Next Article in Journal
The Tomato Interspecific NB-LRR Gene Arsenal and Its Impact on Breeding Strategies
Next Article in Special Issue
Special Issue “Cardiovascular Genetics”
Previous Article in Journal
Long Noncoding RNA HOXA11-AS and Transcription Factor HOXB13 Modulate the Expression of Bone Metastasis-Related Genes in Prostate Cancer
Previous Article in Special Issue
The Desmin (DES) Mutation p.A337P Is Associated with Left-Ventricular Non-Compaction Cardiomyopathy
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

Insights on the Pathogenesis of Aneurysm through the Study of Hereditary Aortopathies

by
Tyler J. Creamer
1,2,
Emily E. Bramel
1,3 and
Elena Gallo MacFarlane
1,2,*
1
McKusick-Nathans Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
2
Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
3
Predoctoral Training in Human Genetics and Molecular Biology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
*
Author to whom correspondence should be addressed.
Genes 2021, 12(2), 183; https://doi.org/10.3390/genes12020183
Submission received: 18 December 2020 / Revised: 20 January 2021 / Accepted: 22 January 2021 / Published: 27 January 2021
(This article belongs to the Special Issue Cardiovascular Genetics)

Abstract

:
Thoracic aortic aneurysms (TAA) are permanent and localized dilations of the aorta that predispose patients to a life-threatening risk of aortic dissection or rupture. The identification of pathogenic variants that cause hereditary forms of TAA has delineated fundamental molecular processes required to maintain aortic homeostasis. Vascular smooth muscle cells (VSMCs) elaborate and remodel the extracellular matrix (ECM) in response to mechanical and biochemical cues from their environment. Causal variants for hereditary forms of aneurysm compromise the function of gene products involved in the transmission or interpretation of these signals, initiating processes that eventually lead to degeneration and mechanical failure of the vessel. These include mutations that interfere with transduction of stimuli from the matrix to the actin–myosin cytoskeleton through integrins, and those that impair signaling pathways activated by transforming growth factor-β (TGF-β). In this review, we summarize the features of the healthy aortic wall, the major pathways involved in the modulation of VSMC phenotypes, and the basic molecular functions impaired by TAA-associated mutations. We also discuss how the heterogeneity and balance of adaptive and maladaptive responses to the initial genetic insult might contribute to disease.

1. Introduction

Aneurysms are permanent, localized dilatations of an artery greater than 50% of the normal diameter. They progressively dilate while remaining mostly asymptomatic until a life-threatening rupture and/or dissection occurs [1]. Prophylactic surgical repair remains the only proven method to prevent risk of death caused by mechanical failure of the vessel [2]. Aneurysms can develop both in the thoracic and abdominal aorta [3]. Aneurysms that affect the abdominal aorta are more common, tend to occur in older individuals, and have no known monogenic cause, although multiple candidate risk loci have been reported [4,5,6]. While less common, thoracic aortic aneurysms (TAA) can develop in the absence of cardiovascular risk factors, affect younger individuals, and have a higher degree of heritability [6,7]. Although a hereditary predisposition to TAA confers an increased risk of aortopathy to all segments of the vessel, pathogenic mechanisms can differ depending on the specific aortic location [8,9]. For example, dissections of the thoracic descending aorta can occur even when dilation is limited or absent and as a complication of proximal aortic repair [10,11,12]. Hereditary forms of TAA are subdivided into syndromic and non-syndromic depending on the presence or absence of manifestations in other organ systems [13]. Syndromic forms of TAA occur in patients affected by connective tissue disorders such as Marfan syndrome (MFS) and Loeys–Dietz syndrome (LDS) [13], all of which have manifestations in organ systems other than the aorta. In contrast, TAAs in hereditary non-syndromic thoracic aortic disease are not usually associated with overt defects in other connective tissues [13]. Several causative genes for both syndromic and non-syndromic TAA have been identified, leading to a better understanding of the mechanisms by which this condition develops [14]. In this review, we summarize critical features of the healthy aortic wall, the molecular functions compromised by TAA-associated mutations, and the proposed mechanisms by which they disrupt aortic homeostasis. Although similarities exist between all forms of TAA, we primarily focus on the pathogenesis of aneurysm of the proximal portion of aorta. We also discuss how mechanistic insights on TAA pathogenesis, and understanding of the regional heterogeneity of the aorta, might instruct the development of medical therapies.

2. Structure and Features of the Normal Aortic Wall

The healthy arterial wall is composed of three distinct layers: the tunica intima, the tunica media, and the tunica adventitia [15] (Figure 1A). The primary cellular component of the tunica intima is endothelial cells, which are arranged in a monolayer directly facing the lumen of the vessel [15]. Endothelial cells are anchored to a basement membrane of collagen, laminin, and proteoglycans and provide a semi-selective, flexible barrier that responds to shear stress, modulates immune responses, and participates in vascular repair [16]. The subendothelial matrix, which in larger animals can include intimal smooth muscle cells, is separated from the next outer layer by the internal elastic lamina [15].
The tunica media is the thickest portion of the arterial wall and the layer that endows the vessel with structural integrity and mechanical functionality [15,17]. It consists of multiple, circumferentially arranged layers of vascular smooth muscle cells (VSMCs) alternating with layers of fenestrated elastic lamellae, which are composed of elastic fibers. VSMCs form extensions that connect to the lamellar layers and are visible by transmission electron micrographs [18,19,20]. In addition, adherens and gap junctions transmit mechanical and biochemical information between adjacent VSMCs [21,22]. This ordered structure is organized within a complex matrix of proteoglycans, glycoproteins, glycosaminoglycans, and various types of collagen [20]. Medial VSMCs are critical to the establishment of the extracellular matrix (ECM) during development, its maintenance during adult life, and its degradation and replacement in response to mechanical and biochemical cues (remodeling) [17,20,23].
The external elastic lamina separates the media from the third and outermost layer of the arterial wall, the adventitia, which is comprised of fibroblasts and, according to some studies, progenitor cells with VSMC differentiation potential, all located within a collagen-rich matrix [24,25,26,27]. This outer layer provides mechanical support to the vessel under both physiological and pathological conditions [28,29]. Adventitial fibroblasts serve a role analogous to that of medial VSMCs by establishing and remodeling the ECM of the adventitial layer in response to developmental and mechanical cues [28]. While thinner arteries comprising of few elastic lamellae, such as those of small rodents, are adequately nourished from the lumen, larger arteries require an external access to a blood supply. In these thicker vessels, the adventitial layer hosts a series of small arteries called vasa vasorum (vessels of the vessel), which supply oxygen and nutrients to the outer two-thirds of the vessel wall [30].

3. Modulation of Medial VSMC Phenotype

Analysis of aneurysmal tissue obtained from both patients and mouse models reveals common end-point characteristics that are observed regardless of etiology [31,32]. Although both the intimal and adventitial layers participate in the disease process [33,34,35], the progressive mechanical weakening of the vessel is caused by the “degeneration” of the tunica media [31,32]. Features associated with medial degeneration include fragmentation of elastic lamellae, increased and/or abnormal deposition of collagen and proteoglycans, and increased wall permeability [36,37,38,39,40,41]. Although glycosaminoglycan and proteoglycans serve important physiological functions and help elastic lamellae resist hemodynamic forces [42,43], the accumulation of these molecules in TAA, either by increased deposition or decreased degradation, obstructs elastic fibers, increases the swelling pressures on the vessel wall, and has been strongly associated with aortic dissection and rupture in a mouse model of MFS [36,40,42,44,45,46]. In our discussion, we focus on the role of VSMCs in initiating and promoting the processes that culminate in media degeneration and mechanical failure of the vessel; we refer to other recent reviews for analysis of the role of endothelial cells and adventitial fibroblasts in arterial pathology [47,48].
In the healthy adult aorta, VSMCs are quiescent and primarily dedicated to regulation of vascular tone through their contractile function [49]. This phenotype can be modified by environmental cues received via receptors that bind ECM proteins and by receptors that bind to soluble or membrane-bound ligands [49,50,51,52]. During TAA development, the dysfunctional integration of mechanical and biochemical signals promotes VSMC transition from a “contractile” to a “synthetic” phenotype, which is characterized by elevated synthetic and proliferative activity and the downregulation of contractile proteins [49,53,54]. In both syndromic and non-syndromic forms of TAA, aortic VSMCs are characterized by an enlarged endoplasmic reticulum suggestive of high synthetic activity, decreased number of actomyosin filaments, and increased expression and secretion of matrix degrading enzymes [55,56,57,58,59,60,61]. Although these phenotypic changes can in some cases participate in vascular repair, they also lead to the deposition of dysfunctional matrix, given that the ability of adult VSMCs to synthetize and properly organize components of the elastic lamellae is limited [23]. In turn, degradation of the ECM caused by excess proteolytic activity can lead to the activation of signaling pathways that are regulated by ECM proteins and/or by ECM-dependent signaling [53].
Multiple signaling pathways are dysregulated in TAA in consequence of all these processes, including those activated by angiotensin II, insulin-like growth factor-1 (IGF-1), platelet-derived growth factor (PDGF), and TGF-β [62,63,64,65]. Mitochondrial dysfunction and the presence of inflammatory cells have also been reported in TAA, although these may represent late features secondary to advanced pathogenesis [66,67,68,69,70]. All these events participate in progressively decreasing the ability of the aortic media to sustain mechanical stress, leading first to dilation and eventually to dissection and/or rupture [53]. It is important to note, however, that dissection and rupture, although clinically overlapping with TAA, can also occur in the absence of these features [71].
Numerous environmental cues can modulate VMSC phenotypes. Although there is significant cross-regulation, these signals can be broadly classified as dependent on mechanical connections between the ECM and VSMCs, or as being primarily activated by cell receptors that bind soluble or cell-bound ligands. We will briefly summarize the basic components of these modulatory pathways by focusing on those elements that have been found to be directly involved in the pathogenesis of hereditary TAA (Figure 1B).

3.1. Modulation of VSMC Phenotype via Interaction with the ECM

VSMCs connect to the ECM via integrins and non-integrin matrix receptor molecules. Non-integrin receptors include CD44 (which binds to hyaluronan, a glycosaminoglycan), discoidin domain receptor tyrosine kinases (which are upregulated in response to injury and bind to collagen), and the receptor for advanced glycation end-products (RAGE), all of which are reviewed in references [21,72].
Integrins, a family of heterodimeric transmembrane receptors formed by the dimerization of an α and a β subunit, are the main transducers of mechanical cues between the ECM and VSMCs. Each heterodimeric combination of integrin molecules binds to specific ECM components [73,74,75]. Upon binding to their corresponding extracellular ligand, integrins undergo conformational changes and localize to focal adhesions, multi-protein complexes that connect ligand-bound integrins to the cytoskeleton through anchoring proteins that bind directly to actin filaments [76,77,78]. The engagement of focal adhesions promotes the activation of several signaling pathways and stretch-dependent polymerization of globular actin (G-actin) into filaments (F-actin) [76,77,78].
Integrin can transduce both biochemical and mechanical information to VSMCs and thus modulate their phenotype in response to the presence of specific ligands in the ECM and in response to shear stress, tension, or “stiffness” [28,74,79]. Integrins α5β1 and αVβ3 connect the actin–myosin cytoskeleton to fibrillin-1 present in microfibrils [23,80]. Microfibrils enclose and support the core of the elastic fibers, which is composed of polymerized and crosslinked monomers of tropoelastin [23,80] (Figure 1B). Other ECM proteins associated with elastic fibers include microfibril-associated glycoproteins (MAGPs) and fibulins (reviewed in detail in reference [23]). The structure comprising of elastic fibers, integrin receptors, anchoring proteins, and cytoskeletal contractile filaments is referred to as the “elastin-contractile unit” [18,81,82]. This structure is critical for transduction of mechanical information that modulates VSMCs phenotypes and helps maintain these cells in a quiescent, contractile non-proliferative state [83,84,85,86].
In VSMCs, the actin–myosin unit is composed of antiparallel filaments of a smooth muscle specific form of actin (α-smooth muscle actin, α-SMA) and myosin filaments that include dimers of a smooth muscle specific myosin heavy chain (smooth muscle myosin heavy chain, SM-MHC) [87]. This structure is responsible for VSMC’s contraction and the regulation of blood pressure through vasoconstriction. Contraction is promoted by signals that increase the intracellular calcium ion (Ca2+) concentration, either through the opening of ion channels on the plasma membrane or by release from internal stores [88,89,90]. Ca2+ binds to and activates calmodulin, which in turn activates myosin light chain kinase (MLCK), the enzyme that phosphorylates myosin light regulatory chains and initiates myosin-dependent conversion of ATP into mechanical energy [88,89,90]. Myosin light chain phosphatase (MLCP) dephosphorylates myosin light regulatory chains and induces relaxation upon decrease of intracellular Ca2+ concentration [88,89,90]. The balance between contraction and relaxation is regulated by signaling pathways that control levels of intracellular Ca2+ concentration and by those that modulate the sensitivity of the actin–myosin unit to changes in Ca2+ concentration via post-translational modifications [88,89,90].
In addition to controlling vascular tone, the contraction of the actin–myosin unit regulates the composition and function of focal adhesions, reinforcing the connections between anchoring proteins, integrins, and ECM, and promoting actin polymerization [91]. Although mechanisms are not fully elucidated, myosin-dependent force generation may affect focal adhesions by inducing tension-dependent conformational changes in both integrins and anchoring proteins, which can then recruit and activate other signaling effectors [92,93,94,95,96]. Accordingly, pharmacological or genetic inactivation of components of the actin–myosin contractile unit has been shown to result in the defective maturation and function of focal adhesions [91,97].
Mechanical stretch can directly activate several cell receptors, kinases, proteases, and other enzymes [50,98,99,100,101,102,103]. Integrin engagement links force generation to modulation of transcriptional activity by the activation of focal adhesion kinase (FAK) and other focal adhesion proteins that shuttle from the cytoplasm to the nucleus, where they regulate the activity of transcription factors such as GATA4 and p53 [104,105,106,107,108,109]. Moreover, force generation via the actomyosin cytoskeleton modulates the regulatory functions of nuclear proteins through the linker of nucleoskeleton and cytoskeleton (LINC) complex [107,110,111,112,113].

3.2. Modulation of VSMC Phenotype by Soluble or Membrane-Bound Ligands

Growth factors, cytokines, and membrane-bound ligands bind to cell receptors expressed on VSMCs and activate signaling pathways that act on several transcription factors, regulating proliferation, synthesis of contractile proteins, deposition of new matrix components, and expression of matrix-degrading enzymes [49,54]. In turn, the remodeled ECM can modify the gradients, bioavailability, and proteolytic activation of matrix-bound ligands [114,115]. Reviewing the vast number of signaling molecules that modulate VSMC’s function goes beyond the scope of this review; however, we will briefly summarize the main features of three pathways that have been specifically implicated in TAA pathogenesis: angiotensin II, TGF-β, and Notch signaling [116,117].

3.2.1. Angiotensin II Signaling via Angiotensin II Type 1 Receptor

The renin–angiotensin system is a critical regulator of both physiological and pathological cardiovascular functions (comprehensively reviewed in reference [118]). Its primary effector ligand, angiotensin II, has both hormone-like and cytokine-like effects on VSMCs [119,120]. Angiotensin II binding to angiotensin II type 1 receptors (AT1Rs) activates signaling pathways that stimulate VSMC contraction within seconds, inducing vasoconstriction and regulating blood pressure [121]. Longer exposures to angiotensin II regulate VSMCs growth, hypertrophy, migration, and ECM deposition [122,123]. In addition, angiotensin II signaling via AT1R can promote vascular inflammation by the upregulation of adhesion molecules and leukocyte chemoattractants [124]. Some of the AT1R effects are mediated by the transactivation of receptors for other growth factors including those for PDGF and epidermal growth factor (EGF) [125,126,127]. AT1R signaling also increases the expression of other signaling molecules, including PDGF, transforming growth factor-β (TGF-β), and reactive oxygen species (ROS) [124,128,129,130].
In VSMCs, AT1R signaling mediates the deposition of collagens in response to mechanical stimulation through a process that depends on increased expression of the TGF-β ligand [129,131,132,133]. AT1R also potentiates TGF-β signaling by inducing the expression of metalloproteinase-2 and -9 (MMP-2 and MMP-9), which are proteolytic enzymes that can catalyze the conversion of inactive ECM-bound latent TGF-β into its bioactive form [134,135,136]. AT1R signaling, which can be triggered through mechanical stretch, independently of angiotensin II [137,138,139,140], has been shown to be overactivated in mouse models of TAA by several mechanisms [117]. These include the upregulation of Agtr1a (the gene that in rodents codes for the major form of AT1R expressed in the thoracic aorta) via the ROS-dependent activation of nuclear factor kappa B (NF-kB); the de-repression of Agtr1a expression as a consequence of defective TGF-β signaling; and increased expression of angiotensin-converting enzyme, which is a positive regulator of the pathway [141,142,143].

3.2.2. TGF-β Signaling

TGF-β ligands (TGF-β1, TGF-β2, and TGF-β3) are secreted as inactive latent complexes that are activated by chemical (acidification), mechanical (integrins), and enzymatic (proteases) processes within the ECM [144]. After conversion to its active form, TGF-β ligand binds to a tetrameric receptor complex formed by TGF-β receptor I (TβRI) and TGF-β receptor II (TβRII), and it induces receptor-mediated phosphorylation of intracellular signaling mediators, which are mothers against decapentaplegic homolog 2 (Smad2) and 3 (Smad3) [145]. Phosphorylated Smad2 and Smad3 (p-Smad2/3) bind to the common-mediator Smad4, translocate to the nucleus, and regulate the transcription of TGF-β target genes [146]. The activation of Smad signaling induces the expression of inhibitory Smad proteins, Smad6 and Smad7, which suppress signaling in a negative feedback loop [147]. Additional repressors of TGF-β signaling include transcription co-factors Ski and SnoN, which negatively regulate signaling by disrupting the formation of complexes between Smad2/3 and Smad4, and by inhibiting their association with p300 coactivators [148,149,150,151].
Focal adhesion-dependent tension modulates TGF-β signaling both negatively and positively [152]. Focal adhesions can negatively regulate TGF-β signaling by physically separating TβRI, which is found within focal adhesions, from TβRII, which is more commonly located around the edges, thus preventing formation of the functional TβRI/TβRII signaling complex [153]. The inhibition of myosin-dependent force generation disrupts tension and results in re-assembly of the TβRI/TβRII receptor complex, allowing signal transduction [153]. Force generation through the actin–myosin contractile unit can also positively regulate TGF-β signaling by generating sufficient tension to promote the integrin-mediated release of bioactive TGF-β from its latent biologically inactive complex [154,155].
TGF-β signaling regulates many aspects of VSMC biology, including positive regulation of VSMC-specific transcripts such as Myh11, Acta2, and Cnn1 (coding for SM-MHC, αSMA, and Calponin-1, respectively) [156,157,158]. Positive effectors of TGF-β signaling and TGF-β-responsive genes are upregulated in aneurysmal lesions of various etiology in both patients and mouse models, where they contribute to both adaptive and maladaptive responses [65,117,159,160,161,162]. TGF-β signaling also closely interacts with other pathways that regulate VSMC phenotypes, including AT1R and Notch signaling [54,163].

3.2.3. Notch Signaling

Notch signaling is activated by engagement of a Notch receptor (Notch1 to Notch4) by one of its ligands (Jagged1/2 and Delta-like1/3/4 ligands) [116]. The binding of Notch to its cognate receptor induces a conformational change that triggers multiple proteolytic processing steps that release the Notch intracellular domain (NICD) from the membrane and promote its translocation to the nucleus, where it regulates transcription via interaction with other factors [164].
Adult VSMCs express Notch1, Notch2, and Notch3 receptors and the ligand Jagged-1. Notch2 and Notch3 appear to be the main receptors modulating phenotype and functions in VSMCs, but the activation of both Notch1 and Notch3 facilitates VSMC migration in vitro [165,166,167,168]. Signaling initiated by interactions between receptors and ligands expressed on neighboring VSMCs positively regulates the transcription of multiple transcripts including Acta2 and Pdgfbr (coding for PDGF-β receptor) [168,169,170]. Whereas Notch positively regulates VSMC specification during development, its role in the modulation of adult VSMC phenotypes is less clear, having been shown to promote both “contractile” and “synthetic” phenotypes, depending on the study [168,171,172,173,174,175,176].
Notch signaling interacts with both angiotensin-II and TGF-β signaling. In podocytes, stimulation with angiotensin II upregulates Notch1, and inhibition of Notch1 decreases angiotensin-II dependent upregulation of Tgfb1 while promoting upregulation of MMP-2 and MMP-9 [177]. Notch and TGF-β signaling cooperate to induce the expression of contractile proteins, including through the direct binding of Smad2/Smad3 to CBF1, which is a Notch-regulated transcription factor [174,178,179]. However, Notch signaling antagonizes TGF-β signaling by reducing the expression of TGF-β receptor II via the induction of miR145 [180]; in turn, TGF-β antagonizes Notch signaling by decreasing the expression of Notch3 [181]. The expression of Notch ligands and receptors is dysregulated in TAA, and defective Notch signaling has been associated with TAA that develops in patients with malformations of the aortic valve [175,182,183].

4. Genes Associated with Syndromic and Non-Syndromic Hereditary Thoracic Aortic Aneurysm

The identification of genetic variants that cause hereditary forms of aneurysm provides the opportunity to clearly define the molecular deficiencies that initiate this disease. Several recent reviews have summarized the current list of approximately 30 genes involved in the development of either syndromic or non-syndromic forms of TAA [14,184,185,186] (Figure 1B). Although criteria for inclusion vary, 11 genes are currently confirmed as “definitive” determinants of highly penetrant TAA based on the Clinical Genome Resource framework [187]. Despite this progress, a causative mutation is found in only approximately 30% of patients with a clear positive family history, suggesting that causative mutations in genes not currently tested in familial cases of TAA remain to be identified [184].
Mutations that cause TAA interfere with the function of genes that encode components of the ECM or proteins implicated in the transduction of either mechanical or biochemical signals in VSMCs [14,184,185,186]. The list of known TAA-associated genes, mode of inheritance, the primary biochemical function perturbed by causal variants, and associated disease are described in Table 1. Detailed phenotypic features of syndromic and non-syndromic TAA disorders, and the implications for clinical management, have been described in detail elsewhere and will not be discussed here [6,13,184,185,186]. Instead, we discuss the basic molecular functions that are impaired by TAA-associated mutations and the mechanisms by which these deficiencies may initiate TAA pathogenesis.

4.1. Genes Coding for Components of the Extracellular Matrix

4.1.1. Fibrillin-1

Several TAA-causing mutations are found in genes coding for structural components of elastic fibers or for proteins necessary for their assembly or maturation. FBN1 codes for fibrillin-1, the primary component of microfibrils, which surround and connect elastic fibers to cellular integrins [80,233]. Heterozygous nonsense, missense, and complete deletions of FBN1, as well as mutations affecting splicing, cause hereditary aneurysms associated with MFS [188,234,235,236]. Loss-of-function mutations in FBN2, the gene coding for fibrillin-2, cause congenital contractural arachnodactyly; although these mutations are associated with aortic dilatation and dissection in some patients, TAA is not a common phenotype, which is likely a consequence of the compensatory effect of fibrillin-1 [200,201]
TAA-associated FBN1 mutations result in defective synthesis, secretion, and/or the incorporation of fibrillin-1 in microfibrils [234,236,237,238]. In MFS mouse models, loss of fibrillin-1 results in defective connections between VSMCs and elastic lamellae, probably because of reduced integrin binding to elastin-associated microfibrils [80,239]. Mutations in FBN1 have also been proposed to reduce the ability of fibrillin-1 to bind and sequester the latent TGF-β complex into the ECM, thus promoting its conversion into bioactive TGF-β and causing excess activation of this pathway [159,240,241]. However, whereas mice carrying MFS-causing mutations in fibrillin-1 develop TAA, mice expressing a mutant form of fibrillin-1 engineered to lack its TGF-β-binding domain do not [242,243]. This evidence suggests that the mechanism by which mutant fibrillin-1 leads to over-activation of TGF-β may be more indirect. Under the revised hypothesis, loss of connection between integrins and mutant fibrillin-1 initiates phenotypic changes in VSMCs that culminate in the induction of MMPs and, consequently, the proteolytic activation of latent TGF-β [239,243,244,245].

4.1.2. Lysyl Oxidase

Heterozygous inactivating mutations in the LOX gene, which encodes lysyl oxidase, cause aneurysms in both patients and animal models [197,198,246]. Lysyl oxidase catalyzes the oxidation of lysine residues and crosslinking reactions necessary for the assembly and stabilization of both collagen and elastin [247,248,249]. In consequence, patients and mouse models carrying mutations that reduce the levels or activity of this enzyme show impaired assembly of collagen and elastic fibers in the aortic wall [197,198,246]. Lysyl oxidase has also been proposed to regulate cell signaling by the direct modification of cell surface receptors and ligands [250,251]. Although direct oxidative deamination of lysine residues in TGF-β1 was not proven, lysyl oxidase binds to TGF-β1 in vitro, and genetic or pharmacological inhibition of lysyl oxidase activity in cell culture results in increased responsiveness to TGF-β, as measured by the induction of pSmad3 and Smad-dependent transcriptional activity [252,253]. It is not known if the impairment of these latter functions contributes to the mechanism by which LOX mutations cause TAA [254,255].

4.1.3. Fibulin-4

Phenotypes similar to those caused by deficiency in lysyl oxidase activity are observed as a consequence of homozygous loss-of-function variants in EFEMP2, the gene coding for fibulin-4, a matrix glycoprotein. These mutations are predicted to interfere with fibulin-4-mediated enhancement of lysyl oxidase enzymatic activity and/or recruitment to immature elastin molecules [248,256,257]. Accordingly, fibulin-4 deficiency results in disorganized collagen and elastin fibers in the aortic wall as well as aneurysms of the ascending aorta in both patients and mouse models [248,258,259]. Fibulin-4-deficient mouse models develop ascending aortic aneurysms in association with loss of connections between the elastic fibers and VSMCs, and secondary upregulation of angiotensin II signaling [260,261]; this process was shown to depend on increased sensitivity of fibulin-4-deficient VSMCs to mechanical stretch, which causes an upregulation of thrombospondin-1—a matrix glycoprotein that negatively regulates cell adhesion and positively regulates both angiotensin II and TGF-β signaling [261]. Germline genetic inactivation of thrombospondin-1 in fibulin-4-deficient mice improved the appearance of elastic fibers in the aorta and restored connections between the elastic lamina and VSMCs, suggesting that in these mouse models, pathogenesis was initiated by disruption of the elastin-contractile units and aggravated by downstream upregulation of factors, such as thrombospondin-1, that further compromise the establishment of ECM–VSMC contacts [261].

4.1.4. Microfibril-Associated Glycoprotein 2

Loss-of-function mutations in MFAP5, which codes for microfibril-associated glycoprotein 2 (MAGP2) [196], also predispose to development of TAA. MAGP-2 (and MAGP-1) are matrix glycoproteins that interact with fibrillin-1 and modulate both TGF-β and Notch signaling [262,263,264]. However, the mechanism by which mutations in these genes initiate disease is not fully understood [263].

4.1.5. Biglycan

X-linked inactivating mutations in the BGN gene, which codes for the ECM protein biglycan, cause syndromic forms of TAA [195]. Biglycan is a small leucine-rich proteoglycan (SLRP) that interacts with, and regulates the function of, several matrix proteins, including collagen and TGF-β [265,266,267,268]. Biglycan-deficient male mice die from aortic rupture; analysis of aortic tissue shows the presence of smaller collagen fibrils, leading to the hypothesis that a defective collagen structure reduces the resistance of the aorta to passive stress [269,270]. Supplementary to its structural roles, biglycan also binds and sequester TGF-β in the ECM, acting as a negative regulator of TGF-β activation [271,272]. Its deficiency may thus increase TGF-β bioavailability through a mechanism similar to what was originally proposed for MFS-causing mutations in FBN1 [195,270].

4.1.6. Collagen Type III α 1 Chain

Mutations in the collagen gene COL3A1 are associated with Ehlers–Danlos syndrome (EDS) [193,194], which is a syndrome associated with spontaneous arterial dissection and/or rupture in the absence of preceding aneurysmal dilatation [192,193,194]. These mutations interfere with the maturation and deposition of collagen, suggesting that this molecule serves a protective function against catastrophic failure of the aortic wall [255,269,273]. Notably, work performed in mouse models of EDS suggests that the protective role of collagen might go beyond its structural function and encompass the indirect regulation of signaling mechanisms that can be targeted pharmacologically to reduce the rate of rupture and death [274].

4.1.7. Tropoelastin

Rare mutations in ELN, the gene coding for tropoelastin, cause autosomal dominant Cutis Laxa (ADCL), which is a condition that is associated with aortic dilatation and rupture in approximately 30–50% of patients [85,199,275]. Most of the genetic abnormalities in ADCL are frameshift mutations that result in an elongated tropoelastin protein, which forms larger aggregates with the reduced ability to bind microfibrils [276]. These mutations are proposed to cause abnormal deposition and the assembly of elastic fibers via a dominant negative effect; they may also cause endoplasmic reticulum stress and apoptosis through the accumulation of misfolded tropoelastin [85,277,278].
Whereas dysfunctional elastin has been associated with TAA, elastin insufficiency associates with inherited obstructive arterial diseases; heterozygous loss-of-function mutations in ELN, including deletion of the whole gene, cause supravalvular aortic stenosis and Williams Beuren Syndrome, but not aneurysm [85,279,280,281,282,283,284,285]. Similarly, Eln-/- mice, which completely lack elastin, die of obstructive arterial disease, not dissection, a few days after birth [283]. This is in contrast with Lox-/- mice, which lack lysyl oxidase, and which also die perinatally, but show large aortic aneurysms [246]. More recently, VSMC-specific elastin deficiency was shown to result in almost a complete depletion of elastic lamina in the arterial wall, lengthening and thickening of the ascending aorta, mild luminal obstruction, aortic coarctation, and secondary cardiomyopathy, but not dilation or aneurysm [286]. Mouse models with only one functional Eln allele are hypertensive and have a paradoxically increased number of elastic lamellae, but they show no overt signs of degenerative vascular disease, and again, no aneurysm or dissection [287,288]. Although the limited lifespan of elastin-deficient mice prevents their long-term observation, complete loss of elastic lamellae—and thus of the elastin-contractile unit—does not appear to be sufficient to initiate the development of aneurysm. Similarly, patients with homozygous loss-of-function mutations in FBLN5, the gene coding for fibulin-5, develop autosomal recessive Cutis Laxa type IA (ARCL1A). Deficiency in fibulin-5, a matrix protein that assists in the deposition of tropoelastin on microfibrils, results in impaired elastic fiber assembly and fragmentation of elastic laminae in the aorta, but there is no evidence of aneurysms or dissections in either patients or mouse models [276,289,290,291,292]
Taken together, this mutational repertoire strongly suggests that interference with the assembly and function of elastic lamellae, and therefore impairment of the elastin-contractile unit, is an initiating event in aneurysm pathogenesis [82,293]. However, the fact that mere loss of elastin is insufficient to cause TAA suggests that additional mechanisms actively causing dysfunctional signaling downstream of integrins and focal adhesion may be necessary to trigger aortic dilation.

4.2. Genes Coding for Proteins Involved in Transduction of Mechanical Signals

4.2.1. Smooth Muscle Specific Contractile Proteins, α-SMA and SM-MHC

Mutations in genes involved in the structure or regulation of actomyosin filaments cause familial cases of TAA. These include mutations in ACTA2, the gene coding for α-SMA, and in MYH11, which codes for SM-MHC [217,218,294,295,296]. Mutations in these genes are predicted to result in decreased ability of the corresponding monomeric protein to assemble into polymeric filaments, thus impairing the function of the actin–myosin contractile unit [62,217,218,294,295,296].

4.2.2. Myosin Light Chain Kinase and cGMP-Dependent Protein Kinase

TAA-causing mutations are also found in genes involved in the regulation of myosin-dependent contraction [87]. TAA-associated mutations in MYLK, which codes for MLCK, reduce its kinase activity and thus impair contraction and promote relaxation [219,297,298,299]. Similarly, one recurring TAA-associated gain-of-function mutation (pR177Q) in PRKG1, which codes for type I cGMP-dependent protein kinase (PKG-1), results in the constitutive activation of PKG-1, a cGMP-activated enzyme that promotes relaxation by phosphorylating and activating MLCP [87,220].

4.2.3. Filamin-A

X-linked loss-of-function mutations in the FLNA, which codes for filamin A, result in an increased risk of TAA, among other symptoms [221,222,224,300]. Filamin A is a cytoskeletal regulatory protein with multiple functions, including as an anchoring protein within focal adhesions, as a linker between actin filaments, and as a scaffold for many signaling pathways [301,302,303,304]. It is not clear which of the many functions of filamin A is critical to the prevention of TAA [224].

4.2.4. Ari-1

Rare variants in ARIH1, which codes for Ariadne drosophila homolog 1 (Ari-1), are found in individuals with aortic or cerebrovascular aneurysms [225]. Ari-1 is a component of the LINC complex, and VSMCs derived from patients carrying these mutations show aberrant nuclear morphology in culture [225]. The existence of these mutations suggests that defective LINC complex function, which links actomyosin function to nuclear and epigenetic regulation, may play a role in aneurysm development [111,112]. Recently, histone deacetylase 9 (HDAC9) was found to be upregulated in aortic tissue samples from syndromic, familial, and sporadic cases of TAA, and to be involved in epigenetic silencing of cytoskeletal and contractile proteins [305]. The defective epigenetic regulation of gene expression by histone modifications, deoxyribonucleic acid (DNA) methylation, and noncoding ribonucleic acids (RNA) has been shown to be involved in TAA pathogenesis and is reviewed in ref. [306].
The fact that mutations in genes that control the function of actin–myosin complexes cause TAA clearly points to the importance of force generation to the homeostasis of the aortic wall [87]. Together with mutations that affect elastic fiber assembly, these mutations strongly suggest that dysfunctional connections between ECM, integrins, and cytoskeleton initiate the pathogenic process in TAA [82,87]. However, it remains unclear which of the numerous mechanical functions served by the actin–myosin contractile unit, which is involved in the force-dependent regulation of biochemical signals and transcriptional programs, is most crucial to preventing pathogenic phenotypic changes in VSMCs [53].

4.3. Genes Coding for Proteins Involved in Transduction of Biochemical Signals

4.3.1. Positive Regulators of the TGF-β Signaling Pathway

Heterozygous loss of function mutations in genes coding for positive regulators of TGF-β signaling, including receptors (TGFBR1, TGFBR2), transduction molecules (SMAD3 and SMAD2), and ligands (TGFB2 and TGFB3) cause TAA associated with LDS [202,203,204,205,206,207,307,308,309,310,311]. Additionally, individuals with compound heterozygous or homozygous variants in LTBP3, the gene encoding latent TGF-β binding protein 3 (LTBP3), suffer from aneurysms and dissections of the thoracic aorta and other arteries [210]. Although LTBP3 maintains TGF-β into its latent state, and thus could be considered a negative modulator, it is also necessary for its secretion, and thus, LTBP3 deficiency is associated with impaired TGF-β signaling [312]. This mutational repertoire clearly indicates that a decrease in canonical TGF-β signaling initiates the pathogenic process that culminates in the development of aneurysm. However, the exact pathogenic mechanisms, and the process by which it leads to aneurysmal lesions invariably associated with increased or, in some cases, unchanged, TGF-β activity (as measured by levels of pSmad2/3 and expression of target genes), remains unclear [142,202,203,204,205,206,207,308,309,310,311,313,314,315].
Regardless of the specific mechanism, most models have envisioned an initial phase of defective TGF-β signaling followed by a phase of increased signaling, which is associated with excess activation of AT1R signaling. However, models diverge regarding the mechanisms that trigger the transition from a “low” to a “high” TGF-β state. One model suggests that reduced TGF-β signaling impairs the expression of critical contractile proteins, thus causing defects in the elastin-contractile unit that trigger the upregulation of angiotensin II and TGF-β signaling as part of an “injury” response [5,41]. As discussed, TGF-β positively regulates the expression of contractile proteins, and therefore, the effect of defective TGF-β signaling could resemble that of mutations impairing α-SMA or SM-MHC function [141,156,307,316]. However, decreased expression of contractile proteins is not uniformly detected in aneurysmal tissue or in VSMCs from LDS patients and mouse models, or upon postnatal genetic inactivation TGF-β signaling, with studies reporting both increased or decreased expression [313,315,317,318,319].
Another model proposes that LDS mutations, which impair but do not fully abolish signaling, have an uneven effect on the signaling capacity of VSMCs of different embryonic lineages (and potentially on that of different cell-types), and drive excess signaling thorough mechanisms that depend on this imbalance [142,320]. The proximal thoracic aorta is populated by VSMCs derived from cardiac neural crest (CNC) [321] and second heart field (SHF)-derived progenitors [322,323]. In mouse models of LDS carrying a kinase-inactivating mutation in Tgfbr1 (Tgfbr1M318R/+), SHF-derived VSMCs showed the expected deficit in responsiveness to TGF-β, whereas CNC-derived VSMCs retained normal signaling capacity [142]. This associated with the upregulation AT1R-dependent TGF-β ligand expression in SHF-derived VSMCs and an excessive activation of TGF-β signaling in surrounding CNC-derived VSMCs [142,320]. Interestingly, studies of human TAA samples have observed that an increased storage of TGF-β1 is not uniform across the media thickness and tends to accumulate in the outer third of the media, closer to the adventitial layer, where SHF-derived cells are predicted to reside [65,323,324].
Work conducted in induced pluripotent stem cells (iPS)-derived VSMCs has confirmed that lineage-of-origin modifies the effect of LDS-causing mutations, impairing signaling in SHF-like VSMCs derived from cardiovascular progenitors, while leaving the signaling capacity of CNC-derived VSMCs intact or increased [325]. Only SHF-like VSMCs, but not CNC-derived VSMCs, had reduced the expression of genes that promote a contractile phenotype [325]. Taken together, these data suggest that the two models might be reconciled by hypothesizing that SHF-derived VSMCs are the cells that primarily undergo phenotypic switching, downregulating the expression of contractile proteins, and upregulating AT1R-dependent secretion of TGF-β, thus causing increased signaling in neighboring CNC-VSMCs [325].

4.3.2. Negative Regulators of the TGF-β Signaling Pathway

Mutations in genes coding for negative regulators of the TGF-β pathway have been associated with syndromic forms of aneurysm. As discussed earlier, aneurysms can be caused by inactivating mutations in the BGN gene, which can function as a negative regulator of TGF-β signaling [195,271,272]. Additionally, Shprintzen–Goldberg syndrome (SGS) is caused by mutations in the SKI gene proposed to interfere with SKI’s ability to bind and inactivate the transcriptional activity of Smad proteins [149,211,212,326]. More recently, however, these mutations have been shown to stabilize the SKI protein, causing attenuation rather than enhancement of TGF-β signaling as originally proposed [327].

4.3.3. Notch1

The perturbation of Notch signaling, a pathway that can both cooperate and antagonize TGF-β signaling during VSMC differentiation, increases susceptibility to aortic aneurysm [174,175,176]. Although the mechanisms remain unclear, loss-of-function mutations in NOTCH1 predispose to hereditary forms of aneurysms that associate with aortic valve defects [213,214,215,216,328]. The effect of these mutations is often variable and may be modified by the presence of additional predisposing factors [175]. In mouse models, Notch1 haploinsufficiency causes aortic dilation in mice of a permissive genetic background (129S6) and exacerbates aortic root pathology of MFS mouse models, independently of aortic valve defects [329]. Although the mechanisms by which loss of Notch signaling causes TAA remain unclear, defective developmental interactions between endothelial cells and VSMCs, and direct effects on VSMC phenotype have both been proposed [175,183,330]. Notably, whereas Notch signaling appears to be protective in TAA, it tends to exacerbate inflammation-driven AAA [175,331,332].

4.4. Genetic Variants Associated with Bicuspid Aortic Valve (BAV) with Aneurysm

Bicuspid aortic valve (BAV) is a common congenital defect that can be present in isolation or in association with other syndromic manifestations, and which associates with an increased risk of aortic aneurysm, frequently affecting the ascending aorta [2,6,117,333]. Although the genetic architecture of BAV is complex, increased risk for BAV is generally inherited in an autosomal-dominant manner, with variable expressivity and incomplete penetrance [334]. Genetic abnormalities associated with an increased risk for BAV with aneurysm include those that cause syndromes such as LDS and Turner syndrome [334], and TAA-associated mutations in genes such as NOTCH1, ELN, ACTA2, FBN1, and LOX (discussed above), all of which, however, explain a very small portion of all BAV cases [213,217,236,277,335,336,337]. Genetic variants associated with BAV have also been identified in genes coding for transcription factors of the GATA family [338,339,340,341], modulators of the Bone Morphogenic Protein (BMP) signaling pathway [342,343,344], members of the A Disintegrin And Metalloproteinase With Thrombospondin Motifs (ADAMTS) family of multidomain extracellular proteases [345,346], and the transcription factor TBX20 [347]. Recently, mutations in the gene ROBO4, which codes for Roundabout homolog 4 (ROBO4), have been identified in patients with BAV and aneurysm of the ascending aorta [348]; these mutations are predicted to interfere with ROBO4′s function in the modulation of endothelial to mesenchymal transition [348]. Although aneurysms of the ascending aorta associated with BAV share features such as medial degeneration and VSMC phenotypic abnormalities with other forms of TAA, their pathogenesis is partly distinct, might involve a greater contribution of endothelial cell dysfunction and blood flow disturbances [47], and is reviewed in detail in references [349,350,351,352].

5. Proposed Model of TAA Pathogenesis Based on the Function of Known Causal Variants

The discovery of mutations that cause hereditary forms of TAA has identified fundamental cellular and molecular process that are necessary to retain VSMC homeostasis and prevent medial degeneration. The preponderance of evidence supports a model whereby a defective assembly of connections between the ECM and VSMCs initiates the phenotypic transition of these cells from a quiescent, contractile phenotype to one that is highly synthetic and conducive to proteolytic degradation of the ECM [5,53,353] (Figure 2). Experiments in mouse models of TAA associated with fibrillin-1 and fibulin-4 deficiency indicate that defective connection of VSMCs to the elastic laminae is an early event in pathogenesis, which is followed by the downregulation of contractile proteins, upregulation of metalloproteases, and induction of signaling pathways that further promote phenotypic switching and matrix degradation [239,261]. Accordingly, single-cell RNA sequencing (scRNA-Seq) analysis of aortic tissue from a mouse model of MFS shows that although the expression of transcripts coding for contractile proteins such α-SMA, SM-MHC, and Calponin-1 is unchanged at early stages of the disease, the expression of these markers progressively decreases in association with the upregulation of AT1R and TGF-β signaling in a specific subset of VSMCs [239,244,354].
However, a loss of VSMC-elastic fibers connections does not appear to be sufficient to cause aneurysmal disease, given that elastin deficiency associates with obstructive arterial diseases and VSMC over-proliferation, but not aneurysm [85,293]. TAA-causing mutation may result in the abnormal assembly, maturation, and function of focal adhesions and actively perturb focal adhesion- and force-dependent signaling in a manner that is not recapitulated by simple loss of attachments to elastin fibers [28,87,91,355]. Then, dysfunctional signaling downstream of focal adhesions would promote the upregulation of metalloproteinases and other matrix proteins, such as thrombospondin-1, which positively regulate AT1R and TGF-β signaling, further exacerbating ECM pathogenic remodeling [239,244,261,354]. Although the direct potentiation of TGF-β receptor activity by interference with myosin-driven focal adhesion maturation has been shown in vitro, it is not known whether it occurs in vivo [152,153].
In this model, mutations in components of matrix proteins or enzymes necessary for their assembly/maturation would initiate disease by directly compromising the function of elastic fibers or other ECM structures to which integrins connect, whereas mutations in components and regulators of the actin–myosin cytoskeleton would do so by perturbing tension and/or myosin-dependent maturation of focal adhesions [62,141,217,218,219,239,261,294,295,296,297,298,299].
Mutations in components of signaling pathways that play a positive role in VSMC differentiation, such as TGF-β and Notch signaling, would initiate disease indirectly by interfering with the expression of components required for the assembly of functional focal adhesions. For example, TGF-β signaling controls the assembly of elastic fibers by regulating the expression of fibrillin-1, elastin, and lysyl oxidase; it also modulates the expression of proteins involved in focal adhesion and cytoskeletal rearrangement such as paxillin, Sm22 (Transgelin), and Lin11, Isl-1, and Mec-3 (LIM) domain-containing proteins CRP2 and zyxin [356,357,358,359,360,361,362,363,364,365]. Once lost, the opportunity to establish proper VSCM–ECM connections may be lost forever, given that adult VSMCs have a limited ability to elaborate and organize components of the elastic fibers [23,293]. As a result, once dilation or aneurysm is detectable, the activation of adaptive and maladaptive pathways in response to the original molecular defect would be ongoing.
Current therapeutic strategies focus on decreasing the rate of dilation, and the associated risk for acute aortic events, by reducing hemodynamic stress on the vessel wall with anti-hypertensive drugs, such as inhibitors of the β-adrenergic receptor [366]. A better understanding of adverse and beneficial signaling pathways activated in response to the primary genetic insult might allow the development of therapies that attempt to disentangle homeostatic and adaptive processes from maladaptive responses [367]. In this context, interventions aimed at reversing pathogenic transcriptional signatures that are epigenetically “locked in”, such as defective expression of Sm22, might prove beneficial [305,368].

6. Adaptive and Maladaptive Responses in TAA: Implications for Therapy

We have a limited understanding of the compensatory mechanisms activated in response to germline TAA-associated mutations. Feedback responses attempting to offset the negative consequences of a given genetic variant are active throughout prenatal and postnatal development and might significantly modify the structural, cellular, and molecular properties of the adult aorta. Mechanisms that are adaptive early, such as the activation of secondary pathways that compensate for the initial deficiency, might become maladaptive later on due to divergent effects on adult versus embryonic tissues, over-activation, or secondary activation of deleterious pathways. This might be especially true for mutations that impair signaling involved in morphogenesis, such as TGF-β and Notch signaling, given that the mitigation of defective signaling in these pathways is a condition necessary for the development of vascular structures and survival [175,369,370]. Additionally, while it is tempting to assume that all the phenotypic changes observed in TAA at the structural, cellular, and molecular level are contributing factors to disease, some may represent ongoing beneficial compensatory responses.

6.1. Adaptive and Maladaptive Roles of “Aortic Stiffness”

Loss of elastin and the increased deposition and crosslinking of collagen during aneurysm development translate into biomechanical changes that include reduced distensibility and increased stiffness of the aorta [71]. Changes in stiffness modulate VSMCs phenotypes through integrins and focal adhesions; although stiffness is generally associated with the retention of a “contractile” phenotype, excess stiffness can also increase sensitivity to growth factors, such as PDGF, which promotes a “synthetic” phenotype, and enhanced ECM stiffness has been shown to promote a switch from a “contractile” to a “synthetic” phenotype through the downregulation of DNA methyltransferase 1 [355,371,372,373].
Perhaps unintuitively, increased stiffness (resistance to deformation) can associate with decreased vessel strength (ability to withstand stress without breaking), with one study measuring an approximately 30% decrease in vessel strength accompanied by a 72% increase in stiffness in aneurysmal versus nonaneurysmal ascending aorta [374,375]. Correlations between increased stiffness and aortic dilatation have been reported in numerous studies of both patients and mouse models of TAA [376,377,378,379,380,381,382,383,384,385,386,387,388,389,390].
Although measures of distensibility and circumferential strain lose predictive power once aortic diameter is included in the analysis, a recent study of one hundred and seventeen MFS patients showed that measurements of longitudinal strain in the proximal aorta was a predictor of adverse aortic events (such as elective aortic root surgery or dissection), thus providing support to the notion that aortic stiffness could be considered for the stratification of patients based on risk [376,391,392].
These observations may suggest that increased collagen deposition and crosslinking is uniformly deleterious in TAA. However, other studies have shown that collagen deposition, especially in the adventitial layer, can be protective and part of beneficial “scar repair” mechanisms preventing transmural ruptures [71,375,393,394]. Consistent with these latter observations, genetic or pharmacological inactivation of lysyl oxidases, enzymes necessary for collagen and elastin cross-linking, cause or exacerbate aneurysm in patients and animal models [197,198,246,255,269,273,395,396,397]. The detrimental effects of fluoroquinolones on TAA pathogenesis have also been attributed to excess ECM degradation and reduced levels of collagen [398,399,400,401].
Taken together, these data suggest that the deposition of properly crosslinked collagen confers strength to the vessel, thus protecting it from mechanical failure. However, its effect might be highly dependent on the type and quality of collagen and the effect of ECM stiffness on VSMC phenotypes [71,402,403,404,405]. In vitro experiments in which levels of stiffness can be experimentally modulated show that both overly soft and overly stiff substrates fail to support functional focal adhesions and actin–myosin dynamics, and that nanoscale level patterning of substrata that mimics physiological conditions can modulate the effect of stiffness; VSMCs grown on nanopatterned soft substrata had a higher expression of VSMC markers associated with a quiescent, contractile phenotype (smoothelin, calponin-1), and lower expression of inflammatory markers (monocyte chemoattractant protein-1) relative to nanopatterned “stiff” substrata, suggesting that matrix architecture and mechanics have combinatorial effects on VSMC mechanosensing and differentiation pathways [402,403,405].

6.2. Adaptive and Maladaptive Roles of TGF-β Signaling

Work performed in animal models clearly shows that TGF-β signaling is essential for aortic development and morphogenesis [406,407]. Additionally, the ablation of TGF-β signaling in VSMCs by the genetic inactivation of Tgfbr2 postnatally results in aortopathy and dissections as well as an exacerbation of pathology in mice with a pre-existing genetic predisposition to aortic aneurysm, suggesting that postnatal aortic VSMCs require a basal level of TGF-β signaling for homeostasis [317,318,408]. Moreover, as discussed, heterozygous, inactivating mutations in positive effectors of this pathway cause hereditary forms of TAA [202,203,204,205,206,207,307,308,309,310,311]. In consequence of these observations, the increased levels of TGF-β ligand and nuclear pSmad2/3 observed in aneurysmal tissue obtained from patients and models carrying these mutations has been proposed to be part of a “repair” response [5,41].
Beneficial roles of TGF-β in TAA may include the suppression of AT1R signaling, induction of protective factors such as nexin-1 and proteases inhibitors, and promotion of contractile proteins expression [317,409,410,411,412,413]. In addition, TGF-β-dependent induction of collagen, lysyl oxidases, and other pro-fibrotic factors might contribute to thickening of the adventitial layer, which, as discussed, can be protective [71,269,364,414,415,416,417]. On the other hand, maladaptive effects of excess TGF-β signaling include an induction of glycosaminoglycans and proteoglycan accumulation within the arterial wall, upregulation of proteolytic enzymes that exacerbate ECM destruction, and stimulation of ROS production thorough several mechanisms, including by upregulation of NADPH oxidases (Nox) [46,418,419,420,421,422,423,424,425,426,427,428].
Accordingly, in contrast to the complete inactivation of TGF-β signaling in VSMCs, which unvaryingly enhances pathogenesis, the effect of partial TGF-β antagonism with neutralizing antibodies or by the inactivation of Smad proteins in selected cellular subsets is varied. Systemic TGF-β neutralization had no effect on angiotensin II-induced TAA [429], and it either had a beneficial or dimorphic effect in mouse models of MFS, with perinatal and postnatal antagonism being detrimental and beneficial, respectively [159,430,431]. In a recent study in a MFS mouse model, the beneficial effect of TGF-β neutralizing antibodies was correlated with a reduced expression of Nox4, restoration of normal levels of dihydrofolate reductase, and reduced levels of ROS production [431]. Additional studies in mouse models of hereditary TAA have shown that while germline Smad4 haploinsufficiency is deleterious in MFS, Smad2 deletion in CNC-derived VSMCs is beneficial in a mouse model of LDS [142,432]. Taken together, these data indicate that TGF-β signaling can serve both protective and pathogenic roles in TAA depending both on cell type and stage of disease [35,433].

6.3. Adaptive and Maladaptive Roles of Angiotensin II Signaling

In contrast with direct TGF-β antagonism, treatment with antagonists of AT1R signaling, such as the angiotensin receptor blocker (ARB) losartan, invariably prevents the development of aneurysm in animal models; this beneficial effect associates with reduced levels of TGF-β ligand, pSmad2/3, and the expression of TGF-β target genes [117,143,159,313,434,435,436]. In addition, the deletion of Agtr1a (gene encoding AT1R in mice) prevents aortic root dilation in two different MFS mouse models [437,438]. The beneficial effects of AT1R antagonism in mouse models of TAA have been attributed to its anti-hypertensive effects and to the inhibition of fibrotic, hypertrophic, and mitogenic responses activated by TGF-β and mitogen-activated protein kinase (MAPK) signaling [159,258,432,439]. Additionally, losartan treatment could reduce the AT1R-dependent secretion of glycosaminoglycans, whose accumulation has deleterious effects on the aortic wall [46,440]. Based on this evidence, several clinical trials have been initiated to test the efficacy of AT1R antagonism in the treatment of aneurysm in MFS patients. Although the degree of efficacy varied, none of the studies could replicate the remarkable beneficial effects routinely achieved in pre-clinical models; in one trial, the rate of adverse events was higher in the losartan-treatment group than in those receiving a hemodynamically equivalent dose of anti-hypertensive medication [441,442,443,444,445,446,447,448,449,450].
These results raised the possibility that AT1R signaling might have protective effects in TAA, both directly and through the enhancement of any protective effects of TGF-β signaling [367,451]. For example, the inhibition of AT1R-dependent collagen deposition and maturation, directly or through TGF-β-dependent pathways, could recapitulate, in part the detrimental effect of lysyl oxidase inhibition with β-amino-propionitrile (BAPN), which causes dissection or rupture in a number of animal models [255,395,396,397,414,415,417,452,453]. Additionally, AT1R-dependent signaling could be beneficial through stimulation of VSMC contraction [367,454]. Although the potential for beneficial effects of AT1R signaling need to be considered, other reasons may account for different outcomes in clinical trials relative to mouse models [117,455].
In mouse trials, losartan has been tested primarily in prevention rather than treatment of aneurysm, given that in most studies, the drug is initiated early, before overt disease is apparent; this is not the case for clinical trials, given that many patients have established aneurysms when treatment is started [456]. Additionally, in mouse trials, this drug is administered continuously throughout the day in drinking water or by an osmotic pump, at doses of approximately 50-100 mg/Kg/day; this is relevant because losartan has a short half-life of approximately 2 h [456] and the human equivalent dose [457] for the one used in mice would be 4–8 mg/Kg/day, which is much higher than the 0.4 to 1.5 mg/Kg/day used in clinical trials. In view of these considerations, it is notable that a recent double-blind, placebo-controlled, randomized clinical trial testing the effect of higher doses of irbesartan, an ARB with a longer half-life than losartan, significantly reduced aortic root dilatation in MFS patients [458].
The relative low frequency of adverse aortic events (dissection, rupture, death) makes it difficult to perform clinical trials with sufficient power to assess the effect of treatment on these clinically relevant outcomes, and most trials rely on the measurement of aortic size or growth to assess efficacy. Despite the statistical limitations, the most recent metanalysis of available data showed that AT1R antagonism slows the progression of aortic root dilation and is not associated with a statistically significant difference in adverse aortic events [366,459]. Additionally, a recently published long-term follow-up of the multicenter COMPARE trial, which originally reported a small but significant reduction in aortic root dilatation [450], showed that losartan treatment in MFS patients was associated with a decreased number of adverse aortic events in the treatment group [460]. Although more studies with sufficient power to confirm this study are both needed and planned, losartan is currently considered an acceptable treatment in combination with β-adrenergic receptor blockers, or when the latter are not tolerated [117,455].

7. Regional Heterogeneity within the Aorta

Although the composition of the aorta appears grossly uniform across the length of the vessel, different segments vary in structural, mechanical, cellular, and developmental properties. This regional heterogeneity reflects distinct physiological requirements for each aortic segment and might underlie the uneven distribution of aneurysm risk observed in patients carrying TAA-causing mutations, which preferentially tend to develop disease in the proximal aorta [461].

7.1. Developmental and Phenotypic Heterogeneity

Heterogeneity along the length of the aorta has been reported in regard to the expression of gap junction proteins, MMPs, homeobox transcription factors, and embryological origin [462,463,464,465,466,467,468]. The thoracic aorta develops with contributions from progenitors derived from the cardiac neural crest (CNC) and the mesoderm [321,469,470,471]. The pharyngeal portion of the splanchnic mesoderm gives rise to second heart field (SHF)-derived VSMCs, which populate the media of the aorta from the aortic root to the branching point of the innominate artery [322,323,472,473]. CNC-derived VSMCs are present from the aortic root to the end the aortic arch, where their contribution abruptly ends to that of VSMCs derived from the paraxial mesoderm [322,323,474,475]. In areas of overlap, CNC-derived VSMCs tend to line the lumen of the vessel, whereas SHF-derived VSMCs predominate on the adventitial side [323].
Lineage-dependent differences are retained in cultured VSMCs with respect to the expression of extracellular matrix proteins and contractile proteins, modulators of angiotensin II signaling, and responsiveness to TGF-β [476,477,478,479,480,481]. Although regional differences also apply to endothelial cells, the role of embryonic origin is less clear [482,483,484,485,486]. More recently, lineage-specific differences have been observed in iPS-derived VSMCs differentiated from mesoderm and neural crest progenitors [467,487,488,489,490]. iPS-derived VSMCs of mesoderm or CNC origin differ in phenotypes associated with MFS, LDS, and other forms of hereditary aortopathy [142,325,491,492]. As discussed, these differences might explain the unintuitive increase of TGF-β signaling observed in LDS patients and mouse models, and they may contribute to increased risk of dilation in the proximal aorta [142,325]; they might also explain discrepancies among laboratories in regard to the expression of contractile markers, with different studies reporting increased, and others reporting decreased, expression in TAA, even when using in situ methods that would not be confounded by the unequal representation of non-smooth muscle cell types among samples [307,368,493,494,495,496]. Additionally, the fact that dissections of the descending thoracic aorta often initiate in the region corresponding to the aortic isthmus might relate to the sharp transition between CNC-derived and paraxial mesoderm-derived VSMCs in this location, and the intrinsic difference in expression of metalloproteases and metalloprotease inhibitors in response to inflammatory mediators in these two lineages [467].
Although we lack markers to identify different VSMC lineages in human samples, the heterogeneity of VSMC phenotypes in TAA has been highlighted by scRNA-Seq analysis of human aortic samples from controls and patients with non-syndromic forms of TAA. This study identified at least four subtypes of VSMCs, including a proliferating VSMC cluster that expresses both synthetic and contractile marker genes, which is a phenotype that does not align with the traditional binary understanding of either “contractile” or “synthetic” phenotypes [497]. Although differences in the expression of contractile genes in VSMCs were not highlighted, the authors have kindly deposited the corresponding data for the four VSMCs clusters at https://github.com/LI-Yan-Ming/Circulation.-2020-142-1374-1388. Their analysis shows that the upregulation or downregulation of several of these markers is cluster-specific, with some clusters showing increased and others showing decreased expression of ACTA2 (coding for αSMA) and TAGLN (coding for SM22 α) between control and TAA samples [497].

7.2. Mechanical and Structural Heterogeneity

Regional differences along the length of the aorta have been observed in regard to ECM composition, mechanical properties, and mechanical stresses [71,384,498]. For example, increased elastin content in the thoracic aorta relative to the abdominal aorta is necessary to support an increased need for the storage and release of elastic energy during systole and diastole to promote blood flow [71,384,499,500,501,502]. The distribution of circumferential and longitudinal mechanical stresses is also not uniform across the vessel; in particular, the proximal aorta is subjected to increased longitudinal strain because with each heartbeat, this region is both distended by blood exiting the heart and stretched across its length by the contraction of the left ventricle [503]. Studies of mouse models of TAA associated with fibrillin-1 and fibulin-4 deficiency show that aneurysmal dilatation associates with localized reduction in the ability to store elastic energy and an increased circumferential stiffness [384,387]. However, these parameters vary longitudinally and around the circumference of the vessel (inner vs. outer curvature) [504].
Additional variation exists transmurally across the thickness of the vessel. Elastin fibers tend to organize circumferentially in the middle portion of the media while assuming a more longitudinal distribution in regions closer to the adventitia; they also manifest a “waviness gradient”, with inner layers of elastic lamellae being “wavier” than outer layers, which is a feature necessary to compensate for the extra circumferential stretch born by the inner surface of the vessel [505,506]. The transmural distribution of proteoglycan is also not homogenous, with the concentrations being the highest toward the intimal and medial layer; this distribution has been proposed to regulate residual stresses in the arterial wall [43]. Moreover, the convection of soluble agents across the aortic wall is the result of hydraulic conductance that proceeds from the lumen toward the adventitia, with localized variations in concentrations that can be affected by a number of factors including blood pressure, wall permeability, and binding to local wall components (reviewed in reference [507]).
The interaction between mechanical heterogeneity combined with intrinsic differences in VSMCs (and perhaps adjacent endothelial cells) of a given lineage might contribute to rendering specific regions of the vessel, such as the proximal aorta, more susceptible to disease even when mutant gene products are expressed uniformly along the vessel. For example, SHF-derived VSMCs, which reside closest to the aortic root and are subject to the greatest longitudinal strain from the heartbeat, might rely more heavily on the activity of regulatory pathways that physiologically suppress the expression of mechanosensitive receptors such as AT1R (i.e., TGF-β signaling [411]). These regional differences need to be considered in the analysis of the molecular and cellular consequences of a given genetic variant, in the identification of therapeutic targets, and in development of targeted pharmacological therapies [488].

8. Summary and Conclusions

Integrity of the aorta is maintained by a complex and dynamic network of mechanical and biochemical signals. Genetic variants that cause hereditary aneurysm disorders affect the ability of VSMCs to receive and interpret these signals, resulting in phenotypic modulation in these cells and maladaptive remodeling of the ECM, eventually leading to mechanical failure of the vessel wall. Delineation of the molecular functions affected by TAA-associated mutations has identified molecular deficiencies that initiate the pathogenic process. These include defects in components of the elastin-contractile unit and positive effectors of canonical TGF-β signaling. The mechanisms by which these primary deficiencies interact with other pathways regulating VSMC homeostasis to produce both adaptive and maladaptive outcomes is the subject of current investigation. Although current therapeutic strategies focus on reducing mechanical stress, the identification of adverse signaling events that participate in maladaptive responses to the primary genetic insult may offer new therapeutic opportunities. Current experimental evidence suggests that compensatory signaling responses, such as those downstream of AT1R and TGF-β receptors, can have both adaptive and maladaptive consequences, depending on the cell types and phase of disease. Future areas of investigation include (a) human genetics efforts for the identification of new causative variants in genes not currently associated with TAA, which might offer fresh insights on the molecular defects that initiate aneurysm pathogenesis; (b) investigations of transcriptional and epigenetic changes at the single-cell level for each stage of disease using human samples, mouse models, and iPS-derived cell models, which may reveal the heterogenous and dynamic nature of responses to the primary genetic insult; and (c) the development of therapeutic strategies that target specific cellular subsets at specific phases of aortic remodeling and specifically promote the beneficial effects of compensatory responses while minimizing associated maladaptive consequences.

Author Contributions

Conceptualization—T.J.C., E.E.B. and E.G.M.; Writing–Original Draft Preparation—T.J.C., E.E.B. and E.G.M.; Writing—Review & Editing—T.J.C., E.E.B. and E.G.M.; Visualization—E.G.M.; Funding Acquisition—E.G.M. All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported by grants from the NIH (R01-HL147947-01); E.G.M. was also supported by the Broccoli family and the Loeys–Dietz Foundation.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Acknowledgments

We would like to thank Mary Sheppard (Department of Surgery, University of Kentucky, Lexington, KY, USA), Jay Humphrey (Department of Biomedical Engineering, Yale University, New Haven, CT, USA) and Hal Dietz (Department of Genetic Medicine, Johns Hopkins University) for helpful discussion. We also thank Yanming Li and Scott LeMaire (Division of Cardiothoracic Surgery, Baylor College of Medicine, Houston, TX) for kindly answering our inquiry relative to their recent scRNA-Seq work (Circulation, 2020;142(14):1374-1388), and depositing expression data for transcripts coding for contractile proteins in an easily accessible format (https://github.com/LI-Yan-Ming/Circulation.-2020-142-1374-1388).

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Melvinsdottir, I.H.; Lund, S.H.; Agnarsson, B.A.; Sigvaldason, K.; Gudbjartsson, T.; Geirsson, A. The incidence and mortality of acute thoracic aortic dissection: Results from a whole nation study. Eur. J. Cardiothorac. Surg. 2016, 50, 1111–1117. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  2. Hiratzka, L.F.; Bakris, G.L.; Beckman, J.A.; Bersin, R.M.; Carr, V.F.; Casey, D.E., Jr.; Eagle, K.A.; Hermann, L.K.; Isselbacher, E.M.; Kazerooni, E.A.; et al. 2010 ACCF/AHA/AATS/ACR/ASA/SCA/SCAI/SIR/STS/SVM guidelines for the diagnosis and management of patients with Thoracic Aortic Disease: A report of the American College of Cardiology Foundation/American Heart Association Task Force on Practice Guidelines, American Association for Thoracic Surgery, American College of Radiology, American Stroke Association, Society of Cardiovascular Anesthesiologists, Society for Cardiovascular Angiography and Interventions, Society of Interventional Radiology, Society of Thoracic Surgeons, and Society for Vascular Medicine. Circulation 2010, 121, e266–e369. [Google Scholar] [PubMed] [Green Version]
  3. Quintana, R.A.; Taylor, W.R. Introduction to the Compendium on Aortic Aneurysms. Circ. Res. 2019, 124, 470–471. [Google Scholar] [CrossRef] [PubMed]
  4. Wong, D.R.; Willett, W.C.; Rimm, E.B. Smoking, hypertension, alcohol consumption, and risk of abdominal aortic aneurysm in men. Am. J. Epidemiol. 2007, 165, 838–845. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  5. Pinard, A.; Jones, G.T.; Milewicz, D.M. Genetics of Thoracic and Abdominal Aortic Diseases. Circ. Res. 2019, 124, 588–606. [Google Scholar] [CrossRef]
  6. Bossone, E.; Eagle, K.A. Epidemiology and management of aortic disease: Aortic aneurysms and acute aortic syndromes. Nat. Rev. Cardiol. 2020. [Google Scholar] [CrossRef]
  7. Vapnik, J.S.; Kim, J.B.; Isselbacher, E.M.; Ghoshhajra, B.B.; Cheng, Y.; Sundt, T.M., 3rd; MacGillivray, T.E.; Cambria, R.P.; Lindsay, M.E. Characteristics and Outcomes of Ascending Versus Descending Thoracic Aortic Aneurysms. Am. J. Cardiol. 2016, 117, 1683–1690. [Google Scholar] [CrossRef]
  8. Isselbacher, E.M. Thoracic and abdominal aortic aneurysms. Circulation 2005, 111, 816–828. [Google Scholar] [CrossRef] [Green Version]
  9. Saeyeldin, A.A.; Velasquez, C.A.; Mahmood, S.U.B.; Brownstein, A.J.; Zafar, M.A.; Ziganshin, B.A.; Elefteriades, J.A. Thoracic aortic aneurysm: Unlocking the “silent killer” secrets. Gen. Thorac. Cardiovasc. Surg. 2019, 67, 1–11. [Google Scholar] [CrossRef]
  10. LeMaire, S.A.; Russell, L. Epidemiology of thoracic aortic dissection. Nat. Rev. Cardiol. 2011, 8, 103–113. [Google Scholar] [CrossRef]
  11. den Hartog, A.W.; Franken, R.; Zwinderman, A.H.; Timmermans, J.; Scholte, A.J.; van den Berg, M.P.; de Waard, V.; Pals, G.; Mulder, B.J.; Groenink, M. The risk for type B aortic dissection in Marfan syndrome. J. Am. Coll. Cardiol. 2015, 65, 246–254. [Google Scholar] [CrossRef] [PubMed]
  12. LaBounty, T.M.; Eagle, K.A. Distal aorta: The next frontier in managing Marfan syndrome aortic disease. J. Am. Coll. Cardiol. 2015, 65, 255–256. [Google Scholar] [CrossRef] [PubMed]
  13. Mulder, B.J.M.; van de Laar, I.M.B.H.; De Backer, J. Heritable Thoracic Aortic Diseases: Syndromal and Isolated (F)TAAD. In Clinical Cardiogenetics; Baars, H.F., Doevendans, P.A.F.M., Houweling, A.C., van Tintelen, J.P., Eds.; Springer International Publishing: Cham, Switzerland, 2020; pp. 309–343. [Google Scholar]
  14. Chou, E.L.; Lindsay, M.E. The genetics of aortopathies: Hereditary thoracic aortic aneurysms and dissections. Am. J. Med. Genet. C. Semin. Med. Genet. 2020, 184, 136–148. [Google Scholar] [CrossRef] [PubMed]
  15. Wagenseil, J.E.; Mecham, R.P. Vascular extracellular matrix and arterial mechanics. Physiol. Rev. 2009, 89, 957–989. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  16. Fang, Y.; Wu, D.; Birukov, K.G. Mechanosensing and Mechanoregulation of Endothelial Cell Functions. Compr. Physiol. 2019, 9, 873–904. [Google Scholar]
  17. Cheng, J.K.; Wagenseil, J.E. Extracellular matrix and the mechanics of large artery development. Biomech. Model. Mechanobiol. 2012, 11, 1169–1186. [Google Scholar] [CrossRef]
  18. Davis, E.C. Smooth muscle cell to elastic lamina connections in developing mouse aorta. Role in aortic medial organization. Lab. Investig. 1993, 68, 89–99. [Google Scholar]
  19. Davis, E.C. Immunolocalization of microfibril and microfibril-associated proteins in the subendothelial matrix of the developing mouse aorta. J. Cell Sci. 1994, 107 Pt 3, 727–736. [Google Scholar]
  20. Barallobre-Barreiro, J.; Loeys, B.; Mayr, M.; Rienks, M.; Verstraeten, A.; Kovacic, J.C. Extracellular Matrix in Vascular Disease, Part 2/4: JACC Focus Seminar. J. Am. Coll. Cardiol. 2020, 75, 2189–2203. [Google Scholar] [CrossRef]
  21. Moiseeva, E.P. Adhesion receptors of vascular smooth muscle cells and their functions. Cardiovasc. Res. 2001, 52, 372–386. [Google Scholar] [CrossRef]
  22. Pohl, U. Connexins: Key Players in the Control of Vascular Plasticity and Function. Physiol. Rev. 2020, 100, 525–572. [Google Scholar] [CrossRef] [PubMed]
  23. Wagenseil, J.E.; Mecham, R.P. New insights into elastic fiber assembly. Birth Defects Res. C. Embryo. Today 2007, 81, 229–240. [Google Scholar] [CrossRef] [PubMed]
  24. Sainz, J.; Al Haj Zen, A.; Caligiuri, G.; Demerens, C.; Urbain, D.; Lemitre, M.; Lafont, A. Isolation of “side population” progenitor cells from healthy arteries of adult mice. Arterioscler. Thromb. Vasc. Biol. 2006, 26, 281–286. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  25. Passman, J.N.; Dong, X.R.; Wu, S.P.; Maguire, C.T.; Hogan, K.A.; Bautch, V.L.; Majesky, M.W. A sonic hedgehog signaling domain in the arterial adventitia supports resident Sca1+ smooth muscle progenitor cells. Proc. Natl. Acad. Sci. USA 2008, 105, 9349–9354. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  26. Stenmark, K.R.; Yeager, M.E.; El Kasmi, K.C.; Nozik-Grayck, E.; Gerasimovskaya, E.V.; Li, M.; Riddle, S.R.; Frid, M.G. The adventitia: Essential regulator of vascular wall structure and function. Annu. Rev. Physiol. 2013, 75, 23–47. [Google Scholar] [CrossRef] [Green Version]
  27. Majesky, M.W. Adventitia and perivascular cells. Arterioscler. Thromb. Vasc. Biol. 2015, 35, e31–e35. [Google Scholar] [CrossRef] [Green Version]
  28. Humphrey, J.D.; Schwartz, M.A.; Tellides, G.; Milewicz, D.M. Role of mechanotransduction in vascular biology: Focus on thoracic aortic aneurysms and dissections. Circ. Res. 2015, 116, 1448–1461. [Google Scholar] [CrossRef] [Green Version]
  29. Forte, A.; Della Corte, A.; De Feo, M.; Cerasuolo, F.; Cipollaro, M. Role of myofibroblasts in vascular remodelling: Focus on restenosis and aneurysm. Cardiovasc. Res. 2010, 88, 395–405. [Google Scholar] [CrossRef] [Green Version]
  30. Ritman, E.L.; Lerman, A. The dynamic vasa vasorum. Cardiovasc. Res. 2007, 75, 649–658. [Google Scholar] [CrossRef]
  31. Shen, Y.H.; LeMaire, S.A. Molecular pathogenesis of genetic and sporadic aortic aneurysms and dissections. Curr. Probl. Surg. 2017, 54, 95–155. [Google Scholar] [CrossRef]
  32. Sherifova, S.; Holzapfel, G.A. Biomechanics of aortic wall failure with a focus on dissection and aneurysm: A review. Acta Biomater. 2019, 99, 1–17. [Google Scholar] [CrossRef] [PubMed]
  33. Malashicheva, A.; Kostina, D.; Kostina, A.; Irtyuga, O.; Voronkina, I.; Smagina, L.; Ignatieva, E.; Gavriliuk, N.; Uspensky, V.; Moiseeva, O.; et al. Phenotypic and Functional Changes of Endothelial and Smooth Muscle Cells in Thoracic Aortic Aneurysms. Int. J. Vasc. Med. 2016, 2016, 3107879. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  34. Billaud, M.; Hill, J.C.; Richards, T.D.; Gleason, T.G.; Phillippi, J.A. Medial Hypoxia and Adventitial Vasa Vasorum Remodeling in Human Ascending Aortic Aneurysm. Front. Cardiovasc. Med. 2018, 5, 124. [Google Scholar] [CrossRef] [PubMed]
  35. Shen, Y.H.; LeMaire, S.A.; Webb, N.R.; Cassis, L.A.; Daugherty, A.; Lu, H.S. Aortic Aneurysms and Dissections Series. Arterioscler. Thromb. Vasc. Biol. 2020, 40, e37–e46. [Google Scholar] [CrossRef]
  36. Cattell, M.A.; Hasleton, P.S.; Anderson, J.C. Glycosaminoglycan content is increased in dissecting aneurysms of human thoracic aorta. Clin. Chim. Acta 1994, 226, 29–46. [Google Scholar] [CrossRef]
  37. Engle, J.; Safi, H.J.; Abbassi, O.; Iliopoulos, D.C.; Dorsay, D.; Cartwright, J., Jr.; Weilbaecher, D. Mucopolysaccharidosis presenting as pediatric multiple aortic aneurysm: First reported case. J. Vasc. Surg. 1997, 26, 704–710. [Google Scholar] [CrossRef] [Green Version]
  38. Wang, X.; LeMaire, S.A.; Chen, L.; Shen, Y.H.; Gan, Y.; Bartsch, H.; Carter, S.A.; Utama, B.; Ou, H.; Coselli, J.S.; et al. Increased collagen deposition and elevated expression of connective tissue growth factor in human thoracic aortic dissection. Circulation 2006, 114, I200–I205. [Google Scholar] [CrossRef] [Green Version]
  39. Halushka, M.K.; Angelini, A.; Bartoloni, G.; Basso, C.; Batoroeva, L.; Bruneval, P.; Buja, L.M.; Butany, J.; d’Amati, G.; Fallon, J.T.; et al. Consensus statement on surgical pathology of the aorta from the Society for Cardiovascular Pathology and the Association For European Cardiovascular Pathology: II. Noninflammatory degenerative diseases—Nomenclature and diagnostic criteria. Cardiovasc. Pathol. 2016, 25, 247–257. [Google Scholar] [CrossRef]
  40. Cikach, F.S.; Koch, C.D.; Mead, T.J.; Galatioto, J.; Willard, B.B.; Emerton, K.B.; Eagleton, M.J.; Blackstone, E.H.; Ramirez, F.; Roselli, E.E.; et al. Massive aggrecan and versican accumulation in thoracic aortic aneurysm and dissection. JCI Insight 2018, 3, e97167. [Google Scholar] [CrossRef] [Green Version]
  41. Michel, J.B.; Jondeau, G.; Milewicz, D.M. From genetics to response to injury: Vascular smooth muscle cells in aneurysms and dissections of the ascending aorta. Cardiovasc. Res. 2018, 114, 578–589. [Google Scholar] [CrossRef]
  42. Roccabianca, S.; Bellini, C.; Humphrey, J.D. Computational modelling suggests good, bad and ugly roles of glycosaminoglycans in arterial wall mechanics and mechanobiology. J. R Soc. Interface 2014, 11, 20140397. [Google Scholar] [CrossRef] [PubMed]
  43. Azeloglu, E.U.; Albro, M.B.; Thimmappa, V.A.; Ateshian, G.A.; Costa, K.D. Heterogeneous transmural proteoglycan distribution provides a mechanism for regulating residual stresses in the aorta. Am. J. Physiol. Heart Circ. Physiol. 2008, 294, H1197–H1205. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  44. Roccabianca, S.; Ateshian, G.A.; Humphrey, J.D. Biomechanical roles of medial pooling of glycosaminoglycans in thoracic aortic dissection. Biomech. Model. Mechanobiol. 2014, 13, 13–25. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  45. Yin, X.; Wanga, S.; Fellows, A.L.; Barallobre-Barreiro, J.; Lu, R.; Davaapil, H.; Franken, R.; Fava, M.; Baig, F.; Skroblin, P.; et al. Glycoproteomic Analysis of the Aortic Extracellular Matrix in Marfan Patients. Arterioscler. Thromb. Vasc. Biol. 2019, 39, 1859–1873. [Google Scholar] [CrossRef] [PubMed]
  46. Humphrey, J.D. Possible mechanical roles of glycosaminoglycans in thoracic aortic dissection and associations with dysregulated transforming growth factor-β. J. Vasc. Res. 2013, 50, 1–10. [Google Scholar] [CrossRef] [Green Version]
  47. van de Pol, V.; Kurakula, K.; DeRuiter, M.C.; Goumans, M.J. Thoracic Aortic Aneurysm Development in Patients with Bicuspid Aortic Valve: What Is the Role of Endothelial Cells? Front. Physiol. 2017, 8, 938. [Google Scholar] [CrossRef] [Green Version]
  48. Tinajero, M.G.; Gotlieb, A.I. Recent Developments in Vascular Adventitial Pathobiology: The Dynamic Adventitia as a Complex Regulator of Vascular Disease. Am. J. Pathol. 2020, 190, 520–534. [Google Scholar] [CrossRef] [Green Version]
  49. Owens, G.K.; Kumar, M.S.; Wamhoff, B.R. Molecular regulation of vascular smooth muscle cell differentiation in development and disease. Physiol. Rev. 2004, 84, 767–801. [Google Scholar] [CrossRef]
  50. Li, C.; Xu, Q. Mechanical stress-initiated signal transduction in vascular smooth muscle cells in vitro and in vivo. Cell Signal. 2007, 19, 881–891. [Google Scholar] [CrossRef]
  51. Mack, C.P. Signaling mechanisms that regulate smooth muscle cell differentiation. Arterioscler. Thromb. Vasc. Biol. 2011, 31, 1495–1505. [Google Scholar] [CrossRef] [Green Version]
  52. Zhang, M.J.; Zhou, Y.; Chen, L.; Wang, Y.Q.; Wang, X.; Pi, Y.; Gao, C.Y.; Li, J.C.; Zhang, L.L. An overview of potential molecular mechanisms involved in VSMC phenotypic modulation. Histochem. Cell Biol. 2016, 145, 119–130. [Google Scholar] [CrossRef] [PubMed]
  53. Isselbacher, E.M.; Lino Cardenas, C.L.; Lindsay, M.E. Hereditary Influence in Thoracic Aortic Aneurysm and Dissection. Circulation 2016, 133, 2516–2528. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  54. Frismantiene, A.; Philippova, M.; Erne, P.; Resink, T.J. Smooth muscle cell-driven vascular diseases and molecular mechanisms of VSMC plasticity. Cell Signal. 2018, 52, 48–64. [Google Scholar] [CrossRef] [PubMed]
  55. Segura, A.M.; Luna, R.E.; Horiba, K.; Stetler-Stevenson, W.G.; McAllister, H.A., Jr.; Willerson, J.T.; Ferrans, V.J. Immunohistochemistry of matrix metalloproteinases and their inhibitors in thoracic aortic aneurysms and aortic valves of patients with Marfan’s syndrome. Circulation 1998, 98, II331–II337. [Google Scholar]
  56. Lesauskaite, V.; Tanganelli, P.; Sassi, C.; Neri, E.; Diciolla, F.; Ivanoviene, L.; Epistolato, M.C.; Lalinga, A.V.; Alessandrini, C.; Spina, D. Smooth muscle cells of the media in the dilatative pathology of ascending thoracic aorta: Morphology, immunoreactivity for osteopontin, matrix metalloproteinases, and their inhibitors. Hum. Pathol. 2001, 32, 1003–1011. [Google Scholar] [CrossRef]
  57. Goodall, S.; Porter, K.E.; Bell, P.R.; Thompson, M.M. Enhanced invasive properties exhibited by smooth muscle cells are associated with elevated production of MMP-2 in patients with aortic aneurysms. Eur. J. Vasc. Endovasc. Surg. 2002, 24, 72–80. [Google Scholar] [CrossRef] [Green Version]
  58. Longo, G.M.; Xiong, W.; Greiner, T.C.; Zhao, Y.; Fiotti, N.; Baxter, B.T. Matrix metalloproteinases 2 and 9 work in concert to produce aortic aneurysms. J. Clin. Investig. 2002, 110, 625–632. [Google Scholar] [CrossRef]
  59. LeMaire, S.A.; Wang, X.; Wilks, J.A.; Carter, S.A.; Wen, S.; Won, T.; Leonardelli, D.; Anand, G.; Conklin, L.D.; Wang, X.L.; et al. Matrix metalloproteinases in ascending aortic aneurysms: Bicuspid versus trileaflet aortic valves. J. Surg. Res. 2005, 123, 40–48. [Google Scholar] [CrossRef]
  60. Jones, J.A.; Barbour, J.R.; Lowry, A.S.; Bouges, S.; Beck, C.; McClister, D.M., Jr.; Mukherjee, R.; Ikonomidis, J.S. Spatiotemporal expression and localization of matrix metalloproteinas-9 in a murine model of thoracic aortic aneurysm. J. Vasc. Surg. 2006, 44, 1314–1321. [Google Scholar] [CrossRef] [Green Version]
  61. Barbour, J.R.; Spinale, F.G.; Ikonomidis, J.S. Proteinase systems and thoracic aortic aneurysm progression. J. Surg. Res. 2007, 139, 292–307. [Google Scholar] [CrossRef]
  62. Pannu, H.; Tran-Fadulu, V.; Papke, C.L.; Scherer, S.; Liu, Y.; Presley, C.; Guo, D.; Estrera, A.L.; Safi, H.J.; Brasier, A.R.; et al. MYH11 mutations result in a distinct vascular pathology driven by insulin-like growth factor 1 and angiotensin II. Hum. Mol. Genet. 2007, 16, 2453–2462. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  63. Meng, Y.H.; Tian, C.; Liu, L.; Wang, L.; Chang, Q. Elevated expression of connective tissue growth factor, osteopontin and increased collagen content in human ascending thoracic aortic aneurysms. Vascular 2014, 22, 20–27. [Google Scholar] [CrossRef] [PubMed]
  64. Meng, W.; Liu, S.; Li, D.; Liu, Z.; Yang, H.; Sun, B.; Liu, H. Expression of platelet-derived growth factor B is upregulated in patients with thoracic aortic dissection. J. Vasc. Surg. 2018, 68, 3S–13S. [Google Scholar] [CrossRef]
  65. Gomez, D.; Al Haj Zen, A.; Borges, L.F.; Philippe, M.; Gutierrez, P.S.; Jondeau, G.; Michel, J.B.; Vranckx, R. Syndromic and non-syndromic aneurysms of the human ascending aorta share activation of the Smad2 pathway. J. Pathol. 2009, 218, 131–142. [Google Scholar] [CrossRef] [PubMed]
  66. He, R.; Guo, D.C.; Sun, W.; Papke, C.L.; Duraisamy, S.; Estrera, A.L.; Safi, H.J.; Ahn, C.; Buja, L.M.; Arnett, F.C.; et al. Characterization of the inflammatory cells in ascending thoracic aortic aneurysms in patients with Marfan syndrome, familial thoracic aortic aneurysms, and sporadic aneurysms. J. Thorac. Cardiovasc. Surg. 2008, 136, 922–929. [Google Scholar] [CrossRef] [Green Version]
  67. van der Pluijm, I.; Burger, J.; van Heijningen, P.M.; A, I.J.; van Vliet, N.; Milanese, C.; Schoonderwoerd, K.; Sluiter, W.; Ringuette, L.J.; Dekkers, D.H.W.; et al. Decreased mitochondrial respiration in aneurysmal aortas of Fibulin-4 mutant mice is linked to PGC1A regulation. Cardiovasc. Res. 2018, 114, 1776–1793. [Google Scholar] [CrossRef] [Green Version]
  68. Parker, S.J.; Stotland, A.; MacFarlane, E.; Wilson, N.; Orosco, A.; Venkatraman, V.; Madrid, K.; Gottlieb, R.; Dietz, H.C.; Van Eyk, J.E. Proteomics reveals Rictor as a noncanonical TGF-β signaling target during aneurysm progression in Marfan mice. Am. J. Physiol. Heart Circ. Physiol. 2018, 315, H1112–H1126. [Google Scholar] [CrossRef]
  69. Dinesh, N.E.H.; Reinhardt, D.P. Inflammation in thoracic aortic aneurysms. Herz 2019, 44, 138–146. [Google Scholar] [CrossRef]
  70. Gutierrez, P.S.; Piubelli, M.L.M.; Naal, K.G.; Dias, R.R.; Borges, L.F. Mitochondria in aneurysms and dissections of the human ascending aorta. Cardiovasc. Pathol. 2020, 47, 107207. [Google Scholar] [CrossRef]
  71. Humphrey, J.D.; Tellides, G. Central artery stiffness and thoracic aortopathy. Am. J. Physiol. Heart Circ. Physiol. 2019, 316, H169–H182. [Google Scholar] [CrossRef]
  72. Ngai, D.; Lino, M.; Bendeck, M.P. Cell-Matrix Interactions and Matricrine Signaling in the Pathogenesis of Vascular Calcification. Front. Cardiovasc. Med. 2018, 5, 174. [Google Scholar] [CrossRef] [PubMed]
  73. Clyman, R.I.; McDonald, K.A.; Kramer, R.H. Integrin receptors on aortic smooth muscle cells mediate adhesion to fibronectin, laminin, and collagen. Circ. Res. 1990, 67, 175–186. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  74. Schwartz, M.A. Integrins and extracellular matrix in mechanotransduction. Cold Spring Harb. Perspect. Biol. 2010, 2, a005066. [Google Scholar] [CrossRef] [PubMed]
  75. Ross, T.D.; Coon, B.G.; Yun, S.; Baeyens, N.; Tanaka, K.; Ouyang, M.; Schwartz, M.A. Integrins in mechanotransduction. Curr. Opin. Cell Biol. 2013, 25, 613–618. [Google Scholar] [CrossRef] [Green Version]
  76. Zeidan, A.; Nordstrom, I.; Albinsson, S.; Malmqvist, U.; Sward, K.; Hellstrand, P. Stretch-induced contractile differentiation of vascular smooth muscle: Sensitivity to actin polymerization inhibitors. Am. J. Physiol. Cell Physiol. 2003, 284, C1387–C1396. [Google Scholar] [CrossRef] [Green Version]
  77. Albinsson, S.; Nordstrom, I.; Hellstrand, P. Stretch of the vascular wall induces smooth muscle differentiation by promoting actin polymerization. J. Biol. Chem. 2004, 279, 34849–34855. [Google Scholar] [CrossRef] [Green Version]
  78. Parsons, J.T.; Horwitz, A.R.; Schwartz, M.A. Cell adhesion: Integrating cytoskeletal dynamics and cellular tension. Nat. Rev. Mol. Cell Biol. 2010, 11, 633–643. [Google Scholar] [CrossRef]
  79. Hoffman, B.D.; Grashoff, C.; Schwartz, M.A. Dynamic molecular processes mediate cellular mechanotransduction. Nature 2011, 475, 316–323. [Google Scholar] [CrossRef]
  80. Bax, D.V.; Bernard, S.E.; Lomas, A.; Morgan, A.; Humphries, J.; Shuttleworth, C.A.; Humphries, M.J.; Kielty, C.M. Cell adhesion to fibrillin-1 molecules and microfibrils is mediated by α 5 β 1 and α v β 3 integrins. J. Biol. Chem. 2003, 278, 34605–34616. [Google Scholar] [CrossRef] [Green Version]
  81. Bezie, Y.; Lacolley, P.; Laurent, S.; Gabella, G. Connection of smooth muscle cells to elastic lamellae in aorta of spontaneously hypertensive rats. Hypertension 1998, 32, 166–169. [Google Scholar] [CrossRef] [Green Version]
  82. Karimi, A.; Milewicz, D.M. Structure of the Elastin-Contractile Units in the Thoracic Aorta and How Genes That Cause Thoracic Aortic Aneurysms and Dissections Disrupt This Structure. Can. J. Cardiol. 2016, 32, 26–34. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  83. Brooke, B.S.; Bayes-Genis, A.; Li, D.Y. New insights into elastin and vascular disease. Trends. Cardiovasc. Med. 2003, 13, 176–181. [Google Scholar] [CrossRef]
  84. Karnik, S.K.; Brooke, B.S.; Bayes-Genis, A.; Sorensen, L.; Wythe, J.D.; Schwartz, R.S.; Keating, M.T.; Li, D.Y. A critical role for elastin signaling in vascular morphogenesis and disease. Development 2003, 130, 411–423. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  85. Duque Lasio, M.L.; Kozel, B.A. Elastin-driven genetic diseases. Matrix Biol. 2018, 71-72, 144–160. [Google Scholar] [CrossRef] [PubMed]
  86. Petsophonsakul, P.; Furmanik, M.; Forsythe, R.; Dweck, M.; Schurink, G.W.; Natour, E.; Reutelingsperger, C.; Jacobs, M.; Mees, B.; Schurgers, L. Role of Vascular Smooth Muscle Cell Phenotypic Switching and Calcification in Aortic Aneurysm Formation. Arterioscler. Thromb. Vasc. Biol. 2019, 39, 1351–1368. [Google Scholar] [CrossRef] [PubMed]
  87. Milewicz, D.M.; Trybus, K.M.; Guo, D.C.; Sweeney, H.L.; Regalado, E.; Kamm, K.; Stull, J.T. Altered Smooth Muscle Cell Force Generation as a Driver of Thoracic Aortic Aneurysms and Dissections. Arterioscler. Thromb. Vasc. Biol. 2017, 37, 26–34. [Google Scholar] [CrossRef] [Green Version]
  88. Somlyo, A.P.; Somlyo, A.V. Ca2+ sensitivity of smooth muscle and nonmuscle myosin II: Modulated by G proteins, kinases, and myosin phosphatase. Physiol. Rev. 2003, 83, 1325–1358. [Google Scholar] [CrossRef] [Green Version]
  89. Gunst, S.J.; Zhang, W. Actin cytoskeletal dynamics in smooth muscle: A new paradigm for the regulation of smooth muscle contraction. Am. J. Physiol. Cell Physiol. 2008, 295, C576–C587. [Google Scholar] [CrossRef] [Green Version]
  90. Hill-Eubanks, D.C.; Werner, M.E.; Heppner, T.J.; Nelson, M.T. Calcium signaling in smooth muscle. Cold Spring Harb. Perspect. Biol. 2011, 3, a004549. [Google Scholar] [CrossRef]
  91. Burridge, K.; Guilluy, C. Focal adhesions, stress fibers and mechanical tension. Exp. Cell Res. 2016, 343, 14–20. [Google Scholar] [CrossRef] [Green Version]
  92. Fultz, M.E.; Li, C.; Geng, W.; Wright, G.L. Remodeling of the actin cytoskeleton in the contracting A7r5 smooth muscle cell. J. Muscle Res. Cell Motil. 2000, 21, 775–787. [Google Scholar] [CrossRef] [PubMed]
  93. Cohen, D.M.; Kutscher, B.; Chen, H.; Murphy, D.B.; Craig, S.W. A conformational switch in vinculin drives formation and dynamics of a talin-vinculin complex at focal adhesions. J. Biol. Chem. 2006, 281, 16006–16015. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  94. del Rio, A.; Perez-Jimenez, R.; Liu, R.; Roca-Cusachs, P.; Fernandez, J.M.; Sheetz, M.P. Stretching single talin rod molecules activates vinculin binding. Science 2009, 323, 638–641. [Google Scholar] [CrossRef]
  95. Friedland, J.C.; Lee, M.H.; Boettiger, D. Mechanically activated integrin switch controls alpha5beta1 function. Science 2009, 323, 642–644. [Google Scholar] [CrossRef] [PubMed]
  96. Pasapera, A.M.; Schneider, I.C.; Rericha, E.; Schlaepfer, D.D.; Waterman, C.M. Myosin II activity regulates vinculin recruitment to focal adhesions through FAK-mediated paxillin phosphorylation. J. Cell Biol. 2010, 188, 877–890. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  97. Hinz, B.; Dugina, V.; Ballestrem, C.; Wehrle-Haller, B.; Chaponnier, C. α-smooth muscle actin is crucial for focal adhesion maturation in myofibroblasts. Mol. Biol. Cell 2003, 14, 2508–2519. [Google Scholar] [CrossRef] [Green Version]
  98. Tomasek, J.J.; Gabbiani, G.; Hinz, B.; Chaponnier, C.; Brown, R.A. Myofibroblasts and mechano-regulation of connective tissue remodelling. Nat. Rev. Mol. Cell Biol. 2002, 3, 349–363. [Google Scholar] [CrossRef]
  99. Tamada, M.; Sheetz, M.P.; Sawada, Y. Activation of a signaling cascade by cytoskeleton stretch. Dev. Cell 2004, 7, 709–718. [Google Scholar] [CrossRef] [Green Version]
  100. Sawada, Y.; Tamada, M.; Dubin-Thaler, B.J.; Cherniavskaya, O.; Sakai, R.; Tanaka, S.; Sheetz, M.P. Force sensing by mechanical extension of the Src family kinase substrate p130Cas. Cell 2006, 127, 1015–1026. [Google Scholar] [CrossRef] [Green Version]
  101. Ruberti, J.W.; Hallab, N.J. Strain-controlled enzymatic cleavage of collagen in loaded matrix. Biochem. Biophys. Res. Commun. 2005, 336, 483–489. [Google Scholar] [CrossRef]
  102. Storch, U.; Mederos y Schnitzler, M.; Gudermann, T. G protein-mediated stretch reception. Am. J. Physiol. Heart Circ. Physiol. 2012, 302, H1241–H1249. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  103. Huelsz-Prince, G.; Belkin, A.M.; VanBavel, E.; Bakker, E.N. Activation of extracellular transglutaminase 2 by mechanical force in the arterial wall. J. Vasc. Res. 2013, 50, 383–395. [Google Scholar] [CrossRef] [PubMed]
  104. Wang, Y.; Gilmore, T.D. Zyxin and paxillin proteins: Focal adhesion plaque LIM domain proteins go nuclear. Biochim. Biophys. Acta 2003, 1593, 115–120. [Google Scholar] [CrossRef] [Green Version]
  105. Lim, S.T.; Chen, X.L.; Lim, Y.; Hanson, D.A.; Vo, T.T.; Howerton, K.; Larocque, N.; Fisher, S.J.; Schlaepfer, D.D.; Ilic, D. Nuclear FAK promotes cell proliferation and survival through FERM-enhanced p53 degradation. Mol. Cell 2008, 29, 9–22. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  106. Jeong, K.; Kim, J.H.; Murphy, J.M.; Park, H.; Kim, S.J.; Rodriguez, Y.A.R.; Kong, H.; Choi, C.; Guan, J.L.; Taylor, J.M.; et al. Nuclear Focal Adhesion Kinase Controls Vascular Smooth Muscle Cell Proliferation and Neointimal Hyperplasia Through GATA4-Mediated Cyclin D1 Transcription. Circ. Res. 2019, 125, 152–166. [Google Scholar] [CrossRef] [PubMed]
  107. Elosegui-Artola, A.; Andreu, I.; Beedle, A.E.M.; Lezamiz, A.; Uroz, M.; Kosmalska, A.J.; Oria, R.; Kechagia, J.Z.; Rico-Lastres, P.; Le Roux, A.L.; et al. Force Triggers YAP Nuclear Entry by Regulating Transport across Nuclear Pores. Cell 2017, 171, 1397–1410. [Google Scholar] [CrossRef]
  108. Lu, S.; Weiser-Evans, M.C.M. Nuclear Focal Adhesion Kinase. Circ. Res. 2019, 125, 167–169. [Google Scholar] [CrossRef]
  109. Moujaber, O.; Stochaj, U. The Cytoskeleton as Regulator of Cell Signaling Pathways. Trends Biochem. Sci. 2020, 45, 96–107. [Google Scholar] [CrossRef]
  110. Kardassis, D.; Murphy, C.; Fotsis, T.; Moustakas, A.; Stournaras, C. Control of transforming growth factor β signal transduction by small GTPases. FEBS J. 2009, 276, 2947–2965. [Google Scholar] [CrossRef]
  111. Wang, N.; Tytell, J.D.; Ingber, D.E. Mechanotransduction at a distance: Mechanically coupling the extracellular matrix with the nucleus. Nat. Rev. Mol. Cell Biol. 2009, 10, 75–82. [Google Scholar] [CrossRef]
  112. Tapley, E.C.; Starr, D.A. Connecting the nucleus to the cytoskeleton by SUN-KASH bridges across the nuclear envelope. Curr. Opin. Cell Biol. 2013, 25, 57–62. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  113. Kirby, T.J.; Lammerding, J. Emerging views of the nucleus as a cellular mechanosensor. Nat. Cell Biol. 2018, 20, 373–381. [Google Scholar] [CrossRef] [PubMed]
  114. Hynes, R.O. The extracellular matrix: Not just pretty fibrils. Science 2009, 326, 1216–1219. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  115. Zhu, J.; Clark, R.A.F. Fibronectin at select sites binds multiple growth factors and enhances their activity: Expansion of the collaborative ECM-GF paradigm. J. Invest. Dermatol. 2014, 134, 895–901. [Google Scholar] [CrossRef] [Green Version]
  116. Fouillade, C.; Monet-Lepretre, M.; Baron-Menguy, C.; Joutel, A. Notch signalling in smooth muscle cells during development and disease. Cardiovasc. Res. 2012, 95, 138–146. [Google Scholar] [CrossRef] [Green Version]
  117. van Dorst, D.C.H.; de Wagenaar, N.P.; van der Pluijm, I.; Roos-Hesselink, J.W.; Essers, J.; Danser, A.H.J. Transforming Growth Factor-β and the Renin-Angiotensin System in Syndromic Thoracic Aortic Aneurysms: Implications for Treatment. Cardiovasc. Drugs Ther. 2020. [Google Scholar] [CrossRef]
  118. Forrester, S.J.; Booz, G.W.; Sigmund, C.D.; Coffman, T.M.; Kawai, T.; Rizzo, V.; Scalia, R.; Eguchi, S. Angiotensin II Signal Transduction: An Update on Mechanisms of Physiology and Pathophysiology. Physiol. Rev. 2018, 98, 1627–1738. [Google Scholar] [CrossRef]
  119. Mehta, P.K.; Griendling, K.K. Angiotensin II cell signaling: Physiological and pathological effects in the cardiovascular system. Am. J. Physiol. Cell Physiol. 2007, 292, C82–C97. [Google Scholar] [CrossRef]
  120. Wu, C.H.; Mohammadmoradi, S.; Chen, J.Z.; Sawada, H.; Daugherty, A.; Lu, H.S. Renin-Angiotensin System and Cardiovascular Functions. Arterioscler. Thromb. Vasc. Biol. 2018, 38, e108–e116. [Google Scholar] [CrossRef] [Green Version]
  121. Yan, C.; Kim, D.; Aizawa, T.; Berk, B.C. Functional interplay between angiotensin II and nitric oxide: Cyclic GMP as a key mediator. Arterioscler. Thromb. Vasc. Biol. 2003, 23, 26–36. [Google Scholar] [CrossRef] [Green Version]
  122. Geisterfer, A.A.; Peach, M.J.; Owens, G.K. Angiotensin II induces hypertrophy, not hyperplasia, of cultured rat aortic smooth muscle cells. Circ. Res. 1988, 62, 749–756. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  123. Xi, X.P.; Graf, K.; Goetze, S.; Fleck, E.; Hsueh, W.A.; Law, R.E. Central role of the MAPK pathway in ang II-mediated DNA synthesis and migration in rat vascular smooth muscle cells. Arterioscler. Thromb. Vasc. Biol. 1999, 19, 73–82. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  124. Marchesi, C.; Paradis, P.; Schiffrin, E.L. Role of the renin-angiotensin system in vascular inflammation. Trends Pharmacol Sci 2008, 29, 367–374. [Google Scholar] [CrossRef] [PubMed]
  125. Linseman, D.A.; Benjamin, C.W.; Jones, D.A. Convergence of angiotensin II and platelet-derived growth factor receptor signaling cascades in vascular smooth muscle cells. J. Biol Chem 1995, 270, 12563–12568. [Google Scholar] [CrossRef] [Green Version]
  126. Ushio-Fukai, M.; Griendling, K.K.; Becker, P.L.; Hilenski, L.; Halleran, S.; Alexander, R.W. Epidermal growth factor receptor transactivation by angiotensin II requires reactive oxygen species in vascular smooth muscle cells. Arterioscler. Thromb. Vasc. Biol. 2001, 21, 489–495. [Google Scholar] [CrossRef] [Green Version]
  127. Matsubara, H.; Moriguchi, Y.; Mori, Y.; Masaki, H.; Tsutsumi, Y.; Shibasaki, Y.; Uchiyama-Tanaka, Y.; Fujiyama, S.; Koyama, Y.; Nose-Fujiyama, A.; et al. Transactivation of EGF receptor induced by angiotensin II regulates fibronectin and TGF-β gene expression via transcriptional and post-transcriptional mechanisms. Mol. Cell Biochem. 2000, 212, 187–201. [Google Scholar] [CrossRef]
  128. Sanchez-Guerrero, E.; Midgley, V.C.; Khachigian, L.M. Angiotensin II induction of PDGF-C expression is mediated by AT1 receptor-dependent Egr-1 transactivation. Nucleic Acids Res. 2008, 36, 1941–1951. [Google Scholar] [CrossRef]
  129. Weigert, C.; Brodbeck, K.; Klopfer, K.; Haring, H.U.; Schleicher, E.D. Angiotensin II induces human TGF-β 1 promoter activation: Similarity to hyperglycaemia. Diabetologia 2002, 45, 890–898. [Google Scholar] [CrossRef] [Green Version]
  130. Shihab, F.S.; Bennett, W.M.; Tanner, A.M.; Andoh, T.F. Angiotensin II blockade decreases TGF-beta1 and matrix proteins in cyclosporine nephropathy. Kidney Int. 1997, 52, 660–673. [Google Scholar] [CrossRef] [Green Version]
  131. Gibbons, G.H.; Pratt, R.E.; Dzau, V.J. Vascular smooth muscle cell hypertrophy vs. hyperplasia. Autocrine transforming growth factor-β 1 expression determines growth response to angiotensin II. J. Clin. Investig. 1992, 90, 456–461. [Google Scholar] [CrossRef]
  132. Li, Q.; Muragaki, Y.; Hatamura, I.; Ueno, H.; Ooshima, A. Stretch-induced collagen synthesis in cultured smooth muscle cells from rabbit aortic media and a possible involvement of angiotensin II and transforming growth factor-β. J. Vasc. Res. 1998, 35, 93–103. [Google Scholar] [CrossRef] [PubMed]
  133. Stanley, A.G.; Patel, H.; Knight, A.L.; Williams, B. Mechanical strain-induced human vascular matrix synthesis: The role of angiotensin II. J. Renin Angiotensin Aldosterone Syst. 2000, 1, 32–35. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  134. Kagami, S.; Border, W.A.; Miller, D.E.; Noble, N.A. Angiotensin II stimulates extracellular matrix protein synthesis through induction of transforming growth factor-β expression in rat glomerular mesangial cells. J. Clin. Investig. 1994, 93, 2431–2437. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  135. Yu, Q.; Stamenkovic, I. Cell surface-localized matrix metalloproteinase-9 proteolytically activates TGF-β and promotes tumor invasion and angiogenesis. Genes Dev. 2000, 14, 163–176. [Google Scholar] [PubMed]
  136. Wang, C.; Chang, Q.; Sun, X.; Qian, X.; Liu, P.; Pei, H.; Guo, X.; Liu, W. Angiotensin II Induces an Increase in Matrix Metalloproteinase 2 Expression in Aortic Smooth Muscle Cells of Ascending Thoracic Aortic Aneurysms Through JNK, ERK1/2, and p38 MAPK Activation. J. Cardiovasc. Pharmacol. 2015, 66, 285–293. [Google Scholar] [CrossRef]
  137. Rakesh, K.; Yoo, B.; Kim, I.M.; Salazar, N.; Kim, K.S.; Rockman, H.A. β-Arrestin-biased agonism of the angiotensin receptor induced by mechanical stress. Sci. Signal. 2010, 3, ra46. [Google Scholar] [CrossRef] [Green Version]
  138. Liu, G.; Hitomi, H.; Hosomi, N.; Lei, B.; Pelisch, N.; Nakano, D.; Kiyomoto, H.; Ma, H.; Nishiyama, A. Mechanical stretch potentiates angiotensin II-induced proliferation in spontaneously hypertensive rat vascular smooth muscle cells. Hypertens. Res. 2010, 33, 1250–1257. [Google Scholar] [CrossRef] [Green Version]
  139. Mederos y Schnitzler, M.; Storch, U.; Meibers, S.; Nurwakagari, P.; Breit, A.; Essin, K.; Gollasch, M.; Gudermann, T. Gq-coupled receptors as mechanosensors mediating myogenic vasoconstriction. EMBO J. 2008, 27, 3092–3103. [Google Scholar] [CrossRef]
  140. Schleifenbaum, J.; Kassmann, M.; Szijarto, I.A.; Hercule, H.C.; Tano, J.Y.; Weinert, S.; Heidenreich, M.; Pathan, A.R.; Anistan, Y.M.; Alenina, N.; et al. Stretch-activation of angiotensin II type 1a receptors contributes to the myogenic response of mouse mesenteric and renal arteries. Circ. Res. 2014, 115, 263–272. [Google Scholar] [CrossRef] [Green Version]
  141. Chen, J.; Peters, A.; Papke, C.L.; Villamizar, C.; Ringuette, L.J.; Cao, J.; Wang, S.; Ma, S.; Gong, L.; Byanova, K.L.; et al. Loss of Smooth Muscle α-Actin Leads to NF-kappaB-Dependent Increased Sensitivity to Angiotensin II in Smooth Muscle Cells and Aortic Enlargement. Circ. Res. 2017, 120, 1903–1915. [Google Scholar] [CrossRef]
  142. MacFarlane, E.G.; Parker, S.J.; Shin, J.Y.; Ziegler, S.G.; Creamer, T.J.; Bagirzadeh, R.; Bedja, D.; Chen, Y.; Calderon, J.F.; Weissler, K.; et al. Lineage-specific events underlie aortic root aneurysm pathogenesis in Loeys-Dietz syndrome. J. Clin. Investig. 2019, 129, 659–675. [Google Scholar] [CrossRef] [PubMed]
  143. Huang, J.; Yamashiro, Y.; Papke, C.L.; Ikeda, Y.; Lin, Y.; Patel, M.; Inagami, T.; Le, V.P.; Wagenseil, J.E.; Yanagisawa, H. Angiotensin-converting enzyme-induced activation of local angiotensin signaling is required for ascending aortic aneurysms in fibulin-4-deficient mice. Sci. Transl. Med. 2013, 5, 183ra158. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  144. Robertson, I.B.; Rifkin, D.B. Regulation of the Bioavailability of TGF-β and TGF-β-Related Proteins. Cold Spring Harb. Perspect. Biol. 2016, 8, a021907. [Google Scholar] [CrossRef] [PubMed]
  145. Heldin, C.H.; Moustakas, A. Signaling Receptors for TGF-β Family Members. Cold Spring Harb. Perspect. Biol. 2016, 8, a022053. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  146. Hata, A.; Chen, Y.G. TGF-β Signaling from Receptors to Smads. Cold Spring Harb. Perspect. Biol. 2016, 8, a022061. [Google Scholar] [CrossRef] [PubMed]
  147. Itoh, S.; ten Dijke, P. Negative regulation of TGF-β receptor/Smad signal transduction. Curr Opin Cell Biol 2007, 19, 176–184. [Google Scholar] [CrossRef] [PubMed]
  148. Luo, K.; Stroschein, S.L.; Wang, W.; Chen, D.; Martens, E.; Zhou, S.; Zhou, Q. The Ski oncoprotein interacts with the Smad proteins to repress TGFbeta signaling. Genes Dev. 1999, 13, 2196–2206. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  149. Akiyoshi, S.; Inoue, H.; Hanai, J.; Kusanagi, K.; Nemoto, N.; Miyazono, K.; Kawabata, M. c-Ski acts as a transcriptional co-repressor in transforming growth factor-β signaling through interaction with smads. J. Biol. Chem. 1999, 274, 35269–35277. [Google Scholar] [CrossRef] [Green Version]
  150. Schmierer, B.; Hill, C.S. TGFbeta-SMAD signal transduction: Molecular specificity and functional flexibility. Nat. Rev. Mol. Cell Biol. 2007, 8, 970–982. [Google Scholar] [CrossRef]
  151. Tecalco-Cruz, A.C.; Rios-Lopez, D.G.; Vazquez-Victorio, G.; Rosales-Alvarez, R.E.; Macias-Silva, M. Transcriptional cofactors Ski and SnoN are major regulators of the TGF-β/Smad signaling pathway in health and disease. Signal. Transduct. Target. Ther. 2018, 3, 15. [Google Scholar] [CrossRef] [Green Version]
  152. Hiepen, C.; Mendez, P.L.; Knaus, P. It Takes Two to Tango: Endothelial TGFbeta/BMP Signaling Crosstalk with Mechanobiology. Cells 2020, 9, 1965. [Google Scholar] [CrossRef] [PubMed]
  153. Rys, J.P.; DuFort, C.C.; Monteiro, D.A.; Baird, M.A.; Oses-Prieto, J.A.; Chand, S.; Burlingame, A.L.; Davidson, M.W.; Alliston, T.N. Discrete spatial organization of TGFbeta receptors couples receptor multimerization and signaling to cellular tension. Elife 2015, 4, e09300. [Google Scholar] [CrossRef] [PubMed]
  154. O’Callaghan, C.J.; Williams, B. Mechanical strain-induced extracellular matrix production by human vascular smooth muscle cells: Role of TGF-β(1). Hypertension 2000, 36, 319–324. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  155. Munger, J.S.; Sheppard, D. Cross talk among TGF-β signaling pathways, integrins, and the extracellular matrix. Cold Spring Harb. Perspect. Biol. 2011, 3, a005017. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  156. Hautmann, M.B.; Madsen, C.S.; Owens, G.K. A transforming growth factor β (TGFbeta) control element drives TGFbeta-induced stimulation of smooth muscle α-actin gene expression in concert with two CArG elements. J. Biol. Chem. 1997, 272, 10948–10956. [Google Scholar] [CrossRef] [Green Version]
  157. Adam, P.J.; Regan, C.P.; Hautmann, M.B.; Owens, G.K. Positive- and negative-acting Kruppel-like transcription factors bind a transforming growth factor β control element required for expression of the smooth muscle cell differentiation marker SM22alpha in vivo. J. Biol. Chem. 2000, 275, 37798–37806. [Google Scholar] [CrossRef] [Green Version]
  158. Hirschi, K.K.; Lai, L.; Belaguli, N.S.; Dean, D.A.; Schwartz, R.J.; Zimmer, W.E. Transforming growth factor-β induction of smooth muscle cell phenotpye requires transcriptional and post-transcriptional control of serum response factor. J. Biol. Chem. 2002, 277, 6287–6295. [Google Scholar] [CrossRef] [Green Version]
  159. Habashi, J.P.; Judge, D.P.; Holm, T.M.; Cohn, R.D.; Loeys, B.L.; Cooper, T.K.; Myers, L.; Klein, E.C.; Liu, G.; Calvi, C.; et al. Losartan, an AT1 antagonist, prevents aortic aneurysm in a mouse model of Marfan syndrome. Science 2006, 312, 117–121. [Google Scholar] [CrossRef] [Green Version]
  160. Hanada, K.; Vermeij, M.; Garinis, G.A.; de Waard, M.C.; Kunen, M.G.; Myers, L.; Maas, A.; Duncker, D.J.; Meijers, C.; Dietz, H.C.; et al. Perturbations of vascular homeostasis and aortic valve abnormalities in fibulin-4 deficient mice. Circ. Res. 2007, 100, 738–746. [Google Scholar] [CrossRef] [Green Version]
  161. Gomez, D.; Coyet, A.; Ollivier, V.; Jeunemaitre, X.; Jondeau, G.; Michel, J.B.; Vranckx, R. Epigenetic control of vascular smooth muscle cells in Marfan and non-Marfan thoracic aortic aneurysms. Cardiovasc. Res. 2011, 89, 446–456. [Google Scholar] [CrossRef] [Green Version]
  162. Fukuda, H.; Aoki, H.; Yoshida, S.; Tobinaga, S.; Otsuka, H.; Shojima, T.; Takagi, K.; Fukumoto, Y.; Akashi, H.; Kato, S.; et al. Characterization of SMAD2 Activation in Human Thoracic Aortic Aneurysm. Ann. Vasc. Dis. 2018, 11, 112–119. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  163. Low, E.L.; Baker, A.H.; Bradshaw, A.C. TGFbeta, smooth muscle cells and coronary artery disease: A review. Cell Signal. 2019, 53, 90–101. [Google Scholar] [CrossRef]
  164. Artavanis-Tsakonas, S.; Rand, M.D.; Lake, R.J. Notch signaling: Cell fate control and signal integration in development. Science 1999, 284, 770–776. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  165. Villa, N.; Walker, L.; Lindsell, C.E.; Gasson, J.; Iruela-Arispe, M.L.; Weinmaster, G. Vascular expression of Notch pathway receptors and ligands is restricted to arterial vessels. Mech. Dev. 2001, 108, 161–164. [Google Scholar] [CrossRef]
  166. Sweeney, C.; Morrow, D.; Birney, Y.A.; Coyle, S.; Hennessy, C.; Scheller, A.; Cummins, P.M.; Walls, D.; Redmond, E.M.; Cahill, P.A. Notch 1 and 3 receptor signaling modulates vascular smooth muscle cell growth, apoptosis, and migration via a CBF-1/RBP-Jk dependent pathway. FASEB J. 2004, 18, 1421–1423. [Google Scholar] [CrossRef]
  167. Liu, N.; Li, Y.; Chen, H.; Wei, W.; An, Y.; Zhu, G. RNA interference-mediated NOTCH3 knockdown induces phenotype switching of vascular smooth muscle cells in vitro. Int. J. Clin. Exp. Med. 2015, 8, 12674–12684. [Google Scholar]
  168. Baeten, J.T.; Lilly, B. Differential Regulation of NOTCH2 and NOTCH3 Contribute to Their Unique Functions in Vascular Smooth Muscle Cells. J. Biol. Chem. 2015, 290, 16226–16237. [Google Scholar] [CrossRef] [Green Version]
  169. Noseda, M.; Fu, Y.; Niessen, K.; Wong, F.; Chang, L.; McLean, G.; Karsan, A. Smooth Muscle α-actin is a direct target of Notch/CSL. Circ. Res. 2006, 98, 1468–1470. [Google Scholar] [CrossRef] [Green Version]
  170. Jin, S.; Hansson, E.M.; Tikka, S.; Lanner, F.; Sahlgren, C.; Farnebo, F.; Baumann, M.; Kalimo, H.; Lendahl, U. Notch signaling regulates platelet-derived growth factor receptor-β expression in vascular smooth muscle cells. Circ. Res. 2008, 102, 1483–1491. [Google Scholar] [CrossRef] [Green Version]
  171. Morrow, D.; Scheller, A.; Birney, Y.A.; Sweeney, C.; Guha, S.; Cummins, P.M.; Murphy, R.; Walls, D.; Redmond, E.M.; Cahill, P.A. Notch-mediated CBF-1/RBP-J{kappa}-dependent regulation of human vascular smooth muscle cell phenotype in vitro. Am. J. Physiol. Cell Physiol. 2005, 289, C1188–C1196. [Google Scholar] [CrossRef] [Green Version]
  172. Proweller, A.; Pear, W.S.; Parmacek, M.S. Notch signaling represses myocardin-induced smooth muscle cell differentiation. J. Biol. Chem. 2005, 280, 8994–9004. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  173. Doi, H.; Iso, T.; Sato, H.; Yamazaki, M.; Matsui, H.; Tanaka, T.; Manabe, I.; Arai, M.; Nagai, R.; Kurabayashi, M. Jagged1-selective notch signaling induces smooth muscle differentiation via a RBP-Jkappa-dependent pathway. J. Biol. Chem. 2006, 281, 28555–28564. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  174. Baeten, J.T.; Lilly, B. Notch Signaling in Vascular Smooth Muscle Cells. Adv. Pharmacol. 2017, 78, 351–382. [Google Scholar] [PubMed] [Green Version]
  175. Malashicheva, A.; Kostina, A.; Kostareva, A.; Irtyuga, O.; Gordeev, M.; Uspensky, V. Notch signaling in the pathogenesis of thoracic aortic aneurysms: A bridge between embryonic and adult states. Biochim Biophys Acta Mol. Basis Dis 2020, 1866, 165631. [Google Scholar] [CrossRef]
  176. Malashicheva, A.; Kostina, A.; Kostareva, A.; Irtyuga, O.; Uspensky, V. Corrigendum to “Notch signaling in the pathogenesis of thoracic aortic aneurysms: A bridge between embryonic and adult states” [Biochim. Biophys. Acta Mol. Basis Dis. 1866 (3) (Mar 1 2020) 165631]. Biochim. Biophys. Acta Mol. Basis Dis. 2020, 1866, 165732. [Google Scholar] [CrossRef]
  177. Yao, M.; Wang, X.; Wang, X.; Zhang, T.; Chi, Y.; Gao, F. The Notch pathway mediates the angiotensin II-induced synthesis of extracellular matrix components in podocytes. Int. J. Mol. Med. 2015, 36, 294–300. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  178. Blokzijl, A.; Dahlqvist, C.; Reissmann, E.; Falk, A.; Moliner, A.; Lendahl, U.; Ibanez, C.F. Cross-talk between the Notch and TGF-β signaling pathways mediated by interaction of the Notch intracellular domain with Smad3. J. Cell Biol. 2003, 163, 723–728. [Google Scholar] [CrossRef]
  179. Tang, Y.; Urs, S.; Boucher, J.; Bernaiche, T.; Venkatesh, D.; Spicer, D.B.; Vary, C.P.; Liaw, L. Notch and transforming growth factor-β (TGFbeta) signaling pathways cooperatively regulate vascular smooth muscle cell differentiation. J. Biol. Chem. 2010, 285, 17556–17563. [Google Scholar] [CrossRef] [Green Version]
  180. Zhao, N.; Koenig, S.N.; Trask, A.J.; Lin, C.H.; Hans, C.P.; Garg, V.; Lilly, B. MicroRNA miR145 regulates TGFBR2 expression and matrix synthesis in vascular smooth muscle cells. Circ. Res. 2015, 116, 23–34. [Google Scholar] [CrossRef] [Green Version]
  181. Kennard, S.; Liu, H.; Lilly, B. Transforming growth factor-β (TGF- 1) down-regulates Notch3 in fibroblasts to promote smooth muscle gene expression. J. Biol. Chem. 2008, 283, 1324–1333. [Google Scholar] [CrossRef] [Green Version]
  182. Ignatieva, E.; Kostina, D.; Irtyuga, O.; Uspensky, V.; Golovkin, A.; Gavriliuk, N.; Moiseeva, O.; Kostareva, A.; Malashicheva, A. Mechanisms of Smooth Muscle Cell Differentiation Are Distinctly Altered in Thoracic Aortic Aneurysms Associated with Bicuspid or Tricuspid Aortic Valves. Front. Physiol. 2017, 8, 536. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  183. Chiarini, A.; Onorati, F.; Marconi, M.; Pasquali, A.; Patuzzo, C.; Malashicheva, A.; Irtyega, O.; Faggian, G.; Pignatti, P.F.; Trabetti, E.; et al. Studies on sporadic non-syndromic thoracic aortic aneurysms: 1. Deregulation of Jagged/Notch 1 homeostasis and selection of synthetic/secretor phenotype smooth muscle cells. Eur. J. Prev. Cardiol. 2018, 25, 42–50. [Google Scholar] [CrossRef] [PubMed]
  184. Perik, M.H.A.M.; Verstraeten, A.; Loeys, B.L. Pathophysiology and Principles of Management of Hereditary Aneurysmal Aortopathies. In Mechanisms of Vascular Disease: A Textbook for Vascular Specialists; Fitridge, R., Ed.; Springer International Publishing: Cham, Switzerland, 2020; pp. 293–316. [Google Scholar]
  185. Ostberg, N.P.; Zafar, M.A.; Ziganshin, B.A.; Elefteriades, J.A. The Genetics of Thoracic Aortic Aneurysms and Dissection: A Clinical Perspective. Biomolecules 2020, 10, 182. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  186. Rohde, S.; Zafar, M.A.; Ziganshin, B.A.; Elefteriades, J.A. Thoracic aortic aneurysm gene dictionary. Asian Cardiovasc. Thorac. Ann. 2020, 218492320943800. [Google Scholar]
  187. Renard, M.; Francis, C.; Ghosh, R.; Scott, A.F.; Witmer, P.D.; Ades, L.C.; Andelfinger, G.U.; Arnaud, P.; Boileau, C.; Callewaert, B.L.; et al. Clinical Validity of Genes for Heritable Thoracic Aortic Aneurysm and Dissection. J. Am. Coll. Cardiol. 2018, 72, 605–615. [Google Scholar] [CrossRef]
  188. Dietz, H.C.; Cutting, G.R.; Pyeritz, R.E.; Maslen, C.L.; Sakai, L.Y.; Corson, G.M.; Puffenberger, E.G.; Hamosh, A.; Nanthakumar, E.J.; Curristin, S.M.; et al. Marfan syndrome caused by a recurrent de novo missense mutation in the fibrillin gene. Nature 1991, 352, 337–339. [Google Scholar] [CrossRef]
  189. Hucthagowder, V.; Sausgruber, N.; Kim, K.H.; Angle, B.; Marmorstein, L.Y.; Urban, Z. Fibulin-4: A novel gene for an autosomal recessive cutis laxa syndrome. Am. J. Hum. Genet. 2006, 78, 1075–1080. [Google Scholar] [CrossRef] [Green Version]
  190. Al-Hassnan, Z.N.; Almesned, A.R.; Tulbah, S.; Hakami, A.; Al-Omrani, A.; Al Sehly, A.; Mohammed, S.; Majid, S.; Meyer, B.; Al-Fayyadh, M. Recessively inherited severe aortic aneurysm caused by mutated EFEMP2. Am. J. Cardiol. 2012, 109, 1677–1680. [Google Scholar] [CrossRef]
  191. Schwarze, U.; Schievink, W.I.; Petty, E.; Jaff, M.R.; Babovic-Vuksanovic, D.; Cherry, K.J.; Pepin, M.; Byers, P.H. Haploinsufficiency for one COL3A1 allele of type III procollagen results in a phenotype similar to the vascular form of Ehlers-Danlos syndrome, Ehlers-Danlos syndrome type IV. Am. J. Hum. Genet. 2001, 69, 989–1001. [Google Scholar] [CrossRef] [Green Version]
  192. Pepin, M.; Schwarze, U.; Superti-Furga, A.; Byers, P.H. Clinical and genetic features of Ehlers-Danlos syndrome type IV, the vascular type. N. Engl. J. Med. 2000, 342, 673–680. [Google Scholar] [CrossRef]
  193. Superti-Furga, A.; Gugler, E.; Gitzelmann, R.; Steinmann, B. Ehlers-Danlos syndrome type IV: A multi-exon deletion in one of the two COL3A1 alleles affecting structure, stability, and processing of type III procollagen. J. Biol. Chem. 1988, 263, 6226–6232. [Google Scholar] [CrossRef]
  194. Kontusaari, S.; Tromp, G.; Kuivaniemi, H.; Ladda, R.L.; Prockop, D.J. Inheritance of an RNA splicing mutation (G+ 1 IVS20) in the type III procollagen gene (COL3A1) in a family having aortic aneurysms and easy bruisability: Phenotypic overlap between familial arterial aneurysms and Ehlers-Danlos syndrome type IV. Am. J. Hum. Genet. 1990, 47, 112–120. [Google Scholar] [PubMed]
  195. Meester, J.A.; Vandeweyer, G.; Pintelon, I.; Lammens, M.; Van Hoorick, L.; De Belder, S.; Waitzman, K.; Young, L.; Markham, L.W.; Vogt, J.; et al. Loss-of-function mutations in the X-linked biglycan gene cause a severe syndromic form of thoracic aortic aneurysms and dissections. Genet. Med. 2017, 19, 386–395. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  196. Barbier, M.; Gross, M.S.; Aubart, M.; Hanna, N.; Kessler, K.; Guo, D.C.; Tosolini, L.; Ho-Tin-Noe, B.; Regalado, E.; Varret, M.; et al. MFAP5 loss-of-function mutations underscore the involvement of matrix alteration in the pathogenesis of familial thoracic aortic aneurysms and dissections. Am. J. Hum. Genet. 2014, 95, 736–743. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  197. Lee, V.S.; Halabi, C.M.; Hoffman, E.P.; Carmichael, N.; Leshchiner, I.; Lian, C.G.; Bierhals, A.J.; Vuzman, D.; Brigham Genomic, M.; Mecham, R.P.; et al. Loss of function mutation in LOX causes thoracic aortic aneurysm and dissection in humans. Proc. Natl. Acad. Sci. USA 2016, 113, 8759–8764. [Google Scholar] [CrossRef] [Green Version]
  198. Guo, D.C.; Regalado, E.S.; Gong, L.; Duan, X.; Santos-Cortez, R.L.; Arnaud, P.; Ren, Z.; Cai, B.; Hostetler, E.M.; Moran, R.; et al. LOX Mutations Predispose to Thoracic Aortic Aneurysms and Dissections. Circ. Res. 2016, 118, 928–934. [Google Scholar] [CrossRef] [Green Version]
  199. Szabo, Z.; Crepeau, M.W.; Mitchell, A.L.; Stephan, M.J.; Puntel, R.A.; Yin Loke, K.; Kirk, R.C.; Urban, Z. Aortic aneurysmal disease and cutis laxa caused by defects in the elastin gene. J. Med. Genet. 2006, 43, 255–258. [Google Scholar] [CrossRef] [Green Version]
  200. Callewaert, B.L.; Loeys, B.L.; Ficcadenti, A.; Vermeer, S.; Landgren, M.; Kroes, H.Y.; Yaron, Y.; Pope, M.; Foulds, N.; Boute, O.; et al. Comprehensive clinical and molecular assessment of 32 probands with congenital contractural arachnodactyly: Report of 14 novel mutations and review of the literature. Hum. Mutat. 2009, 30, 334–341. [Google Scholar] [CrossRef]
  201. Takeda, N.; Morita, H.; Fujita, D.; Inuzuka, R.; Taniguchi, Y.; Imai, Y.; Hirata, Y.; Komuro, I. Congenital contractural arachnodactyly complicated with aortic dilatation and dissection: Case report and review of literature. Am. J. Med. Genet. A 2015, 167A, 2382–2387. [Google Scholar] [CrossRef]
  202. Loeys, B.L.; Chen, J.; Neptune, E.R.; Judge, D.P.; Podowski, M.; Holm, T.; Meyers, J.; Leitch, C.C.; Katsanis, N.; Sharifi, N.; et al. A syndrome of altered cardiovascular, craniofacial, neurocognitive and skeletal development caused by mutations in TGFBR1 or TGFBR2. Nat. Genet. 2005, 37, 275–281. [Google Scholar] [CrossRef]
  203. van de Laar, I.M.; Oldenburg, R.A.; Pals, G.; Roos-Hesselink, J.W.; de Graaf, B.M.; Verhagen, J.M.; Hoedemaekers, Y.M.; Willemsen, R.; Severijnen, L.A.; Venselaar, H.; et al. Mutations in SMAD3 cause a syndromic form of aortic aneurysms and dissections with early-onset osteoarthritis. Nat. Genet. 2011, 43, 121–126. [Google Scholar] [CrossRef] [PubMed]
  204. Micha, D.; Guo, D.C.; Hilhorst-Hofstee, Y.; van Kooten, F.; Atmaja, D.; Overwater, E.; Cayami, F.K.; Regalado, E.S.; van Uffelen, R.; Venselaar, H.; et al. SMAD2 Mutations Are Associated with Arterial Aneurysms and Dissections. Hum. Mutat. 2015, 36, 1145–1149. [Google Scholar] [CrossRef]
  205. Lindsay, M.E.; Schepers, D.; Bolar, N.A.; Doyle, J.J.; Gallo, E.; Fert-Bober, J.; Kempers, M.J.; Fishman, E.K.; Chen, Y.; Myers, L.; et al. Loss-of-function mutations in TGFB2 cause a syndromic presentation of thoracic aortic aneurysm. Nat. Genet. 2012, 44, 922–927. [Google Scholar] [CrossRef] [PubMed]
  206. Boileau, C.; Guo, D.C.; Hanna, N.; Regalado, E.S.; Detaint, D.; Gong, L.; Varret, M.; Prakash, S.K.; Li, A.H.; d’Indy, H.; et al. TGFB2 mutations cause familial thoracic aortic aneurysms and dissections associated with mild systemic features of Marfan syndrome. Nat. Genet. 2012, 44, 916–921. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  207. Bertoli-Avella, A.M.; Gillis, E.; Morisaki, H.; Verhagen, J.M.; de Graaf, B.M.; van de Beek, G.; Gallo, E.; Kruithof, B.P.; Venselaar, H.; Myers, L.A.; et al. Mutations in a TGF-β ligand, TGFB3, cause syndromic aortic aneurysms and dissections. J. Am. Coll. Cardiol. 2015, 65, 1324–1336. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  208. Duan, X.Y.; Guo, D.C.; Regalado, E.S.; Shen, H.; University of Washington Center for Mendelian, G.; Coselli, J.S.; Estrera, A.L.; Safi, H.J.; Bamshad, M.J.; Nickerson, D.A.; et al. SMAD4 rare variants in individuals and families with thoracic aortic aneurysms and dissections. Eur. J. Hum. Genet. 2019, 27, 1054–1060. [Google Scholar] [CrossRef] [PubMed]
  209. Andrabi, S.; Bekheirnia, M.R.; Robbins-Furman, P.; Lewis, R.A.; Prior, T.W.; Potocki, L. SMAD4 mutation segregating in a family with juvenile polyposis, aortopathy, and mitral valve dysfunction. Am. J. Med. Genet. A 2011, 155A, 1165–1169. [Google Scholar] [CrossRef] [PubMed]
  210. Guo, D.C.; Regalado, E.S.; Pinard, A.; Chen, J.; Lee, K.; Rigelsky, C.; Zilberberg, L.; Hostetler, E.M.; Aldred, M.; Wallace, S.E.; et al. LTBP3 Pathogenic Variants Predispose Individuals to Thoracic Aortic Aneurysms and Dissections. Am. J. Hum. Genet. 2018, 102, 706–712. [Google Scholar] [CrossRef] [Green Version]
  211. Doyle, A.J.; Doyle, J.J.; Bessling, S.L.; Maragh, S.; Lindsay, M.E.; Schepers, D.; Gillis, E.; Mortier, G.; Homfray, T.; Sauls, K.; et al. Mutations in the TGF-β repressor SKI cause Shprintzen-Goldberg syndrome with aortic aneurysm. Nat. Genet. 2012, 44, 1249–1254. [Google Scholar] [CrossRef] [Green Version]
  212. Carmignac, V.; Thevenon, J.; Ades, L.; Callewaert, B.; Julia, S.; Thauvin-Robinet, C.; Gueneau, L.; Courcet, J.B.; Lopez, E.; Holman, K.; et al. In-frame mutations in exon 1 of SKI cause dominant Shprintzen-Goldberg syndrome. Am. J. Hum. Genet. 2012, 91, 950–957. [Google Scholar] [CrossRef] [Green Version]
  213. Garg, V.; Muth, A.N.; Ransom, J.F.; Schluterman, M.K.; Barnes, R.; King, I.N.; Grossfeld, P.D.; Srivastava, D. Mutations in NOTCH1 cause aortic valve disease. Nature 2005, 437, 270–274. [Google Scholar] [CrossRef] [PubMed]
  214. McKellar, S.H.; Tester, D.J.; Yagubyan, M.; Majumdar, R.; Ackerman, M.J.; Sundt, T.M., 3rd. Novel NOTCH1 mutations in patients with bicuspid aortic valve disease and thoracic aortic aneurysms. J. Thorac. Cardiovasc. Surg. 2007, 134, 290–296. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  215. Loscalzo, M.L.; Goh, D.L.; Loeys, B.; Kent, K.C.; Spevak, P.J.; Dietz, H.C. Familial thoracic aortic dilation and bicommissural aortic valve: A prospective analysis of natural history and inheritance. Am. J. Med. Genet. A 2007, 143A, 1960–1967. [Google Scholar] [CrossRef] [PubMed]
  216. Debiec, R.; Hamby, S.E.; Jones, P.D.; Coolman, S.; Asiani, M.; Kharodia, S.; Skinner, G.J.; Samani, N.J.; Webb, T.R.; Bolger, A. Novel loss of function mutation in NOTCH1 in a family with bicuspid aortic valve, ventricular septal defect, thoracic aortic aneurysm, and aortic valve stenosis. Mol. Genet. Genomic Med. 2020, 8, e1437. [Google Scholar] [CrossRef] [PubMed]
  217. Guo, D.C.; Pannu, H.; Tran-Fadulu, V.; Papke, C.L.; Yu, R.K.; Avidan, N.; Bourgeois, S.; Estrera, A.L.; Safi, H.J.; Sparks, E.; et al. Mutations in smooth muscle α-actin (ACTA2) lead to thoracic aortic aneurysms and dissections. Nat. Genet. 2007, 39, 1488–1493. [Google Scholar] [CrossRef]
  218. Zhu, L.; Vranckx, R.; Khau Van Kien, P.; Lalande, A.; Boisset, N.; Mathieu, F.; Wegman, M.; Glancy, L.; Gasc, J.M.; Brunotte, F.; et al. Mutations in myosin heavy chain 11 cause a syndrome associating thoracic aortic aneurysm/aortic dissection and patent ductus arteriosus. Nat. Genet. 2006, 38, 343–349. [Google Scholar] [CrossRef] [PubMed]
  219. Wang, L.; Guo, D.C.; Cao, J.; Gong, L.; Kamm, K.E.; Regalado, E.; Li, L.; Shete, S.; He, W.Q.; Zhu, M.S.; et al. Mutations in myosin light chain kinase cause familial aortic dissections. Am. J. Hum. Genet. 2010, 87, 701–707. [Google Scholar] [CrossRef] [Green Version]
  220. Guo, D.C.; Regalado, E.; Casteel, D.E.; Santos-Cortez, R.L.; Gong, L.; Kim, J.J.; Dyack, S.; Horne, S.G.; Chang, G.; Jondeau, G.; et al. Recurrent gain-of-function mutation in PRKG1 causes thoracic aortic aneurysms and acute aortic dissections. Am. J. Hum. Genet. 2013, 93, 398–404. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  221. de Wit, M.C.; de Coo, I.F.; Lequin, M.H.; Halley, D.J.; Roos-Hesselink, J.W.; Mancini, G.M. Combined cardiological and neurological abnormalities due to filamin A gene mutation. Clin. Res. Cardiol. 2011, 100, 45–50. [Google Scholar] [CrossRef] [Green Version]
  222. Reinstein, E.; Frentz, S.; Morgan, T.; Garcia-Minaur, S.; Leventer, R.J.; McGillivray, G.; Pariani, M.; van der Steen, A.; Pope, M.; Holder-Espinasse, M.; et al. Vascular and connective tissue anomalies associated with X-linked periventricular heterotopia due to mutations in Filamin A. Eur. J. Hum. Genet. 2013, 21, 494–502. [Google Scholar] [CrossRef]
  223. Nakamura, F.; Stossel, T.P.; Hartwig, J.H. The filamins: Organizers of cell structure and function. Cell Adh. Migr. 2011, 5, 160–169. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  224. Chen, M.H.; Choudhury, S.; Hirata, M.; Khalsa, S.; Chang, B.; Walsh, C.A. Thoracic aortic aneurysm in patients with loss of function Filamin A mutations: Clinical characterization, genetics, and recommendations. Am. J. Med. Genet. A 2018, 176, 337–350. [Google Scholar] [CrossRef] [PubMed]
  225. Tan, K.L.; Haelterman, N.A.; Kwartler, C.S.; Regalado, E.S.; Lee, P.T.; Nagarkar-Jaiswal, S.; Guo, D.C.; Duraine, L.; Wangler, M.F.; University of Washington Center for Mendelian, G.; et al. Ari-1 Regulates Myonuclear Organization Together with Parkin and Is Associated with Aortic Aneurysms. Dev. Cell 2018, 45, 226–244. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  226. Coucke, P.J.; Willaert, A.; Wessels, M.W.; Callewaert, B.; Zoppi, N.; De Backer, J.; Fox, J.E.; Mancini, G.M.; Kambouris, M.; Gardella, R.; et al. Mutations in the facilitative glucose transporter GLUT10 alter angiogenesis and cause arterial tortuosity syndrome. Nat. Genet. 2006, 38, 452–457. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  227. Boel, A.; Burger, J.; Vanhomwegen, M.; Beyens, A.; Renard, M.; Barnhoorn, S.; Casteleyn, C.; Reinhardt, D.P.; Descamps, B.; Vanhove, C.; et al. Slc2a10 knock-out mice deficient in ascorbic acid synthesis recapitulate aspects of arterial tortuosity syndrome and display mitochondrial respiration defects. Hum. Mol. Genet. 2020, 29, 1476–1488. [Google Scholar] [CrossRef]
  228. Willaert, A.; Khatri, S.; Callewaert, B.L.; Coucke, P.J.; Crosby, S.D.; Lee, J.G.; Davis, E.C.; Shiva, S.; Tsang, M.; De Paepe, A.; et al. GLUT10 is required for the development of the cardiovascular system and the notochord and connects mitochondrial function to TGFbeta signaling. Hum. Mol. Genet. 2012, 21, 1248–1259. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  229. Vermeer, A.M.C.; Lodder, E.M.; Thomas, D.; Duijkers, F.A.M.; Marcelis, C.; van Gorselen, E.O.F.; Fortner, P.; Buss, S.J.; Mereles, D.; Katus, H.A.; et al. Dilation of the Aorta Ascendens Forms Part of the Clinical Spectrum of HCN4 Mutations. J. Am. Coll Cardiol. 2016, 67, 2313–2315. [Google Scholar] [CrossRef]
  230. Hanania, H.L.; Regalado, E.S.; Guo, D.C.; Xu, L.; Demo, E.; Sallee, D.; Milewicz, D.M. Do HCN4 Variants Predispose to Thoracic Aortic Aneurysms and Dissections? Circ. Genom. Precis. Med. 2019, 12, e002626. [Google Scholar] [CrossRef]
  231. Guo, D.C.; Gong, L.; Regalado, E.S.; Santos-Cortez, R.L.; Zhao, R.; Cai, B.; Veeraraghavan, S.; Prakash, S.K.; Johnson, R.J.; Muilenburg, A.; et al. MAT2A mutations predispose individuals to thoracic aortic aneurysms. Am. J. Hum. Genet. 2015, 96, 170–177. [Google Scholar] [CrossRef] [Green Version]
  232. Kuang, S.Q.; Medina-Martinez, O.; Guo, D.C.; Gong, L.; Regalado, E.S.; Reynolds, C.L.; Boileau, C.; Jondeau, G.; Prakash, S.K.; Kwartler, C.S.; et al. FOXE3 mutations predispose to thoracic aortic aneurysms and dissections. J. Clin. Investig. 2016, 126, 948–961. [Google Scholar] [CrossRef] [Green Version]
  233. Sherratt, M.J.; Wess, T.J.; Baldock, C.; Ashworth, J.; Purslow, P.P.; Shuttleworth, C.A.; Kielty, C.M. Fibrillin-rich microfibrils of the extracellular matrix: Ultrastructure and assembly. Micron 2001, 32, 185–200. [Google Scholar] [CrossRef]
  234. Dietz, H.C.; Saraiva, J.M.; Pyeritz, R.E.; Cutting, G.R.; Francomano, C.A. Clustering of fibrillin (FBN1) missense mutations in Marfan syndrome patients at cysteine residues in EGF-like domains. Hum. Mutat. 1992, 1, 366–374. [Google Scholar] [CrossRef] [PubMed]
  235. Loeys, B.; De Backer, J.; Van Acker, P.; Wettinck, K.; Pals, G.; Nuytinck, L.; Coucke, P.; De Paepe, A. Comprehensive molecular screening of the FBN1 gene favors locus homogeneity of classical Marfan syndrome. Hum. Mutat. 2004, 24, 140–146. [Google Scholar] [CrossRef] [PubMed]
  236. Robinson, P.N.; Arteaga-Solis, E.; Baldock, C.; Collod-Beroud, G.; Booms, P.; De Paepe, A.; Dietz, H.C.; Guo, G.; Handford, P.A.; Judge, D.P.; et al. The molecular genetics of Marfan syndrome and related disorders. J. Med. Genet. 2006, 43, 769–787. [Google Scholar] [CrossRef] [Green Version]
  237. Milewicz, D.M.; Pyeritz, R.E.; Crawford, E.S.; Byers, P.H. Marfan syndrome: Defective synthesis, secretion, and extracellular matrix formation of fibrillin by cultured dermal fibroblasts. J. Clin. Investig. 1992, 89, 79–86. [Google Scholar] [CrossRef] [Green Version]
  238. Dietz, H.C.; Loeys, B.; Carta, L.; Ramirez, F. Recent progress towards a molecular understanding of Marfan syndrome. Am. J. Med. Genet. C. Semin. Med. Genet. 2005, 139C, 4–9. [Google Scholar] [CrossRef]
  239. Bunton, T.E.; Biery, N.J.; Myers, L.; Gayraud, B.; Ramirez, F.; Dietz, H.C. Phenotypic alteration of vascular smooth muscle cells precedes elastolysis in a mouse model of Marfan syndrome. Circ. Res. 2001, 88, 37–43. [Google Scholar] [CrossRef] [Green Version]
  240. Neptune, E.R.; Frischmeyer, P.A.; Arking, D.E.; Myers, L.; Bunton, T.E.; Gayraud, B.; Ramirez, F.; Sakai, L.Y.; Dietz, H.C. Dysregulation of TGF-β activation contributes to pathogenesis in Marfan syndrome. Nat. Genet. 2003, 33, 407–411. [Google Scholar] [CrossRef]
  241. Isogai, Z.; Ono, R.N.; Ushiro, S.; Keene, D.R.; Chen, Y.; Mazzieri, R.; Charbonneau, N.L.; Reinhardt, D.P.; Rifkin, D.B.; Sakai, L.Y. Latent transforming growth factor β-binding protein 1 interacts with fibrillin and is a microfibril-associated protein. J. Biol. Chem. 2003, 278, 2750–2757. [Google Scholar] [CrossRef] [Green Version]
  242. Judge, D.P.; Biery, N.J.; Keene, D.R.; Geubtner, J.; Myers, L.; Huso, D.L.; Sakai, L.Y.; Dietz, H.C. Evidence for a critical contribution of haploinsufficiency in the complex pathogenesis of Marfan syndrome. J. Clin. Investig. 2004, 114, 172–181. [Google Scholar] [CrossRef] [Green Version]
  243. Charbonneau, N.L.; Carlson, E.J.; Tufa, S.; Sengle, G.; Manalo, E.C.; Carlberg, V.M.; Ramirez, F.; Keene, D.R.; Sakai, L.Y. In vivo studies of mutant fibrillin-1 microfibrils. J Biol. Chem. 2010, 285, 24943–24955. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  244. Chung, A.W.; Au Yeung, K.; Sandor, G.G.; Judge, D.P.; Dietz, H.C.; van Breemen, C. Loss of elastic fiber integrity and reduction of vascular smooth muscle contraction resulting from the upregulated activities of matrix metalloproteinase-2 and -9 in the thoracic aortic aneurysm in Marfan syndrome. Circ. Res. 2007, 101, 512–522. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  245. Sengle, G.; Sakai, L.Y. The fibrillin microfibril scaffold: A niche for growth factors and mechanosensation? Matrix Biol. 2015, 47, 3–12. [Google Scholar] [CrossRef] [PubMed]
  246. Maki, J.M.; Rasanen, J.; Tikkanen, H.; Sormunen, R.; Makikallio, K.; Kivirikko, K.I.; Soininen, R. Inactivation of the lysyl oxidase gene Lox leads to aortic aneurysms, cardiovascular dysfunction, and perinatal death in mice. Circulation 2002, 106, 2503–2509. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  247. Kagan, H.M.; Li, W. Lysyl oxidase: Properties, specificity, and biological roles inside and outside of the cell. J. Cell Biochem. 2003, 88, 660–672. [Google Scholar] [CrossRef]
  248. Papke, C.L.; Yanagisawa, H. Fibulin-4 and fibulin-5 in elastogenesis and beyond: Insights from mouse and human studies. Matrix Biol. 2014, 37, 142–149. [Google Scholar] [CrossRef]
  249. Csiszar, K. Lysyl oxidases: A novel multifunctional amine oxidase family. Prog. Nucleic Acid Res. Mol. Biol. 2001, 70, 1–32. [Google Scholar]
  250. Lucero, H.A.; Ravid, K.; Grimsby, J.L.; Rich, C.B.; DiCamillo, S.J.; Maki, J.M.; Myllyharju, J.; Kagan, H.M. Lysyl oxidase oxidizes cell membrane proteins and enhances the chemotactic response of vascular smooth muscle cells. J. Biol. Chem. 2008, 283, 24103–24117. [Google Scholar] [CrossRef] [Green Version]
  251. Laczko, R.; Csiszar, K. Lysyl Oxidase (LOX): Functional Contributions to Signaling Pathways. Biomolecules 2020, 10, 1093. [Google Scholar] [CrossRef]
  252. Atsawasuwan, P.; Mochida, Y.; Katafuchi, M.; Kaku, M.; Fong, K.S.; Csiszar, K.; Yamauchi, M. Lysyl oxidase binds transforming growth factor-β and regulates its signaling via amine oxidase activity. J. Biol. Chem. 2008, 283, 34229–34240. [Google Scholar] [CrossRef] [Green Version]
  253. Kutchuk, L.; Laitala, A.; Soueid-Bomgarten, S.; Shentzer, P.; Rosendahl, A.H.; Eilot, S.; Grossman, M.; Sagi, I.; Sormunen, R.; Myllyharju, J.; et al. Muscle composition is regulated by a Lox-TGFbeta feedback loop. Development 2015, 142, 983–993. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  254. Schips, T.G.; Vanhoutte, D. Marfan syndrome and aortic aneurysm: Lysyl oxidases to the rescue? J. Mol. Cell Cardiol. 2015, 86, 9–11. [Google Scholar] [CrossRef] [PubMed]
  255. Busnadiego, O.; Gorbenko Del Blanco, D.; Gonzalez-Santamaria, J.; Habashi, J.P.; Calderon, J.F.; Sandoval, P.; Bedja, D.; Guinea-Viniegra, J.; Lopez-Cabrera, M.; Rosell-Garcia, T.; et al. Elevated expression levels of lysyl oxidases protect against aortic aneurysm progression in Marfan syndrome. J. Mol. Cell Cardiol. 2015, 85, 48–57. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  256. Horiguchi, M.; Inoue, T.; Ohbayashi, T.; Hirai, M.; Noda, K.; Marmorstein, L.Y.; Yabe, D.; Takagi, K.; Akama, T.O.; Kita, T.; et al. Fibulin-4 conducts proper elastogenesis via interaction with cross-linking enzyme lysyl oxidase. Proc. Natl. Acad. Sci. USA 2009, 106, 19029–19034. [Google Scholar] [CrossRef] [Green Version]
  257. Noda, K.; Kitagawa, K.; Miki, T.; Horiguchi, M.; Akama, T.O.; Taniguchi, T.; Taniguchi, H.; Takahashi, K.; Ogra, Y.; Mecham, R.P.; et al. A matricellular protein fibulin-4 is essential for the activation of lysyl oxidase. Sci. Adv. 2020, 6, sciadv.abc1404. [Google Scholar] [CrossRef]
  258. Huang, J.; Davis, E.C.; Chapman, S.L.; Budatha, M.; Marmorstein, L.Y.; Word, R.A.; Yanagisawa, H. Fibulin-4 deficiency results in ascending aortic aneurysms: A potential link between abnormal smooth muscle cell phenotype and aneurysm progression. Circ. Res. 2010, 106, 583–592. [Google Scholar] [CrossRef] [Green Version]
  259. Halabi, C.M.; Broekelmann, T.J.; Lin, M.; Lee, V.S.; Chu, M.L.; Mecham, R.P. Fibulin-4 is essential for maintaining arterial wall integrity in conduit but not muscular arteries. Sci Adv. 2017, 3, e1602532. [Google Scholar] [CrossRef] [Green Version]
  260. Yamashiro, Y.; Papke, C.L.; Kim, J.; Ringuette, L.J.; Zhang, Q.J.; Liu, Z.P.; Mirzaei, H.; Wagenseil, J.E.; Davis, E.C.; Yanagisawa, H. Abnormal mechanosensing and cofilin activation promote the progression of ascending aortic aneurysms in mice. Sci. Signal. 2015, 8, ra105. [Google Scholar] [CrossRef] [Green Version]
  261. Yamashiro, Y.; Thang, B.Q.; Shin, S.J.; Lino, C.A.; Nakamura, T.; Kim, J.; Sugiyama, K.; Tokunaga, C.; Sakamoto, H.; Osaka, M.; et al. Role of Thrombospondin-1 in Mechanotransduction and Development of Thoracic Aortic Aneurysm in Mouse and Humans. Circ. Res. 2018, 123, 660–672. [Google Scholar] [CrossRef]
  262. Miyamoto, A.; Lau, R.; Hein, P.W.; Shipley, J.M.; Weinmaster, G. Microfibrillar proteins MAGP-1 and MAGP-2 induce Notch1 extracellular domain dissociation and receptor activation. J. Biol. Chem. 2006, 281, 10089–10097. [Google Scholar] [CrossRef] [Green Version]
  263. Combs, M.D.; Knutsen, R.H.; Broekelmann, T.J.; Toennies, H.M.; Brett, T.J.; Miller, C.A.; Kober, D.L.; Craft, C.S.; Atkinson, J.J.; Shipley, J.M.; et al. Microfibril-associated glycoprotein 2 (MAGP2) loss of function has pleiotropic effects in vivo. J. Biol. Chem. 2013, 288, 28869–28880. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  264. Craft, C.S.; Broekelmann, T.J.; Mecham, R.P. Microfibril-associated glycoproteins MAGP-1 and MAGP-2 in disease. Matrix Biol. 2018, 71-72, 100–111. [Google Scholar] [CrossRef] [PubMed]
  265. Iozzo, R.V. The biology of the small leucine-rich proteoglycans. Functional network of interactive proteins. J. Biol Chem. 1999, 274, 18843–18846. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  266. Reinboth, B.; Hanssen, E.; Cleary, E.G.; Gibson, M.A. Molecular interactions of biglycan and decorin with elastic fiber components: Biglycan forms a ternary complex with tropoelastin and microfibril-associated glycoprotein 1. J. Biol Chem. 2002, 277, 3950–3957. [Google Scholar] [CrossRef] [Green Version]
  267. Kinsella, M.G.; Bressler, S.L.; Wight, T.N. The regulated synthesis of versican, decorin, and biglycan: Extracellular matrix proteoglycans that influence cellular phenotype. Crit. Rev. Eukaryot Gene Expr. 2004, 14, 203–234. [Google Scholar] [CrossRef]
  268. Douglas, T.; Heinemann, S.; Bierbaum, S.; Scharnweber, D.; Worch, H. Fibrillogenesis of collagen types I, II, and III with small leucine-rich proteoglycans decorin and biglycan. Biomacromolecules 2006, 7, 2388–2393. [Google Scholar] [CrossRef]
  269. Powell, J.T.; Lanne, T. Through thick and thin collagen fibrils, stress, and aortic rupture: Another piece in the jigsaw. Circulation 2007, 115, 2687–2688. [Google Scholar] [CrossRef] [Green Version]
  270. Heegaard, A.M.; Corsi, A.; Danielsen, C.C.; Nielsen, K.L.; Jorgensen, H.L.; Riminucci, M.; Young, M.F.; Bianco, P. Biglycan deficiency causes spontaneous aortic dissection and rupture in mice. Circulation 2007, 115, 2731–2738. [Google Scholar] [CrossRef] [Green Version]
  271. Hildebrand, A.; Romaris, M.; Rasmussen, L.M.; Heinegard, D.; Twardzik, D.R.; Border, W.A.; Ruoslahti, E. Interaction of the small interstitial proteoglycans biglycan, decorin and fibromodulin with transforming growth factor β. Biochem. J. 1994, 302, 527–534. [Google Scholar] [CrossRef]
  272. Kolb, M.; Margetts, P.J.; Sime, P.J.; Gauldie, J. Proteoglycans decorin and biglycan differentially modulate TGF-β-mediated fibrotic responses in the lung. Am. J. Physiol. Lung Cell Mol. Physiol. 2001, 280, L1327–L1334. [Google Scholar] [CrossRef]
  273. de Figueiredo Borges, L.; Jaldin, R.G.; Dias, R.R.; Stolf, N.A.; Michel, J.B.; Gutierrez, P.S. Collagen is reduced and disrupted in human aneurysms and dissections of ascending aorta. Hum. Pathol. 2008, 39, 437–443. [Google Scholar] [CrossRef] [PubMed]
  274. Bowen, C.J.; Calderon Giadrosic, J.F.; Burger, Z.; Rykiel, G.; Davis, E.C.; Helmers, M.R.; Benke, K.; Gallo MacFarlane, E.; Dietz, H.C. Targetable cellular signaling events mediate vascular pathology in vascular Ehlers-Danlos syndrome. J. Clin. Investig. 2020, 130, 686–698. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  275. Graul-Neumann, L.M.; Hausser, I.; Essayie, M.; Rauch, A.; Kraus, C. Highly variable cutis laxa resulting from a dominant splicing mutation of the elastin gene. Am. J. Med. Genet. A 2008, 146A, 977–983. [Google Scholar] [CrossRef] [PubMed]
  276. Cocciolone, A.J.; Hawes, J.Z.; Staiculescu, M.C.; Johnson, E.O.; Murshed, M.; Wagenseil, J.E. Elastin, arterial mechanics, and cardiovascular disease. Am. J. Physiol. Heart Circ. Physiol. 2018, 315, H189–H205. [Google Scholar] [CrossRef] [PubMed]
  277. Callewaert, B.; Renard, M.; Hucthagowder, V.; Albrecht, B.; Hausser, I.; Blair, E.; Dias, C.; Albino, A.; Wachi, H.; Sato, F.; et al. New insights into the pathogenesis of autosomal-dominant cutis laxa with report of five ELN mutations. Hum. Mutat. 2011, 32, 445–455. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  278. Tassabehji, M.; Metcalfe, K.; Hurst, J.; Ashcroft, G.S.; Kielty, C.; Wilmot, C.; Donnai, D.; Read, A.P.; Jones, C.J. An elastin gene mutation producing abnormal tropoelastin and abnormal elastic fibres in a patient with autosomal dominant cutis laxa. Hum. Mol. Genet. 1998, 7, 1021–1028. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  279. Curran, M.E.; Atkinson, D.L.; Ewart, A.K.; Morris, C.A.; Leppert, M.F.; Keating, M.T. The elastin gene is disrupted by a translocation associated with supravalvular aortic stenosis. Cell 1993, 73, 159–168. [Google Scholar] [CrossRef]
  280. Ewart, A.K.; Morris, C.A.; Atkinson, D.; Jin, W.; Sternes, K.; Spallone, P.; Stock, A.D.; Leppert, M.; Keating, M.T. Hemizygosity at the elastin locus in a developmental disorder, Williams syndrome. Nat. Genet. 1993, 5, 11–16. [Google Scholar] [CrossRef]
  281. Ewart, A.K.; Jin, W.; Atkinson, D.; Morris, C.A.; Keating, M.T. Supravalvular aortic stenosis associated with a deletion disrupting the elastin gene. J. Clin. Investig. 1994, 93, 1071–1077. [Google Scholar] [CrossRef] [Green Version]
  282. Tassabehji, M.; Metcalfe, K.; Donnai, D.; Hurst, J.; Reardon, W.; Burch, M.; Read, A.P. Elastin: Genomic structure and point mutations in patients with supravalvular aortic stenosis. Hum. Mol. Genet. 1997, 6, 1029–1036. [Google Scholar] [CrossRef] [Green Version]
  283. Li, D.Y.; Brooke, B.; Davis, E.C.; Mecham, R.P.; Sorensen, L.K.; Boak, B.B.; Eichwald, E.; Keating, M.T. Elastin is an essential determinant of arterial morphogenesis. Nature 1998, 393, 276–280. [Google Scholar] [CrossRef] [PubMed]
  284. Koch, A.; Buheitel, G.; Hofbeck, M.; Rauch, A.; Kraus, C.; Tassabehji, M.; Singer, H. Spectrum of arterial obstructions caused by one elastin gene point mutation. Eur. J. Pediatr. 2003, 162, 53–54. [Google Scholar] [CrossRef] [PubMed]
  285. Micale, L.; Turturo, M.G.; Fusco, C.; Augello, B.; Jurado, L.A.; Izzi, C.; Digilio, M.C.; Milani, D.; Lapi, E.; Zelante, L.; et al. Identification and characterization of seven novel mutations of elastin gene in a cohort of patients affected by supravalvular aortic stenosis. Eur. J. Hum. Genet. 2010, 18, 317–323. [Google Scholar] [CrossRef] [PubMed]
  286. Lin, C.J.; Staiculescu, M.C.; Hawes, J.Z.; Cocciolone, A.J.; Hunkins, B.M.; Roth, R.A.; Lin, C.Y.; Mecham, R.P.; Wagenseil, J.E. Heterogeneous Cellular Contributions to Elastic Laminae Formation in Arterial Wall Development. Circ. Res. 2019, 125, 1006–1018. [Google Scholar] [CrossRef]
  287. Li, D.Y.; Faury, G.; Taylor, D.G.; Davis, E.C.; Boyle, W.A.; Mecham, R.P.; Stenzel, P.; Boak, B.; Keating, M.T. Novel arterial pathology in mice and humans hemizygous for elastin. J. Clin. Investig. 1998, 102, 1783–1787. [Google Scholar] [CrossRef] [Green Version]
  288. Faury, G.; Pezet, M.; Knutsen, R.H.; Boyle, W.A.; Heximer, S.P.; McLean, S.E.; Minkes, R.K.; Blumer, K.J.; Kovacs, A.; Kelly, D.P.; et al. Developmental adaptation of the mouse cardiovascular system to elastin haploinsufficiency. J. Clin. Investig. 2003, 112, 1419–1428. [Google Scholar] [CrossRef]
  289. Yanagisawa, H.; Davis, E.C.; Starcher, B.C.; Ouchi, T.; Yanagisawa, M.; Richardson, J.A.; Olson, E.N. Fibulin-5 is an elastin-binding protein essential for elastic fibre development in vivo. Nature 2002, 415, 168–171. [Google Scholar] [CrossRef]
  290. Nakamura, T.; Lozano, P.R.; Ikeda, Y.; Iwanaga, Y.; Hinek, A.; Minamisawa, S.; Cheng, C.F.; Kobuke, K.; Dalton, N.; Takada, Y.; et al. Fibulin-5/DANCE is essential for elastogenesis in vivo. Nature 2002, 415, 171–175. [Google Scholar] [CrossRef]
  291. Hu, Q.; Loeys, B.L.; Coucke, P.J.; De Paepe, A.; Mecham, R.P.; Choi, J.; Davis, E.C.; Urban, Z. Fibulin-5 mutations: Mechanisms of impaired elastic fiber formation in recessive cutis laxa. Hum. Mol. Genet. 2006, 15, 3379–3386. [Google Scholar] [CrossRef] [Green Version]
  292. Loeys, B.; Van Maldergem, L.; Mortier, G.; Coucke, P.; Gerniers, S.; Naeyaert, J.M.; De Paepe, A. Homozygosity for a missense mutation in fibulin-5 (FBLN5) results in a severe form of cutis laxa. Hum. Mol. Genet. 2002, 11, 2113–2118. [Google Scholar] [CrossRef]
  293. Yanagisawa, H.; Wagenseil, J. Elastic fibers and biomechanics of the aorta: Insights from mouse studies. Matrix Biol. 2020, 85-86, 160–172. [Google Scholar] [CrossRef] [PubMed]
  294. Morisaki, H.; Akutsu, K.; Ogino, H.; Kondo, N.; Yamanaka, I.; Tsutsumi, Y.; Yoshimuta, T.; Okajima, T.; Matsuda, H.; Minatoya, K.; et al. Mutation of ACTA2 gene as an important cause of familial and nonfamilial nonsyndromatic thoracic aortic aneurysm and/or dissection (TAAD). Hum. Mutat. 2009, 30, 1406–1411. [Google Scholar] [CrossRef] [PubMed]
  295. Disabella, E.; Grasso, M.; Gambarin, F.I.; Narula, N.; Dore, R.; Favalli, V.; Serio, A.; Antoniazzi, E.; Mosconi, M.; Pasotti, M.; et al. Risk of dissection in thoracic aneurysms associated with mutations of smooth muscle α-actin 2 (ACTA2). Heart 2011, 97, 321–326. [Google Scholar] [CrossRef] [PubMed]
  296. Lu, H.; Fagnant, P.M.; Bookwalter, C.S.; Joel, P.; Trybus, K.M. Vascular disease-causing mutation R258C in ACTA2 disrupts actin dynamics and interaction with myosin. Proc. Natl. Acad. Sci. USA 2015, 112, E4168–E4177. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  297. Luyckx, I.; Proost, D.; Hendriks, J.M.; Saenen, J.; Van Craenenbroeck, E.M.; Vermeulen, T.; Peeters, N.; Wuyts, W.; Rodrigus, I.; Verstraeten, A.; et al. Two novel MYLK nonsense mutations causing thoracic aortic aneurysms/dissections in patients without apparent family history. Clin. Genet. 2017. [Google Scholar] [CrossRef] [PubMed]
  298. Shalata, A.; Mahroom, M.; Milewicz, D.M.; Limin, G.; Kassum, F.; Badarna, K.; Tarabeih, N.; Assy, N.; Fell, R.; Cohen, H.; et al. Fatal thoracic aortic aneurysm and dissection in a large family with a novel MYLK gene mutation: Delineation of the clinical phenotype. Orphanet J. Rare Dis. 2018, 13, 41. [Google Scholar] [CrossRef] [Green Version]
  299. Wallace, S.E.; Regalado, E.S.; Gong, L.; Janda, A.L.; Guo, D.C.; Russo, C.F.; Kulmacz, R.J.; Hanna, N.; Jondeau, G.; Boileau, C.; et al. MYLK pathogenic variants aortic disease presentation, pregnancy risk, and characterization of pathogenic missense variants. Genet. Med. 2019, 21, 144–151. [Google Scholar] [CrossRef] [Green Version]
  300. Sheen, V.L.; Jansen, A.; Chen, M.H.; Parrini, E.; Morgan, T.; Ravenscroft, R.; Ganesh, V.; Underwood, T.; Wiley, J.; Leventer, R.; et al. Filamin A mutations cause periventricular heterotopia with Ehlers-Danlos syndrome. Neurology 2005, 64, 254–262. [Google Scholar] [CrossRef]
  301. Kim, H.; McCulloch, C.A. Filamin A mediates interactions between cytoskeletal proteins that control cell adhesion. FEBS Lett. 2011, 585, 18–22. [Google Scholar] [CrossRef] [Green Version]
  302. Feng, Y.; Walsh, C.A. The many faces of filamin: A versatile molecular scaffold for cell motility and signalling. Nat. Cell Biol. 2004, 6, 1034–1038. [Google Scholar] [CrossRef]
  303. Stossel, T.P.; Condeelis, J.; Cooley, L.; Hartwig, J.H.; Noegel, A.; Schleicher, M.; Shapiro, S.S. Filamins as integrators of cell mechanics and signalling. Nat. Rev. Mol. Cell Biol. 2001, 2, 138–145. [Google Scholar] [CrossRef] [PubMed]
  304. Sasaki, A.; Masuda, Y.; Ohta, Y.; Ikeda, K.; Watanabe, K. Filamin associates with Smads and regulates transforming growth factor-β signaling. J. Biol. Chem. 2001, 276, 17871–17877. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  305. Lino Cardenas, C.L.; Kessinger, C.W.; Cheng, Y.; MacDonald, C.; MacGillivray, T.; Ghoshhajra, B.; Huleihel, L.; Nuri, S.; Yeri, A.S.; Jaffer, F.A.; et al. An HDAC9-MALAT1-BRG1 complex mediates smooth muscle dysfunction in thoracic aortic aneurysm. Nat. Commun. 2018, 9, 1009. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  306. Boileau, A.; Lindsay, M.E.; Michel, J.B.; Devaux, Y. Epigenetics in Ascending Thoracic Aortic Aneurysm and Dissection. Aorta (Stamford) 2018, 6, 1–12. [Google Scholar] [CrossRef] [Green Version]
  307. Inamoto, S.; Kwartler, C.S.; Lafont, A.L.; Liang, Y.Y.; Fadulu, V.T.; Duraisamy, S.; Willing, M.; Estrera, A.; Safi, H.; Hannibal, M.C.; et al. TGFBR2 mutations alter smooth muscle cell phenotype and predispose to thoracic aortic aneurysms and dissections. Cardiovasc. Res. 2010, 88, 520–529. [Google Scholar] [CrossRef] [Green Version]
  308. van der Linde, D.; van de Laar, I.M.; Bertoli-Avella, A.M.; Oldenburg, R.A.; Bekkers, J.A.; Mattace-Raso, F.U.; van den Meiracker, A.H.; Moelker, A.; van Kooten, F.; Frohn-Mulder, I.M.; et al. Aggressive cardiovascular phenotype of aneurysms-osteoarthritis syndrome caused by pathogenic SMAD3 variants. J. Am. Coll. Cardiol. 2012, 60, 397–403. [Google Scholar] [CrossRef]
  309. van de Laar, I.M.; van der Linde, D.; Oei, E.H.; Bos, P.K.; Bessems, J.H.; Bierma-Zeinstra, S.M.; van Meer, B.L.; Pals, G.; Oldenburg, R.A.; Bekkers, J.A.; et al. Phenotypic spectrum of the SMAD3-related aneurysms-osteoarthritis syndrome. J. Med. Genet. 2012, 49, 47–57. [Google Scholar] [CrossRef]
  310. Wischmeijer, A.; Van Laer, L.; Tortora, G.; Bolar, N.A.; Van Camp, G.; Fransen, E.; Peeters, N.; di Bartolomeo, R.; Pacini, D.; Gargiulo, G.; et al. Thoracic aortic aneurysm in infancy in aneurysms-osteoarthritis syndrome due to a novel SMAD3 mutation: Further delineation of the phenotype. Am. J. Med. Genet. A 2013, 161A, 1028–1035. [Google Scholar] [CrossRef]
  311. Schepers, D.; Tortora, G.; Morisaki, H.; MacCarrick, G.; Lindsay, M.; Liang, D.; Mehta, S.G.; Hague, J.; Verhagen, J.; van de Laar, I.; et al. A mutation update on the LDS-associated genes TGFB2/3 and SMAD2/3. Hum. Mutat. 2018, 39, 621–634. [Google Scholar] [CrossRef] [Green Version]
  312. Zilberberg, L.; Phoon, C.K.; Robertson, I.; Dabovic, B.; Ramirez, F.; Rifkin, D.B. Genetic analysis of the contribution of LTBP-3 to thoracic aneurysm in Marfan syndrome. Proc. Natl. Acad. Sci. USA 2015, 112, 14012–14017. [Google Scholar] [CrossRef] [Green Version]
  313. Gallo, E.M.; Loch, D.C.; Habashi, J.P.; Calderon, J.F.; Chen, Y.; Bedja, D.; van Erp, C.; Gerber, E.E.; Parker, S.J.; Sauls, K.; et al. Angiotensin II-dependent TGF-β signaling contributes to Loeys-Dietz syndrome vascular pathogenesis. J. Clin. Investig. 2014, 124, 448–460. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  314. Schoenhoff, F.S. Increased TGF-β Signaling Precedes Aneurysm Formation in SMAD3 Deficient Mice. EBioMedicine 2016, 12, 26–27. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  315. van der Pluijm, I.; van Vliet, N.; von der Thusen, J.H.; Robertus, J.L.; Ridwan, Y.; van Heijningen, P.M.; van Thiel, B.S.; Vermeij, M.; Hoeks, S.E.; Buijs-Offerman, R.; et al. Defective Connective Tissue Remodeling in Smad3 Mice Leads to Accelerated Aneurysmal Growth Through Disturbed Downstream TGF-β Signaling. EBioMedicine 2016, 12, 280–294. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  316. Hu, B.; Wu, Z.; Phan, S.H. Smad3 mediates transforming growth factor-β-induced α-smooth muscle actin expression. Am. J. Respir. Cell Mol. Biol. 2003, 29, 397–404. [Google Scholar] [CrossRef] [PubMed]
  317. Li, W.; Li, Q.; Jiao, Y.; Qin, L.; Ali, R.; Zhou, J.; Ferruzzi, J.; Kim, R.W.; Geirsson, A.; Dietz, H.C.; et al. Tgfbr2 disruption in postnatal smooth muscle impairs aortic wall homeostasis. J. Clin. Investig. 2014, 124, 755–767. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  318. Hu, J.H.; Wei, H.; Jaffe, M.; Airhart, N.; Du, L.; Angelov, S.N.; Yan, J.; Allen, J.K.; Kang, I.; Wight, T.N.; et al. Postnatal Deletion of the Type II Transforming Growth Factor-β Receptor in Smooth Muscle Cells Causes Severe Aortopathy in Mice. Arterioscler. Thromb. Vasc. Biol. 2015, 35, 2647–2656. [Google Scholar] [CrossRef] [Green Version]
  319. Ye, P.; Chen, W.; Wu, J.; Huang, X.; Li, J.; Wang, S.; Liu, Z.; Wang, G.; Yang, X.; Zhang, P.; et al. GM-CSF contributes to aortic aneurysms resulting from SMAD3 deficiency. J. Clin. Investig. 2013, 123, 2317–2331. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  320. Lindsay, M.E.; Dietz, H.C. Lessons on the pathogenesis of aneurysm from heritable conditions. Nature 2011, 473, 308–316. [Google Scholar] [CrossRef] [Green Version]
  321. Jiang, X.; Rowitch, D.H.; Soriano, P.; McMahon, A.P.; Sucov, H.M. Fate of the mammalian cardiac neural crest. Development 2000, 127, 1607–1616. [Google Scholar]
  322. Buckingham, M.; Meilhac, S.; Zaffran, S. Building the mammalian heart from two sources of myocardial cells. Nat. Rev. Genet. 2005, 6, 826–835. [Google Scholar] [CrossRef]
  323. Sawada, H.; Rateri, D.L.; Moorleghen, J.J.; Majesky, M.W.; Daugherty, A. Smooth Muscle Cells Derived From Second Heart Field and Cardiac Neural Crest Reside in Spatially Distinct Domains in the Media of the Ascending Aorta-Brief Report. Arterioscler. Thromb. Vasc. Biol. 2017, 37, 1722–1726. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  324. Sawada, H.; Chen, J.Z.; Wright, B.C.; Sheppard, M.B.; Lu, H.S.; Daugherty, A. Heterogeneity of Aortic Smooth Muscle Cells: A Determinant for Regional Characteristics of Thoracic Aortic Aneurysms? J. Transl. Int. Med. 2018, 6, 93–96. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  325. Gong, J.; Zhou, D.; Jiang, L.; Qiu, P.; Milewicz, D.M.; Chen, Y.E.; Yang, B. In Vitro Lineage-Specific Differentiation of Vascular Smooth Muscle Cells in Response to SMAD3 Deficiency: Implications for SMAD3-Related Thoracic Aortic Aneurysm. Arterioscler. Thromb. Vasc. Biol. 2020, 40, 1651–1663. [Google Scholar] [CrossRef]
  326. Schepers, D.; Doyle, A.J.; Oswald, G.; Sparks, E.; Myers, L.; Willems, P.J.; Mansour, S.; Simpson, M.A.; Frysira, H.; Maat-Kievit, A.; et al. The SMAD-binding domain of SKI: A hotspot for de novo mutations causing Shprintzen-Goldberg syndrome. Eur. J. Hum. Genet. 2015, 23, 224–228. [Google Scholar] [CrossRef] [PubMed]
  327. Gori, I.; George, R.; Purkiss, A.G.; Strohbuecker, S.; Randall, R.A.; Ogrodowicz, R.; Carmignac, V.; Faivre, L.; Joshi, D.; Kjaer, S.; et al. Mutations in SKI in Shprintzen-Goldberg syndrome lead to attenuated TGF-β responses through SKI stabilization. Elife 2021, 10, eLife.63545. [Google Scholar] [CrossRef]
  328. Meester, J.A.N.; Verstraeten, A.; Alaerts, M.; Schepers, D.; Van Laer, L.; Loeys, B.L. Overlapping but distinct roles for NOTCH receptors in human cardiovascular disease. Clin. Genet. 2019, 95, 85–94. [Google Scholar] [CrossRef]
  329. Koenig, S.N.; LaHaye, S.; Feller, J.D.; Rowland, P.; Hor, K.N.; Trask, A.J.; Janssen, P.M.; Radtke, F.; Lilly, B.; Garg, V. Notch1 haploinsufficiency causes ascending aortic aneurysms in mice. JCI Insight 2017, 2. [Google Scholar] [CrossRef]
  330. Kostina, A.; Bjork, H.; Ignatieva, E.; Irtyuga, O.; Uspensky, V.; Semenova, D.; Maleki, S.; Tomilin, A.; Moiseeva, O.; Franco-Cereceda, A.; et al. Notch, BMP and WNT/β-catenin network is impaired in endothelial cells of the patients with thoracic aortic aneurysm. Atheroscler. Suppl. 2018, 35, e6–e13. [Google Scholar] [CrossRef]
  331. Hans, C.P.; Koenig, S.N.; Huang, N.; Cheng, J.; Beceiro, S.; Guggilam, A.; Kuivaniemi, H.; Partida-Sanchez, S.; Garg, V. Inhibition of Notch1 signaling reduces abdominal aortic aneurysm in mice by attenuating macrophage-mediated inflammation. Arterioscler. Thromb. Vasc. Biol. 2012, 32, 3012–3023. [Google Scholar] [CrossRef] [Green Version]
  332. Cheng, J.; Koenig, S.N.; Kuivaniemi, H.S.; Garg, V.; Hans, C.P. Pharmacological inhibitor of notch signaling stabilizes the progression of small abdominal aortic aneurysm in a mouse model. J. Am. Heart Assoc. 2014, 3, e001064. [Google Scholar] [CrossRef] [Green Version]
  333. Michelena, H.I.; Prakash, S.K.; Della Corte, A.; Bissell, M.M.; Anavekar, N.; Mathieu, P.; Bosse, Y.; Limongelli, G.; Bossone, E.; Benson, D.W.; et al. Bicuspid aortic valve: Identifying knowledge gaps and rising to the challenge from the International Bicuspid Aortic Valve Consortium (BAVCon). Circulation 2014, 129, 2691–2704. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  334. Bravo-Jaimes, K.; Prakash, S.K. Genetics in bicuspid aortic valve disease: Where are we? Prog. Cardiovasc. Dis. 2020, 63, 398–406. [Google Scholar] [CrossRef] [PubMed]
  335. Kent, K.C.; Crenshaw, M.L.; Goh, D.L.; Dietz, H.C. Genotype-phenotype correlation in patients with bicuspid aortic valve and aneurysm. J. Thorac. Cardiovasc. Surg. 2013, 146, 158–165. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  336. Lopez, L.; Arheart, K.L.; Colan, S.D.; Stein, N.S.; Lopez-Mitnik, G.; Lin, A.E.; Reller, M.D.; Ventura, R.; Silberbach, M. Turner syndrome is an independent risk factor for aortic dilation in the young. Pediatrics 2008, 121, e1622–e1627. [Google Scholar] [CrossRef] [PubMed]
  337. Pepe, G.; Nistri, S.; Giusti, B.; Sticchi, E.; Attanasio, M.; Porciani, C.; Abbate, R.; Bonow, R.O.; Yacoub, M.; Gensini, G.F. Identification of fibrillin 1 gene mutations in patients with bicuspid aortic valve (BAV) without Marfan syndrome. BMC Med. Genet. 2014, 15, 23. [Google Scholar] [CrossRef] [Green Version]
  338. Li, R.G.; Xu, Y.J.; Wang, J.; Liu, X.Y.; Yuan, F.; Huang, R.T.; Xue, S.; Li, L.; Liu, H.; Li, Y.J.; et al. GATA4 Loss-of-Function Mutation and the Congenitally Bicuspid Aortic Valve. Am. J. Cardiol. 2018, 121, 469–474. [Google Scholar] [CrossRef]
  339. Shi, L.M.; Tao, J.W.; Qiu, X.B.; Wang, J.; Yuan, F.; Xu, L.; Liu, H.; Li, R.G.; Xu, Y.J.; Wang, Q.; et al. GATA5 loss-of-function mutations associated with congenital bicuspid aortic valve. Int. J. Mol. Med. 2014, 33, 1219–1226. [Google Scholar] [CrossRef] [Green Version]
  340. Xu, Y.J.; Di, R.M.; Qiao, Q.; Li, X.M.; Huang, R.T.; Xue, S.; Liu, X.Y.; Wang, J.; Yang, Y.Q. GATA6 loss-of-function mutation contributes to congenital bicuspid aortic valve. Gene 2018, 663, 115–120. [Google Scholar] [CrossRef]
  341. Qu, X.K.; Qiu, X.B.; Yuan, F.; Wang, J.; Zhao, C.M.; Liu, X.Y.; Zhang, X.L.; Li, R.G.; Xu, Y.J.; Hou, X.M.; et al. A novel NKX2.5 loss-of-function mutation associated with congenital bicuspid aortic valve. Am. J. Cardiol. 2014, 114, 1891–1895. [Google Scholar] [CrossRef]
  342. Gillis, E.; Kumar, A.A.; Luyckx, I.; Preuss, C.; Cannaerts, E.; van de Beek, G.; Wieschendorf, B.; Alaerts, M.; Bolar, N.; Vandeweyer, G.; et al. Corrigendum: Candidate Gene Resequencing in a Large Bicuspid Aortic Valve-Associated Thoracic Aortic Aneurysm Cohort: SMAD6 as an Important Contributor. Front. Physiol. 2017, 8, 730. [Google Scholar] [CrossRef]
  343. Gillis, E.; Kumar, A.A.; Luyckx, I.; Preuss, C.; Cannaerts, E.; van de Beek, G.; Wieschendorf, B.; Alaerts, M.; Bolar, N.; Vandeweyer, G.; et al. Candidate Gene Resequencing in a Large Bicuspid Aortic Valve-Associated Thoracic Aortic Aneurysm Cohort: SMAD6 as an Important Contributor. Front. Physiol. 2017, 8, 400. [Google Scholar] [CrossRef] [PubMed]
  344. Tan, H.L.; Glen, E.; Topf, A.; Hall, D.; O’Sullivan, J.J.; Sneddon, L.; Wren, C.; Avery, P.; Lewis, R.J.; ten Dijke, P.; et al. Nonsynonymous variants in the SMAD6 gene predispose to congenital cardiovascular malformation. Hum. Mutat. 2012, 33, 720–727. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  345. Wunnemann, F.; Ta-Shma, A.; Preuss, C.; Leclerc, S.; van Vliet, P.P.; Oneglia, A.; Thibeault, M.; Nordquist, E.; Lincoln, J.; Scharfenberg, F.; et al. Loss of ADAMTS19 causes progressive non-syndromic heart valve disease. Nat. Genet. 2020, 52, 40–47. [Google Scholar] [CrossRef] [PubMed]
  346. Lin, X.; Liu, X.; Wang, L.; Jiang, J.; Sun, Y.; Zhu, Q.; Chen, Z.; He, Y.; Hu, P.; Xu, Q.; et al. Targeted next-generation sequencing identified ADAMTS5 as novel genetic substrate in patients with bicuspid aortic valve. Int. J. Cardiol. 2018, 252, 150–155. [Google Scholar] [CrossRef] [PubMed]
  347. Luyckx, I.; Kumar, A.A.; Reyniers, E.; Dekeyser, E.; Vanderstraeten, K.; Vandeweyer, G.; Wunnemann, F.; Preuss, C.; Mazzella, J.M.; Goudot, G.; et al. Copy number variation analysis in bicuspid aortic valve-related aortopathy identifies TBX20 as a contributing gene. Eur. J. Hum. Genet. 2019, 27, 1033–1043. [Google Scholar] [CrossRef] [PubMed]
  348. Gould, R.A.; Aziz, H.; Woods, C.E.; Seman-Senderos, M.A.; Sparks, E.; Preuss, C.; Wunnemann, F.; Bedja, D.; Moats, C.R.; McClymont, S.A.; et al. ROBO4 variants predispose individuals to bicuspid aortic valve and thoracic aortic aneurysm. Nat. Genet. 2019, 51, 42–50. [Google Scholar] [CrossRef] [PubMed]
  349. Maleki, S.; Poujade, F.A.; Bergman, O.; Gadin, J.R.; Simon, N.; Lang, K.; Franco-Cereceda, A.; Body, S.C.; Bjorck, H.M.; Eriksson, P. Endothelial/Epithelial Mesenchymal Transition in Ascending Aortas of Patients With Bicuspid Aortic Valve. Front. Cardiovasc. Med. 2019, 6, 182. [Google Scholar] [CrossRef]
  350. Messner, B.; Bernhard, D. Bicuspid aortic valve-associated aortopathy: Where do we stand? J. Mol. Cell Cardiol. 2019, 133, 76–85. [Google Scholar] [CrossRef] [Green Version]
  351. Yamashita, T.; Hayashi, T.; Tabata, T.; Hirata, K.I. Bicuspid Aortic Valve-Associated Aortic Dilatation- What Is the Mechanism of Bicuspid Aortopathy? Circ. J. 2018, 82, 2470–2471. [Google Scholar] [CrossRef]
  352. Lo Presti, F.; Guzzardi, D.G.; Bancone, C.; Fedak, P.W.M.; Della Corte, A. The science of BAV aortopathy. Prog. Cardiovasc. Dis. 2020, 63, 465–474. [Google Scholar] [CrossRef]
  353. Yamashiro, Y.; Yanagisawa, H. Crossing Bridges between Extra- and Intra-Cellular Events in Thoracic Aortic Aneurysms. J. Atheroscler. Thromb. 2018, 25, 99–110. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  354. Pedroza, A.J.; Tashima, Y.; Shad, R.; Cheng, P.; Wirka, R.; Churovich, S.; Nakamura, K.; Yokoyama, N.; Cui, J.Z.; Iosef, C.; et al. Single-Cell Transcriptomic Profiling of Vascular Smooth Muscle Cell Phenotype Modulation in Marfan Syndrome Aortic Aneurysm. Arterioscler. Thromb. Vasc. Biol. 2020, 40, 2195–2211. [Google Scholar] [CrossRef] [PubMed]
  355. Yamashiro, Y.; Yanagisawa, H. The molecular mechanism of mechanotransduction in vascular homeostasis and disease. Clin. Sci. 2020, 134, 2399–2418. [Google Scholar] [CrossRef] [PubMed]
  356. Herrmann, J.; Borkham-Kamphorst, E.; Haas, U.; Van de Leur, E.; Fraga, M.F.; Esteller, M.; Gressner, A.M.; Weiskirchen, R. The expression of CSRP2 encoding the LIM domain protein CRP2 is mediated by TGF-β in smooth muscle and hepatic stellate cells. Biochem. Biophys. Res. Commun. 2006, 345, 1526–1535. [Google Scholar] [CrossRef] [PubMed]
  357. Mori, M.; Nakagami, H.; Koibuchi, N.; Miura, K.; Takami, Y.; Koriyama, H.; Hayashi, H.; Sabe, H.; Mochizuki, N.; Morishita, R.; et al. Zyxin mediates actin fiber reorganization in epithelial-mesenchymal transition and contributes to endocardial morphogenesis. Mol. Biol. Cell 2009, 20, 3115–3124. [Google Scholar] [CrossRef] [Green Version]
  358. Chen, S.; Kulik, M.; Lechleider, R.J. Smad proteins regulate transcriptional induction of the SM22alpha gene by TGF-β. Nucleic Acids Res. 2003, 31, 1302–1310. [Google Scholar] [CrossRef]
  359. Kihara, T.; Sugimoto, Y.; Shinohara, S.; Takaoka, S.; Miyake, J. Cysteine-rich protein 2 accelerates actin filament cluster formation. PLoS ONE 2017, 12, e0183085. [Google Scholar] [CrossRef] [Green Version]
  360. Hoffman, L.M.; Jensen, C.C.; Chaturvedi, A.; Yoshigi, M.; Beckerle, M.C. Stretch-induced actin remodeling requires targeting of zyxin to stress fibers and recruitment of actin regulators. Mol. Biol. Cell 2012, 23, 1846–1859. [Google Scholar] [CrossRef]
  361. Han, X.; Stewart, J.E., Jr.; Bellis, S.L.; Benveniste, E.N.; Ding, Q.; Tachibana, K.; Grammer, J.R.; Gladson, C.L. TGF-beta1 up-regulates paxillin protein expression in malignant astrocytoma cells: Requirement for a fibronectin substrate. Oncogene 2001, 20, 7976–7986. [Google Scholar] [CrossRef] [Green Version]
  362. Kissin, E.Y.; Lemaire, R.; Korn, J.H.; Lafyatis, R. Transforming growth factor β induces fibroblast fibrillin-1 matrix formation. Arthritis Rheum. 2002, 46, 3000–3009. [Google Scholar] [CrossRef]
  363. Kahari, V.M.; Olsen, D.R.; Rhudy, R.W.; Carrillo, P.; Chen, Y.Q.; Uitto, J. Transforming growth factor-β up-regulates elastin gene expression in human skin fibroblasts. Evidence for post-transcriptional modulation. Lab. Invest. 1992, 66, 580–588. [Google Scholar] [PubMed]
  364. Gacheru, S.N.; Thomas, K.M.; Murray, S.A.; Csiszar, K.; Smith-Mungo, L.I.; Kagan, H.M. Transcriptional and post-transcriptional control of lysyl oxidase expression in vascular smooth muscle cells: Effects of TGF-β 1 and serum deprivation. J. Cell Biochem. 1997, 65, 395–407. [Google Scholar] [CrossRef]
  365. Shanley, C.J.; Gharaee-Kermani, M.; Sarkar, R.; Welling, T.H.; Kriegel, A.; Ford, J.W.; Stanley, J.C.; Phan, S.H. Transforming growth factor-β 1 increases lysyl oxidase enzyme activity and mRNA in rat aortic smooth muscle cells. J. Vasc. Surg. 1997, 25, 446–452. [Google Scholar] [CrossRef] [Green Version]
  366. Al-Abcha, A.; Saleh, Y.; Mujer, M.; Boumegouas, M.; Herzallah, K.; Charles, L.; Elkhatib, L.; Abdelkarim, O.; Kehdi, M.; Abela, G.S. Meta-analysis Examining the Usefulness of Angiotensin Receptor blockers for the Prevention of Aortic Root Dilation in Patients With the Marfan Syndrome. Am. J. Cardiol. 2020, 128, 101–106. [Google Scholar] [CrossRef]
  367. Milewicz, D.M.; Ramirez, F. Therapies for Thoracic Aortic Aneurysms and Acute Aortic Dissections. Arterioscler. Thromb. Vasc. Biol. 2019, 39, 126–136. [Google Scholar] [CrossRef] [Green Version]
  368. Lino Cardenas, C.L.; Kessinger, C.W.; MacDonald, C.; Jassar, A.S.; Isselbacher, E.M.; Jaffer, F.A.; Lindsay, M.E. Inhibition of the methyltranferase EZH2 improves aortic performance in experimental thoracic aortic aneurysm. JCI Insight 2018, 3, e97493‎. [Google Scholar] [CrossRef] [Green Version]
  369. Azhar, M.; Schultz Jel, J.; Grupp, I.; Dorn, G.W., 2nd; Meneton, P.; Molin, D.G.; Gittenberger-de Groot, A.C.; Doetschman, T. Transforming growth factor β in cardiovascular development and function. Cytokine Growth Factor Rev. 2003, 14, 391–407. [Google Scholar] [CrossRef] [Green Version]
  370. Chakrabarti, M.; Al-Sammarraie, N.; Gebere, M.G.; Bhattacharya, A.; Chopra, S.; Johnson, J.; Pena, E.A.; Eberth, J.F.; Poelmann, R.E.; Gittenberger-de Groot, A.C.; et al. Transforming Growth Factor Beta3 is Required for Cardiovascular Development. J. Cardiovasc. Dev. Dis. 2020, 7, 19. [Google Scholar] [CrossRef]
  371. Kothapalli, D.; Liu, S.L.; Bae, Y.H.; Monslow, J.; Xu, T.; Hawthorne, E.A.; Byfield, F.J.; Castagnino, P.; Rao, S.; Rader, D.J.; et al. Cardiovascular protection by ApoE and ApoE-HDL linked to suppression of ECM gene expression and arterial stiffening. Cell Rep. 2012, 2, 1259–1271. [Google Scholar] [CrossRef] [Green Version]
  372. Brown, X.Q.; Bartolak-Suki, E.; Williams, C.; Walker, M.L.; Weaver, V.M.; Wong, J.Y. Effect of substrate stiffness and PDGF on the behavior of vascular smooth muscle cells: Implications for atherosclerosis. J. Cell Physiol. 2010, 225, 115–122. [Google Scholar] [CrossRef] [Green Version]
  373. Xie, S.A.; Zhang, T.; Wang, J.; Zhao, F.; Zhang, Y.P.; Yao, W.J.; Hur, S.S.; Yeh, Y.T.; Pang, W.; Zheng, L.S.; et al. Matrix stiffness determines the phenotype of vascular smooth muscle cell in vitro and in vivo: Role of DNA methyltransferase 1. Biomaterials 2018, 155, 203–216. [Google Scholar] [CrossRef] [PubMed]
  374. Vorp, D.A.; Schiro, B.J.; Ehrlich, M.P.; Juvonen, T.S.; Ergin, M.A.; Griffith, B.P. Effect of aneurysm on the tensile strength and biomechanical behavior of the ascending thoracic aorta. Ann. Thorac. Surg. 2003, 75, 1210–1214. [Google Scholar] [CrossRef]
  375. Duprey, A.; Trabelsi, O.; Vola, M.; Favre, J.P.; Avril, S. Biaxial rupture properties of ascending thoracic aortic aneurysms. Acta. Biomater. 2016, 42, 273–285. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  376. Nollen, G.J.; Groenink, M.; Tijssen, J.G.; Van Der Wall, E.E.; Mulder, B.J. Aortic stiffness and diameter predict progressive aortic dilatation in patients with Marfan syndrome. Eur. Heart J. 2004, 25, 1146–1152. [Google Scholar] [CrossRef] [PubMed]
  377. Baumgartner, D.; Baumgartner, C.; Matyas, G.; Steinmann, B.; Loffler-Ragg, J.; Schermer, E.; Schweigmann, U.; Baldissera, I.; Frischhut, B.; Hess, J.; et al. Diagnostic power of aortic elastic properties in young patients with Marfan syndrome. J. Thorac. Cardiovasc. Surg. 2005, 129, 730–739. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  378. Pees, C.; Michel-Behnke, I. Morphology of the bicuspid aortic valve and elasticity of the adjacent aorta in children. Am. J. Cardiol. 2012, 110, 1354–1360. [Google Scholar] [CrossRef] [PubMed]
  379. Oulego-Erroz, I.; Alonso-Quintela, P.; Mora-Matilla, M.; Gautreaux Minaya, S.; Lapena-Lopez de Armentia, S. Ascending aorta elasticity in children with isolated bicuspid aortic valve. Int. J. Cardiol. 2013, 168, 1143–1146. [Google Scholar] [CrossRef]
  380. Teixido-Tura, G.; Redheuil, A.; Rodriguez-Palomares, J.; Gutierrez, L.; Sanchez, V.; Forteza, A.; Lima, J.A.; Garcia-Dorado, D.; Evangelista, A. Aortic biomechanics by magnetic resonance: Early markers of aortic disease in Marfan syndrome regardless of aortic dilatation? Int. J. Cardiol. 2014, 171, 56–61. [Google Scholar] [CrossRef]
  381. Teixido-Tura, G.; Evangelista, A. Response to Letter by Mkrtchyan regarding article: “Aortic biomechanics by magnetic resonance: Early markers of aortic disease in Marfan syndrome regardless of aortic dilatation?”. Int. J. Cardiol. 2014, 176, 287. [Google Scholar] [CrossRef]
  382. Mkrtchyan, N.; Fratz, S. Correspondence letter by Mkrtchyan and Fratz regarding article “aortic biomechanics by magnetic resonance: Early markers of aortic disease in Marfan syndrome regardless of aortic dilatation?”. Int. J. Cardiol. 2014, 174, 381. [Google Scholar] [CrossRef]
  383. Weismann, C.G.; Lombardi, K.C.; Grell, B.S.; Northrup, V.; Sugeng, L. Aortic stiffness and left ventricular diastolic function in children with well-functioning bicuspid aortic valves. Eur. Heart J. Cardiovasc. Imaging 2016, 17, 225–230. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  384. Bellini, C.; Korneva, A.; Zilberberg, L.; Ramirez, F.; Rifkin, D.B.; Humphrey, J.D. Differential ascending and descending aortic mechanics parallel aneurysmal propensity in a mouse model of Marfan syndrome. J. Biomech. 2016, 49, 2383–2389. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  385. Lee, J.J.; Galatioto, J.; Rao, S.; Ramirez, F.; Costa, K.D. Losartan Attenuates Degradation of Aorta and Lung Tissue Micromechanics in a Mouse Model of Severe Marfan Syndrome. Ann. Biomed. Eng. 2016, 44, 2994–3006. [Google Scholar] [CrossRef] [Green Version]
  386. Devos, D.G.; De Groote, K.; Babin, D.; Demulier, L.; Taeymans, Y.; Westenberg, J.J.; Van Bortel, L.; Segers, P.; Achten, E.; De Schepper, J.; et al. Proximal aortic stiffening in Turner patients may be present before dilation can be detected: A segmental functional MRI study. J. Cardiovasc. Magn. Reson. 2017, 19, 27. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  387. Bellini, C.; Bersi, M.R.; Caulk, A.W.; Ferruzzi, J.; Milewicz, D.M.; Ramirez, F.; Rifkin, D.B.; Tellides, G.; Yanagisawa, H.; Humphrey, J.D. Comparison of 10 murine models reveals a distinct biomechanical phenotype in thoracic aortic aneurysms. J. R Soc. Interface 2017, 14, 20161036‎. [Google Scholar] [CrossRef] [Green Version]
  388. Selamet Tierney, E.S.; Levine, J.C.; Sleeper, L.A.; Roman, M.J.; Bradley, T.J.; Colan, S.D.; Chen, S.; Campbell, M.J.; Cohen, M.S.; De Backer, J.; et al. Influence of Aortic Stiffness on Aortic-Root Growth Rate and Outcome in Patients With the Marfan Syndrome. Am. J. Cardiol. 2018, 121, 1094–1101. [Google Scholar] [CrossRef]
  389. Goudot, G.; Mirault, T.; Bruneval, P.; Soulat, G.; Pernot, M.; Messas, E. Aortic Wall Elastic Properties in Case of Bicuspid Aortic Valve. Front. Physiol. 2019, 10, 299. [Google Scholar] [CrossRef]
  390. Chen, J.Z.; Sawada, H.; Moorleghen, J.J.; Weiland, M.; Daugherty, A.; Sheppard, M.B. Aortic Strain Correlates with Elastin Fragmentation in Fibrillin-1 Hypomorphic Mice. Circ. Rep. 2019, 1, 199–205. [Google Scholar] [CrossRef] [Green Version]
  391. Prakash, A.; Adlakha, H.; Rabideau, N.; Hass, C.J.; Morris, S.A.; Geva, T.; Gauvreau, K.; Singh, M.N.; Lacro, R.V. Segmental Aortic Stiffness in Children and Young Adults With Connective Tissue Disorders: Relationships With Age, Aortic Size, Rate of Dilation, and Surgical Root Replacement. Circulation 2015, 132, 595–602. [Google Scholar] [CrossRef]
  392. Guala, A.; Teixido-Tura, G.; Rodriguez-Palomares, J.; Ruiz-Munoz, A.; Dux-Santoy, L.; Villalva, N.; Granato, C.; Galian, L.; Gutierrez, L.; Gonzalez-Alujas, T.; et al. Proximal aorta longitudinal strain predicts aortic root dilation rate and aortic events in Marfan syndrome. Eur. Heart J. 2019, 40, 2047–2055. [Google Scholar] [CrossRef]
  393. de Wit, A.; Vis, K.; Jeremy, R.W. Aortic stiffness in heritable aortopathies: Relationship to aneurysm growth rate. Heart Lung Circ. 2013, 22, 3–11. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  394. Bellini, C.; Ferruzzi, J.; Roccabianca, S.; Di Martino, E.S.; Humphrey, J.D. A microstructurally motivated model of arterial wall mechanics with mechanobiological implications. Ann. Biomed. Eng. 2014, 42, 488–502. [Google Scholar] [CrossRef] [Green Version]
  395. Barnett, B.D.; Bird, H.R.; Lalich, J.J.; Strong, F.M. Toxicity of β-amino-propionitrile for turkey poults. Proc. Soc. Exp. Biol. Med. 1957, 94, 67–70. [Google Scholar] [CrossRef] [PubMed]
  396. Terpin, T.; Roach, M.R. A biophysical and histological analysis of factors that lead to aortic rupture in normal and lathyritic turkeys. Can. J. Physiol. Pharmacol. 1987, 65, 395–400. [Google Scholar] [CrossRef]
  397. Li, J.S.; Li, H.Y.; Wang, L.; Zhang, L.; Jing, Z.P. Comparison of β-aminopropionitrile-induced aortic dissection model in rats by different administration and dosage. Vascular 2013, 21, 287–292. [Google Scholar] [CrossRef] [PubMed]
  398. Lee, C.C.; Lee, M.T.; Chen, Y.S.; Lee, S.H.; Chen, Y.S.; Chen, S.C.; Chang, S.C. Risk of Aortic Dissection and Aortic Aneurysm in Patients Taking Oral Fluoroquinolone. JAMA Intern. Med. 2015, 175, 1839–1847. [Google Scholar] [CrossRef] [PubMed]
  399. LeMaire, S.A.; Zhang, L.; Luo, W.; Ren, P.; Azares, A.R.; Wang, Y.; Zhang, C.; Coselli, J.S.; Shen, Y.H. Effect of Ciprofloxacin on Susceptibility to Aortic Dissection and Rupture in Mice. JAMA Surg. 2018, 153, e181804. [Google Scholar] [CrossRef]
  400. Noman, A.T.; Qazi, A.H.; Alqasrawi, M.; Ayinde, H.; Tleyjeh, I.M.; Lindower, P.; Bin Abdulhak, A.A. Fluoroquinolones and the risk of aortopathy: A systematic review and meta-analysis. Int. J. Cardiol. 2019, 274, 299–302. [Google Scholar] [CrossRef]
  401. Guzzardi, D.G.; Teng, G.; Kang, S.; Geeraert, P.J.; Pattar, S.S.; Svystonyuk, D.A.; Belke, D.D.; Fedak, P.W.M. Induction of human aortic myofibroblast-mediated extracellular matrix dysregulation: A potential mechanism of fluoroquinolone-associated aortopathy. J. Thorac. Cardiovasc. Surg. 2019, 157, 109–119. [Google Scholar] [CrossRef]
  402. Peyton, S.R.; Putnam, A.J. Extracellular matrix rigidity governs smooth muscle cell motility in a biphasic fashion. J. Cell Physiol. 2005, 204, 198–209. [Google Scholar] [CrossRef]
  403. Lindeman, J.H.; Ashcroft, B.A.; Beenakker, J.W.; van Es, M.; Koekkoek, N.B.; Prins, F.A.; Tielemans, J.F.; Abdul-Hussien, H.; Bank, R.A.; Oosterkamp, T.H. Distinct defects in collagen microarchitecture underlie vessel-wall failure in advanced abdominal aneurysms and aneurysms in Marfan syndrome. Proc. Natl. Acad. Sci. USA 2010, 107, 862–865. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  404. Sazonova, O.V.; Lee, K.L.; Isenberg, B.C.; Rich, C.B.; Nugent, M.A.; Wong, J.Y. Cell-cell interactions mediate the response of vascular smooth muscle cells to substrate stiffness. Biophys. J. 2011, 101, 622–630. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  405. Chaterji, S.; Kim, P.; Choe, S.H.; Tsui, J.H.; Lam, C.H.; Ho, D.S.; Baker, A.B.; Kim, D.H. Synergistic effects of matrix nanotopography and stiffness on vascular smooth muscle cell function. Tissue Eng. Part. A 2014, 20, 2115–2126. [Google Scholar] [CrossRef] [PubMed]
  406. Choudhary, B.; Zhou, J.; Li, P.; Thomas, S.; Kaartinen, V.; Sucov, H.M. Absence of TGFbeta signaling in embryonic vascular smooth muscle leads to reduced lysyl oxidase expression, impaired elastogenesis, and aneurysm. Genesis 2009, 47, 115–121. [Google Scholar] [CrossRef]
  407. Choudhary, B.; Ito, Y.; Makita, T.; Sasaki, T.; Chai, Y.; Sucov, H.M. Cardiovascular malformations with normal smooth muscle differentiation in neural crest-specific type II TGFbeta receptor (Tgfbr2) mutant mice. Dev. Biol. 2006, 289, 420–429. [Google Scholar] [CrossRef] [Green Version]
  408. Wei, H.; Hu, J.H.; Angelov, S.N.; Fox, K.; Yan, J.; Enstrom, R.; Smith, A.; Dichek, D.A. Aortopathy in a Mouse Model of Marfan Syndrome Is Not Mediated by Altered Transforming Growth Factor β Signaling. J. Am. Heart Assoc. 2017, 6, e004968. [Google Scholar] [CrossRef]
  409. Qiu, P.; Ritchie, R.P.; Fu, Z.; Cao, D.; Cumming, J.; Miano, J.M.; Wang, D.Z.; Li, H.J.; Li, L. Myocardin enhances Smad3-mediated transforming growth factor-beta1 signaling in a CArG box-independent manner: Smad-binding element is an important cis element for SM22alpha transcription in vivo. Circ. Res. 2005, 97, 983–991. [Google Scholar] [CrossRef] [Green Version]
  410. Kwak, H.J.; Park, M.J.; Cho, H.; Park, C.M.; Moon, S.I.; Lee, H.C.; Park, I.C.; Kim, M.S.; Rhee, C.H.; Hong, S.I. Transforming growth factor-beta1 induces tissue inhibitor of metalloproteinase-1 expression via activation of extracellular signal-regulated kinase and Sp1 in human fibrosarcoma cells. Mol. Cancer Res. 2006, 4, 209–220. [Google Scholar] [CrossRef] [Green Version]
  411. Zhang, X.H.; Zheng, B.; Gu, C.; Fu, J.R.; Wen, J.K. TGF-beta1 downregulates AT1 receptor expression via PKC-delta-mediated Sp1 dissociation from KLF4 and Smad-mediated PPAR-γ association with KLF4. Arterioscler. Thromb. Vasc. Biol. 2012, 32, 1015–1023. [Google Scholar] [CrossRef] [Green Version]
  412. Gomez, D.; Kessler, K.; Borges, L.F.; Richard, B.; Touat, Z.; Ollivier, V.; Mansilla, S.; Bouton, M.C.; Alkoder, S.; Nataf, P.; et al. Smad2-dependent protease nexin-1 overexpression differentiates chronic aneurysms from acute dissections of human ascending aorta. Arterioscler. Thromb. Vasc. Biol. 2013, 33, 2222–2232. [Google Scholar] [CrossRef] [Green Version]
  413. Ferruzzi, J.; Murtada, S.I.; Li, G.; Jiao, Y.; Uman, S.; Ting, M.Y.; Tellides, G.; Humphrey, J.D. Pharmacologically Improved Contractility Protects Against Aortic Dissection in Mice With Disrupted Transforming Growth Factor-β Signaling Despite Compromised Extracellular Matrix Properties. Arterioscler. Thromb. Vasc. Biol. 2016, 36, 919–927. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  414. Ignotz, R.A.; Massague, J. Transforming growth factor-β stimulates the expression of fibronectin and collagen and their incorporation into the extracellular matrix. J. Biol. Chem. 1986, 261, 4337–4345. [Google Scholar] [CrossRef]
  415. Lindahl, G.E.; Chambers, R.C.; Papakrivopoulou, J.; Dawson, S.J.; Jacobsen, M.C.; Bishop, J.E.; Laurent, G.J. Activation of fibroblast procollagen α 1(I) transcription by mechanical strain is transforming growth factor-β-dependent and involves increased binding of CCAAT-binding factor (CBF/NF-Y) at the proximal promoter. J. Biol. Chem. 2002, 277, 6153–6161. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  416. Goel, S.A.; Guo, L.W.; Shi, X.D.; Kundi, R.; Sovinski, G.; Seedial, S.; Liu, B.; Kent, K.C. Preferential secretion of collagen type 3 versus type 1 from adventitial fibroblasts stimulated by TGF-β/Smad3-treated medial smooth muscle cells. Cell Signal. 2013, 25, 955–960. [Google Scholar] [CrossRef] [Green Version]
  417. Hong, H.H.; Trackman, P.C. Cytokine regulation of gingival fibroblast lysyl oxidase, collagen, and elastin. J. Periodontol. 2002, 73, 145–152. [Google Scholar] [CrossRef]
  418. Schonherr, E.; Jarvelainen, H.T.; Sandell, L.J.; Wight, T.N. Effects of platelet-derived growth factor and transforming growth factor-β 1 on the synthesis of a large versican-like chondroitin sulfate proteoglycan by arterial smooth muscle cells. J. Biol. Chem. 1991, 266, 17640–17647. [Google Scholar] [CrossRef]
  419. Wight, T.N. Arterial remodeling in vascular disease: A key role for hyaluronan and versican. Front. Biosci 2008, 13, 4933–4937. [Google Scholar] [CrossRef] [Green Version]
  420. Yang, S.N.; Burch, M.L.; Tannock, L.R.; Evanko, S.; Osman, N.; Little, P.J. Transforming growth factor-β regulation of proteoglycan synthesis in vascular smooth muscle: Contribution to lipid binding and accelerated atherosclerosis in diabetes. J. Diabetes 2010, 2, 233–242. [Google Scholar] [CrossRef] [Green Version]
  421. Rostam, M.A.; Kamato, D.; Piva, T.J.; Zheng, W.; Little, P.J.; Osman, N. The role of specific Smad linker region phosphorylation in TGF-β mediated expression of glycosaminoglycan synthesizing enzymes in vascular smooth muscle. Cell Signal. 2016, 28, 956–966. [Google Scholar] [CrossRef]
  422. Kim, E.S.; Kim, M.S.; Moon, A. TGF-β-induced upregulation of MMP-2 and MMP-9 depends on p38 MAPK, but not ERK signaling in MCF10A human breast epithelial cells. Int. J. Oncol. 2004, 25, 1375–1382. [Google Scholar] [CrossRef]
  423. Safina, A.; Vandette, E.; Bakin, A.V. ALK5 promotes tumor angiogenesis by upregulating matrix metalloproteinase-9 in tumor cells. Oncogene 2007, 26, 2407–2422. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  424. Sinpitaksakul, S.N.; Pimkhaokham, A.; Sanchavanakit, N.; Pavasant, P. TGF-beta1 induced MMP-9 expression in HNSCC cell lines via Smad/MLCK pathway. Biochem. Biophys. Res. Commun. 2008, 371, 713–718. [Google Scholar] [CrossRef] [PubMed]
  425. Cucoranu, I.; Clempus, R.; Dikalova, A.; Phelan, P.J.; Ariyan, S.; Dikalov, S.; Sorescu, D. NAD(P)H oxidase 4 mediates transforming growth factor-beta1-induced differentiation of cardiac fibroblasts into myofibroblasts. Circ. Res. 2005, 97, 900–907. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  426. Samarakoon, R.; Overstreet, J.M.; Higgins, P.J. TGF-β signaling in tissue fibrosis: Redox controls, target genes and therapeutic opportunities. Cell Signal. 2013, 25, 264–268. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  427. Thallas-Bonke, V.; Jandeleit-Dahm, K.A.; Cooper, M.E. Nox-4 and progressive kidney disease. Curr. Opin. Nephrol. Hypertens. 2015, 24, 74–80. [Google Scholar] [CrossRef] [PubMed]
  428. Jimenez-Altayo, F.; Meirelles, T.; Crosas-Molist, E.; Sorolla, M.A.; Del Blanco, D.G.; Lopez-Luque, J.; Mas-Stachurska, A.; Siegert, A.M.; Bonorino, F.; Barbera, L.; et al. Redox stress in Marfan syndrome: Dissecting the role of the NADPH oxidase NOX4 in aortic aneurysm. Free Radic. Biol. Med. 2018, 118, 44–58. [Google Scholar] [CrossRef] [PubMed]
  429. Angelov, S.N.; Hu, J.H.; Wei, H.; Airhart, N.; Shi, M.; Dichek, D.A. TGF-β (Transforming Growth Factor-β) Signaling Protects the Thoracic and Abdominal Aorta From Angiotensin II-Induced Pathology by Distinct Mechanisms. Arterioscler. Thromb. Vasc. Biol. 2017, 37, 2102–2113. [Google Scholar] [CrossRef] [Green Version]
  430. Cook, J.R.; Clayton, N.P.; Carta, L.; Galatioto, J.; Chiu, E.; Smaldone, S.; Nelson, C.A.; Cheng, S.H.; Wentworth, B.M.; Ramirez, F. Dimorphic effects of transforming growth factor-β signaling during aortic aneurysm progression in mice suggest a combinatorial therapy for Marfan syndrome. Arterioscler. Thromb. Vasc. Biol. 2015, 35, 911–917. [Google Scholar] [CrossRef] [Green Version]
  431. Huang, K.; Wang, Y.; Siu, K.L.; Zhang, Y.; Cai, H. Targeting feed-forward signaling of TGFbeta/NOX4/DHFR/eNOS uncoupling/TGFbeta axis with anti-TGFbeta and folic acid attenuates formation of aortic aneurysms: Novel mechanisms and therapeutics. Redox Biol. 2020, 38, 101757. [Google Scholar] [CrossRef]
  432. Holm, T.M.; Habashi, J.P.; Doyle, J.J.; Bedja, D.; Chen, Y.; van Erp, C.; Lindsay, M.E.; Kim, D.; Schoenhoff, F.; Cohn, R.D.; et al. Noncanonical TGFbeta signaling contributes to aortic aneurysm progression in Marfan syndrome mice. Science 2011, 332, 358. [Google Scholar] [CrossRef] [Green Version]
  433. Shen, Y.H.; LeMaire, S.A.; Webb, N.R.; Cassis, L.A.; Daugherty, A.; Lu, H.S. Aortic Aneurysms and Dissections Series: Part II: Dynamic Signaling Responses in Aortic Aneurysms and Dissections. Arterioscler. Thromb. Vasc. Biol. 2020, 40, e78–e86. [Google Scholar] [CrossRef] [PubMed]
  434. Moltzer, E.; te Riet, L.; Swagemakers, S.M.; van Heijningen, P.M.; Vermeij, M.; van Veghel, R.; Bouhuizen, A.M.; van Esch, J.H.; Lankhorst, S.; Ramnath, N.W.; et al. Impaired vascular contractility and aortic wall degeneration in fibulin-4 deficient mice: Effect of angiotensin II type 1 (AT1) receptor blockade. PLoS ONE 2011, 6, e23411. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  435. Xiong, W.; Meisinger, T.; Knispel, R.; Worth, J.M.; Baxter, B.T. MMP-2 regulates Erk1/2 phosphorylation and aortic dilatation in Marfan syndrome. Circ. Res. 2012, 110, e92–e101. [Google Scholar] [CrossRef] [Green Version]
  436. Kuang, S.Q.; Geng, L.; Prakash, S.K.; Cao, J.M.; Guo, S.; Villamizar, C.; Kwartler, C.S.; Peters, A.M.; Brasier, A.R.; Milewicz, D.M. Aortic remodeling after transverse aortic constriction in mice is attenuated with AT1 receptor blockade. Arterioscler. Thromb. Vasc. Biol. 2013, 33, 2172–2179. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  437. Galatioto, J.; Caescu, C.I.; Hansen, J.; Cook, J.R.; Miramontes, I.; Iyengar, R.; Ramirez, F. Cell Type-Specific Contributions of the Angiotensin II Type 1a Receptor to Aorta Homeostasis and Aneurysmal Disease-Brief Report. Arterioscler. Thromb. Vasc. Biol. 2018, 38, 588–591. [Google Scholar] [CrossRef] [Green Version]
  438. Chen, J.Z.; Sawada, H.; Moorleghen, J.J.; Franklin, M.K.; Howatt, D.A.; Sheppard, M.B.; Mullick, A.E.; Lu, H.S.; Daugherty, A. Inhibition of Angiotensin II Dependent AT1a Receptor Stimulation Attenuates Thoracic Aortic Pathology in Fibrillin-1C1041G/+Mice. bioRxiv 2020. [Google Scholar]
  439. Habashi, J.P.; Doyle, J.J.; Holm, T.M.; Aziz, H.; Schoenhoff, F.; Bedja, D.; Chen, Y.; Modiri, A.N.; Judge, D.P.; Dietz, H.C. Angiotensin II type 2 receptor signaling attenuates aortic aneurysm in mice through ERK antagonism. Science 2011, 332, 361–365. [Google Scholar] [CrossRef]
  440. Papakonstantinou, E.; Roth, M.; Kokkas, B.; Papadopoulos, C.; Karakiulakis, G. Losartan inhibits the angiotensin II-induced modifications on fibrinolysis and matrix deposition by primary human vascular smooth muscle cells. J. Cardiovasc. Pharmacol. 2001, 38, 715–728. [Google Scholar] [CrossRef] [Green Version]
  441. Muino-Mosquera, L.; De Nobele, S.; Devos, D.; Campens, L.; De Paepe, A.; De Backer, J. Efficacy of losartan as add-on therapy to prevent aortic growth and ventricular dysfunction in patients with Marfan syndrome: A randomized, double-blind clinical trial. Acta Cardiol. 2017, 72, 616–624. [Google Scholar] [CrossRef]
  442. Chiu, H.H.; Wu, M.H.; Wang, J.K.; Lu, C.W.; Chiu, S.N.; Chen, C.A.; Lin, M.T.; Hu, F.C. Losartan added to β-blockade therapy for aortic root dilation in Marfan syndrome: A randomized, open-label pilot study. Mayo Clin. Proc. 2013, 88, 271–276. [Google Scholar] [CrossRef]
  443. Teixido-Tura, G.; Forteza, A.; Rodriguez-Palomares, J.; Gonzalez Mirelis, J.; Gutierrez, L.; Sanchez, V.; Ibanez, B.; Garcia-Dorado, D.; Evangelista, A. Losartan Versus Atenolol for Prevention of Aortic Dilation in Patients With Marfan Syndrome. J. Am. Coll Cardiol 2018, 72, 1613–1618. [Google Scholar] [CrossRef] [PubMed]
  444. Li, L.; Yamani, N.; Al-Naimat, S.; Khurshid, A.; Usman, M.S. Role of losartan in prevention of aortic dilatation in Marfan syndrome: A systematic review and meta-analysis. Eur. J. Prev. Cardiol 2020, 27, 1447–1450. [Google Scholar] [CrossRef] [PubMed]
  445. Jondeau, G.; Milleron, O.; Boileau, C. Marfan sartan saga, episode X. Eur. Heart J. 2020. [Google Scholar] [CrossRef] [PubMed]
  446. Lacro, R.V.; Dietz, H.C.; Sleeper, L.A.; Yetman, A.T.; Bradley, T.J.; Colan, S.D.; Pearson, G.D.; Selamet Tierney, E.S.; Levine, J.C.; Atz, A.M.; et al. Atenolol versus losartan in children and young adults with Marfan’s syndrome. N. Engl. J. Med. 2014, 371, 2061–2071. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  447. Milleron, O.; Arnoult, F.; Ropers, J.; Aegerter, P.; Detaint, D.; Delorme, G.; Attias, D.; Tubach, F.; Dupuis-Girod, S.; Plauchu, H.; et al. Marfan Sartan: A randomized, double-blind, placebo-controlled trial. Eur. Heart J. 2015, 36, 2160–2166. [Google Scholar] [CrossRef] [Green Version]
  448. Forteza, A.; Evangelista, A.; Sanchez, V.; Teixido-Tura, G.; Sanz, P.; Gutierrez, L.; Gracia, T.; Centeno, J.; Rodriguez-Palomares, J.; Rufilanchas, J.J.; et al. Efficacy of losartan vs. atenolol for the prevention of aortic dilation in Marfan syndrome: A randomized clinical trial. Eur. Heart J. 2016, 37, 978–985. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  449. Franken, R.; den Hartog, A.W.; Radonic, T.; Micha, D.; Maugeri, A.; van Dijk, F.S.; Meijers-Heijboer, H.E.; Timmermans, J.; Scholte, A.J.; van den Berg, M.P.; et al. Beneficial Outcome of Losartan Therapy Depends on Type of FBN1 Mutation in Marfan Syndrome. Circ. Cardiovasc. Genet. 2015, 8, 383–388. [Google Scholar] [CrossRef] [Green Version]
  450. Groenink, M.; den Hartog, A.W.; Franken, R.; Radonic, T.; de Waard, V.; Timmermans, J.; Scholte, A.J.; van den Berg, M.P.; Spijkerboer, A.M.; Marquering, H.A.; et al. Losartan reduces aortic dilatation rate in adults with Marfan syndrome: A randomized controlled trial. Eur. Heart J. 2013, 34, 3491–3500. [Google Scholar] [CrossRef] [Green Version]
  451. Milewicz, D.M.; Prakash, S.K.; Ramirez, F. Therapeutics Targeting Drivers of Thoracic Aortic Aneurysms and Acute Aortic Dissections: Insights from Predisposing Genes and Mouse Models. Annu. Rev. Med. 2017, 68, 51–67. [Google Scholar] [CrossRef] [Green Version]
  452. Ford, C.M.; Li, S.; Pickering, J.G. Angiotensin II stimulates collagen synthesis in human vascular smooth muscle cells. Involvement of the AT(1) receptor, transforming growth factor-β, and tyrosine phosphorylation. Arterioscler. Thromb. Vasc. Biol. 1999, 19, 1843–1851. [Google Scholar] [CrossRef] [Green Version]
  453. Che, Z.Q.; Gao, P.J.; Shen, W.L.; Fan, C.L.; Liu, J.J.; Zhu, D.L. Angiotensin II-stimulated collagen synthesis in aortic adventitial fibroblasts is mediated by connective tissue growth factor. Hypertens. Res. 2008, 31, 1233–1240. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  454. Milewicz, D.M.; Guo, D.C.; Tran-Fadulu, V.; Lafont, A.L.; Papke, C.L.; Inamoto, S.; Kwartler, C.S.; Pannu, H. Genetic basis of thoracic aortic aneurysms and dissections: Focus on smooth muscle cell contractile dysfunction. Annu. Rev. Genomics Hum. Genet. 2008, 9, 283–302. [Google Scholar] [CrossRef] [PubMed]
  455. Muino-Mosquera, L.; De Backer, J. Angiotensin-II receptor blockade in Marfan syndrome. Lancet 2019, 394, 2206–2207. [Google Scholar] [CrossRef] [Green Version]
  456. Abraham, H.M.; White, C.M.; White, W.B. The comparative efficacy and safety of the angiotensin receptor blockers in the management of hypertension and other cardiovascular diseases. Drug Saf. 2015, 38, 33–54. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  457. Nair, A.B.; Jacob, S. A simple practice guide for dose conversion between animals and human. J. Basic Clin. Pharm. 2016, 7, 27–31. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  458. Mullen, M.; Jin, X.Y.; Child, A.; Stuart, A.G.; Dodd, M.; Aragon-Martin, J.A.; Gaze, D.; Kiotsekoglou, A.; Yuan, L.; Hu, J.; et al. Irbesartan in Marfan syndrome (AIMS): A double-blind, placebo-controlled randomised trial. Lancet 2019, 394, 2263–2270. [Google Scholar] [CrossRef] [Green Version]
  459. Whelton, P.K.; Carey, R.M.; Aronow, W.S.; Casey, D.E., Jr.; Collins, K.J.; Dennison Himmelfarb, C.; DePalma, S.M.; Gidding, S.; Jamerson, K.A.; Jones, D.W.; et al. 2017 ACC/AHA/AAPA/ABC/ACPM/AGS/APhA/ASH/ASPC/NMA/PCNA Guideline for the Prevention, Detection, Evaluation, and Management of High Blood Pressure in Adults: Executive Summary: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. J. Am. Coll. Cardiol. 2018, 71, 2199–2269. [Google Scholar]
  460. van Andel, M.M.; Indrakusuma, R.; Jalalzadeh, H.; Balm, R.; Timmermans, J.; Scholte, A.J.; van den Berg, M.P.; Zwinderman, A.H.; Mulder, B.J.M.; de Waard, V.; et al. Long-term clinical outcomes of losartan in patients with Marfan syndrome: Follow-up of the multicentre randomized controlled COMPARE trial. Eur. Heart J. 2020, 41, 4181–4187. [Google Scholar] [CrossRef]
  461. Jana, S.; Hu, M.; Shen, M.; Kassiri, Z. Extracellular matrix, regional heterogeneity of the aorta, and aortic aneurysm. Exp. Mol. Med. 2019, 51, 1–15. [Google Scholar] [CrossRef] [Green Version]
  462. Ko, Y.S.; Coppen, S.R.; Dupont, E.; Rothery, S.; Severs, N.J. Regional differentiation of desmin, connexin43, and connexin45 expression patterns in rat aortic smooth muscle. Arterioscler. Thromb. Vasc. Biol. 2001, 21, 355–364. [Google Scholar] [CrossRef] [Green Version]
  463. Absi, T.S.; Sundt, T.M., 3rd; Tung, W.S.; Moon, M.; Lee, J.K.; Damiano, R.R., Jr.; Thompson, R.W. Altered patterns of gene expression distinguishing ascending aortic aneurysms from abdominal aortic aneurysms: Complementary DNA expression profiling in the molecular characterization of aortic disease. J. Thorac. Cardiovasc. Surg. 2003, 126, 344–357. [Google Scholar] [CrossRef] [Green Version]
  464. Sinha, I.; Bethi, S.; Cronin, P.; Williams, D.M.; Roelofs, K.; Ailawadi, G.; Henke, P.K.; Eagleton, M.J.; Deeb, G.M.; Patel, H.J.; et al. A biologic basis for asymmetric growth in descending thoracic aortic aneurysms: A role for matrix metalloproteinase 9 and 2. J. Vasc. Surg. 2006, 43, 342–348. [Google Scholar] [CrossRef] [Green Version]
  465. Majesky, M.W. Choosing Smads: Smooth muscle origin-specific transforming growth factor-β signaling. Circ. Res. 2013, 113, 946–948. [Google Scholar] [CrossRef] [Green Version]
  466. Majesky, M.W. Developmental basis of vascular smooth muscle diversity. Arterioscler. Thromb. Vasc. Biol. 2007, 27, 1248–1258. [Google Scholar] [CrossRef] [Green Version]
  467. Trigueros-Motos, L.; Gonzalez-Granado, J.M.; Cheung, C.; Fernandez, P.; Sanchez-Cabo, F.; Dopazo, A.; Sinha, S.; Andres, V. Embryological-origin-dependent differences in homeobox expression in adult aorta: Role in regional phenotypic variability and regulation of NF-kappaB activity. Arterioscler. Thromb. Vasc. Biol. 2013, 33, 1248–1256. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  468. Pfaltzgraff, E.R.; Bader, D.M. Heterogeneity in vascular smooth muscle cell embryonic origin in relation to adult structure, physiology, and disease. Dev. Dyn. 2015, 244, 410–416. [Google Scholar] [CrossRef] [Green Version]
  469. Le Lievre, C.S.; Le Douarin, N.M. Mesenchymal derivatives of the neural crest: Analysis of chimaeric quail and chick embryos. J. Embryol. Exp. Morphol. 1975, 34, 125–154. [Google Scholar]
  470. Christ, B.; Huang, R.; Scaal, M. Formation and differentiation of the avian sclerotome. Anat. Embryol. (Berl.) 2004, 208, 333–350. [Google Scholar] [CrossRef] [PubMed]
  471. Kelly, R.G.; Buckingham, M.E.; Moorman, A.F. Heart fields and cardiac morphogenesis. Cold Spring Harb. Perspect. Med. 2014, 4, a015750. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  472. Waldo, K.L.; Hutson, M.R.; Ward, C.C.; Zdanowicz, M.; Stadt, H.A.; Kumiski, D.; Abu-Issa, R.; Kirby, M.L. Secondary heart field contributes myocardium and smooth muscle to the arterial pole of the developing heart. Dev. Biol. 2005, 281, 78–90. [Google Scholar] [CrossRef] [Green Version]
  473. Srivastava, D. Making or breaking the heart: From lineage determination to morphogenesis. Cell 2006, 126, 1037–1048. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  474. Pouget, C.; Gautier, R.; Teillet, M.A.; Jaffredo, T. Somite-derived cells replace ventral aortic hemangioblasts and provide aortic smooth muscle cells of the trunk. Development 2006, 133, 1013–1022. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  475. Wasteson, P.; Johansson, B.R.; Jukkola, T.; Breuer, S.; Akyurek, L.M.; Partanen, J.; Lindahl, P. Developmental origin of smooth muscle cells in the descending aorta in mice. Development 2008, 135, 1823–1832. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  476. Gadson, P.F., Jr.; Rossignol, C.; McCoy, J.; Rosenquist, T.H. Expression of elastin, smooth muscle α-actin, and c-jun as a function of the embryonic lineage of vascular smooth muscle cells. In Vitro Cell Dev. Biol. Anim. 1993, 29A, 773–781. [Google Scholar] [CrossRef]
  477. Topouzis, S.; Catravas, J.D.; Ryan, J.W.; Rosenquist, T.H. Influence of vascular smooth muscle heterogeneity on angiotensin converting enzyme activity in chicken embryonic aorta and in endothelial cells in culture. Circ. Res. 1992, 71, 923–931. [Google Scholar] [CrossRef] [Green Version]
  478. Topouzis, S.; Majesky, M.W. Smooth muscle lineage diversity in the chick embryo. Two types of aortic smooth muscle cell differ in growth and receptor-mediated transcriptional responses to transforming growth factor-β. Dev. Biol. 1996, 178, 430–445. [Google Scholar] [CrossRef]
  479. Wrenn, R.W.; Raeuber, C.L.; Herman, L.E.; Walton, W.J.; Rosenquist, T.H. Transforming growth factor-β: Signal transduction via protein kinase C in cultured embryonic vascular smooth muscle cells. In Vitro Cell Dev. Biol. 1993, 29A, 73–78. [Google Scholar] [CrossRef]
  480. Thieszen, S.L.; Dalton, M.; Gadson, P.F.; Patterson, E.; Rosenquist, T.H. Embryonic lineage of vascular smooth muscle cells determines responses to collagen matrices and integrin receptor expression. Exp. Cell Res. 1996, 227, 135–145. [Google Scholar] [CrossRef]
  481. Gadson, P.F., Jr.; Dalton, M.L.; Patterson, E.; Svoboda, D.D.; Hutchinson, L.; Schram, D.; Rosenquist, T.H. Differential response of mesoderm- and neural crest-derived smooth muscle to TGF-beta1: Regulation of c-myb and alpha1 (I) procollagen genes. Exp. Cell Res. 1997, 230, 169–180. [Google Scholar] [CrossRef]
  482. Gittenberger-de Groot, A.C.; DeRuiter, M.C.; Bergwerff, M.; Poelmann, R.E. Smooth muscle cell origin and its relation to heterogeneity in development and disease. Arterioscler. Thromb. Vasc. Biol. 1999, 19, 1589–1594. [Google Scholar] [CrossRef] [Green Version]
  483. Aird, W.C. Endothelial cell heterogeneity. Cold Spring Harb. Perspect. Med. 2012, 2, a006429. [Google Scholar] [CrossRef] [PubMed]
  484. Ishii, Y.; Langberg, J.; Rosborough, K.; Mikawa, T. Endothelial cell lineages of the heart. Cell Tissue Res. 2009, 335, 67–73. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  485. Kalluri, A.S.; Vellarikkal, S.K.; Edelman, E.R.; Nguyen, L.; Subramanian, A.; Ellinor, P.T.; Regev, A.; Kathiresan, S.; Gupta, R.M. Single-Cell Analysis of the Normal Mouse Aorta Reveals Functionally Distinct Endothelial Cell Populations. Circulation 2019, 140, 147–163. [Google Scholar] [CrossRef] [PubMed]
  486. Warkala, M.; Chen, D.; Ramirez, A.; Jubran, A.; Schonning, M.J.; Wang, X.; Zhao, H.; Astrof, S. Cell—ECM Interactions Play Multiple Essential Roles in Aortic Arch Development. Circ. Res. 2020. [Google Scholar] [CrossRef] [PubMed]
  487. Cheung, C.; Bernardo, A.S.; Trotter, M.W.; Pedersen, R.A.; Sinha, S. Generation of human vascular smooth muscle subtypes provides insight into embryological origin-dependent disease susceptibility. Nat. Biotechnol. 2012, 30, 165–173. [Google Scholar] [CrossRef] [Green Version]
  488. Sinha, S.; Iyer, D.; Granata, A. Embryonic origins of human vascular smooth muscle cells: Implications for in vitro modeling and clinical application. Cell Mol. Life Sci. 2014, 71, 2271–2288. [Google Scholar] [CrossRef] [Green Version]
  489. Granata, A.; Bernard, W.G.; Zhao, N.; McCafferty, J.; Lilly, B.; Sinha, S. Temporal and embryonic lineage-dependent regulation of human vascular SMC development by NOTCH3. Stem Cells Dev. 2015, 24, 846–856. [Google Scholar] [CrossRef] [Green Version]
  490. Bargehr, J.; Low, L.; Cheung, C.; Bernard, W.G.; Iyer, D.; Bennett, M.R.; Gambardella, L.; Sinha, S. Embryological Origin of Human Smooth Muscle Cells Influences Their Ability to Support Endothelial Network Formation. Stem Cells Transl. Med. 2016, 5, 946–959. [Google Scholar] [CrossRef] [Green Version]
  491. Jiao, J.; Xiong, W.; Wang, L.; Yang, J.; Qiu, P.; Hirai, H.; Shao, L.; Milewicz, D.; Chen, Y.E.; Yang, B. Differentiation defect in neural crest-derived smooth muscle cells in patients with aortopathy associated with bicuspid aortic valves. EBioMedicine 2016, 10, 282–290. [Google Scholar] [CrossRef] [Green Version]
  492. Granata, A.; Serrano, F.; Bernard, W.G.; McNamara, M.; Low, L.; Sastry, P.; Sinha, S. An iPSC-derived vascular model of Marfan syndrome identifies key mediators of smooth muscle cell death. Nat. Genet. 2017, 49, 97–109. [Google Scholar] [CrossRef] [Green Version]
  493. Grewal, N.; Gittenberger-de Groot, A.C.; Poelmann, R.E.; Klautz, R.J.; Lindeman, J.H.; Goumans, M.J.; Palmen, M.; Mohamed, S.A.; Sievers, H.H.; Bogers, A.J.; et al. Ascending aorta dilation in association with bicuspid aortic valve: A maturation defect of the aortic wall. J. Thorac. Cardiovasc. Surg. 2014, 148, 1583–1590. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  494. Crosas-Molist, E.; Meirelles, T.; Lopez-Luque, J.; Serra-Peinado, C.; Selva, J.; Caja, L.; Gorbenko Del Blanco, D.; Uriarte, J.J.; Bertran, E.; Mendizabal, Y.; et al. Vascular smooth muscle cell phenotypic changes in patients with Marfan syndrome. Arterioscler. Thromb. Vasc. Biol. 2015, 35, 960–972. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  495. Sun, Y.; Zhao, Z.; Hou, L.; Xiao, Y.; Qin, F.; Yan, J.; Zhou, J.; Jing, Z. The regulatory role of smooth muscle 22 on the proliferation of aortic smooth muscle cells participates in the development of aortic dissection. J. Vasc. Surg. 2017, 66, 875–882. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  496. Zhang, L.; Yu, C.; Chang, Q.; Luo, X.; Qiu, J.; Liu, S. Comparison of gene expression profiles in aortic dissection and normal human aortic tissues. Biomed. Rep. 2016, 5, 421–427. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  497. Li, Y.; Ren, P.; Dawson, A.; Vasquez, H.G.; Ageedi, W.; Zhang, C.; Luo, W.; Chen, R.; Li, Y.; Kim, S.; et al. Single-Cell Transcriptome Analysis Reveals Dynamic Cell Populations and Differential Gene Expression Patterns in Control and Aneurysmal Human Aortic Tissue. Circulation 2020, 142, 1374–1388. [Google Scholar] [CrossRef]
  498. Avril, S.; Bersi, M.R.; Bellini, C.; Genovese, K.; Humphrey, J.D. Regional identification of mechanical properties in arteries. Comput Methods Biomech. Biomed. Engin. 2015, 18 Suppl 1, 1874–1875. [Google Scholar] [CrossRef] [Green Version]
  499. Halloran, B.G.; Davis, V.A.; McManus, B.M.; Lynch, T.G.; Baxter, B.T. Localization of aortic disease is associated with intrinsic differences in aortic structure. J. Surg. Res. 1995, 59, 17–22. [Google Scholar] [CrossRef]
  500. Bell, V.; Mitchell, G.F. Influence of vascular function and pulsatile hemodynamics on cardiac function. Curr. Hypertens. Rep. 2015, 17, 580. [Google Scholar] [CrossRef]
  501. Beller, C.J.; Labrosse, M.R.; Thubrikar, M.J.; Robicsek, F. Role of aortic root motion in the pathogenesis of aortic dissection. Circulation 2004, 109, 763–769. [Google Scholar] [CrossRef] [Green Version]
  502. Roccabianca, S.; Figueroa, C.A.; Tellides, G.; Humphrey, J.D. Quantification of regional differences in aortic stiffness in the aging human. J. Mech. Behav. Biomed. Mater. 2014, 29, 618–634. [Google Scholar] [CrossRef] [Green Version]
  503. Bell, V.; Mitchell, W.A.; Sigurethsson, S.; Westenberg, J.J.; Gotal, J.D.; Torjesen, A.A.; Aspelund, T.; Launer, L.J.; de Roos, A.; Gudnason, V.; et al. Longitudinal and circumferential strain of the proximal aorta. J. Am. Heart Assoc. 2014, 3, e001536. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  504. Bersi, M.R.; Bellini, C.; Humphrey, J.D.; Avril, S. Local variations in material and structural properties characterize murine thoracic aortic aneurysm mechanics. Biomech. Model. Mechanobiol 2019, 18, 203–218. [Google Scholar] [CrossRef]
  505. Yu, X.; Turcotte, R.; Seta, F.; Zhang, Y. Micromechanics of elastic lamellae: Unravelling the role of structural inhomogeneity in multi-scale arterial mechanics. J. R Soc. Interface 2018, 15, 20180492. [Google Scholar] [CrossRef] [PubMed]
  506. Yu, X.; Wang, Y.; Zhang, Y. Transmural variation in elastin fiber orientation distribution in the arterial wall. J. Mech Behav Biomed. Mater. 2018, 77, 745–753. [Google Scholar] [CrossRef] [PubMed]
  507. Michel, J.B.; Thaunat, O.; Houard, X.; Meilhac, O.; Caligiuri, G.; Nicoletti, A. Topological determinants and consequences of adventitial responses to arterial wall injury. Arterioscler. Thromb. Vasc. Biol. 2007, 27, 1259–1268. [Google Scholar] [CrossRef] [Green Version]
Figure 1. Organization of the aortic wall and representation of molecular pathways affected in hereditary aneurysm disorders. (A) Schematic representation of the thoracic aorta magnified to illustrate the composition of the three aortic layers, cell types, and intracellular features of vascular smooth muscle cells (VSMCs). The aortic media is composed of alternating layers of VSMCs and elastic lamellae. Integrins link the actin cytoskeleton to elastic fibers and other extracellular matrix components (ECM). Cadherin and gap junctions allow sharing of mechanical and biochemical information between adjacent cells. (B) Representation of molecular components involved in the transmission of mechanical and biochemical information in the vascular wall. Causal mutations for hereditary thoracic aortic aneurysm (TAA) have been found in proteins coded by genes noted in red. Elastic fibers are composed of a core of elastin surrounded by microfibrils; although fibrillin-1 is the main component of microfibrils, they also include other glycoproteins such as microfibril-associated glycoproteins and fibulins. Maturation of elastic fibers requires lysyl oxidase enzymatic activity, which catalyzes a crosslinking reaction between monomers of tropoelastin. Mechanical stimuli are transmitted from the elastic fibers to the VSMCs via integrins, which are heterodimeric transmembrane proteins that bind to matrix proteins, including fibrillin-1, via multi-protein complexes called focal adhesions. Focal adhesions contain several adaptor proteins anchoring integrins to the actin and myosin cytoskeleton and to the linker of nucleoskeleton and cytoskeleton (LINC) complex. Myosin light chain kinase (MLCK) promotes contraction by phosphorylation of myosin regulatory light chain (RLC), whereas myosin light chain phosphatase (MLCP) dephosphorylates RLC and promotes relaxation. Integrins transfer mechanical inputs from the cytoskeleton to the ECM and from the ECM to the cytoskeleton. Integrin engagement promotes the polymerization of globular actin (G-actin) into actin filaments (F-actin). Several signaling molecules are regulated by focal adhesions, including focal adhesion kinase (FAK), mitogen-activated protein kinases (MAPK), Akt, Rac and Rho GTPases, and Yes-associated protein (YAP). Transforming growth factor-β (TGF-β) ligands are secreted as inactive latent complexes that are converted into a bioactive TGF-β ligand by chemical, mechanical, and enzymatic processes in the ECM. TGF-β ligand binds to the TGF-β receptor complex and induces the phosphorylation of Smad2 and Smad3. Then, phosphorylated Smad2 and Smad3 (pSmad2/3) can bind to Smad4 and translocate to the nucleus, where they regulate TGF-β responsive genes. Sloan-Kettering Institute (SKI) is a repressor of TGF-β signaling that inhibits the association of pSmad2/3 with Smad4, and with other transcriptional co-regulators such as p300. The binding of Notch to its cognate receptor induces a conformational change that triggers multiple proteolytic processing steps that release the Notch intracellular domain (NICD) from the membrane and promote its translocation to the nucleus, where it regulates transcription via interaction with other factors.
Figure 1. Organization of the aortic wall and representation of molecular pathways affected in hereditary aneurysm disorders. (A) Schematic representation of the thoracic aorta magnified to illustrate the composition of the three aortic layers, cell types, and intracellular features of vascular smooth muscle cells (VSMCs). The aortic media is composed of alternating layers of VSMCs and elastic lamellae. Integrins link the actin cytoskeleton to elastic fibers and other extracellular matrix components (ECM). Cadherin and gap junctions allow sharing of mechanical and biochemical information between adjacent cells. (B) Representation of molecular components involved in the transmission of mechanical and biochemical information in the vascular wall. Causal mutations for hereditary thoracic aortic aneurysm (TAA) have been found in proteins coded by genes noted in red. Elastic fibers are composed of a core of elastin surrounded by microfibrils; although fibrillin-1 is the main component of microfibrils, they also include other glycoproteins such as microfibril-associated glycoproteins and fibulins. Maturation of elastic fibers requires lysyl oxidase enzymatic activity, which catalyzes a crosslinking reaction between monomers of tropoelastin. Mechanical stimuli are transmitted from the elastic fibers to the VSMCs via integrins, which are heterodimeric transmembrane proteins that bind to matrix proteins, including fibrillin-1, via multi-protein complexes called focal adhesions. Focal adhesions contain several adaptor proteins anchoring integrins to the actin and myosin cytoskeleton and to the linker of nucleoskeleton and cytoskeleton (LINC) complex. Myosin light chain kinase (MLCK) promotes contraction by phosphorylation of myosin regulatory light chain (RLC), whereas myosin light chain phosphatase (MLCP) dephosphorylates RLC and promotes relaxation. Integrins transfer mechanical inputs from the cytoskeleton to the ECM and from the ECM to the cytoskeleton. Integrin engagement promotes the polymerization of globular actin (G-actin) into actin filaments (F-actin). Several signaling molecules are regulated by focal adhesions, including focal adhesion kinase (FAK), mitogen-activated protein kinases (MAPK), Akt, Rac and Rho GTPases, and Yes-associated protein (YAP). Transforming growth factor-β (TGF-β) ligands are secreted as inactive latent complexes that are converted into a bioactive TGF-β ligand by chemical, mechanical, and enzymatic processes in the ECM. TGF-β ligand binds to the TGF-β receptor complex and induces the phosphorylation of Smad2 and Smad3. Then, phosphorylated Smad2 and Smad3 (pSmad2/3) can bind to Smad4 and translocate to the nucleus, where they regulate TGF-β responsive genes. Sloan-Kettering Institute (SKI) is a repressor of TGF-β signaling that inhibits the association of pSmad2/3 with Smad4, and with other transcriptional co-regulators such as p300. The binding of Notch to its cognate receptor induces a conformational change that triggers multiple proteolytic processing steps that release the Notch intracellular domain (NICD) from the membrane and promote its translocation to the nucleus, where it regulates transcription via interaction with other factors.
Genes 12 00183 g001
Figure 2. A model for hereditary aneurysm pathogenesis. Defective assembly of connections between elastic fibers and VSMCs initiates their phenotypic switch toward a proteolytic phenotype that promotes medial degeneration. The pathogenic process can be initiated by genetic mutations (red lightening) that directly target ECM structures or intracellular components necessary for the assembly/function of focal adhesions, including cytoskeletal components necessary for force-dependent focal adhesion maturation. It can also be initiated by mutations that target signaling pathways, such as TGF-β and Notch signaling, which modulate the expression of components of the focal adhesion machinery (ECM components, adaptor/anchoring proteins such as zyxin and paxillin, and actin-binding proteins such as Sm22). Opportunity to establish proper connections between VSMCs and the ECM may be developmentally restricted, given that adult VSMCs have limited ability to elaborate and organize components of the elastic fibers. Dysfunctional signaling downstream of focal adhesions would promote phenotypic switching, inducing a downregulation of contractile proteins, upregulation of metalloproteinases, and other matrix proteins, such as thrombospondin-1, that positively regulate AT1R and TGF-β signaling, further exacerbating ECM pathogenic remodeling. The activation of AT1R signaling and AT1R-dependent upregulation of TGF-β signaling would result in the deposition of collagen, accumulation of proteoglycans, and production metalloproteinases and reactive oxygen species (ROS). TGF-β signaling is modeled as protective at early stages of disease, when it may promote the restoration of ECM–VSMC interaction, and progressively more pathogenic when the establishment of ECM–VSMC interaction is no longer developmentally possible, and TGF-β promotes the deposition of proteoglycans and glycosaminoglycans, and production of ROS.
Figure 2. A model for hereditary aneurysm pathogenesis. Defective assembly of connections between elastic fibers and VSMCs initiates their phenotypic switch toward a proteolytic phenotype that promotes medial degeneration. The pathogenic process can be initiated by genetic mutations (red lightening) that directly target ECM structures or intracellular components necessary for the assembly/function of focal adhesions, including cytoskeletal components necessary for force-dependent focal adhesion maturation. It can also be initiated by mutations that target signaling pathways, such as TGF-β and Notch signaling, which modulate the expression of components of the focal adhesion machinery (ECM components, adaptor/anchoring proteins such as zyxin and paxillin, and actin-binding proteins such as Sm22). Opportunity to establish proper connections between VSMCs and the ECM may be developmentally restricted, given that adult VSMCs have limited ability to elaborate and organize components of the elastic fibers. Dysfunctional signaling downstream of focal adhesions would promote phenotypic switching, inducing a downregulation of contractile proteins, upregulation of metalloproteinases, and other matrix proteins, such as thrombospondin-1, that positively regulate AT1R and TGF-β signaling, further exacerbating ECM pathogenic remodeling. The activation of AT1R signaling and AT1R-dependent upregulation of TGF-β signaling would result in the deposition of collagen, accumulation of proteoglycans, and production metalloproteinases and reactive oxygen species (ROS). TGF-β signaling is modeled as protective at early stages of disease, when it may promote the restoration of ECM–VSMC interaction, and progressively more pathogenic when the establishment of ECM–VSMC interaction is no longer developmentally possible, and TGF-β promotes the deposition of proteoglycans and glycosaminoglycans, and production of ROS.
Genes 12 00183 g002
Table 1. Genes classified as “definitive” in determining predisposition to heritable thoracic aortic disease based on the Clinical Genome Resource (ClinGen) framework [5,187] are listed in bold.
Table 1. Genes classified as “definitive” in determining predisposition to heritable thoracic aortic disease based on the Clinical Genome Resource (ClinGen) framework [5,187] are listed in bold.
Genes Coding for Components of the Extracellular Matrix
GeneInheritanceProtein NamePrimary Effect of TAA-Causing VariantsDisease (Phenotype MIM Number)
FBN1 [188]ADFibrillin-1Fibrillin-1 is an extracellular matrix glycoprotein that serves as the structural component of microfibrils. TAA-causing variants are predicted to impair protein synthesis, secretion, or incorporation of mutant fibrillin in the microfibrillar architecture.Marfan Syndrome (154700)
EFEMP2
[189,190]
AREGF-containing fibulin-like extracellular matrix protein 2 (Fibulin-4)Fibulin-4 is necessary for elastic fiber formation. The known variants are predicted to result in defective maturation of elastic fibers in consequence of reduced cross-linking.Cutis laxa type 1B (614437)
COL3A1
[191,192,193,194]
ADCollagen α-1(III) chainThe alpha1 chains of type III collagen are a component of a fibrillar collagen that is found in the vascular system, often in association with type I collagen. The known variants are predicted to result in defective assembly. These mutations tend to cause dissection without preceding dilatation.Vascular Ehlers–Danlos Syndrome (130050)
BGN [195]X-linkedBiglycanBiglycan is a secreted proteoglycan that interacts with other components of the ECM, including collagen type I/II/III/VI, elastin, microfibrils, and TGF-β. Although it is known that TAA-causing variants disrupt protein function, the exact effect on ECM deposition and/or TGF-β activity is not clear.Meester–Loeys syndrome (300989)
MFAP5
[196]
ADMicrofibrillar-associated protein 5Microfibrillar-associated protein 5 is a component of microfibrils. The known variants are predicted to disrupt protein function, although the exact effect on ECM deposition or activity is not clear.--
LOX
[197,198]
ADLysyl oxidaseLysyl oxidase is an enzyme required for cross-linking and maturation of collagen and elastic fibers. TAA-causing variants are predicted to result in reduced enzymatic activity and thus reduced cross-linking.Familial thoracic aortic aneurysm 10 (617168)
ELN [199]ADTropoelastinTropoelastin self-assembles into polymer networks of elastin via a process that includes fibulin-4/5 complexes, lysyl oxidase, and other matrix proteins. It is the core component of elastic lamellae. A 25-bp deletion in exon 30 of ELN was found to be associated with aortic dilatation and rupture in some patients [199].Cutis laxa (123700)
FBN2
[200,201]
ADFibrillin-2Fibrillin-2 is a component of microfibrils and may be involved in elastic fiber assembly. Most loss-of-function mutations cause congenital contractural arachnodactyly; evidence for a causal role in TAA is limited.Congenital contractural arachnodactyly (121050)
Genes coding for proteins involved in transduction of biochemical signals
GeneInheritanceProtein namePrimary effect of TAA-causing variantsDisease (PhenotypeMIM number)
TGFBR1
[202]
ADTGF-β receptor type ITGF-β receptor type I is one of the two components of the TGF-β Receptor heterodimer. Upon binding to TGF-β, it dimerizes with, and is phosphorylated by TGF-β Receptor II. Thus activated, it phosphorylates and activates SMAD2 and SMAD3 proteins. TAA-causing mutations are predicted to result in decreased kinase activity and thus reduced levels of SMAD phosphorylation.Loeys–Dietz syndrome type 1 (609192)
TGFBR2
[202]
ADTGF-β receptor type IITGF-β receptor type II is one of the two components of the TGF-β receptor heterodimer. Upon binding to TGF-β, it phosphorylates and activates TGF-β receptor I, which in turns phosphorylates and activates SMAD proteins. TAA-causing mutations are predicted to result in decreased kinase activity and thus reduced levels of SMAD phosphorylation.Loeys–Dietz syndrome type 2 (610168)
SMAD3
[203]
ADMothers against decapentaplegic drosophila homolog 3 (SMAD3)SMAD3 is one of the major signal transduction molecules activated by TGF-β receptors through phosphorylation. TAA-causing mutations are predicted to result in either decreased protein levels or decreased SMAD3-dependent transcriptional activity.Loeys–Dietz syndrome type 3 (613795)
SMAD2
[204]
ADMothers against decapentaplegic drosophila homolog 2 (SMAD2)SMAD2 is one of the major signal transduction molecules activated by TGF-β receptors though phosphorylation. TAA-causing mutations are predicted to result in decreased protein levels or decreased SMAD2-dependent transcriptional activity.Loeys–Dietz syndrome type 6
TGFB2
[205,206]
ADTransforming growth factor β-2 proprotein(TGF-β2)TGF-β2 is one of the three TGF-β ligands that bind and activate signaling by TGF-β receptors. TAA-causing mutations are predicted to result in decreased protein levels or decreased binding to TGF-β receptors.Loeys–Dietz syndrome type 4 (614816)
TGFB3
[207]
ADTransforming growth factor β-3 proprotein(TGF-β3)TGF-β3 is one of the three TGF-β ligands that bind and activate signaling by TGF-β receptors. TAA-causing mutations are predicted to result in decreased protein levels or decreased binding to TGF-β receptors.Loeys–Dietz syndrome type 5 (615582)
SMAD4
[208,209]
ADMothers against decapentaplegic drosophila homolog 4 (SMAD4)SMAD4 binds to phosphorylated SMAD2 and SMAD3 to facilitate translocation to the nucleus and transcriptional regulation downstream of TGF-β receptors. Variants associated with TAA are predicted to reduce SMAD4 activity and thus decrease TGF-β signaling output.Juvenile polyposis/hereditary hemorrhagic telangiectasia syndrome (175050)
LTBP3
[210]
ARLatent transforming growth factor β binding protein 3 (LTBP-3)LTBP-3 belongs to a family of proteins that regulate TGF-β activity by enabling its secretion and incorporation of its latent form into the ECM. They also participate in its conversion from latent to active form. Homozygous loss-of-function mutations associated with TAA are predicted to both decrease LTBP-3 levels in fibrillin-1–containing microfibrils and also decrease the overall secretion of TGF-β.Dental anomalies and short stature syndrome (601216)
SKI [211,212]ADSKI protooncogene SKI encodes a transcriptional repressor of TGF-β signaling. Mutations associated with TAA are predicted to disrupt the binding of SKI to SMAD proteins and other transcriptional co-regulators, resulting in a loss of inhibitory activity on the TGF-β signaling pathway.Shprintzen–Goldberg syndrome (182212)
NOTCH1 [213,214,215,216]ADNeurogenic locus notch homolog protein 1 (Notch 1)Notch1 is one of the four receptors that are activated by binding to one of the membrane-bound Notch ligands (Delta-like 1, 3, and 4, and Jagged 1 and 2). In humans, loss-of-function mutations in Notch1 cause aortic valve disease and, in some limited cases, TAA.Aortic valve disease (with or without thoracic aortic aneurysm) (109730)
Genes coding for proteins involved in transduction of mechanical signals
GeneInheritanceProtein namePrimary effect of TAA-causing variantsDisease (PhenotypeMIM number)
ACTA2
[217]
ADSmooth muscle actin α 2 (α-SMA)α-SMA is a smooth muscle-specific form of actin that, as other actins, exists in two states: the globular monomeric G-actin and the structural filament F-actin. It is a major constituent of the cell contractile apparatus. TAA-associated mutations are predicted to result in structurally altered actin monomers and less stable actin filaments.Familial thoracic aortic aneurysm 6 (611788)
MYH11 [62,218]ADMyosin-11 or Smooth muscle myosin heavy chain (SM-MHC)SM-MHC is a subunit of the hexameric myosin protein complex, which consists of two heavy chain subunits and two pairs of non-identical light chain subunits. It functions as a major contractile protein, converting chemical energy into mechanical energy through the hydrolysis of ATP. TAA-associated mutations are predicted to impair the ability of the mutant myosin to polymerize into thick filaments and form a quaternary structure. Haploinsufficiency for MYH11 does not appear to cause aneurysm.Familial thoracic aortic aneurysm 4 (132900)
MYLK [219]ADMyosin light chain kinase (MLCK)MLCK is a calcium/calmodulin-dependent kinase that phosphorylates myosin regulatory light chains to facilitate myosin interaction with actin filaments and thus produce contractile activity. TAA-associated mutations are predicted to either cause haploinsufficiency or impair kinase activity.Familial thoracic aortic aneurysm 7 (613780)
PRKG1 [220]ADcGMP-dependent protein kinase 1 (PKG-1)PKG-1 is a cGMP-activated kinase that promotes the relaxation of VSMCs. It activates the phosphatase that dephosphorylates myosin regulatory light chains. One recurring gain-of-function variant in the PRKG1 gene results in the constitutive activation and TAA.Familial thoracic aortic aneurysm 8 (615436)
FLNA [221,222]X-linkedFilamin-AFilamin-A is an actin-binding protein that links membrane glycoproteins, including integrins, to actin filaments. It also serves as a scaffold and integrator for a wide range of cytoplasmic signaling proteins [223]. Loss-of-function mutations are associated with a broad range of congenital malformations and with increased risk of TAA [224].Periventricular nodular heterotopia type 1 (300049)
ARIH1 [225]ADE3 ubiquitin–protein ligase ARIH1 (Ari-1)The Ari-1 protein is an E3-ubiquitin ligase that controls the degradation of SUN2, which is a component of the LINC (Linker of Nucleoskeleton and Cytoskeleton) complex. The LINC complex is involved in the coupling of mechanical signals to nuclear regulation, including chromatin and transcriptional regulation [111]. The ARI-1 variants associated with aneurysm are predicted to interfere with LINC complex function, although the mechanism remains unclear.
Unclear function or mechanism
GeneInheritanceProtein namePrimary effect of TAA-causing variantsDisease (phenotypeMIM number)
SLC2A10 [226]ARSolute carrier family 2, facilitated glucose transporter member 10 (GLUT10)GLUT10 is a member of the class III facilitative glucose transporter family. Loss-of-function mutations in this transporter have been associated with aneurysms of large and medium-sized arteries. The pathogenic mechanisms remain unclear, although effects on mitochondrial function, TGF-β signaling, and synthesis of ECM glycoproteins have been proposed [226,227,228].Arterial tortuosity syndrome (208050)
HCN4
[229,230]
ADPotassium/sodium hyperpolarization-activated cyclic nucleotide-gated channel 4 (HCN4)HCN4 is a member of the hyperpolarization-activated cyclic nucleotide-gated potassium channels. Loss-of-function mutations in this gene have been linked to sick sinus syndrome 2, which is characterized by atrial fibrillation with bradyarrhythmia as well as increased risk of aneurysm. The pathogenic mechanism remains unclear.Sick Sinus Syndrome 2 (163800)
MAT2A
[231]
ADS-adenosylmethionine synthase isoform type-2 (METK2), also known as methionine adenosyltransferase II α (MAT-IIα)MAT-IIα catalyzes synthesis of S-adenosylmethionine from methionine and ATP. Mutations that predispose individuals to TAA are predicted to reduce or disrupt the activity of the enzyme. It remains unclear how reduced levels of S-adenosylmethionine cause disease.
FOXE3
[232]
ADForkhead box protein E3 (FOXE3)FOXE3 is a transcription factor of the forkhead family of transcription factors. Mutations associated with TAA are predicted to disrupt the forkhead domain and result in defective transcriptional regulation.Aortic aneurysm, familial thoracic 11 (617349)
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Creamer, T.J.; Bramel, E.E.; MacFarlane, E.G. Insights on the Pathogenesis of Aneurysm through the Study of Hereditary Aortopathies. Genes 2021, 12, 183. https://doi.org/10.3390/genes12020183

AMA Style

Creamer TJ, Bramel EE, MacFarlane EG. Insights on the Pathogenesis of Aneurysm through the Study of Hereditary Aortopathies. Genes. 2021; 12(2):183. https://doi.org/10.3390/genes12020183

Chicago/Turabian Style

Creamer, Tyler J., Emily E. Bramel, and Elena Gallo MacFarlane. 2021. "Insights on the Pathogenesis of Aneurysm through the Study of Hereditary Aortopathies" Genes 12, no. 2: 183. https://doi.org/10.3390/genes12020183

APA Style

Creamer, T. J., Bramel, E. E., & MacFarlane, E. G. (2021). Insights on the Pathogenesis of Aneurysm through the Study of Hereditary Aortopathies. Genes, 12(2), 183. https://doi.org/10.3390/genes12020183

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop