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Review

MicroRNA Alteration, Application as Biomarkers, and Therapeutic Approaches in Neurodegenerative Diseases

by
T. P. Nhung Nguyen
1,
Mandeep Kumar
1,
Ernesto Fedele
1,2,*,
Giambattista Bonanno
1,2 and
Tiziana Bonifacino
1,3
1
Pharmacology and Toxicology Unit, Department of Pharmacy, University of Genoa, Viale Cembrano 4, 16148 Genoa, Italy
2
IRCCS Ospedale Policlinico San Martino, 16132 Genoa, Italy
3
Inter-University Center for the Promotion of the 3Rs Principles in Teaching & Research (Centro 3R), 56122 Genoa, Italy
*
Author to whom correspondence should be addressed.
Int. J. Mol. Sci. 2022, 23(9), 4718; https://doi.org/10.3390/ijms23094718
Submission received: 31 March 2022 / Revised: 20 April 2022 / Accepted: 21 April 2022 / Published: 25 April 2022
(This article belongs to the Special Issue Novel Therapeutic Approaches in Neuroscience Research)

Abstract

:
MicroRNAs (miRNAs) are essential post-transcriptional gene regulators involved in various neuronal and non-neuronal cell functions and play a key role in pathological conditions. Numerous studies have demonstrated that miRNAs are dysregulated in major neurodegenerative diseases, such as Alzheimer’s disease, Parkinson’s disease, multiple sclerosis, amyotrophic lateral sclerosis, or Huntington’s disease. Hence, in the present work, we constructed a comprehensive overview of individual microRNA alterations in various models of the above neurodegenerative diseases. We also provided evidence of miRNAs as promising biomarkers for prognostic and diagnostic approaches. In addition, we summarized data from the literature about miRNA-based therapeutic applications via inhibiting or promoting miRNA expression. We finally identified the overlapping miRNA signature across the diseases, including miR-128, miR-140-5p, miR-206, miR-326, and miR-155, associated with multiple etiological cellular mechanisms. However, it remains to be established whether and to what extent miRNA-based therapies could be safely exploited in the future as effective symptomatic or disease-modifying approaches in the different human neurodegenerative disorders.

1. Introduction

MicroRNAs (miRNAs) are small, single-stranded RNA molecules of 20–23 nucleotides that do not encode a protein [1,2,3,4]; instead, they operate by binding to the 3′-untranslated region (3′-UTR) of mRNA to inhibit target expression [1,2]. Studies have shown that miRNAs play crucial roles in regulating a wide variety of biological processes, such as stress, cell fate, morphogenesis, synaptic plasticity, apoptosis, mRNA splicing, deoxyribonucleic acid (DNA) methylation, circadian rhythms, angiogenesis, cell cycle, endocrinological regulation, immunomodulation, and neuroprotection, and are dysregulated in many central nervous system (CNS) diseases (Figure 1) [3]. The neurological-/neurodegenerative-disorder-linked miRNA activity in the CNS has gained an increasingly significant role in recent years [1,2,3,4].
Neurodegenerative diseases (NDs) affect millions of people worldwide, causing significant societal, emotional, and economic burdens [4,5]. Most NDs are based on multicomplex pathological mechanisms. Due to the impact of NDs on human health and the lack of definitive therapies for almost all of them, early detection before disease onset and effective therapeutic interventions can helpfully reduce cost and time efforts. Thus, scientists investigated miRNAs as sensitive diagnostic and prognostic biomarkers [4], and miRNA-based therapeutic approaches by regulating miRNA expressions via miRNA activity enhancement (miRNA mimics or agomirs) or inhibition (miRNA inhibitors or antagomirs) were also analysed [5].
This article aims to provide a comprehensive overview of miRNA alterations in NDs, their contribution as potential biomarkers, and possible therapeutic applications. To this purpose, we evaluated the most recent studies related to miRNA dysregulations in ND, the pathogenic pathways in vitro and in vivo in animal models and humans, the promising miRNA role as biomarkers, the novel miRNA-based therapies, the delivery to CNS techniques, and their advantages and limitations. Finally, we identified the cross-over of some miRNAs among different NDs.

2. Biology of miRNAs

Since the first miRNAs, lin-4 and let-7, were discovered in Caenorhabditis elegans in 1993, over 2000 miRNAs have been to date reported on http://www.mirbase.org (accessed on 22 February 2022) [6,7]. Due to the number of miRNAs, 30–80% of the human genes are possibly under miRNA regulation [2,8]. Each miRNA can interfere with multiple functions of a single cell type, and several miRNAs can interact to target the same mRNA [1]. Most miRNAs are located in the intronic gene portion, whereas others are localized in the coding position [8]. Furthermore, numerous investigations have shown that miRNA expression differs between tissues and cell lines [4]. Therefore, the interaction between a given miRNA and its target genes depends on many factors, such as the miRNA’s location, miRNA–mRNA quantities, and affinity [2]. miRNAs are assumed to have critical roles in many biological processes in physiological and pathological conditions [1,2]. Indeed, miRNA dysregulation has been associated with several neurological disorders [1]. In addition, both mature miRNAs and their precursors are secreted into extracellular fluids; thus, they can be considered signaling molecules for cell-to-cell communication or potential biomarkers for various diseases [2,8].
The miRNA biogenesis process generally starts with the miRNA gene co-operating post- or cotranscriptionally with RNA polymerase II/III transcripts, and this pathway includes canonical and noncanonical branches [2]. In the dominant canonical pathway, the miRNA primary transcripts (pri-miRNAs) are transcribed from their genes in the nucleus [8]. Pri-miRNAs transform into miRNA precursors (pre-miRNAs) under the action of the complex ribonuclease III enzyme Drosha and its cofactor DiGeorge Syndrome Critical Region 8 (DGCR8), an RNA binding protein [5,9]. Then, pre-miRNAs are exported to the cytoplasm via exportin-5/Ras-related nuclear protein-GTPase (XPO5/Ran-GTP) complex. Here, the extended miRNA duplex is created under the effect of a Dicer protein, an RNase III endonuclease. After that, one of the duplex strands recruits the Argonaute 2 (AGO2) protein to form a mature RNA-induced silencing complex (miRISC) to join either the total complementarity or the partial complementarity pathway that binds the 3′-UTR of the mRNA target, leading to its degradation or translation repression, respectively [5,8,10,11]. Some miRNAs, known as noncanonical miRNAs, are generated by different biogenesis pathways that can be grouped into Drosha-/DGCR8-independent and Dicer-independent pathways [5]. Sources of noncanonical miRNAs include Dicer-independent miRNAs, mirtrons, small nucleolar RNA-derived miRNAs, and tRNA-derived miRNAs [5]. For example, short-hairpin RNA is initially cleaved in the nucleus by the microprocessor complex consisting of DGCR8–Drosha. Later, this is exported to the cytoplasm via XPO5/Ran-GTP and further processed via AGO2-dependent, but Dicer-independent, cleavage [2]. In both pathways, a functional miRISC complex is created, which binds to the targeted mRNAs to suppress its expression [2,11].
miRNAs can regulate several gene expressions due to the miRNA–mRNA interaction [2,3]. The specific binding site of miRNA is at the 3′-UTR of its target mRNA, resulting in mRNA deadenylation and decapping. However, other miRNA binding sites include the 5′-UTR, coding sequences, and the promoter regions [2]. Most studies revealed that miRNAs inhibit gene expression via miRISC [2,3]. However, it has also been reported that miRNAs can induce gene upregulation under some circumstances, as in quiescent mammalian cells and immature oocytes, involving AGO2 and Fragile-X-mental-retardation-syndrome-related protein 1a (FXR1) [12].
miRNAs are mainly regulated at both transcriptional and post-transcriptional levels in the nucleus. For example, the transcriptional repressor element 1 silencing transcription factor, when activated, led to miR-132 silencing in the hippocampal CA1 neurons in an in vivo model of ischemic stroke [13]. The pituitary homeobox 3 transcription factor and miR-133b form a negative feedback loop influencing the differentiation of the midbrain dopamine neurons [14]. Meanwhile, the post-transcriptional pathways can affect the pri- or pre-miRNA stability or processing via the miRNA biogenesis enzymes, such as Dicer and Drosha [15,16,17]. These miRNA biogenesis proteins can be involved in the pathogenesis of several diseases, including the NDs. In a PD mouse model, inhibiting c-jun N-terminal kinase (JNK)-mediated microglial Dicer rescued neuroinflammation and reduced neuronal loss [15]. Controlling the Dicer complexity level involving the stress granule pathway by enoxacin gave benefits in two ALS mouse models [16]. TAR DNA-binding protein 43 (TDP-43), a key protein in ALS, interacted with the nuclear Drosha complex and bound to the pri-miRNA directly; it also bound with the Dicer complex to the loops of pre-miRNAs in the cytoplasm [17].

3. Alzheimer’s Disease

Alzheimer’s disease (AD) is a progressive brain disorder leading to a severe cognitive decline [18] that hopefully can be ameliorated by several new compounds [19,20,21]. The prevalence of AD increases substantially with age in both genders, and it will affect around 107 million people worldwide by 2050 [22]. The molecular and biological pathways of AD etiopathology are still not not fully understood. However, leading mechanisms include the accumulation of beta-amyloid (Aβ) plaques and neurofibrillary tangles due to hyperphosphorylation of Tau that are associated with gliosis, neuronal loss, cerebrovascular amyloidosis, oxidative stress, inflammation, and significant synaptic changes [23,24,25,26,27].
In normal conditions, Aβ is generated in neurons and released to the extracellular space, where it becomes a target of microglia and astrocytes for degradation. Initially, in the brain, the large molecule amyloid precursor protein (APP) can be cleaved under the action of β-secretases, with BACE1 being the major β-secretase species, to form Aβ40 and Aβ42 [23]. Soluble Aβ40 is more abundant than Aβ42; however, Aβ42 has a higher propensity for aggregation to generate amyloid plaques that show neurotoxic effects in AD [27]. Tau is a microtubule-associated protein that contributes to microtubule stability and its hyperphosphorylation is present in the brain of AD patients [24]. Furthermore, this hyperphosphorylation causes Tau detachment from microtubules and subsequent microtubule instability, self-aggregation, and neurofibrillary tangle formation. Many protein kinases and phosphatases regulate the phosphorylation status of Tau in phosphorylation-site-dependent manners [24,27]. In addition, the acetylation of Tau (Ac-Tau) promotes Tau aggregation, which suggests that Ac-Tau plays a role in Tau’s pathologic transformation [24,27]. Besides, the detrimental effects may come from the synergistic interaction between Aβ and Tau that triggers neurodegeneration in AD [24,26].
Among the complex multifactorial mechanisms, miRNA alterations may have a role in AD pathogenesis [27,28]. Consequently, miRNAs have been considered potential biomarkers and therapeutic agents in counteracting the disease [28,29].

3.1. miRNA Pathological Traits in Alzheimer’s Disease

Several specific miRNAs have been implicated in AD pathogenesis and they are involved in the following molecular mechanisms:
i
Regulation of Aβ deposition (upregulation of miR-149-5p [30], miR-128 [31], and miR-126 [32]; downregulation of miR-520c [33,34], miR-124 [35], miR-101 [29], miR-107 [29,36], miR-328 [33,37], miR-29 and miR-29a/b-1 [33], miR-298 [33], miR-16 [33,38], miR-17 [33,39], miR-9 [33], miR-195 [33,40], miR-106 [33,34], miR-15b [41], and miR-132-3p [42]; mixed regulation: miR-125b [43,44,45]);
ii
Hyperphosphorylated Tau protein accumulation (upregulation of miR-483-5p [46], miR-181c-5p [47]; miR-125b [33], miR-26b [48], miR-199a [49], miR-34a [33], miR-146, and miR-146a [33]; downregulation of miR-106b [33,50], miR-15a [33,51], miR-101 [33], miR-512 [33,52], and miR-132/-212 [33,53]);
iii
Synaptic dysfunction (upregulation of miR-181a [54], miR-186-5p [55,56], miR-26b [48], miR-30b [33], miR-124 [33], miR-574 [33], miR-206 [33], miR-142-5p [33], miR-34a [57], and miR-199a [49]; downregulation of miR-10a [33] and miR-188-5p [33]);
iv
Neuroinflammation (upregulation of miR-485-3p [58], miR-206 [33], miR-32-5p [33], miR-155 [33,59], miR-125b [33], and miR-146a [33]; downregulation of miR-132 [60], miR-22 [61], miR-331-3p [62], miR-26a [29], miR-29a [33], and miR-let-7a [33]);
v
Autophagic dysfunction (downregulation of miR-204 [63], miR-214-3p [33], miR-299-5p [33], miR-132/212 [33,53], miR-331-3p [64], and miR-9-5p [64]).
As to the Aβ synthesis pathway, miR-124, miR-29, and miR-149-5p participate in β-site amyloid precursor protein cleaving enzyme (BACE) activity by directly targeting the 3′-UTR position and by regulating APP expression [30,35,65,66,67]. In the PC12 cellular AD model, miR-124 mimic or inhibitor could increase or decrease BACE1 expression, a key enzyme of APPβ generation, and a miR-124 inhibitor also increased the number of necrotic and apoptotic cells in vitro [35]. Moreover, miR-149-5p levels increased and Lysine acetyltransferase 8 (KAT8), a direct target of miR-149-5p, decreased in plasma of AD patients [30]. In the AD 293/APPsw cell model, miR-149-5p inhibition upregulated the expression of KAT8 and H4K16ac, an epigenetic modification of the DNA-packaging Histone H4, and displayed neuroprotective effects [30]. In summary, the inhibition of miR-149-5p delivery leads to BACE downregulation and upregulation of BACE2, a BACE1 homolog that antagonizes BACE1 and blocks Aβ production [30].
Antagomir of miR-15b decreased the apoptosis of Aβ-treated SH-SY5Y cells and its mimic reduced BACE1 level in HEK293 cells [41]. Overexpression of miR-29 (miR-29a, miR-29b) downregulated their gene targets, BACE1 and BIM, in the transfected HEK-293T cells [65]. Moreover, injection of miR-29b-containing exosomes in the hippocampal CA1 region rescued the spatial learning and memory impairments in an AD rat model [65]. Meanwhile, the other family member of miR-29 (miR-29c) not only directly regulated BACE1 expression in HEK-293 cell lines and in the APPswe/PSΔE9 mice [68], but also targeted the neuron navigator 3 (an axon guidance regulator) in the same transgenic AD mouse model [66]. Interestingly, miR-125b also regulated multiple targets, although it showed different types of regulation [43,44,45]. Overexpression of miR-125b in Neuro2a APPSwe/Δ9 cells increased APP, BACE1, Aβ, and Tau levels, enhanced inflammatory factors, and suppressed Sphingosine kinase 1, which can modulate different processes such as cell death/survival and learning and memory formation [44]. On the contrary, overexpression of miR-125b-5p attenuated Aβ toxicity in Aβ-treated N2a cells via targeting BACE1 [43]. miR-107 was supposed to have several targets, including BACE1, fibroblast growth factor 7 (a proliferation, inflammation, and apoptosis mediator), and cyclin-dependent kinase 5 regulatory subunit 1 (a regulator of brain development and function) [36,69,70]. miR-107 reduction correlated with the increase in BACE1 during AD progression in humans [36]. Similarly, miR-132-3p directly targeted BACE1 or histone deacetylase 3 that played a critical role in cognitive impairment [42,71]. Overexpression of miR-132-3p reduced apoptosis in Aβ42-treated SH-SY5Y cells and alleviated memory impairments in AD rats via modulating BACE1 [42].
Moreover, miR-181c could directly bind LINC00507, a long noncoding RNA upregulated in the hippocampus and cerebral cortex of APP/PS1 mice and Aβ42-transfected SH-SY5Y cells. On the other side, LINC00507 regulates the expression of microtubule-associated protein Tau (MAPT) and Tau-tubulin kinase-1 (TTBK1), whose genes are a direct target of miR-181c-5p. LINC00507 also mediates Tau protein hyperphosphorylation by activating the P25/P35/GSK3β signaling pathway through regulating MAPT/TTBK1 by sponging miR-181c-5p, which induces Tau hyperphosphorylation in AD [47]. miR-438-5p bound to the extracellular signal-regulated kinases 1 and 2 in HEK293 cell overexpressing Tau, thus leading to the reduction of phosphorylated Tau [46,72].
Many miRNA targets, such as synaptic α-amino-3-hydroxy-5-methylisoxazole-4-propionic acid receptors (AMPAR), the cyclic adenosine monophosphate response element-binding protein (CREB1), sirtuin1 (SIRT1), and the methyl CpG-binding protein 2 (MECP2), are involved in synaptic plasticity [29]. In 3xTg-AD mouse hippocampal synaptosomes, miR-181a negatively modulated synaptic plasticity via AMPA receptors, affecting the glutamate GluA1 and GluA2 subunits without rescuing translin, an miRNA-regulating protein [54]. miR-181a regulated other plasticity-related proteins, including GluA2, CREB1, SIRT1, cFos, Ca2+/calmodulin-dependent protein kinase II, and protein kinase AMP-activated catalytic subunit alpha 1. Moreover, miR-181a dysregulation contributed to memory impairments by modifying Tau protein levels [54]. Similarly, miR-186-5p also directly targeted GluA2 by binding to 3′-UTR of GluA2-coding transcript Gria2 and regulated AMPAR-mediated currents. Overexpression of this miRNA decreased Aβ levels [55,56]. In the PC12 cell AD model, miR-26b, known to be involved in neuronal aging by inhibiting total neurite outgrowth and promoting apoptosis, reduced the expression of its target Neprilysin, an enzyme modulating Aβ concentrations [48]. Targeting the neuritin 3′-UTR, miR-199a decreased the neuritin protein level in APP/PS1 mice, thus accelerating cognitive function impairment [49]. miR-34a was proven to have several roles in regulating Tau expression in vitro (M17D neuroblastoma cell and HEK 293 cell models) [73,74] and synaptic plasticity [57,75]. miR-34a knock out in the APP/PS1 mice ameliorated AMPA and N-methyl-d-aspartate receptor expression [75].
Notably, proinflammatory cytokines, such as tumor necrosis factor alpha (TNF-α), interleukin-6 (IL-6), and Il-10 released by reactive astrocytes and microglia, are involved in AD pathology [29,33]. In the HEK 293T AD cell model and in the in vivo AD rat model, miR-132 (considered a protective agent in AD) inhibited mitogen-activated protein kinase 1 (MAPK) and inducible nitric oxide synthase (iNOS), reduced oxidative stress, and improved cognitive function via the p38 signaling pathway, a member of MAPK family involved in inflammation and apoptosis [60]. By targeting gasdermin D, the executing protein of pyroptosis of glial cells, miR-22 negatively correlated with IL-18, IL-1β, and TNF-α levels in AD patients’ peripheral blood and enhanced the memory ability in APP/PS1 mice [61]. miR-331-3p was the direct target of the von Hippel–Lindau tumor suppressor that has neuroprotective effects. It was downregulated in AD patients’ serum and Aβ40-treated SH-SY5Y cells, and negatively correlated with IL-1β, IL-6, and TNF-α. The overexpression of miR-331-3p enhanced cell viability and inhibited inflammatory responses in Aβ40-treated SH-SY5Y, thus supporting its neuroprotective role [62]. In contrast, miR-485-3p promoted AD severity by targeting AKT3, a gene regulating cell proliferation, apoptosis, and inflammatory response, in Aβ40-treated SH-SY5Y and BV2 cells, positively correlating with the inflammatory response triggered by IL-1β, IL-6, and TNF-α [58].
Autophagy has a neuroprotective role in neurodegenerative diseases, and various miRNAs diversely affect this process [33]. Silencing miR-204 enhanced transient receptor potential mucolipin-1 (TRPML1), the main channel for releasing Ca2+ from lysosomes and able to regulate autophagy and Aβ accumulation [63]. miR-204 also promoted reactive oxygen species (ROS) production and inhibited mitochondrial autophagy in AD, activating the signal transducer and activator of transcription 3 (STAT3) pathway in vitro and in vivo [63]. Interestingly, miR-331-3p and miR-9-5p were dysregulated in AD APPswe/PS1dE9 mice. They were downregulated in the early phase of the disease while upregulated in the late one. The overexpression of miR-331-3p and miR-9-5p impaired autophagic activity and promoted Aβ formation [64]. Treating SH-SY5Y cells in vitro with miR-331-3p and miR-9-5p mimics reduced Sequestosome 1, Optineurin, and Beclin1 proteins, while miRNA antagomirs produced the opposite effects on protein expression [64]. These results indicate that miR-331-3p and miR-9-5p regulated Aβ elimination via Sequestosome 1 and Optineurin autophagy receptors [64]. In addition, these miRNA antagomirs ameliorated memory loss and motility decline at a late stage in vivo [64].
Overall, this growing evidence demonstrates the involvement of miRNAs in multiple pathophysiological mechanisms of AD.

3.2. The Biomarker Value of miRNAs in Alzheimer’s Disease

Hence, microRNAs have been investigated as biomarkers and therapeutic agents in AD [28,29,55]. Many miRNAs, such as miR-483-5p, miR-29, miR-34, miR-146, miR-125b, miR-501-3p, miR-146a, miR-212, miR-132, miR-107, and miR-132-3p, are dysregulated in the brain or circulating fluids many years before exhibiting AD symptoms [46,73,76,77,78,79]. Furthermore, several studies have been conducted simultaneously on many miRNA-based signatures with advantageous cost, accuracy, sensitivity, and specificity compared to one analysed miRNA [29,80,81,82,83], as outlined in Table 1, which reports the main miRNA suggested as biomarkers in AD.

3.3. Therapeutic Implications of miRNA in Alzheimer’s Disease

miRNA-based therapeutic approaches have been broadly evaluated [55,85,86,87]. miR-181a inhibitors decreased soluble and synaptosome-enriched Tau in the hippocampus from 3xTg-AD mice [55]. The administration of miR-124 antagomir attenuated Tau hyperphosphorylation and rescued learning and memory impairments in the P301S mouse model of AD [85]. The treatment with miR-1233-5p, downregulated in Aβ(+)MCI patients’ platelets and megakaryocytes MEG-01 cells, reduced Aβ-increased platelet adhesion to fibronectin and expression of P-selectin [86]. Injecting lentivirus encoding miR-31 into the hippocampus of 3xTg-AD mice reduced Aβ and Vesicular glutamate transporter 1-containing puncta and improved cognitive deficits. In addition, miR-31 overexpression also decreased APP and BACE1 expression in vitro and in vivo [87]. In AD rat models, miR-592 was upregulated and, consequently, its blocking rescued oxidative stress, promoting cell viability by activating the Keap1/Nrf2/ARE antioxidant signaling pathway and upregulating KIAA0319 (targeted gene of miR-592) [88]. miR-204-3p was downregulated in APP/PS1 mice and its overexpression reduced neurotoxicity by inhibiting NADPH oxidase 4, one of its targets, enhanced synaptic and memory functions, and decreased oxidative stress in the hippocampus [89]. In addition, a microRNA-based multitargeted therapeutic was also developed as MG-6267—the dual inhibitor of acetylcholinesterase and miR-15b biogenesis [90]. These data highlight the promising potential of miRNAs in the cure of AD.

4. Parkinson’s Disease

Parkinson’s disease (PD) is the second most common neurological disorder after AD, characterized by progressive loss of neurons in the brain, especially dopaminergic (DA) ones, in the substantia nigra pars compacta (SNpc), resulting in cognitive and behavioral dysfunctions [91,92,93,94,95]. The literature reports that 1% of people above 60 years old suffer from PD and approximately nine million individuals worldwide will develop PD by 2030 [91]. The loss of DA neurons and decrease in DA signaling result in motor dysfunction and clinical symptoms such as resting tremor, bradykinesia, rigidity, and postural instability [91]. Besides, the intracellular inclusions of Lewy bodies, enriched with aggregated α-synuclein (α-syn), are also identified in neurons of PD patients, and impair various pathways and activate neuroinflammation [92]. Apart from the SNpc, neuron loss occurs in several other brain regions, such as the amygdala, the vagus nerve’s dorsal motor nucleus, the hypothalamus, cortex, and thalamus [93]. First motor dysfunctions develop after about a 70% loss of DA neurons in the SNpc. The preclinical phase is estimated to last 8–17 years, indicating the existence of complex mechanisms in the early PD phases [96]. Therefore, the availability of preclinical PD biomarkers is essential to design future neuroprotective strategies for high-risk patients.

4.1. miRNA Pathological Traits in Parkinson’s Disease

Several specific miRNAs have been implicated in PD pathogenesis and they are involved in the following molecular mechanisms:
(i)
Autophagy (downregulated: miR-181b [97]; upregulated: miR-3473b [98]);
(ii)
Neuronal survival (upregulated: miR-421 [99]);
(iii)
Mitochondrial function (downregulated: miR-5701 [100]);
(iv)
Pyroptosis (downregulated: miR-135b [101]);
(v)
α-syn regulation (downregulated: miR-26a, miR-425 [102,103], and miR-30 [104]);
(vi)
Neurotoxicity and inflammation (upregulated: miR-9-5p [105], miR-494-3p [106], miR-543-3p [107], and miR-421 [99]; downregulated: miR-29c-3p [108]).
Several studies have demonstrated the aberrant expression of many miRNAs in in vitro [97,99,100,101] and in vivo PD mouse models [102,103,105,106,107]. miR-421, known to regulate myocyte enhancer factor 2D (a DA neuron survival modulator) expression negatively, was found to increase in in vitro and in vivo PD models [99]. miR-181b was decreased in the 1-methyl-4- phenylpyridinium ion (MPP+)-treated PC12 cell model of PD [97]. In this in vitro model, overexpression of miR-181b inhibited autophagy and increased cell viability via targeting the PTEN/Akt/mTOR signaling pathway [97]. miR-5701 was downregulated in 6-hydroxy dopamine-treated SH-SY5Y cells, another model of PD, and it negatively regulated Valosin-containing proteins (VCP) that are involved in lysosomal degradation pathways [100]. Moreover, by targeting VCP, miR-5701 regulated mitochondrial function by increasing mitochondrial DNA and decreasing mitochondrial complex I activity and adenosine triphosphate (ATP) formation [100]. MiR-135b, known to target FoxO1 by negative feedback, was downregulated in MPP+ PD modelled SH-SY5Y and PC-12 PD cells [101]. Accordingly, miR-135b mimics attenuated the toxic effects of MPP+ in vitro on pyroptosis, downregulating NLR family pyrin domain containing 3 (NLRP3) and Caspase-1 [101]. In a PD mouse model, miR-26a, which represses the death-associated protein kinase 1 (DAPK1), increased in PD mice, was downregulated [102]. The downregulation of miR-26a and upregulation of DAPK1 induced cytotoxic increase in α-syn that caused DA neuron death in vivo [102]. In the in vivo 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP)-treated PD mouse model, the miR-425 level, which correlates to receptor-interacting protein kinase 1 expression, was downregulated [103]. miR-9-5p, which directly targets STAT1, was shown upregulated in MPP+-treated SH-SY5Y cells, thus developing a neurotoxic phenotype [105]. miR-494-3p caused neurotoxicity in two PD cell models via regulating brain-derived neurotrophic factor (BDNF) levels [106], and miR-543-3p reduced glutamate transporter type 1 expression both in in vitro and in vivo models [107]. Other related miRNAs involved in PD, such as miR-29c-3p, miR-30, and miR-3473b, are reported below in the therapeutic section [98,104,108].
Several studies demonstrated the dysregulation of different miRNAs also in PD patients, such as downregulation of miR-150 in serum [109], hsa-miR-626 in CSF [110], miR-218, miR-124, and miR-144 in prefrontal cortex brain samples [111], and miR-425 in the postmortem midbrain [103]. Similarly, several upregulated miRNAs have been identified [105,106,107,112,113,114]: miR-27b-3p in blood [112], miR-153, miR-409-3p, and miR-10a-5p in CSF extracellular vesicles (EVs) [113], miR-21-3p, miR-224, miR-373-3p, miR-26b, miR-106a, and miR-301b in SNpc [114].

4.2. The Biomarker Value of miRNAs in Parkinson’s Disease

The diagnostic criteria for PD are based on clinical signs of motor functions, but the main issue is that PD can only be diagnosed once the DA neuron loss reaches up to 70% [115]. Therefore, the need for molecular biomarkers as potential clinical tools to diagnose PD is obvious. The biomarkers for PD could be the PD-related proteins in the CSF and brain tissues, such as α-syn for protein aggregation and Lewy body formation or protein Deglycase 1 (DJ-1) for mitochondrial dysfunction [116]. Blood and plasma samples are the ideal biomarker source, and miRNAs obtained from plasma are more abundant, tissue-specific, and stable. Circulating miRNAs can be used as noninvasive biomarkers, promoting the early PD detection and controlling the progression of the pathology [117]. Table 2 presents some miRNAs recently proposed as promising PD biomarkers.

4.3. Therapeutic Implications of miRNA in Parkinson’s Disease

Treatments for PD include several approved medications (Levodopa, dopamine receptor agonists, catechol-O-methyl transferase inhibitors, and monoamine oxidase B inhibitors) [95], but there is also a variety of potentially effective compounds of natural origin under investigation (e.g., Mucuna pruriens [122]; ursolic acid [123]; chlorogenic acid [124]). More recently, different miRNA-based approaches are being investigated to cure PD. miRNA mimics and anti-miRNAs may represent useful tools to re-establish the physiological level of miRNAs in PD models, thus being promising as novel therapeutic tools. miR-150 levels in serums of PD patients were downregulated compared to healthy controls (HC) and its concentration negatively correlated with the proinflammatory cytokine levels (IL-1β, IL-6, and TNF-α) [109]. The restoration of miR-150 by mimics in lipopolysaccharide (LPS)-treated BV2 cells reduced the above-reported inflammatory cytokines via targeting the AKT3 gene [109]. miR-29c-3p mimics inhibited microglia activation and suppressed NLRP3 inflammasome in in vitro PD mouse models through directly targeting the nuclear factor of activated T cells 5 (NFAT5) [108], and miR-135b mimics attenuated pyroptosis [101]. The injection of AAV2 or AAV8-miR-30 human α-syn mimics into the SN rescued TH-positive dopamine neuron loss and reduced the forelimb deficits in PD rat models [104]. On the other side, the injection of antagomiR-421 into SNpc protected DA neurons in 6-OHDA-treated PD mice [99]. The intracerebral administration of agomiR-425 into SNpc reduced MPTP-induced necroptosis, restored locomotor impairments, and increased dopamine levels in the striatum in a PD mouse model [103]. The treatment with lentivirus-containing antisense miR-543-3p into SN locally and unilaterally in PD mice reduced the DA neuronal injury and α-syn aggregation levels, increased TH-positive cell numbers, and improved motor performance [107]. The injection of miR-3473b antagomir into the midbrain of PD mice enhanced autophagy and inhibited microglia activation via targeting TREM2/ULK1 [98]. Moreover, its inhibition also attenuated LPS-induced BV2 microglial activation [98]. These results are promising for a future potential therapeutic approach in PD treatment.

5. Multiple Sclerosis

Multiple sclerosis (MS) is a progressive autoimmune CNS disease characterized by inflammatory demyelination. It is the leading cause of nontraumatic neurological disability in young adults, and it is more common in women than men [125]. The most affected areas of the CNS are periventricular white matter, optic nerve, spinal cord, brain stem, and cerebellum. The main clinical symptoms include muscle weakness, blurred vision, dizziness, fatigue, and gate problems [126]. Several factors are responsible for the pathogenesis of MS and include genetic, epigenetic, microbial, and environmental causes [127]. Therefore, the aetiology and mechanisms of the disease are still not clear. Furthermore, there is no cure for this disease, although there are several effective disease-modifying treatments [128]. Current research on the pathophysiological changes occurring in MS reports an increase in proinflammatory miRNAs and related pathogenic biomarkers, pointing out that there is a great need for MS treatment as well as for understanding the mechanisms of disease progression [129].

5.1. miRNA Pathological Traits in Multiple Sclerosis

Several specific miRNAs have been implicated in MS pathogenesis and they are involved in the following molecular mechanisms:
(i)
Cell differentiation (downregulated: miR-124 [130]);
(ii)
Microglial activation and inflammation (downregulated: miR-155 [131], 467b [132], and miR-146a [133]; upregulated: miR-873 [134];
(iii)
Oligodendrocyte differentiation and myelin formation (downregulated: miR-219 [135]; upregulated: miR-17-5p [136] and miR-125a-3p [137]);
(iv)
Fibrosis (downregulated: miR-219-5p [138]);
(v)
Autophagy (mixed regulation: miR-223 [139,140].
The primary glial cells such as microglia, oligodendrocytes, and astrocytes are abundant in the CNS. They are involved in inflammatory reactions and signal transmission and provide nutritional support to the neuronal cells. They also help in cellular regeneration and repair [127]. A study showed that the expression of miR-124 was significantly lower in activated microglia in the experimental autoimmune encephalomyelitis (EAE) mouse model [129]. miR-124 negatively regulated the CCAAT/enhancer-binding protein α (CEBPα) involved in myeloid cell differentiation [130]. Furthermore, in vivo administration of miR-124 reduced lymphocytes, CD4+ T cells, and macrophages, and activated CD45hi microglia [130]. Another study evaluated the role of miR-155 in macrophages and microglia activation by transfecting cells with miR-155 analogs/mimetics. The authors demonstrated that miR-155 analogs/mimetics significantly increased reactive microglia and the secretion of inflammatory factors [131]. miR-219, which is deficient in MS, plays a fundamental role in the regulation of oligodendrocyte differentiation and myelin formation [135]. miR-219 enhanced the myelination process in aging rats when delivered intranasally through serum-derived exosomes [135]. miR-17-5p was upregulated in CD4+ lymphocytes isolated from MS patients [136]. In this in vitro model, an antimiR-17 upregulated phosphatidylinositol 3-kinase (PI3K) regulatory subunit 1, a tumor suppressor, and PTEN, a PI3K inhibitor [136]. A study reported that miR-125a-3p was upregulated in MS patients and oligodendrocyte precursor cells (OPC) isolated from the spinal cord of EAE mice [137]. Overexpression of miR-125a-3p by lentiviral-operated administration into the subcortical white matter of the lysophosphatidylcholine-induced demyelination MS model, resulted in impairing OPC maturation and inhibiting remyelination [137]. miR-873, which promotes NF-κB activation and increases inflammatory factors such as IL-6, macrophage inflammatory protein-1, and monocyte chemotactic protein -2, was upregulated in astrocytes from EAE mice [134]. Other dysregulated miRNAs, such as the downregulated miRNA-467b, miR-146a, and miR-219-5p [132,133,138,139,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158], or the altered regulation of miR-223 were proposed to participate in MS pathology and have potential therapeutic application [132,138,139,140,150].

5.2. The Biomarker Value of miRNAs in Multiple Sclerosis

Several studies published in recent years have demonstrated that miRNAs work as important diagnostic biomarkers of MS (Table 3). The plasma samples were collected from both MS patients and healthy donors to perform miRNA gene chip analysis, and the results showed the upregulation of miR-22, miR-422-a, miR-572, miR-614, miR-648, and miR-1826, and the downregulation of miR-1979 [153]. Similarly, miR-145 was overexpressed in PBMCs of MS patients [154]. Another study showed the overexpression of miR-145 in peripheral blood, thus being used as a biomarker in MS patients [155]. Moreover, MS patients can also be diagnosed by evaluating the overexpression of miR-320a, miR-572, miR-27a-3p, and miR-199a-5p in serum [156]. On the other hand, MS patients showed downregulation of miR-572 in serum compared with HC [157]. Some miRNAs also correlate with different phases of the disease, such as miR-326 and miR-26a, that can distinguish between the relapsing and remitting phases of MS [158]. A study identified nine miRNAs (miR-15b-5p, miR-23a-3p, miR-30b-5p, miR-223-3p, miR-374a-5p, miR-342-3p, miR-432-5p, miR-433-3p, and miR-485-3p) that could discriminate relapsing–remitting from progressive MS [141].

5.3. Therapeutic Implications of miRNA in Multiple Sclerosis

RNA interference technology plays an important role in regulating miRNA content in MS [132]. The injection of miRNA-467b mimics in mouse-spleen-derived CD4+ T cells led to the downregulation of Th17 differentiation by targeting eukaryotic initiation factor 4 F (eIF4E), preventing infiltration of inflammatory cells into CNS, and delaying disease progression in the EAE mouse model of the disease [132]. Moreover, a neutral lipid emulsion containing miR-146a mimics were shown to cross the blood–brain barrier (BBB), increasing the M2 microglia/macrophage phenotype, rescuing OPC differentiation, enhancing remyelination, and improving the neurological in vivo outcomes via negatively affecting toll-like receptor 2/interleukin-1 receptor-associated kinase 1 signaling pathway [150]. miR-223 directly targets the autophagy related 16-like 1 (Atg16l1) and its deficiency augmented autophagy in the EAE mouse brain microglial cells. Overexpression of miR-223 decreased the cellular level of Atg16l1 in the LPS-induced autophagy model in BV2 cells [139]. In EAE mice, the administration of miR-219-5p through the tail vein negatively regulated fibronectin 1 expression, blocked bladder fibrosis, and controlled smooth bladder muscle tone [138]. In contrast, antagomiR-125a-3p stimulated oligodendrocyte maturation in vitro since miR-125a-3p targets Neuregulin1, Tyrosine kinase protein Fyn, the small GTPase Ras homolog family member A (RhoA), and p38, regulating myelin basic protein mainly expressed in mature/myelinating oligodendrocytes [151]. Obstacles to the miRNA-based therapeutic approach in ND in general and MS are the off-target effects due to multiple target genes and difficulty in crossing the BBB. Therefore, the development of novel delivering methods, such as nanosystems, biomaterials, EVs, gene therapy (lentivirus vectors), and stem cell implants, deserves to be investigated [152].

6. Huntington’s Disease

Huntington’s disease (HD) is a neurodegenerative disease caused by CAG repeat expansion in the Huntingtin gene (HTT), including a complex net of pathogenic mechanisms [159,160,161]. HD is the most common of the nine polyglutamine diseases [162], with a prevalence of ~12 per 100,000 individuals in European populations [163]. The motor onset occurs from childhood to old age, with a mean age around 45 years [164]. Currently, there is no effective treatment, and patients usually die 10–20 years after illness onset [165]. HD symptoms include progressive involuntary choreiform movements, behavioral and psychiatric disturbances, and dementia [161]. Recently, miRNA-expression dysregulation has been reported in many studies using different HD human samples [166,167,168,169] and animal models [170,171,172,173].

6.1. miRNA Pathological Traits in Huntington’s Disease

Several specific miRNAs have been implicated in HD pathogenesis and they are involved in the following molecular mechanisms:
(i)
Neuronal development and survival (downregulated: miR-212, miR-128, miR-218, miR-124, and miR-132 [171,174]);
(ii)
Neuronal differentiation and morphology (downregulated: miR-124 [170] and miR-196a [175]);
(iii)
mHTT aggregation (downregulated: miR-128a [172], miR-181c, and miR-133 [176]; upregulated: miR-194 [176]);
(iv)
Synaptic function (upregulated: miR-140 [166]);
(v)
Cell apoptosis (downregulated: miR-34a [84]).
In a study including 15 HD patients and seven controls, the isolated miRNAs from plasma samples were analysed and 168 dysregulated miRNAs were found in symptomatic patients, namely: miR-877-5p, miR-223-3p, miR-223-5p, miR-30d-5p, miR-128, miR-22-5p, miR-222-3p, miR-338-3p, miR-130b-3p, miR-425-5p, miR-628-3p, miR-361-5p, and miR-942 were significantly increased, while miR-122-5p, miR-641, and miR-330-3p levels were decreased compared with controls [168]. In the PREDICT-HD study, miRNA levels were measured in CSF using the HTG protocol, and six miRNAs (miR-520f-3p, miR-135b-3p, miR-4317, miR-3928-5p, miR-8082, and miR-140-5p) were significantly increased in the prodromal HD-gene-expansion carriers versus controls [169].
In animal models, CAG length-dependent microRNA expression was altered in the mouse brain. In particular, 159 microRNAs were altered in the striatum, 102 in the cerebellum, 51 in the hippocampus, and 45 in the cortex [170]. Among them, miR-212, miR-132, miR-218, and miR-128, associated with aspects of neuronal development and survival, were found to be downregulated [171]. In a monkey model, miR-194 level was upregulated, whereas miR-181c, miR-128, and miR-133 expressions were downregulated in the frontal cortex region [172]. In addition, this study also confirmed HD-signaling genes regulated by miR-128a, including HTT and Huntingtin interaction protein 1, have a crucial role in the disease.
Some dysregulated miRNAs, such as miR-140-5p, miR-124, and miR-34a-5p, contribute to the HD pathology. miR-140 is a negative regulator of disintegrin and metalloproteinase 10 (ADAM10) [169]—that is increased in HD—accumulating at the postsynaptic densities and causing excessive cleavage of the synaptic protein N-cadherin, which produces a detrimental role at the HD synapses [177]. miR-124 is one of the crucial regulators for neuronal differentiation in neurodegeneration [170] and there was a decrease in STHdhQ111/HdhQ111 HD cells and mice models [178]. The expressions of the miR-34 family members were investigated in the brain, liver, and skeletal muscle from R6/2 mice, and the results demonstrated that miR-34a-5p was more expressed than miR-34-b/c isoforms in all three tissues [173]. This study also proved age- and genotype-dependent downregulation of miR-34a-5p in the brain. miR-34a also positively interacted with cell cycle progression, cellular senescence, and apoptosis [84]. Other roles of miRNAs present in the literature are reported in Table 4.

6.2. The Biomarker Value of miRNAs in Huntington’s Disease

There is currently an urgent need for biomarker measure methods consistent with HD pathology, and the development of miRNA biomarker assays may contribute as a significant indicator for HD progression diagnostic [166]. Some studies focused on detecting specific miRNA [166,167]; others figured out several miRNA-signature alterations [161,168,169].
miR-9* was downregulated in peripheral leukocytes of HD patients and supposed to increase the expression of the corepressor of repressor element 1-silencing transcription factor [166]. miR-34b was elevated in mHTT-expressing NT2-derived neurons and in plasma samples of HD patients [167]. Moreover, the elevated expression of miR-34b appeared prior to symptom onset that was affordable for early detection of HD, needing a sample volume as small as 10 µL [167]. The circulating miRNAs from plasma or CSF samples were investigated to explore miRNA signatures [168,169]. Table 5 reports miRNAs as potential biomarkers in HD.
However, the general limitations of these studies are the sample size, the unknown interactions of extrinsic factors, such as nutrition, medications, ethnicity, or race, as well as technical issues, such as accurate detection methods or internal reference for miRNA expression [161,166,167,168,169]. Therefore, additional analysis of larger cohorts during disease progression will undoubtedly improve the efficacy of these measures.

6.3. Therapeutic Implications of miRNA in Huntington’s Disease

Currently, miRNA-based therapeutics are being developed to target mutant-HTT [170,175,179,180,181]. By injecting miRNA-124 in mice, the two neuroprotective molecules peroxisome proliferator-activated receptor-coactivator-1 alpha (PGC-1α) and BDNF were increased, while the SRY-related HMG box transcription factor 9, a repressor of cell differentiation, was downregulated [170]. The role of miR-196a was examined in cultured primary cortical neurons isolated from FVB mouse embryos and miR-196a-overexpressing transgenic mice [175]. The results showed that miR-196a improved neuronal morphology by suppressing the expression of RAN-binding protein 10 and increasing β-tubulin polymerization, and ameliorated intracellular transport, synaptic plasticity, learning, and memory abilities [175].
Despite the improved knowledge about miRNA alterations in HD, only some studies on miRNA-based therapeutic delivering strategies have been conducted in different in vivo models. An exosome-based delivery method was developed to inject miRNA-124 into the striatum of R6/2 transgenic HD mice, and it reduced the target protein RE1-silencing transcription factor, a regulator of the neurogenesis [179]. However, in that study, the behavioral performances were not improved due to the critical issues of the delivery method. Recently, many other studies have shown that artificial miRNAs can reduce mutant HTT in small and large HTT animal models [180,181]. An AAV5-encoded miRNA targeting human HTT was recently administrated into the striatal region of the Hu128/21 mouse model to lower the different HTT isoform expression [180]. The outcomes of that study showed a behavioral improvement and a long-lasting reduction of wild-type HTT [180]. Pfister and Coll. (2018) also applied a single administration of scAAV9-miRHTT into HD sheep striatum and recorded a reduction of the human mutant HTT mRNA in caudate and putamen at 1 and 6 months postinjection [181]. We can conclude that miRNA-mediated gene therapy is promising in treating of HD.

7. Amyotrophic Lateral Sclerosis

Amyotrophic lateral sclerosis (ALS) is the most frequent motor neuron (MN) disease that affects motor neurons in the motor cortex, brainstem, and spinal cord [182,183]. Approximately 90% of ALS cases are sporadic (sALS), while 10% are familial (fALS), defined by the occurrence of ALS in more than one family member [145]. Around 30 different genes and more than 100 mutations are linked to ALS. The most frequent gene mutations are chromosome 9 open reading frame 72 (C9orf72), Superoxide dismutase type 1 (SOD1), TAR DNA-binding (TARDBP), and fused in sarcoma (FUS) [184,185,186,187]. The pathophysiological mechanisms of MN degeneration remain largely unknown. ALS is a complex disease in which multiple cell types, such as astrocytes, microglia, oligodendrocytes, Schwann cells, and skeletal muscle cells, have important roles in the pathology [188,189]. Different cellular and molecular mechanisms contributing to ALS include protein misfolding and aggregation, mitochondrial dysfunction, neuroinflammation, oxidative stress, axonal transport deficits, glutamate excitotoxicity, RNA dysfunction, neuromuscular junction abnormalities, cytoskeletal derangements, dysregulation of growth factors, and abnormal calcium metabolism [188]. In this context, several studies have investigated the dysregulation of miRNAs, thus pointing out that the miRNA signature could be a valuable tool to identify ALS biomarkers and therapeutic targets [190].

7.1. miRNA Pathological Traits in Amyotrophic Lateral Sclerosis

Several specific miRNAs have been implicated in ALS pathogenesis and they are involved in the following molecular mechanisms:
(i)
Autophagy (downregulated: miR-335-5p [191]);
(ii)
Apoptosis (downregulated: miR-183-5p [192]);
(iii)
MN excitability (downregulated: miR-218 [193]);
(iv)
Neuronal differentiation and neuromuscular junction (upregulated: miR-129-5p [194]);
(v)
Neuroinflammation (upregulated: miR-142-3p [195]).
Multiple miRNAs are imbalanced in ALS, corrupting synapses/neuromuscular junction function, neurofilaments, neurogenesis, and RNA/protein metabolism [190,191,192,193,194,195,196]. For instance, miR-335-5p, miR-183-5p, and miR-218 expression is downregulated in ALS patient serum, ALS cells, or mouse models, thus affecting several disease-linked mechanisms [191,192,193]. miR-335-5p is decreased in ALS patient serum and directly targets caspase-7 in SH-SY5Y neuronal cells [191]. After 72 h, SH-SY5Y cells transfected with an miR-335-5p inhibitor showed abnormal autophagy processes and activated caspase 3/7 apoptotic pathways [191]. miR-183-5p was downregulated in ALS patients and in the spinal cord of SOD1G93A mice at the late symptomatic stage of the disease. However, miR-183-5p was upregulated in the early phase [192]. When transfected in NSC-34 cells, miR-183-5p mimics protected cells from death, while inhibitors induced cell death under stress conditions [192]. Using sequence analysis, the authors reported that miR-183-5p affected apoptosis and necroptosis in NSC-34 cells by targeting the receptor-interacting serine/threonine-protein kinase 1, a necroptosis regulator, and programmed cell death 4, a critical protein in cell apoptosis [192]. After confirming the miR-218 downregulation in human spinal MNs, it emerged that miR-218 genetic variants target the potassium channel Kv10.1, disrupting in vitro the excitability of primary rat MN cultures [193].
On the other side, other miRNAs are upregulated in ALS, including miR-129-5p, miR-5572, and miR-142-3p [194,195,196]. Although limited knowledge is available regarding miR-129-5p, it seems to maintain the neuronal function and homeostasis and regulate neuronal differentiation, possibly targeting the RNA-binding protein ELAVL4/HuD [194]. Moreover, miR-129-5p was dysregulated in different ALS disease paradigms both in vivo in SOD1G93A mice and sALS patients, and in vitro. In vivo silencing miR-129-5p increased the lifespan of SOD1G93A mice and rescued the neuromuscular junction degeneration [194]. Overexpression of miR-129-5p in NSC-34, SOD1G93A, and SH-SY5Y/SOD1G93A cells decreased HuD level, a crucial protein for neuronal development and maturation [194]. miR-129-5p also inhibited neurite outgrowth in SH-SY5Y/SOD1G93A cells [194]. miR-5572 is a recently discovered molecule in humans, and its function is still unclear [194]. Moreover, miR-5572 binds the 3′-UTR of the targeted SLC30A3 gene and is increased in the spinal cord of sALS patients [196]. miR-142-3p was altered in some NDs, such as AD or MS, and non-NDs, such as diabetes or heart failure. In ALS, miR-142-3p is associated with neuroinflammation and microglial activation and was predicted to target both TDP-43 and C9orf72 genes. Moreover, it increased in serum of the SOD1G86R and TDP43A315T mouse models of the disease and sALS patients [195]. A clinical study in C9orf72 patients demonstrated miR-34a-5p and miR-345-5p overexpression, while miR-200c-3p and miR-10a-3p were downregulated in correlation with the disease stage [197]. Table 6 summarizes the miRNAs altered in ALS patients.

7.2. The Biomarker Value of miRNAs in Amyotrophic Lateral Sclerosis

miRNAs are secreted in the CSF and their analysis in this fluid could be used for clinical diagnosis. In addition, miRNAs are also muscle-specific and, therefore, they may have a broad application as biomarkers in ALS [190,202]. In a cohort of 20 ALS/motor neuron disease patients and 20 controls, some miRNAs were isolated from a neural-enriched subpopulation of EVs from total plasma samples and confirmed eight miRNAs differently expressed with respect to controls. In detail, miR-146a-5p, miR-199a-3p, miR-151a-3p, miR-151a-5p, and miR-199a-5p were upregulated in ALS patients, while miR-4454, miR-10b-5p, miR-29b-3p, and miR-151a-5p were downregulated [203]. In a study including 14 ALS patients, 9 nonALS neurological disease controls, and 9 healthy controls, CSF samples showed evidence of a positive correlation between EV-derived miR-124 levels and the disease severity (indicated by ALSFRS-R score) of male patients [204]. Another study collected muscle biopsy samples from 19 ALS patients to validate miRNAs and showed that only miR-206 levels negatively correlated with the muscle strength, assessed using a medical research council grading scale [205]. However, due to the limitation of the sample size, biological sources, and mixed hereditary causes, further studies are needed before using these miRNAs for clinical diagnosis [206].

7.3. Therapeutic Implications of miRNA in Amyotrophic Lateral Sclerosis

The pharmacological treatment based on miRNAs as a novel therapeutic approach in ALS has been exploited in numerous preclinical studies by stimulating or inhibiting miRNA production via different delivering techniques, such as adeno-associated virus vectors (AAV), EVs, or antisense oligonucleotides [202]. miR-494-3p secreted in EVs from inducible neural pluripotent cell-derived astrocytes was downregulated in astrocytes prepared from patients carrying the C9orf72 mutation and healthy controls. Treating HB9-GFP+ mouse MNs with an miR-494-3p mimic rescued the neurite length and number of nodes per cell and increased MN survival [206].
Two miRNAs, miR-101 and miR-451, delivered by AVV5 and targeting C9orf72 to silence its expression, reduced the C9orf72 mRNA expression in both the nucleus and cytoplasm in two ALS cell models, namely HEK293T and induced pluripotent stem cell (iPSC)-derived frontal brainlike neurons from a patient affected by frontotemporal dementia (FTD). They also inhibited the formation of nuclear RNA foci in (G4C2)44-expressing HEK293T cells [207]. These data would support the feasibility of miRNA-based and AAV-delivered gene therapy to reduce the gain of toxicity in ALS and FTD patients.
The dysregulation of the hsa-miR-17~92 cluster/nuclear PTEN pathway was evidenced in SOD1G93A mice before the disease onset. Overexpressing miR-17~92 via self-complementary AAV9 delivering prolonged the survival of SOD1G93A mice and ameliorated the neuromuscular function; besides, the hsa-miR-17~92 deletion provoked severe loss of MNs in the lateral motor column in the spinal cord. Finally, the survival of human iPSC-derived SOD1+/L144F MNs was extended [208]. Therefore, miR-17~92 may be valuable as a prognostic marker of MN degeneration and a therapeutic target in SOD1-linked ALS. On the other hand, genetic ablation of one or two miR-155 alleles in SOD1G93A mice reduced the expression of the proinflammatory genes Tnf, Fasl, Ccl2, and Nos2 in the spinal cord microglia and Tnf, Il1b, Fasl, Nos2, and CCR2 in Ly6CHi splenic monocytes. Partial or total miR-155 deletion reversed the expression of abnormal proteins in the spinal cord and preserved the phagocytic function of microglia in vivo. Moreover, antimiR-155 administration to SOD1G93A mice increased rotarod performance, delayed disease onset, and extended survival [209]. In SOD1G93A mice, miR-29a-antagomirs, administered in vivo ICV, maintained muscular strength longer than vehicle-treated mice and tended to improve lifespan [210]. The available evidence suggests that miRNAs may represent a promising tool for ALS treatment. However, further studies are needed to evaluate efficacy and safety, figure out effective delivering methods, deepen knowledge of the molecular pathways related to disease, and verify the results in patients.

8. miRNA Engagement Overlapping in Neurodegenerative Diseases

Several studies have identified some miRNA dysregulation in one specific ND, whereas others have focused on the influence of one miRNA in different NDs. However, the miRNAs’ role across several NDs still needs further study. Figure 2 represents specific miRNAs shared among NDs.
Recently, a PRISMA-based review reported that miR-146a-5p, miR-155-5p, and miR-223-3p were upregulated in tissues and animal models of 12 NDs including AD, HD, ALS, PD, and MS; meanwhile, miR-9-5p, miR-21-5p, the miR-29 family, miR-124-3p, and miR-132-3p exhibited mixed regulation [211]. Here, we summarized the literature on the diverse dysregulation of miR-128, miR-140-5p, miR-206, miR-326, and miR-155 (Table 7).
As mentioned above, there was a diversified regulation of miR-128 levels related to the oxidative stress mechanism in AD, PD, and HD [212], involving the TrkC.T1 receptor and the TNF-α level in astrocytes in ALS [213], and regulation of pleiotropic cytokine TGFβ related to T-helper 17 (Th17) cells in immunological effects in MS [214].
The miR-140-5p involvement in AD included mitochondrial dysfunction, autophagy, Aβ, and Tau accumulation and free radical production [180,213], whereas miR-140-5p dysregulation in HD was involved in excitatory synapse function, in increased postsynaptic proteolysis, and in electrophysiological alterations due to ADAM10 hyperactivity [177]. In PD, miR-140-5p induced inflammation via the TRL4/NFκB signaling pathway [215], while in MS it inhibits Th17 differentiation by interacting with OIP5-AS1 and RhoA/ROCK2 signaling [216] or Th1 differentiation via DNA methylation and mitochondrial respiratory pathway [217].
miR-206 enhanced the detrimental effects of Aβ42 by suppressing the expression of BDNF in AD [218,219,220]. In the ALS SOD1G93A mouse model, the concentration of miR-206, which is supposed to participate in neuromuscular junction (NMJ) activity, gradually increased with age in muscle biopsy samples [205]. miR-206 suppresses the Histone deacetylase 4 (HDAC4), which mediates the nerve–skeletal muscle interaction factor in muscle isolated from miR-206−/− mice. miR-206 also mediated fibroblast growth factor binding protein 1, a factor promoting NMJ regeneration. Its expression decreased in the miR-206−/− mouse model [205]. The cellular mechanisms related to the influence of miR-155 in AD, HD, ALS, PD, and MS in general included BBB permeability, apoptosis, neurite outgrowth, and microglia activation [59,131,181,221,222,223,224,225,226,227]. miR-326 decreased Aβ and Tau tangle formation, attenuated apoptosis, improved cell viability, and downregulated stress proteins in AD [228,229]; sustained axon development and regulated neuron death via BDNF1 and HIF1 in ALS [230]; inhibited iNOS activation and suppressed DA neuron apoptosis in PD [231,232]; and induced Th17 differentiation and maturation in MS [233].
miRNAs’ administration to reach intracellular space may occur through different delivering methods, such as viral vectors, nonviral tools, liposomes, nanoparticles, or EVs [10]. miR-155 was delivered by AAV5 or AAV9 vector in HD in vivo models [181,223]. miR-155 was upregulated in PD mouse produced by AAV2-α-syn injection, and deletion of miR-155 in miR-155−/− mice reduced the proinflammatory action of α-syn in primary microglia [225]. Hence, exposing microglia from miR-155−/− mice to a synthetic mimic miR-155 reversed this effect [225]. In ALS SOD1G93A mice, an antimiR-155 was delivered via an osmotic pump directed into the lateral ventricles [11]. miR-326 was delivered via a lentivirus vector in an AD mouse model [228] or EVs derived from T-cells in RRMS patients [206,233]. Typically, the viral delivery had high efficiency and prolonged suppression of miRNA, while the remaining delivery methods were less toxic and characterized by fewer limitations of the DNA size [11]. Therefore, developing an appropriate delivering method of miRNAs to targets is necessary to improve the efficacy of the treatment.
Table 7 summarizes the involvement of miRNAs in different NDs, reporting the targets, the up- or downregulation, and the model source.
Table 7. Summary of miRNA dysregulation across NDs.
Table 7. Summary of miRNA dysregulation across NDs.
miRNANDTargetMiRNA Expression and ModelReference
miR-128ADSTIM2↑ Male APP/PS1 mice[234]
ARPP21↑ In vitro, NMRI mice[235]
Not mentioned↑ human plasma, CSF of AD patients[29]
HDNot mentioned↓ YAC128 and R6/2 mice[174]
mHTT↓ frontal cortex of HD monkey model[172]
Not mentioned↑ Human plasma of HD patients[168]
↓ Human HD post-mortem brain[167]
ALSABCG1, LGALS3, CTDSP1, BAX↓ Blood samples from sALS patients [236]
TrkC.T1↓ SOD1G93A mice, post-mortem sALS patient spinal cord[213]
PDAXIN1↓ In vitro, PD mice[237]
MSBMI1↑ T cells isolated from MS human blood[214]
miR-140-5pADADAM10↑ post-mortem human AD hippocampus, in vitro[238]
PINK1↑ AD rats, in vitro[239]
HDNot mentioned↑ CSF sample from HD human[169]
ADAM10↑ R6/2 and zQ175 mice, postmortem HD patient brain[177]
PDTLR4↓ Blood, colon tissues from PD patients; PC12 cell model[215]
MSRhoA/ROCK2↓ In vitro, EAE mice, blood MS patients[216]
STAT1 and Tbx↓ Splenic CD4+T cells isolated from EAE mice[217]
miR-155ADMicroglia fibrillar Aβ1-42↑ In vitro[221]
IL-1β, IL-6, TNF-α, Capase-3↑ hippocampus of AD rats[59]
APPAPP/PSEN1 mice, AD human post-mortem brain[222]
HDmHTT↓ AAV5 vector, HD rats[223]
mHTT↓ AAV9 vector, HD sheeps[181]
ALSC/EBPβ, Smad2, MFG-E8↑ SOD1G93A mice[224]
PDα-synuclein↑ AAV2-SYN mice[225]
Not mentioned↑ Blood of PD patients[226]
MSSOCS1↑ Blood monocytes, myeloid cells from brain lesion in RRMS patients[131]
Pro-inflammatory cytokines, myelination/microlia↑ Brains of MS-cuprizone-induced mice[227]
miR-206ADBDNF, SIRT1↑ Serum of AD patients[218]
BDNF↑ Brain of AD patients[219]
BDNF↑ APP/PS1 transgenic mice[220]
ALSHDAC4↑ SOD1G93A mice[205]
Not mentioned↑ Blood of sALS patients[240]
miR-326ADVAV1↓ APPswe/PS1d E9 double transgenic mice[228]
PKM2, lncRNA RPPH1↓ In vitro [229]
ALSBDFN1, HIF-1↑ Blood and neuromuscular junction of sALS patients[230]
PDKLK7 gene/MAPK signaling↓ PD mice[231]
XBP1 gene/JNK signaling↓ PD mice[232]
MSTh17↑ T Cell-derived EVs of RRMS patients[233]
AAV: adeno-associated viruses; Aβ: amyloid beta; APP: amyloid-beta precursor protein; ALS: amyotrophic lateral sclerosis; AD: Alzheimer’s disease; C/EBPβ: CCAAT-enhancer-binding protein beta; CSF: cerebrospinal fluid; HD: Huntington’s disease; IL: interleukin; MFG-E8: milk fat globule-EGF factor 8 protein; MS: multiple sclerosis; mHTT: mutant Huntingtin; PD: Parkinson’s disease; RRMS: relapsing–remitting MS; RhoA/ROCK2: Ras homolog family member A kinases/Rho-associated kinases 2; SYN: alpha-synuclein; TrkC.T1: Tropomyosin receptor kinase C.T1; TNF-α: tumor necrosis factor alpha; sALS: sporadic ALS; SMAD2: mothers against decapentaplegic homolog 2. ↑: upregulated; ↓: downregulated.

9. Conclusions

Numerous studies have described miRNA functions and their aberrant expression affecting neuronal and non-neuronal mechanisms in AD, PD, MS, HD, and ALS. The emerging data also outlined the overlapping functions across the NDs. The extensive research results have improved our knowledge on the remarkable potential value for diagnosis, prognosis, prevention, and treatment of NDs based on up- or downregulated miRNAs expressions. However, there are still significant challenges to surmount since most miRNA-based therapeutic data are on preclinical models, and further studies are needed to increase human safety and efficacy [10,11]. One single miRNA may display several mechanisms and interact with other miRNAs, increasing the complexity of the cellular mechanisms affected in ND, thus leading to unwanted side effects and reducing the efficacy of the treatment. Moreover, miRNA-delivering-improvements are required to efficiently access the target during therapy [11]. To conclude, future identification and characterization of novel miRNAs involved in NDs are highly desired to improve the potential of this novel and up-and-coming research field.

Author Contributions

Conceptualization, G.B., T.P.N.N. and T.B.; writing—original draft preparation, T.B., T.P.N.N. and M.K.; writing—review and editing G.B., E.F. and T.B.; supervision, G.B. and E.F. All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported by Compagnia di San Paolo (project n. 2018.AAI629.U730/SD/pv), by MUR PRIN 2017 (project n. 2017F2A2C5-002), by Motor Neurone Disease Association (project n. April16/848-791), to G.B.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Conflicts of Interest

The authors declare no conflict of interest.

Abbreviations

miRNAs: MicroRNAs; NDs: neurodegenerative diseases; CNS: central nervous system; AD: Alzheimer’s disease; HD: Huntington’s disease; ALS: amyotrophic lateral sclerosis; PD: Parkinson’s disease; MS: multiple sclerosis; CSF: cerebrospinal fluid.

References

  1. Anglicheau, D.; Muthukumar, T.; Suthanthiran, M. MicroRNAs: Small RNAs With Big Effects. Transplantation 2010, 90, 105–112. [Google Scholar] [CrossRef] [PubMed]
  2. O’Brien, J.; Hayder, H.; Zayed, Y.; Peng, C. Overview of MicroRNA Biogenesis, Mechanisms of Actions, and Circulation. Front. Endocrinol. 2018, 9, 402. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  3. Saraiva, C.; Esteves, M.; Bernardino, L. MicroRNA: Basic concepts and implications for regeneration and repair of neurodegenerative diseases. Biochem. Pharmacol. 2017, 141, 118–131. [Google Scholar] [CrossRef] [PubMed]
  4. Viswambharan, V.; Thanseem, I.; Vasu, M.M.; Poovathinal, S.A.; Anitha, A. miRNAs as biomarkers of neurodegenerative disorders. Biomark. Med. 2017, 11, 151–167. [Google Scholar] [CrossRef]
  5. Paul, S.; Vázquez, L.A.B.; Uribe, S.P.; Reyes-Pérez, P.R.; Sharma, A. Current Status of microRNA-Based Therapeutic Approaches in Neurodegenerative Disorders. Cells 2020, 9, 1698. [Google Scholar] [CrossRef]
  6. Lee, R.C.; Feinbaum, R.L.; Ambros, V. The C. elegans heterochronic gene lin-4 encodes small RNAs with antisense complementarity to lin-14. Cell 1993, 75, 843–854. [Google Scholar] [CrossRef]
  7. Wightman, B.; Ha, I.; Ruvkun, G. Posttranscriptional regulation of the heterochronic gene lin-14 by lin-4 mediates temporal pattern formation in C. elegans. Cell 1993, 75, 855–862. [Google Scholar] [CrossRef]
  8. Catanesi, M.; D’Angelo, M.; Tupone, M.G.; Benedetti, E.; Giordano, A.; Castelli, V.; Cimini, A. MicroRNAs Dysregulation and Mitochondrial Dysfunction in Neurodegenerative Diseases. Int. J. Mol. Sci. 2020, 21, 5986. [Google Scholar] [CrossRef]
  9. Faller, M.; Toso, D.; Matsunaga, M.; Atanasov, I.; Senturia, R.; Chen, Y.; Zhou, Z.H.; Guo, F. DGCR8 recognizes primary transcripts of microRNAs through highly cooperative binding and formation of higher-order structures. RNA 2010, 16, 1570–1583. [Google Scholar] [CrossRef] [Green Version]
  10. Proshkina, E.; Solovev, I.; Koval, L.; Moskalev, A. The critical impacts of small RNA biogenesis proteins on aging, longevity and age-related diseases. Ageing Res. Rev. 2020, 62, 101087. [Google Scholar] [CrossRef]
  11. Brites, D. Regulatory function of microRNAs in microglia. Glia 2020, 68, 1631–1642. [Google Scholar] [CrossRef] [PubMed]
  12. Bukhari, S.I.; Truesdell, S.S.; Lee, S.; Kollu, S.; Classon, A.; Boukhali, M.; Jain, E.; Mortensen, R.D.; Yanagiya, A.; Sadreyev, R.I.; et al. A Specialized Mechanism of Translation Mediated by FXR1a-Associated MicroRNP in Cellular Quiescence. Mol. Cell 2016, 61, 760–773. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  13. Hwang, J.-Y.; Kaneko, N.; Noh, K.-M.; Pontarelli, F.; Zukin, R.S. The Gene Silencing Transcription Factor REST Represses miR-132 Expression in Hippocampal Neurons Destined to Die. J. Mol. Biol. 2014, 426, 3454–3466. [Google Scholar] [CrossRef] [Green Version]
  14. Kim, J.; Inoue, K.; Ishii, J.; Vanti, W.B.; Voronov, S.V.; Murchison, E.; Hannon, G.; Abeliovich, A. A MicroRNA Feedback Circuit in Midbrain Dopamine Neurons. Science 2007, 317, 1220–1224. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  15. Wang, Q.; He, Q.; Chen, Y.; Shao, W.; Yuan, C.; Wang, Y. JNK-mediated microglial DICER degradation potentiates inflammatory responses to induce dopaminergic neuron loss. J. Neuroinflamm. 2018, 15, 184. [Google Scholar] [CrossRef]
  16. Emde, A.; Eitan, C.; Liou, L.; Libby, R.T.; Rivkin, N.; Magen, I.; Reichenstein, I.; Oppenheim, H.; Eilam, R.; Silvestroni, A.; et al. Dysregulated miRNA biogenesis downstream of cellular stress and ALS-causing mutations: A new mechanism for ALS. EMBO J. 2015, 34, 2633–2651. [Google Scholar] [CrossRef] [Green Version]
  17. Kawahara, Y.; Mieda-Sato, A. TDP-43 promotes microRNA biogenesis as a component of the Drosha and Dicer complexes. Proc. Natl. Acad. Sci. USA 2012, 109, 3347–3352. [Google Scholar] [CrossRef] [Green Version]
  18. Alzheimer’s Association. Alzheimer’s Disease Facts and Figures. Alzheimer Dement. 2020, 16, 391–460. [Google Scholar] [CrossRef]
  19. Tripathi, P.N.; Srivastava, P.; Sharma, P.; Tripathi, M.K.; Seth, A.; Tripathi, A.; Rai, S.N.; Singh, S.; Shrivastava, S.K. Biphenyl-3-oxo-1,2,4-triazine linked piperazine derivatives as potential cholinesterase inhibitors with anti-oxidant property to improve the learning and memory. Bioorganic Chem. 2018, 85, 82–96. [Google Scholar] [CrossRef]
  20. Srivastava, P.; Tripathi, P.N.; Sharma, P.; Rai, S.N.; Singh, S.; Srivastava, R.K.; Shankar, S.; Shrivastava, S.K. Design and development of some phenyl benzoxazole derivatives as a potent acetylcholinesterase inhibitor with antioxidant property to enhance learning and memory. Eur. J. Med. Chem. 2018, 163, 116–135. [Google Scholar] [CrossRef]
  21. Singh, A.K.; Rai, S.N.; Maurya, A.; Mishra, G.; Awasthi, R.; Shakya, A.; Chellappan, D.K.; Dua, K.; Vamanu, E.; Chaudhary, S.K.; et al. Therapeutic Potential of Phytoconstituents in Management of Alzheimer’s Disease. Evid.-Based Complementary Altern. Med. 2021, 2021, 5578574. [Google Scholar] [CrossRef] [PubMed]
  22. Dumurgier, J.; Tzourio, C. Epidemiology of neurological diseases in older adults. Rev. Neurol. 2020, 176, 642–648. [Google Scholar] [CrossRef] [PubMed]
  23. Calabrò, M.; Rinaldi, C.; Santoro, G.; Crisafulli, C. The biological pathways of Alzheimer disease: A review. AIMS Neurosci. 2021, 8, 86–132. [Google Scholar] [CrossRef] [PubMed]
  24. Iqbal, K.; Liu, F.; Gong, C.-X. Tau and neurodegenerative disease: The story so far. Nat. Rev. Neurol. 2016, 12, 15–27. [Google Scholar] [CrossRef] [PubMed]
  25. Dansokho, C.; Heneka, M.T. Neuroinflammatory responses in Alzheimer’s disease. J. Neural Transm. 2018, 125, 771–779. [Google Scholar] [CrossRef] [PubMed]
  26. Tönnies, E.; Trushina, E. Oxidative Stress, Synaptic Dysfunction, and Alzheimer’s Disease. J. Alzheimers Dis. 2017, 57, 1105–1121. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  27. Guo, T.; Zhang, D.; Zeng, Y.; Huang, T.Y.; Xu, H.; Zhao, Y. Molecular and cellular mechanisms underlying the pathogenesis of Alzheimer’s disease. Mol. Neurodegener. 2020, 15, 40. [Google Scholar] [CrossRef]
  28. Zhao, Y.; Jaber, V.; Alexandrov, P.N.; Vergallo, A.; Lista, S.; Hampel, H.; Lukiw, W.J. microRNA-Based Biomarkers in Alzheimer’s Disease (AD). Front. Neurosci. 2020, 14, 585432. [Google Scholar] [CrossRef]
  29. Siedlecki-Wullich, D.; Miñano-Molina, A.J.; Rodríguez-Álvarez, J. microRNAs as Early Biomarkers of Alzheimer’s Disease: A Synaptic Perspective. Cells 2021, 10, 113. [Google Scholar] [CrossRef]
  30. Chen, F.; Chen, H.; Jia, Y.; Lu, H.; Tan, Q.; Zhou, X. miR-149-5p inhibition reduces Alzheimer’s disease β-amyloid generation in 293/APPsw cells by upregulating H4K16ac via KAT8. Exp. Ther. Med. 2020, 20, 88. [Google Scholar] [CrossRef]
  31. Tiribuzi, R.; Crispoltoni, L.; Porcellati, S.; Di Lullo, M.; Florenzano, F.; Pirro, M.; Bagaglia, F.; Kawarai, T.; Zampolini, M.; Orlacchio, A.; et al. miR128 up-regulation correlates with impaired amyloid β(1-42) degradation in monocytes from patients with sporadic Alzheimer’s disease. Neurobiol. Aging 2014, 35, 345–356. [Google Scholar] [CrossRef] [PubMed]
  32. Kim, W.; Noh, H.; Lee, Y.; Jeon, J.; Shanmugavadivu, A.; McPHIE, D.L.; Kim, K.-S.; Cohen, B.M.; Seo, H.; Sonntag, K.C. MiR-126 Regulates Growth Factor Activities and Vulnerability to Toxic Insult in Neurons. Mol. Neurobiol. 2016, 53, 95–108. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  33. Kou, X.; Chen, D.; Chen, N. The Regulation of microRNAs in Alzheimer’s Disease. Front. Neurol. 2020, 11, 288. [Google Scholar] [CrossRef] [PubMed]
  34. Patel, N.; Hoang, D.; Miller, N.; Ansaloni, S.; Huang, Q.; Rogers, J.T.; Lee, J.C.; Saunders, A.J. MicroRNAs can regulate human APP levels. Mol. Neurodegener. 2008, 3, 10. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  35. Fang, M.; Wang, J.; Zhang, X.; Geng, Y.; Hu, Z.; Rudd, J.A.; Ling, S.; Chen, W.; Han, S. The miR-124 regulates the expression of BACE1/β-secretase correlated with cell death in Alzheimer’s disease. Toxicol. Lett. 2012, 209, 94–105. [Google Scholar] [CrossRef] [PubMed]
  36. Wang, W.-X.; Rajeev, B.W.; Stromberg, A.J.; Ren, N.; Tang, G.; Huang, Q.; Rigoutsos, I.; Nelson, P.T. The Expression of MicroRNA miR-107 Decreases Early in Alzheimer’s Disease and May Accelerate Disease Progression through Regulation of β-Site Amyloid Precursor Protein-Cleaving Enzyme 1. J. Neurosci. 2008, 28, 1213–1223. [Google Scholar] [CrossRef]
  37. Boissonneault, V.; Plante, I.; Rivest, S.; Provost, P. MicroRNA-298 and MicroRNA-328 Regulate Expression of Mouse β-Amyloid Precursor Protein-converting Enzyme 1. J. Biol. Chem. 2009, 284, 1971–1981. [Google Scholar] [CrossRef] [Green Version]
  38. Liu, W.; Liu, C.; Zhu, J.; Shu, P.; Yin, B.; Gong, Y.; Qiang, B.; Yuan, J.; Peng, X. MicroRNA-16 targets amyloid precursor protein to potentially modulate Alzheimer’s-associated pathogenesis in SAMP8 mice. Neurobiol. Aging 2012, 33, 522–534. [Google Scholar] [CrossRef]
  39. Estfanous, S.; Daily, K.P.; Eltobgy, M.; Deems, N.P.; Anne, M.N.K.; Krause, K.; Badr, A.; Hamilton, K.; Carafice, C.; Hegazi, A.; et al. Elevated Expression of MiR-17 in Microglia of Alzheimer’s Disease Patients Abrogates Autophagy-Mediated Amyloid-β Degradation. Front. Immunol. 2021, 12, 705581. [Google Scholar] [CrossRef]
  40. Zhu, H.-C.; Wang, L.-M.; Wang, M.; Song, B.; Tan, S.; Teng, J.-F.; Duan, D.-X. MicroRNA-195 downregulates Alzheimer’s disease amyloid-β production by targeting BACE1. Brain Res. Bull. 2012, 88, 596–601. [Google Scholar] [CrossRef]
  41. Gong, G.; An, F.; Wang, Y.; Bian, M.; Yu, L.-J.; Wei, C. miR-15b represses BACE1 expression in sporadic Alzheimer’s disease. Oncotarget 2017, 8, 91551–91557. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  42. Qu, J.; Xiong, X.; Hujie, G.; Ren, J.; Yan, L.; Ma, L. MicroRNA-132-3p alleviates neuron apoptosis and impairments of learning and memory abilities in Alzheimer’s disease by downregulation of HNRNPU stabilized BACE1. Cell Cycle 2021, 20, 2309–2320. [Google Scholar] [CrossRef] [PubMed]
  43. Li, P.; Xu, Y.; Wang, B.; Huang, J.; Li, Q. miR-34a-5p and miR-125b-5p attenuate Aβ-induced neurotoxicity through targeting BACE1. J. Neurol. Sci. 2020, 413, 116793. [Google Scholar] [CrossRef] [PubMed]
  44. Jin, Y.; Tu, Q.; Liu, M. MicroRNA-125b regulates Alzheimer’s disease through SphK1 regulation. Mol. Med. Rep. 2018, 18, 2373–2380. [Google Scholar] [CrossRef] [PubMed]
  45. Ma, X.; Liu, L.; Meng, J. MicroRNA-125b promotes neurons cell apoptosis and Tau phosphorylation in Alzheimer’s disease. Neurosci. Lett. 2017, 661, 57–62. [Google Scholar] [CrossRef]
  46. Sabry, R.; El Sharkawy, R.E.; Gad, N.M. MiRNA-483-5p as a Potential Noninvasive Biomarker for Early Detection of Alzheimer’s Disease. Egypt. J. Immunol. 2020, 27, 59–72. [Google Scholar]
  47. Yan, Y.; Yan, H.; Teng, Y.; Wang, Q.; Yang, P.; Zhang, L.; Cheng, H.; Fu, S. Long non-coding RNA 00507/miRNA-181c-5p/TTBK1/MAPT axis regulates tau hyperphosphorylation in Alzheimer’s disease. J. Gene Med. 2020, 22, e3268. [Google Scholar] [CrossRef]
  48. Chu, T.; Shu, Y.; Qu, Y.; Gao, S.; Zhang, L. miR-26b inhibits total neurite outgrowth, promotes cells apoptosis and downregulates neprilysin in Alzheimer’s disease. Int. J. Clin. Exp. Pathol. 2018, 11, 3383–3390. [Google Scholar]
  49. Song, D.; Li, G.; Hong, Y.; Zhang, P.; Zhu, J.; Yang, L.; Huang, J. miR-199a decreases Neuritin expression involved in the development of Alzheimer’s disease in APP/PS1 mice. Int. J. Mol. Med. 2020, 46, 384–396. [Google Scholar] [CrossRef]
  50. Liu, W.; Zhao, J.; Lu, G. miR-106b inhibits tau phosphorylation at Tyr18 by targeting Fyn in a model of Alzheimer’s disease. Biochem. Biophys. Res. Commun. 2016, 478, 852–857. [Google Scholar] [CrossRef]
  51. Hébert, S.S.; Papadopoulou, A.S.; Smith, P.; Galas, M.-C.; Planel, E.; Silahtaroglu, A.N.; Sergeant, N.; Buée, L.; De Strooper, B. Genetic ablation of Dicer in adult forebrain neurons results in abnormal tau hyperphosphorylation and neurodegeneration. Hum. Mol. Genet. 2010, 19, 3959–3969. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  52. Mezache, L.; Mikhail, M.; Garofalo, M.; Nuovo, G.J. Reduced miR-512 and the Elevated Expression of Its Targets cFLIP and MCL1 Localize to Neurons with Hyperphosphorylated Tau Protein in Alzheimer Disease. Appl. Immunohistochem. Mol. Morphol. 2015, 23, 615–623. [Google Scholar] [CrossRef] [PubMed]
  53. Wang, Y.; Veremeyko, T.; Wong, A.H.-K.; EL Fatimy, R.; Wei, Z.; Cai, W.; Krichevsky, A.M.; Wang, Y.; Veremeyko, T.; Wong, A.H.-K.; et al. Downregulation of miR-132/212 impairs S-nitrosylation balance and induces tau phosphorylation in Alzheimer’s disease. Neurobiol. Aging 2017, 51, 156–166. [Google Scholar] [CrossRef] [PubMed]
  54. Rodriguez-Ortiz, C.J.; Prieto, G.A.; Martini, A.C.; Forner, S.; Trujillo-Estrada, L.; LaFerla, F.M.; Baglietto-Vargas, D.; Cotman, C.W.; Kitazawa, M. miR-181a negatively modulates synaptic plasticity in hippocampal cultures and its inhibition rescues memory deficits in a mouse model of Alzheimer’s disease. Aging Cell 2020, 19, e13118. [Google Scholar] [CrossRef] [Green Version]
  55. Silva, M.M.; Rodrigues, B.; Fernandes, J.; Santos, S.D.; Carreto, L.; Santos, M.A.S.; Pinheiro, P.; Carvalho, A.L. MicroRNA-186-5p controls GluA2 surface expression and synaptic scaling in hippocampal neurons. Proc. Natl. Acad. Sci. USA 2019, 116, 5727–5736. [Google Scholar] [CrossRef] [Green Version]
  56. Kim, J.; Yoon, H.; Chung, D.-E.; Brown, J.L.; Belmonte, K.C.; Kim, J. miR-186 is decreased in aged brain and suppresses BACE1 expression. J. Neurochem. 2016, 137, 436–445. [Google Scholar] [CrossRef] [Green Version]
  57. Sarkar, S.; Jun, S.; Rellick, S.; Quintana, D.; Cavendish, J.; Simpkins, J. Expression of microRNA-34a in Alzheimer’s disease brain targets genes linked to synaptic plasticity, energy metabolism, and resting state network activity. Brain Res. 2016, 1646, 139–151. [Google Scholar] [CrossRef] [Green Version]
  58. Yu, L.; Li, H.; Liu, W.; Zhang, L.; Tian, Q.; Li, H.; Li, M. MiR-485-3p serves as a biomarker and therapeutic target of Alzheimer’s disease via regulating neuronal cell viability and neuroinflammation by targeting AKT3. Mol. Genet. Genom. Med. 2021, 9, e1548. [Google Scholar] [CrossRef]
  59. Liu, D.; Zhao, D.; Zhao, Y.; Wang, Y.; Zhao, Y.; Wen, C. Inhibition of microRNA-155 Alleviates Cognitive Impairment in Alzheimer’s Disease and Involvement of Neuroinflammation. Curr. Alzheimer Res. 2019, 16, 473–482. [Google Scholar] [CrossRef]
  60. Deng, Y.; Zhang, J.; Sun, X.; Ma, G.; Luo, G.; Miao, Z.; Song, L. miR-132 improves the cognitive function of rats with Alzheimer’s disease by inhibiting the MAPK1 signal pathway. Exp. Ther. Med. 2020, 20, 159. [Google Scholar] [CrossRef]
  61. Han, C.; Guo, L.; Yang, Y.; Guan, Q.; Shen, H.; Sheng, Y.; Jiao, Q. Mechanism of microRNA-22 in regulating neuroinflammation in Alzheimer’s disease. Brain Behav. 2020, 10, e01627. [Google Scholar] [CrossRef] [PubMed]
  62. Liu, Q.; Lei, C. Neuroprotective effects of miR-331-3p through improved cell viability and inflammatory marker expression: Correlation of serum miR-331-3p levels with diagnosis and severity of Alzheimer’s disease. Exp. Gerontol. 2021, 144, 111187. [Google Scholar] [CrossRef] [PubMed]
  63. Zhang, L.; Fang, Y.; Zhao, X.; Zheng, Y.; Ma, Y.; Li, S.; Huang, Z.; Li, L. miR-204 silencing reduces mitochondrial autophagy and ROS production in a murine AD model via the TRPML1-activated STAT3 pathway. Mol. Ther.-Nucleic Acids 2021, 24, 822–831. [Google Scholar] [CrossRef] [PubMed]
  64. Chen, M.-L.; Hong, C.-G.; Yue, T.; Li, H.-M.; Duan, R.; Hu, W.-B.; Cao, J.; Wang, Z.-X.; Chen, C.-Y.; Hu, X.-K.; et al. Inhibition of miR-331-3p and miR-9-5p ameliorates Alzheimer’s disease by enhancing autophagy. Theranostics 2021, 11, 2395–2409. [Google Scholar] [CrossRef] [PubMed]
  65. Jahangard, Y.; Monfared, H.; Moradi, A.; Zare, M.; Mirnajafi-Zadeh, J.; Mowla, S.J. Therapeutic Effects of Transplanted Exosomes Containing miR-29b to a Rat Model of Alzheimer’s Disease. Front. Neurosci. 2020, 14, 564. [Google Scholar] [CrossRef]
  66. Zong, Y.; Yu, P.; Cheng, H.; Wang, H.; Wang, X.; Liang, C.; Zhu, H.; Qin, Y.; Qin, C. miR-29c regulates NAV3 protein expression in a transgenic mouse model of Alzheimer’s disease. Brain Res. 2015, 1624, 95–102. [Google Scholar] [CrossRef]
  67. Jash, K.; Gondaliya, P.; Sunkaria, A.; Kalia, K. MicroRNA-29b Modulates β-Secretase Activity in SH-SY5Y Cell Line and Diabetic Mouse Brain. Cell. Mol. Neurobiol. 2020, 40, 1367–1381. [Google Scholar] [CrossRef]
  68. Zong, Y.; Wang, H.; Dong, W.; Quan, X.; Zhu, H.; Xu, Y.; Huang, L.; Ma, C.; Qin, C. miR-29c regulates BACE1 protein expression. Brain Res. 2011, 1395, 108–115. [Google Scholar] [CrossRef]
  69. Chen, W.; Wu, L.; Hu, Y.; Jiang, L.; Liang, N.; Chen, J.; Qin, H.; Tang, N. MicroRNA-107 Ameliorates Damage in a Cell Model of Alzheimer’s Disease by Mediating the FGF7/FGFR2/PI3K/Akt Pathway. J. Mol. Neurosci. 2020, 70, 1589–1597. [Google Scholar] [CrossRef]
  70. Moncini, S.; Lunghi, M.; Valmadre, A.; Grasso, M.; Del Vescovo, V.; Riva, P.; Denti, M.A.; Venturin, M. The miR-15/107 Family of microRNA Genes Regulates CDK5R1/p35 with Implications for Alzheimer’s Disease Pathogenesis. Mol. Neurobiol. 2017, 54, 4329–4342. [Google Scholar] [CrossRef]
  71. Zeng, C.; Meng, X.; Mai, D.; Xu, K.; Qu, S. Overexpression of miR-132-3p contributes to neuronal protection in in vitro and in vivo models of Alzheimer’s disease. Behav. Brain Res. 2022, 417, 113584. [Google Scholar] [CrossRef] [PubMed]
  72. Nagaraj, S.; Want, A.; Laskowska-Kaszub, K.; Fesiuk, A.; Vaz, S.; Logarinho, E.; Wojda, U. Candidate Alzheimer’s Disease Biomarker miR-483-5p Lowers TAU Phosphorylation by Direct ERK1/2 Repression. Int. J. Mol. Sci. 2021, 22, 3653. [Google Scholar] [CrossRef] [PubMed]
  73. Cosín-Tomàs, M.; Antonell, A.; Lladó, A.; Alcolea, D.; Fortea, J.; Ezquerra, M.; Lleó, A.; Martí, M.J.; Pallàs, M.; Sanchez-Valle, R.; et al. Plasma miR-34a-5p and miR-545-3p as Early Biomarkers of Alzheimer’s Disease: Potential and Limitations. Mol. Neurobiol. 2017, 54, 5550–5562. [Google Scholar] [CrossRef] [PubMed]
  74. Dickson, J.R.; Kruse, C.; Montagna, D.R.; Finsen, B.; Wolfe, M.S. Alternative polyadenylation and miR-34 family members regulate tau expression. J. Neurochem. 2013, 127, 739–749. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  75. Xu, Y.; Chen, P.; Wang, X.; Yao, J.; Zhuang, S. miR-34a deficiency in APP/PS1 mice promotes cognitive function by increasing synaptic plasticity via AMPA and NMDA receptors. Neurosci. Lett. 2018, 670, 94–104. [Google Scholar] [CrossRef]
  76. Kanach, C.; Blusztajn, J.; Fischer, A.; Delalle, I. MicroRNAs as Candidate Biomarkers for Alzheimer’s Disease. Non-Coding RNA 2021, 7, 8. [Google Scholar] [CrossRef]
  77. Barbagallo, C.; Mostile, G.; Baglieri, G.; Giunta, F.; Luca, A.; Raciti, L.; Zappia, M.; Purrello, M.; Ragusa, M.; Nicoletti, A. Specific Signatures of Serum miRNAs as Potential Biomarkers to Discriminate Clinically Similar Neurodegenerative and Vascular-Related Diseases. Cell. Mol. Neurobiol. 2020, 40, 531–546. [Google Scholar] [CrossRef]
  78. Hara, N.; Kikuchi, M.; Miyashita, A.; Hatsuta, H.; Saito, Y.; Kasuga, K.; Murayama, S.; Ikeuchi, T.; Kuwano, R. Serum microRNA miR-501-3p as a potential biomarker related to the progression of Alzheimer’s disease. Acta Neuropathol. Commun. 2017, 5, 10. [Google Scholar] [CrossRef] [Green Version]
  79. Li, Q.S.; Cai, D. Integrated miRNA-Seq and mRNA-Seq Study to Identify miRNAs Associated with Alzheimer’s Disease Using Post-mortem Brain Tissue Samples. Front. Neurosci. 2021, 15, 620899. [Google Scholar] [CrossRef]
  80. Dong, Z.; Gu, H.; Guo, Q.; Liang, S.; Xue, J.; Yao, F.; Liu, X.; Li, F.; Liu, H.; Sun, L.; et al. Profiling of Serum Exosome MiRNA Reveals the Potential of a MiRNA Panel as Diagnostic Biomarker for Alzheimer’s Disease. Mol. Neurobiol. 2021, 58, 3084–3094. [Google Scholar] [CrossRef]
  81. Cha, D.J.; Mengel, D.; Mustapic, M.; Liu, W.; Selkoe, D.J.; Kapogiannis, D.; Galasko, D.; Rissman, R.A.; Bennett, D.A.; Walsh, D.M. miR-212 and miR-132 Are Downregulated in Neurally Derived Plasma Exosomes of Alzheimer’s Patients. Front. Neurosci. 2019, 13, 1208. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  82. Jain, G.; Stuendl, A.; Rao, P.; Berulava, T.; Centeno, T.P.; Kaurani, L.; Burkhardt, S.; Delalle, I.; Kornhuber, J.; Hüll, M.; et al. A combined miRNA–piRNA signature to detect Alzheimer’s disease. Transl. Psychiatry 2019, 9, 1208. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  83. Ansari, A.; Maffioletti, E.; Milanesi, E.; Marizzoni, M.; Frisoni, G.B.; Blin, O.; Richardson, J.C.; Bordet, R.; Forloni, G.; Gennarelli, M.; et al. miR-146a and miR-181a are involved in the progression of mild cognitive impairment to Alzheimer’s disease. Neurobiol. Aging 2019, 82, 102–109. [Google Scholar] [CrossRef] [PubMed]
  84. Rokavec, M.; Li, H.; Jiang, L.; Hermeking, H. The p53/miR-34 axis in development and disease. J. Mol. Cell Biol. 2014, 6, 214–230. [Google Scholar] [CrossRef] [Green Version]
  85. Hou, T.; Zhou, Y.; Zhu, L.; Wang, X.; Pang, P.; Wang, D.; Liuyang, Z.; Man, H.; Lu, Y.; Liu, D. Correcting abnormalities in miR-124/PTPN1 signaling rescues tau pathology in Alzheimer’s disease. J. Neurochem. 2020, 154, 441–457. [Google Scholar] [CrossRef]
  86. Lee, B.K.; Kim, M.H.; Lee, S.Y.; Son, S.J.; Hong, C.H.; Jung, Y.-S. Downregulated Platelet miR-1233-5p in Patients with Alzheimer’s Pathologic Change with Mild Cognitive Impairment is Associated with Aβ-Induced Platelet Activation via P-Selectin. J. Clin. Med. 2020, 9, 1642. [Google Scholar] [CrossRef]
  87. Barros-Viegas, A.T.; Carmona, V.; Ferreiro, E.; Guedes, J.; Cardoso, A.; Cunha, P.P.; de Almeida, L.P.; de Oliveira, C.R.; de Magalhães, J.P.; Peça, J. miRNA-31 Improves Cognition and Abolishes Amyloid-β Pathology by Targeting APP and BACE1 in an Animal Model of Alzheimer’s Disease. Mol. Ther.-Nucleic Acids 2020, 19, 1219–1236. [Google Scholar] [CrossRef]
  88. Wu, G.-D.; Li, Z.-H.; Li, X.; Zheng, T.; Zhang, D.-K. microRNA-592 blockade inhibits oxidative stress injury in Alzheimer’s disease astrocytes via the KIAA0319-mediated Keap1/Nrf2/ARE signaling pathway. Exp. Neurol. 2020, 324, 113128. [Google Scholar] [CrossRef]
  89. Tao, W.; Yu, L.; Shu, S.; Liu, Y.; Zhuang, Z.; Xu, S.; Bao, X.; Gu, Y.; Cai, F.; Song, W.; et al. miR-204-3p/Nox4 Mediates Memory Deficits in a Mouse Model of Alzheimer’s Disease. Mol. Ther. 2010, 29, 396–408. [Google Scholar] [CrossRef]
  90. Gabr, M.T.; Brogi, S. MicroRNA-Based Multitarget Approach for Alzheimer’s Disease: Discovery of the First-In-Class Dual Inhibitor of Acetylcholinesterase and MicroRNA-15b Biogenesis. J. Med. Chem. 2020, 63, 9695–9704. [Google Scholar] [CrossRef]
  91. Balestrino, R.; Schapira, A.H.V. Parkinson disease. Eur. J. Neurol. 2020, 27, 27–42. [Google Scholar] [CrossRef] [PubMed]
  92. Hallett, P.J.; Engelender, S.; Isacson, O. Lipid and immune abnormalities causing age-dependent neurodegeneration and Parkinson’s disease. J. Neuroinflamm. 2019, 16, 153. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  93. Giguère, N.; Nanni, S.B.; Trudeau, L.-E. On Cell Loss and Selective Vulnerability of Neuronal Populations in Parkinson’s Disease. Front. Neurol. 2018, 9, 455. [Google Scholar] [CrossRef] [PubMed]
  94. Armstrong, M.J.; Okun, M.S. Diagnosis and Treatment of Parkinson Disease: A Review. JAMA 2020, 323, 548–560. [Google Scholar] [CrossRef]
  95. Reich, S.G.; Savitt, J.M. Parkinson’s Disease. Med. Clin. N. Am. 2019, 103, 337–350. [Google Scholar] [CrossRef]
  96. Cacabelos, R. Parkinson’s Disease: From Pathogenesis to Pharmacogenomics. Int. J. Mol. Sci. 2017, 18, 551. [Google Scholar] [CrossRef]
  97. Li, W.; Jiang, Y.; Wang, Y.; Yang, S.; Bi, X.; Pan, X.; Ma, A. MiR-181b regulates autophagy in a model of Parkinson’s disease by targeting the PTEN/Akt/mTOR signaling pathway. Neurosci. Lett. 2018, 675, 83–88. [Google Scholar] [CrossRef]
  98. Lv, Q.; Zhong, Z.; Hu, B.; Yan, S.; Yan, Y.; Zhang, J.; Shi, T.; Jiang, L.; Li, W.; Huang, W. MicroRNA-3473b regulates the expression of TREM2/ULK1 and inhibits autophagy in inflammatory pathogenesis of Parkinson disease. J. Neurochem. 2021, 157, 599–610. [Google Scholar] [CrossRef]
  99. Dong, Y.; Xiong, J.; Ji, L.; Xue, X. MiR-421 Aggravates Neurotoxicity and Promotes Cell Death in Parkinson’s Disease Models by Directly Targeting MEF2D. Neurochem. Res. 2021, 46, 299–308. [Google Scholar] [CrossRef]
  100. Prajapati, P.; Sripada, L.; Singh, K.; Roy, M.; Bhatelia, K.; Dalwadi, P.; Singh, R. Systemic Analysis of miRNAs in PD Stress Condition: miR-5701 Modulates Mitochondrial–Lysosomal Cross Talk to Regulate Neuronal Death. Mol. Neurobiol. 2018, 55, 4689–4701. [Google Scholar] [CrossRef]
  101. Zeng, R.; Luo, D.-X.; Li, H.-P.; Zhang, Q.-S.; Lei, S.-S.; Chen, J.-H. MicroRNA-135b alleviates MPP+-mediated Parkinson’s disease in in vitro model through suppressing FoxO1-induced NLRP3 inflammasome and pyroptosis. J. Clin. Neurosci. 2019, 65, 125–133. [Google Scholar] [CrossRef] [PubMed]
  102. Su, Y.; Deng, M.-F.; Xiong, W.; Xie, A.-J.; Guo, J.; Liang, Z.-H.; Hu, B.; Chen, J.-G.; Zhu, X.; Man, H.; et al. MicroRNA-26a/Death-Associated Protein Kinase 1 Signaling Induces Synucleinopathy and Dopaminergic Neuron Degeneration in Parkinson’s Disease. Biol. Psychiatry 2019, 85, 769–781. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  103. Hu, Y.-B.; Zhang, Y.-F.; Wang, H.; Ren, R.-J.; Cui, H.-L.; Huang, W.-Y.; Cheng, Q.; Chen, H.-Z.; Wang, G. miR-425 deficiency promotes necroptosis and dopaminergic neurodegeneration in Parkinson’s disease. Cell Death Dis. 2019, 10, 589. [Google Scholar] [CrossRef] [Green Version]
  104. Khodr, C.E.; Becerra, A.; Han, Y.; Bohn, M.C. Targeting alpha-synuclein with a microRNA-embedded silencing vector in the rat substantia nigra: Positive and negative effects. Brain Res. 2014, 1550, 47–60. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  105. Wang, Z.; Sun, L.; Jia, K.; Wang, H.; Wang, X. miR-9-5p modulates the progression of Parkinson’s disease by targeting SIRT. Neurosci. Lett. 2019, 701, 226–233. [Google Scholar] [CrossRef]
  106. Deng, C.; Zhu, J.; Yuan, J.; Xiang, Y.; Dai, L. Pramipexole Inhibits MPP+-Induced Neurotoxicity by miR-494-3p/BDNF. Neurochem. Res. 2020, 45, 268–277. [Google Scholar] [CrossRef] [PubMed]
  107. Wu, X.; Meng, X.; Tan, F.; Jiao, Z.; Zhang, X.; Tong, H.; He, X.; Luo, X.; Xu, P.; Qu, S. Regulatory Mechanism of miR-543-3p on GLT-1 in a Mouse Model of Parkinson’s Disease. ACS Chem. Neurosci. 2019, 10, 1791–1800. [Google Scholar] [CrossRef]
  108. Wang, R.; Li, Q.; He, Y.; Yang, Y.; Ma, Q.; Li, C. miR-29c-3p inhibits microglial NLRP3 inflammasome activation by targeting NFAT5 in Parkinson’s disease. Genes Cells 2020, 25, 364–374. [Google Scholar] [CrossRef]
  109. Li, H.; Yu, L.; Li, M.; Chen, X.; Tian, Q.; Jiang, Y.; Li, N. MicroRNA-150 serves as a diagnostic biomarker and is involved in the inflammatory pathogenesis of Parkinson’s disease. Mol. Genet. Genom. Med. 2020, 8, e1189. [Google Scholar] [CrossRef] [Green Version]
  110. Qin, L.-X.; Tan, J.-Q.; Zhang, H.-N.; Tang, J.-G.; Jiang, B.; Shen, X.-M.; Tang, B.-S.; Wang, C.-Y. Preliminary study of hsa-miR-626 change in the cerebrospinal fluid of Parkinson’s disease patients. J. Clin. Neurosci. 2019, 70, 198–201. [Google Scholar] [CrossRef]
  111. Xing, R.; Li, L.; Liu, X.; Tian, B.; Cheng, Y. Down regulation of miR -218, miR -124, and miR -144 relates to Parkinson’s disease via activating NF-κB signaling. Kaohsiung J. Med. Sci. 2020, 36, 786–792. [Google Scholar] [CrossRef] [PubMed]
  112. Fazeli, S.; Motovali-Bashi, M.; Peymani, M.; Hashemi, M.-S.; Etemadifar, M.; Nasr-Esfahani, M.H.; Ghaedi, K. A compound downregulation of SRRM2 and miR-27a-3p with upregulation of miR-27b-3p in PBMCs of Parkinson’s patients is associated with the early stage onset of disease. PLoS ONE 2020, 15, e0240855. [Google Scholar] [CrossRef]
  113. Gui, Y.; Liu, H.; Zhang, L.; Lv, W.; Hu, X. Altered microRNA profiles in cerebrospinal fluid exosome in Parkinson disease and Alzheimer disease. Oncotarget 2015, 6, 37043–37053. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  114. Alvarez-Erviti, L.; Seow, Y.; Schapira, A.H.; Rodriguez-Oroz, M.C.; Obeso, J.A.; Cooper, J.M. Influence of microRNA deregulation on chaperone-mediated autophagy and α-synuclein pathology in Parkinson’s disease. Cell Death Dis. 2013, 4, e545. [Google Scholar] [CrossRef]
  115. Hughes, A.J.; Daniel, S.E.; Ben-Shlomo, Y.; Lees, A.J. The accuracy of diagnosis of parkinsonian syndromes in a specialist movement disorder service. Brain 2002, 125, 861–870. [Google Scholar] [CrossRef] [Green Version]
  116. van Dijk, K.D.; Teunissen, C.E.; Drukarch, B.; Jimenez, C.R.; Groenewegen, H.J.; Berendse, H.W.; van de Berg, W.D. Diagnostic cerebrospinal fluid biomarkers for Parkinson’s disease: A pathogenetically based approach. Neurobiol. Dis. 2010, 39, 229–241. [Google Scholar] [CrossRef]
  117. Mushtaq, G.; Greig, N.H.; Anwar, F.; Zamzami, M.A.; Choudhry, H.; Shaik, M.M.; Tamargo, I.A.; Kamal, M.A. miRNAs as Circulating Biomarkers for Alzheimer’s Disease and Parkinson’s Disease. Med. Chem. 2016, 12, 217–225. [Google Scholar] [CrossRef]
  118. Behbahanipour, M.; Peymani, M.; Salari, M.; Hashemi, M.-S.; Nasr-Esfahani, M.H.; Ghaedi, K. Expression Profiling of Blood microRNAs 885, 361, and 17 in the Patients with the Parkinson’s disease: Integrating Interaction Data to Uncover the Possible Triggering Age-Related Mechanisms. Sci. Rep. 2019, 9, 13759. [Google Scholar] [CrossRef] [Green Version]
  119. Grossi, I.; Radeghieri, A.; Paolini, L.; Porrini, V.; Pilotto, A.; Padovani, A.; Marengoni, A.; Barbon, A.; Bellucci, A.; Pizzi, M.; et al. MicroRNA-34a-5p expression in the plasma and in its extracellular vesicle fractions in subjects with Parkinson’s disease: An exploratory study. Int. J. Mol. Med. 2021, 47, 533–546. [Google Scholar] [CrossRef]
  120. Cressatti, M.; Juwara, L.; Galindez, J.; Velly, A.M.; Nkurunziza, E.S.; Marier, S.; Canie, O.; Gornistky, M.; Schipper, H.M. Salivary microR-153 and microR-223 Levels as Potential Diagnostic Biomarkers of Idiopathic Parkinson’s Disease. Mov. Disord. 2020, 35, 468–477. [Google Scholar] [CrossRef]
  121. Xie, S.; Niu, W.; Xu, F.; Wang, Y.; Hu, S.; Niu, C. Differential expression and significance of miRNAs in plasma extracellular vesicles of patients with Parkinson’s disease. Int. J. Neurosci. 2020, 1–16. [Google Scholar] [CrossRef] [PubMed]
  122. Zahra, W.; Birla, H.; Singh, S.S.; Rathore, A.S.; Dilnashin, H.; Singh, R.; Keshri, P.K.; Gautam, P.; Singh, S.P. Neuroprotection by Mucuna pruriens in Neurodegenerative Diseases. Neurochem. Res. 2022, 1–14. [Google Scholar] [CrossRef] [PubMed]
  123. Rai, S.N.; Zahra, W.; Singh, S.S.; Birla, H.; Keswani, C.; Dilnashin, H.; Rathore, A.; Singh, R.; Singh, R.K.; Singh, S. Anti-inflammatory Activity of Ursolic Acid in MPTP-Induced Parkinsonian Mouse Model. Neurotox. Res. 2019, 36, 452–462. [Google Scholar] [CrossRef] [PubMed]
  124. Singh, S.S.; Rai, S.N.; Birla, H.; Zahra, W.; Kumar, G.; Gedda, M.R.; Tiwari, N.; Patnaik, R.; Singh, R.K.; Singh, S. Effect of Chlorogenic Acid Supplementation in MPTP-Intoxicated Mouse. Front. Pharmacol. 2018, 9, 757. [Google Scholar] [CrossRef] [Green Version]
  125. Dobson, R.; Giovannoni, G. Multiple sclerosis—A review. Eur. J. Neurol. 2019, 26, 27–40. [Google Scholar] [CrossRef] [Green Version]
  126. Alroughani, R.; Yamout, B.I. Multiple Sclerosis. Skull Base 2018, 38, 212–225. [Google Scholar] [CrossRef]
  127. Katsara, M.; Apostolopoulos, V. Editorial: Multiple Sclerosis: Pathogenesis and Therapeutics. Med. Chem. 2018, 14, 104–105. [Google Scholar] [CrossRef]
  128. Dargahi, N.; Katsara, M.; Tselios, T.; Androutsou, M.-E.; De Courten, M.; Matsoukas, J.; Apostolopoulos, V. Multiple Sclerosis: Immunopathology and Treatment Update. Brain Sci. 2017, 7, 78. [Google Scholar] [CrossRef] [Green Version]
  129. Ma, X.; Zhou, J.; Zhong, Y.; Jiang, L.; Mu, P.; Li, Y.; Singh, N.; Nagarkatti, M.; Nagarkatti, P. Expression, Regulation and Function of MicroRNAs in Multiple Sclerosis. Int. J. Med. Sci. 2014, 11, 810–818. [Google Scholar] [CrossRef] [Green Version]
  130. Jaguin, M.; Houlbert, N.; Fardel, O.; Lecureur, V. Polarization profiles of human M-CSF-generated macrophages and comparison of M1-markers in classically activated macrophages from GM-CSF and M-CSF origin. Cell. Immunol. 2013, 281, 51–61. [Google Scholar] [CrossRef]
  131. Moore, C.S.; Rao, V.T.; Msc, B.A.D.; Bedell, B.J.; Ludwin, S.K.; Bar-Or, A.; Antel, J.P. miR-155 as a multiple sclerosis-relevant regulator of myeloid cell polarization. Ann. Neurol. 2013, 74, 709–720. [Google Scholar] [CrossRef]
  132. Wu, T.; Lei, Y.; Jin, S.; Zhao, Q.; Cheng, W.; Xi, Y.; Wang, L.; Wang, Z.; Niu, X.; Chen, G. miRNA-467b inhibits Th17 differentiation by targeting eIF4E in experimental autoimmune encephalomyelitis. Mol. Immunol. 2021, 133, 23–33. [Google Scholar] [CrossRef] [PubMed]
  133. Shademan, B.; Nourazarian, A.; Nikanfar, M.; Avci, C.B.; Hasanpour, M.; Isazadeh, A. Investigation of the miRNA146a and miRNA155 gene expression levels in patients with multiple sclerosis. J. Clin. Neurosci. 2020, 78, 189–193. [Google Scholar] [CrossRef]
  134. Liu, X.; He, F.; Pang, R.; Zhao, D.; Qiu, W.; Shan, K.; Zhang, J.; Lu, Y.; Li, Y.; Wang, Y. Interleukin-17 (IL-17)-induced MicroRNA 873 (miR-873) Contributes to the Pathogenesis of Experimental Autoimmune Encephalomyelitis by Targeting A20 Ubiquitin-editing Enzyme. J. Biol. Chem. 2014, 289, 28971–28986. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  135. Pusic, A.D.; Kraig, R.P. Youth and environmental enrichment generate serum exosomes containing miR-219 that promote CNS myelination. Glia 2014, 62, 284–299. [Google Scholar] [CrossRef] [Green Version]
  136. Lindberg, R.L.P.; Hoffmann, F.; Mehling, M.; Kuhle, J.; Kappos, L. Altered expression of miR-17-5p in CD4+lymphocytes of relapsing-remitting multiple sclerosis patients. Eur. J. Immunol. 2010, 40, 888–898. [Google Scholar] [CrossRef]
  137. Marangon, D.; Boda, E.; Parolisi, R.; Negri, C.; Giorgi, C.; Montarolo, F.; Perga, S.; Bertolotto, A.; Buffo, A.; Abbracchio, M.P.; et al. In vivo silencing of miR-125a-3p promotes myelin repair in models of white matter demyelination. Glia 2020, 68, 2001–2014. [Google Scholar] [CrossRef] [PubMed]
  138. Liu, B.; Ding, Y.; Li, P.; Wang, T.; He, S.; Jia, Z.; Yang, J. MicroRNA-219c-5p regulates bladder fibrosis by targeting FN1. BMC Urol. 2020, 20, 193. [Google Scholar] [CrossRef] [PubMed]
  139. Li, Y.; Zhou, D.; Ren, Y.; Zhang, Z.; Guo, X.; Ma, M.; Xue, Z.; Lv, J.; Liu, H.; Xi, Q.; et al. Mir223 restrains autophagy and promotes CNS inflammation by targeting ATG16L1. Autophagy 2019, 15, 478–492. [Google Scholar] [CrossRef] [Green Version]
  140. Morquette, B.; Juźwik, C.A.; Drake, S.S.; Charabati, M.; Zhang, Y.; Lécuyer, M.-A.; Galloway, D.A.; Dumas, A.; de Faria Junior, O.; Paradis-Isler, N.; et al. MicroRNA-223 protects neurons from degeneration in experimental autoimmune encephalomyelitis. Brain 2019, 142, 2979–2995. [Google Scholar] [CrossRef]
  141. Ebrahimkhani, S.; Vafaee, F.; Young, P.E.; Hur, S.S.J.; Hawke, S.; Devenney, E.; Beadnall, H.; Barnett, M.H.; Suter, C.M.; Buckland, M.E. Exosomal microRNA signatures in multiple sclerosis reflect disease status. Sci. Rep. 2017, 7, 14293. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  142. Groen, K.; Maltby, V.E.; Scott, R.J.; Tajouri, L.; Lechner-Scott, J. Erythrocyte microRNAs show biomarker potential and implicate multiple sclerosis susceptibility genes. Clin. Transl. Med. 2020, 10, 74–90. [Google Scholar] [CrossRef] [PubMed]
  143. Zanoni, M.; Orlandi, E.; Rossetti, G.; Turatti, M.; Calabrese, M.; Lira, M.G.; Gajofatto, A. Upregulated serum miR-128-3p in progressive and relapse-free multiple sclerosis patients. Acta Neurol. Scand. 2020, 142, 511–516. [Google Scholar] [CrossRef]
  144. Vistbakka, J.; Sumelahti, M.-L.; Lehtimäki, T.; Elovaara, I.; Hagman, S. Evaluation of serum miR-191-5p, miR-24-3p, miR-128-3p, and miR-376c-3 in multiple sclerosis patients. Acta Neurol. Scand. 2018, 138, 130–136. [Google Scholar] [CrossRef]
  145. Moghadam, A.S.F.; Ataei, M.; Arabzadeh, G.; Falahati, K.; Roshani, F.; Sanati, M.H. Analysis of MicroRNA-18a Expression in Multiple Sclerosis Patients. Rep. Biochem. Mol. Biol. 2020, 8, 429–437. [Google Scholar]
  146. Ibrahim, S.H.; El-Mehdawy, K.M.; Seleem, M.; El-Sawalhi, M.M.; Shaheen, A.A. Serum ROCK2, miR-300 and miR-450b-5p levels in two different clinical phenotypes of multiple sclerosis: Relation to patient disability and disease progression. J. Neuroimmunol. 2020, 347, 577356. [Google Scholar] [CrossRef]
  147. Rahimirad, S.; Navaderi, M.; Alaei, S.; Sanati, M.H. Identification of hsa-miR-106a-5p as an impact agent on promotion of multiple sclerosis using multi-step data analysis. Neurol. Sci. 2021, 42, 3791–3799. [Google Scholar] [CrossRef]
  148. Quintana, E.; Ortega, F.J.; Robles-Cedeño, R.; Villar, M.L.; Buxó, M.; Mercader, J.M.; Alvarez-Cermeño, J.C.; Pueyo, N.; Perkal, H.; Fernández-Real, J.M.; et al. miRNAs in cerebrospinal fluid identify patients with MS and specifically those with lipid-specific oligoclonal IgM bands. Mult. Scler. J. 2017, 23, 1716–1726. [Google Scholar] [CrossRef]
  149. Mandolesi, G.; Rizzo, F.; Balletta, S.; Bassi, M.S.; Gilio, L.; Guadalupi, L.; Nencini, M.; Moscatelli, A.; Ryan, C.; Licursi, V.; et al. The microRNA let-7b-5p Is Negatively Associated with Inflammation and Disease Severity in Multiple Sclerosis. Cells 2021, 10, 330. [Google Scholar] [CrossRef]
  150. Zhang, J.; Zhang, Z.G.; Lu, M.; Zhang, Y.; Shang, X.; Chopp, M. MiR-146a promotes oligodendrocyte progenitor cell differentiation and enhances remyelination in a model of experimental autoimmune encephalomyelitis. Neurobiol. Dis. 2019, 125, 154–162. [Google Scholar] [CrossRef]
  151. Lecca, D.; Marangon, D.; Coppolino, G.T.; Méndez, A.M.; Finardi, A.; Costa, G.D.; Martinelli, V.; Furlan, R.; Abbracchio, M.P. MiR-125a-3p timely inhibits oligodendroglial maturation and is pathologically up-regulated in human multiple sclerosis. Sci. Rep. 2016, 6, srep34503. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  152. Duffy, C.P.; McCoy, C.E. The Role of MicroRNAs in Repair Processes in Multiple Sclerosis. Cells 2020, 9, 1711. [Google Scholar] [CrossRef] [PubMed]
  153. Siegel, S.R.; Mackenzie, J.; Chaplin, G.; Jablonski, N.G.; Griffiths, L. Circulating microRNAs involved in multiple sclerosis. Mol. Biol. Rep. 2012, 39, 6219–6225. [Google Scholar] [CrossRef]
  154. Søndergaard, H.B.; Hesse, D.; Krakauer, M.; Sorensen, P.S.; Sellebjerg, F. Differential microRNA expression in blood in multiple sclerosis. Mult. Scler. J. 2013, 19, 1849–1857. [Google Scholar] [CrossRef] [PubMed]
  155. Keller, A.; Leidinger, P.; Lange, J.; Borries, A.; Schroers, H.; Scheffler, M.; Lenhof, H.-P.; Ruprecht, K.; Meese, E. Multiple Sclerosis: MicroRNA Expression Profiles Accurately Differentiate Patients with Relapsing-Remitting Disease from Healthy Controls. PLoS ONE 2009, 4, e7440. [Google Scholar] [CrossRef] [PubMed]
  156. Regev, K.; Paul, A.; Healy, B.; von Glenn, F.; Diaz-Cruz, C.; Gholipour, T.; Mazzola, M.A.; Raheja, R.; Nejad, P.; Glanz, B.I.; et al. Comprehensive evaluation of serum microRNAs as biomarkers in multiple sclerosis. Neurol.-Neuroimmunol. Neuroinflamm. 2016, 3, e267. [Google Scholar] [CrossRef] [Green Version]
  157. Mancuso, R.; Hernis, A.; Agostini, S.; Rovaris, M.; Caputo, D.; Clerici, M. MicroRNA-572 expression in multiple sclerosis patients with different patterns of clinical progression. J. Transl. Med. 2015, 13, 148. [Google Scholar] [CrossRef] [Green Version]
  158. Honardoost, M.A.; Kiani-Esfahani, A.; Ghaedi, K.; Etemadifar, M.; Salehi, M. miR-326 and miR-26a, two potential markers for diagnosis of relapse and remission phases in patient with relapsing–remitting multiple sclerosis. Gene 2014, 544, 128–133. [Google Scholar] [CrossRef]
  159. Tabrizi, S.J.; Flower, M.; Ross, C.A.; Wild, E.J. Huntington disease: New insights into molecular pathogenesis and therapeutic opportunities. Nat. Rev. Neurol. 2020, 16, 529–546. [Google Scholar] [CrossRef]
  160. McColgan, P.; Tabrizi, S.J. Huntington’s disease: A clinical review. Eur. J. Neurol. 2017, 25, 24–34. [Google Scholar] [CrossRef]
  161. Bates, G.P.; Dorsey, R.; Gusella, J.F.; Hayden, M.R.; Kay, C.; Leavitt, B.R.; Nance, M.; Ross, C.A.; Scahill, R.I.; Wetzel, R.; et al. Huntington Disease. Nat. Rev. Dis. Primers 2015, 1, 15005. [Google Scholar] [CrossRef]
  162. Paulson, H. Repeat expansion diseases. Neurovirology 2018, 147, 105–123. [Google Scholar] [CrossRef]
  163. Evans, S.; Douglas, I.; Rawlins, M.D.; Wexler, N.S.; Tabrizi, S.; Smeeth, L. Prevalence of adult Huntington’s disease in the UK based on diagnoses recorded in general practice records. J. Neurol. Neurosurg. Psychiatry 2013, 84, 1156–1160. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  164. Ross, C.A.; Aylward, E.H.; Wild, E.; Langbehn, D.; Long, J.; Warner, J.H.; Scahill, R.; Leavitt, B.R.; Stout, J.; Paulsen, J.; et al. Huntington disease: Natural history, biomarkers and prospects for therapeutics. Nat. Rev. Neurol. 2014, 10, 204–216. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  165. Dong, X.; Cong, S. The Emerging Role of microRNAs in Polyglutamine Diseases. Front. Mol. Neurosci. 2019, 12, 156. [Google Scholar] [CrossRef]
  166. Chang, K.-H.; Wu, Y.-R.; Chen, C.-M. Down-regulation of miR-9* in the peripheral leukocytes of Huntington’s disease patients. Orphanet J. Rare Dis. 2017, 12, 185. [Google Scholar] [CrossRef] [Green Version]
  167. Martí, E.; Pantano, L.; Bañez-Coronel, M.; Llorens, F.; Miñones-Moyano, E.; Porta, S.; Sumoy, L.; Ferrer, I.; Estivill, X. A myriad of miRNA variants in control and Huntington’s disease brain regions detected by massively parallel sequencing. Nucleic Acids Res. 2010, 38, 7219–7235. [Google Scholar] [CrossRef]
  168. Díez-Planelles, C.; Sánchez-Lozano, P.; Crespo, M.D.C.; Gil Zamorano, J.; Ribacoba, R.; González, N.; Suárez, E.; Martínez-Descals, A.; Camblor, P.M.; Álvarez, V.; et al. Circulating microRNAs in Huntington’s disease: Emerging mediators in metabolic impairment. Pharmacol. Res. 2016, 108, 102–110. [Google Scholar] [CrossRef]
  169. Reed, E.R.; Latourelle, J.C.; Bockholt, J.H.; Bregu, J.; Smock, J.; Paulsen, J.S.; Myers, R.H. PREDICT-HD CSF ancillary study investigators MicroRNAs in CSF as prodromal biomarkers for Huntington disease in the PREDICT-HD study. Neurology 2018, 90, e264–e272. [Google Scholar] [CrossRef]
  170. Kim, M.; Liu, T.; Im, W.; Mook-Jung, I. MicroRNA-124 slows down the progression of Huntington′s disease by promoting neurogenesis in the striatum. Neural Regen. Res. 2015, 10, 786–791. [Google Scholar] [CrossRef]
  171. Langfelder, P.; Gao, F.; Wang, N.; Howland, D.; Kwak, S.; Vogt, T.F.; Aaronson, J.S.; Rosinski, J.; Coppola, G.; Horvath, S.; et al. MicroRNA signatures of endogenous Huntingtin CAG repeat expansion in mice. PLoS ONE 2018, 13, e0190550. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  172. Kocerha, J.; Xu, Y.; Prucha, M.S.; Zhao, D.; Chan, A.W. microRNA-128a dysregulation in transgenic Huntington’s disease monkeys. Mol. Brain 2014, 7, 46. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  173. Reynolds, R.H.; Petersen, M.H.; Willert, C.W.; Heinrich, M.; Nymann, N.; Dall, M.; Treebak, J.T.; Björkqvist, M.; Silahtaroglu, A.; Hasholt, L.; et al. Perturbations in the p53/miR-34a/SIRT1 pathway in the R6/2 Huntington’s disease model. Mol. Cell. Neurosci. 2018, 88, 118–129. [Google Scholar] [CrossRef] [PubMed]
  174. Lee, S.-T.; Chu, K.; Im, W.-S.; Yoon, H.-J.; Im, J.-Y.; Park, J.-E.; Park, K.-H.; Jung, K.-H.; Lee, S.K.; Kim, M.; et al. Altered microRNA regulation in Huntington’s disease models. Exp. Neurol. 2011, 227, 172–179. [Google Scholar] [CrossRef]
  175. Her, L.-S.; Mao, S.-H.; Chang, C.-Y.; Cheng, P.-H.; Chang, Y.-F.; Yang, H.-I.; Chen, C.-M.; Yang, S.-H. miR-196a Enhances Neuronal Morphology through Suppressing RANBP10 to Provide Neuroprotection in Huntington’s Disease. Theranostics 2017, 7, 2452–2462. [Google Scholar] [CrossRef]
  176. Peplow, P.V.; Martinez, B. Altered microRNA expression in animal models of Huntington’s disease and potential therapeutic strategies. Neural Regen. Res. 2021, 16, 2159–2169. [Google Scholar] [CrossRef]
  177. Vezzoli, E.; Caron, I.; Talpo, F.; Besusso, D.; Conforti, P.; Battaglia, E.; Sogne, E.; Falqui, A.; Petricca, L.; Verani, M.; et al. Inhibiting pathologically active ADAM10 rescues synaptic and cognitive decline in Huntington’s disease. J. Clin. Investig. 2019, 129, 2390–2403. [Google Scholar] [CrossRef]
  178. Das, E.; Jana, N.R.; Bhattacharyya, N.P. MicroRNA-124 targets CCNA2 and regulates cell cycle in STHdh/Hdh cells. Biochem. Biophys. Res. Commun. 2013, 437, 217–224. [Google Scholar] [CrossRef]
  179. Lee, S.-T.; Im, W.; Ban, J.-J.; Lee, M.; Jung, K.-H.; Lee, S.K.; Chu, K.; Kim, M. Exosome-Based Delivery of miR-124 in a Huntington’s Disease Model. J. Mov. Disord. 2017, 10, 45–52. [Google Scholar] [CrossRef]
  180. Caron, N.S.; Southwell, A.L.; Brouwers, C.C.; Cengio, L.D.; Xie, Y.; Black, H.F.; Anderson, L.M.; Ko, S.; Zhu, X.; Van Deventer, S.J.; et al. Potent and sustained huntingtin lowering via AAV5 encoding miRNA preserves striatal volume and cognitive function in a humanized mouse model of Huntington disease. Nucleic Acids Res. 2020, 48, 36–54. [Google Scholar] [CrossRef]
  181. Pfister, E.L.; DiNardo, N.; Mondo, E.; Borel, F.; Conroy, F.; Fraser, C.; Gernoux, G.; Han, X.; Hu, D.; Johnson, E.; et al. Artificial miRNAs Reduce Human Mutant Huntingtin Throughout the Striatum in a Transgenic Sheep Model of Huntington’s Disease. Hum. Gene Ther. 2018, 29, 663–673. [Google Scholar] [CrossRef] [PubMed]
  182. Arthur, K.C.; Calvo, A.; Price, T.R.; Geiger, J.T.; Chiò, A.; Traynor, B.J. Projected increase in amyotrophic lateral sclerosis from 2015 to 2040. Nat. Commun. 2016, 7, 12408. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  183. Ragagnin, A.M.G.; Shadfar, S.; Vidal, M.; Jamali, S.; Atkin, J.D. Motor Neuron Susceptibility in ALS/FTD. Front. Neurosci. 2019, 13, 532. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  184. Turner, M.R.; Al-Chalabi, A.; Chio, A.; Hardiman, O.; Kiernan, M.C.; Rohrer, J.; Rowe, J.; Seeley, W.; Talbot, K. Genetic screening in sporadic ALS and FTD. J. Neurol. Neurosurg. Psychiatry 2017, 88, 1042–1044. [Google Scholar] [CrossRef] [Green Version]
  185. Vijayakumar, U.G.; Milla, V.; Cynthia Stafford, M.Y.; Bjourson, A.J.; Duddy, W.; Duguez, S.M.-R. A Systematic Review of Suggested Molecular Strata, Biomarkers and Their Tissue Sources in ALS. Front. Neurol. 2019, 10, 400. [Google Scholar] [CrossRef] [Green Version]
  186. Volk, A.E.; Weishaupt, J.H.; Andersen, P.M.; Ludolph, A.C.; Kubisch, C. Current knowledge and recent insights into the genetic basis of amyotrophic lateral sclerosis. Med. Genet. 2018, 30, 252–258. [Google Scholar] [CrossRef] [Green Version]
  187. Chia, R.; Chiò, A.; Traynor, B.J. Novel genes associated with amyotrophic lateral sclerosis: Diagnostic and clinical implications. Lancet Neurol. 2018, 17, 94–102. [Google Scholar] [CrossRef]
  188. Sebastião, A.M.; Rei, N.; Ribeiro, J.A. Amyotrophic Lateral Sclerosis (ALS) and Adenosine Receptors. Front. Pharmacol. 2018, 9, 267. [Google Scholar] [CrossRef] [Green Version]
  189. Taylor, J.P.; Brown, R.H., Jr.; Cleveland, D.W. Decoding ALS: From genes to mechanism. Nature 2016, 539, 197–206. [Google Scholar] [CrossRef] [Green Version]
  190. Dilmaghani, N.A.; Hussen, B.M.; Nateghinia, S.; Taheri, M.; Ghafouri-Fard, S. Emerging role of microRNAs in the pathogenesis of amyotrophic lateral sclerosis. Metab. Brain Dis. 2021, 36, 737–749. [Google Scholar] [CrossRef]
  191. De Luna, N.; Turon-Sans, J.; Cortes-Vicente, E.; Carrasco-Rozas, A.; Illán-Gala, I.; Dols-Icardo, O.; Clarimón, J.; Lleó, A.; Gallardo, E.; Illa, I.; et al. Downregulation of miR-335-5P in Amyotrophic Lateral Sclerosis Can Contribute to Neuronal Mitochondrial Dysfunction and Apoptosis. Sci. Rep. 2020, 10, 4348. [Google Scholar] [CrossRef]
  192. Li, C.; Chen, Y.; Chen, X.; Wei, Q.; Ou, R.; Gu, X.; Cao, B.; Shang, H. MicroRNA-183-5p is stress-inducible and protects neurons against cell death in amyotrophic lateral sclerosis. J. Cell. Mol. Med. 2020, 24, 8614–8622. [Google Scholar] [CrossRef] [PubMed]
  193. Reichenstein, I.; Eitan, C.; Diaz-Garcia, S.; Haim, G.; Magen, I.; Siany, A.; Hoye, M.L.; Rivkin, N.; Olender, T.; Toth, B.; et al. Human genetics and neuropathology suggest a link between miR-218 and amyotrophic lateral sclerosis pathophysiology. Sci. Transl. Med. 2019, 11, eaav5264. [Google Scholar] [CrossRef] [PubMed]
  194. Loffreda, A.; Nizzardo, M.; Arosio, A.; Ruepp, M.-D.; Calogero, R.; Volinia, S.; Galasso, M.; Bendotti, C.; Ferrarese, C.; Lunetta, C.; et al. miR-129-5p: A key factor and therapeutic target in amyotrophic lateral sclerosis. Prog. Neurobiol. 2020, 190, 101803. [Google Scholar] [CrossRef] [PubMed]
  195. Matamala, J.M.; Arias-Carrasco, R.; Sanchez, C.; Uhrig, M.; Bargsted, L.; Matus, S.; Maracaja-Coutinho, V.; Abarzua, S.; van Zundert, B.; Verdugo, R.; et al. Genome-wide circulating microRNA expression profiling reveals potential biomarkers for amyotrophic lateral sclerosis. Neurobiol. Aging 2018, 64, 123–138. [Google Scholar] [CrossRef]
  196. Kurita, H.; Yabe, S.; Ueda, T.; Inden, M.; Kakita, A.; Hozumi, I. MicroRNA-5572 Is a Novel MicroRNA-Regulating SLC30A3 in Sporadic Amyotrophic Lateral Sclerosis. Int. J. Mol. Sci. 2020, 21, 4482. [Google Scholar] [CrossRef]
  197. Kmetzsch, V.; Anquetil, V.; Saracino, D.; Rinaldi, D.; Camuzat, A.; Gareau, T.; Jornea, L.; Forlani, S.; Couratier, P.; Wallon, D.; et al. Plasma microRNA signature in presymptomatic and symptomatic subjects with C9orf72-associated frontotemporal dementia and amyotrophic lateral sclerosis. J. Neurol. Neurosurg. Psychiatry 2021, 92, 485–493. [Google Scholar] [CrossRef]
  198. Dobrowolny, G.; Martone, J.; Lepore, E.; Casola, I.; Petrucci, A.; Inghilleri, M.; Morlando, M.; Colantoni, A.; Scicchitano, B.M.; Calvo, A.; et al. A longitudinal study defined circulating microRNAs as reliable biomarkers for disease prognosis and progression in ALS human patients. Cell Death Discov. 2021, 7, 4. [Google Scholar] [CrossRef]
  199. Arakawa, Y.; Itoh, S.; Fukazawa, Y.; Ishiguchi, H.; Kohmoto, J.; Hironishi, M.; Ito, H.; Kihira, T. Association between oxidative stress and microRNA expression pattern of ALS patients in the high-incidence area of the Kii Peninsula. Brain Res. 2020, 1746, 147035. [Google Scholar] [CrossRef]
  200. Kovanda, A.; Leonardis, L.; Zidar, J.; Koritnik, B.; Dolenc-Groselj, L.; Kovacic, S.R.; Curk, T.; Rogelj, B. Differential expression of microRNAs and other small RNAs in muscle tissue of patients with ALS and healthy age-matched controls. Sci. Rep. 2018, 8, 5609. [Google Scholar] [CrossRef]
  201. Benigni, M.; Ricci, C.; Jones, A.R.; Giannini, F.; Al-Chalabi, A.; Battistini, S. Identification of miRNAs as Potential Biomarkers in Cerebrospinal Fluid from Amyotrophic Lateral Sclerosis Patients. NeuroMol. Med. 2016, 18, 551–560. [Google Scholar] [CrossRef] [PubMed]
  202. Wang, L.; Zhang, L. MicroRNAs in amyotrophic lateral sclerosis: From pathogenetic involvement to diagnostic biomarker and therapeutic agent development. Neurol. Sci. 2020, 41, 3569–3577. [Google Scholar] [CrossRef] [PubMed]
  203. Banack, S.A.; Dunlop, R.A.; Cox, P.A. An miRNA fingerprint using neural-enriched extracellular vesicles from blood plasma: Towards a biomarker for amyotrophic lateral sclerosis/motor neuron disease. Open Biol. 2020, 10, 200116. [Google Scholar] [CrossRef]
  204. Yelick, J.; Men, Y.; Jin, S.; Seo, S.; Espejo-Porras, F.; Yang, Y. Elevated exosomal secretion of miR-124-3p from spinal neurons positively associates with disease severity in ALS. Exp. Neurol. 2020, 333, 113414. [Google Scholar] [CrossRef] [PubMed]
  205. Si, Y.; Cui, X.; Crossman, D.K.; Hao, J.; Kazamel, M.; Kwon, Y.; King, P.H. Muscle microRNA signatures as biomarkers of disease progression in amyotrophic lateral sclerosis. Neurobiol. Dis. 2018, 114, 85–94. [Google Scholar] [CrossRef] [PubMed]
  206. Varcianna, A.; Myszczynska, M.A.; Castelli, L.M.; O’Neill, B.; Kim, Y.; Talbot, J.; Nyberg, S.; Nyamali, I.; Heath, P.R.; Stopford, M.J.; et al. Micro-RNAs secreted through astrocyte-derived extracellular vesicles cause neuronal network degeneration in C9orf72 ALS. EBioMedicine 2019, 40, 626–635. [Google Scholar] [CrossRef] [Green Version]
  207. Martier, R.; Liefhebber, J.M.; Miniarikova, J.; van der Zon, T.; Snapper, J.; Kolder, I.; Petry, H.; van Deventer, S.J.; Evers, M.M.; Konstantinova, P. Artificial MicroRNAs Targeting C9orf72 Can Reduce Accumulation of Intra-nuclear Transcripts in ALS and FTD Patients. Mol. Ther.-Nucleic Acids 2019, 14, 593–608. [Google Scholar] [CrossRef] [Green Version]
  208. Tung, Y.-T.; Peng, K.-C.; Chen, Y.-C.; Yen, Y.-P.; Chang, M.; Thams, S.; Chen, J.-A. Mir-17~92 Confers Motor Neuron Subtype Differential Resistance to ALS-Associated Degeneration. Cell Stem Cell 2019, 25, 193–209.e7. [Google Scholar] [CrossRef]
  209. Butovsky, O.; Jedrychowski, M.P.; Cialic, R.; Krasemann, S.; Murugaiyan, G.; Fanek, Z.; Greco, D.J.; Wu, P.M.; Doykan, C.E.; Kiner, O.; et al. Targeting miR-155 restores abnormal microglia and attenuates disease in SOD1 mice. Ann. Neurol. 2015, 77, 75–99. [Google Scholar] [CrossRef]
  210. Nolan, K.; Mitchem, M.R.; Jimenez-Mateos, E.M.; Henshall, D.C.; Concannon, C.G.; Prehn, J.H.M. Increased Expression of MicroRNA-29a in ALS Mice: Functional Analysis of Its Inhibition. J. Mol. Neurosci. 2014, 53, 231–241. [Google Scholar] [CrossRef]
  211. Juźwik, C.A.; Drake, S.S.; Zhang, Y.; Paradis-Isler, N.; Sylvester, A.; Amar-Zifkin, A.; Douglas, C.; Morquette, B.; Moore, C.S.; Fournier, A.E. microRNA dysregulation in neurodegenerative diseases: A systematic review. Prog. Neurobiol. 2019, 182, 101664. [Google Scholar] [CrossRef] [PubMed]
  212. Konovalova, J.; Gerasymchuk, D.; Parkkinen, I.; Chmielarz, P.; Domanskyi, A. Interplay between MicroRNAs and Oxidative Stress in Neurodegenerative Diseases. Int. J. Mol. Sci. 2019, 20, 6055. [Google Scholar] [CrossRef] [Green Version]
  213. Brahimi, F.; Maira, M.; Barcelona, P.; Galan, A.; Aboulkassim, T.; Teske, K.; Rogers, M.-L.; Bertram, L.; Wang, J.; Yousefi, M.; et al. The Paradoxical Signals of Two TrkC Receptor Isoforms Supports a Rationale for Novel Therapeutic Strategies in ALS. PLoS ONE 2016, 11, e0162307. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  214. Guerau-De-Arellano, M.; Smith, K.M.; Godlewski, J.; Liu, Y.; Winger, R.; Lawler, S.E.; Whitacre, C.C.; Racke, M.K.; Lovett-Racke, A.E. Micro-RNA dysregulation in multiple sclerosis favours pro-inflammatory T-cell-mediated autoimmunity. Brain 2011, 134, 3578–3589. [Google Scholar] [CrossRef]
  215. Ye, M.; Chen, Y.; Xie, J.; Yu, M.; Shi, P.; Xu, W.; Gui, Z.; Liu, X. miRNA-140-5p Play an Important Role of Parkinson’s Disease Development. J. Biomater. Tissue Eng. 2018, 8, 1566–1572. [Google Scholar] [CrossRef]
  216. Liu, R.; Li, Y.; Zhou, H.; Wang, H.; Liu, D.; Wang, H.; Wang, Z. WITHDRAWN: OIP5-AS1 facilitates Th17 differentiation and EAE severity by targeting miR-140-5p to regulate RhoA/ROCK2 signaling pathway. Life Sci. 2021, 119108. [Google Scholar] [CrossRef]
  217. Zhu, S.; Zhang, X.; Guan, H.; Huang, F.; Wu, L.; Hou, D.; Zheng, Z.; Yu, M.; Huang, L.; Ge, L. miR-140-5p regulates T cell differentiation and attenuates experimental autoimmune encephalomyelitis by affecting CD4+T cell metabolism and DNA methylation. Int. Immunopharmacol. 2019, 75, 105778. [Google Scholar] [CrossRef] [PubMed]
  218. Xie, B.; Liu, Z.; Jiang, L.; Liu, W.; Song, M.; Zhang, Q.; Zhang, R.; Cui, D.; Wang, X.; Xu, S. Increased Serum miR-206 Level Predicts Conversion from Amnestic Mild Cognitive Impairment to Alzheimer’s Disease: A 5-Year Follow-up Study. J. Alzheimer’s Dis. 2017, 55, 509–520. [Google Scholar] [CrossRef]
  219. Zhao, Y.; Zhang, Y.; Zhang, L.; Dong, Y.; Ji, H.; Shen, L. The Potential Markers of Circulating microRNAs and long non-coding RNAs in Alzheimer’s Disease. Aging Dis. 2019, 10, 1293–1301. [Google Scholar] [CrossRef] [Green Version]
  220. Wang, C.-N.; Wang, Y.-J.; Wang, H.; Song, L.; Chen, Y.; Wang, J.-L.; Ye, Y.; Jiang, B. The Anti-dementia Effects of Donepezil Involve miR-206-3p in the Hippocampus and Cortex. Biol. Pharm. Bull. 2017, 40, 465–472. [Google Scholar] [CrossRef] [Green Version]
  221. Aloi, M.S.; Prater, K.E.; Sopher, B.; Davidson, S.; Jayadev, S.; Garden, G.A. The pro-inflammatory microRNA miR-155 influences fibrillar β-Amyloid 1-42 catabolism by microglia. Glia 2021, 69, 1736–1748. [Google Scholar] [CrossRef] [PubMed]
  222. Readhead, B.; Haure-Mirande, J.-V.; Mastroeni, D.; Audrain, M.; Fanutza, T.; Kim, S.H.; Blitzer, R.D.; Gandy, S.; Dudley, J.T.; Ehrlich, M.E. miR155 regulation of behavior, neuropathology, and cortical transcriptomics in Alzheimer’s disease. Acta Neuropathol. 2020, 140, 295–315. [Google Scholar] [CrossRef] [PubMed]
  223. Miniarikova, J.; Zimmer, V.; Martier, R.; Brouwers, C.C.; Pythoud, C.; Richetin, K.; Rey, M.; Lubelski, J.; Evers, M.; Van Deventer, S.J.; et al. AAV5-miHTT gene therapy demonstrates suppression of mutant huntingtin aggregation and neuronal dysfunction in a rat model of Huntington’s disease. Gene Ther. 2017, 24, 630–639. [Google Scholar] [CrossRef] [PubMed]
  224. Cunha, C.; Santos, C.; Gomes, C.; Fernandes, A.; Correia, A.M.; Sebastião, A.M.; Vaz, A.R.; Brites, D. Downregulated Glia Interplay and Increased miRNA-155 as Promising Markers to Track ALS at an Early Stage. Mol. Neurobiol. 2018, 5, 4207–4224. [Google Scholar] [CrossRef] [PubMed]
  225. Thome, A.D.; Harms, A.S.; Volpicelli-Daley, L.A.; Standaert, D.G. microRNA-155 Regulates Alpha-Synuclein-Induced Inflammatory Responses in Models of Parkinson Disease. J. Neurosci. 2016, 36, 2383–2390. [Google Scholar] [CrossRef] [PubMed]
  226. Caggiu, E.; Paulus, K.; Mameli, G.; Arru, G.; Sechi, G.P.; Sechi, L.A. Differential expression of miRNA 155 and miRNA 146a in Parkinson’s disease patients. eNeurologicalSci 2018, 13, 1–4. [Google Scholar] [CrossRef]
  227. Mazloumfard, F.; Mirian, M.; Eftekhari, S.-M.; Aliomrani, M. Hydroxychloroquine effects on miR-155-3p and miR-219 expression changes in animal model of multiple sclerosis. Metab. Brain Dis. 2020, 35, 1299–1307. [Google Scholar] [CrossRef]
  228. He, B.; Chen, W.; Zeng, J.; Tong, W.; Zheng, P. MicroRNA-326 decreases tau phosphorylation and neuron apoptosis through inhibition of the JNK signaling pathway by targeting VAV1 in Alzheimer’s disease. J. Cell. Physiol. 2020, 235, 480–493. [Google Scholar] [CrossRef]
  229. Gu, R.; Liu, R.; Wang, L.; Tang, M.; Li, S.-R.; Hu, X. LncRNA RPPH1 attenuates Aβ25-35-induced endoplasmic reticulum stress and apoptosis in SH-SY5Y cells via miR-326/PKM2. Int. J. Neurosci. 2020, 131, 425–432. [Google Scholar] [CrossRef]
  230. De Felice, B.; Manfellotto, F.; Fiorentino, G.; Annunziata, A.; Biffali, E.; Pannone, R.; Federico, A. Wide-Ranging Analysis of MicroRNA Profiles in Sporadic Amyotrophic Lateral Sclerosis Using Next-Generation Sequencing. Front. Genet. 2018, 9, 310. [Google Scholar] [CrossRef]
  231. Zhang, Y.; Xu, W.; Nan, S.; Chang, M.; Fan, J. MicroRNA-326 Inhibits Apoptosis and Promotes Proliferation of Dopaminergic Neurons in Parkinson’s Disease Through Suppression of KLK7-Mediated MAPK Signaling Pathway. J. Mol. Neurosci. 2019, 69, 197–214. [Google Scholar] [CrossRef]
  232. Zhao, X.; Wang, Y.; Yang, J.; Liu, H.; Wang, L. MicroRNA-326 suppresses iNOS expression and promotes autophagy of dopaminergic neurons through the JNK signaling by targeting XBP1 in a mouse model of Parkinson’s disease. J. Cell. Biochem. 2019, 120, 14995–15006. [Google Scholar] [CrossRef]
  233. Azimi, M.; Ghabaee, M.; Moghadasi, A.N.; Izad, M. Altered Expression of miR-326 in T Cell-derived Exosomes of Patients with Relapsing-remitting Multiple Sclerosis. Iran. J. Allergy Asthma Immunol. 2019, 18, 108–113. [Google Scholar] [CrossRef] [Green Version]
  234. Deng, M.; Zhang, Q.; Wu, Z.; Ma, T.; He, A.; Zhang, T.; Ke, X.; Yu, Q.; Han, Y.; Lu, Y. Mossy cell synaptic dysfunction causes memory imprecision via miR-128 inhibition of STIM2 in Alzheimer’s disease mouse model. Aging Cell 2020, 19, e13144. [Google Scholar] [CrossRef] [Green Version]
  235. Rehfeld, F.; Maticzka, D.; Grosser, S.; Knauff, P.; Eravci, M.; Vida, I.; Backofen, R.; Wulczyn, F.G. The RNA-binding protein ARPP21 controls dendritic branching by functionally opposing the miRNA it hosts. Nat. Commun. 2018, 9, 1235. [Google Scholar] [CrossRef]
  236. Liguori, M.; Nuzziello, N.; Introna, A.; Consiglio, A.; Licciulli, F.; D’Errico, E.; Scarafino, A.; Distaso, E.; Simone, I.L. Dysregulation of MicroRNAs and Target Genes Networks in Peripheral Blood of Patients with Sporadic Amyotrophic Lateral Sclerosis. Front. Mol. Neurosci. 2018, 11, 288. [Google Scholar] [CrossRef]
  237. Zhou, L.; Yang, L.; Li, Y.-J.; Mei, R.; Yu, H.-L.; Gong, Y.; Du, M.-Y.; Wang, F. MicroRNA-128 Protects Dopamine Neurons from Apoptosis and Upregulates the Expression of Excitatory Amino Acid Transporter 4 in Parkinson’s Disease by Binding to AXIN1. Cell. Physiol. Biochem. 2018, 51, 2275–2289. [Google Scholar] [CrossRef]
  238. Akhter, R.; Shao, Y.; Shaw, M.; Formica, S.; Khrestian, M.; Leverenz, J.B.; Bekris, L.M. Regulation of ADAM10 by miR-140-5p and potential relevance for Alzheimer’s disease. Neurobiol. Aging 2018, 63, 110–119. [Google Scholar] [CrossRef]
  239. Liang, C.; Mu, Y.; Tian, H.; Wang, D.; Zhang, S.; Wang, H.; Liu, Y.; Di, C. MicroRNA-140 silencing represses the incidence of Alzheimer’s disease. Neurosci. Lett. 2021, 758, 135674. [Google Scholar] [CrossRef]
  240. Waller, R.; Goodall, E.; Milo, M.; Cooper-Knock, J.; Da Costa, M.; Hobson, E.; Kazoka, M.; Wollff, H.; Heath, P.R.; Shaw, P.; et al. Serum miRNAs miR-206, 143-3p and 374b-5p as potential biomarkers for amyotrophic lateral sclerosis (ALS). Neurobiol. Aging 2017, 55, 123–131. [Google Scholar] [CrossRef]
Figure 1. Complexity of the links between different miRNAs and molecular pathways–targets involved in neurodegenerative diseases.
Figure 1. Complexity of the links between different miRNAs and molecular pathways–targets involved in neurodegenerative diseases.
Ijms 23 04718 g001
Figure 2. miRNA interconnection among NDs. ↑: upregulated; ↓: downregulated.
Figure 2. miRNA interconnection among NDs. ↑: upregulated; ↓: downregulated.
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Table 1. Profile of miRNAs proposed as Alzheimer’s disease biomarkers.
Table 1. Profile of miRNAs proposed as Alzheimer’s disease biomarkers.
miRNASourceCohortCriteriaTargetAlterationReference
miR-483-5pPlasma40 AD
40 MCI
20 HC
MMSE-FDLA
DR-MOCA
Not mentioned[46]
miR-34aPlasma21 + 15 AD 21 + 15 MCI 21 + 15 HCMMSEPresynaptic-related protein: VAMP2, SYT1
Antiapoptotic protein: BCL-2
[73]
miR-23Serum30 AD
30 HC
MMSE-ROCNot mentioned[77]
miR-30b-5pBlood derived EVs8 + 40 AD
8 + 40 HC
ROCNot mentioned[80]
miR-22-3pMAPK14
miR-378a-3pMAPK14, GOLT1A, PARVA, MAPK1, IGF1R, HDAC4
miR-212Brain5 AD
5 HPC
5 HC
ROCNot mentioned[81]
miR-132CSF11 AD
7 HPC
9 CT
ITPKB
Plasma-derived EVs16 AD
16 AD-MCI 31 CT
miR-30a-5p
miR-34c
miR-27a-3p
CSF
EVs
23 + 19 AD 17 MCI
HC 18
MMSEBDNF
p53, SIRT1
Not mentioned
[82,84]
miR-146aBlood19 progressor MCI
26 stable MCI
MMSETLR2, RyanR3[83]
miR-181aFidgetin, BCL-2, SIRT1, RyanR3
AD: Alzheimer’s disease; BDNF: brain-derived neurotrophic factor; BCL-2: B-cell lymphoma 2; CSF: cerebrospinal fluid; DR: dementia rating; EVs: extracellular vesicles; FDLA: functional daily living activity; GOLT1A: Golgi transport 1A; HC: healthy controls; HPC: high anthropological controls; HDAC4: Histone deacetylase 4; ITPKB: inositol-trisphosphate 3-kinase B; IGF1R: insulin-like growth factor 1; MCI: mild cognitive impairment; MMSE: mini-mental state examination; MAPK14: mitogen-activated protein kinase 14; MOCA: Montreal cognitive assessment; PARVA: Parvin alpha; ROC: receiver operating characteristic; RyanR3: ryanodine receptor 3; SIRT1: sirtuin 1; SYT1: synaptotagmin-1; TLR2: toll-like receptor 2 precursor; VAMP2: vesicle associated membrane protein 2; ↑: upregulated; ↓: downregulated.
Table 2. Profile of miRNAs proposed as Parkinson’s disease biomarkers.
Table 2. Profile of miRNAs proposed as Parkinson’s disease biomarkers.
miRNASourceCohortCriteriaTarget AlterationReference
miR-150Serum80 PD
60 HC
Hoehn-Yahr scaleAKT3[109]
miR-626CSF20 PD
27 HC
Hoehn-Yahr stageNot mentioned[110]
miR-27b-3p
miR-27a-3p
PBMCs30 PD
14 HC
Hoehn-Yahr stageSRRM2
[112]
miR-885PBMCs36 PD
16 HC
Hoehn-Yahr stageIGF1R, CTNNB1, MAN1C1, OXR1[118]
miR-17E2F1, WEE1, CCND1 - CDKN1A (p21), PTEN, BCL2L11 (BIM), RB1, RBL1 (p107), RBL2 (p130)
miR-361STAT6. GABPA, BCL6, HIF1A, OXR1
miR-26aCSF28 PD
4 HC
Hoehn-Yahr stageDAPK1 protein[102]
miR-34a-5pPlasma EV 15 PD
14 HC
UPDRS, Hoehn-Yahr stage, BDID1, SIRT1, BCL-2[119]
miR-153
miR-223
Saliva84 PD
83 HC
UPDRS, Hoehn-Yahr stageSNCA, HMOX1[120]
miR-30c-2-3pPlasma EVs30 PD
30 HC
MDS, Hoehn-Yahr stageTNFAIP8L2, NAMPT…[121]
miR-15b-5pPAX7, SALL1, PTPRR
miR-138-5pCLMP, KANK1, LMAN1
miR-338-3pPTEN, FRMD3, ATXN7L
miR-106b-3pZNF827
miR-431-5pCD34, NR3C2, FAM65B
BDI: Beck Depression Inventory (evaluation of depression of PD patients); CSF: cerebrospinal fluid; DAPK1: death-associated protein kinase 1; EV: extracellular vesicle; HC: healthy controls; MDS: International Parkinson and Movement Disorder Society; PD: Parkinson’s disease; PBMCs: peripheral blood mononuclear cells; UPDRS: Unified Parkinson’s disease rating scale; ↑: upregulated; ↓: downregulated.
Table 3. Profile of miRNAs proposed as multiple sclerosis biomarkers.
Table 3. Profile of miRNAs proposed as multiple sclerosis biomarkers.
miRNASourceCohortCriteriaTarget & RolesAlterationReference
miR-182-5p
miR-183-5p
Blood erythrocyte-derived EV23 MS
22 HC
McDonald, ARMSS, MSSS, EDSS scoresGlossopharyngeal nerve development,
Histone H3-K27 demethylation
[142]
miR-128-3pSerum74 MS
17 HC
EDSS scoreTh1 response
p53 Pro-apoptotic pathway
[143,144]
miR-191-5pSerum53 RRMS
20 PPMS
27 HC
EDSS scoreBDNF expression
Neuronal and immune cell apoptosis
[144]
miR-24-3pBIM
PUMA
Th1/Th2 balance regulation
miR-18a-5pBlood32 MS
32 HC
Complementary, diagnostic testsp53 MAPK signaling pathway
Apoptosis pathway Th17 cell differentiation
[145]
miR-146a miR-155Serum30 MS
30 HC
EDSS scoreTh1 and Th17 differentiation[133]
miR-300Serum39 RRMS
35 SPMS
10 HC
McDonald, EDSSVasohibin 2 gene
Neuron differentiation
[146]
miR-450b-5pSOX2 and PTPRZ1 genes
Neuron differentiation and development
Neurogenesis regulation
miR-106a-5pBlood32 MS
32 HC
Not mentionedRBL2, APP, CYP19A1, BMP2[147]
miR-150
miR-328
CSF86 MS
55 OND
McDonald 2010Not mentioned[148]
miR-30a-5p miR-645
miR-21
miR-199a-3p
miR-191
miR-365
miR-106a miR-146a
let-7b-5pCSF141 MS
20 HC
McDonald 2010, EDSSInflammation
Neuronal homeostasis
RNA metabolism
Anti-Inflammatory
Regulator of cytokines, chemokines, growth factors
[149]
ARMSS: age-related multiple sclerosis severity scores; BDNF: brain-derived neurotrophic factor; BIM: Bcl-2-like protein 11; CSF: cerebrospinal fluid; EVs: extracellular vesicles; EDSS: expanded disability status scale; HC: healthy control; MAPK: mitogen-activated protein kinase; MS: multiple sclerosis; MSSS: multiple sclerosis severity scores; PPMS: primary progressive MS; PUMA: p53 upregulated modulator of apoptosis; OND: other neurological diseases; RRMS: relapsing–remitting MS; RNA: Ribonucleic acid; Th17: T-helper 17; ↑: upregulated; ↓: downregulated.
Table 4. miRNAs’ expressions and roles in Huntington disease models.
Table 4. miRNAs’ expressions and roles in Huntington disease models.
miRNARole in HD pathophysiologyModelAlterationReference
miR-128aMetabolic pathways, particularly cholesterol (affected by mutant HTT)Human plasma[168]
miR-122-5p
miR-140-5pRegulation of ADAM10 expressionHuman CSF[169,177]
miR-124Regulator of neuronal differentiation and survivalSTHdhQ111/HdhQ111 cells
R6/2 mouse striatum
[170,178]
miR-34a-5pNeuronal development
Brain ageing
Metabolic regulation
p53/miR-34a/SIRT1 pathway
Brain
CAG144 R6/2 mouse
[84,173]
miR-196aCytoskeleton modification
RANBP10 regulation
HD-iPSCs
R6/2 mouse brain
RANBP10-R6/2 mouse brain
[175]
ADM10: A disintegrin and metalloproteinase 10; CSF: cerebrospinal fluid; HD: Huntington disease; HTT: huntingtin; iPSCs: induced pluripotent stem cells; RANBP10: RAN binding protein 10; SIRT1: sirtuin1; ↑: upregulated; ↓: downregulated.
Table 5. Profile of miRNAs proposed as Huntington’s disease biomarkers.
Table 5. Profile of miRNAs proposed as Huntington’s disease biomarkers.
miRNASourceCohortCriteriaTargetRegulationReference
miR-10b-5p
miR-486-5p
Plasma26 HD,
4 asymptomatic HD
8 HC
Not mentionedHTT, BDNF
Not mentioned
[161]
miR-9*Peripheral leukocytes36 HD
8 pre-symptomatic HD
28 HC
UHDRSHTT, CoREST[166]
miR-34bPlasma27 HD
12 HC
UHDRS, TFCHTT[167]
miR-128aPlasma15 HD
7 HC
UHDRS, TFCHTT, HIP1, SP1…[168]
miR-122-5pAACS, ADAM10, BCL2…
miR-520f-3p
miR-135b-3p
miR-4317
miR-3928-5p
miR-8082
miR-140-5p
CSF30 Prodromal HD
15 diagnosed HD
10 HC
UHDRSNot mentioned[169]
CSF: cerebrospinal fluid; HC: healthy control; HD: Huntington’s disease; CoREST: corepressor of repressor element 1-silencing transcription factor; TFC: total functional capacity; UHDRS: unified Huntington’s disease rating scale; ↑: upregulated; ↓: downregulated.
Table 6. Profile of miRNAs proposed as amyotrophic lateral sclerosis disease biomarkers.
Table 6. Profile of miRNAs proposed as amyotrophic lateral sclerosis disease biomarkers.
miRNASourceCohortCriteriaTargetAlterationReference
miR-129-5pBlood27 sALS
25 HC
ALS-FR scoreHuD control by ELAVL4
splicing, translation, localization, and stability of neuronal RNAs are controlled by HuD
[194]
miR-206, miR-151a-5pSerum27 ALS
13 HC
ALS-FR scoreNot mentioned↑: mild stage
↓: moderate and severe stages
[198]
miR-133a, miR-199a-5p
miR-423-3p and 151a-5p↓ mild and terminal stages
miR-92a-3p, miR-486-5pSerum14 ALS 47 HCEI scoreNε-hexanoyl lysin (an early phase oxidative stress marker reflects neuronal degeneration)[199]
miR-10a precursorMuscle biopsy12 ALS
11 HC
ALS-FR scoreAlsin[200]
miR-125a-5p + precursorNF-kB activation (neuro-inflammation)
miR-1291 precursorATXN2 and DCTN1
miR-1260a-5pTDP43
miR-30d precursorC9orf72 (Other proteins related to ALS pathology)
miR-181a-5pCSF24 sALS
24 HC
EI scoreC9orf72[201]
miR-21-5p
miR-15b-5p
ALS: amyotrophic lateral sclerosis; ALS-FRS: ALS Functional Rating Score; ATXN2: ataxin-2; CSF: cerebrospinal fluid; DCTN1: dynactin subunit 1; EI: EI Escorial revised criteria; HC: healthy controls; HUD: ELAV-like protein 4; NF-kB: nuclear factor kappa B; RNA: Ribonucleic acid; sALS: sporadic ALS; TDP43: TAR DNA-binding protein 43. ↑: upregulated; ↓: downregulated.
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Nguyen, T.P.N.; Kumar, M.; Fedele, E.; Bonanno, G.; Bonifacino, T. MicroRNA Alteration, Application as Biomarkers, and Therapeutic Approaches in Neurodegenerative Diseases. Int. J. Mol. Sci. 2022, 23, 4718. https://doi.org/10.3390/ijms23094718

AMA Style

Nguyen TPN, Kumar M, Fedele E, Bonanno G, Bonifacino T. MicroRNA Alteration, Application as Biomarkers, and Therapeutic Approaches in Neurodegenerative Diseases. International Journal of Molecular Sciences. 2022; 23(9):4718. https://doi.org/10.3390/ijms23094718

Chicago/Turabian Style

Nguyen, T. P. Nhung, Mandeep Kumar, Ernesto Fedele, Giambattista Bonanno, and Tiziana Bonifacino. 2022. "MicroRNA Alteration, Application as Biomarkers, and Therapeutic Approaches in Neurodegenerative Diseases" International Journal of Molecular Sciences 23, no. 9: 4718. https://doi.org/10.3390/ijms23094718

APA Style

Nguyen, T. P. N., Kumar, M., Fedele, E., Bonanno, G., & Bonifacino, T. (2022). MicroRNA Alteration, Application as Biomarkers, and Therapeutic Approaches in Neurodegenerative Diseases. International Journal of Molecular Sciences, 23(9), 4718. https://doi.org/10.3390/ijms23094718

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