Next Article in Journal
Ionic Mechanisms of Propagated Repolarization in a One-Dimensional Strand of Human Ventricular Myocyte Model
Previous Article in Journal
The Application of MicroRNAs in Glaucoma Research: A Bibliometric and Visualized Analysis
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Ubiquitin Proteasome System Role in Diabetes-Induced Cardiomyopathy

by
Ortal Nahum-Ankonina
1,2,†,
Efrat Kurtzwald-Josefson
1,†,
Aaron Ciechanover
3,
Maayan Waldman
1,
Orna Shwartz-Rohaker
1,
Edith Hochhauser
1,2,
Sam J. Meyer
1,2,
Dan Aravot
1,2,
Moshe Phillip
2,4 and
Yaron D. Barac
1,2,*
1
The Division of Cardiovascular and Thoracic Surgery, Rabin Medical Center, Petach-Tikva 4941492, Israel
2
Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv 6997801, Israel
3
The Ruth & Bruce Rappaport Faculty of Medicine, Technion—Israel Institute of Technology, Haifa 3109601, Israel
4
The Division of Endocrinology, Schneider Medical Center, Petach-Tikva 4920235, Israel
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Int. J. Mol. Sci. 2023, 24(20), 15376; https://doi.org/10.3390/ijms242015376
Submission received: 9 August 2023 / Revised: 28 September 2023 / Accepted: 2 October 2023 / Published: 19 October 2023
(This article belongs to the Section Biochemistry)

Abstract

:
This study investigated modifications to the ubiquitin proteasome system (UPS) in a mouse model of type 2 diabetes mellitus (T2DM) and their relationship to heart complications. db/db mice heart tissues were compared with WT mice tissues using RNA sequencing, qRT-PCR, and protein analysis to identify cardiac UPS modifications associated with diabetes. The findings unveiled a distinctive gene profile in the hearts of db/db mice with decreased levels of nppb mRNA and increased levels of Myh7, indicating potential cardiac dysfunction. The mRNA levels of USP18 (deubiquitinating enzyme), PSMB8, and PSMB9 (proteasome β-subunits) were down-regulated in db/db mice, while the mRNA levels of RNF167 (E3 ligase) were increased. Corresponding LMP2 and LMP7 proteins were down-regulated in db/db mice, and RNF167 was elevated in Adult diabetic mice. The reduced expression of LMP2 and LMP7, along with increased RNF167 expression, may contribute to the future cardiac deterioration commonly observed in diabetes. This study enhances our understanding of UPS imbalances in the hearts of diabetic mice and raises questions about the interplay between the UPS and other cellular processes, such as autophagy. Further exploration in this area could provide valuable insights into the mechanisms underlying diabetic heart complications and potential therapeutic targets.
Keywords:
UPS; T2DM; heart

1. Introduction

Type 2 diabetes mellitus (T2DM) is a disease commonly attributed to pancreatic insufficiency, inadequate insulin secretion, or increased insulin resistance, and accounts for the majority of all diabetes cases worldwide [1]. The number of people with T2DM has dramatically increased over the past decade and is expected to reach 592 million by 2035 [2]. This growing prevalence, combined with the increasingly early onset of the disease, has established T2DM as a global health concern and garnered significant attention in the literature over the past decade [3]. T2DM patients have been shown to carry a higher risk of numerous complications, including cardiovascular diseases [4], as T2DM compromises the cardiac tissue, causing cell damage, impaired calcium homeostasis, mitochondrial dysfunction, changes in muscle fibers, oxidative stress, and inflammation [5,6]. All of these cellular changes have been shown to cause heart failure and ischemic heart disease [7].
The UPS plays a central role in the regulation of many cellular processes in the body, such as cell cycle [8], cellular signaling [9] and programmed cell death [10]; consequently, deviations in UPS activity underlie the pathogenesis of various diseases [11]. Specifically, the UPS oversees cellular protein quality control by driving the degradation of misfolded and/or damaged proteins via the poly-ubiquitination of target proteins. There are three types of enzymes that promote this process: ubiquitin-activating enzymes (E1), ubiquitin-conjugating enzymes (E2), and ubiquitin-ligating enzymes (E3). Initially, E1 binds a ubiquitin molecule forming an ATP-dependent thioester linkage. The ubiquitin relocates to an E2 enzyme, which either transfers the ubiquitin to E3 directly or binds to E3 as an adaptor protein. Together, E2 and E3 attach ubiquitin to a lysine residue on the target protein [12,13] (Figure 1A). E3 ubiquitin ligases are known to define the substrate and tissue specificity of the UPS and are considered to play a significant role in maintaining protein quality control. This role is especially vital in maintaining cardiac tissue function due to its poor regenerative capacity [14]. After a cellular protein is tagged with a chain of at least four ubiquitin molecules, it is recognized and degraded by the 26S proteasome complex [13]. The barrel-shaped proteasome contains a 20S core particle and a 19S regulatory particle (RP) that binds 20S bilaterally, forming a 19S–20S–19S (30S) complex. 20S is responsible for the complex’s ATP-dependent catalytic activity and is composed of two external α rings and two internal β rings [15], with each ring comprising seven distinct subunits (α 1-7, β 1-7). In some cases, an 11S (PA28) RP replaces the 19S, forming either the 11S–20S–11S or the 19S–20S–11S hybrid (Figure 1B). These forms enable ubiquitin-independent degradation [16]. Some 11S–20S–11S complexes contain replacements of the 1, 2 and 5 β subunits with inducible counterparts, such as β1i (LMP2, encoded by PSMB9), β2i (MECL-1, encoded by PSMB10) and β5i (LMP7, encoded by PSMB8), respectively [17]. This transformation is triggered by IFN-γ and is referred to as the ‘immunoproteasome’.
Numerous studies have demonstrated the role of the UPS in the progression of cardiovascular diseases, including cardiac hypertrophy and heart failure [1,2,3]. Poor protein quality control (PQC) can lead to an undesirable accumulation of protein aggregates and increased levels of pro-hypertrophic and pro-apoptotic factors, which promote disease pathogenesis [4]. However, aside from its direct role in the degradation and clearance of above 90% of all misfolded, oxidized, and damaged proteins, the UPS also impacts cardiac, β-adrenergic signaling, cell excitability, conductance, and insulin gene transcription regulation [3,5]. The UPS is responsible for the degradation of the insulin receptor and the insulin receptor substrate, thereby contributing to insulin resistance and deficiency [3].
The UPS also regulates the transcription factors (TFs) that play major roles in diabetic cardiomyopathy (DCM). Peroxisome proliferator-activated receptor α (PPARα), the regulator of lipid metabolism, for example, is inhibited by MuRF1, an E3 ligase [3]. A study highlighting the role of ubiquilin1 in cardiac ubiquitination–proteasome coupling demonstrated that inadequacy may cause increased levels of myocardial ubiquitinated proteins, late-onset cardiomyopathy, and a shortened life span [6]. Studies have found that the UPS is modified in patients with diabetic nephropathy, the main cause of renal failure in diabetic patients [7]. Studies of heart disease have revealed that impaired UPS function can alone cause cardiomyopathy and heart failure [8]. Despite the compelling evidence pointing towards the important role of the UPS in cardiac function, and specifically in DCM [8], its full role has yet to be extensively researched [3].
Considering the cardiac changes that occur in the diabetic heart, we hypothesized that UPS malfunction might play a central role in early diabetes, leading to cardiac pathology. These changes may set the stage for future diabetes-induced heart failure and deterioration. Our aim was to identify such early events that might provide a better understanding of the mechanisms leading to diabetes-induced heart failure and inform the future treatment of these patients.

2. Results

db/db mice were used to explore the effects of the UPS in diabetes-induced cardiomyopathy [18,19,20]. Blood glucose levels, body weight, heart weight, and heart/body weight ratio were measured in Young and Adult db/db and WT mice (Figure 2). Glucose levels were higher in Adult db/db mice compared to Adult WT mice, (p < 0.0001), (Figure 2A). Furthermore, the body weight of both Young and Adult db/db mice was significantly higher than that of age-matched WT mice (Figure 2B). The heart weight was not significantly different between the study groups (Figure 2C); the heart/body weight ratio was significantly lower in db/db compared to WT mice, in both adult and young groups (Figure 2D).
Echocardiographic (ECHO) recordings of 16-week-old db/db and WT mice were taken (Table 1). The results identified a smaller left ventricular end systolic diameter (LVESD) in db/db mice compared to WT mice (p < 0.05), and a tendency towards a higher-end diastolic dimension. No other echocardiographic parameters, including the fractional shortening (FS), were significantly different between the groups.
Proteasome activity is different in db/db mice. Proteins extracted from the hearts of Young and Adult db/db mice and their age-matched WT mice were subjected to a proteasome activity assay. Young db/db mice exhibited reduced 20S proteasome activity compared with Young WT mice (Figure 3). Furthermore, while the WT mice exhibited progressively less activity with age, the db/db mice exhibited an opposite trend, with an increase in 20S activity (Figure 3).

2.1. RNA Sequencing Emphasizes the Differences between db/db and WT Mice

RNA sequencing was performed on the RNA samples extracted from cardiac tissues and compared with that of WT mice. A principal component analysis (PCA) plot representing the experiment variance was based on the gradual change in the expression of approximately 5000 genes. The PCA determined four homogenous groups as expected (Figure 4A). The variation in gene expression observed between the Young (8 weeks old) and Adult (12 weeks old) db/db mice points to a greater change in gene expression when the db/db mice transition from the pre-diabetic to the diabetic state. Differential expression (DE) analysis found vast differences in gene expression (>500 genes) between Young db/db and Young WT mice, and between Adult db/db and Adult WT mice. The exact number of modified genes, including the directional change in their expression (up- or down-regulation), is summarized in Figure 4.
The Volcano plot and the heatmap of DE genes are shown in Figure 5A–C. The number of up- or down-regulated genes in each comparison is detailed in Figure 5D.
Gene Ontology (GO) enrichment analysis. The results of the GO analysis showed that DE genes were enriched in biological processes, cytosolic components, and molecular function, as specified in Figure 6.

2.2. Cardiomyopathy- and UPS-Related Genes Are Differently Expressed in db/db Compared with WT Mice

The mRNA levels of cardiomyopathy- and UPS-related genes were evaluated. Cardiomyopathy-related genes such as B-type natriuretic peptide (nppb) [21], encoding the BNP protein, an indicator of heart failure, and myosin heavy chain 7 (Myh7) [22], encoding the beta (slow) heavy chain subunit of cardiac myosin, were both altered in db/db mice compared with WT mice. While nppb was down-regulated in diabetic mice regardless of age, differences were only significant in the comparison of Adult mice (p < 0.01) (Figure 7A). In contrast, the Myh7 mRNA level was increased in Adult db/db mice (p = 0.05) (Figure 7B). The mRNA levels of tropomyosin alpha-3 (Tpm3), encoding the protein that stabilizes actin, were reduced with age in WT mice but increased with age in db/db mice (Figure 7C).
The gene expression of immunoproteasome components including the 11S α-unit and the three inducible β subunits, β5i, β1i, and β2i (encoded by Psme1, PSMB8, PSMB9 and PSMB10, respectively) was significantly reduced in Adult db/db mice compared with Adult WT mice, regardless of age (Figure 8A–D).
In parallel, the mRNA levels of RNF167, a gene encoding an E3 ubiquitin ligase, were elevated in Adult diabetic mice compared with Adult WT mice (p < 0.05), (Figure 9A). The expression of USP18, a deubiquitinating enzyme (DUB), was significantly lower in diabetic mice compared with WT mice (p < 0.05), (Figure 9B). Isg15, encoding the ubiquitin-like protein USP18 substrate, was significantly down-regulated in diabetic mice compared with WT mice, regardless of age (p < 0.01), (Figure 9C). Trim54 and Trim63, both encoding E3 ligases, were significantly altered. While Trim54 was significantly up-regulated in Adult diabetic mice compared to Young diabetic mice (p < 0.01), (Figure 9E), Trim63 was down-regulated in diabetic mice, regardless of age, (p < 0.001), (Figure 9F).

2.3. UPS-Related Protein Expression in db/db Mice

A trend of increasing RNF167 protein levels was detected in Young db/db mice, while its levels were significantly increased in Adult db/db mice (Figure 10A). LMP2 and LMP7 were both down-regulated in Adult db/db mice (Figure 10B,C).
This up-regulation relates to mechanisms impacting protein homeostasis, including autophagy and proteasome degradation. While the upregulation of immunoproteasome genes was expected, we detected a reduction in the protein levels of both LMP2 and LMP7 in Adult diabetic mice, suggesting the general immune susceptibility of the diabetic heart.

3. Discussion

This study investigated changes in UPS-related gene expression in the heart tissue of db/db mice at different stages of diabetes progression. The analysis revealed that genetic changes in UPS components were already detectable in Young, pre-diabetic mice, indicating an early alteration in UPS activity.
Young db/db mice are considered pre-diabetic, and they transition to fully diabetic at approximately 12 weeks of age [18]. The blood glucose levels in pre-diabetic db/db mice were slightly higher than in age-matched WT mice, with a significant value in the Adult group (Figure 2A). The heart/body weight ratio significantly declined with age in WT. This decline is likely due to the greater increase in the body and heart weight of db/db mice, while leaving the heart/body weight ratio nearly unchanged (Figure 2D). Differences in UPS expression in diabetic myocardial tissue had already been noted om Young db/db mice, exhibiting reduced 20S proteasome activity compared to WT (Figure 3). The reduced activity of 20S aligns with reports by Predmore and colleagues, demonstrating reduced proteasomal activity in failing hearts [23]. The 20S proteasome can remain free or bind to either 19S or 11S regulator units [24], while 11S can improve the ability of 20S to specifically locate oxidized proteins. Based on our RNA-seq analysis, the genes encoding the 19S particles were not different among the groups; however, the genes encoding the immunoproteasome and several cardiac genes expressed significant differences (Figure 4E,F). nppb, a circulatory hormone and a heart failure biomarker, was reduced in diabetic mice (Figure 7A); this was in line with findings reported by Zhang et al., who found that nppb synthesis is reduced following the onset of systemic insulin resistance in mice [21]. Myh7 was up-regulated in db/db mice (Figure 7B), suggesting a change in cardiac muscle composition, with possible implications for contractility and functionality. The overexpression of PSME1, a gene encoding the PA28α unit of 11S, was found to have a positive effect on diabetic and hyperglycemic rat hearts [25,26]. The current study detected a reduction in PSME1 mRNA levels in db/db mice (Figure 8A), while in WT mice, PSME1 mRNA levels increased with age. These findings underscore the importance of PSME1 in healthy cardiac tissue.
We observed that the mRNA levels of immunoproteasome β subunits, specifically up-regulated under stress conditions [27], increased with age in WT mice but not in db/db mice (Figure 8B–D). This suggests a reduced cellular response to oxidative stress in the diabetic heart, which can further impair protein homeostasis. E3 ubiquitin ligases hold a central role in the progression of cardiovascular pathologies [27], e.g., cardiac hypertrophy, apoptosis inhibition [28,29], and the regulation of cardiac reactive oxygen species (ROS) [30]. Consistent with earlier reports on the role of the E3 ligases in regulating cardiac apoptosis, metabolism, hypertrophy, ischemia and diabetic cardiomyopathy [31,32,33,34], we found that the mRNA levels of the E3 ligase RNF167 were up-regulated in both Young and Adult db/db mice (Figure 9A). Additionally, RNF167 protein expression was significantly increased in 12-week-old db/db mice (Figure 10A). This up-regulation relates to the mechanisms impacting protein homeostasis, including autophagy and proteasome degradation. RNF167 regulates the lysosomal exocytosis [30,35,36] of the α-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid glutamate receptor (AMPAR), which is involved in synaptic transmission in neurons [37]. It also regulates the lysosomal exocytosis of N-methyl-D-aspartate receptors (NMDAR), which are present in the heart, and have been shown to impact Ca2+ levels [38]. Both RNF167 and Nedd4-1 (neural precursor cell-expressed developmentally down-regulated gene 4-1), another E3 ligase, regulate cell–cell communication [39] by facilitating the ubiquitination of AMPAR in mammalian neurons [40,41]. However, based on our RNA-Seq results, no alterations in Nedd4-1 were detected, further highlighting the specificity of RNF167 up-regulation in the heart of diabetic mice. I/R damage has similar mechanistic effects on NMDARs in both cardiomyocytes and neurons [38]. In the current study, RNF167 was one of four E3 ligases that exhibited an altered expression (in addition to Trim54/Trim63/Herc6; and was up-regulated. These results suggest the specific role of NMDARs in regulating the diabetic heart, along with the other unknown proteins that RNF167 regulates.
Diabetic cells are starved due to poor glucose transport [42], reduced levels of mitochondrial Ca2+, and the increased production of ROS, all of which trigger a reduction in ATP synthesis. During cell starvation, plasma membrane damage accumulates and impairs cellular homeostasis [35]. RNF167, a regulator of lysosome calcium signaling and localization [43], contributes to increased intracellular Ca2+ and facilitates lysosome movement towards the plasma membrane. This process enables the removal of the damaged plasma membrane and prevents it from accumulating in the cell. Thus, the up-regulation of RNF167 in 12-week-old db/db mice may represent an attempt to combat this phenomenon in the diabetic heart. Assuming that ligase families are involved in cardiac metabolism [14], it is logical to link RNF167 up-regulation in the diabetic heart with the enhanced protein tagging required for lysosomal degradation.
We detected a few changes in mitophagy-related genes in diabetic mice. For example, BCL2/adenovirus-interacting protein 3 (BNIP3), a mitophagy marker known to be up-regulated by the c-Jun N-terminal protein kinase (JNK) pathway in ER-stressed cells and known to affect contractility [41], was down-regulated compared with WT mice. PARK2 (Parkin), which enhances mitophagy via ubiquitinating mitochondria [44], was up-regulated in Adult diabetic mice. No changes in any other autophagy genes, such as ATGs, LC3, or PINK1, were detected. The limited autophagy-related gene changes detected by RNA-seq in diabetic mice further support our hypothesis of a unique UPS compensatory mechanism underlying diabetic cardiomyopathy.
DUBs sort ubiquitinated proteins to authorize their entry into the proteasome, thereby removing and recycling ubiquitin [45]. The reduced expression of USP18, a DUB involved in regulating inflammation, was observed in diabetic mice (Figure 9B), suggesting impaired UPS regulation in the early prediabetes stages. Reductions in LMP2 (β1i) and LMP7 (β5i) protein levels were also detected, indicating the suboptimal functioning of the UPS in diabetic hearts. LMP7 is necessary for balanced protein homeostasis in a healthy aging heart [46]. Here, we detected a reduction in the protein levels of both LMP2 and LMP7 in Adult diabetic mice, suggesting the general immune susceptibility of the diabetic heart. While the up-regulation of immunoproteasome genes and proteins was expected, these findings proved incongruous with this prediction as the ratio of proteasome/immunoproteasome activity decreased in the heart with age. Inducible β subunits are up-regulated under stressful conditions, such as following viral invasion [21]. The increase is attributed to a compensatory mechanism activated in response to a rise in oxidized proteins [22]. Wang et al. detected the accumulation of polyubiquitinated proteins in LMP7−/−-deficient cells in response to interferon γ treatment [23]. Here, the mRNA levels of all three immunoproteasome β subunits increased with age in the cardiac tissue of WT mice (Figure 8B–D), but not in db/db mice. The absence of this response in cardiac db/db tissue in the early stages of diabetes likely results in a reduced cellular response to oxidative stress and to the further impairment of protein homeostasis. These results align with the reduction in 20S activity in db/db mice (Figure 3). According to research carried out by Jenkins et al. [24], malignant cells express a high immune/constitutive proteasome ratio, highlighting its potential role as a target for treatments and emphasizing the importance of an immune/constitutive balanced ratio. Thus, immunoproteasome-targeted inhibition may reduce the side effects of the continuing toxicities that harm the heart. db/db mice expressed a decreased ratio of immunoproteasome/constitutive with age, pointing to the susceptibility or imbalanced protein homeostasis within their heart. The reduction in LMP2 and LMP7 proteins in diabetic hearts points to the suboptimal functioning of the proteasome when compared with the hearts of the age-matched WT. As we did not capture the expected increase in these units, we may assume that a delayed one might occur later in the course of diabetic hearts, but this was beyond the scope of our work.
The optimal functioning of cardiac UPS components, including proteasome, immunoproteasome and E3 ligases, is essential to healthy cardiac function. The presented findings confirm a genetic UPS imbalance in db/db cardiac tissue. This improves our understanding of the changes to protein homeostasis in the heart that either precede or accompany diabetes development and involve a wide range of UPS players. These findings also raise questions regarding the crosstalk between the UPS and other cellular processes such as autophagy, mitophagy, and lysosome trafficking in the diabetic heart. Future research should focus on characterizing the network of UPS players and their respective roles in healthy heart function. Such data may assist in diagnosing UPS imbalances and may identify biomarkers of early-stage cardiac stress prior to a diagnosis of diabetes.

4. Materials and Methods

To test this hypothesis, we monitored UPS component expression in the hearts of db/db Young (pre-diabetic) and Adult (diabetic) mice using a T2DM model.
Animal model for T2DM: The animal experiments were approved by the Tel Aviv University Institutional Animal Care and Use Committee, permit number: M-13-044, 01-21-077. Two strains of mice were used: BLKS/J-Leprdb/-Leprdb/OlaHsd (db/db) mice (a model for type 2 diabetes) and C57BLKs/6JOlaHsd (WT) mice (wild-type control). Mice were acclimated for two weeks in a pathogen-free facility and provided with regular rodent chow and water ad libitum.
Animal study design: Mice were divided into two age groups: Young (6 weeks old) and Adult (12 weeks old).
Glucose measurements: The blood glucose levels were measured in mice after a 12 h fast using a Glucometer. The mice were weighed and anesthetized with 2% isoflurane inhalation and blood samples were collected from the tail vein for glucose measurement.Echocardiographic recordings: The mice were anesthetized with 2% isoflurane inhalation. Echocardiography was performed using a Vevo 2100 Imaging System with a 30 MHz linear transducer (VisualSonics Inc., Toronto, ON, Canada).
Two-dimensional (2D) guided M-mode echocardiography was used to assess heart function. The left-ventricular end-diastolic dimensions (LVEDD) and left-ventricular end-systolic chamber dimensions (LVESD) were measured. The left-ventricular fractional shortening (FS) was calculated as a measure of cardiac function.
RNA extraction from heart tissue: The RNA was extracted from heart tissue using the RNeasy Fibrous Tissue Mini Kit, (Qiagen, Hilden, Germany). The extracted RNA was quantified using a NANODROP, (Thermo Scientific, Waltham, MA, USA) and evaluated for RNA integrity using an RNA integrity number (RIN).
Genomics: RNA sequencing was performed at The Crown Genomics Institute of the Nancy and Stephen Grand Israel National Center for Personalized Medicine. Libraries were prepared using the G-INCPM mRNAseq protocol. Sequencing was performed using the Illumina HiSeq machine. Bioinformatics analysis was conducted to identify differentially expressed (DE) genes and determine relevant biological functions and pathways.
Quantitative real-time polymerase chain reaction (qPCR): The cDNA was prepared from RNA samples using the TaqMan High-capacity cDNA Reverse Transcription (RT) kit, (Applied Biosystems, Foster City, CA, USA). qPCR was performed using the Stepone Real-Time PCR cycle, (Applied Biosystems, Foster City, CA, USA). Specific primers were used for amplification, and the gene expression levels were quantified using the 2−ΔCT method. A list of the primers used for qRT-PCR is summarized in Table 2.
20S Proteasome activity and protein analysis: The proteasome activity was measured using the APT280 20S proteasome activity kit (Millipore, Sigma, Burlington, MA, USA). The assay was conducted following the manufacturer’s instructions and was based on fluorophore 7-Amino-4-methylcoumarin (AMC) detection after cleavage from the Suc-Leu-Leu-Val-Tyr-AMC (LLVY-AMC) substrate. Protein lysate (30 µg) was mixed with 20 µL of substrate and incubated at 37 °C for 120 min; then, the AMC was measured [39,44]. To ensure that only the proteasomal activity was measured, samples treated with the proteasomal inhibitor lactacystin served as a negative control. Fluorescence was detected using a Synergy H1 microplate reader (Biotek, Winooski, VT, USA) at 380 nm excitatory (Ex) and 460 nm emission (Em) wavelengths. The enzymatic activity was calculated using a calibration curve of free AMC and following the manufacturer’s instructions.
Protein extraction from heart tissue and cells was performed using appropriate buffers. Western blot analysis was conducted to detect protein expression using specific antibodies. A list of the antibodies used for western blotting are summarized in Table 3.
Statistical analysis: Data are presented as mean ± standard deviation. Differences between experimental groups were analyzed using two-way analysis of variance (ANOVA) followed by a Tukey test or the Mann–Whitney non-parametric test. A p-value of <0.05 was considered statistically significant.

Author Contributions

Conceptualization: O.N.-A. and E.K.-J.; methodology: O.N.-A. and E.K.-J.; software: O.N.-A.; validation: O.N.-A. and E.K.-J.; formal analysis: O.N.-A. and E.K.-J.; investigation: Y.D.B. and E.K.-J.; resources, Y.D.B., E.H. and D.A.; data curation, Y.D.B., E.K.-J., M.W. and O.S.-R.; writing—original draft preparation: O.N.-A. and E.K.-J.; writing—review and editing: Y.D.B., O.N.-A., E.K.-J., A.C., E.H. and S.J.M.; visualization: Y.D.B. and M.P.; supervision, Y.D.B., M.P. and A.C.; project administration: E.K.-J. and E.H.; funding acquisition, Y.D.B. and D.A. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by GIF (Germany Israeli Foundation) I-2347-201.2/24.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Deshpande, A.D.; Harris-Hayes, M.; Schootman, M. Epidemiology of diabetes and diabetes-related complications. Phys. Ther. 2008, 88, 1254–1264. [Google Scholar] [CrossRef]
  2. Kenny, H.C.; Abel, E.D. Heart Failure in Type 2 Diabetes Mellitus. Circ. Res. 2019, 124, 121–141. [Google Scholar] [CrossRef] [PubMed]
  3. Tiderencel, K.A.; Hutcheon, D.A.; Ziegler, J. Probiotics for the treatment of type 2 diabetes: A review of randomized controlled trials. Diabetes Metab. Res. Rev. 2020, 36, e3213. [Google Scholar] [CrossRef] [PubMed]
  4. Berg, D.D.; Wiviott, S.D.; Scirica, B.M.; Gurmu, Y.; Mosenzon, O.; Murphy, S.A.; Bhatt, D.L.; Leiter, L.A.; McGuire, D.K.; Wilding, J.P.; et al. Heart Failure Risk Stratification and Efficacy of Sodium-Glucose Cotransporter-2 Inhibitors in Patients with Type 2 Diabetes Mellitus. Circulation 2019, 140, 1569–1577. [Google Scholar] [CrossRef] [PubMed]
  5. Boudina, S.; Abel, E.D. Diabetic cardiomyopathy, causes and effects. Rev. Endocr. Metab. Disord. 2010, 11, 31–39. [Google Scholar] [CrossRef] [PubMed]
  6. Pappachan, J.M.; Varughese, G.I.; Sriraman, R.; Arunagirinathan, G. Diabetic cardiomyopathy: Pathophysiology, diagnostic evaluation and management. World J. Diabetes 2013, 4, 177–189. [Google Scholar] [CrossRef] [PubMed]
  7. Kawata, T.; Daimon, M.; Miyazaki, S.; Ichikawa, R.; Maruyama, M.; Chiang, S.J.; Ito, C.; Sato, F.; Watada, H.; Daida, H. Coronary microvascular function is independently associated with left ventricular filling pressure in patients with type 2 diabetes mellitus. Cardiovasc. Diabetol. 2015, 14, 98. [Google Scholar] [CrossRef] [PubMed]
  8. Castro, A.; Bernis, C.; Vigneron, S.; Labbe, J.C.; Lorca, T. The anaphase-promoting complex: A key factor in the regulation of cell cycle. Oncogene 2005, 24, 314–325. [Google Scholar] [CrossRef] [PubMed]
  9. Ciechanover, A.; Orian, A.; Schwartz, A.L. Ubiquitin-mediated proteolysis: Biological regulation via destruction. Bioessays 2000, 22, 442–451. [Google Scholar] [CrossRef]
  10. Jesenberger, V.; Jentsch, S. Deadly encounter: Ubiquitin meets apoptosis. Nat. Rev. Mol. Cell Biol. 2002, 3, 112–121. [Google Scholar] [CrossRef]
  11. Ciechanover, A. Proteolysis: From the lysosome to ubiquitin and the proteasome. Nat. Rev. Mol. Cell Biol. 2005, 6, 79–87. [Google Scholar] [CrossRef] [PubMed]
  12. Glickman, M.H.; Ciechanover, A. The ubiquitin-proteasome proteolytic pathway: Destruction for the sake of construction. Physiol. Rev. 2002, 82, 373–428. [Google Scholar] [CrossRef] [PubMed]
  13. Wenzel, D.M.; Stoll, K.E.; Klevit, R.E. E2s: Structurally economical and functionally replete. Biochem. J. 2011, 433, 31–42. [Google Scholar] [CrossRef] [PubMed]
  14. Parry, T.L.; Willis, M.S. Cardiac ubiquitin ligases: Their role in cardiac metabolism, autophagy, cardioprotection and therapeutic potential. Biochim. Biophys. Acta 2016, 1862, 2259–2269. [Google Scholar] [CrossRef] [PubMed]
  15. Wang, S.; Li, J.; Wang, T.; Bai, J.; Zhang, Y.L.; Lin, Q.Y.; Li, J.M.; Zhao, Q.; Guo, S.B.; Li, H.H. Ablation of Immunoproteasome beta5i Subunit Suppresses Hypertensive Retinopathy by Blocking ATRAP Degradation in Mice. Mol. Ther. 2020, 28, 279–292. [Google Scholar] [CrossRef] [PubMed]
  16. Benaroudj, N.; Tarcsa, E.; Cascio, P.; Goldberg, A.L. The unfolding of substrates and ubiquitin-independent protein degradation by proteasomes. Biochimie 2001, 83, 311–318. [Google Scholar] [CrossRef] [PubMed]
  17. Bitzer, A.; Basler, M.; Krappmann, D.; Groettrup, M. Immunoproteasome subunit deficiency has no influence on the canonical pathway of NF-kappaB activation. Mol. Immunol. 2017, 83, 147–153. [Google Scholar] [CrossRef]
  18. Ostler, J.E.; Maurya, S.K.; Dials, J.; Roof, S.R.; Devor, S.T.; Ziolo, M.T.; Periasamy, M. Effects of insulin resistance on skeletal muscle growth and exercise capacity in type 2 diabetic mouse models. Am. J. Physiol. Endocrinol. Metab. 2014, 306, E592–E605. [Google Scholar] [CrossRef]
  19. Kloß, A.; Meiners, S.; Ludwig, A.; Dahlmann, B. Multiple cardiac proteasome subtypes differ in their susceptibility to proteasome inhibitors. Cardiovasc. Res. 2010, 85, 367–375. [Google Scholar] [CrossRef]
  20. Greer, J.J.; Ware, D.P.; Lefer, D.J. Myocardial infarction and heart failure in the db/db diabetic mouse. Am. J. Physiol. Heart Circ. Physiol. 2006, 290, H146–H153. [Google Scholar] [CrossRef]
  21. Zhang, H.; Thoonen, R.; Yao, V.; Buys, E.S.; Popovich, J.; Su, Y.R.; Wang, T.J.; Scherrer-Crosbie, M. Regulation of B-type natriuretic peptide synthesis by insulin in obesity in male mice. Exp. Physiol. 2016, 101, 113–123. [Google Scholar] [CrossRef]
  22. Montag, J.; Syring, M.; Rose, J.; Weber, A.-L.; Ernstberger, P.; Mayer, A.-K.; Becker, E.; Keyser, B.; dos Remedios, C.; Perrot, A.; et al. Intrinsic MYH7 expression regulation contributes to tissue level allelic imbalance in hypertrophic cardiomyopathy. J. Muscle Res. Cell Motil. 2017, 38, 291–302. [Google Scholar] [CrossRef] [PubMed]
  23. Predmore, J.M.; Wang, P.; Davis, F.; Bartolone, S.; Westfall, M.V.; Dyke, D.B.; Pagani, F.; Powell, S.R.; Day, S.M. Ubiquitin proteasome dysfunction in human hypertrophic and dilated cardiomyopathies. Circulation 2010, 121, 997–1004. [Google Scholar] [CrossRef]
  24. Lee, H.S.; Suh, J.Y.; Kang, B.-C.; Lee, E. Lipotoxicity dysregulates the immunoproteasome in podocytes and kidneys in type 2 diabetes. Am. J. Physiol. Renal Physiol. 2021, 320, F548–F558. [Google Scholar] [CrossRef] [PubMed]
  25. Powell, S.R.; Samuel, S.M.; Wang, P.; Divald, A.; Thirunavukkarasu, M.; Koneru, S.; Wang, X.; Maulik, N. Upregulation of myocardial 11S-activated proteasome in experimental hyperglycemia. J. Mol. Cell. Cardiol. 2008, 44, 618–621. [Google Scholar] [CrossRef]
  26. Powell, S.R.; Herrmann, J.; Lerman, A.; Patterson, C.; Wang, X. The ubiquitin-proteasome system and cardiovascular disease. Prog. Mol. Biol. Transl. Sci. 2012, 109, 295–346. [Google Scholar] [PubMed]
  27. Shukla, S.K.; Rafiq, K. Proteasome biology and therapeutics in cardiac diseases. Transl. Res. 2019, 205, 64–76. [Google Scholar] [CrossRef] [PubMed]
  28. Peris-Moreno, D.; Taillandier, D.; Polge, C. MuRF1/TRIM63, Master Regulator of Muscle Mass. Int. J. Mol. Sci. 2020, 21, 6663. [Google Scholar] [CrossRef] [PubMed]
  29. Portbury, A.L.; Ronnebaum, S.M.; Zungu, M.; Patterson, C.; Willis, M.S. Back to your heart: Ubiquitin proteasome system-regulated signal transduction. J. Mol. Cell. Cardiol. 2012, 52, 526–537. [Google Scholar] [CrossRef]
  30. Mattox, T.A.; Young, M.E.; Rubel, C.E.; Spaniel, C.; Rodríguez, J.E.; Grevengoed, T.J.; Gautel, M.; Xu, Z.; Anderson, E.J.; Willis, M.S. MuRF1 activity is present in cardiac mitochondria and regulates reactive oxygen species production in vivo. J. Bioenerg. Biomembr. 2014, 46, 173–187, Erratum in J. Bioenerg. Biomembr. 2015, 47, 281. [Google Scholar] [CrossRef]
  31. Rodríguez, J.E.; Schisler, J.C.; Patterson, C.; Willis, M.S. Seek and destroy: The ubiquitin-proteasome system in cardiac disease. Curr. Hypertens. Rep. 2009, 6, 396–405. [Google Scholar] [CrossRef] [PubMed]
  32. Rodríguez, J.E.; Liao, J.Y.; He, J.; Schisler, J.C.; Newgard, C.B.; Drujan, D.; Glass, D.J.; Frederick, C.B.; Yoder, B.C.; Lalush, D.S.; et al. The ubiquitin ligase MuRF1 regulates PPARα activity in the heart by enhancing nuclear export via monoubiquitination. Mol. Cell. Endocrinol. 2015, 15, 36–48. [Google Scholar] [CrossRef] [PubMed]
  33. Lam, Y.A.; Xu, W.; DeMartino, G.N.; Cohen, R.E. Editing of ubiquitin conjugates by an isopeptidase in the 26S proteasome. Nature 1997, 385, 737–740. [Google Scholar] [CrossRef] [PubMed]
  34. Han, Q.Y.; Wang, H.X.; Liu, X.H.; Guo, C.X.; Hua, Q.; Yu, X.H.; Li, N.; Yang, Y.Z.; Du, J.; Xia, Y.L.; et al. Circulating E3 ligases are novel and sensitive biomarkers for diagnosis of acute myocardial infarction. Clin. Sci. 2015, 128, 751–760. [Google Scholar] [CrossRef] [PubMed]
  35. Nair, S.V.; Narendradev, N.D.; Nambiar, R.P.; Kumar, R.; Srinivasula, S.M. Naturally occurring and tumor-associated variants of RNF167 promote lysosomal exocytosis and plasma membrane resealing. J. Cell Sci. 2020, 11, 133. [Google Scholar] [CrossRef] [PubMed]
  36. Van Dijk, J.R.; Yamazaki, Y.; Palmer, R.H. Tumour-associated mutations of PA-TM-RING ubiquitin ligases RNF167/RNF13 identify the PA domain as a determinant for endosomal localization. Biochem. J. 2014, 459, 27–36. [Google Scholar] [CrossRef]
  37. Lussier, M.P.; Herring, B.E.; Nasu-Nishimura, Y.; Neutzner, A.; Karbowski, M.; Youle, R.J.; Nicoll, R.A.; Roche, K.W. Ubiquitin ligase RNF167 regulates AMPA receptor-mediated synaptic transmission. Proc. Natl. Acad. Sci. USA 2012, 109, 19426–19431. [Google Scholar] [CrossRef] [PubMed]
  38. Govoruskina, N.; Jakovljevic, V.; Zivkovic, V.; Milosavljevic, I.; Jeremic, J.; Bradic, J.; Bolevich, S.; Omarov, I.A.; Djuric, D.; Radonjic, K.; et al. The Role of Cardiac N-Methyl-D-Aspartate Receptors in Heart Conditioning-Effects on Heart Function and Oxidative Stress. Biomolecules 2020, 10, 1065. [Google Scholar] [CrossRef]
  39. Barac, Y.D.; Emrich, F.; Krutzwakd-Josefson, E.; Schrepfer, S.; Sampaio, L.C.; Willerson, J.T.; Robbins, R.C.; Ciechanover, A.; Mohr, F.W.; Aravot, D.; et al. The ubiquitin-proteasome system: A potential therapeutic target for heart failure. J. Heart Lung Transplant. 2017, 36, 708–714. [Google Scholar] [CrossRef]
  40. Widagdo, J.; Guntupalli, S.; Jang, S.E.; Anggono, V. Regulation of AMPA Receptor Trafficking by Protein Ubiquitination. Front. Mol. Neurosci. 2017, 26, 347. [Google Scholar] [CrossRef]
  41. Gao, F.; Chen, D.; Si, J.; Hu, Q.; Qin, Z.; Fang, M.; Wang, G. The mitochondrial protein BNIP3L is the substrate of PARK2 and mediates mitophagy in PINK1/PARK2 pathway. Hum. Mol. Genet. 2015, 24, 2528–2538. [Google Scholar] [CrossRef] [PubMed]
  42. Uthman, L.; Baartscheer, A.; Schumacher, C.A.; Fiolet, J.W.; Kuschma, M.C.; Hollmann, M.W.; Coronel, R.; Weber, N.C.; Zuurbier, C.J. Direct Cardiac Actions of Sodium Glucose Cotransporter 2 Inhibitors Target Pathogenic Mechanisms Underlying Heart Failure in Diabetic Patients. Front. Physiol. 2018, 9, 1575. [Google Scholar] [CrossRef] [PubMed]
  43. Lloyd-Evans, E.; Waller-Evans, H. Lysosomal Ca2+ Homeostasis and Signaling in Health and Disease. Cold Spring Harb. Perspect. Biol. 2020, 12, a035311. [Google Scholar] [CrossRef] [PubMed]
  44. Bozi, L.H.M.; Takano, A.P.; Campos, J.C.; Rolim, N.; Dourado, P.M.; Voltarelli, V.A.; Wisløff, U.; Ferreira, J.C.; Barreto-Chaves, M.L.; Brum, P.C. Endoplasmic reticulum stress impairs cardiomyocyte contractility through JNK-dependent upregulation of BNIP3. Int. J. Cardiol. 2018, 272, 194–201. [Google Scholar] [CrossRef] [PubMed]
  45. Ying, X.; Zhao, Y.; Yao, T.; Yuan, A.; Xu, L.; Gao, L.; Ding, S.; Ding, H.; Pu, J.; He, B. Novel Protective Role for Ubiquitin-Specific Protease 18 in Pathological Cardiac Remodeling. Hypertension 2016, 68, 1160–1170. [Google Scholar] [CrossRef] [PubMed]
  46. Kasacka, I.; Piotrowska, Ż.; Niezgoda, M.; Lewandowska, A.; Łebkowski, W. Ageing-related changes in the levels of beta-catenin, CacyBP/SIP, galectin-3 and immunoproteasome subunit LMP7 in the heart of men. PLoS ONE 2020, 15, e0229462. [Google Scholar] [CrossRef]
Figure 1. The ubiquitin proteasome system: (A) Three types of enzymes promote degradation: ubiquitin-activating enzymes (E1), ubiquitin-conjugating enzymes (E2), and ubiquitin-ligating enzymes (E3). Initially, E1 binds a ubiquitin molecule forming an ATP-dependent thioester linkage. The ubiquitin relocates to an E2 enzyme, which either transfers the ubiquitin to E3 directly or binds to E3 as an adaptor protein. Together, E2 and E3 attach ubiquitin to a lysine residue on the target protein. Deubiquitinating enzymes (DUBs) sort ubiquitinated proteins, and remove and recycle ubiquitin. (B) A constitutive proteasome 19S–20S–19S hybrid (left) and immunoproteasome 11S–20S–11S hybrid (right).
Figure 1. The ubiquitin proteasome system: (A) Three types of enzymes promote degradation: ubiquitin-activating enzymes (E1), ubiquitin-conjugating enzymes (E2), and ubiquitin-ligating enzymes (E3). Initially, E1 binds a ubiquitin molecule forming an ATP-dependent thioester linkage. The ubiquitin relocates to an E2 enzyme, which either transfers the ubiquitin to E3 directly or binds to E3 as an adaptor protein. Together, E2 and E3 attach ubiquitin to a lysine residue on the target protein. Deubiquitinating enzymes (DUBs) sort ubiquitinated proteins, and remove and recycle ubiquitin. (B) A constitutive proteasome 19S–20S–19S hybrid (left) and immunoproteasome 11S–20S–11S hybrid (right).
Ijms 24 15376 g001
Figure 2. Physiological differences obtained according to glucose, body weight and heart weight measurements of Young and Adult db/db and WT mice. Y: 4–8-week-old mice. A: 11–18-week-old mice. Glucose: WTy: n = 6, dby: n = 6, WTa: n = 6, dba: n = 5, (A). Body weight: WTy: n = 6, dby: n = 6, WTa: n = 6, dba: n = 5, (B). Heart weight: WTy: n = 6, dby: n = 6, WTa: n = 6, dba: n = 5, (C). Heart/body weight: WTy: n = 6, dby: n = 6, WTa: n=6, dba: n = 5, (D) *** p < 0.001, **** p < 0.0001.
Figure 2. Physiological differences obtained according to glucose, body weight and heart weight measurements of Young and Adult db/db and WT mice. Y: 4–8-week-old mice. A: 11–18-week-old mice. Glucose: WTy: n = 6, dby: n = 6, WTa: n = 6, dba: n = 5, (A). Body weight: WTy: n = 6, dby: n = 6, WTa: n = 6, dba: n = 5, (B). Heart weight: WTy: n = 6, dby: n = 6, WTa: n = 6, dba: n = 5, (C). Heart/body weight: WTy: n = 6, dby: n = 6, WTa: n=6, dba: n = 5, (D) *** p < 0.001, **** p < 0.0001.
Ijms 24 15376 g002
Figure 3. Abnormal 20S proteasome activity in diabetic mice. Young: 6-week-old mice (y), Adult: 12-week-old mice (a) WTy: n = 5, dby: n = 6, WTa: n = 5 dba: n = 5, two-way ANOVA ** p < 0.01, *** p < 0.001.
Figure 3. Abnormal 20S proteasome activity in diabetic mice. Young: 6-week-old mice (y), Adult: 12-week-old mice (a) WTy: n = 5, dby: n = 6, WTa: n = 5 dba: n = 5, two-way ANOVA ** p < 0.01, *** p < 0.001.
Ijms 24 15376 g003
Figure 4. RNA sequencing of cardiac samples detected changes in over 500 genes. A principal component analysis (PCA) was performed to present the sample differences according to the gene expression levels. Threshold for significance was set at p adjusted ≤ 0.05, max counts per gene ≥ 30, |Fold Change| ≥ 2 (A). Differential expression (DE) comparisons found major gene expression differences between the age-matched db/db and WT mice groups (B). DE of cardiomyopathy- (C,D) and UPS-related genes (E,F) detected via RNA sequencing in Young (6-week-old) and Adult (12-week-old) db/db vs. WT mice.
Figure 4. RNA sequencing of cardiac samples detected changes in over 500 genes. A principal component analysis (PCA) was performed to present the sample differences according to the gene expression levels. Threshold for significance was set at p adjusted ≤ 0.05, max counts per gene ≥ 30, |Fold Change| ≥ 2 (A). Differential expression (DE) comparisons found major gene expression differences between the age-matched db/db and WT mice groups (B). DE of cardiomyopathy- (C,D) and UPS-related genes (E,F) detected via RNA sequencing in Young (6-week-old) and Adult (12-week-old) db/db vs. WT mice.
Ijms 24 15376 g004
Figure 5. Volcano plots of differential expression: Young db/db vs. Young WT (A), Adult db/db vs. Adult WT (B), Each point on the graph represents a gene. Points having a fold change more than 2 are shown in green. Heatmap displays significantly (padj ≤ 0.05 and |FC| ≥ 2) differentially expressed genes across four comparisons (Young WT vs. Adult WT; Young db/db vs. Adult db/db; Young db/db vs. Young WT; Adult db/db vs. Adult WT). Each row of the heatmap represents the z-score-transformed log2 values of one differentially expressed gene across all samples (blue, low expression; red, high expression), (C). Table denotes the number of genes up- or down-regulated in each comparison (D).
Figure 5. Volcano plots of differential expression: Young db/db vs. Young WT (A), Adult db/db vs. Adult WT (B), Each point on the graph represents a gene. Points having a fold change more than 2 are shown in green. Heatmap displays significantly (padj ≤ 0.05 and |FC| ≥ 2) differentially expressed genes across four comparisons (Young WT vs. Adult WT; Young db/db vs. Adult db/db; Young db/db vs. Young WT; Adult db/db vs. Adult WT). Each row of the heatmap represents the z-score-transformed log2 values of one differentially expressed gene across all samples (blue, low expression; red, high expression), (C). Table denotes the number of genes up- or down-regulated in each comparison (D).
Ijms 24 15376 g005
Figure 6. Gene ontology enrichment analysis of Young db/db vs. Young WT. BP—Biological process, CC—Cellular component, MF—Molecular function.
Figure 6. Gene ontology enrichment analysis of Young db/db vs. Young WT. BP—Biological process, CC—Cellular component, MF—Molecular function.
Ijms 24 15376 g006
Figure 7. Cardiomyopathy-related gene alterations in diabetic mice, detected via qRT-PCR. RNF167 (n = 5) (A), USP18 (n = 5), (B), Isg15 (n = WTy: n = 5, dby: n = 5, WTa: n = 5, dba: n = 6) (C), Ube2l6 (n = WTy: n = 5, dby: n = 5, WTa: n = 5, dba: n = 6) ** p < 0.01 using a two-way ANOVA with interaction.
Figure 7. Cardiomyopathy-related gene alterations in diabetic mice, detected via qRT-PCR. RNF167 (n = 5) (A), USP18 (n = 5), (B), Isg15 (n = WTy: n = 5, dby: n = 5, WTa: n = 5, dba: n = 6) (C), Ube2l6 (n = WTy: n = 5, dby: n = 5, WTa: n = 5, dba: n = 6) ** p < 0.01 using a two-way ANOVA with interaction.
Ijms 24 15376 g007
Figure 8. Reduced expression of genes encoding for immunoproteasome components in diabetic mice. The mRNA levels of proteasome component genes were compared between db/db and WT mice. Psme1: WTy: n = 5, dby: n = 5, WTa: n = 8, dba: n = 9, (A), PSMB8: WTy: n = 5, dby: n = 6, WTa: n = 8, dba: n = 9, (B). PSMB9: WTy: n = 5, dby: n = 4, WTa: n = 10, dba: n = 8, (C). PSMB10: WTy: n = 6, dby: n = 5, WTa: n = 9, dba: n = 9, (D). Results are normalized to GAPDH. Two-way ANOVA. * p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001.
Figure 8. Reduced expression of genes encoding for immunoproteasome components in diabetic mice. The mRNA levels of proteasome component genes were compared between db/db and WT mice. Psme1: WTy: n = 5, dby: n = 5, WTa: n = 8, dba: n = 9, (A), PSMB8: WTy: n = 5, dby: n = 6, WTa: n = 8, dba: n = 9, (B). PSMB9: WTy: n = 5, dby: n = 4, WTa: n = 10, dba: n = 8, (C). PSMB10: WTy: n = 6, dby: n = 5, WTa: n = 9, dba: n = 9, (D). Results are normalized to GAPDH. Two-way ANOVA. * p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001.
Ijms 24 15376 g008
Figure 9. Alterations in UPS-related gene expression in diabetic mice: mRNA levels of UPS genes were compared between db/db and WT mice. RNF167: All groups: n = 5, (A). USP18: All groups: n = 5, (B). Isg15: WTy: n = 5, dby: n = 5, WTa: n = 5, dba: n = 6, (C). Ube2l6: WTy: n = 5, dby: n = 5, WTa: n = 5, dba: n = 6, (D), Trim54 (Murf3): WTy: n = 6, dby: n = 6, WTa: n = 10, dba: n = 11, (E). Trim63 (Murf1): WTy: n = 6, dby: n = 7, WTa: n = 9, dba: n = 10, (F). Results are normalized to GAPDH. Two-way ANOVA * p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001.
Figure 9. Alterations in UPS-related gene expression in diabetic mice: mRNA levels of UPS genes were compared between db/db and WT mice. RNF167: All groups: n = 5, (A). USP18: All groups: n = 5, (B). Isg15: WTy: n = 5, dby: n = 5, WTa: n = 5, dba: n = 6, (C). Ube2l6: WTy: n = 5, dby: n = 5, WTa: n = 5, dba: n = 6, (D), Trim54 (Murf3): WTy: n = 6, dby: n = 6, WTa: n = 10, dba: n = 11, (E). Trim63 (Murf1): WTy: n = 6, dby: n = 7, WTa: n = 9, dba: n = 10, (F). Results are normalized to GAPDH. Two-way ANOVA * p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001.
Ijms 24 15376 g009
Figure 10. UPS-related proteins are expressed differently in the heart of db/db mice compared with WT mice. Protein expression was evaluated using western blot analysis. RNF176 (n = 5) (A), LMP2 (n = 5–6) (B) and LMP7 (n = 5–6) (C), p < 0.05) (D), * p < 0.05, ** p < 0.01, *** p < 0.001. Multiple Mann–Whitney test.
Figure 10. UPS-related proteins are expressed differently in the heart of db/db mice compared with WT mice. Protein expression was evaluated using western blot analysis. RNF176 (n = 5) (A), LMP2 (n = 5–6) (B) and LMP7 (n = 5–6) (C), p < 0.05) (D), * p < 0.05, ** p < 0.01, *** p < 0.001. Multiple Mann–Whitney test.
Ijms 24 15376 g010
Table 1. Echocardiography: Interventricular septum (IVS), left ventricular posterior wall (LVPW), left ventricular end dimension diastole/systole (LVEDD/LVESD, respectively), fractional shortening (FS%). WT n = 7, db/db n = 11. t-test * p < 0.05.
Table 1. Echocardiography: Interventricular septum (IVS), left ventricular posterior wall (LVPW), left ventricular end dimension diastole/systole (LVEDD/LVESD, respectively), fractional shortening (FS%). WT n = 7, db/db n = 11. t-test * p < 0.05.
WTdb/db
IVS (mm)0.8 ± 0.10.9 ± 0.1
LVPW (mm)0.9 ± 0.10.9 ± 0.1
LVEDD(mm)3.6 ± 0.73.9 ± 0.2
LVESD (mm)2.9 ± 0.22.6 ± 0.3 *
FS (%)33 ± 1434 ± 0.7
Table 2. A list of the primers used for qRT-PCR.
Table 2. A list of the primers used for qRT-PCR.
Gene PrimersCatalog NumberCompany
GAPDHMm99999915_g1Applied Biosystems, Thermo Fisher scientific,
Foster City, CA, USA
PSME1Mm00650858_g1Applied Biosystems, Thermo Fisher scientific,
Foster City, CA, USA
PSMB8Mm01278980_g1Applied Biosystems, Thermo Fisher scientific,
Foster City, CA, USA
PSMB9Mm00479004_g1Applied Biosystems, Thermo Fisher scientific,
Foster City, CA, USA
PSMB10Mm00479052_g1Applied Biosystems, Thermo Fisher scientific,
Foster City, CA, USA
USP18Mm01188805_m1Applied Biosystems, Thermo Fisher scientific,
Foster City, CA, USA
ISG15Mm01705338_s1Applied Biosystems, Thermo Fisher scientific,
Foster City, CA, USA
RNF167Mm00550965_m1Applied Biosystems, Thermo Fisher scientific,
Foster City, CA, USA
UBE2l6Mm00498295_m1Applied Biosystems, Thermo Fisher scientific,
Foster City, CA, USA
Myh7Mm00600555_m1Applied Biosystems, Thermo Fisher scientific,
Foster City, CA, USA
NppbMm01255770_g1Applied Biosystems, Thermo Fisher scientific,
Foster City, CA, USA
Tpm3Mm04336671_g1Applied Biosystems, Thermo Fisher scientific,
Foster City, CA, USA
Table 3. List of the antibodies used for western blotting.
Table 3. List of the antibodies used for western blotting.
Primary AntibodiesCatalog NumberCompany
GAPDH (1:1000)sc-36502Santa Cruz Biotechnology, Dallas, TX, USA
RNF167 (1:100)ab185099Abcam, Cambridge, UK
Lmp2 (1:100)ab3328Abcam, Cambridge, UK
Lmp7 (1:100)ab3329Abcam, Cambridge, UK
Secondary AntibodiesCat NumberCompany
Goat anti-rabbit IgG, IRDye®800RD (1:10,000)925-32213LI-COR Corporate, Lincoln, NE, USA
Donkey anti-mouse IgG, IRDye®680RD (1:10,000)925-98072LI-COR Corporate, Lincoln, NE, USA
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Nahum-Ankonina, O.; Kurtzwald-Josefson, E.; Ciechanover, A.; Waldman, M.; Shwartz-Rohaker, O.; Hochhauser, E.; Meyer, S.J.; Aravot, D.; Phillip, M.; Barac, Y.D. Ubiquitin Proteasome System Role in Diabetes-Induced Cardiomyopathy. Int. J. Mol. Sci. 2023, 24, 15376. https://doi.org/10.3390/ijms242015376

AMA Style

Nahum-Ankonina O, Kurtzwald-Josefson E, Ciechanover A, Waldman M, Shwartz-Rohaker O, Hochhauser E, Meyer SJ, Aravot D, Phillip M, Barac YD. Ubiquitin Proteasome System Role in Diabetes-Induced Cardiomyopathy. International Journal of Molecular Sciences. 2023; 24(20):15376. https://doi.org/10.3390/ijms242015376

Chicago/Turabian Style

Nahum-Ankonina, Ortal, Efrat Kurtzwald-Josefson, Aaron Ciechanover, Maayan Waldman, Orna Shwartz-Rohaker, Edith Hochhauser, Sam J. Meyer, Dan Aravot, Moshe Phillip, and Yaron D. Barac. 2023. "Ubiquitin Proteasome System Role in Diabetes-Induced Cardiomyopathy" International Journal of Molecular Sciences 24, no. 20: 15376. https://doi.org/10.3390/ijms242015376

APA Style

Nahum-Ankonina, O., Kurtzwald-Josefson, E., Ciechanover, A., Waldman, M., Shwartz-Rohaker, O., Hochhauser, E., Meyer, S. J., Aravot, D., Phillip, M., & Barac, Y. D. (2023). Ubiquitin Proteasome System Role in Diabetes-Induced Cardiomyopathy. International Journal of Molecular Sciences, 24(20), 15376. https://doi.org/10.3390/ijms242015376

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

Article Metrics

Back to TopTop