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Zhang Y, Wei S, Jin EJ, Jo Y, Oh CM, Bae GU, Kang JS, Ryu D. Protein Arginine Methyltransferases: Emerging Targets in Cardiovascular and Metabolic Disease. Diabetes Metab J 2024; 48:487-502. [PMID: 39043443 PMCID: PMC11307121 DOI: 10.4093/dmj.2023.0362] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Accepted: 06/17/2024] [Indexed: 07/25/2024] Open
Abstract
Cardiovascular diseases (CVDs) and metabolic disorders stand as formidable challenges that significantly impact the clinical outcomes and living quality for afflicted individuals. An intricate comprehension of the underlying mechanisms is paramount for the development of efficacious therapeutic strategies. Protein arginine methyltransferases (PRMTs), a class of enzymes responsible for the precise regulation of protein methylation, have ascended to pivotal roles and emerged as crucial regulators within the intrinsic pathophysiology of these diseases. Herein, we review recent advancements in research elucidating on the multifaceted involvements of PRMTs in cardiovascular system and metabolic diseases, contributing significantly to deepen our understanding of the pathogenesis and progression of these maladies. In addition, this review provides a comprehensive analysis to unveil the distinctive roles of PRMTs across diverse cell types implicated in cardiovascular and metabolic disorders, which holds great potential to reveal novel therapeutic interventions targeting PRMTs, thus presenting promising perspectives to effectively address the substantial global burden imposed by CVDs and metabolic disorders.
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Affiliation(s)
- Yan Zhang
- Department of Molecular Cell Biology, Single Cell Network Research Center, Sungkyunkwan University, Suwon, Korea
| | - Shibo Wei
- Department of Biomedical Science and Engineering, Gwangju Institute of Science and Technology, Gwangju, Korea
| | - Eun-Ju Jin
- Department of Biomedical Science and Engineering, Gwangju Institute of Science and Technology, Gwangju, Korea
| | - Yunju Jo
- Department of Biomedical Science and Engineering, Gwangju Institute of Science and Technology, Gwangju, Korea
| | - Chang-Myung Oh
- Department of Biomedical Science and Engineering, Gwangju Institute of Science and Technology, Gwangju, Korea
| | - Gyu-Un Bae
- Muscle Physiome Institute, College of Pharmacy, Sookmyung Women’s University, Seoul, Korea
- Research Institute of Aging-Related Diseases, AniMusCure Inc., Suwon, Korea
| | - Jong-Sun Kang
- Department of Molecular Cell Biology, Single Cell Network Research Center, Sungkyunkwan University, Suwon, Korea
- Research Institute of Aging-Related Diseases, AniMusCure Inc., Suwon, Korea
| | - Dongryeol Ryu
- Department of Biomedical Science and Engineering, Gwangju Institute of Science and Technology, Gwangju, Korea
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Elahimanesh M, Shokri N, Mahdinia E, Mohammadi P, Parvaz N, Najafi M. Differential gene expression patterns in ST-elevation Myocardial Infarction and Non-ST-elevation Myocardial Infarction. Sci Rep 2024; 14:3424. [PMID: 38341440 PMCID: PMC10858964 DOI: 10.1038/s41598-024-54086-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Accepted: 02/08/2024] [Indexed: 02/12/2024] Open
Abstract
The ST-elevation Myocardial Infarction (STEMI) and Non-ST-elevation Myocardial Infarction (NSTEMI) might occur because of coronary artery stenosis. The gene biomarkers apply to the clinical diagnosis and therapeutic decisions in Myocardial Infarction. The aim of this study was to introduce, enrich and estimate timely the blood gene profiles based on the high-throughput data for the molecular distinction of STEMI and NSTEMI. The text mining data (50 genes) annotated with DisGeNET data (144 genes) were merged with the GEO gene expression data (5 datasets) using R software. Then, the STEMI and NSTEMI networks were primarily created using the STRING server, and improved using the Cytoscape software. The high-score genes were enriched using the KEGG signaling pathways and Gene Ontology (GO). Furthermore, the genes were categorized to determine the NSTEMI and STEMI gene profiles. The time cut-off points were identified statistically by monitoring the gene profiles up to 30 days after Myocardial Infarction (MI). The gene heatmaps were clearly created for the STEMI (high-fold genes 69, low-fold genes 45) and NSTEMI (high-fold genes 68, low-fold genes 36). The STEMI and NSTEMI networks suggested the high-score gene profiles. Furthermore, the gene enrichment suggested the different biological conditions for STEMI and NSTEMI. The time cut-off points for the NSTEMI (4 genes) and STEMI (13 genes) gene profiles were established up to three days after Myocardial Infarction. The study showed the different pathophysiologic conditions for STEMI and NSTEMI. Furthermore, the high-score gene profiles are suggested to measure up to 3 days after MI to distinguish the STEMI and NSTEMI.
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Affiliation(s)
- Mohammad Elahimanesh
- Clinical Biochemistry Department, Faculty of Medical Sciences, Iran University of Medical Sciences, Tehran, Iran
| | - Nafiseh Shokri
- Clinical Biochemistry Department, Faculty of Medical Sciences, Iran University of Medical Sciences, Tehran, Iran
| | - Elmira Mahdinia
- Clinical Biochemistry Department, Faculty of Medical Sciences, Iran University of Medical Sciences, Tehran, Iran
| | - Payam Mohammadi
- Clinical Biochemistry Department, Faculty of Medical Sciences, Iran University of Medical Sciences, Tehran, Iran
| | - Najmeh Parvaz
- Clinical Biochemistry Department, Faculty of Medical Sciences, Iran University of Medical Sciences, Tehran, Iran
| | - Mohammad Najafi
- Clinical Biochemistry Department, Faculty of Medical Sciences, Iran University of Medical Sciences, Tehran, Iran.
- Cellular and Molecular Research Center, Iran University of Medical Sciences, Tehran, Iran.
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Zhou B, Chen N, Chen Z, Chen S, Yang J, Zheng Y, Shen L. Prmt5 deficient mouse B cells display RNA processing complexity and slower colorectal tumor progression. Eur J Immunol 2023; 53:e2250226. [PMID: 37389889 DOI: 10.1002/eji.202250226] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Revised: 06/27/2023] [Accepted: 06/29/2023] [Indexed: 07/01/2023]
Abstract
Protein arginine methyltransferase 5 (Prmt5) is essential for normal B-cell development; however, the roles of Prmt5 in tumor-infiltrating B cells in tumor therapy have not been well elucidated. Here, we revealed that CD19-cre-Prmt5fl/fl (Prmt5cko) mice showed smaller tumor weights and volumes in the colorectal cancer mouse model; B cells expressed higher levels of Ccl22 and Il12a, which attracted T cells to the tumor site. Furthermore, we used direct RNA sequencing to comprehensively profile RNA processes in Prmt5 deletion B cells to explore underline mechanisms. We found significantly differentially expressed isoforms, mRNA splicing, poly(A) tail lengths, and m6A modification changes between the Prmt5cko and control groups. Cd74 isoform expressions might be regulated by mRNA splicing; the expression of two novel Cd74 isoforms was decreased, while one isoform was elevated in the Prmt5cko group, but the Cd74 gene expression showed no changes. We observed Ccl22, Ighg1, and Il12a expression was significantly increased in the Prmt5cko group, whereas Jak3 and Stat5b expression was decreased. Ccl22 and Ighg1 expression might be associated with poly(A) tail length, Jak3, Stat5b, and Il12a expression might be modulated by m6A modification. Our study demonstrated that Prmt5 regulates B-cell function through different mechanisms and supported the development of Prmt5-targeted antitumor treatments.
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Affiliation(s)
- Bingqian Zhou
- Department of Laboratory Medicine, Xin Hua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Faculty of Medical Laboratory Science, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Institute of Artificial Intelligence Medicine, Shanghai Academy of Experimental Medicine, Shanghai, China
| | - Ningdai Chen
- Department of Laboratory Medicine, Xin Hua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Faculty of Medical Laboratory Science, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Institute of Artificial Intelligence Medicine, Shanghai Academy of Experimental Medicine, Shanghai, China
| | - Zheyi Chen
- Department of Laboratory Medicine, Xin Hua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Faculty of Medical Laboratory Science, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Institute of Artificial Intelligence Medicine, Shanghai Academy of Experimental Medicine, Shanghai, China
| | - Shiyu Chen
- Department of Laboratory Medicine, Xin Hua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Faculty of Medical Laboratory Science, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Institute of Artificial Intelligence Medicine, Shanghai Academy of Experimental Medicine, Shanghai, China
| | - Junyao Yang
- Department of Laboratory Medicine, Xin Hua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Faculty of Medical Laboratory Science, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Institute of Artificial Intelligence Medicine, Shanghai Academy of Experimental Medicine, Shanghai, China
| | - Yingxia Zheng
- Department of Laboratory Medicine, Xin Hua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Faculty of Medical Laboratory Science, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Institute of Artificial Intelligence Medicine, Shanghai Academy of Experimental Medicine, Shanghai, China
| | - Lisong Shen
- Department of Laboratory Medicine, Xin Hua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Faculty of Medical Laboratory Science, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Institute of Artificial Intelligence Medicine, Shanghai Academy of Experimental Medicine, Shanghai, China
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Zhang Y, Verwilligen RAF, Van Eck M, Hoekstra M. PRMT5 inhibition induces pro-inflammatory macrophage polarization and increased hepatic triglyceride levels without affecting atherosclerosis in mice. J Cell Mol Med 2023; 27:1056-1068. [PMID: 36946061 PMCID: PMC10098290 DOI: 10.1111/jcmm.17676] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Revised: 01/02/2023] [Accepted: 01/06/2023] [Indexed: 03/23/2023] Open
Abstract
Protein arginine methyltransferase 5 (PRMT5) controls inflammation and metabolism through modulation of histone methylation and gene transcription. Given the important role of inflammation and metabolism in atherosclerotic cardiovascular disease, here we examined the role of PRMT5 in atherosclerosis using the specific PRMT5 inhibitor GSK3326595. Cultured thioglycollate-elicited peritoneal macrophages were exposed to GSK3326595 or DMSO control and stimulated with either 1 ng/mL LPS or 100 ng/mL interferon-gamma for 24 h. Furthermore, male low-density lipoprotein (LDL) receptor knockout mice were fed an atherogenic Western-type diet and injected intraperitoneally 3×/week with a low dose of 5 mg/kg GSK3326595 or solvent control for 9 weeks. In vitro, GSK3326595 primed peritoneal macrophages to interferon-gamma-induced M1 polarization, as evidenced by an increased M1/M2 gene marker ratio. In contrast, no difference was found in the protein expression of iNOS (M1 marker) and ARG1 (M2 marker) in peritoneal macrophages of GSK3326595-treated mice. Also no change in the T cell activation state or the susceptibility to atherosclerosis was detected. However, chronic GSK3326595 treatment did activate genes involved in hepatic fatty acid acquisition, i.e. SREBF1, FASN, and CD36 (+59%, +124%, and +67%, respectively; p < 0.05) and significantly increased hepatic triglyceride levels (+50%; p < 0.05). PRMT5 inhibition by low-dose GSK3326595 treatment does not affect the inflammatory state or atherosclerosis susceptibility of Western-type diet-fed LDL receptor knockout mice, while it induces hepatic triglyceride accumulation. Severe side effects in liver, i.e. development of non-alcoholic fatty liver disease, should thus be taken into account upon chronic treatment with this PRMT5 inhibitor.
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Affiliation(s)
- Yiheng Zhang
- Division of BioTherapeutics, Leiden Academic Centre for Drug Research (LACDR), Leiden University, Leiden, The Netherlands
| | - Robin A F Verwilligen
- Division of BioTherapeutics, Leiden Academic Centre for Drug Research (LACDR), Leiden University, Leiden, The Netherlands
| | - Miranda Van Eck
- Division of BioTherapeutics, Leiden Academic Centre for Drug Research (LACDR), Leiden University, Leiden, The Netherlands
- Division of Systems Pharmacology and Pharmacy, Leiden Academic Centre for Drug Research (LACDR), Leiden University, Leiden, The Netherlands
- Pharmacy Leiden, Leiden, The Netherlands
| | - Menno Hoekstra
- Division of BioTherapeutics, Leiden Academic Centre for Drug Research (LACDR), Leiden University, Leiden, The Netherlands
- Division of Systems Pharmacology and Pharmacy, Leiden Academic Centre for Drug Research (LACDR), Leiden University, Leiden, The Netherlands
- Pharmacy Leiden, Leiden, The Netherlands
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Guo Y, Jiang H, Wang J, Li P, Zeng X, Zhang T, Feng J, Nie R, Liu Y, Dong X, Hu Q. 5mC modification patterns provide novel direction for early acute myocardial infarction detection and personalized therapy. Front Cardiovasc Med 2022; 9:1053697. [PMID: 36620624 PMCID: PMC9816341 DOI: 10.3389/fcvm.2022.1053697] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Accepted: 12/05/2022] [Indexed: 12/24/2022] Open
Abstract
Background Most deaths from coronary artery disease (CAD) are due to acute myocardial infarction (AMI). There is an urgent need for early AMI detection, particularly in patients with stable CAD. 5-methylcytosine (5mC) regulatory genes have been demonstrated to involve in the progression and prognosis of cardiovascular diseases, while little research examined 5mC regulators in CAD to AMI progression. Method Two datasets (GSE59867 and GSE62646) were downloaded from Gene Expression Omnibus (GEO) database, and 21 m5C regulators were extracted from previous literature. Dysregulated 5mC regulators were screened out by "limma." The least absolute shrinkage and selection operator (LASSO) and support vector machine recursive feature elimination (SVM-RFE) algorithm were employed to identify hub 5mC regulators in CAD to AMI progression, and 43 clinical samples (Quantitative real-time PCR) were performed for expression validation. Then a logistic model was built to construct 5mC regulator signatures, and a series of bioinformatics algorithms were performed for model validation. Besides, 5mC-associated molecular clusters were studied via unsupervised clustering analysis, and correlation analysis between immunocyte and 5mC regulators in each cluster was conducted. Results Nine hub 5mC regulators were identified. A robust model was constructed, and its prominent classification accuracy was verified via ROC curve analysis (area under the curve [AUC] = 0.936 in the training cohort and AUC = 0.888 in the external validation cohort). Besides, the clinical effect of the model was validated by decision curve analysis. Then, 5mC modification clusters in AMI patients were identified, along with the immunocyte infiltration levels of each cluster. The correlation analysis found the strongest correlations were TET3-Mast cell in cluster-1 and TET3-MDSC in cluster-2. Conclusion Nine hub 5mC regulators (DNMT3B, MBD3, UHRF1, UHRF2, NTHL1, SMUG1, ZBTB33, TET1, and TET3) formed a diagnostic model, and concomitant results unraveled the critical impact of 5mC regulators, providing interesting epigenetics findings in AMI population vs. stable CAD.
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Affiliation(s)
- Yiqun Guo
- Department of Interventional Radiology and Vascular, Guangzhou Women and Children’s Medical Center, The Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Hua Jiang
- Department of Interventional Radiology and Vascular, Guangzhou Women and Children’s Medical Center, The Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Jinlong Wang
- Department of Cardiology, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China
| | - Ping Li
- Department of Cardiology, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China
| | - Xiaoquan Zeng
- Department of Cardiology, Xinfeng County People’s Hospital, Shaoguan, Guangdong, China
| | - Tao Zhang
- Department of Cardiology, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China
| | - Jianyi Feng
- Department of Cardiology, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China
| | - Ruqiong Nie
- Department of Cardiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Yulong Liu
- Department of Intervention and Vascular Surgery, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China,*Correspondence: Yulong Liu,
| | - Xiaobian Dong
- Department of Cardiology, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China,Xiaobian Dong,
| | - Qingsong Hu
- Department of Cardiology, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China,Qingsong Hu,
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Li X, Wang Z, Meng H, Meng F, Yang P. Expression of Membrane Bound O-Acyltransferase Domain Containing 7 after Myocardial Infarction and its Role in Lipid Metabolism in vitro. Int J Med Sci 2022; 19:609-617. [PMID: 35582424 PMCID: PMC9108405 DOI: 10.7150/ijms.70614] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Accepted: 03/05/2022] [Indexed: 12/05/2022] Open
Abstract
Background: Previous microarray analysis on peripheral blood leukocytes from three patients with acute myocardial infarction (AMI) showed that elevated expression of membrane bound o-acyltransferase domain containing 7(MBOAT7) relative to control. To further verify these findings, we investigated more patients and explored the possible mechanisms in vitro. Objective: To study alterations in MBOAT7 expression in leukocytes after AMI, and to explore the relationship between MBOAT7 and lipid metabolism pathways in hepatocytes in vitro. Methods: Ninety patients with AMI and 90 controls were recruited from the Han population in Northeast China. RT-fluorescent PCR was used to measure MBOAT7 mRNA levels. MBOAT7 interference and overexpression vectors were constructed and transfected into L-02 hepatocytes and expression was examined by RT-qPCR and western blotting. The expression of SCAP, LDLR, HMGCR, ACAT1, ABCA1, SREBP1, ACC, FAS, SCD, and PPARγ in the lipid metabolism pathway were investigated by RT-qPCR. Triglyceride and cholesterol levels were measured by ELISA. Results: It was found that MBOAT7 mRNA levels were elevated in the leukocytes of patients with AMI. Hepatocytes were successfully transfected, shown by attenuated MBOAT7 mRNA levels in the silenced group (0.41±0.04 vs 1.01±0.07 for control, P=0.0019 <0.01) and raised levels in the overexpressing cells (23.29±0.39 vs 1.00±0.06 for control, P <0.0001). These results were confirmed by western blotting. Expression of the lipid metabolism-related genes was altered in response to MBOAT7 expression. Triglyceride levels increased after MBOAT7 silencing (118.40 ± 2.26 vs 70.54 ± 0.25 for control, P<0.0001), as did those of cholesterol (628.30 ± 8.89 vs 544.70 ± 11.04, P = 0.0041) but were not altered on MBOAT7 overexpression. Conclusion: MBOAT7 did not affect the metabolism of triglycerides in hepatocytes through fatty acid synthesis and decomposition pathways. The MBOAT7 level in the peripheral blood can be used as a marker for acute myocardial infarction but cannot be used as a single therapeutic target to regulate lipid metabolism.
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Affiliation(s)
- Xiangdong Li
- Cardiovascular Department of China-Japan Union Hospital of Jilin University
| | - Zhiyuan Wang
- Ultrasound Department of China-Japan Union Hospital of Jilin University
| | - Heyu Meng
- Cardiovascular Department of China-Japan Union Hospital of Jilin University
| | - Fanbo Meng
- Cardiovascular Department of China-Japan Union Hospital of Jilin University
| | - Ping Yang
- Cardiovascular Department of China-Japan Union Hospital of Jilin University
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Li L, Meng H, Wang X, Ruan J, Tian X, Meng F. Low ZCCHC9 Gene Expression in Peripheral Blood May Be an Acute Myocardial Infarction Genetic Molecular Marker in Patients with Stable Coronary Atherosclerotic Disease. Int J Gen Med 2022; 15:1795-1804. [PMID: 35210844 PMCID: PMC8863191 DOI: 10.2147/ijgm.s346335] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Accepted: 01/25/2022] [Indexed: 12/11/2022] Open
Abstract
Purpose Patients and Methods Results Conclusion
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Affiliation(s)
- Lihong Li
- Department of Cardiology, The Third Hospital of Jilin University, Changchun, People’s Republic of China
| | - Heyu Meng
- Department of Cardiology, The Third Hospital of Jilin University, Changchun, People’s Republic of China
| | - Xue Wang
- Department of Cardiology, The Third Hospital of Jilin University, Changchun, People’s Republic of China
| | - Jianjun Ruan
- Department of Cardiology, The Third Hospital of Jilin University, Changchun, People’s Republic of China
| | - Xiaomin Tian
- Department of Cardiology, The Third Hospital of Jilin University, Changchun, People’s Republic of China
| | - Fanbo Meng
- Department of Cardiology, The Third Hospital of Jilin University, Changchun, People’s Republic of China
- Correspondence: Fanbo Meng, Department of Cardiology, The Third Hospital of Jilin University, Changchun, People’s Republic of China, Tel +86-15948346855, Fax + 86-431-84995228, Email
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Motolani A, Martin M, Sun M, Lu T. The Structure and Functions of PRMT5 in Human Diseases. Life (Basel) 2021; 11:life11101074. [PMID: 34685445 PMCID: PMC8539453 DOI: 10.3390/life11101074] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2021] [Revised: 10/06/2021] [Accepted: 10/07/2021] [Indexed: 12/17/2022] Open
Abstract
Since the discovery of protein arginine methyltransferase 5 (PRMT5) and the resolution of its structure, an increasing number of papers have investigated and delineated the structural and functional role of PRMT5 in diseased conditions. PRMT5 is a type II arginine methyltransferase that catalyzes symmetric dimethylation marks on histones and non-histone proteins. From gene regulation to human development, PRMT5 is involved in many vital biological functions in humans. The role of PRMT5 in various cancers is particularly well-documented, and investigations into the development of better PRMT5 inhibitors to promote tumor regression are ongoing. Notably, emerging studies have demonstrated the pathological contribution of PRMT5 in the progression of inflammatory diseases, such as diabetes, cardiovascular diseases, and neurodegenerative disorders. However, more research in this direction is needed. Herein, we critically review the position of PRMT5 in current literature, including its structure, mechanism of action, regulation, physiological and pathological relevance, and therapeutic strategies.
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Affiliation(s)
- Aishat Motolani
- Department of Pharmacology & Toxicology, Indiana University School of Medicine, Indianapolis, IN 46202, USA; (A.M.); (M.M.); (M.S.)
| | - Matthew Martin
- Department of Pharmacology & Toxicology, Indiana University School of Medicine, Indianapolis, IN 46202, USA; (A.M.); (M.M.); (M.S.)
| | - Mengyao Sun
- Department of Pharmacology & Toxicology, Indiana University School of Medicine, Indianapolis, IN 46202, USA; (A.M.); (M.M.); (M.S.)
| | - Tao Lu
- Department of Pharmacology & Toxicology, Indiana University School of Medicine, Indianapolis, IN 46202, USA; (A.M.); (M.M.); (M.S.)
- Department of Biochemistry & Molecular Biology, Indiana University School of Medicine, Indianapolis, IN 46202, USA
- Department of Medical & Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN 46202, USA
- Indiana University Melvin and Bren Simon Comprehensive Cancer Center, Indiana University School of Medicine, Indianapolis, IN 46202, USA
- Correspondence: ; Tel.: +1-317-278-0520
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Wang X, Meng H, Ruan J, Chen W, Meng F. Low G0S2 gene expression levels in peripheral blood may be a genetic marker of acute myocardial infarction in patients with stable coronary atherosclerotic disease: A retrospective clinical study. Medicine (Baltimore) 2021; 100:e23468. [PMID: 33545927 PMCID: PMC7837852 DOI: 10.1097/md.0000000000023468] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/13/2020] [Accepted: 11/02/2020] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND The G0/G1 switch 2 (G0S2) gene is closely related to lipolysis, cell proliferation, apoptosis, oxidative phosphorylation, and the development of a variety of tumors. The aim of the present study was to expand the sample size to confirm the relationship between the expression of the G0S2 gene in peripheral blood and acute myocardial infarction (AMI) based on previous gene chip results. METHODS Three hundred patients were initially selected, of which 133 were excluded in accordance with the exclusion criteria. Peripheral blood leukocytes were collected from 92 patients with AMI and 75 patients with stable coronary atherosclerotic disease (CAD). mRNA expression levels of G0S2 in peripheral blood leukocytes was measured by RT-PCR, and protein expression levels by Western blot analysis. The results of these assays in the 2 groups were compared. RESULTS mRNA expression levels of GOS2 in the peripheral blood leukocytes of patients with AMI were 0.41-fold lower than those of patients with stable CAD (P < .05), and GOS2 protein expression levels were 0.45-fold lower. Multivariate logistic regression analysis indicated that low expression levels of the G0S2 gene increased the risk of AMI by 2.08-fold in stable CAD patients. CONCLUSIONS G0S2 gene expression in the peripheral blood leukocytes of AMI patients was lower than that of stable CAD patients. Low G0S2 gene expression in peripheral blood leukocytes is an independent risk factor for AMI in stable CAD patients.
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Cai S, Liu R, Wang P, Li J, Xie T, Wang M, Cao Y, Li Z, Liu P. PRMT5 Prevents Cardiomyocyte Hypertrophy via Symmetric Dimethylating HoxA9 and Repressing HoxA9 Expression. Front Pharmacol 2020; 11:600627. [PMID: 33424610 PMCID: PMC7793800 DOI: 10.3389/fphar.2020.600627] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2020] [Accepted: 11/20/2020] [Indexed: 12/20/2022] Open
Abstract
The present study reveals a link between protein arginine methyltransferase 5 (PRMT5) and Homebox A9 (HoxA9) in the regulation of cardiomyocyte hypertrophy. In cardiomyocyte hypertrophy induced by β-adrenergic receptor agonist isoprenaline (ISO), PRMT5 expression was decreased while HoxA9 was upregulated. Silencing of PRMT5 or inhibition of PRMT5 by its pharmacological inhibitor EPZ augmented the expressions of cardiomyocyte hypertrophic genes brain natriuretic peptide (BNP) and β-Myosin Heavy Chain (β-MHC), whereas overexpression of PRMT5 inhibited ISO-induced cardiomyocyte hypertrophy, suggesting that PRMT5 ameliorates cardiomyocyte hypertrophy. On the contrary, HoxA9 promoted cardiomyocyte hypertrophy, as implied by the gain-of-function and loss-of-function experiments. HoxA9 was involved in the regulation of PRMT5 in cardiomyocyte hypertrophy, since HoxA9 knockdown prevented si-RPMT5-induced cardiomyocyte hypertrophy, and HoxA9 expression impaired the anti-hypertrophic effect of PRMT5. Co-immunoprecipitation experiments revealed that there were physical interactions between PRMT5 and HoxA9. The symmetric dimethylation level of HoxA9 was decreased by ISO or EPZ treatment, suggesting that HoxA9 is methylated by PRMT5. Additionally, PRMT5 repressed the expression of HoxA9. Chromatin immunoprecipitation (ChIP) assay demonstrated that HoxA9 could bind to the promoter of BNP, and that this binding affinity was further enhanced by ISO or EPZ. In conclusion, this study suggests that PRMT5 symmetric dimethylates HoxA9 and represses HoxA9 expression, thus impairing its binding to BNP promoter and ultimately protecting against cardiomyocyte hypertrophy. These findings provide a novel insight of the mechanism underlying the cardiac protective effect of PRMT5, and suggest potential therapeutic strategies of PRMT5 activation or HoxA9 inhibition in treatment of cardiac hypertrophy.
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Affiliation(s)
- Sidong Cai
- Laboratory of Pharmacology and Toxicology, School of Pharmaceutical Sciences, National and Local United Engineering Lab of Druggability and New Drugs Evaluation, Guangdong Engineering Laboratoty of Druggability and New Drug Evaluation, Guangdong Provincial Key Laboratory of New Drug Design and Evaluation, Higher Education Mega Center, Sun Yat-Sen University, Guangzhou, China
| | - Rong Liu
- Obstetrical Department, Guangzhou Clifford Hospital, Guangzhou, China
| | - Panxia Wang
- Laboratory of Pharmacology and Toxicology, School of Pharmaceutical Sciences, National and Local United Engineering Lab of Druggability and New Drugs Evaluation, Guangdong Engineering Laboratoty of Druggability and New Drug Evaluation, Guangdong Provincial Key Laboratory of New Drug Design and Evaluation, Higher Education Mega Center, Sun Yat-Sen University, Guangzhou, China
| | - Jingyan Li
- International Institute for Translational Chinese Medicine, School of Pharmaceutical Sciences, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Tingting Xie
- School of Nursing, Guangdong Pharmaceutical University, Guangzhou, China
| | - Minghui Wang
- Laboratory of Pharmacology and Toxicology, School of Pharmaceutical Sciences, National and Local United Engineering Lab of Druggability and New Drugs Evaluation, Guangdong Engineering Laboratoty of Druggability and New Drug Evaluation, Guangdong Provincial Key Laboratory of New Drug Design and Evaluation, Higher Education Mega Center, Sun Yat-Sen University, Guangzhou, China
| | - Yanjun Cao
- Laboratory of Pharmacology and Toxicology, School of Pharmaceutical Sciences, National and Local United Engineering Lab of Druggability and New Drugs Evaluation, Guangdong Engineering Laboratoty of Druggability and New Drug Evaluation, Guangdong Provincial Key Laboratory of New Drug Design and Evaluation, Higher Education Mega Center, Sun Yat-Sen University, Guangzhou, China
| | - Zhuoming Li
- Laboratory of Pharmacology and Toxicology, School of Pharmaceutical Sciences, National and Local United Engineering Lab of Druggability and New Drugs Evaluation, Guangdong Engineering Laboratoty of Druggability and New Drug Evaluation, Guangdong Provincial Key Laboratory of New Drug Design and Evaluation, Higher Education Mega Center, Sun Yat-Sen University, Guangzhou, China
| | - Peiqing Liu
- Laboratory of Pharmacology and Toxicology, School of Pharmaceutical Sciences, National and Local United Engineering Lab of Druggability and New Drugs Evaluation, Guangdong Engineering Laboratoty of Druggability and New Drug Evaluation, Guangdong Provincial Key Laboratory of New Drug Design and Evaluation, Higher Education Mega Center, Sun Yat-Sen University, Guangzhou, China
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The role of protein arginine methyltransferases in kidney diseases. Clin Sci (Lond) 2020; 134:2037-2051. [PMID: 32766778 DOI: 10.1042/cs20200680] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2020] [Revised: 07/22/2020] [Accepted: 07/27/2020] [Indexed: 12/16/2022]
Abstract
The methylation of arginine residues by protein arginine methyltransferases (PRMTs) is a crucial post-translational modification for many biological processes, including DNA repair, RNA processing, and transduction of intra- and extracellular signaling. Previous studies have reported that PRMTs are extensively involved in various pathologic states, including cancer, inflammation, and oxidative stress reaction. However, the role of PRMTs has not been well described in kidney diseases. Recent studies have shown that aberrant function of PRMTs and its metabolic products-symmetric dimethylarginine (SDMA) and asymmetric dimethylarginine (ADMA)-are involved in several renal pathological processes, including renal fibrosis, acute kidney injury (AKI), diabetic nephropathy (DN), hypertension, graft rejection and renal tumors. We aim in this review to elucidate the possible roles of PRMTs in normal renal function and various kidney diseases.
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Wang XY, Zhang F, Zhang C, Zheng LR, Yang J. The Biomarkers for Acute Myocardial Infarction and Heart Failure. BIOMED RESEARCH INTERNATIONAL 2020; 2020:2018035. [PMID: 32016113 PMCID: PMC6988690 DOI: 10.1155/2020/2018035] [Citation(s) in RCA: 40] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 09/01/2019] [Revised: 11/05/2019] [Accepted: 12/04/2019] [Indexed: 01/06/2023]
Abstract
The use of a large number of cardiovascular biomarkers, meant to complement the use of the electrocardiogram, echocardiography cardiac imaging, and clinical symptom assessment, has become a routine in clinical diagnosis, differential diagnosis, risk stratification, and prognosis and guides the management of patients with suspected cardiovascular diseases. There is a broad consensus that cardiac troponin and natriuretic peptides are the preferred biomarkers in clinical practice for the diagnosis of the acute coronary syndrome and heart failure, respectively, while the roles and possible clinical applications of several other potential biomarkers are still under study. This review mainly focuses on the recent studies of the roles and clinical applications of troponin and natriuretic peptides, which seem to be the best-validated markers in distinguishing and predicting the future cardiac events of patients with suspected cardiovascular diseases. Additionally, the review briefly discusses some of the large number of potential markers that may play a more prominent role in the future.
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Affiliation(s)
- Xi-Ying Wang
- Department of Cardiology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Fen Zhang
- Department of Cardiology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Chi Zhang
- Department of Cardiology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Liang-Rong Zheng
- Department of Cardiology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Jian Yang
- Department of Cardiology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
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Protein Arginine Methyltransferases in Cardiovascular and Neuronal Function. Mol Neurobiol 2019; 57:1716-1732. [PMID: 31823198 DOI: 10.1007/s12035-019-01850-z] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2019] [Accepted: 12/01/2019] [Indexed: 12/16/2022]
Abstract
The methylation of arginine residues by protein arginine methyltransferases (PRMTs) is a type of post-translational modification which is important for numerous cellular processes, including mRNA splicing, DNA repair, signal transduction, protein interaction, and transport. PRMTs have been extensively associated with various pathologies, including cancer, inflammation, and immunity response. However, the role of PRMTs has not been well described in vascular and neurological function. Aberrant expression of PRMTs can alter its metabolic products, asymmetric dimethylarginine (ADMA), and symmetric dimethylarginine (SDMA). Increased ADMA levels are recognized as an independent risk factor for cardiovascular disease and mortality. Recent studies have provided considerable advances in the development of small-molecule inhibitors of PRMTs to study their function under normal and pathological states. In this review, we aim to elucidate the particular roles of PRMTs in vascular and neuronal function as a potential target for cardiovascular and neurological diseases.
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