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Shen J, Tang L, Wang Z, Ma Q, Lin F, Liu H. Clinical Value and Potential Molecular Mechanism of miR-373-3p in Coronary Atherosclerosis. Clin Appl Thromb Hemost 2025; 31:10760296251319953. [PMID: 40116722 PMCID: PMC11930461 DOI: 10.1177/10760296251319953] [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: 11/19/2024] [Revised: 01/23/2025] [Accepted: 01/28/2025] [Indexed: 03/23/2025] Open
Abstract
BackgroundCoronary atherosclerosis (CAS) is a chronic inflammatory condition marked by damage to the coronary artery endothelium, lipid accumulation, and fibrosis. It stands as the principal etiology of coronary heart disease (CHD).AimsThe rationale of this study was to investigate the clinical value and potential mechanism of miR-373-3p in carotid CAS.MethodsA total of 95 patients with CAS and 35 controls were enrolled in the study. RT-qPCR was used to evaluate the relative expression of miR-373-3p. ROC curve was used to analyze the diagnostic value of miR-373-3p in CAS. Logistic regression analysis was utilized to evaluate whether miR-373-3p serves as a risk factor for CAS. In addition, miR-373-3p overexpression and knockdown models of endothelial progenitor (EPCs) were established to investigate the mechanism of miR-373-3p in the regulation of EPCs.ResultsThe level of miR-373-3p in CAS patients was significantly increased. MiR-373-3p can well distinguish patients with CAS and is a risk factor for CAS. The over-expression of miR-373-3p can substantially inhibit the proliferation, migration and invasion of EPCs, and stimulate the apoptosis of EPCs. MiR-373-3p is involved in the progression of CAS by targeting VEGFA.ConclusionsAs a highly sensitive potential biomarker, miR-373-3p can predict the occurrence and progression of CAS. Additionally, miR-373-3p is involved in the progression of CAS by targeting VEGFA, which may play an essential role in the pathogenesis of CAS.
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Affiliation(s)
- JiaYang Shen
- School of Basic Medicine, Health Science Center, Yangtze University, Hubei, China
| | - Lihong Tang
- Department of Anesthesiology, The First Affiliated Hospital of Xinjiang Medical University, Xinjiang, China
| | - Zhe Wang
- Department of Cardiology, The Sixth People's Hospital of Zibo, Shandong, China
| | - Qiaoli Ma
- Department of Cardiology, Zibo Central Hospital, Shandong, China
| | - Fei Lin
- Department of Cardiology, The Sixth People's Hospital of Zibo, Shandong, China
| | - Hong Liu
- Department of Neurology, The Fourth Affiliated Hospital of China Medical University, Shenyang, China
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Namous H, Krueger C, Cheng Y, Melo PHC, Peppas A, Kaluza GL, Stoffregen WC, Reed J, Khatib H, Granada JF. Longitudinal dynamics of circulating miRNAs in a swine model of familial hypercholesterolemia during early atherosclerosis. Sci Rep 2023; 13:19355. [PMID: 37935844 PMCID: PMC10630391 DOI: 10.1038/s41598-023-46762-0] [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: 09/07/2023] [Accepted: 11/04/2023] [Indexed: 11/09/2023] Open
Abstract
Atherosclerosis is a complex progressive disease involving intertwined biological mechanisms. We aimed to identify miRNA expression dynamics at the early stages of atherosclerosis using a large swine model (Wisconsin Miniature Swine, WMS). A total of 18 female pigs; 9 familial hypercholesterolemic (WMS-FH) and 9 normal control swine (WMS-N) were studied. miRNA sequencing was performed on plasma cell-free RNA at 3, 6, and 9 months of age. RT-qPCR validated DE miRNAs in a new cohort of animals (n = 30) with both sexes. Gene ontology and mRNA targets for DE miRNAs were identified. In vivo multimodality imaging and histopathology were performed to document the presence of atherosclerosis at termination. 20, 19, and 9 miRNAs were significantly DE between the groups at months 3, 6, and 9, respectively. Most DE miRNAs and their target genes are involved in human atherosclerosis development. Coronary atherosclerosis was documented in 7/9 WMS-FH pigs. Control animals had no lesions. miR-138, miR-152, miR-190a, and miR-196a showed a significant diagnostic power at month 3, whereas miR-486, miR-126-3p, miR-335, and miR-423-5p were of significant diagnostic power at month 9. In conclusion, specific DE miRNAs with significant discriminatory power may be promising biomarkers for the early detection of coronary atherosclerosis.
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Affiliation(s)
- Hadjer Namous
- Department of Animal and Dairy Sciences, University of Wisconsin Madison, 1675 Observatory Drive, Madison, WI, 53706, USA
| | - Christian Krueger
- Department of Animal and Dairy Sciences, University of Wisconsin Madison, 1675 Observatory Drive, Madison, WI, 53706, USA
| | - Yanping Cheng
- Skirball Center for Innovation, Cardiovascular Research Foundation, 1700 Broadway, 9th Floor, New York, NY, 10019, USA
| | - Pedro H C Melo
- Skirball Center for Innovation, Cardiovascular Research Foundation, 1700 Broadway, 9th Floor, New York, NY, 10019, USA
| | - Athanasios Peppas
- Skirball Center for Innovation, Cardiovascular Research Foundation, 1700 Broadway, 9th Floor, New York, NY, 10019, USA
| | - Grzegorz L Kaluza
- Skirball Center for Innovation, Cardiovascular Research Foundation, 1700 Broadway, 9th Floor, New York, NY, 10019, USA
| | | | - Jess Reed
- Department of Animal and Dairy Sciences, University of Wisconsin Madison, 1675 Observatory Drive, Madison, WI, 53706, USA
| | - Hasan Khatib
- Department of Animal and Dairy Sciences, University of Wisconsin Madison, 1675 Observatory Drive, Madison, WI, 53706, USA.
| | - Juan F Granada
- Skirball Center for Innovation, Cardiovascular Research Foundation, 1700 Broadway, 9th Floor, New York, NY, 10019, USA.
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Dinh P, Peng J, Tran T, Wu D, Tran C, Dinh T, Pan S. Identification of hsa_circ_0001445 of a novel circRNA-miRNA-mRNA regulatory network as potential biomarker for coronary heart disease. Front Cardiovasc Med 2023; 10:1104223. [PMID: 36998978 PMCID: PMC10043405 DOI: 10.3389/fcvm.2023.1104223] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Accepted: 02/22/2023] [Indexed: 03/17/2023] Open
Abstract
ObjectsTo evaluate the hsa_circ_0001445 level in peripheral blood leukocytes of patients with coronary heart disease (CHD) and its related clinical factors, and predict its circRNA-miRNA-mRNA regulatory network in CHD pathogenesis via bioinformatics analysis.MethodsPeripheral blood leukocytes were isolated from the whole blood samples of 94 CHD patients (aged 65.96 ± 9.78 years old) and 126 healthy controls (aged 60.75 ± 8.81 years old). qRT-PCR was used to quantify the expression level of circRNA and subsequently analyze its association with CHD clinical parameters. Via bioinformatics algorithm and GEO datasets, differential miRNA expression was evaluated using the Limma package. A miRNA-mRNA regulatory network was predicted by cyTargetLinker. ClusterProfiler was employed to perform functional enrichment analysis of the circRNA network to investigate its role in CHD pathogenesis.ResultsThe expression of hsa_circ_0001445 in peripheral blood leukocytes of CHD patients was downregulated compared with that of healthy controls. Positive correlations were evident between hsa_circ_0001445 expression level and the levels of hemoglobin, triglycerides, high- and low-density lipoprotein cholesterol. A significant negative correlation was also found between hsa_circ_0001445 expression level and age and the neutrophil level. Low expression of hsa_circ_0001445 exhibited a discriminatory ability between CHD patients and healthy controls with a sensitivity of 67.5% and a specificity of 76.6% (p < 0.05). By bioinformatics analysis, 405 gene ontology terms were identified. The Kyoto Encyclopedia of Genes and Genomes terms focused principally on the PI3K-Akt signaling pathway. hsa_circ_0001445 was associated with the expression of three miRNAs that may regulate 18 genes involved in KEGG processes: hsa-miR-507, hsa-miR-375–3p, and hsa-miR-942–5p.ConclusionThe hsa_circ_0001445 level in peripheral blood leukocytes may serve as a biomarker for CHD diagnosis. Our work on circRNA-miRNA-mRNA networks suggests a potential role for hsa_circ_0001445 in CHD development.
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Affiliation(s)
- PhongSon Dinh
- Departments of Pathophysiology, Guangxi Medical University, Nanning, China
- College of Medicine and Pharmacy, Duy Tan University, Danang, Vietnam
| | - JunHua Peng
- Departments of Pathophysiology, Guangxi Medical University, Nanning, China
- Key Laboratory of Longevity and Ageing-Related Disease of Chinese Ministry of Education, Center for Translational Medicine and School of Preclinical Medicine, Guangxi Medical University, Nanning, China
| | - ThanhLoan Tran
- Departments of Pathophysiology, Guangxi Medical University, Nanning, China
- Department of Immunology and Pathophysiology, Hue University of Medicine and Pharmacy, Hue University, Hue, Vietnam
| | - DongFeng Wu
- Department of the Geriatric Cardiology, Guangxi Academy of Medical Sciences and the People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, China
| | - ChauMyThanh Tran
- College of Medicine and Pharmacy, Duy Tan University, Danang, Vietnam
| | - ThiPhuongHoai Dinh
- Department of Neurosurgery, Hue University Hospital, Hue University of Medicine and Pharmacy, Hue University, Hue, Vietnam
| | - ShangLing Pan
- Departments of Pathophysiology, Guangxi Medical University, Nanning, China
- Key Laboratory of Longevity and Ageing-Related Disease of Chinese Ministry of Education, Center for Translational Medicine and School of Preclinical Medicine, Guangxi Medical University, Nanning, China
- Correspondence: ShangLing Pan
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Fan Z, Peng W, Wang Z, Zhang L, Liu K. Identification of biomarkers associated with metabolic cardiovascular disease using mRNA-SNP-miRNA regulatory network analysis. BMC Cardiovasc Disord 2021; 21:351. [PMID: 34301176 PMCID: PMC8305867 DOI: 10.1186/s12872-021-02166-4] [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: 02/23/2021] [Accepted: 07/14/2021] [Indexed: 12/28/2022] Open
Abstract
Background CVD is the leading cause of death in T2DM patients. However, few biomarkers have been identified to detect and diagnose CVD in the early stage of T2DM. The aim of our study was to identify the important mRNAs, micro (mi)RNAs and SNPs (single nucleotide polymorphisms) that are associated with metabolic cardiovascular disease. Materials and methods Expression profiles and GWAS data were obtained from Gene Expression Omnibus (GEO) database. MiRNA-sequencing was conducted by Illumina HiSeq 2000 platform in T2DM patients and T2DM with CVD patients. EQTL analysis and gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were conducted. MRNA-miRNA co-expression network and mRNA-SNP-miRNA interaction network were established and visualized by Cytoscape 3.7.2. Results In our study, we identified 56 genes and 16 miRNAs that were significantly differentially expressed. KEGG analyses results indicated that B cell receptor signaling pathway and hematopoietic cell lineage were included in the biological functions of differentially expressed genes. MRNA-miRNA co-expression network and mRNA-SNP-miRNA interaction network illustrated that let-7i-5p, RASGRP3, KRT1 and CEP41 may be potential biomarkers for the early detection and diagnosis of CVD in T2DM patients. Conclusion Our results suggested that downregulated let-7i-5p, and upregulated RASGRP3, KRT1 and CEP41 may play crucial roles in molecular mechanisms underlying the initiation and development of CVD in T2DM patients. Supplementary Information The online version contains supplementary material available at 10.1186/s12872-021-02166-4.
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Affiliation(s)
- Zhiyuan Fan
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, and Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Wenjuan Peng
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, and Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Zhiwen Wang
- Department of Urology, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Ling Zhang
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, and Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Kuo Liu
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, and Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China.
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