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Huang C, Han X, Yang L, Song W, Zhang H, Zhu X, Huang G, Xu J. Exosomal miR-129 and miR-342 derived from intermittent hypoxia-stimulated vascular smooth muscle cells inhibit the eIF2α/ATF4 axis from preventing calcified aortic valvular disease. J Cell Commun Signal 2023:10.1007/s12079-023-00785-4. [PMID: 37812275 DOI: 10.1007/s12079-023-00785-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2023] [Accepted: 09/01/2023] [Indexed: 10/10/2023] Open
Abstract
This study aims to elucidate the role of miR-129/miR-342 loaded in exosomes derived from vascular smooth muscle cells (VSMCs) stimulated by intermittent hypoxia in calcified aortic valvular disease (CAVD). Bioinformatics analysis was conducted to identify differentially expressed miRs in VSMCs-derived exosomes and CAVD samples, and their potential target genes were predicted. VSMCs were exposed to intermittent hypoxia to induce stimulation, followed by isolation of exosomes. Valvular interstitial cells (VICs) were cultured in vitro to investigate the impact of miR-129/miR-342 on VICs' osteogenic differentiation and aortic valve calcification with eIF2α. A CAVD mouse model was established using ApoE knockout mice for in vivo validation. In CAVD samples, miR-129 and miR-342 were downregulated, while eIF2α and ATF4 were upregulated. miR-129 and miR-342 exhibited inhibitory effects on eIF2α through targeted regulation. Exosomes released from intermittently hypoxia-stimulated VSMCs contained miR-129 and miR-342. Overexpression of miR-129 and miR-342, or silencing ATF4, suppressed VICs' osteogenic differentiation and aortic valve calcification, which could be rescued by overexpressed eIF2α. Collectively, intermittent hypoxia stimulation of VSMCs leads to the secretion of exosomes that activate the miR-129/miR-342 dual pathway, thereby inhibiting the eIF2α/ATF4 axis and attenuating VICs' osteogenic differentiation and CAVD progression.
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Affiliation(s)
- Chen Huang
- Department of Cardiovascular Surgery, The First Affiliated Hospital of Zhengzhou University, No.1, Jianshe East Road, Erqi Distrcit, Zhengzhou, 450000, Henan Province, China
| | - Xu Han
- Department of Cardiovascular Surgery, The First Affiliated Hospital of Zhengzhou University, No.1, Jianshe East Road, Erqi Distrcit, Zhengzhou, 450000, Henan Province, China
| | - Linjie Yang
- Department of Cardiovascular Surgery, The First Affiliated Hospital of Zhengzhou University, No.1, Jianshe East Road, Erqi Distrcit, Zhengzhou, 450000, Henan Province, China
| | - Wei Song
- Department of Cardiovascular Surgery, The First Affiliated Hospital of Zhengzhou University, No.1, Jianshe East Road, Erqi Distrcit, Zhengzhou, 450000, Henan Province, China
| | - Hualu Zhang
- Department of Physiology and Pathophysiology, Tianjin Medical University, Tianjin, 300070, China
| | - Xiaohua Zhu
- Department of Cardiovascular Surgery, The First Affiliated Hospital of Zhengzhou University, No.1, Jianshe East Road, Erqi Distrcit, Zhengzhou, 450000, Henan Province, China
| | - Gongcheng Huang
- Department of Cardiovascular Surgery, The First Affiliated Hospital of Zhengzhou University, No.1, Jianshe East Road, Erqi Distrcit, Zhengzhou, 450000, Henan Province, China
| | - Jing Xu
- Department of Cardiovascular Surgery, The First Affiliated Hospital of Zhengzhou University, No.1, Jianshe East Road, Erqi Distrcit, Zhengzhou, 450000, Henan Province, China.
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Cellular Mechanisms Underlying the Cardioprotective Role of Allicin on Cardiovascular Diseases. Int J Mol Sci 2022; 23:ijms23169082. [PMID: 36012349 PMCID: PMC9409331 DOI: 10.3390/ijms23169082] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Revised: 08/05/2022] [Accepted: 08/09/2022] [Indexed: 11/18/2022] Open
Abstract
Cardiovascular diseases (CVDs) are a group of diseases in which the common denominator is the affection of blood vessels, heart tissue, and heart rhythm. The genesis of CVD is complex and multifactorial; therefore, approaches are often based on multidisciplinary management and more than one drug is used to achieve the optimal control of risk factors (dyslipidemia, hypertension, hypertrophy, oxidative stress, endothelial dysfunction, inflammation). In this context, allicin, a sulfur compound naturally derived from garlic, has shown beneficial effects on several cardiovascular risk factors through the modulation of cellular mechanisms and signaling pathways. Effective pharmacological treatments for CVD or its risk factors have not been developed or are unknown in clinical practice. Thus, this work aimed to review the cellular mechanisms through which allicin exerts its therapeutic effects and to show why it could be a therapeutic option for the prevention or treatment of CVD and its risk factors.
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Prioritization of Candidate Biomarkers for Degenerative Aortic Stenosis through a Systems Biology-Based In-Silico Approach. J Pers Med 2022; 12:jpm12040642. [PMID: 35455758 PMCID: PMC9026876 DOI: 10.3390/jpm12040642] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Revised: 04/04/2022] [Accepted: 04/13/2022] [Indexed: 11/17/2022] Open
Abstract
Degenerative aortic stenosis is the most common valve disease in the elderly and is usually confirmed at an advanced stage when the only treatment is surgery. This work is focused on the study of previously defined biomarkers through systems biology and artificial neuronal networks to understand their potential role within aortic stenosis. The goal was generating a molecular panel of biomarkers to ensure an accurate diagnosis, risk stratification, and follow-up of aortic stenosis patients. We used in silico studies to combine and re-analyze the results of our previous studies and, with information from multiple databases, established a mathematical model. After this, we prioritized two proteins related to endoplasmic reticulum stress, thrombospondin-1 and endoplasmin, which have not been previously validated as markers for aortic stenosis, and analyzed them in a cell model and in plasma from human subjects. Large-scale bioinformatics tools allow us to extract the most significant results after using high throughput analytical techniques. Our results could help to prevent the development of aortic stenosis and open the possibility of a future strategy based on more specific therapies.
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