长链非编码RNA H19过表达通过靶向MicroRNA-138-5p/MCU轴抑制高糖诱导的心肌细胞氧化应激:对糖尿病性心肌病的影响

IF 1.6 4区 生物学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY
Xuelin Liu, Qian Zhang, Yuemei Zhang, Jianting Dong, Ruilin Wang, Qi Zhang, Yongqing Chen
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引用次数: 0

摘要

本研究探讨了长链非编码RNA H19对miR-138-5p的调控作用及其对高糖暴露心肌细胞线粒体氧化应激损伤的集体影响,同时阐明了潜在的分子机制。本研究旨在为了解糖尿病性心肌病的发病机制奠定理论基础。采用RT-qPCR定量检测lncRNA H19、miR-138-5p、MCU的表达水平。采用高糖(HG, 33 mM)体外培养H9c2心肌细胞,建立糖尿病性心肌病(DCM)模型。lncRNA H19与miR-138-5p之间以及miR-138-5p与线粒体单钙转运蛋白(MCU)之间的调控靶向关系通过双荧光素酶报告基因检测得到证实。通过测定心肌细胞的活性氧(ROS)、超氧化物歧化酶(SOD)活性和丙二醛(MDA)含量来评估细胞内氧化应激。western blotting检测MCU蛋白表达。在DCM中,H19和MCU下调;miR-138-5p上调。H19过表达增加hg处理的H9c2心肌细胞SOD活性,降低ROS和MDA水平。双荧光素酶测定证实了miR-138-5p与H19和MCU 3' utr的结合。miR-138-5p过表达抑制MCU蛋白表达。救援实验表明,在hg刺激的细胞中,miR-138-5p过表达或MCU沉默逆转了h19介导的氧化应激衰减。H19的过表达通过调节DCM中的miR-138-5p/MCU轴来减弱氧化应激,突出了其作为DCM的诊断生物标志物和/或治疗靶点的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Long Noncoding RNA H19 Overexpression Inhibits High Glucose-Induced Oxidative Stress of Cardiomyocytes by Targeting MicroRNA-138-5p/MCU Axis: Implications for Diabetic Cardiomyopathy.

This study investigates the regulatory effects of long non-coding RNA H19 on miR-138-5p and their collective impact on mitochondrial oxidative stress injury in high glucose-exposed cardiomyocytes, while elucidating the underlying molecular mechanisms. The findings aim to establish a theoretical foundation for understanding the pathogenesis of diabetic cardiomyopathy. The expression levels of lncRNA H19, miR-138-5p, and MCU were quantified using RT-qPCR. H9c2 cardiomyocytes were exposed to high glucose (HG, 33 mM) in vitro to establish a diabetic cardiomyopathy (DCM) model. Regulatory targeting relationships between lncRNA H19 and miR-138-5p, as well as between miR-138-5p and mitochondrial calcium uniporter(MCU), were confirmed through dual-luciferase reporter assays. Levels of reactive oxygen species (ROS), superoxide dismutase (SOD) activity, and malondialdehyde (MDA) content were quantified to evaluate intracellular oxidative stress in cardiomyocytes. MCU protein expression was analyzed by western blotting. In DCM, H19 and MCU were downregulated; miR-138-5p was upregulated. H19 overexpression increased SOD activity and reduced ROS and MDA levels in HG-treated H9c2 cardiomyocytes. Dual-luciferase assays validated miR-138-5p binding to H19 and MCU 3'UTRs. miR-138-5p overexpression suppressed MCU protein expression. Rescue experiments demonstrated miR-138-5p overexpression or MCU silencing reversed H19-mediated oxidative stress attenuation in HG-stimulated cells. Overexpression of H19 attenuates oxidative stress by modulating the miR-138-5p/MCU axis in DCM, highlighting its potential as a diagnostic biomarker and/or therapeutic target for this condition.

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来源期刊
Biochemical Genetics
Biochemical Genetics 生物-生化与分子生物学
CiteScore
3.90
自引率
0.00%
发文量
133
审稿时长
4.8 months
期刊介绍: Biochemical Genetics welcomes original manuscripts that address and test clear scientific hypotheses, are directed to a broad scientific audience, and clearly contribute to the advancement of the field through the use of sound sampling or experimental design, reliable analytical methodologies and robust statistical analyses. Although studies focusing on particular regions and target organisms are welcome, it is not the journal’s goal to publish essentially descriptive studies that provide results with narrow applicability, or are based on very small samples or pseudoreplication. Rather, Biochemical Genetics welcomes review articles that go beyond summarizing previous publications and create added value through the systematic analysis and critique of the current state of knowledge or by conducting meta-analyses. Methodological articles are also within the scope of Biological Genetics, particularly when new laboratory techniques or computational approaches are fully described and thoroughly compared with the existing benchmark methods. Biochemical Genetics welcomes articles on the following topics: Genomics; Proteomics; Population genetics; Phylogenetics; Metagenomics; Microbial genetics; Genetics and evolution of wild and cultivated plants; Animal genetics and evolution; Human genetics and evolution; Genetic disorders; Genetic markers of diseases; Gene technology and therapy; Experimental and analytical methods; Statistical and computational methods.
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