探索miR-34a, miR-449和ADAM2/ADAM7表达作为男性不育症的潜在生物标志物:一种结合计算机和实验的方法。

IF 2.1 4区 生物学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY
Fariba Ghodrati, Kazem Parivar, Iraj Amiri, Nasim Hayati Roodbari
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引用次数: 0

摘要

miR-34a和miR-449是参与精子功能和男性生育能力的关键mirna,其失调可能导致男性不育。ADAM蛋白,特别是ADAM2和ADAM7,也与精子功能有关。本研究通过实验分析和分子对接研究miR-34a、miR-449和ADAM2/ADAM7之间的相互作用,探讨其在男性不育中的作用。在这项病例对照研究中,包括15名不育男性和15名健康对照者。real-time PCR检测miR-34a、miR-449和SOX30的基因表达水平,western blotting检测精子中ADAM7和ADAM2的蛋白水平。此外,进行分子对接以分析miR-34a/miR-449与ADAM2/ADAM7之间的结合亲和力,并评估对接评分和置信度。不育组精子中ADAM7和ADAM2蛋白表达水平与对照组相比差异有统计学意义(P≤0.05)。对照组和不育组之间miR-449、miR-34a和SOX30基因的表达差异有统计学意义(P
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploring miR-34a, miR-449, and ADAM2/ADAM7 Expressions as Potential Biomarkers in Male Infertility: A Combined In Silico and Experimental Approach.

miR-34a and miR-449 are key miRNAs involved in sperm function and male fertility, with their dysregulation potentially contributing to male infertility. ADAM proteins, specifically ADAM2 and ADAM7, are also implicated in sperm function. This study investigates the interactions between miR-34a, miR-449, and ADAM2/ADAM7, exploring their roles in male infertility through both experimental analyses and molecular docking. In this case-control study, 15 infertile males and 15 healthy controls were included. Gene expression levels of miR-34a, miR-449, and SOX30 were measured using real-time PCR, while protein levels of ADAM7 and ADAM2 in sperm were assessed through western blotting. Additionally, molecular docking was performed to analyze the binding affinities between miR-34a/miR-449 and ADAM2/ADAM7, with docking scores and confidence levels evaluated. Expression levels of ADAM7 and ADAM2 proteins in sperm from the infertile group showed significant differences compared with the control group (P ≤ 0.05). A significant difference was observed in the expression of miR-449, miR-34a, and SOX30 genes between the control and infertile groups (P < 0.05). A significant correlation between miR-34a expression, ADAM7 protein expression, and sperm morphology was observed. However, no statistically significant correlation was found between miR-34a expression and sperm motility, sperm count, blastocyst, or embryo rates in ICSI and IVF (P ≥ 0.05). Molecular docking and dynamics studies revealed strong interactions between miR-34a/miR-449 and ADAM proteins. The ADAM7/miR-34a complex showed the highest binding affinity with a docking score of - 372.40 and a confidence score of 0.9884, followed by ADAM7/miR-449. Hydrogen bond analysis indicated stable binding, with 9 bonds for ADAM2/miR-34a and 7 for ADAM7/miR-34a. These interactions suggest a significant role in regulating sperm morphology and function.miR-34a, miR-449, ADAM7, and ADAM2 protein expression appear to be involved in the molecular mechanisms of male infertility. These parameters show potential as biomarkers in assisted reproductive technology techniques, particularly by influencing sperm morphology and function.

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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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