男性不育症的潜在生物标记特征:综合基因组分析

IF 1.2 Q4 GENETICS & HEREDITY
Devalina Junahar, Rinesia Dwiputri, Wirawan Adikusuma, Darmawi Darmawi, Afdal Afdal, Lalu Muhammad Irham, Suyanto Suyanto
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引用次数: 0

摘要

研究表明,50%的不孕症病例归因于男性不育,其中 15%是由特发性遗传因素引起的。目前,尚未发现男性不育症的特异性生物标志物。此外,对导致男性不育的遗传因素的研究仍然有限。与其他多因素遗传疾病一样,通过全基因组关联研究(GWAS)发现了许多男性不育的风险位点,但其临床意义仍不确定。因此,我们采用了一种基于生物信息学的综合方法来确定男性不育症的生物标志物。我们使用开放靶标平台(Open Targets Platform)、DisGeNet 和 GWAS Catalog 进行了生物信息学分析。然后,使用 STRING 数据库和 Cytoscape 程序分析蛋白质与蛋白质之间的相互作用。CytoHubba 用于确定最重要的候选基因。基因本体和京都基因与基因组百科全书的通路分析用于评估与男性不育症通路相对应的生物学功能。我们确定了 305 个与男性不育症相关的基因,并强调了 10 个作为男性不育症潜在生物标记的生物风险基因,如 TEX11、SPO11、SYCP3、HORMAD1、STAG3、MSH4、SYCP2、SYCE1、RAD21L1 和 AMH。在所有基因中,我们将前三个基因,即 TEX11、SPO11 和 SYCP3 作为最有可能成为生物标记物的基因。TEX11、SPO11和SYCP3参与减数分裂和精子发生。我们建议进一步研究这些基因在检测男性不育症方面的作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Potential biomarker signatures in male infertility: integrative genomic analysis
Studies have attributed 50% of infertility cases to male infertility, 15% of which is caused by idiopathic genetic factors. Currently, no specific biomarkers have been revealed for male infertility. Furthermore, research on genetic factors causing male infertility is still limited. As with other multifactorial genetic disorders, numerous risk loci for male infertility have been identified by genome-wide association studies (GWAS), although their clinical significance remains uncertain. Therefore, we utilized an integrative bioinformatics-based approach to identify biomarkers for male infertility. Bioinformatics analysis was performed using Open Targets Platform, DisGeNet, and GWAS Catalog. After that, the STRING database and the Cytoscape program were used to analyze protein–protein interaction. CytoHubba was used to determine the most significant gene candidates. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway analyses were used to assess biological functions that correspond to the male infertility disease pathway. We identified 305 genes associated with male infertility and highlighted 10 biological risk genes as potential biomarkers for male infertility such as TEX11, SPO11, SYCP3, HORMAD1, STAG3, MSH4, SYCP2, SYCE1, RAD21L1, and AMH. Of all the genes, we took the top three genes, namely, TEX11, SPO11, and SYCP3 as the genes that have the most potential as biomarkers. TEX11, SPO11, and SYCP3 are involved in meiosis and spermatogenesis. We propose that further research in regarding these genes in detecting male infertility.
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来源期刊
Egyptian Journal of Medical Human Genetics
Egyptian Journal of Medical Human Genetics Medicine-Genetics (clinical)
CiteScore
2.20
自引率
7.70%
发文量
150
审稿时长
18 weeks
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