洞察男性不育症的复杂性:多组学综述。

IF 2.1 4区 医学 Q3 ANDROLOGY
Rebeka Podgrajsek, Alenka Hodzic, Martin Stimpfel, Tanja Kunej, Borut Peterlin
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引用次数: 0

摘要

男性不育是一种生殖疾病,占不育症的 40%-50%。目前,约 70% 的不育男性病因不明。随着新型全息技术的引入和高通量技术的发展,潜在的生物标志物正在出现。我们工作的主要目的是概述与特发性男性不育症相关的全方位组学方法的各个方面,并强调值得进一步探索的潜在基因、转录本、非编码 RNA、蛋白质和代谢物。通过基因本体(GO)分析,我们旨在比较每种全方位研究方法中富集的GO术语,并确定它们之间的重叠。我们在PubMed数据库中筛选了2014年2月至2022年6月期间发表的文献,使用的关键词是:男性不育症与不同全息方法的关联:基因组学、表观基因组学、转录组学、ncRNA组学、蛋白质组学和代谢组学。使用 Enrichr 工具进行了 GO 富集分析。我们检索了 281 项全球研究:171项基因组学研究(DNA水平)、21项表观基因组学研究(19项甲基化研究和2项组蛋白残基修饰研究)、15项转录组学研究、31项非编码RNA研究、29项蛋白质组学研究、2项蛋白质翻译后修饰研究和19项代谢组学研究。基因本体比较结果表明,不同的全局组学方法可以鉴定出不同的分子因子,而从不同的全局组学方法中获得的相应 GO 术语在很大程度上并不重叠。利用多组学系统生物学方法将新的全局组学水平整合到男性不育症特发性病因的研究中,我们将更接近找到潜在的生物标志物,从而了解男性不育症的全部病因、预后和潜在治疗方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Insight into the complexity of male infertility: a multi-omics review.

Male infertility is a reproductive disorder, accounting for 40-50% of infertility. Currently, in about 70% of infertile men, the cause remains unknown. With the introduction of novel omics and advancement in high-throughput technology, potential biomarkers are emerging. The main purpose of our work was to overview different aspects of omics approaches in association with idiopathic male infertility and highlight potential genes, transcripts, non-coding RNA, proteins, and metabolites worth further exploring. Using the Gene Ontology (GO) analysis, we aimed to compare enriched GO terms from each omics approach and determine their overlapping. A PubMed database screening for the literature published between February 2014 and June 2022 was performed using the keywords: male infertility in association with different omics approaches: genomics, epigenomics, transcriptomics, ncRNAomics, proteomics, and metabolomics. A GO enrichment analysis was performed using the Enrichr tool. We retrieved 281 global studies: 171 genomics (DNA level), 21 epigenomics (19 of methylation and two histone residue modifications), 15 transcriptomics, 31 non-coding RNA, 29 proteomics, two protein posttranslational modification, and 19 metabolomics studies. Gene ontology comparison showed that different omics approaches lead to the identification of different molecular factors and that the corresponding GO terms, obtained from different omics approaches, do not overlap to a larger extent. With the integration of novel omics levels into the research of idiopathic causes of male infertility, using multi-omic systems biology approaches, we will be closer to finding the potential biomarkers and consequently becoming aware of the entire spectrum of male infertility, their cause, prognosis, and potential treatment.

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来源期刊
CiteScore
4.30
自引率
4.20%
发文量
27
审稿时长
>12 weeks
期刊介绍: Systems Biology in Reproductive Medicine, SBiRM, publishes Research Articles, Communications, Applications Notes that include protocols a Clinical Corner that includes case reports, Review Articles and Hypotheses and Letters to the Editor on human and animal reproduction. The journal will highlight the use of systems approaches including genomic, cellular, proteomic, metabolomic, bioinformatic, molecular, and biochemical, to address fundamental questions in reproductive biology, reproductive medicine, and translational research. The journal publishes research involving human and animal gametes, stem cells, developmental biology and toxicology, and clinical care in reproductive medicine. Specific areas of interest to the journal include: male factor infertility and germ cell biology, reproductive technologies (gamete micro-manipulation and cryopreservation, in vitro fertilization/embryo transfer (IVF/ET) and contraception. Research that is directed towards developing new or enhanced technologies for clinical medicine or scientific research in reproduction is of significant interest to the journal.
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