Abstract：
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.
摘要：
男性不育是一种生殖障碍，占不孕症的40-50%。目前,在大约70%的不育男性中，原因仍然未知。随着新型组学的引入和高通量技术的进步，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相关的组学方法的不同方面，并突出潜在基因。成绩单,非编码RNA，蛋白质，和代谢物值得进一步探索。使用基因本体论(GO)分析，我们旨在比较来自每种组学方法的丰富的GO术语，并确定它们的重叠。PubMed数据库对2014年2月至2022年6月之间发表的文献进行了筛选，使用关键词：与不同组学方法相关的男性不育：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GO富集分析。我们检索了281项全球研究：171项基因组学（DNA水平），21表观基因组学（19个甲基化和两个组蛋白残基修饰），15个转录组学，31个非编码RNA，29蛋白质组学，两种蛋白质翻译后修饰，和19个代谢组学研究。基因本体论比较表明，不同的组学方法导致不同分子因子的鉴定，并且相应的GO术语，从不同的组学方法中获得，不要在更大程度上重叠。随着新的组学水平融入男性不育的特发性原因研究，使用多组学系统生物学方法，我们将更接近找到潜在的生物标志物，从而意识到男性不育的整个范围，他们的事业,预后,潜在的治疗。
