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鉴定与无精子症精子发生相关的潜在生物标志物。

Identification of Potential Biomarkers Associated with Spermatogenesis in Azoospermia.

出版信息

Clin Lab. 2024 Nov 1;70(11). doi: 10.7754/Clin.Lab.2024.240541.

Abstract

BACKGROUND

Azoospermia, characterized by the absence of spermatozoa in the ejaculate, affects approximately 1% of all men and 10 - 15% of infertile males, representing the most severe form of male infertility. It is classified into obstructive azoospermia (OA) and nonobstructive azoospermia (NOA), with the latter often resulting from unexplained failures in spermatogenesis. This study endeavored to clarify the molecular underpinnings of sper-matogenesis in NOA and to identify viable therapeutic targets.

METHODS

We analyzed expression data from NOA and normal spermatogenesis samples obtained from the GEO database. Differential expression analysis was performed to identify differentially expressed genes (DEGs). We then intersected these DEGs with genes known to be related to spermatogenesis to pinpoint spermatogenesis-related DEGs specific to NOA. Subsequent analyses, including gene ontology (GO) and Kyoto encyclopedia of genes and genomes (KEGG) pathway enrichments, aimed to elucidate potential signaling pathways involved. A protein-protein interaction (PPI) network was constructed to highlight hub genes, whose diagnostic potential was assessed by using ROC curve analysis. Additionally, miRNA and transcription factor (TF) regulatory network for hub genes were analyzed. The efficacy of identified hub genes as biomarkers was validated through RT-qPCR and Western blotting in a mouse model of NOA.

RESULTS

This study identified 68 NOV-specific spermatogenesis-related genes. Enrichment analyses in GO and KEGG pathways highlighted their involvement in cellular processes related to reproduction in multicellular organism and endocrine and other factor-regulated calcium reabsorption. Seven hub genes were identified, with ROC curve analysis affirming their significant diagnostic value. Constructed networks revealed intricate interactions among miRNAs, hub genes, and TFs.

CONCLUSIONS

We identified seven hub genes (CATSPER1, CATSPER3, CATSPER4, CATSPERG, OAZ3, ODF1, and SUN5) significantly associated with spermatogenesis in NOA, demonstrating their potential as biomarkers for diagnosing and monitoring the disease.

摘要

背景

无精子症是指精液中缺乏精子,约影响所有男性的 1%和 10-15%的不育男性,是男性不育最严重的形式。它分为梗阻性无精子症(OA)和非梗阻性无精子症(NOA),后者通常是由于精子发生的不明原因失败引起的。本研究旨在阐明 NOA 精子发生的分子基础,并确定可行的治疗靶点。

方法

我们分析了从 GEO 数据库中获得的 NOA 和正常精子发生样本的表达数据。通过差异表达分析,鉴定差异表达基因(DEGs)。然后,我们将这些 DEGs 与已知与精子发生相关的基因相交,以确定与 NOA 特异性相关的精子发生相关 DEGs。随后的分析,包括基因本体论(GO)和京都基因与基因组百科全书(KEGG)通路富集,旨在阐明潜在的信号通路。构建蛋白质-蛋白质相互作用(PPI)网络以突出关键基因,并用 ROC 曲线分析评估其诊断潜力。此外,还分析了关键基因的 miRNA 和转录因子(TF)调控网络。通过在 NOA 小鼠模型中进行 RT-qPCR 和 Western blot 验证,验证了鉴定的关键基因作为生物标志物的功效。

结果

本研究鉴定了 68 个 NOV 特异性与精子发生相关的基因。GO 和 KEGG 通路的富集分析突出了它们在多细胞生物生殖和内分泌等因素调节的钙重吸收相关的细胞过程中的作用。鉴定了 7 个关键基因,ROC 曲线分析证实了它们具有显著的诊断价值。构建的网络揭示了 miRNA、关键基因和 TF 之间的复杂相互作用。

结论

我们鉴定了 7 个与 NOA 精子发生显著相关的关键基因(CATSPER1、CATSPER3、CATSPER4、CATSPERG、OAZ3、ODF1 和 SUN5),证明它们具有作为诊断和监测该疾病的生物标志物的潜力。

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