Construction of m6A-Related Gene Prediction Model and Subtype Analysis in Non-Obstructive Azoospermia Based on Bioinformatics

IF 2.5 3区医学 Q3 IMMUNOLOGY

American Journal of Reproductive Immunology Pub Date : 2024-07-03 DOI:10.1111/aji.13892

Guikang Li, Kai Che, Jie Wu, Bin Yang

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引用次数: 0

Abstract

Purpose

Non-obstructive azoospermia (NOA) is a severe and common cause of male infertility. Currently, the most reliable predictor of sperm retrieval success in NOA is histopathology, but preoperative testicular biopsy often increases the difficulty of sperm retrieval surgery. This study aims to explore the characteristics of N6-methyladenosine (m6A) modification in NOA patients and investigate the potential biomarkers and molecular mechanisms for pathological diagnosis and treatment of NOA using m6A-related genes.

Methods

NOA-related datasets were downloaded from the GEO database. Based on the results of LASSO regression analysis, a prediction model was established from differentially expressed m6A-related genes, and the predictive performance of the model was evaluated using ROC curves. Cluster analysis was performed based on differentially expressed m6A-related genes to evaluate the differences in different m6A modification patterns in terms of differentially expressed genes (DEGs), biological features, and immune features.

Results

There were significant differences in eight m6A-related genes between NOA samples and healthy controls. The ROC curves showed excellent predictive performance for the diagnostic models constructed with ALKBH5 and FTO. DEGs of two m6A modification subtypes indicated the influence of m6A-related genes in the biological processes of mitosis and meiosis in NOA patients, and there were significant immune differences between the two subtypes.

Conclusion

The NOA pathological diagnostic models constructed with FTO and ALKBH5 have good predictive ability. We have identified two different m6A modification subtypes, which may help predict sperm retrieval success rate and treatment selection in NOA patients.

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基于生物信息学的非梗阻性无精子症 m6A 相关基因预测模型构建与亚型分析

目的：非梗阻性无精子症（NOA）是导致男性不育的一个严重而常见的原因。目前，组织病理学是预测 NOA 取精成功率的最可靠指标，但术前睾丸活检往往会增加取精手术的难度。本研究旨在探索NOA患者N6-甲基腺苷（m6A）修饰的特点，并利用m6A相关基因研究NOA病理诊断和治疗的潜在生物标志物和分子机制：方法：从 GEO 数据库下载 NOA 相关数据集。方法：从 GEO 数据库下载 NOA 相关数据集，根据 LASSO 回归分析结果，建立 m6A 相关差异表达基因预测模型，并利用 ROC 曲线评估模型的预测性能。根据差异表达的m6A相关基因进行聚类分析，以评估不同m6A修饰模式在差异表达基因（DEG）、生物学特征和免疫特征方面的差异：结果：NOA样本和健康对照组样本的8个m6A相关基因存在明显差异。ROC曲线显示，用ALKBH5和FTO构建的诊断模型具有极佳的预测性能。两种m6A修饰亚型的DEGs表明，m6A相关基因对NOA患者有丝分裂和减数分裂的生物学过程有影响，两种亚型之间存在显著的免疫差异：结论：用FTO和ALKBH5构建的NOA病理诊断模型具有良好的预测能力。结论：用 FTO 和 ALKBH5 构建的 NOA 病理诊断模型具有良好的预测能力，我们发现了两种不同的 m6A 修饰亚型，它们可能有助于预测 NOA 患者的取精成功率和治疗选择。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

American Journal of Reproductive Immunology 医学-免疫学

CiteScore

6.20

自引率

5.60%

发文量

314

审稿时长

2 months

期刊介绍： The American Journal of Reproductive Immunology is an international journal devoted to the presentation of current information in all areas relating to Reproductive Immunology. The journal is directed toward both the basic scientist and the clinician, covering the whole process of reproduction as affected by immunological processes. The journal covers a variety of subspecialty topics, including fertility immunology, pregnancy immunology, immunogenetics, mucosal immunology, immunocontraception, endometriosis, abortion, tumor immunology of the reproductive tract, autoantibodies, infectious disease of the reproductive tract, and technical news.