国际生殖健康/计划生育杂志2025，Vol.44Issue(5)：361-365,5.DOI:10.12280/gjszjk.20250163
生物信息学分析筛选畸形精子症氧化应激关键基因及候选中药材预测
Bioinformatics Analysis to Identify Oxidative Stress-Related Key Genes in Teratozoospermia and Predict Candidate Traditional Chinese Herbal Medicines
摘要
Abstract
Objective:To identify the oxidative stress-related key genes that differentially expressed(OS-DEG)in teratozoospermia through bioinformatics analysis,and to predict the candidate targeted Chinese herbal medicines.Methods:The GSE6969 gene expression profile from the GEO(Gene Expression Omnibus)database was retrieved,and the differentially expressed genes were screened.These genes were then intersected with the oxidative stress-related genes that retrieved from the GeneCards database.The key pathways and genes were identified through Gene Ontology(GO)enrichment analysis,Kyoto Encyclopedia of Genes and Genomes(KEGG)enrichment analysis,and protein-protein interaction(PPI)network analysis.Finally,the potential candidate herbal medicines targeting those key genes were searched from the Encyclopedia of Traditional Chinese Medicine(ETCM)database.Results:A total of 261 OS-DEGs Key genes were identified by differential analysis,including PTEN,JUN,glycogen synthase kinase 3β(GSK3β),and superoxide dismutase 2(SOD2)were screened using Cytoscape.The candidate Chinese herbal medicines were identified,such as Portulaca oleracea,Glehnia littoralis,Pinellia ternata,Verbena officinalis,Salvia miltiorrhiza,Typhonium giganteum.Conclusions:In this study,bioinformatics analysis was used to screen the genes related to oxidative stress in teratozoospermia,which provided a new insight into the treatment of teratozoospermia with traditional Chinese medicine.关键词
畸形精子症/氧化性应激/基因/中草药/生物信息分析Key words
Teratozoospermia/Oxidative stress/Genes/Drugs,Chinese herbal/Bioinformatics analysis引用本文复制引用
杜超,侯开波,关小川,王博伦,吴莹,于月新..生物信息学分析筛选畸形精子症氧化应激关键基因及候选中药材预测[J].国际生殖健康/计划生育杂志,2025,44(5):361-365,5.基金项目
辽宁省科学技术计划项目(2024JH2/102600271) （2024JH2/102600271）
