{"title":"妊娠期糖尿病氧化应激相关基因的生物标志物和通路的综合分析。","authors":"Yunyan Chen, Fuchu Qian, Yingying Chen","doi":"10.1111/aji.70052","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Problem</h3>\n \n <p>Oxidative stress (OS) plays a key role in the pathogenesis of gestational diabetes mellitus (GDM), but it was not well understood. We aimed to investigate the biomarkers and underlying mechanisms of OS-related genes in GDM.</p>\n </section>\n \n <section>\n \n <h3> Method of Study</h3>\n \n <p>The GSE103552 and GSE70493 datasets of GDM were acquired from the Gene Expression Omnibus (GEO) database. Then, oxidative stress-related differentially expressed genes (OSDEGs) were screened between GDM and normal samples from these two datasets. Further analyses were conducted by gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and Gene set enrichment analysis (GSEA) for these OSDEGs. Subsequently, protein-protein interaction (PPI) network analyses of these OSDEGs were carried out to screen the hub genes. Eventually, we used single-sample Gene-set enrichment analysis (ssGSEA) to compare the immune cell infiltration between GDM and normal samples.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>We identified 26 OSDEGs. Enrichment analysis suggested that the OSDEGs enriched in OS and diabetes-related pathways. GSEA revealed that these OSDEGs enriched in sensory perception of taste and negative regulation of notch4 signaling pathways. Moreover, PPI analysis showed that 15 OSDEGs were the hub gene in GDM. A total of 14 hub genes were highly expressed in GDM and might be used as diagnosis biomarkers. Moreover, many potential agents might target 10 hub genes for GDM treatment. In addition, immune infiltrate analyses revealed that expression of 14 hub genes was positively correlated to immune infiltrates in GDM.</p>\n </section>\n \n <section>\n \n <h3> Conclusion</h3>\n \n <p>OSDEGs are significant in GDM and may provide potential diagnostic biomarkers and treatment targets for GDM.</p>\n </section>\n </div>","PeriodicalId":7665,"journal":{"name":"American Journal of Reproductive Immunology","volume":"93 2","pages":""},"PeriodicalIF":2.4000,"publicationDate":"2025-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Integrative Analyses of Biomarkers and Pathways in Oxidative Stress-Related Genes for Gestational Diabetes Mellitus\",\"authors\":\"Yunyan Chen, Fuchu Qian, Yingying Chen\",\"doi\":\"10.1111/aji.70052\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Problem</h3>\\n \\n <p>Oxidative stress (OS) plays a key role in the pathogenesis of gestational diabetes mellitus (GDM), but it was not well understood. We aimed to investigate the biomarkers and underlying mechanisms of OS-related genes in GDM.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Method of Study</h3>\\n \\n <p>The GSE103552 and GSE70493 datasets of GDM were acquired from the Gene Expression Omnibus (GEO) database. Then, oxidative stress-related differentially expressed genes (OSDEGs) were screened between GDM and normal samples from these two datasets. Further analyses were conducted by gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and Gene set enrichment analysis (GSEA) for these OSDEGs. Subsequently, protein-protein interaction (PPI) network analyses of these OSDEGs were carried out to screen the hub genes. Eventually, we used single-sample Gene-set enrichment analysis (ssGSEA) to compare the immune cell infiltration between GDM and normal samples.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results</h3>\\n \\n <p>We identified 26 OSDEGs. 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引用次数: 0
摘要
问题：氧化应激（Oxidative stress， OS）在妊娠期糖尿病（gestational diabetes mellitus， GDM）的发病机制中起关键作用，但其机制尚不清楚。我们的目的是研究GDM中os相关基因的生物标志物和潜在机制。研究方法：GDM的GSE103552和GSE70493数据集来源于Gene Expression Omnibus （GEO）数据库。然后，从这两个数据集中筛选GDM和正常样本之间的氧化应激相关差异表达基因（OSDEGs）。通过基因本体（GO）、京都基因与基因组百科全书（KEGG）和基因集富集分析（GSEA）对这些osdeg进行进一步分析。随后，对这些osdeg进行蛋白-蛋白相互作用（PPI）网络分析，筛选中心基因。最后，我们使用单样本基因集富集分析（ssGSEA）来比较GDM和正常样本之间的免疫细胞浸润。结果：共鉴定出26个osdeg。富集分析表明osdeg富集于OS和糖尿病相关通路。GSEA显示，这些osdeg在味觉感知和notch4信号通路的负调控中富集。此外，PPI分析显示15个osdeg是GDM的枢纽基因。共有14个枢纽基因在GDM中高表达，可作为诊断生物标志物。此外，许多潜在的药物可能针对10个枢纽基因治疗GDM。此外，免疫浸润分析显示，GDM中14个hub基因的表达与免疫浸润呈正相关。结论：osdeg在GDM中具有重要意义，可能为GDM提供潜在的诊断生物标志物和治疗靶点。
Integrative Analyses of Biomarkers and Pathways in Oxidative Stress-Related Genes for Gestational Diabetes Mellitus
Problem
Oxidative stress (OS) plays a key role in the pathogenesis of gestational diabetes mellitus (GDM), but it was not well understood. We aimed to investigate the biomarkers and underlying mechanisms of OS-related genes in GDM.
Method of Study
The GSE103552 and GSE70493 datasets of GDM were acquired from the Gene Expression Omnibus (GEO) database. Then, oxidative stress-related differentially expressed genes (OSDEGs) were screened between GDM and normal samples from these two datasets. Further analyses were conducted by gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and Gene set enrichment analysis (GSEA) for these OSDEGs. Subsequently, protein-protein interaction (PPI) network analyses of these OSDEGs were carried out to screen the hub genes. Eventually, we used single-sample Gene-set enrichment analysis (ssGSEA) to compare the immune cell infiltration between GDM and normal samples.
Results
We identified 26 OSDEGs. Enrichment analysis suggested that the OSDEGs enriched in OS and diabetes-related pathways. GSEA revealed that these OSDEGs enriched in sensory perception of taste and negative regulation of notch4 signaling pathways. Moreover, PPI analysis showed that 15 OSDEGs were the hub gene in GDM. A total of 14 hub genes were highly expressed in GDM and might be used as diagnosis biomarkers. Moreover, many potential agents might target 10 hub genes for GDM treatment. In addition, immune infiltrate analyses revealed that expression of 14 hub genes was positively correlated to immune infiltrates in GDM.
Conclusion
OSDEGs are significant in GDM and may provide potential diagnostic biomarkers and treatment targets for GDM.
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.
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