Chen Yunyan, Qian Fuchu, Chen Yingying
Department of gynecology and obstetrics, Deqing Hospital of Traditional Chinese Medicine, Deqing County, Zhejiang, China.
Department of Precision Medicine, Affiliated Central Hospital of Huzhou University, Huzhou Central Hospital, Huzhou, Zhejiang, China.
Am J Reprod Immunol. 2025 Feb;93(2):e70052. doi: 10.1111/aji.70052.
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.
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.
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.
OSDEGs are significant in GDM and may provide potential diagnostic biomarkers and treatment targets for GDM.
氧化应激（OS）在妊娠期糖尿病（GDM）的发病机制中起关键作用，但目前对此了解尚少。我们旨在研究GDM中与OS相关基因的生物标志物及潜在机制。
从基因表达综合数据库（GEO）获取GDM的GSE103552和GSE70493数据集。然后，在这两个数据集中筛选GDM与正常样本之间的氧化应激相关差异表达基因（OSDEGs）。对这些OSDEGs进行基因本体论（GO）、京都基因与基因组百科全书（KEGG）和基因集富集分析（GSEA）。随后，对这些OSDEGs进行蛋白质-蛋白质相互作用（PPI）网络分析以筛选枢纽基因。最后，我们使用单样本基因集富集分析（ssGSEA）比较GDM与正常样本之间的免疫细胞浸润情况。
我们鉴定出26个OSDEGs。富集分析表明，这些OSDEGs富集于OS和糖尿病相关途径。GSEA显示，这些OSDEGs富集于味觉的感觉感知和Notch4信号通路的负调控。此外，PPI分析表明，15个OSDEGs是GDM中的枢纽基因。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，许多潜在药物可能靶向这10个枢纽基因用于GDM治疗。另外，免疫浸润分析显示，14个枢纽基因的表达与GDM中的免疫浸润呈正相关。
OSDEGs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。
