Department of Reproductive Medicine, Liaocheng People's Hospital, Liaocheng, Shandong Province, China.
Department of Obstetrics and Gynecology，Liaocheng Tird People's Hospital, Liaocheng, Shandong Province, China.
Biotechnol Genet Eng Rev. 2024 Dec;40(4):4653-4663. doi: 10.1080/02648725.2023.2215966. Epub 2023 May 24.
This research aimed to obtain gestational diabetes mellitus (GDM) related hub genes, providing new targets for clinical diagnosis and treatment of GDM. The microarray data of GSE9984 and GSE103552 were obtained from the Gene Expression Omnibus (GEO). The dataset GSE9984 contained placental gene expression profiles of 8 GDM patients and four healthy specimens. The dataset GSE103552 contained 20 specimens from GDM patients and 17 normal specimens. The differentially expressed genes (DEGs) were identified by GEO2R online analysis. DAVID database was applied to conduct functional enrichment analysis of the DEGs. The Search Tool for the Retrieval of Interacting Genes (STRING) database was adopted to acquire protein-protein interaction (PPI) networks. A total of 195 up-regulated and 371 down-regulated DEGs were selected in the GSE9984, and total of 191 up-regulated and 229 down-regulated DEGs were selected in the GSE103552. In the two datasets, 24 common differential genes were obtained and named co-DEGs. The Gene Ontology (GO) annotation analysis indicated the DEGs participated in multi-multicellular organism process, endocrine hormone secretion, long-chain fatty acid biosynthetic process, cell division, unsaturated fatty acid biosynthetic process, cell adhesion and cell recognition. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis suggested that GSE9984 and GSE103552 were related to vitamin digestion and absorption, tryptophan metabolism, steroid hormone biosynthesis, Ras signaling pathway, protein digestion and absorption, PPAR signaling pathway, PI3K-Akt signaling pathway, p53 signaling pathway. PPI was constructed in string database, and six hub genes were selected, including CCNB1, APOA2, AHSG and IGFBP1. Four critical genes were identified to be considered as therapeutic potential biomarkers of GDM, including CCNB1, APOA2, AHSG and IGFBP1.
本研究旨在获取与妊娠期糖尿病（GDM）相关的枢纽基因，为 GDM 的临床诊断和治疗提供新的靶点。从基因表达综合数据库（GEO）中获取 GDM 的微阵列数据集 GSE9984 和 GSE103552。数据集 GSE9984 包含 8 名 GDM 患者和 4 名健康标本的胎盘基因表达谱。数据集 GSE103552 包含 20 名 GDM 患者和 17 名正常标本。通过 GEO2R 在线分析鉴定差异表达基因（DEGs）。使用 DAVID 数据库对 DEGs 进行功能富集分析。采用 Search Tool for the Retrieval of Interacting Genes（STRING）数据库获取蛋白质-蛋白质相互作用（PPI）网络。在 GSE9984 中筛选到 195 个上调和 371 个下调的 DEGs，在 GSE103552 中筛选到 191 个上调和 229 个下调的 DEGs。在这两个数据集中共获得 24 个共同差异基因，并命名为共 DEGs。GO 注释分析表明，DEGs 参与多细胞生物过程、内分泌激素分泌、长链脂肪酸生物合成过程、细胞分裂、不饱和脂肪酸生物合成过程、细胞黏附和细胞识别。KEGG 通路分析表明，GSE9984 和 GSE103552 与维生素消化吸收、色氨酸代谢、类固醇激素生物合成、Ras 信号通路、蛋白质消化吸收、PPAR 信号通路、PI3K-Akt 信号通路、p53 信号通路有关。在 STRING 数据库中构建 PPI，选择 6 个枢纽基因，包括 CCNB1、APOA2、AHSG 和 IGFBP1。鉴定出 4 个关键基因，认为是 GDM 治疗潜力的生物标志物，包括 CCNB1、APOA2、AHSG 和 IGFBP1。
