Fang Tao, Shen Na, Shi Zhemin, Luo Weishun, Di Yanbo, Liu Xuan, Ma Shengnan, Wang Jing, Hou Shike
Tianjin Fourth Central Hospital, Tianjin University, Tianjin, 300072, China.
Institute of Disaster and Emergency Medicine, Tianjin University, Tianjin, 300072, China.
Mamm Genome. 2025 Mar;36(1):66-82. doi: 10.1007/s00335-024-10090-z. Epub 2024 Dec 10.
Major depressive disorder (MDD) and type 2 diabetes (TD) have been shown to be linked, but a comprehensive understanding of the underlying molecular mechanisms remains elusive. The purpose of this study was to explore the biological relationship between MDD and TD and verify the functional roles of key genes. We used the Gene Expression Omnibus database to investigate the targets associated with MDD and TD. Using linear models for microarray data, differentially expressed genes associated with MDD and TD were identified in GSE76826 and GSE95849, respectively, and 126 shared genes were significantly upregulated. Weighted gene coexpression network analysis identified modules associated with MDD and TD in the GSE38206 and GSE20966 datasets and identified 8 common genes. Functional enrichment analysis revealed that these genes were enriched in cell signaling, enzyme activity, cell structure and amino acid biosynthesis and involved in cell death pathways. Finally, combined with the CTD and GeneCards databases, lysophosphatidylglycerol acyltransferase 1 (LPGAT1) was identified as a key gene. LPGAT1 was validated in GSE201332 and GSE182117, and the subject operating characteristic curve showed good diagnostic potential for MDD and TD. Additionally, we used an in vitro model of MDD related to TD to verify the expression of LPGAT1. A subsequent gene knockdown assay revealed that the downregulation of LPGAT1 improved mitochondrial function and reduced apoptosis in damaged neurons. Taken together, our results highlight the role of LPGAT1 in the connection between MDD and TD, and these findings provide new insights into potential therapeutic targets for depression associated with diabetes.
重度抑郁症(MDD)与2型糖尿病(TD)已被证明存在关联,但对其潜在分子机制的全面理解仍不明确。本研究的目的是探索MDD与TD之间的生物学关系,并验证关键基因的功能作用。我们使用基因表达综合数据库来研究与MDD和TD相关的靶点。利用微阵列数据的线性模型,分别在GSE76826和GSE95849中鉴定出与MDD和TD相关的差异表达基因,并且有126个共享基因显著上调。加权基因共表达网络分析在GSE38206和GSE20966数据集中鉴定出与MDD和TD相关的模块,并确定了8个共同基因。功能富集分析表明,这些基因在细胞信号传导、酶活性、细胞结构和氨基酸生物合成中富集,并参与细胞死亡途径。最后,结合CTD和基因卡片数据库,溶血磷脂酰甘油酰基转移酶1(LPGAT1)被鉴定为关键基因。LPGAT1在GSE201332和GSE182117中得到验证,受试者工作特征曲线显示其对MDD和TD具有良好的诊断潜力。此外,我们使用与TD相关的MDD体外模型来验证LPGAT1的表达。随后的基因敲低实验表明,LPGAT1的下调改善了线粒体功能,并减少了受损神经元的凋亡。综上所述,我们的结果突出了LPGAT1在MDD与TD联系中的作用,这些发现为糖尿病相关抑郁症的潜在治疗靶点提供了新的见解。