目的 采用生物信息学方法探究重度抑郁症（MDD）的氧化应激相关差异基因的表达模式及筛选相关的中药。方法 首先通过基因表达综合数据库获取数据集，利用R软件limma包筛选差异基因，从Genecard数据库获取氧化应激差异基因，利用韦恩图映射共有基因。其次对氧化应激差异基因进行基因本体（GO）和京都基因与基因组百科全书（KEGG）分析，接着构建蛋白质-蛋白质相互作用（PPI）网络筛选氧化应激的关键基因，接着进行免疫细胞浸润分析。最后利用Coremine Medical预测靶向中药。结果 经筛选共得到差异表达基因202个。KEGG富集分析集中在吞噬体，白细胞经内皮层迁移（TEM），脂肪细胞因子等通路。通过PPI网络和LASSO确定了与MDD氧化应激密切相关的2个关键基因为MOG和AIF1。ROC曲线显示2个关键基因具有很高的诊断价值。最后在GSE39653数据集中验证了以上Hub基因的显著差异表达。免疫通路富集显示，MDD组与健康组相比，静息态的NK细胞明显增高，T滤泡辅助细胞明显减少。利用CoremineMedical预测人参、茶树根、西红花等可作为预防或治疗MDD的靶向中药。结论 通过生物信息学分析得到MDD的氧化应激差异基因，预测了14种治疗MDD的首选中药，如蜂蜜、人参、茶树根等。

Objective Bioinformatics methods were used to explore the expression patterns of oxidative stress-related differential genes in patients with major depressive disorder (MDD) and screen related traditional Chinese medicines. Methods Firstly, datasets were acquired through the GEO database and differential genes were screened using the limma package in R software. Differential oxidative stress genes were selected from the Genecards database, and common genes were obtained using a Venn diagram. Secondly, the differentially expressed genes related to oxidative stress were analyzed using Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis. Then a protein-protein interaction (PPI) network was constructed to identify Key genes for oxidative stress. Then the immune cell infiltration analysis was performed. Finally, Coremine Medical was used to predict targeted traditional Chinese medicines. Results After screening, a total of 202 differentially expressed genes were identified. KEGG enrichment analysis indicated that DEGs were mainly enriched in phagosome, Leukocyte transendothelial migration, Adipocytokine signaling pathway. Through the protein interaction (PPI) network and LASSO, the two key genes closely related to oxidative stress in MDD were identified as MOG and AIF1. The ROC curve showed that two Hub genes had high diagnostic value. The significant differential expression of these Hub genes was validated in the GSE39653dataset. Immunological pathway enrichment showed that compared to the healthy group, the NK cells resting in the MDD group were significantly increased, and the Follicular helper T cells were significantly reduced. Coremine Medical predicted that Ginseng Radix et Rhizoma, Camellia sinensis, Croci Stigma and other Chinese medicines could be used as targeted preventive or therapeutic measures for MDD. Conclusion The differential oxidative stress genes of MDD were obtained by bioinformatics analysis, which predicted that 14 preferred Chinese medicines for MDD were honey, ginseng and tea roots.

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国家自然科学基金面上项目（82301725）;大学生创新创业训练计划项目（20230329）;中国博士后科学基金第73批面上资助（2023M732155）;山西省科技厅基础研究项目（202203021212028，202203021212038）;山西省高等学校科技创新项目（2020L0204，2022L132）;山西省卫生健康委中医药科研项目（2023ZYYC2034）;山西医科大学省级博士基金项目（SD2216）;山西医科大学校级博士启动基金项目（XD2102）;山西医科大学第一医院青年项目（YQ2203）;经方扶阳山西省重点实验室开放课题（CPSY202301）