文献类型：期刊文献

英文题名：Identification of Ferroptosis-Related Hub Genes as Diagnosis Biomarkers and Therapeutic Monitoring for Major Depressive Disorder Diagnosis

作者：Huang, Shenghui[1,2];Xie, Shoupin[3];Feng, Fei[4];Wan, Yanyan[5];Ma, Yanping[6];Wang, Yafeng[6];Zhang, Fan[6];Chen, Xinhong[7];Tang, Ping[7];Li, Hailong[8,9]

第一作者：Huang, Shenghui

通信作者：Tang, P[1];Li, HL[2];Li, HL[3]

机构：[1]Gansu Prov Hosp Tradit Chinese Med, Dept Mental Hlth, Lanzhou, Gansu, Peoples R China;[2]Gansu Prov Hosp Tradit Chinese Med, Sleep Ctr, Lanzhou, Gansu, Peoples R China;[3]Lanzhou First Peoples Hosp, Dept Neurol, Lanzhou, Gansu, Peoples R China;[4]Shenzhen Peoples Hosp, Dept Clin Psychol Psychosomat Med, Shenzhen, Peoples R China;[5]Luohu Dist Peoples Hosp, Dept Sci & Educ, Shenzhen, Peoples R China;[6]Gansu Univ Tradit Chinese Med, Affiliated Hosp, Dept Geriatr, Lanzhou, Peoples R China;[7]Shantou Univ, Luohu Clin Coll, Sch Med, Dept Gen Practice, Shenzhen, Peoples R China;[8]Shenzhen Integrated Tradit Chinese & Western Med H, Dept Geriatr, Shenzhen, Guangdong, Peoples R China;[9]Guangzhou Univ Chinese Med, Shenzhen Clin Med Coll Integrated Tradit Chinese &, Shenzhen, Peoples R China

第一机构：Gansu Prov Hosp Tradit Chinese Med, Dept Mental Hlth, Lanzhou, Gansu, Peoples R China

通信机构：[1]corresponding author), Shantou Univ, Luohu Clin Coll, Sch Med, Dept Gen Practice, Shenzhen, Peoples R China;[2]corresponding author), Shenzhen Integrated Tradit Chinese & Western Med H, Dept Geriatr, Shenzhen, Guangdong, Peoples R China;[3]corresponding author), Guangzhou Univ Chinese Med, Shenzhen Clin Med Coll Integrated Tradit Chinese &, Shenzhen, Peoples R China.

年份：2025

卷号：19

期号：1

外文期刊名：IET SYSTEMS BIOLOGY

收录：;EI(收录号：20254919633810);Scopus(收录号：2-s2.0-105023334889);WOS:【SCI-EXPANDED(收录号:WOS:001648567700011)】；

基金：This study was supported by Gansu Province Traditional Chinese Medicine Research Project (GZKP-2023-2), Shenzhen Key Medical Discipline Construction Fund (No. SZXK062), and the Joint Research Fund of Provincial Science and Technology Programme of Gansu Province (23JRRA1536).

语种：英文

外文关键词：biocomputers; bioinformatics; data analysis; data mining

摘要：Major Depressive Disorder (MDD) is linked to increased neurodegenerative risk. Emerging evidence implicates ferroptosis in neuropsychiatric disorders, prompting investigation of its role in MDD through key gene identification. Three microarray datasets from the GEO database were analysed. Weighted gene co-expression network analysis (WGCNA) identified MDD-related module genes (MRGs) while ferroptosis-related genes (FRGs) were extracted from the FerrDb database. Overlapping genes between MRGs and FRGs were prioritised for mechanistic exploration. Functional enrichment (GO/KEGG) and protein-protein interaction (PPI) network analyses (via Cytoscape and CytoHubba) highlighted hub genes. Machine learning algorithms were applied to develop a diagnostic model, validated through nomogram analysis, calibration curves, decision curve analysis (DCA), ROC curves (AUC evaluation), gene set enrichment analysis (GSEA), and DGIdb-based drug prediction. Differential expression analysis identified 1878 MDD-associated genes (715 downregulated, 1163 upregulated). Four FRGs-MAPK14, WIPI1, DUSP1, and ULK1-emerged as diagnostic biomarkers, showing significant immune cell infiltration correlations (e.g., neutrophils, dendritic cells) and enrichment in pathways like MAPK signalling. The study highlights ferroptosis-related genes (ULK1, MAPK14, WIPI1, DUSP1) as potential diagnostic and therapeutic targets in MDD, linked to neuroimmune interactions and cellular stress responses. These findings underscore MDD's pathophysiological complexity and may guide strategies for managing MDD and neurodegenerative comorbidities.