{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,21]],"date-time":"2026-08-21T11:50:35Z","timestamp":1787313035014,"version":"build-2736575974"},"reference-count":38,"publisher":"Institution of Engineering and Technology (IET)","issue":"1","license":[{"start":{"date-parts":[[2025,11,27]],"date-time":"2025-11-27T00:00:00Z","timestamp":1764201600000},"content-version":"vor","delay-in-days":330,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["ietresearch.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["IET Systems Biology"],"published-print":{"date-parts":[[2025,1]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:p>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\u2010expression network analysis (WGCNA) identified MDD\u2010related module genes (MRGs) while ferroptosis\u2010related 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\u2010protein 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\u2010based drug prediction. Differential expression analysis identified 1878 MDD\u2010associated genes (715 downregulated, 1163 upregulated). Four FRGs\u2014MAPK14, WIPI1, DUSP1, and ULK1\u2014emerged 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\u2010related 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.<\/jats:p>","DOI":"10.1049\/syb2.70045","type":"journal-article","created":{"date-parts":[[2025,11,28]],"date-time":"2025-11-28T06:13:53Z","timestamp":1764310433000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Identification of Ferroptosis\u2010Related Hub Genes as Diagnosis Biomarkers and Therapeutic Monitoring for Major Depressive Disorder Diagnosis"],"prefix":"10.1049","volume":"19","author":[{"given":"Shenghui","family":"Huang","sequence":"first","affiliation":[{"name":"Department of Mental Health and Sleep Center Gansu Provincial Hospital of Traditional Chinese Medicine  Lanzhou Gansu China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shoupin","family":"Xie","sequence":"additional","affiliation":[{"name":"Department of Neurology Lanzhou First 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