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Copyright: ©Author(s) 2026. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial (CC BY-NC 4.0) license. No commercial re-use. See permissions. Published by Baishideng Publishing Group Inc.
World J Psychiatry. Jun 19, 2026; 16(6): 115996
Published online Jun 19, 2026. doi: 10.5498/wjp.v16.i6.115996
Post-stroke depression update 2025: Mechanisms, prediction, and management
Jia-Xi Gu, Chao-Qiang Liu, Guang-Xi Chen, Tao Yao, Zhao-Xia Sun, Yong Wang
Jia-Xi Gu, Department of Neurology, China-Japan Union Hospital of Jilin University, Changchun 130033, Jilin Province, China
Chao-Qiang Liu, Guang-Xi Chen, Yong Wang, Department of Neurology, Wuhan Third Hospital & Tongren Hospital of Wuhan University, Wuhan 430060, Hubei Province, China
Tao Yao, Department of General Practice, Wuhan Third Hospital & Tongren Hospital of Wuhan University, Wuhan 430060, Hubei Province, China
Zhao-Xia Sun, Institute of Genomic Medicine, Wenzhou Medical University, Wenzhou 325035, Zhejiang Province, China
Yong Wang, Henan Key Laboratory of Rare Diseases, Center of Endocrinology and Metabolism, The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, Luoyang 471003, Henan Province, China
Author contributions: Gu JX designed the overall concept, outline, and manuscript design; performed data analysis and software utilization; created the figures and graphical concepts; led the writing and contributed to the review of the literature; Liu CQ and Chen GX contributed to the discussion, edited the manuscript, and reviewed the literature; Yao T supervised the project and provided critical revision; Wang Y conceived the study, supervised the entire project, and approved the final version to be published; Sun ZX guided the entire revision of the manuscript, and Gu JX and Wang Y collaboratively completed the revision work. All authors approved the final version to be published.
AI contribution statement: AI tools (DeepL and DeepSeek) were used solely for linguistic refinement and formatting assistance. The study design, methodology, data analysis, and interpretation of results were conducted solely by the human authors. AI tools played no role in these intellectual and scientific aspects of the research. Only Figure 4 was created using the AI-powered design tool “nano Banana” to generate medical/biological vector illustration elements in a style consistent with platforms like Figdraw and BioRender. All other figures and images in the manuscript are original creations produced by the authors without AI assistance.
Conflict-of-interest statement: The authors declare that they have no competing interests.
Corresponding author: Yong Wang, Researcher, Henan Key Laboratory of Rare Diseases, Center of Endocrinology and Metabolism, The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, Luoyang 471003, Henan Province, China. wangyong0327ybu@163.com
Received: October 31, 2025
Revised: January 9, 2026
Accepted: February 2, 2026
Published online: June 19, 2026
Processing time: 209 Days and 23.9 Hours
Core Tip

Core Tip: Post-stroke depression risk is refined by emerging biomarkers like vitamin D deficiency, hyperhomocysteinemia, and insulin resistance, alongside traditional factors. Multi-omics and artificial intelligence-driven models integrating clinical, neuroimaging, and inflammatory data show high predictive potential for precision stratification. Mechanistically, microglial/astrocytic polarization-driven neuroinflammation and gut-brain axis dysregulation are key therapeutic targets. Beyond first-line selective serotonin reuptake inhibitors, agomelatine, vitamin D supplementation, anti-inflammatory strategies, and evidence-based traditional Chinese medicine formulations that modulate neuro-immune crosstalk offer promising adjunctive treatments. A “predict-mechanism-intervene” paradigm is advocated to translate these advances into personalized management and improve long-term outcomes.

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