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Integrated Multi-Omics Analysis Reveals Immune and Metabolic Dysregulation in a Restraint Stress-Induced Depression Model

  • Ziying Wang
  • , Xiangyu Wang
  • , Yuting Li
  • , Qian Zhao
  • , Zhaohui Lan*
  • , Weidong Li*
  • *Corresponding author for this work
  • Shanghai Jiao Tong University

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)

Abstract

Background: Major depressive disorder (MDD) is a prevalent and disabling psychiatric illness with complex etiologies involving both genetic and environmental factors. While environmental stress is a known risk factor of MDD, the molecular mechanisms linking stress exposure to persistent depressive phenotypes remain incompletely understood. Methods: We established a 24-hour restraint stress-induced depression model in mice and performed integrated transcriptomic and proteomic analyses of the medial prefrontal cortex (mPFC) to investigate stress-related molecular alterations. Results: Behavioral assessments confirmed persistent depression-like phenotypes, including anhedonia and behavioral despair, lasting up to 35 days post-stress. RNA sequencing identified differentially expressed genes related to dopaminergic signaling and oxidative stress. Proteomic analysis identified 105 differentially expressed proteins involved in immune response and energy metabolism. Integrated multi-omics analysis highlighted convergent disruptions in immune regulation, metabolism, and epigenetic processes. Notably, clemastine exerts its antidepressant-like effects in part by mitigating neuroinflammation and preserving mitochondrial function. Conclusions: These findings provide novel insights into the molecular basis of stress-induced depression and suggest that clemastine is a potential therapeutic candidate.

Original languageEnglish
Article number2183
JournalBiomedicines
Volume13
Issue number9
DOIs
Publication statusPublished - Sept 2025
Externally publishedYes

Keywords

  • clemastine
  • depression
  • proteomics
  • restraint
  • transcriptomics

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