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May 17, 2026Brain Research Bulletin0 citationsOpen Access

Identifying Biomarkers for Post-Stroke Depression Through Exosomal Proteomics

Exploring Post-Stroke Depression: Exosomal Proteomics Reveals Underlying Mechanisms and Potential Plasma Biomarkers

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Authors

XYXuejing YueMZMengyuan ZhangJLJianglan Li

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Overview

Randomized trial explores biomarkers for post-stroke depression, suggesting implications for diagnosis.

Key Points

  • Identify potential biomarkers for post-stroke depression using exosomal proteomics analysis of plasma samples.
  • Patients with acute ischemic stroke were categorized based on Hamilton Depression Rating Scale (HAMD).
  • Exosomes were isolated from plasma samples using size exclusion filtration and ultracentrifugation.
  • Differentially expressed proteins were analyzed with direct-DIA proteomics and bioinformatics.
  • 111 differentially expressed proteins identified; 44 upregulated and 67 downregulated.
  • Upregulated proteins enriched in complement and coagulation cascades.
  • Key proteins PLG, HRG, and CPB2 identified as core nodes in protein-protein interaction network.
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Cite This Study

Yue et al. (2026) studied this question.

synapsesocial.com/papers/6a095bba7880e6d24efe1a46https://doi.org/10.1016/j.brainresbull.2026.111940
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