Translational Neuroscience (Nov 2024)

Identifying key biomarkers and therapeutic candidates for post-COVID-19 depression through integrated omics and bioinformatics approaches

  • Zhou Yi,
  • Yang Chunhua,
  • Zhou Jing,
  • Zhang Qiyao,
  • Sui Xingling,
  • Dong Hongyu,
  • Zhang Haidong,
  • Wang Yue

DOI
https://doi.org/10.1515/tnsci-2022-0360
Journal volume & issue
Vol. 15, no. 1
pp. 518 – 37

Abstract

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Depression, the leading cause of disability worldwide, is known to be exacerbated by severe acute respiratory syndrome coronavirus 2 infection, worsening coronavirus disease 2019 (COVID-19) outcomes. However, the mechanisms and treatments for this comorbidity are not well understood.

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