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

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

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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Bibliographic Details
Main Authors: Zhou Yi, Yang Chunhua, Zhou Jing, Zhang Qiyao, Sui Xingling, Dong Hongyu, Zhang Haidong, Wang Yue
Format: Article
Language:English
Published: De Gruyter 2024-11-01
Series:Translational Neuroscience
Subjects:
covid-19
major depressive disorder
neuroinflammation
neuroimmune response
transcriptional and posttranscriptional regulation
Online Access:https://doi.org/10.1515/tnsci-2022-0360
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Summary: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.
ISSN:2081-6936

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