Potential diagnostic markers and therapeutic targets for rheumatoid arthritis with comorbid depression based on bioinformatics analysis

Potential diagnostic markers and therapeutic targets for rheumatoid arthritis with comorbid depression based on bioinformatics analysis

BackgroundRheumatoid arthritis (RA) and depression are prevalent diseases that have a negative impact on the quality of life and place a significant economic burden on society. There is increasing evidence that the two diseases are closely related, which could make the disease outcomes worse. In thi...

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Bibliographic Details
Main Authors: Tao-tao Zhou, Ji-jia Sun, Li-dong Tang, Ying Yuan, Jian-ying Wang, Lei Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-02-01
Series:Frontiers in Immunology
Subjects:
rheumatoid arthritis
depression
bioinformatics
machine learning
molecular docking
Online Access:https://www.frontiersin.org/articles/10.3389/fimmu.2023.1007624/full

Internet

https://www.frontiersin.org/articles/10.3389/fimmu.2023.1007624/full

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