Aging associated immunosenescence in rheumatoid arthritis identified by machine learning and single cell profiling

Abstract Rheumatoid arthritis (RA) is increasingly prevalent among older adults, who often experience more severe symptoms and face significant treatment challenges. This study aims to identify specific genes associated with aging in RA and to analyze their immune infiltration using machine learning...

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Bibliographic Details
Main Authors: Xinxin Ji, Lingyun Li, Yuanzhuo Jiao, Hui Cheng
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:Scientific Reports
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Online Access:https://doi.org/10.1038/s41598-025-15370-5
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