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

Abstract excerpt

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 techniques. We sourced senescent genes from the HARG database and utilized three RA patient datasets obtained from the GEO...

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• interferon and immune responses
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