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ABSTRACT: Background
Rheumatoid arthritis (RA) represents a persistent systemic autoimmune disorder characterized by chronic inflammation and significant disability. Macrophage heterogeneity plays a crucial role in the progression of RA, but the molecular characteristics and regulatory mechanisms of its subsets have not yet been fully elucidated.Methods
In this study, we integrated single-cell RNA sequencing (scRNA-seq) data and bulk RNA sequencing (bulk RNA-seq) data, and employed multiple strategies for analysis and identification of the heterogeneity of macrophages in RA. We identified STAT1 as a key gene through a combined approach utilizing LASSO regression and random forest models. The differential expression of STAT1 was subsequently validated in an adjuvant-induced arthritis
SUBMITTER: Ye L
PROVIDER: S-EPMC12548165 | biostudies-literature | 2025 Oct
REPOSITORIES: biostudies-literature