Causal genes identification of giant cell arteritis in CD4+ Memory t cells: an integration of multi-omics and expression quantitative trait locus analysis

• Published in: Inflammation research Vol. 74; no. 1; p. 3
• Main Authors: Yu, Qiyi, Wu, Yifan, Ma, Xianda, Zhang, Yidong
• Format: Journal Article
• Language: English
• Published: Cham Springer International Publishing 01.12.2025; Springer Nature B.V
• Subjects: Aged; Allergology; Arteritis; Biological effects; Biomarkers; Biomedical and Life Sciences; Biomedicine; CD4 antigen; CD4-Positive T-Lymphocytes - immunology; Cell interactions; Cell lines; Dermatology; Drug metabolism; Female; Gene mapping; Genes; Giant Cell Arteritis - genetics; Giant Cell Arteritis - immunology; Humans; Immunological memory; Immunology; Inflammation; Jurkat Cells; Lymphocytes; Lymphocytes T; Male; Memory cells; Memory T Cells - immunology; Mendelian Randomization Analysis; Metabolites; Multiomics; Neurology; Original Research Paper; Pharmacology/Toxicology; Plasma proteins; Protein turnover; Proteins; Quantitative Trait Loci; Randomization; Rheumatology; Single-Cell Analysis; Vein & artery diseases; CD4+ Memory T cells; Giant cell arteritis; Mendelian randomization; Single-cell; Multi-omics

Background Giant cell arteritis (GCA) is a prevalent artery and is strongly correlated with age. The role of CD4+ Memory T cells in giant cell arteritis has not been elucidated. Method Through single-cell analysis, we focused on the CD4+ Memory T cells in giant cell arteritis. eQTL analysis and mend...