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Abstract
Rheumatoid arthritis (RA) is an autoimmune disease characterized by the accumulation of leukocytes and inflammatory mediators within the synovial tissue. Leukocyte counts are proposed to play a role in the pathogenesis of RA. However, the causality remains unclear. To investigate the causal relationship between various leukocytes and RA by implementing two-sample univariable Mendelian Randomization (MR) and multivariable MR. MR analysis was performed using respective genome-wide association study (GWAS) summary statistics for the exposure traits (eosinophil counts, neutrophil counts, lymphocyte counts, monocyte counts, basophil counts, and white blood cell counts) and outcome trait (RA). Summary statistics for leukocytes were extracted from the Blood Cell Consortium meta-analysis and INTERVAL studies. Public GWAS information for RA included 14,361 cases and 43,923 controls. Inverse variance weighted, weighted median, MR-Egger regression, MR pleiotropy residual sum and outlier, and multivariable MR analyses were performed in MR analysis. Univariable MR found elevated eosinophil counts (OR 1.580, 95% CI 1.389–2.681, p = 1.30 × 10–7) significantly increased the risk of RA. Multivariable MR further confirmed that eosinophil counts were a risk factor for RA. Increased eosinophils were associated with higher risk of RA. Further elucidations of the causality and mechanisms underlying are likely to identify feasible interventions to promote RA prevention.
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1 The Second Hospital of Shanxi Medical University, Department of Clinicallaboratory, Taiyuan, China (GRID:grid.452845.a)
2 Shanxi Provincial Key Laboratory of Rheumatism Immune Microecology, Taiyuan, China (GRID:grid.452845.a); Ministry of Education, Key Laboratory of Cellular Physiology at Shanxi Medical University, Taiyuan, China (GRID:grid.454828.7) (ISNI:0000 0004 0638 8050)
3 Shanxi Provincial Key Laboratory of Rheumatism Immune Microecology, Taiyuan, China (GRID:grid.454828.7); Ministry of Education, Key Laboratory of Cellular Physiology at Shanxi Medical University, Taiyuan, China (GRID:grid.454828.7) (ISNI:0000 0004 0638 8050)
4 Shanxi Provincial Key Laboratory of Rheumatism Immune Microecology, Taiyuan, China (GRID:grid.454828.7); Ministry of Education, Key Laboratory of Cellular Physiology at Shanxi Medical University, Taiyuan, China (GRID:grid.454828.7) (ISNI:0000 0004 0638 8050); The Second Hospital of Shanxi Medical University, Department of Rheumatology, Taiyuan, China (GRID:grid.452845.a)
5 The Fifth People’s Hospital of Datong, Department of Rheumatology, Datong, China (GRID:grid.508005.8)
6 Shanxi Provincial Key Laboratory of Rheumatism Immune Microecology, Taiyuan, China (GRID:grid.508005.8); Ministry of Education, Key Laboratory of Cellular Physiology at Shanxi Medical University, Taiyuan, China (GRID:grid.454828.7) (ISNI:0000 0004 0638 8050); The Second Hospital of Shanxi Medical University, Department of Rheumatology, Taiyuan, China (GRID:grid.452845.a)
7 Shanxi Provincial Key Laboratory of Rheumatism Immune Microecology, Taiyuan, China (GRID:grid.452845.a); Ministry of Education, Key Laboratory of Cellular Physiology at Shanxi Medical University, Taiyuan, China (GRID:grid.454828.7) (ISNI:0000 0004 0638 8050); The Second Hospital of Shanxi Medical University, Department of Rheumatology, Taiyuan, China (GRID:grid.452845.a)