Abstract
The aim of this study was to investigate the causal relationship between various autoimmune diseases (AIDs) and temporomandibular joint disorders (TMD) using Mendelian randomized (MR) analysis. Using publicly accessible statistics from genome-wide association studies (GWAS) statistics, we conducted a 2-sample MR analysis to examine the relationship between 5 prevalent AIDs and TMD, including rheumatoid arthritis (RA), multiple sclerosis (MS), ankylosing spondylitis (AS), and systemic lupus erythematosus (SLE) and psoriasis. The inverse variance weighted (IVW) was chosen as the main analysis method. The impacts of heterogeneity and pleiotropy were evaluated to validate the results. Finally, we verify the results using the bioinformatics method. Our MR analysis found RA (inverse variance weighted odds ratio (OR) = 1.087, 95% confidence interval (CI) = 1.027-1.151, P = .004) and MS (OR = 1.081; 95% CI: 1.029-1.135, P = .002) and AS (OR = 1.355; 95% CI: 1.037-1.772, P = .026) may increase the risk of TMD. Additionally, a reverse causal connection was found between TMD and RA (OR = 1.099; 95% CI: 1.006-1.200, P = .027). In addition, bioinformatics analysis revealed common DEGs between RA and TMD, highlighting shared molecular mechanisms that may underlie their association. The results of this study offer compelling evidence that some AIDs, including RA, MS, and AS, increase the likelihood of developing TMD. These results offer fresh perspectives on the fundamental etiological mechanisms of TMD and function as a guide for future clinical interventions aimed at AIDs patients, including early screening and TMD prevention.