In this study, a cross-sectional study and two-sample Mendelian randomization (TSMR) method were used to comprehensively investigate the relationship between plasma lipids and various types of osteoarthritis (OA). In this study, lipid data from 12,773 subjects obtained from NHANES were used to define atherogenic coefficient (AC) and atherogenic index of plasma indices and explore their association with the risk of developing OA. The causal relationship between plasma lipidome and OA was subsequently explored using a TSMR and Bayesian weighted Mendelian randomization analysis approach, and assessing the stability of results using multiple sensitivity analyses. The crude model in the multivariate logistic regression analysis revealed a negative association between AC scores and OA incidence (odds ratio = 0.91; 95% confidence interval, 0.87–0.95, P < .05). By smoothing curve fitting, a negative correlation was identified among AC, the atherogenic index of plasma index, and OA in the study. After screening by TSMR, Bayesian weighted Mendelian randomization, and sensitivity analyses, 10, 20, 9, 4, 4, 4, 1, 3, 7, 12, and 8 plasma lipids were present with alloa, hipoa, kneeoa, hipkneeoa, handoa, spineoa, thumboa, fingeroa, total hip replacement, total joint replacement, and total knee replacement, respectively, causal associations. Our study reaffirms the strong association between the pathogenesis of OA and plasma lipid abnormalities, which provides additional insights into future strategies to prevent and treat OA.
Li et al. (Fri,) studied this question.