Assessing causal associations of bile acids with obesity indicators: A Mendelian randomization study

• Published in: Medicine (Baltimore) Vol. 103; no. 25; p. e38610
• Main Authors: Huang, Chunxia, Xu, Shuling, Chen, Rumeng, Ding, Yining, Fu, Qingming, He, Binsheng, Jiang, Ting, Zeng, Bin, Bao, Meihua, Li, Sen
• Format: Journal Article
• Language: English
• Published: United States Lippincott Williams & Wilkins 21.06.2024
• Subjects: Bile Acids and Salts - blood; Bile Acids and Salts - metabolism; Causality; Genome-Wide Association Study; Humans; Mendelian Randomization Analysis - methods; Obesity - epidemiology; Obesity - genetics; Observational Study
• ISSN: 0025-7974; 1536-5964; 1536-5964
• DOI: 10.1097/MD.0000000000038610

Maintaining a balanced bile acids (BAs) metabolism is essential for lipid and cholesterol metabolism, as well as fat intake and absorption. The development of obesity may be intricately linked to BAs and their conjugated compounds. Our study aims to assess how BAs influence the obesity indicators by Mendelian randomization (MR) analysis. Instrumental variables of 5 BAs were obtained from public genome-wide association study databases, and 8 genome-wide association studies related to obesity indicators were used as outcomes. Causal inference analysis utilized inverse-variance weighted (IVW), weighted median, and MR-Egger methods. Sensitivity analysis involved MR-PRESSO and leave-one-out techniques to detect pleiotropy and outliers. Horizontal pleiotropy and heterogeneity were assessed using the MR-Egger intercept and Cochran Q statistic, respectively. The IVW analysis revealed an odds ratio of 0.94 (95% confidence interval: 0.88, 1.00; P = .05) for the association between glycolithocholate (GLCA) and obesity, indicating a marginal negative causal association. Consistent direction of the estimates obtained from the weighted median and MR-Egger methods was observed in the analysis of the association between GLCA and obesity. Furthermore, the IVW analysis demonstrated a suggestive association between GLCA and trunk fat percentage, with a beta value of -0.014 (95% confidence interval: -0.027, -0.0004; P = .04). Our findings suggest a potential negative causal relationship between GLCA and both obesity and trunk fat percentage, although no association survived corrections for multiple comparisons. These results indicate a trend towards a possible association between BAs and obesity, emphasizing the need for future studies.