biostudies-literatureUnknown16Huang M<h4>Background</h4>Osteoporosis and obesity are both major global public health problems. Observational studies have found that osteoporosis might be related to obesity. Mendelian randomization (MR) analysis could overcome the limitations of observational studies in assessing causal relationships.<h4>Objective</h4>This study aims to evaluate the causal potential relationship between obesity-related indicators and osteoporosis by using a two-sample MR analysis and to identify potential mediators.<h4>Method</h4>A total of 53 obesity-related indicators, 3,282 plasma protein lists, and 452 blood metabolite lists were downloaded from the public data set as instrumental variables, and the osteoporosis GWAS data of the MRC IEU Open GWAS database was used as the outcome indicators. Using two-samplFrontiers in endocrinology1435295https://www.ebi.ac.uk/biostudies/studies/S-EPMC11876022biostudies-literatureCausal inference study of plasma proteins and blood metabolites mediating the effect of obesity-related indicators on osteoporosis.PMC11876022Hu YShi RLi DDeng QHuang MXu FLi LWang JXv ZYang YZhu JXing FSun FZhang CfalseCausal inference study of plasma proteins and blood metabolites mediating the effect of obesity-related indicators on osteoporosis.<h4>Background</h4>Osteoporosis and obesity are both major global public health problems. Observational studies have found that osteoporosis might be related to obesity. Mendelian randomization (MR) analysis could overcome the limitations of observational studies in assessing causal relationships.<h4>Objective</h4>This study aims to evaluate the causal potential relationship between obesity-related indicators and osteoporosis by using a two-sample MR analysis and to identify potential mediators.<h4>Method</h4>A total of 53 obesity-related indicators, 3,282 plasma protein lists, and 452 blood metabolite lists were downloaded from the public data set as instrumental variables, and the osteoporosis GWAS data of the MRC IEU Open GWAS database was used as the outcome indicators. Using two-sampl2025-01-01T00:00:00Z20252025-04-22T20:05:39.27Z2025-04-06T03:04:09.068ZS-EPMC118760224004128410.3389/fendo.2025.1435295