Association of selenium with type 2 diabetes and obesity: A univariate and multivariate Mendelian randomization study

Selenium is associated with an increased risk of type 2 diabetes. However, whether the diabetogenic effect of selenium is mediated through increased body mass index (BMI) remains inconclusive. We conducted univariable and multivariable 2-sample Mendelian randomization (MR) to investigate the impact of selenium on the risk of type 2 diabetes and obesity. And further, we also tested whether the effect of selenium on diabetes was mediated through BMI. The inverse variance-weighted method was used as the main analysis to assess the effect estimates. Genetically proxied blood selenium (odds ratio [OR] 1.13, 95% confidence interval [CI] 1.10-1.16, P < .001; per standard deviation elevation of selenium level) and toenail and blood selenium (OR 1.13, 95% CI 1.06-1.19, P < .001) were both associated with increased risk of type 2 diabetes. In multivariable MR analysis, the direct effect of selenium on the risk of type 2 diabetes decreased (blood selenium: OR 1.07, 95% CI 1.04-1.10, P < .001; toenail and blood selenium: OR 1.09, 95% CI 1.05-1.14, P < .001). The diabetogenic effect of selenium was mediated through increased BMI by 25% to 50%. This MR study suggests that the genetically proxied selenium is associated with increased risk of diabetes and obesity. And the diabetogenic effect of selenium is partially mediated through increased BMI.

Authors

Institutions

Publication Details

Journal
Medicine
Published
2025-10-17
DOI
https://doi.org/10.1097/md.0000000000045338
Citations
2
Primary Topic
Selenium in Biological Systems
Type
article
Field-Weighted Citation Impact
2.24
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Association of selenium with type 2 diabetes and obesity: A univariate and multivariate Mendelian randomization study

Lihui Cheng, Zeng Zheng, Hui Quan
2 citations
Medicine
Selenium in Biological Systems
2.24
article

Association of selenium with type 2 diabetes and obesity: A univariate and multivariate Mendelian randomization study

Lihui Cheng, Zeng Zheng, Hui Quan
article en
2 citations

Abstract

Selenium is associated with an increased risk of type 2 diabetes. However, whether the diabetogenic effect of selenium is mediated through increased body mass index (BMI) remains inconclusive. We conducted univariable and multivariable 2-sample Mendelian randomization (MR) to investigate the impact of selenium on the risk of type 2 diabetes and obesity. And further, we also tested whether the effect of selenium on diabetes was mediated through BMI. The inverse variance-weighted method was used as the main analysis to assess the effect estimates. Genetically proxied blood selenium (odds ratio [OR] 1.13, 95% confidence interval [CI] 1.10-1.16, P < .001; per standard deviation elevation of selenium level) and toenail and blood selenium (OR 1.13, 95% CI 1.06-1.19, P < .001) were both associated with increased risk of type 2 diabetes. In multivariable MR analysis, the direct effect of selenium on the risk of type 2 diabetes decreased (blood selenium: OR 1.07, 95% CI 1.04-1.10, P < .001; toenail and blood selenium: OR 1.09, 95% CI 1.05-1.14, P < .001). The diabetogenic effect of selenium was mediated through increased BMI by 25% to 50%. This MR study suggests that the genetically proxied selenium is associated with increased risk of diabetes and obesity. And the diabetogenic effect of selenium is partially mediated through increased BMI.

MedicineVol. 104(42)
China National Nuclear Corporation (CN)
Openalex Percentile: Top 11%
Selenium in Biological Systems
2.24
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Association of selenium with type 2 diabetes and obesity: A univariate and multivariate Mendelian randomization study — Lihui Cheng, Zeng Zheng, et al. · Medicine (2025) | TGRS Research Map | TGRS