Mendelian Randomization Study on Serum Metabolites and Diabetic Nephropathy Risk: Identifying Potential Biomarkers for Early Intervention.

ABSTRACT:

Objective

In this study, the causation between serum metabolites and the risk of Diabetic Nephropathy (DN) was investigated by means of a Mendelian Randomization (MR) analysis.

Method

Our data on diabetic nephropathy were obtained from the IEU OpenGWAS Project database, while serum metabolite data originated came from the GWAS summary statistics by Chen et al. The Inverse Variance Weighted (IVW) method was the main analysis approach, with Weighted Median (WME) and MREgger regression serving as supplementary approaches to construing the causalities between serum metabolites and the DN risk. In addition to the MR-Egger regression intercept, Cochran's Q test was utilized for sensitivity analysis, with P values used as the metric to assess the results.

Results

In total, 1

SUBMITTER: Song S 

PROVIDER: S-EPMC12715391 | biostudies-literature | 2025 May

REPOSITORIES: biostudies-literature