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

Current pharmaceutical design - 1 Jan 2026

Song Siyuan, Yu Jiangyi

Abstract excerpt

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. METHODS: 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...

Topics

Humans
Mendelian Randomization Analysis
Diabetic Nephropathies
Biomarkers
Polymorphism, Single Nucleotide
Risk Factors

Source

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Identifiers

PMID: 40357787
DOI: 10.2174/0113816128377862250429045226
PMCID: PMC12715391

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 31 Aug 2026.

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