SynthesisNature communications2025
Genome-wide characterization of 54 urinary metabolites reveals molecular impact of kidney function.
Synthesis in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
8 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Multi ancestry genome wide association meta analysis of urinary aMT6s levels.Scientific reports · 2026Pooled it
- Meta-analysis of urinary metabolite GWAS studies identifies novel genome-wide significant loci.Scientific reports · 2025Pooled it
- Diabetic kidney disease: integrating multi-omics insights, artificial intelligence, and novel therapeutics for precision medicine.Frontiers in genetics · 2026Review
- Ancestry-specific genetic effects on urinary 6-sulfatoxymelatonin: a multi-ancestry GWAS meta-analysis.Research square · 2025Article
- The SLC-ome of membrane transport: From molecular discovery to physiology and clinical applications.Physiological reviews · 2025Review
- Urinary lipid metabolites and progression of kidney disease in individuals with type 2 diabetes.Frontiers in endocrinology · 2025Article
- Metabolomics and lipidomics of plasma biomarkers for tuberculosis diagnostics using UHPLC-HRMS.Frontiers in cellular and infection microbiology · 2025Article
- Urinary metabolomics provide insights into coronary artery disease in individuals with type 1 diabetes.Cardiovascular diabetology · 2024Article
Corrections and comments
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Authors and funding
11 authors.
Funding
Abstract
Dissecting the genetic mechanisms underlying urinary metabolite concentrations can provide molecular insights into kidney function and open possibilities for causal assessment of urinary metabolites with risk factors and disease outcomes. Proton nuclear magnetic resonance metabolomics provides a high-throughput means for urinary metabolite profiling, as widely applied for blood biomarker studies. Here we report a genome-wide association study meta-analysed for 3 European cohorts comprising 8,011 individuals, covering both people with type 1 diabetes and general population settings. We identify 54 associations (p < 9.3 × 10
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.