ArticleJournal of the Endocrine Society2023
Exploration of Metabolomic Markers Associated With Declining Kidney Function in People With Type 2 Diabetes Mellitus.
Article in Journal of the Endocrine Society, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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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.
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Who cites it
4 citing papers in PubMed, 3 citations in OpenAlex.
- Acylcarnitines and prediction of renal function decline in type 2 diabetes.BMJ open diabetes research & care · 2026Article
- Association of diabetic nephropathy with lipid metabolism: a Mendelian randomization study.Diabetology & metabolic syndrome · 2025Article
- Enhancing type 2 diabetes mellitus prediction by integrating metabolomics and tree-based boosting approaches.Frontiers in endocrinology · 2024Article
- Exploration of Metabolomic Markers Associated With Declining Kidney Function in People With Type 2 Diabetes Mellitus.Journal of the Endocrine Society · 2023Article
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
Background: Metabolomics, the study of small molecules in biological systems, can provide valuable insights into kidney dysfunction in people with type 2 diabetes mellitus (T2DM), but prospective studies are scarce. We investigated the association between metabolites and kidney function decline in people with T2DM. Methods: The Edinburgh Type 2 Diabetes Study, a population-based cohort of 1066 men and women aged 60 to 75 years with T2DM. We measured 149 serum metabolites at baseline and investigated individual associations with baseline estimated glomerular filtration rate (eGFR), incident chronic kidney disease [CKD; eGFR <60 mL/min/(1.73 m) Results: At baseline, mean eGFR was 77.5 mL/min/(1.73 m) Conclusion: Our study revealed widespread changes within the metabolomic profile of CKD, particularly in lipoproteins and their lipid compounds. We identified a smaller number of individual metabolites that are specifically associated with kidney function decline. Replication studies are needed to confirm the longitudinal findings and explore if metabolic signals at baseline can predict kidney decline.
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Registered trials
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