ArticleJournal of immunology research2022
Identification of Metabolite Markers Associated with Kidney Function.
Article in Journal of immunology research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- Evaluation of equation as a classifier for kidney function in domestic cats: a proof-of-concept study.npj aging · 2026Article
- Vegetarian Dietary Patterns and Diet-Related Metabolites Are Associated With Kidney Function in the Adventist Health Study-2 Cohort.Journal of renal nutrition : the official journal of the Council on Renal Nutrition of the National Kidney Foundation · 2026Article
- Article
- Metabolomics and Precision Medicine in Resistant Hypertension: Pathophysiological Insights, Biomarker Discovery, and Translational Strategies.International journal of hypertension · 2026Review
- Genetic architecture and analysis practices of circulating metabolites in the NHLBI Trans-Omics for Precision Medicine Program.American journal of human genetics · 2025Article
- N-lactoyl amino acids are potential biomarkers for insulin resistance and diabetic complications.Diabetes, obesity & metabolism · 2025Article
- Associations between circulating metabolites and pca: a bidirectional two-sample Mendelian randomization study.Discover oncology · 2025Article
- Metabolomics for the Identification of Biomarkers in Kidney Diseases.Nanotheranostics · 2025Review
- Metabolomics-Based Machine Learning for Predicting Mortality: Unveiling Multisystem Impacts on Health.International journal of molecular sciences · 2024Article
- Novel Metabolites Associated with Decreased GFR in Finnish Men: A 12-Year Follow-Up of the METSIM Cohort.International journal of molecular sciences · 2024Article
- Olaris Global Panel (OGP): A Highly Accurate and Reproducible Triple Quadrupole Mass Spectrometry-Based Metabolomics Method for Clinical Biomarker Discovery.Metabolites · 2024Article
- Metabolomic profiling reveals key metabolites associated with hypertension progression.Frontiers in cardiovascular medicine · 2024Article
- Currently Used Methods to Evaluate the Efficacy of Therapeutic Drugs and Kidney Safety.Biomolecules · 2023Review
- Metabolomic epidemiology offers insights into disease aetiology.Nature metabolism · 2023Review
- A Metabolomics study of metabolites associated with the glomerular filtration rate.BMC nephrology · 2023Article
- Article
- Small molecule metabolites: discovery of biomarkers and therapeutic targets.Signal transduction and targeted therapy · 2023Review
- Metabolic profiling identifies the significance of caffeine metabolism in CKD.Frontiers in bioengineering and biotechnology · 2023Article
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Chronic kidney disease (CKD) is a global public health problem. Identifying new biomarkers that can be used to calculate the glomerular filtration rate (GFR) would greatly improve the diagnosis and understanding of CKD at the molecular level. A metabolomics study of blood samples derived from patients with widely divergent glomerular filtration rates could potentially discover small molecule metabolites associated with varying kidney function. Methods: Using ultrahigh-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS), serum was analyzed from 53 participants with a spectrum of measured GFR (by iohexol plasma clearance) ranging from normal to severe renal insufficiency. An untargeted metabolomics assay (N ¼ 214) was conducted at the Calibra-Metabolon Joint Laboratory. Results: From a large number of metabolomics-derived metabolites, the top 30 metabolites correlated to increasing renal insufficiency according to mGFR were selected by the random forest method. Significant differences in metabolite profiles with increasing stages of CKD were observed. Combining candidate lists from six other unique statistical analyses, six novel, potential metabolites that were reproducibly strongly associated with mGFR were selected, including erythronate, gulonate, C-glycosyltryptophan, N-acetylserine, N6-carbamoylthreonyladenosine, and pseudouridine. In addition, hydroxyasparagine were strongly associated with mGFR and CKD, which were unique to this study. Conclusions: Global metabolite profiling of serum yielded potentially valuable biomarkers of different stages of CKD. Additionally, these potential biomarkers might provide insight into the underlying pathophysiologic processes that contribute to the progression of CKD as well as improve GFR estimation.
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