ArticleKidney international2022
A metabolomics approach identified toxins associated with uremic symptoms in advanced chronic kidney disease.
Article in Kidney international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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Who cites it
10 citing papers in PubMed, 12 citations in OpenAlex.
- Genome-wide association studies of missing metabolite measures from two population-based studies.Genome biology · 2026Article
- Review
- Beyond Feature Selection: Interpretable Machine Learning for Mechanistic Insights in Metabolomics.Biology · 2026Review
- Pediatric and adult point of view on the gut-kidney axis in CKD.Pediatric nephrology (Berlin, Germany) · 2026Review
- A Metabolomics Approach To Identify Metabolites Associated with Uremic Symptoms in Patients Receiving Maintenance Hemodialysis.Kidney360 · 2026Article
- The Impact of Hemodiafiltration Versus Hemodialysis on Uremic Symptoms, Physical Function: A Systematic Review and Meta-analysis of Randomized Controlled Trials.Kidney medicine · 2025Article
- Article
- Gut-derived metabolites as treatment targets in chronic kidney disease-an avenue toward personalized medicine.Pediatric nephrology (Berlin, Germany) · 2025Article
- Metabolites Associated With Uremic Symptoms in Patients With CKD: Findings From the Chronic Renal Insufficiency Cohort (CRIC) Study.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2024Article
- Remote effects of kidney drug transporter OAT1 on gut microbiome composition and urate homeostasis.JCI insight · 2023Article
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Authors and funding
10 authors at 6 institutions in 1 country.
Funding
Abstract
Uremic symptoms are common in patients with advanced chronic kidney disease, but the toxins that cause these symptoms are unknown. To evaluate this, we performed a cross-sectional study of the 12 month post-randomization follow-up visit of Modification of Diet in Renal Disease (MDRD) participants reporting uremic symptoms who also had available stored serum. We quantified 1,163 metabolites by liquid chromatography-tandem mass spectrometry. For each uremic symptom, we calculated a score as the severity multiplied by the number of days the symptom was experienced. We analyzed the associations of the individual symptom scores with metabolites using linear models with empirical Bayesian inference, adjusted for multiple comparisons. Among 695 participants, the mean measured glomerular filtration rate (mGFR) was 28 mL/min/1.73 m
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Registered trials
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