ArticleBMC medical genomics2024
Blood metabolites and chronic kidney disease: a Mendelian randomization study.
Article in BMC medical genomics, 2024. 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
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed.
- Alterations of Plasma Metabolites Associated with Sickle Cell Trait.Clinical journal of the American Society of Nephrology : CJASN · 2026Article
- Morphological and Biochemical Insights Into the Renoprotective Effects of Combined N-Acetylcysteine and Glycine Treatment in Experimental Diabetic Nephropathy.Pharmacology research & perspectives · 2026Article
- Causal role of serum metabolites in chronic periodontitis: A bidirectional Mendelian randomization and multi-omics integration study.Medicine · 2026Article
- A systematic review and meta-analysis and mendelian randomization analysis of serum phosphorus, albumin, and CRP as risk factors for death in hemodialysis patients.Journal of medical biochemistry · 2026Article
- Prognostic Value of a Composite Inflammation-Renal Function Score in Type A Aortic Dissection.Journal of cardiovascular development and disease · 2026Article
- Identifying the Ratio of Circulating Cinnamoylglycine to Isoleucine as a Biomarker Linking Diet Quality, Microbial Metabolism, and Type 2 Diabetes Risk in the Coronary Artery Risk Development in Young Adults (CARDIA) Cohorts.The Journal of nutrition · 2026Article
- Bidirectional Mendelian Randomization and Multi-Omics Uncover Causal Serum Metabolites and Neuro-Related Mechanistic Pathways in Acute Myeloid Leukemia.International journal of molecular sciences · 2025Article
- Adipokines and Vascular Modulators in CKM: Emerging Biomarkers as Diagnostic and Therapeutic Targets.International journal of molecular sciences · 2025Review
- Plasma Glutaminyl-Peptide Cyclotransferase Mediates Glucosamine-Metabolism-Driven Protection Against Hypertension: A Mendelian Randomization Study.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
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundHuman blood metabolites have demonstrated close associations with chronic kidney disease (CKD) in observational studies. Nonetheless, the causal relationship between metabolites and CKD is still unclear. This study aimed to assess the associations between metabolites and CKD risk.
methodsWe applied a two-sample Mendelian randomization (MR) analysis to evaluate relationships between 1400 blood metabolites and eight phenotypes (outcomes) (CKD, estimated glomerular filtration rate(eGFR), urine albumin to creatinine ratio, rapid progress to CKD, rapid decline of eGFR, membranous nephropathy, immunoglobulin A nephropathy, and diabetic nephropathy). The inverse variance weighted (IVW), MR-Egger, and weighted median were used to investigate the causal relationship. Sensitivity analyses were performed with Cochran's Q, MR-Egger intercept, MR-PRESSO Global test, and leave-one-out analysis. Bonferroni correction was used to test the strength of the causal relationship.
resultsThrough the MR analysis of 1400 metabolites and eight clinical phenotypes, a total of 48 metabolites were found to be associated with various outcomes. Among them, N-acetylleucine (OR = 0.923, 95%CI: 0.89-0.957, P
conclusionOur study offers groundbreaking insights into the integration of metabolomics and genomics to reveal the pathogenesis of and therapeutic strategies for CKD. It underscores 48 metabolites as potential causal candidates, meriting further investigation.
Indexed as
Identifiers
What Socratic holds
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 Socratic graph.