ArticleFrontiers in cellular and infection microbiology2023
Causal effects of gut microbiota on the risk of chronic kidney disease: a Mendelian randomization study.
Article in Frontiers in cellular and infection microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.
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Who cites it
38 citing papers in PubMed, 61 citations in OpenAlex.
- Gut microbiota biomarkers of chronic kidney disease progression identified by 16S rDNA sequencing and machine learning.Renal failure · 2026Article
- Gut‑liver‑kidney axis: A systems biology framework for understanding and treating chronic kidney disease (Review).International journal of molecular medicine · 2026Review
- Gut-Kidney Axis: Unraveling the Role of the Microbiome in Chronic Kidney Disease.Biomedicines · 2026Review
- Gut microbiota signatures associated with lithium treatment and clinical response in patients with bipolar disorder.Frontiers in microbiology · 2026Article
- Causal relationship between gut microbiota and adenomyosis: metagenomics sequencing and Mendelian randomization.Frontiers in cellular and infection microbiology · 2026Article
- A causal association between serum mitochondrial-related proteins and the risk of chronic kidney disease.International urology and nephrology · 2025Article
- Mendelian randomization study revealed a gut microbiota-immune system-kidney junction axis in chronic kidney disease.Scientific reports · 2025Article
- Association Between Gut Microbiota and Chronic Kidney Disease: A Two-Sample Mendelian Randomization Study in a Chinese Population.Biomedicines · 2025Article
- Association between immune cell subtypes and membranous nephropathy: A bidirectional Mendelian randomization study.Medicine · 2025Article
- Characterization of gut microbiota and metabolites in renal transplant recipients during COVID-19 and prediction of one-year allograft function.Journal of translational medicine · 2025Article
- Mendelian Randomization Studies: Opening a New Window in the Study of Metabolic Diseases and Chronic Kidney Disease.Endocrine, metabolic & immune disorders drug targets · 2025Review
- Exploring the Causal Effects of Gut Microbiota on Diabetic Nephropathy: A Two-Sample Mendelian Randomization Study.Combinatorial chemistry & high throughput screening · 2025Article
- Risk prediction for cardiovascular events and all-cause mortality in maintenance hemodialysis patients.Frontiers in medicine · 2025Article
- Causal role of the pyrimidine deoxyribonucleoside degradation superpathway mediation in Guillain-Barré Syndrome via the HVEM on CD4 + and CD8 + T cells.Scientific reports · 2024Article
- Causal Relationship Between Sjögren's Syndrome and Gut Microbiota: A Two-Sample Mendelian Randomization Study.Biomedicines · 2024Article
- Article
- Integration of Urinary Peptidome and Fecal Microbiome to Explore Patient Clustering in Chronic Kidney Disease.Proteomes · 2024Article
- Lanthanum hydroxide protects kidney through gut microbiota in a rat model of chronic kidney disease.Pharmacology research & perspectives · 2024Article
- Article
- Causal association of gut microbiota on spondyloarthritis and its subtypes: a Mendelian randomization analysis.Frontiers in immunology · 2024Article
Corrections and comments
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Authors and funding
8 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Previous studies have reported that gut microbiota is associated with an increased risk of chronic kidney disease (CKD) progression. However, whether gut microbiota has a causal effect on the development of CKD has not been revealed. Thus, we aimed to analyze the potential causal effect of gut microbiota on the risk of CKD using mendelian randomization (MR) study. Materials and Methods: Independent single nucleotide polymorphisms closely associated with 196 gut bacterial taxa (N = 18340) were identified as instrumental variables. Two-sample MR was performed to evaluate the causal effect of gut microbiota on CKD (N = 480698), including inverse-variance-weighted (IVW) method, weighted median method, MR-Egger, mode-based estimation and MR-PRESSO. The robustness of the estimation was tested by a series of sensitivity analyses including Cochran's Q test, MR-Egger intercept analysis, leave-one-out analysis and funnel plot. Statistical powers were also calculated. Results: The genetically predicted higher abundance of order Conclusion: We found that
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