SynthesisRenal failure2024
Association between the gut microbiota and diabetic nephropathy: a two-sample Mendelian randomization study.
Synthesis in Renal failure, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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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.
The trial behind it
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Who cites it
7 citing papers in PubMed.
- A practical guide for nephrologist peer reviewers: understanding and appraising Mendelian randomization studies.Renal failure · 2025Article
- Gut microbiota implication in diabetic kidney disease: mechanisms and novel therapeutic strategies.Renal failure · 2025Review
- Inflammation in Diabetic Kidney Disease Is Linked to Gut Dysbiosis and Metabolite Imbalance.Journal of diabetes · 2025Article
- Gut Microbiota Influences Meningioma Pathogenesis via Circulating Metabolites: A Two-Sample Mendelian Randomization Study.Brain and behavior · 2025Article
- Metagenomic profiling of gut microbime: associating their role with the advancement of diabetic nephropathy.Antonie van Leeuwenhoek · 2025Review
- Causal relationship between 731 immune cells and the risk of diabetic nephropathy: a two‑sample bidirectional Mendelian randomization study.Renal failure · 2024Article
- Genetically Predicted Causal Relationship between Gut Microbiota and Various Kidney Diseases.Kidney diseases (Basel, Switzerland)Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Numerous studies have revealed a correlation between the risk of developing diabetic nephropathy (DN) and the gut microbiota (GM) composition. However, it remains uncertain whether the GM composition causes DN. We aimed to explore any potential causal links between the GM composition and the risk of developing DN. A meta-analysis conducted by the MiBioGen consortium of the largest genome-wide association study (GWAS) provided aggregated data on the GM. DN data were obtained from the IEU database. The inverse-variance weighting (IVW) method was employed as the primary analytical approach. The IVW analysis indicated that genus
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Registered trials
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