ArticleFrontiers in microbiology2024
Association between gut microbiota and diabetic nephropathy: a mendelian randomization study.
Article in Frontiers in microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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Who cites it
8 citing papers in PubMed, 6 citations in OpenAlex.
- Anti-diabetic retinopathy molecular mechanism of Dihuang Yinzi: insights from network pharmacology, metabolomics, and microbiome analysis.Frontiers in medicine · 2026Article
- Characteristic dysbiosis in patients with type 2 diabetes and hyperuricemia, and the effect of empagliflozin on gut microbiota.World journal of diabetes · 2025Article
- Gut Microbiota and Their Metabolites: The Hidden Driver of Diabetic Nephropathy? Unveiling Gut Microbe's Role in DN.Journal of diabetes · 2025Review
- Investigating the role of gut microbiota in diabetic nephropathy through plasma proteome mediated analysis.Scientific reports · 2025Article
- Alginate oligosaccharides alleviates gestational diabetes mellitus through reducing oxidative stress and improving gut microbiota.CytoJournal · 2025Article
- Tirzepatide modulates gut microbiota homeostasis to protect against diabetic kidney disease.Frontiers in molecular biosciences · 2025Article
- Gut microbiota dysbiosis in diabetic nephropathy: mechanisms and therapeutic targeting via the gut-kidney axis.Frontiers in endocrinology · 2025Review
- The role of probiotics on microvascular complications of type-2 diabetes: Nephropathy and retinopathy.Journal of cardiovascular and thoracic research · 2024Review
Corrections and comments
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Authors and funding
4 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: The correlation between diabetic nephropathy (DN) and gut microbiota (GM) has been suggested in numerous animal experiments and cross-sectional studies. However, a causal association between GM and DN has not been ascertained. Methods: This research adopted MR analysis to evaluate the causal link between GM and DN derived from data acquired through publicly available genome-wide association studies (GWAS). The study utilized the inverse variance weighted (IVW) approach to assess causal association between GM and DN. Four additional methods including MR-Egger, weighted median, weighted mode, and simple mode were employed to ensure comprehensive analysis and robust results. The Cochran's Q test and the MR-Egger method were conducted to identify heterogeneity and horizontal pleiotropy, respectively. The leave-one-out approach was utilized to evaluate the stability of MR results. Finally, a reverse MR was performed to identify the reverse causal association between GM and DN. Results: According to IVW analysis, Class Verrucomicrobiae ( Conclusion: This study identified the causal association between GM and DN with MR analysis, which may enhance the understanding of the intestinal-renal axis and provide novel potential targets for early non-invasive diagnosis and treatment of DN.
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Registered trials
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