ArticleDiabetology & metabolic syndrome2024
Causal effect of gut microbiota and diabetic nephropathy: a Mendelian randomization study.
Article in Diabetology & metabolic syndrome, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.
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Who cites it
6 citing papers in PubMed, 2 syntheses or guidelines pooled it, 6 citations in OpenAlex.
- The gut-eye axis: microbiota and their role in diabetic retinopathy: a systematic review and meta-analysis.BMC ophthalmology · 2026Pooled it
- Towards Microbiota-Targeted Interventions in Acute Pancreatitis: Evidence From Meta-Analysis and Mendelian Randomization.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2025Pooled it
- Metagenomic profiling of gut microbime: associating their role with the advancement of diabetic nephropathy.Antonie van Leeuwenhoek · 2025Review
- Characteristic dysbiosis in patients with type 2 diabetes and hyperuricemia, and the effect of empagliflozin on gut microbiota.World journal of diabetes · 2025Article
- The Impact of Gut Microbiota on Chronic Obstructive Pulmonary Disease: A Dual-Sample Mendelian Randomization Study.International journal of chronic obstructive pulmonary disease · 2025Article
- Impact of gut microbiota on metabolic syndrome and its comprising traits: a two-sample mendelian randomization study.Diabetology & metabolic syndrome · 2024Article
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Authors and funding
4 authors at 1 institution in 1 country.
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Abstract
backgroundThe interaction of dysbiosis of gut microbiota (GM) with diabetic nephropathy (DN) drew our attention and a better understanding of GM on DN might provide potential therapeutic approaches. However, the exact causal effect of GM on DN remains unknown.
methodsWe applied two-sample Mendelian Randomization (MR) analysis, including inverse variance weighted (IVW), MR-Egger methods, etc., to screen the significant bacterial taxa based on the GWAS data. Sensitivity analysis was conducted to assess the robustness of MR results. To identify the most critical factor on DN, Mendelian randomization-Bayesian model averaging (MR-BMA) method was utilized. Then, whether the reverse causality existed was verified by reverse MR analysis. Finally, transcriptome MR analysis was performed to investigate the possible mechanism of GM on DN.
resultsAt locus-wide significance levels, the results of IVW suggested that order Bacteroidales (odds ratio (OR) = 1.412, 95% confidence interval (CI): 1.025-1.945, P = 0.035), genus Akkermansia (OR = 1.449, 95% CI: 1.120-1.875, P = 0.005), genus Coprococcus 1 (OR = 1.328, 95% CI: 1.066-1.793, P = 0.015), genus Marvinbryantia (OR = 1.353, 95% CI: 1.037-1.777, P = 0.030) and genus Parasutterella (OR = 1.276, 95% CI: 1.022-1.593, P = 0.032) were risk factors for DN. Reversely, genus Eubacterium ventriosum (OR = 0.756, 95% CI: 0.594-0.963, P = 0.023), genus Ruminococcus gauvreauii (OR = 0.663, 95% CI: 0.506-0.870, P = 0.003) and genus Erysipelotrichaceae (UCG003) (OR = 0.801, 95% CI: 0.644-0.997, P = 0.047) were negatively associated with the risk of DN. Among these taxa, genus Ruminococcus gauvreauii played a crucial role in DN. No significant heterogeneity or pleiotropy in the MR result was found. Mapped genes (FDR < 0.05) related to GM had causal effects on DN, while FCGR2B and VNN2 might be potential therapeutic targets.
conclusionsThis work provided new evidence for the causal effect of GM on DN occurrence and potential biomarkers for DN. The significant bacterial taxa in our study provided new insights for the 'gut-kidney' axis, as well as unconventional prevention and treatment strategies for DN.
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