ArticleScientific reports2025
Mendelian randomization study revealed a gut microbiota-immune system-kidney junction axis in chronic kidney disease.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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The trial behind it
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Who cites it
6 citing papers in PubMed.
- Gut‑liver‑kidney axis: A systems biology framework for understanding and treating chronic kidney disease (Review).International journal of molecular medicine · 2026Review
- SIRT3 deficiency aggravates renal injury and fibrosis in chronic kidney disease and is associated with intestinal barrier dysfunction and gut microbiota dysbiosis.Frontiers in microbiology · 2026Article
- RecombinantFrontiers in immunology · 2026Article
- Integrative multi-omics analysis identifies microbial dysbiosis and functional metabolic reprogramming in acute kidney injury.Frontiers in medicine · 2026Article
- Characterization of gut microbiota in patients with diabetic kidney disease.Frontiers in cellular and infection microbiology · 2026Article
- Review
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
The alterations of the gut microbiome and cytokine profiles and an elevated risk has correlated with kidney disease progression. However, the causal relationship between gut microbiota and chronic kidney disease (CKD) or related kidney function, and whether cytokines and immune cells act as mediators, remains unclear. Using genome-wide association studies (GWAS) data for CKD, estimated glomerular filtration rate (eGFR) and UACR (urinary albumin to creatinine) from the CKDGen consortium, microbiome data from the MiBioGen consortium and the Dutch Microbiome Project (DMP), 41 cytokine and 731 immune cell traits were identified from large-scale GWAS summary data. We performed two-sample Mendelian randomization (MR) analysis to analyses the causal relationships between gut microbiome, circulating cytokines, immune cells and CKD, eGFR and UACR. In addition, we investigated whether cytokines and immune cells are the mediating factor in the pathway from gut microbiome to CKD, eGFR and UACR. We demonstrated the causal relationships between 8 gut microbiotas in MiBioGen and 8 gut microbiota and 6 metabolism pathways in DMP with CKD, 7 gut microbiotas in MiBioGen and 7 gut microbiota and 3 metabolism pathways with eGFR and 4 gut microbiotas in MiBioGen and 10 gut microbiota and 3 metabolism pathways in DMP with UACR. Additionally, we identified 25 cytokine and immune cell characteristics associated with CKD, 18 with eGFR and 22 with UACR. Importantly, we identified no cytokine, but several immune cell properties that mediate the effects of microbiome on CKD, eGFR and UACR through mediation MR analysis. For instance, Alistipes indistinctus and Alistipes putredinis affects CKD via CD28 + CD45RA + CD8 + T cell. The mediation effects highlighted the intricate relationship between gut microbiome exposure, immune cell activity, and their combined influence on CKD. This data supports a causal effect of the gut microbiome on CKD, eGFR and UACR and underscores the value of MR in clarifying causal relationships identified in microbiome-wide association studies. Circulating immune cells may act as mediators in the pathway linking gut microbiota to CKD progression.
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