ArticleScientific reports2025
Gut microbiome and metabolite signatures for predicting acute kidney transplant rejection: a prospective study.
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.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
6 citing papers in PubMed.
- The gut microbiome and allograft outcomes: implications for heart transplantation.The Journal of clinical investigation · 2026Review
- Microbiome-Targeted Modulation in Renal Transplantation.Journal of clinical medicine · 2026Review
- Microbiota-Targeted Chitooligosaccharides Intervention Restores Glucose Homeostasis After Islet Cell Transplantation in Rapamycin-Treated Mice.Food science & nutrition · 2026Article
- Kidney Transplantation and the Gut-Kidney Axis: Microbial, Metabolic, and Nutritional Implications for Graft and Patient Outcomes.Nutrients · 2026Review
- Microbial Biomarkers for the Prevention and Diagnosis of Alcoholic Liver Disease.Microorganisms · 2026Article
- Metabolic dysregulation and antibody-mediated rejection after kidney transplantation: interacting mechanisms and emerging clinical strategies.Frontiers in immunology · 2026Review
Corrections and comments
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Authors and funding
14 authors.
Funding
Abstract
Acute rejection (AR) remains a significant challenge in kidney transplantation (KT) despite advances in immunosuppressive treatment. Recognizing the critical influence of the gut microbiome on modulating host immunity, we investigated the association between gut dysbiosis and AR in KT recipients. A total of 97 patients with KT were prospectively enrolled from two centers, and their samples were collected at multiple time points, such as pre-transplant (n = 97), three months (n = 66), and twelve months (n = 37) post-transplant. Microbial profiling was performed using 16S rRNA sequencing and fecal metabolomics was done via nuclear magnetic resonance spectroscopy. Thirty-three patients developed AR after KT, exhibiting reduced bacterial richness and diversity compared with KT recipients without AR. In addition, these patients had increased Escherichia-Shigella and decreased Phascolarctobacterium abundance. Pathway analysis identified 47 enriched pathways in AR patients, notably those involved in lipopolysaccharide biosynthesis and short-chain fatty acid metabolism. Consistent results were obtained from stool metabolomics, showing reduced propionate and lactate concentrations compared with patients without AR. Finally, combining pre-KT bacterial and fecal metabolite features with clinical parameters significantly improved AR prediction accuracy. Our results suggest that integrating clinical, microbial, and metabolomic data may provide a more holistic patient care regimen across both pre- and post-transplant phases.
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