ArticleFrontiers in microbiology2026
Renal tissue microbiota and metabolite profiling reveal dysregulated signatures in diabetic kidney disease.
Article in Frontiers in microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Introduction: Diabetic kidney disease (DKD) has become the main cause of end-stage renal disease in China. Mounting evidence links microecological disorders to DKD progression. However, the composition and the functional characteristics of the renal microecology in DKD patients remain poorly defined. This study characterized renal tissue microbiota and metabolite profiles in DKD patients, aiming to provide insights for novel diagnostic strategies for DKD. Methods: Renal tissue microbiome was analyzed in 42 DKD patients and 10 controls via 16S ribosomal DNA sequencing. Renal metabolomics was performed in 20 DKD patients and 10 controls using liquid chromatography-tandem mass spectrometry (LC-MS/MS). Spearman correlation analysis clarified associations of clinical parameters with renal microbiome and metabolites. Biomarkers were identified by multi-omics integration. Results: IHC, IF and TEM reveals the presence of bacteria in both glomeruli and renal tubules. A significant separation in microbial community composition was observed between DKD patients and controls ( Conclusion: Our finding confirms the existence of microbiota within renal tissue and demonstrates that its structure and composition are significantly altered in DKD. These disruptions in renal microecology are closely associated with the progression of DKD. Multi-omics analysis further identified a panel of candidate markers for evaluation of DKDs.
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