ArticleFrontiers in endocrinology2026
Integration of digital physicalomics and dual-fluid metabolomics flux ratios reveals tubular secretory dysfunction in early diabetic kidney disease.
Article in Frontiers in endocrinology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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1 citing paper in PubMed.
- The translational potential of m6A RNA methylation in DKD: emerging biomarkers for early detection and targeted therapies.Frontiers in medicine · 2026Review
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8 authors.
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Abstract
Background: Current screening for diabetic kidney disease (DKD) relies on the estimated glomerular filtration rate (eGFR) and albuminuria, which often fail to detect early tubular dysfunction and non-albuminuric phenotypes. The integration of macroscopic urine physical characteristics with metabolic signatures may offer a novel approach to precision stratification. Methods: We conducted a multicenter, prospective-retrospective cohort study involving 364 participants with type 2 diabetes. We developed "FluxPro-DKD fusion model," that integrates "Digital Physicalomics" (computer-vision quantification of urine foam stability and chromaticity) and "Dual-Fluid Metabolomics" (serum-to-urine flux ratios). The model was trained in a discovery cohort ( Results: Metabolic profiling identified a distinct "serum-to-urine flux mismatch" of protein-bound uremic toxins (e.g., indoxyl sulfate), suggesting tubular secretory failure prior to glomerular damage. Digital physicalomics revealed that urine foam half-life was correlated with albuminuria ( Conclusions: The integration of digital urine physical phenotypes and metabolic flux ratios effectively reveals early tubular secretory dysfunction and improved risk stratification for diabetic kidney disease compared with standard clinical metrics.
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