ArticleKidney international reports2025
Single-Cell Profiling of Tubular Epithelial Cells in Adaptive State in the Urine Sediment of Patients With Early and Advanced Diabetic Kidney Disease.
Article in Kidney international reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- ITGB2 promotes HIF-1α/GLUT1 mediated glucose metabolic reprogramming in renal tubular epithelial cells to aggravate the progression of diabetic kidney disease.Cytotechnology · 2026Article
- Single-cell transcriptomic comparison of tubular segment maturation in advanced humaniScience · 2026Article
- Review
- Modulation of PKCα/ETS1 by klotho restores CYB5R4-dependent mitochondrial function in proximal tubular epithelial cells to attenuate the progression of diabetic kidney disease.Cardiovascular diabetology · 2026Article
- A non-invasive urinary diagnostic signature for diabetic kidney disease revealed by machine learning and single-cell analysis.PloS one · 2026Article
- Diabetic kidney disease: integrating multi-omics insights, artificial intelligence, and novel therapeutics for precision medicine.Frontiers in genetics · 2026Review
- Integrated single-cell transcriptomic and machine-learning analyses identify a CD36-associated macrophage state in diabetic nephropathy.Frontiers in immunology · 2026Article
- Multi-omics and machine learning identify FN1 and ALDH2 as diagnostic biomarkers and therapeutic targets in early and late diabetic kidney disease.Renal failure · 2025Article
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Authors and funding
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Tubular epithelial cells (TECs) under adaptive state (aTECs) have been frequently reported in the injured kidney closely associated with disease progression. However, whether aTECs is present in the urine of patients with diabetic kidney disease (DKD) and its clinical implication have not been assessed. Methods: Urine samples from patients with early and advanced DKD were collected and subjected to single-cell RNA sequencing (scRNA-seq). Kidney single nucleus RNA-seq, spatial scRNA-seq, and bulk RNA-seq datasets were employed to reconstruct their local environment and to delineate differences between shed cells and local residence. Results: Most urinary TEC in patients with DKD are under adaptive states. Whereas the composition of urinary TEC is consistent in early and advanced DKD, a higher ratio of aTECs under progenitor and fibrosis state is defined in early DKD. Trajectory inference reveals that some aTECs are early derivatives of injured proximal tubule (PT). Spatial mapping reveals that proliferative and fibrosis aTECs reside close to the glomerulus region. Systemic evaluation of different states of urinary aTECs in patients of diverse-cause kidney injury suggests that the ratio of progenitor or proliferative aTECs to fibrosis aTECs is of diagnostic value. Conclusion: Urine is an underestimated source of aTECs providing us noninvasive manner to interrogate the injured state of tubule. The ratio of fibrosis aTECs and progenitor or proliferative aTECs in urine features tubular injury state and may help improve DKD diagnosis.
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