ArticleScience China. Life sciences2023
In-depth urinary and exosome proteome profiling analysis identifies novel biomarkers for diabetic kidney disease.
Article in Science China. Life sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
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Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.
- Association and predictive value of the visceral adiposity index in diabetic kidney disease: a systematic review and meta-analysis.Frontiers in endocrinology · 2026Pooled it
- Identification of diagnostic markers for diabetic kidney disease by weighted gene co‑expression network analysis and machine learning.International journal of molecular medicine · 2026Article
- MYO1C is a urinary extracellular vesicle biomarker and mediator of podocyte injury in diabetic nephropathy.JCI insight · 2026Article
- Feasibility of Integrating Urinary Proteomics and Machine Learning for Diagnosing Diabetic Nephropathy.Journal of proteome research · 2026Article
- Extracellular vesicles originating from induced pluripotent stem cell-derived chondrocytes facilitate the regeneration of osteoarthritic cartilage.Journal of orthopaedic translation · 2026Article
- Advances in the Identification of Novel Urinary Biomarkers for Diabetic Kidney Disease.Journal of diabetes research · 2026Review
- Development of an explainable machine learning model for predicting the occurrence of advanced diabetic kidney disease.Frontiers in endocrinology · 2026Article
- Role of exosomes in pathogenesis, diagnosis, and treatment of diabetic nephropathy.BMC nephrology · 2025Review
- Emerging roles of exosomes in the diagnosis and treatment of kidney diseases.Frontiers in pharmacology · 2025Review
- Single-cell omics: experimental workflow, data analyses and applications.Science China. Life sciences · 2025Review
- Research progress on small extracellular vesicles in diabetic nephropathy.Frontiers in cell and developmental biology · 2025Review
- Decoding Kidney Pathophysiology: Omics-Driven Approaches in Precision Medicine.Journal of personalized medicine · 2024Review
- Aggregation-Induced Emission Luminogen: Role in Biopsy for Precision Medicine.Chemical reviews · 2024Review
- The role of intercellular communication in diabetic nephropathy.Frontiers in immunology · 2024Review
- Extracellular vesicles in chronic kidney disease: diagnostic and therapeutic roles.Frontiers in pharmacology · 2024Review
- Genetic dissection of grain morphology and yield components in a wheat line with defective grain filling.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023Article
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Authors and funding
6 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Diabetic kidney disease (DKD) is a major microvascular complication of type 2 diabetes mellitus (T2DM). Monitoring the early diagnostic period and disease progression plays a crucial role in treating DKD. In this study, to comprehensively elucidate the molecular characteristics of urinary proteins and urinary exosome proteins in type 2 DKD, we performed large-scale urinary proteomics (n=144) and urinary exosome proteomics (n=44) analyses on T2DM patients with albuminuria in varying degrees. The dynamics analysis of the urinary and exosome proteomes in our study provides a valuable resource for discovering potential urinary biomarkers in patients with DKD. A series of potential biomarkers, such as SERPINA1 and transferrin (TF), were detected and validated to be used for DKD diagnosis or disease monitoring. The results of our study comprehensively elucidated the changes in the urinary proteome and revealed several potential biomarkers reflecting the progression of DKD, which provide a reference for DKD biomarker screening.
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