ArticleDiabetes care2012
Novel urinary protein biomarkers predicting the development of microalbuminuria and renal function decline in type 1 diabetes.
Article in Diabetes care, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.
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Who cites it
34 citing papers in PubMed, 60 citations in OpenAlex.
- Trial
- A Five-Plasma Protein-Based Algorithm for Predicting Incident CKD in Type 2 Diabetes.Journal of the American Society of Nephrology : JASN · 2026Article
- The Course of Progranulin Levels at Admission and During Early Period of Insulin Treatment in Children with Newly Diagnosed Type 1 Diabetes MellitusJournal of clinical research in pediatric endocrinology · 2026Article
- Hemoglobin-associatedFrontiers in medicine · 2025Article
- Elucidating the function of clusterin in the progression of diabetic kidney disease.Frontiers in pharmacology · 2025Review
- Urinary SPP1 has potential as a non-invasive diagnostic marker for focal segmental glomerulosclerosis.FEBS open bio · 2023Article
- Novel biomarkers for diabetic kidney disease.Kidney research and clinical practice · 2022Article
- The Most Promising Biomarkers of Allogeneic Kidney Transplant Rejection.Journal of immunology research · 2022Review
- Urinary complement proteins and risk of end-stage renal disease: quantitative urinary proteomics in patients with type 2 diabetes and biopsy-proven diabetic nephropathy.Journal of endocrinological investigation · 2021Article
- Development of Biomarkers and Molecular Therapy Based on Inflammatory Genes in Diabetic Nephropathy.International journal of molecular sciences · 2021Review
- Serum Progranulin As a Risk Predictor in Patients with Acute Myocardial Infarction.Medical science monitor : international medical journal of experimental and clinical research · 2021Article
- The Use of 'Omics for Diagnosing and Predicting Progression of Chronic Kidney Disease: A Scoping Review.Frontiers in genetics · 2021Article
- Protective factors as biomarkers and targets for prevention and treatment of diabetic nephropathy: From current human evidence to future possibilities.Journal of diabetes investigation · 2020Review
- A Targeted Multiomics Approach to Identify Biomarkers Associated with Rapid eGFR Decline in Type 1 Diabetes.American journal of nephrology · 2020Observational
- Autophagy and mTOR Pathways Mediate the Potential Renoprotective Effects of Vitamin D on Diabetic Nephropathy.International journal of nephrology · 2020Article
- Uromodulin in mineral metabolism.Current opinion in nephrology and hypertension · 2019Review
- Potential value of serum Progranulin as a biomarker for the presence and severity of micro vascular complications among Egyptian patients with type 2 diabetes mellitus.Journal of diabetes and metabolic disorders · 2019Article
- Biomarkers of diabetic kidney disease.Diabetologia · 2018Review
- Effect of UMOD genotype on long-term graft survival after kidney transplantation in patients treated with cyclosporine-based therapy.The pharmacogenomics journal · 2018Article
- Preoperative levels of urinary uromodulin predict acute kidney injury after pediatric cardiopulmonary bypass surgery.Pediatric nephrology (Berlin, Germany) · 2018Article
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
Abstract
objectiveTo define a panel of novel protein biomarkers of renal disease. RESEARCH DESIGN AND
methodsAdults with type 1 diabetes in the Coronary Artery Calcification in Type 1 Diabetes study who were initially free of renal complications (n = 465) were followed for development of micro- or macroalbuminuria (MA) and early renal function decline (ERFD, annual decline in estimated glomerular filtration rate of ≥3.3%). The label-free proteomic discovery phase was conducted in 13 patients who progressed to MA by the 6-year visit and 11 control subjects, and four proteins (Tamm-Horsfall glycoprotein, α-1 acid glycoprotein, clusterin, and progranulin) identified in the discovery phase were measured by enzyme-linked immunosorbent assay in 74 subjects: group A, normal renal function (n = 35); group B, ERFD without MA (n = 15); group C, MA without ERFD (n = 16); and group D, both ERFD and MA (n = 8).
resultsIn the label-free analysis, a model of progression to MA was built using 252 peptides, yielding an area under the curve (AUC) of 84.7 ± 5.3%. In the validation study, ordinal logistic regression was used to predict development of ERFD, MA, or both. A panel including Tamm-Horsfall glycoprotein (odds ratio 2.9, 95% CI 1.3-6.2, P = 0.008), progranulin (1.9, 0.8-4.5, P = 0.16), clusterin (0.6, 0.3-1.1, P = 0.09), and α-1 acid glycoprotein (1.6, 0.7-3.7, P = 0.27) improved the AUC from 0.841 to 0.889.
conclusionsA panel of four novel protein biomarkers predicted early renal damage in type 1 diabetes. These findings require further validation in other populations for prediction of renal complications and treatment monitoring.
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