ArticleJournal of the American Society of Nephrology : JASN2007
Urine biomarkers predict the cause of glomerular disease.
Article in Journal of the American Society of Nephrology : JASN, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 87 papers, 2 of them syntheses that pooled it.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
87 citing papers in PubMed, 2 syntheses or guidelines pooled it, 221 citations in OpenAlex.
- [Early detection by urinary proteome analysis : A new concept in patient management of diabetic nephropathy].Der Internist · 2020Pooled it
- Biomarkers of systemic lupus erythematosus identified using mass spectrometry-based proteomics: a systematic review.Journal of cellular and molecular medicine · 2017Pooled it
- Strategy and rationale for urine collection protocols employed in the NEPTUNE study.BMC nephrology · 2015Trial
- Multicentre prospective validation of a urinary peptidome-based classifier for the diagnosis of type 2 diabetic nephropathy.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2014Trial
- Bibliometrics and visualization analysis: Big data research on diabetic kidney disease from 2000 to 2025.Medicine · 2026Article
- Urinary acetylated protein as a biomarker of lupus nephritis: a prospective cohort study.Arthritis research & therapy · 2025Article
- Effect of Ultrasound-Guided Renal Biopsies on Urinary N-Acetyl-Beta-D-Glucosaminidase Index Activity in Dogs with Diffuse Parenchymal Nephropathies.Life (Basel, Switzerland) · 2024Article
- Keratin Expression in Podocytopathies, ANCA-Associated Vasculitis and IgA Nephropathy.International journal of molecular sciences · 2024Article
- Multiplexed MRM-based proteomics for identification of circulating proteins as biomarkers of cardiovascular damage progression associated with diabetes mellitus.Cardiovascular diabetology · 2024Article
- The role of online hemodiafiltration with endogenous reinfusion in the treatment of systemic lupus erythematosus activity resistant to conventional therapy.Frontiers in nephrology · 2024Article
- Urinary orosomucoid and retinol binding protein levels as early diagnostic markers for diabetic kidney Disease.BMC nephrology · 2023Article
- AZGP1 as a potential biomarker of IgA vasculitis with nephritis in a children‑based urinary proteomics study by diaPASEF.Molecular medicine reports · 2023Article
- Analysis of urine Raman spectra differences from patients with diabetes mellitus and renal pathologies.PeerJ · 2023Article
- The association of urinary plasmin level with renal involvement and disease flare among systemic lupus erythematosus patients.Archives of rheumatology · 2022Article
- Urinary Peptides as Potential Non-Invasive Biomarkers for Lupus Nephritis: Results of the Peptidu-LUP Study.Journal of clinical medicine · 2021Article
- Challenges in primary focal segmental glomerulosclerosis diagnosis: from the diagnostic algorithm to novel biomarkers.Clinical kidney journal · 2021Review
- Proteomics-Based Machine Learning Approach as an Alternative to Conventional Biomarkers for Differential Diagnosis of Chronic Kidney Diseases.International journal of molecular sciences · 2020Article
- Role of Serum and Urine Biomarkers (PLABiomolecules · 2020Article
- Urinary cell-free mitochondrial and nuclear deoxyribonucleic acid correlates with the prognosis of chronic kidney diseases.BMC nephrology · 2019Article
- Proteomic profiling of urine: implications for lupus nephritis.Expert review of proteomics · 2019Review
27 more citing papers are in PubMed but not listed here.
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
Abstract
Diagnosis of the type of glomerular disease that causes the nephrotic syndrome is necessary for appropriate treatment and typically requires a renal biopsy. The goal of this study was to identify candidate protein biomarkers to diagnose glomerular diseases. Proteomic methods and informatic analysis were used to identify patterns of urine proteins that are characteristic of the diseases. Urine proteins were separated by two-dimensional electrophoresis in 32 patients with FSGS, lupus nephritis, membranous nephropathy, or diabetic nephropathy. Protein abundances from 16 patients were used to train an artificial neural network to create a prediction algorithm. The remaining 16 patients were used as an external validation set to test the accuracy of the prediction algorithm. In the validation set, the model predicted the presence of the diseases with sensitivities between 75 and 86% and specificities from 92 to 67%. The probability of obtaining these results in the novel set by chance is 5 x 10(-8). Twenty-one gel spots were most important for the differentiation of the diseases. The spots were cut from the gel, and 20 were identified by mass spectrometry as charge forms of 11 plasma proteins: Orosomucoid, transferrin, alpha-1 microglobulin, zinc alpha-2 glycoprotein, alpha-1 antitrypsin, complement factor B, haptoglobin, transthyretin, plasma retinol binding protein, albumin, and hemopexin. These data show that diseases that cause nephrotic syndrome change glomerular protein permeability in characteristic patterns. The fingerprint of urine protein charge forms identifies the glomerular disease. The identified proteins are candidate biomarkers that can be tested in assays that are more amenable to clinical testing.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.