ArticleBMC nephrology2014
Predictive urinary biomarkers for steroid-resistant and steroid-sensitive focal segmental glomerulosclerosis using high resolution mass spectrometry and multivariate statistical analysis.
Article in BMC nephrology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
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Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it, 40 citations in OpenAlex.
- The current use of proteomics and metabolomics in glomerulonephritis: a systematic literature review.Journal of nephrology · 2024Pooled it
- The Spectrum of Minimal Change Disease/Focal Segmental Glomerulosclerosis: From Pathogenesis to Proteomic Biomarker Research.International journal of molecular sciences · 2025Review
- Immunoglobulin heavy constant gamma 1 silencing decreases tonicity-responsive enhancer-binding protein expression to alleviate diabetic nephropathy.Journal of diabetes investigation · 2024Article
- Non-Invasive Biomarkers for Diagnosis, Risk Prediction, and Therapy Guidance of Glomerular Kidney Diseases: A Comprehensive Review.International journal of molecular sciences · 2024Review
- Machine learning models for predicting steroid-resistant of nephrotic syndrome.Frontiers in immunology · 2023Article
- Comparative proteomic analysis of children FSGS FFPE tissues.BMC pediatrics · 2022Article
- Potential Urine Proteomic Biomarkers for Focal Segmental Glomerulosclerosis and Minimal Change Disease.International journal of molecular sciences · 2022Article
- Molecular stratification of idiopathic nephrotic syndrome.Nature reviews. Nephrology · 2019Review
- Iran's Contribution to Human Proteomic Research.Cell journal · 2019Review
- Chronic kidney disease: a review of proteomic and metabolomic approaches to membranous glomerulonephritis, focal segmental glomerulosclerosis, and IgA nephropathy biomarkers.Proteome science · 2019Review
- Chondroitin sulfate degradation and eicosanoid metabolism pathways are impaired in focal segmental glomerulosclerosis: Experimental confirmation of anBioImpacts : BI · 2019Article
- Application of Sparse Linear Discriminant Analysis and Elastic Net for Diagnosis of IgA Nephropathy: Statistical and Biological ViewpointsIranian biomedical journal · 2018Article
- Human Urine Proteomics: Analytical Techniques and Clinical Applications in Renal Diseases.International journal of proteomics · 2015Review
- Custom 4-Plex DiLeu Isobaric Labels Enable Relative Quantification of Urinary Proteins in Men with Lower Urinary Tract Symptoms (LUTS).PloS one · 2015Article
- Syringe-push membrane absorption as a simple rapid method of urine preparation for clinical proteomics.Clinical proteomics · 2015Article
- Introducing biomarker panel in esophageal, gastric, and colon cancers; a proteomic approach.Gastroenterology and hepatology from bed to bench · 2015Review
- Urinary prognostic biomarkers in patients with focal segmental glomerulosclerosis.Nephro-urology monthly · 2014Article
Corrections and comments
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Authors and funding
7 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundFocal segmental glomerulosclerosis (FSGS) is a glomerular scarring disease diagnosed mostly by kidney biopsy. Since there is currently no diagnostic test that can accurately predict steroid responsiveness in FSGS, prediction of the responsiveness of patients to steroid therapy with noninvasive means has become a critical issue. In the present study urinary proteomics was used as a noninvasive tool to discover potential predictive biomarkers.
methodsUrinary proteome of 10 patients (n = 6 steroid-sensitive, n = 4 steroid-resistant) with biopsy proven FSGS was analyzed using nano-LC-MS/MS and supervised multivariate statistical analysis was performed.
resultsTwenty one proteins were identified as discriminating species among which apolipoprotein A-1 and Matrix-remodeling protein 8 had the most drastic fold changes being over- and underrepresented, respectively, in steroid sensitive compared to steroid resistant urine samples. Gene ontology enrichment analysis revealed acute inflammatory response as the dominant biological process.
conclusionThe obtained results suggest a panel of predictive biomarkers for FSGS. Proteins involved in the inflammatory response are shown to be implicated in the responsiveness. As a tool for biomarker discovery, urinary proteomics is especially fruitful in the area of prediction of responsiveness to drugs. Further validation of these biomarkers is however needed.
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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.