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BMC Nephrology
Published in: BMC Nephrology 1/2014

Open Access 01-12-2014 | Research article

Predictive urinary biomarkers for steroid-resistant and steroid-sensitive focal segmental glomerulosclerosis using high resolution mass spectrometry and multivariate statistical analysis

Authors: Shiva Kalantari, Mohsen Nafar, Dorothea Rutishauser, Shiva Samavat, Mostafa Rezaei-Tavirani, Hongqian Yang, Roman A Zubarev

Published in: BMC Nephrology | Issue 1/2014

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Abstract

Background

Focal 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.

Methods

Urinary 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.

Results

Twenty 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.

Conclusion

The 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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Metadata
Title
Predictive urinary biomarkers for steroid-resistant and steroid-sensitive focal segmental glomerulosclerosis using high resolution mass spectrometry and multivariate statistical analysis
Authors
Shiva Kalantari
Mohsen Nafar
Dorothea Rutishauser
Shiva Samavat
Mostafa Rezaei-Tavirani
Hongqian Yang
Roman A Zubarev
Publication date
01-12-2014
Publisher
BioMed Central
Published in
BMC Nephrology / Issue 1/2014
Electronic ISSN: 1471-2369
DOI
https://doi.org/10.1186/1471-2369-15-141

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