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Discovery of Urinary Biomarkers

Open access
Pisitkun, Trairak, Johnstone, Rose, Knepper, Mark A.·2006·Molecular & Cellular Proteomics

Abstract

A myriad of proteins and peptides can be identified in normal human urine. These are derived from a variety of sources including glomerular filtration of blood plasma, cell sloughing, apoptosis, proteolytic cleavage of cell surface glycosylphosphatidylinositol-linked proteins, and secretion of exosomes by epithelial cells. Mass spectrometry-based approaches to urinary protein and peptide profiling can, in principle, reveal changes in excretion rates of specific proteins/peptides that can have predictive value in the clinical arena, e.g. in the early diagnosis of disease, in classification of disease with regard to likely therapeutic responses, in assessment of prognosis, and in monitoring response to therapy. These approaches have potential value, not only in diseases of the kidney and urinary tract but also in systemic diseases that are associated with circulating small protein and peptide markers that can pass the glomerular filter. Most large scale biomarker discovery studies reported thus far have used one of two approaches to identify proteins and peptides whose excretion in urine changes in specific disease states: 1) two-dimensional electrophoresis with mass spectrometric and/or immunochemical identification of proteins and 2) top-down mass spectrometric methods (SELDI-TOF-MS and capillary electrophoresis-MS). These studies have been chiefly in the areas of nephrology, urology, and oncology. We review these applications, focusing on two areas of progress, viz. in bladder cancer and in acute rejection of renal transplants. Progress has been limited so far. However, with the advent of powerful LC-MS/MS methods along with methods for quantifying LC-MS/MS output, there is hope for an accelerated discovery and validation of disease biomarkers in urine.

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Metadata

Authors
Pisitkun, T., Johnstone, R., & Knepper, M. A.
Venue
Molecular & Cellular Proteomics
Publisher
Elsevier BV
Published
2006-10
Volume
5
Issue
10
Pages
1760-1771
ISSN
1535-9476 (ISSN-L)
OpenAlex
W2148342716
Cited by
405
References
4
FWCI
14.79
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Discovery of Urinary Biomarkers. https://app.cochat.ai/papers/10.1074/mcp.r600004-mcp200
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Pisitkun, T., Johnstone, R., & Knepper, M. A. (2006). Discovery of Urinary Biomarkers. Molecular & Cellular Proteomics. https://doi.org/10.1074/mcp.r600004-mcp200

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