Abstract
Compare to blood, which has mechanisms to maintain homeostasis, urine is more likely to reflect changes in the body. As urine accumulates all types of changes, identifying the precise cause of changes in the urine proteome is challenging and crucial in biomarker discovery. To reduce the confounding factors to minimal, some studies used animal model resembling human diseases. This chapter highlights the importance of animal models and introduces a strategic research which focused on adriamycin-induced nephropathy. In this study, urine samples were collected at before adriamycin administration and days 3, 7, 11, 15, and 23 after, urinary proteins were profiled by LC-MS/MS. Of 23 changed proteins with disease development, 13 proteins were identified as stable in normal human urine, meaning that changes in these proteins are more likely to reflect disease. We think this stage-dependent dynamic changes of urine proteome in animal models will help to support the role of urine as key source in biomarker discovery especially in kidney diseases and help to identify corresponding biomarkers for clinical validation.
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Zhao, M. (2015). Dynamic Changes of Urinary Proteins in Focal Segmental Glomerulosclerosis Model. In: Gao, Y. (eds) Urine Proteomics in Kidney Disease Biomarker Discovery. Advances in Experimental Medicine and Biology, vol 845. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-9523-4_16
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DOI: https://doi.org/10.1007/978-94-017-9523-4_16
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