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Urine Is a Better Biomarker Source Than Blood Especially for Kidney Diseases

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Urine Proteomics in Kidney Disease Biomarker Discovery

Part of the book series: Advances in Experimental Medicine and Biology ((AEMB,volume 845))

Abstract

Change is the soul of biomarker definition. Changes are more likely to be removed from blood because of homeostasis mechanisms of the body. Therefore, urine is probably a better biomarker source than blood. The road map to the urinary biomarker era is proposed. Researchers are reminded the potential opportunities and risks in their study design. Kidney diseases are emphasized as they produce most significant changes in urine.

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References

  1. Biomarkers Definitions Working Group (2001) Biomarkers and surrogate endpoints: preferred definitions and conceptual framework. Clin Pharmacol Ther 69:89–95

    Article  Google Scholar 

  2. IPCS (2001) Biomarkers in risk assessment: validity and validation environmental health criteria series 22

    Google Scholar 

  3. Wikepedia (2014, October 11) Homeostasis. Wikipedia, the free encyclopedia http://en.wikipedia.org/w/index.php?title=Homeostasis&oldid=629140917

  4. Gao Y (2013) Urine-an untapped goldmine for biomarker discovery? Sci China Life Sci 56:1145–1146

    Google Scholar 

  5. Wikipedia (2014, October 11) Biomarker (medicine). Wikipedia, the free encyclopedia http://en.wikipedia.org/w/index.php?title=Biomarker_(medicine)&oldid=622306690

  6. Bouatra S, Aziat F, Mandal R, Guo AC, Wilson MR et al (2013) The human urine metabolome. PLoS One 8:e73076

    Google Scholar 

  7. Marimuthu A, O’Meally RN, Chaerkady R, Subbannayya Y, Nanjappa V et al (2011) A comprehensive map of the human urinary proteome. J Proteome Res 10:2734–2743

    Google Scholar 

  8. Kentsis A, Monigatti F, Dorff K, Campagne F, Bachur R et al (2009) Urine proteomics for profiling of human disease using high accuracy mass spectrometry. Proteomics Clin Appl 3:1052–1061

    Google Scholar 

  9. Menglin L, Mindi Z, Youhe G (2013) Changes of proteins induced by anticoagulants can be more sensitively detected in urine than in plasma

    Google Scholar 

  10. Payne SR, Serth J, Schostak M, Kamradt J, Strauss A et al (2009) DNA methylation biomarkers of prostate cancer: confirmation of candidates and evidence urine is the most sensitive body fluid for non-invasive detection. Prostate 69:1257–1269

    Google Scholar 

  11. Wu T, Du Y, Han J, Singh S, Xie C et al (2013) Urinary angiostatin-a novel putative marker of renal pathology chronicity in lupus nephritis. Molecular & Cellular Proteomics 12:1170–1179

    Google Scholar 

  12. Huang JT, Chaudhuri R, Albarbarawi O, Barton A, Grierson C et al (2012) Clinical validity of plasma and urinary desmosine as biomarkers for chronic obstructive pulmonary disease. Thorax 67:502–508

    Google Scholar 

  13. Smith ER, Zurakowski D, Saad A, Scott RM, Moses MA (2008) Urinary biomarkers predict brain tumor presence and response to therapy. Clin Cancer Res 14:2378–2386

    Google Scholar 

  14. Shao C, Li M, Li X, Wei L, Zhu L et al (2011) A tool for biomarker discovery in the urinary proteome: a manually curated human and animal urine protein biomarker database. Mol Cell Proteomics 10:M111 010975

    Google Scholar 

  15. Jia L, Zhang L, Shao C, Song E, Sun W et al (2009) An attempt to understand kidney’s protein handling function by comparing plasma and urine proteomes. PLoS One 4:e5146

    Google Scholar 

  16. Gao Y (2014) Roadmap to the Urine Biomarker Era. MOJ Proteomics Bioinformatics 1:00005

    Google Scholar 

  17. Zhao M, Li M, Li X, Shao C, Yin J et al (2014) Dynamic changes of urinary proteins in a focal segmental glomerulosclerosis rat model. Proteome science 12:42

    Google Scholar 

  18. Jia L, Liu X, Liu L, Li M, Gao Y (2014) Urimem, a membrane that can store urinary proteins simply and economically, makes the large-scale storage of clinical samples possible. Sci China Life Sci 57:336–339

    Google Scholar 

  19. Masola V, Gambaro G, Tibaldi E, Brunati AM, Gastaldello A et al (2012) Heparanase and syndecan-1 interplay orchestrates fibroblast growth factor-2-induced epithelial-mesenchymal transition in renal tubular cells. J Biol Chem 287:1478–1488

    Google Scholar 

  20. Chen Y, Gu B, Wu S, Sun W, Ma S et al (2009) Using enrichment index for quality control of secretory protein sample and identification of secretory proteins. J Mass Spectrom 44:397–403

    Google Scholar 

  21. Nagaraj N, Mann M (2011) Quantitative analysis of the intra- and inter-individual variability of the normal urinary proteome. J Proteome Res 10:637–645

    Google Scholar 

  22. Molina L, Salvetat N, Ameur RB, Peres S, Sommerer N et al (2011) Analysis of the variability of human normal urine by 2D-GE reveals a “public” and a “private” proteome. J Proteomics 75:70–80

    Google Scholar 

  23. Gao Y (2014) Opportunities You Do Not Want to Miss and Risks You Cannot Afford to Take in Urine Biomarker Era. MOJ Proteomics Bioinformatics 1:00003

    Google Scholar 

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Correspondence to Youhe Gao .

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Gao, Y. (2015). Urine Is a Better Biomarker Source Than Blood Especially for Kidney Diseases. 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_1

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