Skip to main content

Dynamic Changes of Urinary Proteins in Focal Segmental Glomerulosclerosis Model

  • Chapter
  • First Online:
Urine Proteomics in Kidney Disease Biomarker Discovery

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

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

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

    Article  PubMed  Google Scholar 

  2. Decramer S, de Peredo AG, Breuil B, Mischak H, Monsarrat B et al (2008) Urine in clinical proteomics. Mol Cell Proteomics 7:1850–1862

    Article  PubMed  CAS  Google Scholar 

  3. Sharma V, Tikoo K (2014) Stage-specific quantitative changes in renal and urinary proteome during the progression and development of streptozotocin-induced diabetic nephropathy in rats. Mol Cell Biochem 388:95–111

    Article  PubMed  CAS  Google Scholar 

  4. Ngai HH, Sit WH, Jiang PP, Xu RJ, Wan JM et al (2006) Serial changes in urinary proteome profile of membranous nephropathy: implications for pathophysiology and biomarker discovery. J Proteome Res 5:3038–3047

    Google Scholar 

  5. Haynes PA, Yates JR III (2000) Proteome profiling-pitfalls and progress. Yeast 17:81–87

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  6. Shaye DD, Greenwald I (2011) OrthoList: a compendium of C. elegans genes with human orthologs. PLoS One 6:e20085

    Google Scholar 

  7. Jia L, Li X, Shao C, Wei L, Li M et al (2013) Using an isolated rat kidney model to identify kidney origin proteins in urine. PLoS One 8:e66911

    Google Scholar 

  8. 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 

  9. Saha S, Harrison SH, Shen C, Tang H, Radivojac P et al (2008) HIP2: an online database of human plasma proteins from healthy individuals. BMC Med Genomics 1:12

    Article  PubMed  PubMed Central  Google Scholar 

  10. 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 Sci 12:42

    Article  PubMed  PubMed Central  Google Scholar 

  11. 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 

  12. Li QR, Fan KX, Li RX, Dai J, Wu CC et al (2010) A comprehensive and non-prefractionation on the protein level approach for the human urinary proteome: touching phosphorylation in urine. Rapid Commun Mass Spectrom 24:823–832

    Google Scholar 

  13. Adachi J, Kumar C, Zhang Y, Olsen JV, Mann M (2006) The human urinary proteome contains more than 1500 proteins, including a large proportion of membrane proteins. Genome Biol 7:R80

    Google Scholar 

  14. Lopez-Hellin J, Cantarell C, Jimeno L, Sanchez-Fructuoso A, Puig-Gay N et al (2013) A form of apolipoprotein a-I is found specifically in relapses of focal segmental glomerulosclerosis following transplantation. Am J Transplant 13:493–500

    Google Scholar 

  15. Rao PV, Lu X, Standley M, Pattee P, Neelima G et al (2007) Proteomic identification of urinary biomarkers of diabetic nephropathy. Diabetes Care 30:629–637

    Google Scholar 

  16. Shui HA, Huang TH, Ka SM, Chen PH, Lin YF et al (2008) Urinary proteome and potential biomarkers associated with serial pathogenesis steps of focal segmental glomerulosclerosis. Nephrol Dial Transplant 23:176–185

    Google Scholar 

  17. Narita T, Sasaki H, Hosoba M, Miura T, Yoshioka N et al (2004) Parallel increase in urinary excretion rates of immunoglobulin G, ceruloplasmin, transferrin, and orosomucoid in normoalbuminuric type 2 diabetic patients. Diabetes Care 27:1176–1181

    Google Scholar 

  18. Wu DL, Zhang WH, Wang WJ, Jing SB, Xu YM (2008) Proteomic evaluation of urine from renal cell carcinoma using SELDI-TOF-MS and tree analysis pattern. Technol Cancer Res Treat 7:155–160

    Google Scholar 

  19. Wai-Hoe L, Wing-Seng L, Ismail Z, Lay-Harn G (2009) Proteomics and detection of uromodulin in first-time renal calculi patients and recurrent renal calculi patients. Appl Biochem Biotechnol 159:221–232

    Google Scholar 

  20. Kentsis A, Lin YY, Kurek K, Calicchio M, Wang YY et al (2010) Discovery and validation of urine markers of acute pediatric appendicitis using high-accuracy mass spectrometry. Ann Emerg Med 55:62–70 e64

    Google Scholar 

  21. Han WK, Alinani A, Wu CL, Michaelson D, Loda M et al (2005) Human kidney injury molecule-1 is a tissue and urinary tumor marker of renal cell carcinoma. J Am Soc Nephrol 16:1126–1134

    Google Scholar 

  22. Liangos O, Perianayagam MC, Vaidya VS, Han WK, Wald R et al (2007) Urinary N-acetyl-beta-(D)-glucosaminidase activity and kidney injury molecule-1 level are associated with adverse outcomes in acute renal failure. J Am Soc Nephrol 18:904–912

    Google Scholar 

  23. Mesrobian HG, Mitchell ME, See WA, Halligan BD, Carlson BE et al (2010) Candidate urinary biomarker discovery in ureteropelvic junction obstruction: a proteomic approach. J Urol 184:709–714

    Google Scholar 

  24. Cutillas PR, Chalkley RJ, Hansen KC, Cramer R, Norden AG et al (2004) The urinary proteome in Fanconi syndrome implies specificity in the reabsorption of proteins by renal proximal tubule cells. Am J Physiol Renal Physiol 287:F353–364

    Google Scholar 

  25. Mirkovic K, Doorenbos CR, Dam WA, Lambers Heerspink HJ, Slagman MC et al (2013) Urinary vitamin D binding protein: a potential novel marker of renal interstitial inflammation and fibrosis. PLoS One 8:e55887

    Google Scholar 

  26. Sun W, Chen Y, Li F, Zhang L, Yang R et al (2009) Dynamic urinary proteomic analysis reveals stable proteins to be potential biomarkers. Proteomics—Clinical Applications 3:370–382

    Google Scholar 

  27. Nagaraj N, Mann M (2011) Quantitative Analysis of the Intra- and Inter-Individual Variability of the Normal Urinary Proteome. Journal of Proteome Research 10:637–645

    Google Scholar 

  28. 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 

  29. Kriz W, Gretz N, Lemley KV (1998) Progression of glomerular diseases: is the podocyte the culprit? Kidney Int 54:687–697

    Google Scholar 

  30. Vilasi A, Cutillas PR, Maher AD, Zirah SF, Capasso G et al (2007) Combined proteomic and metabonomic studies in three genetic forms of the renal Fanconi syndrome. Am J Physiol Renal Physiol 293:F456–467

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Mindi Zhao .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer Science+Business Media Dordrecht

About this chapter

Cite this chapter

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

Download citation

Publish with us

Policies and ethics