Urinary candidate biomarker discovery in a rat unilateral ureteral obstruction model

Scientific Reports

Volumn 5, Issue , 2015, Pages

  Yuan, Yuan ^a   Zhang, Fanshuang ^a   Wu, Jianqiang ^a   Shao, Chen ^a   Gao, Youhe ^a,b  

^a INSTITUTE OF BASIC MEDICAL SCIENCES   (China)

^b BEIJING NORMAL UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

BIOLOGICAL MARKER;

ANIMAL; DISEASE MODEL; LIQUID CHROMATOGRAPHY; MALE; PROTEINURIA; RAT; SPRAGUE DAWLEY RAT; TANDEM MASS SPECTROMETRY; URETERAL OBSTRUCTION; URINE; VALIDATION STUDY;

ANIMALS; BIOMARKERS; CHROMATOGRAPHY, LIQUID; DISEASE MODELS, ANIMAL; MALE; PROTEINURIA; RATS; RATS, SPRAGUE-DAWLEY; TANDEM MASS SPECTROMETRY; URETERAL OBSTRUCTION;

EID: 84925445398     PISSN: None     EISSN: 20452322     Source Type: Journal    
DOI: 10.1038/srep09314     Document Type: Article

References (53)

1. Gao, Y. Urine-an untapped goldmine for biomarker discovery? Sci China Life Sci. 56, 1145-1146 (2013).
2. Li, M., Zhao, M. & Gao, Y. Changes of proteins induced by anticoagulants can be more sensitively detected in urine than in plasma. Sci China Life Sci. 57, 649-656 (2014).
3. Gao, Y. Roadmap to the Urine Biomarker Era. MOJ Proteomics Bioinform. 1, 00005 (2014).
4. Chevalier, R. L., Forbes, M. S. & Thornhill, B. A. Ureteral obstruction as amodel of renal interstitial fibrosis and obstructive nephropathy. Kidney Int. 75, 1145-1152 (2009).
5. Rampanelli, E. et al. Opposite role of CD44-standard and CD44-variant-3 in tubular injury and development of renal fibrosis during chronic obstructive nephropathy. Kidney Int. 86, 558-569 (2014).
6. Nath, K. A. The tubulointerstitium in progressive renal disease. Kidney Int. 54, 992-994 (1998).
7. Tampe, B. & Zeisberg, M. Contribution of genetics and epigenetics to progression of kidney fibrosis. Nephrol Dial Transplant. 29 Suppl 4, iv72-79 (2014).
8. Nagle, R. B., Bulger, R. E., Cutler, R. E., Jervis, H. R. & Benditt, E. P. Unilateral obstructive nephropathy in the rabbit. I. Early morphologic, physiologic, and histochemical changes. Lab Invest. 28, 456-467 (1973).
9. Klahr, S. & Morrissey, J. Obstructive nephropathy and renal fibrosis. Am J Physiol Renal Physiol. 283, F861-875 (2002).
10. Vaughan, E. D., Jr., Marion, D., Poppas, D. P. & Felsen, D. Pathophysiology of unilateral ureteral obstruction: studies from Charlottesville to New York. J Urol. 172, 2563-2569 (2004).
11. Grgic, I., Duffield, J. S. & Humphreys, B. D. The origin of interstitial myofibroblasts in chronic kidney disease. Pediatr Nephrol. 27, 183-193 (2012).
12. Bascands, J. L. & Schanstra, J. P. Obstructive nephropathy: insights from genetically engineered animals. Kidney Int. 68, 925-937 (2005).
13. Stodkilde, L. et al. Proteomic identification of early changes in the renal cytoskeleton in obstructive uropathy. Am J Physiol Renal Physiol. 306, F1429-1441 (2014).
14. Stodkilde, L. et al. Urinary proteome analysis in congenital bilateral hydronephrosis. Scand J Urol. 47, 43-51 (2013).
15. Mesrobian, H. G. et al. Candidate urinary biomarker discovery in ureteropelvic junction obstruction: a proteomic approach. J Urol. 184, 709-714 (2010).
16. Li, X., Zhao, M., Li, M., Jia, L. & Gao, Y. Effects of three commonly-used diuretics on the urinary proteome. Genomics Proteomics Bioinformatics. 12, 120-126 (2014).
17. Bostick, B., Yue, Y., Long, C. & Duan, D. Prevention of dystrophin-deficient cardiomyopathy in twenty-one-month-old carrier mice by mosaic dystrophin expression or complementary dystrophin/utrophin expression. Circ Res. 102, 121-130 (2008).
18. Price, C. P., Newall, R. G. & Boyd, J. C. Use of protein:creatinine ratio measurements on random urine samples for prediction of significant proteinuria: a systematic review. Clin Chem. 51, 1577-1586 (2005).
19. Sun, W. et al. Human urine proteome analysis by three separation approaches. Proteomics. 5, 4994-5001 (2005).
20. Wisniewski, J. R., Zougman, A., Nagaraj, N. & Mann, M. Universal sample preparation method for proteome analysis. Nat Methods. 6, 359-362 (2009).
21. Nesvizhskii, A. I., Keller, A., Kolker, E. & Aebersold, R. A statistical model for identifying proteins by tandem mass spectrometry. Anal Chem. 75, 4646-4658 (2003).
22. Old, W. M. et al. Comparison of label-free methods for quantifying human proteins by shotgun proteomics. Mol Cell Proteomics. 4, 1487-1502 (2005).
23. Liu, H., Sadygov, R. G. & Yates, J. R., 3rd. A model for random sampling and estimation of relative protein abundance in shotgun proteomics. Anal Chem. 76, 4193-4201 (2004).
24. Schmidt, C. et al. Mass spectrometry-based relative quantification of proteins in precatalytic and catalytically active spliceosomes by metabolic labeling (SILAC), chemical labeling (iTRAQ), and label-free spectral count. RNA. 20, 406-420 (2014).
25. Chevalier, R. L. Obstructive nephropathy: towards biomarker discovery and gene therapy. Nat Clin Pract Nephrol. 2, 157-168 (2006).
26. Eddy, A. A., Lopez-Guisa, J. M., Okamura, D. M. & Yamaguchi, I. Investigating mechanisms of chronic kidney disease in mouse models. Pediatr Nephrol. 27, 1233-1247 (2012).
27. Schaffer, P. et al. [Urinary enzyme excretion in childhood uropathy]. Orv Hetil. 143, 2135-2139 (2002).
28. Grande, M. T. & Lopez-Novoa, J. M. Fibroblast activation and myofibroblast generation in obstructive nephropathy. Nat Rev Nephrol. 5, 319-328 (2009).
29. Silverstein, D. M. et al. Altered expression of immune modulator and structural genes in neonatal unilateral ureteral obstruction. Kidney Int. 64, 25-35 (2003).
30. Kandasamy, N. & Ashokkumar, N. Protective effect of bioflavonoid myricetin enhances carbohydrate metabolic enzymes and insulin signaling molecules in streptozotocin-cadmium induced diabetic nephrotoxic rats. Toxicol Appl Pharmacol. 279, 173-185 (2014).
31. Moles, A., Tarrats, N., Fernandez-Checa, J. C. & Mari, M. Cathepsins B and D drive hepatic stellate cell proliferation and promote their fibrogenic potential. Hepatology. 49, 1297-1307 (2009).
32. Minarowska, A., Minarowski, L., Karwowska, A., Sands, D. & Dabrowska, E. The activity of cathepsin D in saliva of cystic fibrosis patients. Folia Histochem Cytobiol. 45, 165-168 (2007).
33. Zacchia, M. et al. Genomic and proteomic approaches to renal cell carcinoma. J Nephrol. 24, 155-164 (2011).
34. Seret, G., Le Meur, Y., Renaudineau, Y. & Youinou, P. Mesangial cell-specific antibodies are central to the pathogenesis of lupus nephritis. Clin Dev Immunol. 2012, 579670 (2012).
35. Kypreou, K. P. et al. Altered expression of calreticulin during the development of fibrosis. Proteomics. 8, 2407-2419 (2008).
36. Trougakos, I. P. & Gonos, E. S. Regulation of clusterin/apolipoprotein J, a functional homologue to the small heat shock proteins, by oxidative stress in ageing and age-related diseases. Free Radic Res. 40, 1324-1334 (2006).
37. Fuchs, T. C. & Hewitt, P. Biomarkers for drug-induced renal damage and nephrotoxicity-an overview for applied toxicology. AAPS J. 13, 615-631 (2011).
38. Shao, C. et al. 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 (2011).
39. Zhao, M. et al. Dynamic changes of urinary proteins in a focal segmental glomerulosclerosis rat model. Proteome Sci. 12, 42 (2014).
40. Osman, I. et al. Novel blood biomarkers of human urinary bladder cancer. Clin Cancer Res. 12, 3374-3380 (2006).
41. Noma, N. et al. Involvement of NF-kappaB-mediated expression of galectin-3-binding protein in TNF-alpha-induced breast cancer cell adhesion. Oncol Rep. 27, 2080-2084 (2012).
42. May, R. C., Clark, A. S., Goheer, M. A. & Mitch, W. E. Specific defects in insulin-mediated muscle metabolism in acute uremia. Kidney Int. 28, 490-497 (1985).
43. Caseiro, A. et al. Salivary proteome and peptidome profiling in type 1 diabetes mellitus using a quantitative approach. J Proteome Res. 12, 1700-1709 (2013).
44. Skalova, S., Neuman, D., Lnenicka, P. & Stekrova, J. Gitelman syndrome as a cause of psychomotor retardation in a toddler. Arab J Nephrol Transplant. 6, 37-39 (2013).
45. Huang, R. Y., Huang, Q. C. & Burgering, B. M. Novel insight into the role of alpha-actinin-1 in rheumatoid arthritis. Discov Med. 17, 75-80 (2014).
46. Kojima, S. et al. Proteomic analysis of whole glomeruli in patients with IgA nephropathy using microsieving. Am J Nephrol. 39, 36-45 (2014).
47. Sui, W. et al. Differential proteomic analysis of renal tissue in mesangial proliferative glomerulonephritis using iTRAQ technology. J Nephrol. 26, 191-198 (2013).
48. Zhang, Q. et al. Urinary biomarker detection of melamine- and cyanuric acid-induced kidney injury in rats. Toxicol Sci. 129, 1-8 (2012).
49. Falk, R. J. et al. Neoantigen of the polymerized ninth component of complement. Characterization of a monoclonal antibody and immunohistochemical localization in renal disease. J Clin Invest. 72, 560-573 (1983).
50. Moningka, N. C. et al. Effects of voluntary wheel running on the kidney at baseline and after ischaemia-reperfusion-induced acute kidney injury: a strain difference comparison. J Physiol. 591, 1313-1324 (2013).
51. Chen, J. H., Ni, R. Z., Xiao, M. B., Guo, J. G. & Zhou, J. W. Comparative proteomic analysis of differentially expressed proteins in human pancreatic cancer tissue. Hepatobiliary Pancreat Dis Int. 8, 193-200 (2009).
52. Millioni, R. et al. Abnormal cytoskeletal protein expression in cultured skin fibroblasts from type 1 diabetes mellitus patients with nephropathy: A proteomic approach. Proteomics Clin Appl. 2, 492-503 (2008).
53. Pacal, L. et al. Role of thiamine status and genetic variability in transketolase and other pentose phosphate cycle enzymes in the progression of diabetic nephropathy. Nephrol Dial Transplant. 26, 1229-1236 (2011).