The non-invasive biopsy - Will urinary proteomics make the renal tissue biopsy redundant?

QJM: An International Journal of Medicine

Volumn 102, Issue 8, 2009, Pages 523-538

  Bramham, Kate ^a   Mistry, H D ^a   Poston, L ^a   Chappell, L C ^a   Thompson, A J ^b  

^a ST THOMAS HOSPITAL   (United Kingdom)

^b KING'S COLLEGE LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ALBUMIN; CYSTATIN C; INTERLEUKIN 18; KIDNEY INJURY MOLECULE 1; MEPRIN; NEUTROPHIL GELATINASE ASSOCIATED LIPOCALIN; PROTEOME; TAMM HORSFALL GLYCOPROTEIN;

AMINO ACID URINE LEVEL; CREATININE BLOOD LEVEL; DIABETIC NEPHROPATHY; DOWN REGULATION; ENZYME ACTIVITY; GLOMERULUS FILTRATION RATE; GRAFT REJECTION; HUMAN; INTERMETHOD COMPARISON; KIDNEY BIOPSY; KIDNEY DISEASE; KIDNEY INJURY; KIDNEY TUBULE CELL; LUPUS ERYTHEMATOSUS NEPHRITIS; METHODOLOGY; NON INSULIN DEPENDENT DIABETES MELLITUS; NONHUMAN; PATIENT MONITORING; PH; PRIORITY JOURNAL; PROTEIN ANALYSIS; PROTEIN CONTENT; PROTEIN EXPRESSION; PROTEIN MICROARRAY; PROTEIN URINE LEVEL; PROTEINURIA; PROTEOMICS; REPRODUCIBILITY; REVERSED PHASE HIGH PERFORMANCE LIQUID CHROMATOGRAPHY; REVIEW; SAFETY; SURFACE ENHANCED LASER DESORPTION IONIZATION TIME OF FLIGHT MASS SPECTROMETRY; URINALYSIS; VALIDATION PROCESS;

EID: 68049092160     PISSN: 14602725     EISSN: 14602393     Source Type: Journal    
DOI: 10.1093/qjmed/hcp071     Document Type: Review

References (109)

1. Kim D, Kim H, Shin G, Ku S, Ma K, Shin S, et al. A randomized, prospective, comparative study of manual and automated renal biopsies. Am J Kidney Dis 1998; 32: 426-31.
2. Cozens NJ, Murchison JT, Allan PL, Winney RJ. Conventional 15G needle technique for renal biopsy compared with ultrasound-guided spring-loaded 18G needle biopsy. Br J Radiol 1992; 65:594-7.
3. Riehl J, Maigatter S, Kierdorf H, Schmitt H, Maurin N, Sieberth HG. Percutaneous renal biopsy: Comparison of manual and automated puncture techniques with native and transplanted kidneys. Nephrol Dial Transplant 1994; 9:1568-74.
4. Manno C, Strippoli GF, Arnesano L, Bonifati C, Campobasso N, Gesualdo L, et al. Predictors of bleeding complications in percutaneous ultrasound-guided renal biopsy. Kidney Int 2004; 66:1570-7.
5. Sorof JM, Vartanian RK, Olson JL, Tomlanovich SJ, Vincenti FG, Amend WJ. Histopathological concordance of paired renal allograft biopsy cores. Effect on the diagnosis and management of acute rejection. Transplantation 1995; 60:1215-9.
6. Nicholson ML, Wheatley TJ, Doughman TM, White SA, Morgan JD, Veitch PS, et al. A prospective randomized trial of three different sizes of core-cutting needle for renal transplant biopsy. Kidney Int 2000; 58:390-5.
7. Preda A, Van Dijk LC, Van Oostaijen JA, Pattynama PM. Complication rate and diagnostic yield of 515 consecutive ultrasound-guided biopsies of renal allografts and native kidneys using a 14-gauge Biopty gun. Eur Radiol 2003; 13: 527-30.
8. Misra S, Gyamlani G, Swaminathan S, Buehrig CK, Bjarnason H, McKusick MA, et al. Safety and diagnostic yield of transjugular renal biopsy. J Vasc Interv Radiol 2008; 19:546-51.
9. Howie AJ, Ferreira MA, Adu D. Prognostic value of simple measurement of chronic damage in renal biopsy specimens. Nephrol Dial Transplant 2001; 16:1163-9.
10. Theodorescu D, Mischak H. Mass spectrometry based proteomics in urine biomarker discovery. World J Urol 2007; 25:435-43.
11. Gonzalez-Buitrago JM, Ferreira L, Lorenzo I. Urinary proteomics. Clin Chim Acta 2007; 375:49-56.
12. Thongboonkerd V, McLeish KR, Arthur JM, Klein JB. Proteomic analysis of normal human urinary proteins isolated by acetone precipitation or ultracentrifugation. Kidney Int 2002; 62:1461-9.
13. Pieper R, Gatlin CL, McGrath AM, Makusky AJ, Mondal M, Seonarain M, et al. Characterization of the human urinary proteome: A method for high-resolution display of urinary proteins on two-dimensional electrophoresis gels with a yield of nearly 1400 distinct protein spots. Proteomics 2004; 4:1159-74.
14. Marshall T, Williams KM. Clinical analysis of human urinary proteins using high resolution electrophoretic methods. Electrophoresis 1998; 19:1752-70.
15. Barratt J, Topham P. Urine proteomics: The present and future of measuring urinary protein components in disease. CMAJ 2007; 177 361-8.
16. Zhou H, Pisitkun T, Aponte A, Yuen PS, Hoffert JD, Yasuda H, et al Exosomal Fetuin-A identified by proteomics: A novel urinary biomarker for detecting acute kidney injury. Kidney Int 2006; 70:1847-57.
17. Shaw J, Rowlinson R, Nickson J, Stone T, Sweet A, Williams K, et al Evaluation of saturation labelling two-dimensional difference gel electrophoresis fluorescent dyes. Proteomics 2003; 3:1181-95.
18. Hortin GL, Sviridov D. Diagnostic potential for urinary proteomics. Pharmacogenomics 2007; 8:237-55.
19. Lafitte D, Dussol B, Andersen S, Vazi A, Dupuy P, Jensen ON, et al Optimized preparation of urine samples for two-dimensional electrophoresis and initial application to patient samples. Clin Biochem 2002; 35:581-9.
20. Bottini PV, Ribeiro Alves MA, Garlipp CR. Electrophoretic pattern of concentrated urine: Comparison between 24-hour collection and random samples. Am J Kidney Dis 2002; 39:E2.
21. Schaub S, Rush D, Wilkins J, Gibson IW, Weiler T, Sangster K, et al Proteomic-based detection of urine proteins associated with acute renal allograft rejection. J Am Soc Nephrol 2004; 15:219-27.
22. Thongboonkerd V, Chutipongtanate S, Kanlaya R. Systematic evaluation of sample preparation methods for gel-based human urinary proteomics: quantity, quality, and variability. J Proteome Res 2006; 5 183-91.
23. O'Riordan E, Gross SS, Goligorsky MS. Technology Insight: Renal proteomics - at the crossroads between promise and problems. Nat Clin Pract Nephrol 2006; 2:445-58.
24. Weissinger EM, Wittke S, Kaiser T, Haller H, Bartel S, Krebs R, et al Proteomic patterns established with capillary electrophoresis and mass spectrometry for diagnostic purposes. Kidney Int 2004; 65 2426-34.
25. Schaub S, Wilkins J, Weiler T, Sangster K, Rush D, Nickerson P. Urine protein profiling with surface-enhanced laser-desorption/ionization time-of-flight mass spectrometry. Kidney Int 2004; 65:323-32.
26. Fliser D, Novak J, Thongboonkerd V, Argiles A, Jankowski V, Girolami MA, et al. Advances in urinary proteome analysis and biomarker discovery. J Am Soc Nephrol 2007; 18: 1057-71.
27. Weissinger EM, Schiffer E, Hertenstein B, Ferrara JL, Holler E, Stadler M, et al. Proteomic patterns predict acute graft-versus-host disease after allogeneic hematopoietic stem cell transplantation. Blood 2007; 109:5511-9.
28. Thongboonkerd V. Practical points in urinary proteomics. J Proteome Res 2007; 6:3881-90.
29. Thongboonkerd V, Saetun P. Bacterial overgrowth affects urinary proteome analysis: Recommendation for centrifugation, temperature, duration, and the use of preservatives during sample collection. J Proteome Res 2007; 6:4173-81.
30. Marshall T, Williams KM. Electrophoresis indicates protein loss on centrifugation of urine. Clin Chem 1986; 32:2105-6.
31. Tencer J, Thysell H, Andersson K, Grubb A. Stability of albumin, protein HC, immunoglobulin G, kappa- and lambda-chain immunoreactivity, orosomucoid and alpha 1-antitrypsin in urine stored at various conditions. Scand J Clin Lab Invest 1994; 54:199-206.
32. Theodorescu D, Wittke S, Ross MM, Walden M, Conaway M, Just I, et al Discovery and validation of new protein biomarkers for urothelial cancer: A prospective analysis. Lancet Oncol 2006; 7:230-40.
33. Rai AJ, Gelfand CA, Haywood BC, Warunek DJ, Yi J, Schuchard MD, et al HUPO Plasma Proteome Project specimen collection and handling: towards the standardization of parameters for plasma proteome samples. Proteomics 2005; 5:3262-77.
34. Marshall J, Kupchak P, Zhu W, Yantha J, Vrees T, Furesz S, et al. Processing of serum proteins underlies the mass spectral fingerprinting of myocardial infarction. J Proteome Res 2003; 2:361-72.
35. Schaub S, Wilkins JA, Antonovici M, Krokhin O, Weiler T, Rush D, et al. Proteomic-based identification of cleaved urinary beta2-microglobulin as a potential marker for acute tubular injury in renal allografts. Am J Transplant 2005; 5(4 Pt 1):729-38.
36. Sigdel TK, Lau K, Schilling J, Sarwal M. Optimizing protein recovery for urinary proteomics, a tool to monitor renal transplantation. Clin Transplant 2008; 22:617-23.
37. Anderson NL, Polanski M, Pieper R, Gatlin T, Tirumalai RS, Conrads TP, et al. The human plasma proteome: A nonredundant list developed by combination of four separate sources. Mol Cell Proteomics 2004; 3:311-26.
38. Norden AG, Sharratt P, Cutillas PR, Cramer R, Gardner SC, Unwin RJ. Quantitative amino acid and proteomic analysis: Very low excretion of polypeptides>750 Da in normal urine. Kidney Int 2004; 66 1994-2003.
39. Oh J, Pyo JH, Jo EH, Hwang SI, Kang SC, Jung JH, et al. Establishment of a near-standard two-dimensional human urine proteomic map. Proteomics 2004; 4:3485-97.
40. Zolotarjova N, Martosella J, Nicol G, Bailey J, Boyes BE, Barrett WC. Differences among techniques for high-abundant protein depletion. Proteomics 2005; 5:3304-13.
41. Gygi SP, Aebersold R. Mass spectrometry and proteomics. Curr Opin Chem Biol 2000; 4:489-94.
42. Candiano G, Musante L, Bruschi M, Petretto A, Santucci L, Del Boccio P, et al. Repetitive fragmentation products of albumin and alpha1-antitrypsin in glomerular diseases associated with nephrotic syndrome. J Am Soc Nephrol 2006; 17:3139-48.
43. Mischak H, Kaiser T, Walden M, Hillmann M, Wittke S, Herrmann A, et al. Proteomic analysis for the assessment of diabetic renal damage in humans. Clin Sci (Lond) 2004; 107:485-95.
44. Zurbig P, Renfrow MB, Schiffer E, Novak J, Walden M, Wittke S, et al Biomarker discovery by CE-MS enables sequence analysis via MS/MS with platform-independent separation. Electrophoresis 2006; 27 2111-25.
45. Decramer S, Wittke S, Mischak H, Zurbig P, Walden M, Bouissou F, et al. Predicting the clinical outcome of congenital unilateral ureteropelvic junction obstruction in newborn by urinary proteome analysis. Nat Med 2006; 12:398-400.
46. Olivieri O, Castagna A, Guarini P, Chiecchi L, Sabaini G, Pizzolo F, et al. Urinary prostasin: A candidate marker of epithelial sodium channel activation in humans. Hypertension 2005; 46:683-8.
47. Mosley K, Tam FW, Edwards RJ, Crozier J, Pusey CD, Lightstone L. Urinary proteomic profiles distinguish between active and inactive lupus nephritis. Rheumatology (Oxford) 2006; 45:1497-504.
48. Vestergaard P, Leverett R. Constancy of urinary creatinine excretion. J Lab Clin Med 1958; 51:211-8.
49. Jantos-Siwy J, Schiffer E, Brand K, Schumann G, Rossing K, Delles C, et al. Quantitative urinary proteome analysis for biomarker evaluation in chronic kidney disease. J Proteome Res 2009; 8 268-81.
50. Wittke S, Fliser D, Haubitz M, Bartel S, Krebs R, Hausadel F, et al Determination of peptides and proteins in human urine with capillary electrophoresis-mass spectrometry, a suitable tool for the establishment of new diagnostic markers. J Chromatogr A 2003; 1013:173-81.
51. Haubitz M, Wittke S, Weissinger EM, Walden M, Rupprecht HD, Floege J, et al. Urine protein patterns can serve as diagnostic tools in patients with IgA nephropathy. Kidney Int 2005; 67:2313-20.
52. Meier M, Kaiser T, Herrmann A, Knueppel S, Hillmann M, Koester P, et al. Identification of urinary protein pattern in type 1 diabetic adolescents with early diabetic nephropathy by a novel combined proteome analysis. J Diabetes Complications 2005; 19:223-32.
53. Rao PV, Lu X, Standley M, Pattee P, Neelima G, Girisesh G, et al. Proteomic identification of urinary biomarkers of diabetic nephropathy. Diabetes Care 2007; 30:629-37.
54. Hoorn EJ, Hoffert JD, Knepper MA. The application of DIGE-based proteomics to renal physiology. Nephron Physiol 2006; 104 61-72.
55. Aebersold R, Mann M. Mass spectrometry-based proteomics. Nature 2003; 422:198-207.
56. Vitzthum F, Behrens F, Anderson NL, Shaw JH. Proteomics: From basic research to diagnostic application. A review of requirements & needs. J Proteome Res 2005; 4:1086-97.
57. Boguski MS, McIntosh MW. Biomedical informatics for proteomics. Nature 2003; 422:233-7.
58. Bandeira N, Clauser KR, Pevzner PA. Shotgun protein sequencing: Assembly of peptide tandem mass spectra from mixtures of modified proteins. Mol Cell Proteomics 2007; 6:1123-34.
59. Hortin GL, Jortani SA, Ritchie JC Jr, Valdes R Jr, Chan DW. Proteomics: a new diagnostic frontier. Clin Chem 2006; 52:1218-22.
60. Lee SW, Lee KI, Kim JY. Revealing urologic diseases by proteomic techniques. J Chromatogr B Analyt Technol Biomed Life Sci 2005; 815:203-13.
61. Decramer S, Gonzalez de Peredo A, Breuil B, Mischak H, Monsarrat B, Bascands JL, et al. Urine in clinical proteomics. Mol Cell Proteomics 2008; 7:1850-62.
62. Neuhoff N, Kaiser T, Wittke S, Krebs R, Pitt A, Burchard A, et al. Mass spectrometry for the detection of differentially expressed proteins: A comparison of surface-enhanced laser desorption/ionization and capillary electrophoresis/mass spectrometry. Rapid Commun Mass Spectrom 2004; 18:149-56.
63. Varghese SA, Powell TB, Budisavljevic MN, Oates JC, Raymond JR, Almeida JS, et al. Urine biomarkers predict the cause of glomerular disease. J Am Soc Nephrol 2007; 18:913-22.
64. Chalmers MJ, Mackay CL, Hendrickson CL, Wittke S, Walden M, Mischak H, et al. Combined top-down and bottom-up mass spectrometric approach to characterization of biomarkers for renal disease. Anal Chem 2005; 77: 7163-71.
65. Park MR, Wang EH, Jin DC, Cha JH, Lee KH, Yang CW, et al. Establishment of a 2-D human urinary proteomic map in IgA nephropathy. Proteomics 2006; 6:1066-76.
66. Julian BA, Wittke S, Novak J, Good DM, Coon JJ, Kellmann M, et al. Electrophoretic methods for analysis of urinary polypeptides in IgA-associated renal diseases. Electrophoresis 2007; 28 4469-83.
67. Suzuki M, Ross GF, Wiers K, Nelson S, Bennett M, Passo MH, et al. Identification of a urinary proteomic signature for lupus nephritis in children. Pediatr Nephrol 2007; 22:2047-57.
68. Oates JC, Varghese S, Bland AM, Taylor TP, Self SE, Stanislaus R, et al. Prediction of urinary protein markers in lupus nephritis. Kidney Int 2005; 68:2588-92.
69. Clarke W, Silverman BC, Zhang Z, Chan DW, Klein AS, Molmenti EP. Characterization of renal allograft rejection by urinary proteomic Dnalysis. Ann Surg 2003; 237:660-4: discussion 664-5.
70. Oetting WS, Rogers TB, Krick TP, Matas AJ, Ibrahim HN. Urinary beta2-microglobulin is associated with acute renal allograft rejection. Am J Kidney Dis 2006; 47:898-904.
71. O'Riordan E, Orlova TN, Mei JJ, Butt K, Chander PM, Rahman S, et al Bioinformatic analysis of the urine proteome of acute allograft rejection. J Am Soc Nephrol 2004; 15:3240-8.
72. O'Riordan E, Orlova TN, Podust VN, Chander PN, Yanagi S, Nakazato M, et al. Characterization of urinary peptide biomarkers of acute rejection in renal allografts. Am J Transplant 2007; 7 930-40.
73. Wittke S, Haubitz M, Walden M, Rohde F, Schwarz A, Mengel M, et al Detection of acute tubulointerstitial rejection by proteomic analysis of urinary samples in renal transplant recipients. Am J Transplant 2005; 5: 2479-88.
74. Quintana LF, Campistol JM, Alcolea MP, Banon-Maneus E, Sole-Gonzalez A, Cutillas PR. Application of label-free quantitative peptidomics for the identification of urinary biomarkers of kidney chronic allograft dysfunction. Mol Cell Proteomics 2009. April 7 [epub ahead of print].
75. Nguyen MT, Devarajan P. Biomarkers for the early detection of acute kidney injury. Pediatr Nephrol 2008; 23:2151-7.
76. Nguyen MT, Ross GF, Dent CL, Devarajan P. Early prediction of acute renal injury using urinary proteomics. Am J Nephrol 2005; 25 318-26.
77. Holly MK, Dear JW, Hu X, Schechter AN, Gladwin MT, Hewitt SM, et al Biomarker and drug-target discovery using proteomics in a new rat model of sepsis-induced acute renal failure. Kidney Int 2006; 70:496-506.
78. Nickolas TL, Barasch J, Devarajan P. Biomarkers in acute and chronic kidney disease. Curr Opin Nephrol Hypertens 2008; 17:127-32.
79. Devarajan P. Emerging biomarkers of acute kidney injury. Contrib Nephrol 2007; 156:203-12.
80. Wagener G, Jan M, Kim M, Mori K, Barasch JM, Sladen RN, et al. Association between increases in urinary neutrophil gelatinase-associated lipocalin and acute renal dysfunction after adult cardiac surgery. Anesthesiology 2006; 105: 485-91.
81. Parikh CR, Jani A, Mishra J, Ma Q, Kelly C, Barasch J, et al. Urine NGAL and IL-18 are predictive biomarkers for delayed graft function following kidney transplantation. Am J Transplant 2006; 6:1639-45.
82. Trachtman H, Christen E, Cnaan A, Patrick J, Mai V, Mishra J, et al Urinary neutrophil gelatinase-associated lipocalcin in D+HUS: A novel marker of renal injury. Pediatr Nephrol 2006; 21 989-94.
83. Hirsch R, Dent C, Pfriem H, Allen J, Beekman RH 3rd, Ma Q, et al. NGAL is an early predictive biomarker of contrast-induced nephropathy in children. Pediatr Nephrol 2007; 22:2089-95.
84. Ho J, Lucy M, Krokhin O, Hayglass K, Pascoe E, Darroch G, et al. Mass spectrometry-based proteomic analysis of urine in acute kidney injury following cardiopulmonary bypass: A nested case-control study. Am J Kidney Dis 2009; 53: 584-95.
85. Kamijo A, Sugaya T, Hikawa A, Yamanouchi M, Hirata Y, Ishimitsu T, et al. Urinary liver-type fatty acid binding protein as a useful biomarker in chronic kidney disease. Mol Cell Biochem 2006; 284 175-82.
86. Jain S, Rajput A, Kumar Y, Uppuluri N, Arvind AS, Tatu U. Proteomic analysis of urinary protein markers for accurate prediction of diabetic kidney disorder. J Assoc Physicians India 2005; 53:513-20.
87. Otu HH, Can H, Spentzos D, Nelson RG, Hanson RL, Looker HC, et al. Prediction of diabetic nephropathy using urine proteomic profiling 10 years prior to development of nephropathy. Diabetes Care 2007; 30:638-43.
88. Rossing K, Mischak H, Dakna M, Zurbig P, Novak J, Julian BA, et al Urinary Proteomics in Diabetes and CKD. J Am Soc Nephrol 2008; 19:1283-90.
89. Khurana M, Traum AZ, Aivado M, Wells MP, Guerrero M, Grall F, et al Urine proteomic profiling of pediatric nephrotic syndrome. Pediatr Nephrol 2006; 21:1257-65.
90. Woroniecki RP, Orlova TN, Mendelev N, Shatat IF, Hailpern SM, Kaskel FJ, et al. Urinary proteome of steroid-sensitive and steroid-resistant idiopathic nephrotic syndrome of childhood. Am J Nephrol 2006; 26:258-67.
91. Rocchetti MT, Centra M, Papale M, Bortone G, Palermo C, Centonze D, et al. Urine protein profile of IgA nephropathy patients may predict the response to ACE-inhibitor therapy. Proteomics 2008; 8 206-16.
92. Rossing K, Mischak H, Parving HH, Christensen PK, Walden M, Hillmann M, et al. Impact of diabetic nephropathy and angiotensin II receptor blockade on urinary polypeptide patterns. Kidney Int 2005; 68 193-205.
93. Pisitkun T, Shen RF, Knepper MA. Identification and proteomic profiling of exosomes in human urine. Proc Natl Acad Sci USA 2004; 101 13368-73.
94. Thongboonkerd V, Klein JB, Pierce WM, Jevans AW, Arthur JM. Sodium loading changes urinary protein excretion: A proteomic analysis. Am J Physiol Renal Physiol 2003; 284:F1155-63.
95. Cutillas PR, Chalkley RJ, Hansen KC, Cramer R, Norden AG, Waterfield MD, et al. The urinary proteome in Fanconi syndrome implies specificity in the reabsorption of proteins by renal proximal tubule cells. Am J Physiol Renal Physiol 2004; 287:F353-64.
96. Kistler AD, Mischak H, Poster D, Dakna M, Wuthrich RP, Serra AL. Identification of a unique urinary biomarker profile in patients with autosomal dominant polycystic kidney disease. Kidney Int 2009; 76:89-96.
97. Nemirovskiy OV, Dufield DR, Sunyer T, Aggarwal P, Welsch DJ, Mathews WR. Discovery and development of a type II collagen neoepitope (TIINE) biomarker for matrix metalloproteinase activity: From in vitro to in vivo. Anal Biochem 2007; 361:93-101.
98. Thongboonkerd V, Malasit P. Renal and urinary proteomics: Current applications and challenges. Proteomics 2005; 5:1033-42.
99. Downes MR, Byrne JC, Pennington SR, Dunn MJ, Fitzpatrick JM, Watson RW. Urinary markers for prostate cancer. BJU Int 2007; 99:263-8.
100. Lam T, Nabi G. Potential of urinary biomarkers in early bladder cancer diagnosis. Expert Rev Anticancer Ther 2007; 7:1105-15.
101. Perroud B, Lee J, Valkova N, Dhirapong A, Lin PY, Fiehn O, et al. Pathway analysis of kidney cancer using proteomics and metabolic profiling. Mol Cancer 2006; 5:64.
102. Van QN, Klose JR, Lucas DA, Prieto DA, Luke B, Collins J, et al. The use of urine proteomic and metabonomic patterns for the diagnosis of interstitial cystitis and bacterial cystitis. Dis Markers 2003; 19:169-83.
103. Cadieux PA, Beiko DT, Watterson JD, Burton JP, Howard JC, Knudsen BE, et al. Surface-enhanced laser desorption/ionization-time of flight-mass spectrometry (SELDITOF- MS): A new proteomic urinary test for patients with urolithiasis. J Clin Lab Anal 2004; 18 170-5.
104. Decramer S, Bascands JL, Schanstra JP. Non-invasive markers of ureteropelvic junction obstruction. World J Urol 2007; 25 457-65.
105. Chambers AF, Vanderhyden BC. Ovarian cancer biomarkers in urine. Clin Cancer Res 2006; 12:323-7.
106. Tantipaiboonwong P, Sinchaikul S, Sriyam S, Phutrakul S, Chen ST. Different techniques for urinary protein analysis of normal and lung cancer patients. Proteomics 2005; 5: 1140-9.
107. Zimmerli LU, Schiffer E, Zurbig P, Good DM, Kellmann M, Mouls L, et al. Urinary proteomic biomarkers in coronary artery disease. Mol Cell Proteomics 2008; 7:290-8.
108. Pisitkun T, Johnstone R, Knepper MA. Discovery of urinary biomarkers. Mol Cell Proteomics 2006; 5:1760-71.
109. Mischak H, Apweiler R, Banks RE, Conaway M, Coon J, Dominicsak A, et al. Clinical proteomics: A need to define the field and to begin to set adequate standards. Proteomics Clin Appl 2007; 1:148-56.