Predictive biomarkers of renal allograft failure

Expert Opinion on Medical Diagnostics

Volumn 2, Issue 11, 2008, Pages 1279-1290

  Boenisch, Olaf ^a   Chandraker, Anil ^a  

^a BRIGHAM AND WOMEN S HOSPITAL   (United States)

Author keywords

Biomarker; Graft survival; Kidney transplantation; Outcome

Indexed keywords

BIOLOGICAL MARKER; C REACTIVE PROTEIN; CD30 ANTIGEN; CD33 ANTIGEN; CHEMOKINE; CREATININE; CYCLOSPORIN; CYTOKINE; DNA; GAMMA INTERFERON; GAMMA INTERFERON INDUCIBLE PROTEIN 10; GRANZYME B; HLA ANTIBODY; IMMUNOSUPPRESSIVE AGENT; MAJOR HISTOCOMPATIBILITY ANTIGEN CLASS 1; MAJOR HISTOCOMPATIBILITY ANTIGEN CLASS 1 RELATED CHAIN A; MYCOPHENOLIC ACID 2 MORPHOLINOETHYL ESTER; NEOPTERIN; NEUTROPHIL GELATINASE ASSOCIATED LIPOCALIN; PERFORIN; PREGNANCY ASSOCIATED PLASMA PROTEIN A; RAPAMYCIN; RECOMBINANT SCATTER FACTOR; SCATTER FACTOR; TACROLIMUS; TRANSCRIPTION FACTOR FOXP3; TRANSFORMING GROWTH FACTOR BETA; UNCLASSIFIED DRUG;

ACUTE GRAFT REJECTION; CHRONIC GRAFT REJECTION; DNA POLYMORPHISM; DRUG BLOOD LEVEL; DRUG METABOLISM; EARLY DIAGNOSIS; ENZYME LINKED IMMUNOSPOT ASSAY; FOLLOW UP; GENOMICS; GLOMERULUS FILTRATION RATE; GRAFT RECIPIENT; GRAFT SURVIVAL; GRAFT VERSUS HOST REACTION; HIGH RISK PATIENT; HUMAN; INDIVIDUALIZATION; INFORMATION RETRIEVAL; KIDNEY ALLOGRAFT; KIDNEY BIOPSY; KIDNEY GRAFT REJECTION; KIDNEY TRANSPLANTATION; MEDLINE; METABOLOMICS; MICROCHIMERISM; NEPHROTOXICITY; NONHUMAN; PATIENT IDENTIFICATION; PREDICTION; PROTEIN ANALYSIS; PROTEIN BLOOD LEVEL; PROTEIN URINE LEVEL; PROTEINURIA; PROTEOMICS; REVIEW; TREATMENT PLANNING;

EID: 77953468545     PISSN: 17530059     EISSN: 17530067     Source Type: Journal    
DOI: 10.1517/17530059.2.11.1279     Document Type: Review

References (109)

1. Aalten J, Christiaans MH, De Fijter H, et al. The influence of obesity on short- and long-term graft and patient survival after renal transplantation. Transpl Int 2006;19:901-7
2. Jushinskis J, Bicans J, Suhorukov V, et al. Vascular access outcomes as a predictor of development of chronic allograft nephropathy. Transplant Proc 2006;38:2657-8
3. Lisik W, Gontarczyk G, Kosieradzki M, et al. Intraoperative blood flow measurements in organ allografts can predict postoperative function. Transplant Proc 2007;39:371-2
4. Vallejos A, Alperovich G, Moreso F, et al. Resistive index and chronic allograft nephropathy evaluated in protocol biopsies as predictors of graft outcome. Nephrol Dial Transplant 2005;20:2511-6
5. Einollahi B, Bakhtiari P, Simforoosh N, et al. Renal allograft accumulation of technetium-99m sulfur colloid as a predictor of graft rejection. Transplant Proc 2005;37:2973-5
6. Yehia M, Matheson PJ, Merrilees MJ, et al. Predictors of chronic allograft nephropathy from protocol biopsies using histological and immunohistochemical techniques. Nephrology (Carlton) 2006;11:261-6
7. Palomar R, Ruiz JC, Mayorga M, et al. The macrophage infiltration index and matrix metalloproteinase-II expression as a predictor of chronic allograft rejection. Transplant Proc 2004;36:2662-3
8. Suresh V, Carey BS, Shaw S, et al. A retrospective study of the prognostic impact of cytokine secretion in mixed lymphocyte culture on long-term graft function following allogeneic renal transplantation. Transpl Int 2005;18:1067-71
9. Heeger PS, Greenspan NS, Kuhlenschmidt S, et al. Pretransplant frequency of donor-specific, IFN-gamma-producing lymphocytes is a manifestation of immunologic memory and correlates with the risk of posttransplant rejection episodes. J Immunol 1999;163:2267-75
10. Nankivell BJ, Chapman JR. Chronic allograft nephropathy: current concepts and future directions. Transplantation 2006;81:643-54
11. Hariharan S, McBride MA, Cherikh WS, et al. Post-transplant renal function in the first year predicts long-term kidney transplant survival. Kidney Int 2002;62:311-8
12. McEwan P, Baboolal K, Dixon S, et al. Patterns of graft and patient survival following renal transplantation and evaluation of serum creatinine as a predictor of survival: a review of data collected from one clinical centre over 34 years. Curr Med Res Opin 2005;21:1793-800
13. Marques GG, Goenaga PE, Royo FJ, et al. Evolution of the renal function is a better predictor of long-term survival than serum creatinine. Transplant Proc 2005;37:3701-4
14. Salvadori M, Rosati A, Bock A, et al. Estimated one-year glomerular filtration rate is the best predictor of long-term graft function following renal transplant. Transplantation 2006;81:202-6
15. Remuzzi G, Bertani T. Pathophysiology of progressive nephropathies. N Engl J Med 1998;339:1448-56
16. Donadelli R, Zanchi C, Morigi M, et al. Protein overload induces fractalkine upregulation in proximal tubular cells through nuclear factor kappaB- and p38 mitogen-activated protein kinase-dependent pathways. J Am Soc Nephrol 2003;14:2436-46
17. First MR, Vaidya PN, Maryniak RK, et al. Proteinuria following transplantation. Correlation with histopathology and outcome. Transplantation 1984;38:607-12
18. Peddi VR, Dean DE, Hariharan S, et al. Proteinuria following renal transplantation: correlation with histopathology and outcome. Transplant Proc 1997;29:101-3
19. Yildiz A, Erkoc R, Sever MS, et al. The prognostic importance of severity and type of post-transplant proteinuria. Clin Transplant 1999;13:241-4
20. Halimi JM, Buchler M, Al Najjar A, et al. Urinary albumin excretion and the risk of graft loss and death in proteinuric and non-proteinuric renal transplant recipients. Am J Transplant 2007;7:618-25
21. Molnar MZ, Czira M, Ambrus C, et al. Anemia is associated with mortality in kidney-transplanted patients - a prospective cohort study. Am J Transplant 2007;7:818-24
22. Winkelmayer WC, Lorenz M, Kramar R, et al. Percentage of hypochromic red blood cells is an independent risk factor for mortality in kidney transplant recipients. Am J Transplant 2004;4:2075-81
23. Weir MR. Is anemia a predictor for mortality and loss of graft function in kidney transplant recipients? Am J Transplant 2007;7:731-2
24. Molina P, Gavela E, Sancho A, et al. Erythropoietin treatment in the sixth posttransplant month as a prognostic factor for renal allograft survival. Transplant Proc 2006;38:2441-4
25. Terasaki PI, Ozawa M. Predictive value of HLA antibodies and serum creatinine in chronic rejection: results of a 2-year prospective trial. Transplantation 2005;80:1194-7
26. Panigrahi A, Gupta N, Siddiqui JA, et al. Monitoring of anti-HLA and anti-Major histocompatibility complex class I related chain A antibodies in living related renal donor transplantation. Transplant Proc 2007;39:759-60
27. D'Elios MM, Josien R, Manghetti M, et al. Predominant Th1 cell infiltration in acute rejection episodes of human kidney grafts. Kidney Int 1997;51:1876-84
28. Amirzargar A, Lessanpezeshki M, Fathi A, et al. TH1/TH2 cytokine analysis in Iranian renal transplant recipients. Transplant Proc 2005;37:2985-7
29. Fitzgerald JT, Johnson JR, Perez RV. Pee-transplant elevations of interleukin-12 and interleukin-10 are associated with acute rejection after renal transplantation. Clin Transplant 2004;18:434-9
30. Yamada K, Hatakeyama E, Arita S, et al. Prediction of chronic renal allograft dysfunction from evaluations of TGFBeta1 and the renin-angiotensin system. Clin Exp Nephrol 2003;7:238-42
31. Hancock WW, Lu B, Gao W, et al. Requirement of the chemokine receptor CXCR3 for acute allograft rejection. J Exp Med 2000;192:1515-20
32. Hancock WW, Gao W, Csizmadia V, et al. Donor-derived IP-10 initiates development of acute allograft rejection. J Exp Med 2001;193:975-80
33. Segerer S, Cui Y, Eitner F, et al. Expression of chemokines and chemokine receptors during human renal transplant rejection. Am J Kidney Dis 2001;37:518-31
34. Akalin E, Dikman S, Murphy B, et al. Glomerular infiltration by CXCR3+ ICOS+ activated T cells in chronic allograft nephropathy with transplant glomerulopathy. Am J Transplant 2003;3:1116-20
35. Lazzeri E, Rotondi M, Mazzinghi B, et al. High CXCL10 expression in rejected kidneys and predictive role of pretransplant serum CXCL10 for acute rejection and chronic allograft nephropathy. Transplantation 2005;79:1215-20
36. Rotondi M, Rosati A, Buonamano A, et al. High pretransplant serum levels of CXCL10/IP-10 are related to increased risk of renal allograft failure. Am J Transplant 2004;4:1466-74
37. Matz M, Beyer J, Wunsch D, et al. Early post-transplant urinary IP-10 expression after kidney transplantation is predictive of short- and long-term graft function. Kidney Int 2006;69:1683-90
38. Denton MD, Geehan CS, Alexander SI, et al. Endothelial cells modify the costimulatory capacity of transmigrating leukocytes and promote CD28-mediated CD4(+) T cell alloactivation. J Exp Med 1999;190:555-66
39. Savage CO, Brooks CJ. Human vascular endothelial cells do not induce anergy in allogeneic CD4+ T cells unless costimulation is prevented. Transplantation 1995;60:734-40
40. Kapoor A, Morita K, Engeman TM, et al. Early expression of interferon-gamma inducible protein 10 and monokine induced by interferon-gamma in cardiac allografts is mediated by CD8+ T cells. Transplantation 2000;69:1147-55
41. Kobayashi H, Koga S, Novick AC, et al. T-cell mediated induction of allogeneic endothelial cell chemokine expression. Transplantation 2003;75:529-36
42. Hauser IA, Spiegler S, Kiss E, et al. Prediction of acute renal allograft rejection by urinary monokine induced by IFN-gamma (MIG). J Am Soc Nephrol 2005;16:1849-58
43. Simmons EM, Langone A, Sezer MT, et al. Effect of renal transplantation on biomarkers of inflammation and oxidative stress in end-stage renal disease patients. Transplantation 2005;79:914-9
44. Varagunam M, Finney H, Trevitt R, et al. Pretransplantation levels of C-reactive protein predict all-cause and cardiovascular mortality, but not graft outcome, in kidney transplant recipients. Am J Kidney Dis 2004;43:502-7
45. Ozdemir NF, Elsurer R, Ibis A, et al. Serum C-reactive protein surge in renal transplant recipients: link with allograft survival. Transplant Proc 2007;39:934-7
46. Sezer S, Akcay A, Ozdemir FN, et al. Post-transplant C-reactive protein monitoring can predict chronic allograft nephropathy. Clin Transplant 2004;18:722-5
47. Lauzurica R, Pastor C, Bayes B, et al. Pretransplant pregnancy-associated plasma protein-a as a predictor of chronic allograft nephropathy and posttransplant cardiovascular events. Transplantation 2005;80:1441-6
48. Bayes Genis A, Conover CA, Overgaard MT, et al. Pregnancy-associated plasma protein A as a marker of acute coronary syndromes. N Engl J Med 2001;345:1022-9
49. Hall BM. Cells mediating allograft rejection. Transplantation 1991;51:1141-51
50. Li B, Hartono C, Ding R, et al. Noninvasive diagnosis of renal-allograft rejection by measurement of messenger RNA for perforin and granzyme B in urine. N Engl J Med 2001;344:947-54
51. Susal C, Pelzl S, Simon T, Opelz G. Advances in pre- and posttransplant immunologic testing in kidney transplantation. Transplant Proc 2004;36:29-34
52. Simon T, Opelz G, Wiesel M, et al. Serial peripheral blood interleukin-18 and perforin gene expression measurements for prediction of acute kidney graft rejection. Transplantation 2004;77:1589-95
53. Weimer R, Zipperle S, Daniel V, et al. Pretransplant CD4 helper function and interleukin 10 response predict risk of acute kidney graft rejection. Transplantation 1996;62:1606-14
54. Weimer R, Zipperle S, Daniel V, et al. Superior 3-year kidney graft function in patients with impaired pretransplant Th2 responses. Transpl Int 1998;11(Suppl 1):S350-6
55. Susal C, Pelzl S, Dohler B, Opelz G. Identification of highly responsive kidney transplant recipients using pretransplant soluble CD30. J Am Soc Nephrol 2002;13:1650-6
56. Heinemann FM, Rebmann V, Witzke O, et al. Association of elevated pretransplant sCD30 levels with graft loss in 206 patients treated with modern immunosuppressive therapies after renal transplantation. Transplantation 2007;83:706-11
57. Vaidya S, Partlow D, Barnes T, Gugliuzza K. Pretransplant soluble CD30 is a better predictor of posttransplant development of donor-specific antibodies and acute vascular rejection than panel reactive antibodies. Transplantation 2006;82:1606-9
58. Rajakariar R, Jivanji N, Varagunam M, et al. High pre-transplant soluble CD30 levels are predictive of the grade of rejection. Am J Transplant 2005;5:1922-5
59. Cinti P, Pretagostini R, Arpino A, et al. Evaluation of pretransplant immunologic status in kidney-transplant recipients by panel reactive antibody and soluble CD30 determinations. Transplantation 2005;79:599-601
60. Weimer R, Susal C, Yildiz S, et al. Post-transplant sCD30 and neopterin as predictors of chronic allograft nephropathy: impact of different immunosuppressive regimens. Am J Transplant 2006;6:1865-74
61. Langan LL, Park LP, Hughes TL, et al. Post-transplant HLA class II antibodies and high soluble CD30 levels are independently associated with poor kidney graft survival. Am J Transplant 2007;7:847-56
62. Rodriguez LM, Paris SC, Arbelaez M, et al. Kidney graft recipients with pretransplantation HLA CLASS I antibodies and high soluble CD30 are at high risk for graft loss. Hum Immunol 2007;68:652-60
63. Seiter S, Weber B, Tilgen W, Zoller M. Down-modulation of host reactivity by anti-CD44 in skin transplantation. Transplantation 1998;66:778-91
64. Knoflach A, Azuma H, Magee C, et al. Immunomodulatory functions of low-molecular weight hyaluronate in an acute rat renal allograft rejection model. J Am Soc Nephrol 1999;10:1059-66
65. Rouschop KM, Roelofs JJ, Rowshani AT, et al. Pre-transplant plasma and cellular levels of CD44 correlate with acute renal allograft rejection. Nephrol Dial Transplant 2005;20:2248-54
66. Muthukumar T, Dadhania D, Ding R, et al. Messenger RNA for FOXP3 in the urine of renal-allograft recipients. N Engl J Med 2005;353:2342-51
67. Parikh CR, Jani A, Mishra 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
68. Matsumoto K, Nakamura T. Hepatocyte growth factor: molecular structure, rules in liver regeneration, and other biological functions. Crit Rev Oncog 1994;3:27
69. Miller SB, Martin DR, Kissane J, Hammerman MR. Hepatocyte growth factor accelerates recovery from acute ischemic renal injury in rats. Am J Physiol 1994;266:F129-34
70. Yoshimura R, Watanabe Y, Kasai S, et al. Hepatocyte growth factor (HGF) as a rapid diagnostic marker and its potential in the prevention of acute renal rejection. Transpl Int 2002;15:156-62
71. Takada S, Namiki M, Takahara S, et al. Serum HGF levels in acute renal rejection after living related renal transplantation. Transpl Int 1996;9:151-4
72. Mahmoud K, Opelz G, Pelzl S, et al. Evaluation of hepatocyte growth factor as a sensitive marker for early detection of acute renal allograft rejection. Transplantation 2007;83:1035-40
73. Fu YW, Wang WG, Zhou HL, Cai L. Presence of donor-and-recipient-derived DNA microchimerism in the cell-free blood samples of renal transplantation recipients associates with the acceptance of transplanted kidneys. Asian J Androl 2006;8:477-82
74. Hoffmann S, Park J, Jacobson LM, et al. Donor genomics influence graft events: the effect of donor polymorphisms on acute rejection and chronic allograft nephropathy. Kidney Int 2004;66:1686-93
75. Hauser IA, Schaeffeler E, Gauer S, et al. ABCB1 genotype of the donor but not of the recipient is a major risk factor for cyclosporine-related nephrotoxicity after renal transplantation. J Am Soc Nephrol 2005;16:1501-11
76. Akcay A, Sezer S, Ozdemir FN, et al. Association of the genetic polymorphisms of the renin-angiotensin system and endothelial nitric oxide synthase with chronic renal transplant dysfunction. Transplantation 2004;78:892-8
77. Akcay A, Ozdemir FN, Atac FB, et al. Angiotensin-converting enzyme genotype is a predictive factor in the peak panel-reactive antibody response. Transplant Proc 2004;36:35-7
78. Barocci S, Ginevri F, Valente U, et al. Correlation between angiotensin-converting enzyme gene insertion/deletion polymorphism and kidney graft long-term outcome in pediatric recipients: a single-center analysis. Transplantation 1999;67:534-8
79. Beige J, Scherer S, Weber A, et al. Angiotensin-converting enzyme genotype and renal allograft survival. J Am Soc Nephrol 1997;8:1319-23
80. Beige J, Offermann G, Distler A, Sharma AM. Angiotensin-converting-enzyme insertion/deletion genotype and long-term renal allograft survival. Nephrol Dial Transplant 1998;13:735-8
81. Abdi R, Tran TB, Zee R, et al. Angiotensin gene polymorphism as a determinant of posttransplantation renal dysfunction and hypertension. Transplantation 2001;72:726-9
82. Sezer S, Uyar M, Akcay A, et al. Endothelial nitric oxide synthase and angiotensin II type 1 receptor gene polymorphisms can influence chronic inflammatory state in renal transplant patients. Transplant Proc 2005;37:776-8
83. Scolari MP, Cappuccilli ML, Lanci N, et al. Predictive factors in chronic allograft nephropathy. Transplant Proc 2005;37:2482-4
84. Chow KM, Szeto CC, Poon P, et al. Transforming growth factor-beta1 gene polymorphism in renal transplant recipients. Ren Fail 2005;27:671-5
85. Kruger B, Schroppel B, Ashkan R, et al. A Monocyte chemoattractant protein-I (MCP-1) polymorphism and outcome after renal transplantation. J Am Soc Nephrol 2002;13:2585-9
86. Poggio ED, Roddy M, Riley J, et al. Analysis of immune markers in human cardiac allograft recipients and association with coronary artery vasculopathy. J Heart Lung Transplant 2005;24:1606-13
87. Najafian N, Salama AD, Fedoseyeva EV, et al. Enzyme-linked immunosorbent spot assay analysis of peripheral blood lymphocyte reactivity to donor HLA-DR peptides: potential novel assay for prediction of outcomes for renal transplant recipients. J Am Soc Nephrol 2002;13:252-9
88. Hricik DE, Rodriguez V, Riley J, et al. Enzyme linked immunosorbent spot (ELISPOT) assay for interferon-gamma independently predicts renal function in kidney transplant recipients. Am J Transplant 2003;3:878-84
89. Clarke W, Silverman BC, Zhang Z, et al. Characterization of renal allograft rejection by urinary proteomic analysis. Ann Surg 2003;237:660-4; discussion 664-5
90. Schaub S, Rush D, Wilkins J, et al. Proteomic-based detection of urine proteins associated with acute renal allograft rejection. J Am Soc Nephrol 2004;15:219-27
91. Schaub S, Wilkins JA, Antonovici M, 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;5:729-38
92. Wishart DS. Metabolomics in monitoring kidney transplants. Curr Opin Nephrol Hypertens 2006;15:637-42
93. Lindon JC, Holmes E, Bollard ME, et al. Metabonomics technologies and their applications in physiological monitoring, drug safety assessment and disease diagnosis. Biomarkers 2004;9:1-31
94. Nicholson JK, Lindon JC, Holmes E. 'Metabonomics': understanding the metabolic responses of living systems to pathophysiological stimuli via multivariate statistical analysis of biological NMR spectroscopic data. Xenobiotica 1999;29:1181-9
95. Serkova N, Fuller TF, Klawitter J, et al. H-NMR-based metabolic signatures of mild and severe ischemia/reperfusion injury in rat kidney transplants. Kidney Int 2005;67:1142-51
96. Fuller TF, Serkova N, Niemann CU, Freise CE. Influence of donor pretreatment with N-acetylcysteine on ischemia/reperfusion injury in rat kidney grafts. J Urol 2004;171:1296-300
97. Hauet T, Baumert H, Gibelin H, et al. Noninvasive monitoring of citrate, acetate, lactate, and renal medullary osmolyte excretion in urine as biomarkers of exposure to ischemic reperfusion injury. Cryobiology 2000;41:280-91
98. Domanski L, Safranow K, Jakubowska K, et al. Oxypurine and nucleoside concentrations in renal veins during reperfusion are predictors of early graft function. Scand J Urol Nephrol 2007;41:161-7
99. Annesley TM, Clayton LT. Quantification of mycophenolic acid and glucuronide metabolite in human serum by HPLC-tandem mass spectrometry. Clin Chem 2005;51:872-7
100. Vollenbroeker B, Koch JH, Fobker M, et al. Determination of cyclosporine and its metabolites in blood via HPLC-MS and correlation to clinically important parameters. Transplant Proc 2005;37:1741-4
101. Sarwal M, Chua MS, Kambham N, et al. Molecular heterogeneity in acute renal allograft rejection identified by DNA microarray profiling. N Engl J Med 2003;349:125-38
102. Eikmans M, Roos Van Groningen MC, Sijpkens YW, et al. Expression of surfactant protein-C, S100A8, S100A9, and B cell markers in renal allografts: investigation of the prognostic value. J Am Soc Nephrol 2005;16:3771-86
103. Vargha R, Mueller T, Arbeiter K, et al. C4d in pediatric renal allograft biopsies: a marker for negative outcome in steroid-resistant rejection. Pediatr Transplant 2006;10:449-53
104. Jianghua C, Wenqing X, Huiping W, et al. C4d as a significant predictor for humoral rejection in renal allografts. Clin Transplant 2005;19:785-91
105. Johnson TS, Abo Zenah H, Skill JN, et al. Tissue transglutaminase: a mediator and predictor of chronic allograft nephropathy? Transplantation 2004;77:1667-75
106. August C, Brockmann J, Vowinkel T, et al. Stress associated proteins metallothionein, HO-1 and HSP 70 in human zero-hour biopsies of transplanted kidneys. Virchows Arch 2006;449:192-9
107. Muramatsu M, Miyagi M, Ishikawa Y, et al. Estimation of damaged tubular epithelium in renal allografts by determination of vimentin expression. Int J Urol 2004;11:954-62
108. Mishra J, Ma Q, Kelly C, et al. Kidney NGAL is a novel early marker of acute injury following transplantation. Pediatr Nephrol 2006;21:856-63
109. Harris S, Coupes BM, Roberts SA, et al. TGF-beta1 in chronic allograft nephropathy following renal transplantation. J Nephrol 2007;20:177-85