Clusterin in kidney transplantation: Novel biomarkers versus serum creatinine for early prediction of delayed graft function

Transplantation

Volumn 99, Issue 1, 2015, Pages 171-179

  Pianta, Timothy J ^a,b   Peake, Philip W ^a,b   Pickering, John W ^c   Kelleher, Michaela ^a   Buckley, Nicholas A ^d   Endre, Zoltan H ^a,b,c  

^a PRINCE OF WALES HOSPITAL   (Australia)

^b UNIVERSITY OF NEW SOUTH WALES   (Australia)

^c UNIVERSITY OF OTAGO   (New Zealand)

^d UNIVERSITY OF SYDNEY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTERIN; CREATININE; INTERLEUKIN 18; KIDNEY INJURY MOLECULE 1; NEUTROPHIL GELATINASE ASSOCIATED LIPOCALIN; ACUTE PHASE PROTEIN; BIOLOGICAL MARKER; CLU PROTEIN, HUMAN; INTERLEUKIN 18 PROTEIN, HUMAN; LCN2 PROTEIN, HUMAN; LIPOCALIN; ONCOPROTEIN;

ADULT; ANALYTICAL PARAMETERS; ANURIA; ARTICLE; COHORT ANALYSIS; CONTROLLED STUDY; CREATININE BLOOD LEVEL; CREATININE REDUCTION RATIO; DELAYED GRAFT FUNCTION; DIAGNOSTIC TEST ACCURACY STUDY; FEMALE; GRAFT RECIPIENT; HUMAN; KIDNEY GRAFT; KIDNEY TRANSPLANTATION; MAJOR CLINICAL STUDY; MALE; OUTCOME ASSESSMENT; PREDICTION; PREOPERATIVE PERIOD; PROSPECTIVE STUDY; PROTEIN URINE LEVEL; RECEIVER OPERATING CHARACTERISTIC; REPERFUSION; SENSITIVITY ANALYSIS; SENSITIVITY AND SPECIFICITY; AREA UNDER THE CURVE; AUSTRALIA; BLOOD; COMPARATIVE STUDY; EARLY DIAGNOSIS; MIDDLE AGED; PREDICTIVE VALUE; RENAL REPLACEMENT THERAPY; TIME; URINE;

ACUTE-PHASE PROTEINS; ADULT; AREA UNDER CURVE; BIOLOGICAL MARKERS; CLUSTERIN; CREATININE; DELAYED GRAFT FUNCTION; EARLY DIAGNOSIS; FEMALE; HUMANS; INTERLEUKIN-18; KIDNEY TRANSPLANTATION; LIPOCALINS; MALE; MIDDLE AGED; NEW SOUTH WALES; PREDICTIVE VALUE OF TESTS; PROSPECTIVE STUDIES; PROTO-ONCOGENE PROTEINS; RENAL DIALYSIS; ROC CURVE; TIME FACTORS;

EID: 84920269162     PISSN: 00411337     EISSN: None     Source Type: Journal    
DOI: 10.1097/TP.0000000000000256     Document Type: Article

References (41)

1. Butala NM, Reese PP, Doshi MD, et al. Is delayed graft function causally associated with long-term outcomes after kidney transplantation? Instrumental variable analysis. Transplantation 2013;95:1008.
2. Mallon DH, Summers DM, Bradley JA, et al. Defining delayed graft function after renal transplantation: simplest is best. Transplantation 2013;96:885.
3. Johnston O, O'Kelly P, Spencer S. Reduced graft function (with or without dialysis) vs immediate graft function - a comparison of long-term renal allograft survival. Nephrol Dial Transplant 2006;21:2270.
4. Rodrigo E, Ruiz JC, Piñera C, et al. Creatinine reduction ratio on posttransplant day two as criterion in defining delayed graft function. Am J Transplant 2004;4:1163.
5. Vilar E, VaragunamM, YaqoobMM, et al. Creatinine reduction ratio: a useful marker to identify medium and high-risk renal transplants. Transplantation 2010;89:97.
6. Yarlagadda SG, Coca SG, Formica RN, et al. Association between delayed graft function and allograft and patient survival: a systematic review and meta-analysis. Nephrol Dial Transplant 2009;24:1039.
7. Quiroga I, McShane P, Koo DDH, et al. Major effects of delayed graft function and cold ischaemia time on renal allograft survival. Nephrol Dial Transplant 2006;21:1689.
8. Moers C, Smits JM, Maathuis M-HJ, et al. Machine perfusion or cold storage in deceased-donor kidney transplantation. N Engl J Med 2009;360:7.
9. Humar A, Ramcharan T, Kandaswamy R, et al. Risk factors for slow graft function after kidney transplants: a multivariate analysis. Clin Transplant 2002;16:425.
10. Arnau A, Rodrigo E, Minambres E, et al. Prediction of kidney transplant outcome by donor quality scoring systems: expanded criteria donor and deceased donor score. Transplant Proc 2012;44:2555.
11. Endre ZHZ, Pickering JWJ. Acute kidney injury clinical trial design: old problems, new strategies. Pediatr Nephrol 2013;28:207.
12. Hall IE, Yarlagadda SG, Coca SG, et al. IL-18 and urinary NGAL predict dialysis and graft recovery after kidney transplantation. J Am Soc Nephrol 2010;21:189.
13. Kamiska D, Kocielska-Kasprzak K, Drulis-Fajdasz D, et al. Kidney ischemic injury genes expressed after donor brain death are predictive for the outcome of kidney transplantation. Transplant Proc 2011;43:2891.
14. Hall IE, Doshi MD, Poggio ED, et al. A comparison of alternative serum biomarkers with creatinine for predicting allograft function after kidney transplantation. Transplantation 2011;91:48.
15. Schröppel B, Krüger B, Walsh L. Tubular expression of KIM-1 does not predict delayed function after transplantation. J Am Soc Nephrol 2010;21:536.
16. Hollmen ME, Kyllönen LE, Inkinen KA, et al. Deceased donor neutrophil gelatinase-associated lipocalin and delayed graft function after kidney transplantation: a prospective study. Crit Care 2011;15:R121.
17. Dieterle F, Perentes E, Cordier A, et al. Urinary clusterin, cystatin C, 2-microglobulin and total protein as markers to detect drug-induced kidney injury. Nat Biotechnol 2010;28:463.
18. ZhouW, Guan Q, Kwan CCH, et al. Loss of clusterin expression worsens renal ischemia-reperfusion injury. Am J Physiol Renal Physiol 2010;298: F568.
19. Yoshida TT, Kurella MM, Beato FF, et al. Monitoring changes in gene expression in renal ischemia-reperfusion in the rat. Kidney Int 2002;61:1646.
20. Matheis K, Laurie D, Andriamandroso C, et al. A generic operational strategy to qualify translational safety biomarkers. Drug Discov Today 2011;16:600.
21. Pickering JW, Endre ZH. New metrics for assessing diagnostic potential of candidate biomarkers. Clin J Am Soc Nephrol 2012;7:1355.
22. Cook NRN. Use and misuse of the receiver operating characteristic curve in risk prediction. Circulation 2007;115:928.
23. Pencina MJ, D'Agostino RB, D'Agostino RB, et al. Evaluating the added predictive ability of a new marker: from area under the ROC curve to reclassification and beyond. Stat Med 2008;27:157.
24. Correa-Rotter RR, Hostetter THT, Nath KAK, et al. Interaction of complement and clusterin in renal injury. J Am Soc Nephrol 1992;3:1172.
25. Harpur E, Ennulat D, Hoffman D, et al. Biological qualification of biomarkers of chemical-induced renal toxicity in two strains of male rat. Toxicol Sci 2011;122:235.
26. Hidaka SS, Kränzlin BB, Gretz NN, et al. Urinary clusterin levels in the rat correlate with the severity of tubular damage and may help to differentiate between glomerular and tubular injuries. Cell Tissue Res 2002;310:289.
27. JungG-S, KimM-K, Jung Y-A, et al. Clusterin attenuates the development of renal fibrosis. J Am Soc Nephrol 2012;23:73.
28. Melnikov VY, Ecder T, Fantuzzi G, et al. Impaired IL-18 processing protects caspase-1-deficient mice from ischemic acute renal failure. J Clin Invest 2001;107:1145.
29. Melnikov VY, Faubel S, Siegmund B, et al. Neutrophil-independent mechanisms of caspase-1-and IL-18-mediated ischemic acute tubular necrosis in mice. J Clin Invest 2002;110:1083.
30. Hall IE, Doshi MD, Reese PP, et al. Association between peritransplant kidney injury biomarkers and 1-year allograft outcomes. Clin J Am Soc Nephrol 2012;7:1224.
31. Sirota JCJ, Walcher AA, Faubel SS, et al. Urine IL-18, NGAL, IL-8 and serum IL-8 are biomarkers of acute kidney injury following liver transplantation. BMC Nephrol 2012;14:17.
32. Ralib AM, Pickering JW, Shaw GM, et al. Test characteristics of urinary biomarkers depend on quantitation method in acute kidney injury. J Am Soc Nephrol 2012;23:322.
33. Endre ZH, Pickering JW. Biomarkers and creatinine in AKI: the trough of disillusionment or the slope of enlightenment? Kidney Int 2013;84:644.
34. Parikh CR, Han G. Variation in performance of kidney injury biomarkers due to cause of acute kidney injury. Am J Kidney Dis 2013;62:1023.
35. Suthanthiran M, Schwartz JE, Ding R, et al. Urinary-cell mRNA profile and acute cellular rejection in kidney allografts. N Engl J Med 2013;369:20.
36. Pickering JW, Ralib AM, Endre ZH. Combining creatinine and volume kinetics identifies missed cases of acute kidney injury following cardiac arrest. Crit Care 2013;17:R7.
37. Kidney Disease: Improving Global Outcomes (KDIGO) Transplant Work Group. KDIGO clinical practice guideline for the care of kidney transplant recipients. Am J Transplant 2009;9(Suppl 3): S1.
38. Pianta T, Buckley NA, Peake PW, et al. Clinical use of biomarkers for toxicant-induced acute kidney injury. Biomarkers Med 2013;7:441.
39. IrishWD, Ilsley JN, Schnitzler MA, et al. A risk predictionmodel for delayed graft function in the current era of deceased donor renal transplantation. Am J Transplant 2010;10:2279.
40. Parekh JJ, Bostrom AA, Feng SS. Diabetes mellitus: a risk factor for delayed graft function after deceased donor kidney transplantation. Am J Transplant 2010;10:298.
41. Lim WHW, Clayton PP, Wong GG, et al. Outcomes of kidney transplantation from older living donors. Transplantation 2013;95:106.