Korean J Transplant.  2023 Dec;37(4):250-259. 10.4285/kjt.23.0048.

Cell cycle arrest biomarkers for the early detection of acute allograft dysfunction and acute rejection in living donor kidney transplantation: a cross-sectional study from Egypt

Affiliations
  • 1Nephrology Unit, Department of Internal Medicine, Faculty of Medicine, Cairo University, Cairo, Egypt
  • 2Nasser Institute for Research and Treatment, Ministry of Health, Cairo, Egypt

Abstract

Background
Urinary tissue inhibitor of metalloproteinase-2 (TIMP-2) and insulin-like growth factor-binding protein 7 (IGFBP7) are G1 cell arrest biomarkers that have demonstrated accuracy and validity in predicting and diagnosing acute kidney injury (AKI). This study aimed to evaluate the validity of [TIMP-2]×[IGFBP7] in diagnosing acute allograft dysfunction and its utility in distinguishing acute rejection (AR) from nonrejection causes in kidney transplantation.
Methods
This study included 48 adult living donor kidney transplant recipients (KTRs; 18 with AR, 15 with nonrejection causes of AKI, and 15 with stable grafts). Urinary TIMP- 2 and IGFBP7 were measured, and [TIMP-2]×[IGFBP7] was calculated in all subjects.
Results
IGFBP7, TIMP-2, and [TIMP-2]×[IGFBP7] were statistically significantly higher in KTRs with acute allograft dysfunction than in those with stable grafts. [TIMP-2]×[IGFBP7] was statistically significantly higher in KTRs with AR than in those with nonrejection AKI. [TIMP-2]×[IGFBP7] at a cutoff level of 0.278 (ng/mL)2 /1,000 had an area under the curve (AUC) of 0.99 with a sensitivity of 100% and a specificity of 93.3% in diagnos-ing acute allograft dysfunction, while at a cutoff level of 0.803 (ng/mL)2 /1,000 had an AUC of 0.939 with a sensitivity of 94.4% and a specificity of 83.3% in diagnosing AR.
Conclusions
Besides its role in the early detection of acute allograft dysfunction, [TIMP-2]×[IGFBP7] may help to differentiate between AR and nonrejection causes in KTRs. However, whether and how urinary [TIMP-2]×[IGFBP7] can be used in clinical diagnosis still requires further research.

Keyword

Kidney transplantation; Urinary TIMP-2; Urinary IGFBP7; Acute allograft dysfunction; Acute rejection

Figure

  • Fig. 1 Urinary insulin-like growth factor-binding protein 7 (IGFBP7) and tissue inhibitor of metalloproteinase-2 (TIMP-2) in acute graft dysfunction and acute graft rejection in kidney transplant recipients (KTRs). (A) Urinary IGFBP7 level was higher in KTRs with acute allograft dysfunction than those with stable grafts, with mean±standard error (SE) 1.65±0.16 pg/mg creatinine, and 0.44±0.05 pg/mg creatinine, respectively (P<0.001). (B) Urinary TIMP-2 level was higher in KTRs with acute allograft dysfunction than those with stable grafts, with mean±SE 681.60±32.18 ng/mg creatinine, and 407.65±20.61 ng/mg creatinine, respectively (P<0.001). (C) [TIMP-2]×[IGFBP7] was higher in KTRs with acute allograft dysfunction than those with stable grafts, with mean±SE 1.08±0.10 (ng/mL)2/1,000, and 0.18±0.03 (ng/mL)2/1,000, respectively (P<0.001). (D) Urinary IGFBP7 level was significantly higher in KTRs with acute rejection (AR) than those with nonrejection acute kidney injury (AKI), with mean±SE 2.06±0.23 pg/mg creatinine, and 1.16±0.12 pg/mg creatinine, respectively (P<0.001). (E) Urinary TIMP-2 level was higher in KTRs with AR than those with nonrejection AKI, with mean±SE 722.33±39.53 ng/mg creatinine, and 632.81±51.18 ng/mg creatinine, respectively (P=0.169). (F) [TIMP-2]×[IGFBP7] was significantly higher in KTRs with AR than those with nonrejection AKI, with mean±SE 1.38±0.14 (ng/mL)2/1,000, and 0.70±0.07 (ng/mL)2/1,000, respectively (P<0.001).

  • Fig. 2 Receiver operating characteristic (ROC) curve analysis of insulin-like growth factor-binding protein 7 (IGFBP7), tissue inhibitor of metalloprotease-2 (TIMP-2), and [TIMP-2]×[IGFBP7] as markers of acute graft dysfunction. (A) IGFBP7 was able to diagnose acute allograft dysfunction with a sensitivity of 97.0%, specificity of 93.3%, and area under the curve (AUC) of 0.97 at a cutoff level of 0.65 pg/mg creatinine. (B) TIMP-2 was able to diagnose acute allograft dysfunction with a sensitivity of 69.7%, specificity of 100%, and AUC 0.91 at cutoff level 519.3 ng/mg creatinine. (C) The [TIMP-2]×[IGFBP7] at its cutoff level 0.278 (ng/mL)2/1,000 had a sensitivity of 100%, specificity of 93.3%, and AUC 0.99 in diagnosing acute graft dysfunction. (D) ROC curves analysis of IGFBP7, TIMP-2, and the [TIMP-2]×[IGFBP7] as markers of acute rejection. IGFBP7 was able to diagnose acute rejection with a sensitivity of 77.8%, specificity of 86.7%, and AUC 0.881 at a cutoff level of 1.3 pg/mg creatinine. (E) TIMP-2 was able to diagnose acute rejection with a sensitivity of 94.4%, specificity of 56.7%, and AUC 0.800 at a cutoff level of 439.1 ng/mg creatinine. (F) The [TIMP-2]×[IGFBP7] at its cutoff level 0.803 (ng/mL)2/1,000 had a sensitivity of 94.4%, specificity of 83.3%, and AUC 0.939 in diagnosing acute rejection. Red stars correspond to optimum criterion cut-off points.


Reference

1. Meier-Kriesche HU, Ojo AO, Hanson JA, Cibrik DM, Punch JD, Leichtman AB, et al. 2000; Increased impact of acute rejection on chronic allograft failure in recent era. Transplantation. 70:1098–100. DOI: 10.1097/00007890-200010150-00018. PMID: 11045649.
2. Opelz G. the Collaborative Transplant Study. 1997; Critical evaluation of the association of acute with chronic graft rejection in kidney and heart transplant recipients. Transplant Proc. 29:73–6. DOI: 10.1016/S0041-1345(96)00013-9. PMID: 9123162.
3. Tapia-Canelas C, Zometa R, López-Oliva MO, Jiménez C, Rivas B, Escuin F, et al. 2014; Complications associated with renal graft biopsy in transplant patients. Nefrologia. 34:115–9.
4. Oh DJ. 2020; A long journey for acute kidney injury biomarkers. Ren Fail. 42:154–65. DOI: 10.1080/0886022X.2020.1721300. PMID: 32050834. PMCID: PMC7034110.
5. Endre ZH, Pickering JW, Walker RJ, Devarajan P, Edelstein CL, Bonventre JV, et al. 2011; Improved performance of urinary biomarkers of acute kidney injury in the critically ill by stratification for injury duration and baseline renal function. Kidney Int. 79:1119–30. DOI: 10.1038/ki.2010.555. PMID: 21307838. PMCID: PMC3884688.
6. Yang L, Besschetnova TY, Brooks CR, Shah JV, Bonventre JV. 2010; Epithelial cell cycle arrest in G2/M mediates kidney fibrosis after injury. Nat Med. 16:535–43. DOI: 10.1038/nm.2144. PMID: 20436483. PMCID: PMC3928013.
7. Emlet DR, Pastor-Soler N, Marciszyn A, Wen X, Gomez H, Humphries WH 4th, et al. 2017; Insulin-like growth factor binding protein 7 and tissue inhibitor of metalloproteinases-2: differential expression and secretion in human kidney tubule cells. Am J Physiol Renal Physiol. 312:F284–96. DOI: 10.1152/ajprenal.00271.2016. PMID: 28003188. PMCID: PMC5336590.
8. Ortega LM, Heung M. 2018; The use of cell cycle arrest biomarkers in the early detection of acute kidney injury. Is this the new renal troponin? Nefrologia (Engl Ed). 38:361–7. DOI: 10.1016/j.nefro.2017.11.013. PMID: 29627229.
9. Fan W, Ankawi G, Zhang J, Digvijay K, Giavarina D, Yin Y, et al. 2019; Current understanding and future directions in the application of TIMP-2 and IGFBP7 in AKI clinical practice. Clin Chem Lab Med. 57:567–76. DOI: 10.1515/cclm-2018-0776. PMID: 30179848.
10. Edwards JK. 2015; How precise is NephroCheck®? Nat Rev Nephrol. 11:127. DOI: 10.1038/nrneph.2015.7. PMID: 25643663.
11. Loupy A, Haas M, Roufosse C, Naesens M, Adam B, Afrouzian M, et al. 2020; The Banff 2019 Kidney Meeting Report (I): updates on and clarification of criteria for T cell- and antibody-mediated rejection. Am J Transplant. 20:2318–31. DOI: 10.1111/ajt.15898. PMID: 32463180. PMCID: PMC7496245.
12. Kidney Disease: Improving Global Outcomes (KDIGO) Transplant Work Group. 2009; KDIGO clinical practice guideline for the care of kidney transplant recipients. Am J Transplant. 9 Suppl 3:S1–155. DOI: 10.1111/j.1600-6143.2009.02834.x. PMID: 19845597.
13. Glassock RJ. 2015; Con: kidney biopsy: an irreplaceable tool for patient management in nephrology. Nephrol Dial Transplant. 30:528–31. DOI: 10.1093/ndt/gfv044. PMID: 25801636.
14. Price PM, Safirstein RL, Megyesi J. 2009; The cell cycle and acute kidney injury. Kidney Int. 76:604–13. DOI: 10.1038/ki.2009.224. PMID: 19536080. PMCID: PMC2782725.
15. Pajenda S, Ilhan-Mutlu A, Preusser M, Roka S, Druml W, Wagner L. 2015; NephroCheck data compared to serum creatinine in various clinical settings. BMC Nephrol. 16:206. DOI: 10.1186/s12882-015-0203-5. PMID: 26651477. PMCID: PMC4674950.
16. Wang W, Saad A, Herrmann SM, Eirin Massat A, McKusick MA, Misra S, et al. 2016; Changes in inflammatory biomarkers after renal revascularization in atherosclerotic renal artery stenosis. Nephrol Dial Transplant. 31:1437–43. DOI: 10.1093/ndt/gfv448. PMID: 26908767. PMCID: PMC5009289.
17. Di Leo L, Nalesso F, Garzotto F, Xie Y, Yang B, Virzì GM, et al. 2018; Predicting acute kidney injury in intensive care unit patients: the role of tissue inhibitor of metalloproteinases-2 and insulin-like growth factor-binding protein-7 biomarkers. Blood Purif. 45:270–7. DOI: 10.1159/000485591. PMID: 29478052.
18. Bell M, Larsson A, Venge P, Bellomo R, Mårtensson J. 2015; Assessment of cell-cycle arrest biomarkers to predict early and delayed acute kidney injury. Dis Markers. 2015:158658. DOI: 10.1155/2015/158658. PMID: 25866432. PMCID: PMC4381987.
19. El Minshawy O, Khedr MH, Youssuf AM, Abo Elela M, Kamel FM, Keryakos HK. 2021; Value of the cell cycle arrest biomarkers in the diagnosis of pregnancy-related acute kidney injury. Biosci Rep. 41:BSR20200962. DOI: 10.1042/BSR20200962. PMID: 33295613. PMCID: PMC7786331.
20. Pianta TJ, Peake PW, Pickering JW, Kelleher M, Buckley NA, Endre ZH. 2015; Evaluation of biomarkers of cell cycle arrest and inflammation in prediction of dialysis or recovery after kidney transplantation. Transpl Int. 28:1392–404. DOI: 10.1111/tri.12636. PMID: 26174580.
21. Yang J, Lim SY, Kim MG, Jung CW, Cho WY, Jo SK. 2017; Urinary tissue inhibitor of metalloproteinase and insulin-like growth factor-7 as early biomarkers of delayed graft function after kidney transplantation. Transplant Proc. 49:2050–4. DOI: 10.1016/j.transproceed.2017.09.023. PMID: 29149959.
22. Lameire N, Vanmassenhove J, Van Biesen W, Vanholder R. 2016; The cell cycle biomarkers: promising research, but do not oversell them. Clin Kidney J. 9:353–8. DOI: 10.1093/ckj/sfw033. PMID: 27274818. PMCID: PMC4886923.
23. Wever PC, Aten J, Rentenaar RJ, Hack CE, Koopman G, Weening JJ, et al. 1998; Apoptotic tubular cell death during acute renal allograft rejection. Clin Nephrol. 49:28–34.
24. Hoste EA, McCullough PA, Kashani K, Chawla LS, Joannidis M, Shaw AD, et al. 2014; Derivation and validation of cutoffs for clinical use of cell cycle arrest biomarkers. Nephrol Dial Transplant. 29:2054–61. DOI: 10.1093/ndt/gfu292. PMID: 25237065. PMCID: PMC4209880.
25. Tinel C, Devresse A, Vermorel A, Sauvaget V, Marx D, Avettand-Fenoel V, et al. 2020; Development and validation of an optimized integrative model using urinary chemokines for noninvasive diagnosis of acute allograft rejection. Am J Transplant. 20:3462–76. DOI: 10.1111/ajt.15959. PMID: 32342614.
26. Muthukumar T, Dadhania D, Ding R, Snopkowski C, Naqvi R, Lee JB, et al. 2005; Messenger RNA for FOXP3 in the urine of renal-allograft recipients. N Engl J Med. 353:2342–51. DOI: 10.1056/NEJMoa051907. PMID: 16319383.
27. Li B, Hartono C, Ding R, Sharma VK, Ramaswamy R, Qian B, et al. 2001; Noninvasive diagnosis of renal-allograft rejection by measurement of messenger RNA for perforin and granzyme B in urine. N Engl J Med. 344:947–54. DOI: 10.1056/NEJM200103293441301. PMID: 11274620.
28. Ramirez-Sandoval JC, Herrington W, Morales-Buenrostro LE. 2015; Neutrophil gelatinase-associated lipocalin in kidney transplantation: a review. Transplant Rev (Orlando). 29:139–44. DOI: 10.1016/j.trre.2015.04.004. PMID: 26071983.
Full Text Links
  • KJT
Actions
Cited
CITED
export Copy
Close
Share
  • Twitter
  • Facebook
Similar articles
Copyright © 2024 by Korean Association of Medical Journal Editors. All rights reserved.     E-mail: koreamed@kamje.or.kr