Relating Molecular T Cell-mediated Rejection Activity in Kidney Transplant Biopsies to Time and to Histologic Tubulitis and Atrophy-fibrosis

Katelynn S Madill-Thomsen, Georg A Böhmig, Jonathan Bromberg, Gunilla Einecke, Farsad Eskandary, Gaurav Gupta, Marek Myslak, Ondrej Viklicky, Agnieszka Perkowska-Ptasinska, Kim Solez, Philip F Halloran, the INTERCOMEX Investigators, Katelynn S Madill-Thomsen, Georg A Böhmig, Jonathan Bromberg, Gunilla Einecke, Farsad Eskandary, Gaurav Gupta, Marek Myslak, Ondrej Viklicky, Agnieszka Perkowska-Ptasinska, Kim Solez, Philip F Halloran, the INTERCOMEX Investigators

Abstract

Background: We studied the variation in molecular T cell-mediated rejection (TCMR) activity in kidney transplant indication biopsies and its relationship with histologic lesions (particularly tubulitis and atrophy-fibrosis) and time posttransplant.

Methods: We examined 175 kidney transplant biopsies with molecular TCMR as defined by archetypal analysis in the INTERCOMEX study ( ClinicalTrials.gov #NCT01299168). TCMR activity was defined by a molecular classifier.

Results: Archetypal analysis identified 2 TCMR classes, TCMR1 and TCMR2: TCMR1 had higher TCMR activity and more antibody-mediated rejection ("mixed") activity and arteritis but little hyalinosis, whereas TCMR2 had less TCMR activity but more atrophy-fibrosis. TCMR1 and TCMR2 had similar levels of molecular injury and tubulitis. Both TCMR1 and TCMR2 biopsies were uncommon after 2 y posttransplant and were rare after 10 y, particularly TCMR1. Within late TCMR biopsies, TCMR classifier activity and activity molecules such as IFNG fell progressively with time, but tubulitis and molecular injury were sustained. Atrophy-fibrosis was increased in TCMR biopsies, even in the first year posttransplant, and rose with time posttransplant. TCMR1 and TCMR2 both reduced graft survival, but in random forests, the strongest determinant of survival after biopsies with TCMR was molecular injury, not TCMR activity.

Conclusions: TCMR varies in intensity but is always strongly related to molecular injury and atrophy-fibrosis, which ultimately explains its effect on survival. We hypothesize, based on the reciprocal relationship with hyalinosis, that the TCMR1-TCMR2 gradient reflects calcineurin inhibitor drug underexposure, whereas the time-dependent decline in TCMR activity and frequency after the first year reflects T-cell exhaustion.

Conflict of interest statement

P.F.H. holds shares in Transcriptome Sciences Inc (TSI), a University of Alberta research company dedicated to developing molecular diagnostics, and is supported in part by a licensing agreement between TSI and Thermo Fisher and by a research grant from Natera. P.F.H. is a consultant to Natera. The other authors declare no conflicts of interest.

Copyright © 2022 The Author(s). Published by Wolters Kluwer Health, Inc.

Figures

FIGURE 1.
FIGURE 1.
Research plan. AMR, antibody-mediated rejection; PCA, principal component analysis; TCMR, T cell–mediated rejection.
FIGURE 2.
FIGURE 2.
Visualizing TCMR1 and TCMR2 archetypal groups. The 1679 biopsies are shown distributed by their rejection classifiers scores in PCA and colored by their archetype assignment, with y-axis PC2 and x-axis (A) PC1, and (B) PC3. A, TCMR1 and TCMR2 show a gradient across PC1, and TCMR1 is lower than TCMR2 in PC2. B, PC3 separates AMR stages but does not separate TCMR1 and TCMR2. C, TCMR1 and TCMR2 biopsies distributed by their AMR activity (y-axis, AMRProb classifier scores) vs their TCMR activity (x-axis, TCMRProb classifier scores). AMR activity was correlated with TCMR activity (Spearman correlation coefficient = 0.35, P = 1.8E–6). The biopsies from DSA-positive patients are indicated. AMR, antibody-mediated rejection; AMRProb, AMR-probability classifier; EAMR, early-stage molecular AMR; FAMR, fully developed molecular AMR; LAMR, late-stage molecular AMR; NR, no rejection; PC1, principal component 1; PC2, principal component 2; PC3, principal component 3; PCA, principal component analysis; TCMR, T cell–mediated rejection; TCMRProb, TCMR-probability classifier.
FIGURE 3.
FIGURE 3.
Rolling averages for the relationships between time posttransplant and the TCMR molecular classes and features in 1679 biopsies. Rolling averages over time posttransplant (A) showing the proportion of biopsies assigned TCMR1 and TCMR2 archetypes and (B) showing the TCMR-related classifier scores. (C) IFNG expression in archetype clusters over time posttransplant (shown as a linear scale). EAMR, early-stage molecular AMR; FAMR, fully developed molecular AMR; LAMR, late-stage molecular AMR; NR, no rejection; TCMR, T cell–mediated rejection.
FIGURE 4.
FIGURE 4.
Relationships between time posttransplant and the moving average scores for molecular and histologic features of the biopsies. Two biopsies were missing date of transplant and were excluded from the time courses. (A) Molecular features and TCMR-associated gene expression within 175 TCMR biopsies. (B) Histologic lesions within 175 TCMR biopsies. (C) The probability of ci lesion scores >1 per archetype group over time posttransplant, as calculated in logistic regression. AMR, antibody-mediated rejection; pAMR, possible antibody-mediated rejection; TCMR, T cell–mediated rejection; pTCMR, possible T cell–mediated rejection.
FIGURE 5.
FIGURE 5.
Survival analysis during 3 y postbiopsy (days), with 1 random biopsy per patient. (A) Actuarial survival curves by archetype group. (B) Random forests showing the variable importance (including molecular and histologic features) in the prediction of 3 y postbiopsy graft survival. TCMR, T cell–mediated rejection.

References

    1. Halloran PF. Immunosuppressive drugs for kidney transplantation. N Engl J Med. 2004;351:2715–2729.
    1. Ekberg H, Tedesco-Silva H, Demirbas A, et al. ; ELITE-Symphony Study. Reduced exposure to calcineurin inhibitors in renal transplantation. N Engl J Med. 2007;357:2562–2575.
    1. Einecke G, Sis B, Reeve J, et al. . Antibody-mediated microcirculation injury is the major cause of late kidney transplant failure. Am J Transplant. 2009;9:2520–2531.
    1. Madill-Thomsen K, Perkowska-Ptasińska A, Böhmig GA, et al. ; MMDx-Kidney Study Group. Discrepancy analysis comparing molecular and histology diagnoses in kidney transplant biopsies. Am J Transplant. 2020;20:1341–1350.
    1. Rampersad C, Balshaw R, Gibson IW, et al. . The negative impact of T cell-mediated rejection on renal allograft survival in the modern era. Am J Transplant. 2022;22:761–771.
    1. Cosio FG, Lager DJ, Lorenz EC, et al. . Significance and implications of capillaritis during acute rejection of kidney allografts. Transplantation. 2010;89:1088–1094.
    1. Sellarés J, de Freitas DG, Mengel M, et al. . Understanding the causes of kidney transplant failure: the dominant role of antibody-mediated rejection and nonadherence. Am J Transplant. 2012;12:388–399.
    1. Hricik DE, Formica RN, Nickerson P, et al. ; Clinical Trials in Organ Transplantation-09 Consortium. Adverse outcomes of tacrolimus withdrawal in immune-quiescent kidney transplant recipients. J Am Soc Nephrol. 2015;26:3114–3122.
    1. Halloran PF, Madill-Thomsen KS, Böhmig GA, et al. ; INTERCOMEX Investigators. A 2-fold approach to polyoma virus (BK) nephropathy in kidney transplants: distinguishing direct virus effects from cognate T cell-mediated inflammation. Transplantation. 2021;105:2374–2384.
    1. Einecke G, Reeve J, Halloran PF. Hyalinosis lesions in renal transplant biopsies: time-dependent complexity of interpretation. Am J Transplant. 2017;17:1346–1357.
    1. Einecke G, Reeve J, Halloran PF. A molecular biopsy test based on arteriolar under-hyalinosis reflects increased probability of rejection related to under-immunosuppression. Am J Transplant. 2018;18:821–831.
    1. Halloran PF, Chang J, Famulski K, et al. . Disappearance of T cell-mediated rejection despite continued antibody-mediated rejection in late kidney transplant recipients. J Am Soc Nephrol. 2015;26:1711–1720.
    1. Burke JF, Jr, Pirsch JD, Ramos EL, et al. . Long-term efficacy and safety of cyclosporine in renal-transplant recipients. N Engl J Med. 1994;331:358–363.
    1. Meier-Kriesche HU, Steffen BJ, Hochberg AM, et al. . Long-term use of mycophenolate mofetil is associated with a reduction in the incidence and risk of late rejection. Am J Transplant. 2003;3:68–73.
    1. Ooi BS, Jao W, First MR, et al. . Acute interstitial nephritis. A clinical and pathologic study based on renal biopsies. Am J Med. 1975;59:614–628.
    1. Sibley RK, Rynasiewicz J, Ferguson RM, et al. . Morphology of cyclosporine nephrotoxicity and acute rejection in patients immunosuppressed with cyclosporine and prednisone. Surgery. 1983;94:225–234.
    1. Verani RR, Flechner SM, Van Buren CT, et al. . Acute cellular rejection or cyclosporine a nephrotoxicity? A review of transplant renal biopsies. Am J Kidney Dis. 1984;4:185–191.
    1. Beschorner WE, Burdick JF, Williams GM, et al. . The presence of leu-7 reactive lymphocytes in renal-allografts undergoing acute rejection. Transplant Proc. 1985;17:618–622.
    1. Solez K, Axelsen RA, Benediktsson H, et al. . International standardization of criteria for the histologic diagnosis of renal allograft rejection: the Banff working classification of kidney transplant pathology. Kidney Int. 1993;44:411–422.
    1. Salazar ID, Merino López M, Chang J, et al. . Reassessing the significance of intimal arteritis in kidney transplant biopsy specimens. J Am Soc Nephrol. 2015;26:3190–3198.
    1. Reeve J, Böhmig GA, Eskandary F, et al. ; MMDx-Kidney study group. Assessing rejection-related disease in kidney transplant biopsies based on archetypal analysis of molecular phenotypes. JCI Insight. 2017;2:94197.
    1. Halloran PF, Madill-Thomsen KS, Pon S, et al. ; INTERCOMEX Investigators. Molecular diagnosis of ABMR with or without donor-specific antibody in kidney transplant biopsies: differences in timing and intensity but similar mechanisms and outcomes. Am J Transplant. 2022;22:1976–1991.
    1. Reeve J, Sellarés J, Mengel M, et al. . Molecular diagnosis of T cell-mediated rejection in human kidney transplant biopsies. Am J Transplant. 2013;13:645–655.
    1. Venner JM, Famulski KS, Badr D, et al. . Molecular landscape of T cell-mediated rejection in human kidney transplants: prominence of CTLA4 and PD ligands. Am J Transplant. 2014;14:2565–2576.
    1. Madill-Thomsen KS, Böhmig GA, Bromberg J, et al. ; INTERCOMEX Investigators. Donor-specific antibody is associated with increased expression of rejection transcripts in renal transplant biopsies classified as no rejection. J Am Soc Nephrol. 2021;32:2743–2758.
    1. Halloran PF, Reeve J, Akalin E, et al. . Real time central assessment of kidney transplant indication biopsies by microarrays: the INTERCOMEX study. Am J Transplant. 2017;17:2851–2862.
    1. Reeve J, Böhmig GA, Eskandary F, et al. ; INTERCOMEX MMDx-Kidney Study Group. Generating automated kidney transplant biopsy reports combining molecular measurements with ensembles of machine learning classifiers. Am J Transplant. 2019;19:2719–2731.
    1. Reeve J, Madill-Thomsen KS, Halloran PF, et al. . Using ensembles of machine learning classifiers to maximize the accuracy and stability of molecular biopsy interpretation. Am J Transplant. 2019;19(S3): 452–453.
    1. Lê S, Josse J, Husson F. FactoMineR: AnRPackage for multivariate analysis. J Stat Software. 2008;25:18.
    1. Smythe GK. limma: linear models for microarray data. Gentleman RHW, Carey VJ, Irizarry RA, Dudoit S, eds. In: Bioinformatics and Computational Biology Solutions using R and Bioconductor. Springer; 2005:398–420.
    1. Therneau T. A package for survival analysis in R. Published 2020. Available at . Accessed March 1, 2022.
    1. Harrell F. E., Jr. rms: regression modeling strategies. R package version 6.0-0. 2020. Available at [computer program]. Accessed March 6, 2022.
    1. Venner JM, Famulski KS, Reeve J, et al. . Relationships among injury, fibrosis, and time in human kidney transplants. JCI Insight. 2016;1:e85323.
    1. Einecke G, Reeve J, Mengel M, et al. . Expression of B cell and immunoglobulin transcripts is a feature of inflammation in late allografts. Am J Transplant. 2008;8:1434–1443.
    1. Mengel M, Reeve J, Bunnag S, et al. . Molecular correlates of scarring in kidney transplants: the emergence of mast cell transcripts. Am J Transplant. 2009;9:169–178.
    1. Shoji K, Murayama T, Mimura I, et al. . Sperm-associated antigen 4, a novel hypoxia-inducible factor 1 target, regulates cytokinesis, and its expression correlates with the prognosis of renal cell carcinoma. Am J Pathol. 2013;182:2191–2203.
    1. Reeve J, Einecke G, Mengel M, et al. . Diagnosing rejection in renal transplants: a comparison of molecular- and histopathology-based approaches. Am J Transplant. 2009;9:1802–1810.
    1. Hirsch HH, Brennan DC, Drachenberg CB, et al. . Polyomavirus-associated nephropathy in renal transplantation: interdisciplinary analyses and recommendations. Transplantation. 2005;79:1277–1286.
    1. Johnston O, Jaswal D, Gill JS, et al. . Treatment of polyomavirus infection in kidney transplant recipients: a systematic review. Transplantation. 2010;89:1057–1070.
    1. Masutani K, Shapiro R, Basu A, et al. . Putative episodes of T-cell-mediated rejection in patients with sustained BK viruria but no viremia. Transplantation. 2012;94:43–49.
    1. Schmid H, Nitschko H, Gerth J, et al. . Polyomavirus DNA and RNA detection in renal allograft biopsies: results from a European multicenter study. Transplantation. 2005;80:600–604.
    1. Stervbo U, Nienen M, Hecht J, et al. . Differential diagnosis of interstitial allograft rejection and BKV nephropathy by T-cell receptor sequencing. Transplantation. 2020;104:e107–e108.
    1. Trydzenskaya H, Sattler A, Müller K, et al. . Novel approach for improved assessment of phenotypic and functional characteristics of BKV-specific T-cell immunity. Transplantation. 2011;92:1269–1277.
    1. Loupy A, Haas M, Solez K, et al. . The banff 2015 kidney meeting report: current challenges in rejection classification and prospects for adopting molecular pathology. Am J Transplant. 2017;17:28–41.
    1. Halloran PF, Chang J, Famulski KS. Inflammation in scarred areas (i-IFTA) is a reflection of parenchymal injury (response to wounding) not T cell-mediated rejection. Am J Transplant. 2018;18(S4): 328–328.
    1. Halloran PF, Matas A, Kasiske BL, et al. . Molecular phenotype of kidney transplant indication biopsies with inflammation in scarred areas. Am J Transplant. 2019;19:1356–1370.
    1. Helgeson ES, Mannon R, Grande J, et al. . i-IFTA and chronic active T cell-mediated rejection: a tale of 2 (DeKAF) cohorts. Am J Transplant. 2021;21:1866–1877.
    1. Haas M, Loupy A, Lefaucheur C, et al. . The Banff 2017 kidney meeting report: revised diagnostic criteria for chronic active T cell-mediated rejection, antibody-mediated rejection, and prospects for integrative endpoints for next-generation clinical trials. Am J Transplant. 2018;18:293–307.
    1. Naesens M, Haas M, Loupy A, et al. . Does the definition of chronic active T cell-mediated rejection need revisiting? Am J Transplant. 2021;21:1689–1690.
    1. Nankivell BJ, Shingde M, Keung KL, et al. . The causes, significance and consequences of inflammatory fibrosis in kidney transplantation: the Banff i-IFTA lesion. Am J Transplant. 2017;18:364–376.
    1. Lefaucheur C, Gosset C, Rabant M, et al. . T cell-mediated rejection is a major determinant of inflammation in scarred areas in kidney allografts. Am J Transplant. 2018;18:377–390.
    1. Manohar S, Thongprayoon C, Cheungpasitporn W, et al. . Systematic review of the safety of immune checkpoint inhibitors among kidney transplant patients. Kidney Int Rep. 2020;5:149–158.
    1. Abdel-Wahab N, Safa H, Abudayyeh A, et al. . Checkpoint inhibitor therapy for cancer in solid organ transplantation recipients: an institutional experience and a systematic review of the literature. J Immunother Cancer. 2019;7:106.
    1. Mroue A, Moujaess E, Kourie HR, et al. . Exploring the knowledge gap of immune checkpoint inhibitors in chronic renal failure: a systematic review of the literature. Crit Rev Oncol Hematol. 2021;157:103169.
    1. Adam BA, Murakami N, Reid G, et al. . Gene expression profiling in kidney transplants with immune checkpoint inhibitor-associated adverse events. Clin J Am Soc Nephrol. 2021;16:1376–1386.
    1. Mejia CD, Frank AM, Singh P, et al. . Immune checkpoint inhibitor therapy-associated graft intolerance syndrome in a failed kidney transplant recipient. Am J Transplant. 2021;21:1322–1325.
    1. Nguyen LS, Ortuno S, Lebrun-Vignes B, et al. . Transplant rejections associated with immune checkpoint inhibitors: a pharmacovigilance study and systematic literature review. Eur J Cancer. 2021;148:36–47.
    1. Venkatachalam K, Malone AF, Heady B, et al. . Poor outcomes with the use of checkpoint inhibitors in kidney transplant recipients. Transplantation. 2020;104:1041–1047.
    1. Jose A, Yiannoullou P, Bhutani S, et al. . Renal allograft failure after ipilimumab therapy for metastatic melanoma: a case report and review of the literature. Transplant Proc. 2016;48:3137–3141.
    1. Lesouhaitier M, Dudreuilh C, Tamain M, et al. . Checkpoint blockade after kidney transplantation. Eur J Cancer. 2018;96:111–114.
    1. Zwald FO. Transplant-associated cancer in the era of immune checkpoint inhibitors: primum non nocere. Am J Transplant. 2020;20:2299–2300.
    1. d’Izarny-Gargas T, Durrbach A, Zaidan M. Efficacy and tolerance of immune checkpoint inhibitors in transplant patients with cancer: a systematic review. Am J Transplant. 2020;20:2457–2465.
    1. Lipson EJ, Bagnasco SM, Moore J, Jr, et al. . Tumor regression and allograft rejection after administration of anti-PD-1. N Engl J Med. 2016;374:896–898.
    1. Im SJ, Ha SJ. Re-defining T-cell exhaustion: subset, function, and regulation. Immune Netw. 2020;20:e2.
    1. Blank CU, Haining WN, Held W, et al. . Defining ‘T cell exhaustion’. Nat Rev Immunol. 2019;19:665–674.
    1. Naik S, Larsen SB, Gomez NC, et al. . Inflammatory memory sensitizes skin epithelial stem cells to tissue damage. Nature. 2017;550:475–480.
    1. Halloran PF, Reeve J, Madill-Thomsen KS, et al. ; Trifecta Investigators. The trifecta study: comparing plasma levels of donor-derived cell-free DNA with the molecular phenotype of kidney transplant biopsies. J Am Soc Nephrol. 2022;33:387–400.
    1. Gupta G, Moinuddin I, Kamal L, et al. . Correlation of donor-derived cell-free DNA with histology and molecular diagnoses of kidney transplant biopsies. Transplantation. 2022;106:1061–1070.
    1. Xiao H, Gao F, Pang Q, et al. . Diagnostic accuracy of donor-derived cell-free DNA in renal-allograft rejection: a meta-analysis. Transplantation. 2021;105:1303–1310.
    1. Halloran PF. T cell-mediated rejection of kidney transplants: a personal viewpoint. Am J Transplant. 2010;10:1126–1134.
    1. Furness PN, Taub N; Convergence of European Renal Transplant Pathology Assessment Procedures (CERTPAP) Project. International variation in the interpretation of renal transplant biopsies: report of the CERTPAP project. Kidney Int. 2001;60:1998–2012.

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