Discovering novel injury features in kidney transplant biopsies associated with TCMR and donor aging

Philip F Halloran, Georg A Böhmig, Jonathan S Bromberg, Klemens Budde, Gaurav Gupta, Gunilla Einecke, Farsad Eskandary, Katelynn Madill-Thomsen, Jeff Reeve, INTERCOMEX investigators, Philip F Halloran, Georg A Böhmig, Jonathan S Bromberg, Klemens Budde, Gaurav Gupta, Gunilla Einecke, Farsad Eskandary, Katelynn Madill-Thomsen, Jeff Reeve, INTERCOMEX investigators

Abstract

We previously characterized the molecular changes in acute kidney injury (AKI) and chronic kidney disease (CKD) in kidney transplant biopsies, but parenchymal changes selective for specific types of injury could be missed by such analyses. The present study searched for injury changes beyond AKI and CKD related to specific scenarios, including correlations with donor age. We defined injury using previously defined gene sets and classifiers and used principal component analysis to discover new injury dimensions. As expected, Dimension 1 distinguished normal vs. injury, and Dimension 2 separated early AKI from late CKD, correlating with time posttransplant. However, Dimension 3 was novel, distinguishing a set of genes related to epithelial polarity (e.g., PARD3) that were increased in early AKI and decreased in T cell-mediated rejection (TCMR) but not in antibody-mediated rejection. Dimension 3 was increased in kidneys from older donors and was particularly important in survival of early kidneys. Thus high Dimension 3 scores emerge as a previously unknown element in the kidney response-to-injury that affects epithelial polarity genes and is increased in AKI but depressed in TCMR, indicating that in addition to general injury elements, certain injury elements are selective for specific pathologic mechanisms. (ClinicalTrials.gov NCT01299168).

Keywords: basic (laboratory) research/science; biopsy; kidney transplantation / nephrology; microarray/gene array; rejection; rejection: T cell mediated (TCMR); rejection: antibody-mediated (ABMR).

© 2020 The American Society of Transplantation and the American Society of Transplant Surgeons.

References

REFERENCES

    1. Halloran PF, Famulski KS, Reeve J. Molecular assessment of disease states in kidney transplant biopsy samples. Nat Rev Nephrol. 2016;12(9):534-548.
    1. Reeve J, Böhmig GA, Eskandary F, et al. Generating automated kidney transplant biopsy reports combining molecular measurements with ensembles of machine learning classifiers. Am J Transplant. 2019;19(10):2719-2731.
    1. Reeve J, Böhmig GA, Eskandary F, et al. Assessing rejection-related disease in kidney transplant biopsies based on archetypal analysis of molecular phenotypes. JCI Insight. 2017;2(12):e94197.
    1. Venner JM, Famulski KS, Reeve J, Chang J, Halloran PF. Relationships among injury, fibrosis, and time in human kidney transplants. JCI Insight. 2016;1(1):e85323.
    1. Einecke G, Reeve J, Gupta G, et al. Factors associated with kidney graft survival in pure antibody-mediated rejection at the time of indication biopsy: Importance of parenchymal injury but not disease activity. Am J Transplant. 2020.
    1. Famulski KS, Broderick G, Einecke G, et al. Transcriptome analysis reveals heterogeneity in the injury response of kidney transplants. Am J Transplant. 2007;7(11):2483-2495.
    1. Einecke G, Mengel M, Hidalgo LG, Allanach K, Famulski KS, Halloran PF. The early course of renal allograft rejection: Defining the time when rejection begins. Am J Transplant. 2009;9(3):483-493.
    1. Famulski KS, de Freitas DG, Kreepala C, et al. Molecular phenotypes of acute kidney injury in human kidney transplants. J Am Soc Nephrol. 2012;23(5):948-958.
    1. Fairchild RL, Bromberg JS. Molecular assassins from within: Intracellular DAMPs from injured cells initiate tissue inflammation. Am J Transplant. 2012;12(12):3169.
    1. Land WG, Agostinis P, Gasser S, Garg AD, Linkermann A. Transplantation and damage-associated molecular patterns (DAMPs). Am J Transplant. 2016;16(12):3338-3361.
    1. Risdon RA, Sloper JC, De Wardener HE. Relationship between renal function and histological changes found in renal-biopsy specimens from patients with persistent glomerular nephritis. Lancet. 1968;2(7564):363-366.
    1. Venkatachalam MA, Weinberg JM, Kriz W, Bidani AK. Failed tubule recovery, AKI-CKD transition, and kidney disease progression. J Am Soc Nephrol. 2015;26(8):1765-1776.
    1. Coca SG, Singanamala S, Parikh CR. Chronic kidney disease after acute kidney injury: A systematic review and meta-analysis. Kidney Int. 2012;81(5):442-448.
    1. Devarajan P, Jefferies JL. Progression of chronic kidney disease after acute kidney injury. Prog Pediatr Cardiol. 2016;41:33-40.
    1. Looker HC, Colombo M, Hess S, et al. Biomarkers of rapid chronic kidney disease progression in type 2 diabetes. Kidney Int. 2015;88(4):888-896.
    1. Ko GJ, Grigoryev DN, Linfert D, et al. Transcriptional analysis of kidneys during repair from AKI reveals possible roles for NGAL and KIM-1 as biomarkers of AKI-to-CKD transition. Am J Physiol Renal Physiol. 2010;298(6):F1472-F1483.
    1. Famulski KS, Reeve J, de Freitas DG, Kreepala C, Chang J, Halloran PF. Kidney transplants with progressing chronic diseases express high levels of acute kidney injury transcripts. Am J Transplant. 2013;13(3):634-644.
    1. Einecke G, Reeve J, Sis B, et al. A molecular classifier for predicting future graft loss in late kidney transplant biopsies. J Clin Invest. 2010;120(6):1862-1872.
    1. Famulski KS, Halloran PF. Letter to AJT editor re: Nankivell et al. Am J Transplant. 2018;18(3):765-766.
    1. Halloran PF, Matas A, Kasiske BL, Madill-Thomsen KS, Mackova M, Famulski KS. Molecular phenotype of kidney transplant indication biopsies with inflammation in scarred areas. Am J Transplant. 2019;19(5):1356-1370.
    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(7):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(1):169-178.
    1. Einecke G, Kayser D, Vanslambrouck JM, et al. Loss of solute carriers in T cell-mediated rejection in mouse and human kidneys: an active epithelial injury-repair response. Am J Transplant. 2010;10(10):2241-2251.
    1. Einecke G, Broderick G, Sis B, Halloran PF. Early loss of renal transcripts in kidney allografts: relationship to the development of histologic lesions and alloimmune effector mechanisms. Am J Transplant. 2007;7(5):1121-1130.
    1. Madill-Thomsen KS, Wiggins RC, Eskandary F, Bohmig GA, Halloran PF. The effect of cortex/medulla proportions on molecular diagnoses in kidney transplant biopsies: Rejection and injury can be assessed in medulla. Am J Transplant. 2017;17(8):2117-2128.
    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(1):28-41.
    1. Heil M, Land WG. Danger signals - damaged-self recognition across the tree of life. Front Plant Sci. 2014;5:578.
    1. Yu G, Wang LG, Han Y, He QY. clusterProfiler: An R package for comparing biological themes among gene clusters. Omics. 2012;16(5):284-287.
    1. RCT. R: a language and environment for statistical computing. Vienna, Austria: R Foundation for statistical Computing; 2019. Accessed July 15, 2020.
    1. Harrell FE Jr, rms. Regression Modeling Strategies. R package version 6.0-0. . 2020.
    1. Ishwaran H, Kogalur UB.Fast Unified Random Forests for Survival, Regression, and Classification (RF-SRC). 2.9.1 ed2019. Accessed July 16, 2020.
    1. Halloran PF, Reeve J, Aliabadi AZ, et al. Exploring the cardiac response to injury in heart transplant biopsies. JCI Insight. 2018;3(20):e123674.
    1. Megyesi J, Andrade L, Vieira JM Jr, Safirstein RL, Price PM. Coordination of the cell cycle is an important determinant of the syndrome of acute renal failure. Am J Physiol Renal Physiol. 2002;283(4):F810-F816.
    1. Price PM, Safirstein RL, Megyesi J. The cell cycle and acute kidney injury. Kidney Int. 2009;76(6):604-613.
    1. Takekuni K, Ikeda W, Fujito T, et al. Direct binding of cell polarity protein PAR-3 to cell-cell adhesion molecule nectin at neuroepithelial cells of developing mouse. J Biol Chem. 2003;278(8):5497-5500.
    1. Kohjima M, Noda Y, Takeya R, Saito N, Takeuchi K, Sumimoto H. PAR3beta, a novel homologue of the cell polarity protein PAR3, localizes to tight junctions. Biochem Biophys Res Commun. 2002;299(4):641-646.
    1. Ebnet K, Aurrand-Lions M, Kuhn A, et al. The junctional adhesion molecule (JAM) family members JAM-2 and JAM-3 associate with the cell polarity protein PAR-3: a possible role for JAMs in endothelial cell polarity. J Cell Sci. 2003;116(Pt 19):3879-3891.
    1. Joberty G, Petersen C, Gao L, Macara IG. The cell-polarity protein Par6 links Par3 and atypical protein kinase C to Cdc42. Nat Cell Biol. 2000;2(8):531-539.
    1. Akchurin O, Du Z, Ramkellawan N, et al. Partitioning-defective 1a/b depletion impairs glomerular and proximal tubule development. J Am Soc Nephrol. 2016;27(12):3725-3737.
    1. Dugay F, Le Goff X, Rioux-Leclerq N, et al. Overexpression of the polarity protein PAR-3 in clear cell renal cell carcinoma is associated with poor prognosis. Int J Cancer. 2014;134(9):2051-2060.
    1. Einecke G, Fairhead T, Hidalgo LG, et al. Tubulitis and epithelial cell alterations in mouse kidney transplant rejection are independent of CD103, perforin or granzymes A/B. Am J Transplant. 2006;6(9):2109-2120.
    1. Halloran PF, Perkowska-Ptasinska A, INTERCOMEX Study Group. The changing face of T cell-mediated rejection in kidney transplants: The importance of late TCMR. Am J Transplant. 2019;19(S3):501.

Source: PubMed

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