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Biomarkers of Tolerance in Kidney Transplantation: Are We Predicting Tolerance or Response to Immunosuppressive Treatment?

Rebollo-Mesa, I; Nova-Lamperti, E; Mobillo, P; Runglall, M; Christakoudi, S; Norris, S; Smallcombe, N; Kamra, Y; Hilton, R; Indices of Tolerance EU Consortium, ; et al. Rebollo-Mesa, I; Nova-Lamperti, E; Mobillo, P; Runglall, M; Christakoudi, S; Norris, S; Smallcombe, N; Kamra, Y; Hilton, R; Indices of Tolerance EU Consortium; Bhandari, S; Baker, R; Berglund, D; Carr, S; Game, D; Griffin, S; Kalra, PA; Lewis, R; Mark, PB; Marks, S; Macphee, I; McKane, W; Mohaupt, MG; Pararajasingam, R; Kon, SP; Serón, D; Sinha, MD; Tucker, B; Viklický, O; Lechler, RI; Lord, GM; Hernandez-Fuentes, MP (2016) Biomarkers of Tolerance in Kidney Transplantation: Are We Predicting Tolerance or Response to Immunosuppressive Treatment? Am J Transplant, 16 (12). pp. 3443-3457. ISSN 1600-6143 https://doi.org/10.1111/ajt.13932
SGUL Authors: MacPhee, Iain Angus MacGregor

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Abstract

We and others have previously described signatures of tolerance in kidney transplantation showing the differential expression of B cell-related genes and the relative expansions of B cell subsets. However, in all of these studies, the index group-namely, the tolerant recipients-were not receiving immunosuppression (IS) treatment, unlike the rest of the comparator groups. We aimed to assess the confounding effect of these regimens and develop a novel IS-independent signature of tolerance. Analyzing gene expression in three independent kidney transplant patient cohorts (232 recipients and 14 tolerant patients), we have established that the expression of the previously reported signature was biased by IS regimens, which also influenced transitional B cells. We have defined and validated a new gene expression signature that is independent of drug effects and also differentiates tolerant patients from healthy controls (cross-validated area under the receiver operating characteristic curve [AUC] = 0.81). In a prospective cohort, we have demonstrated that the new signature remained stable before and after steroid withdrawal. In addition, we report on a validated and highly accurate gene expression signature that can be reliably used to identify patients suitable for IS reduction (approximately 12% of stable patients), irrespective of the IS drugs they are receiving. Only a similar approach will make the conduct of pilot clinical trials for IS minimization safe and hence allow critical improvements in kidney posttransplant management.

Item Type: Article
Additional Information: This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
Keywords: biomarker, immunobiology, kidney (allograft) function/dysfunction, kidney transplantation/nephrology, molecular biology, tolerance, translational research/science, Indices of Tolerance EU Consortium, Surgery, 11 Medical And Health Sciences
SGUL Research Institute / Research Centre: Academic Structure > Institute of Medical & Biomedical Education (IMBE)
Journal or Publication Title: Am J Transplant
ISSN: 1600-6143
Language: eng
Dates:
DateEvent
December 2016Published
21 June 2016Published Online
8 June 2016Accepted
Publisher License: Creative Commons: Attribution 4.0
Projects:
Project IDFunderFunder ID
MR/J006742/1Medical Research Councilhttp://dx.doi.org/10.13039/501100000265
G0801537/ID: 8824Medical Research Councilhttp://dx.doi.org/10.13039/501100000265
PubMed ID: 27328267
Web of Science ID: WOS:000388208600016
Go to PubMed abstract
URI: https://openaccess.sgul.ac.uk/id/eprint/108710
Publisher's version: https://doi.org/10.1111/ajt.13932

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