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
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
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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: |
Date | Event |
---|
December 2016 | Published | 21 June 2016 | Published Online | 8 June 2016 | Accepted |
|
Publisher License: |
Creative Commons: Attribution 4.0 |
Projects: |
|
PubMed ID: |
27328267 |
Web of Science ID: |
WOS:000388208600016 |
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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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