PD1-expressing T cell subsets modify the rejection risk in renal transplant patients
We tested whether multi-parameter immune phenotyping before or after renal transplantation can predict the risk of rejection episodes. Blood samples collected before, and weekly for 3 months after transplantation were analyzed by multi-parameter flow-cytometry to define 52 T cell and 13 innate lymph...
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doaj-e30faa81520b42789220e45fe35928ee2020-11-25T02:27:04ZengFrontiers Media S.A.Frontiers in Immunology1664-32242016-04-01710.3389/fimmu.2016.00126186825PD1-expressing T cell subsets modify the rejection risk in renal transplant patientsRebecca ePike0Niclas eThomas1Sarita eWorkman2Lyn eAmbrose3David eGuzman4Shivajanani eSivakumaran5Margaret eJohnson6Margaret eJohnson7Douglas eThorburn8Douglas eThorburn9Mark Alan Harber10Mark Alan Harber11Benny eChain12Hans J Stauss13Hans J Stauss14University College LondonUniversity College LondonRoyal Free London NHS Foundation TrustUniversity College LondonUniversity College LondonUniversity College LondonUniversity College LondonRoyal Free London NHS Foundation TrustUniversity College LondonRoyal Free London NHS Foundation TrustUniversity College LondonRoyal Free London NHS Foundation TrustUniversity College LondonUniversity College LondonRoyal Free London NHS Foundation TrustWe tested whether multi-parameter immune phenotyping before or after renal transplantation can predict the risk of rejection episodes. Blood samples collected before, and weekly for 3 months after transplantation were analyzed by multi-parameter flow-cytometry to define 52 T cell and 13 innate lymphocyte subsets in each sample, producing more than 11,000 data points that defined the immune status of the 28 patients included in this study. Principle component analysis suggested that the patients with histologically confirmed rejection episodes segregated from those without rejection. Protein death 1 (PD-1)-expressing subpopulations of regulatory and conventional T cells had the greatest influence on the principal component segregation. We constructed a statistical tool to predict rejection using a support vector machine algorithm. The algorithm correctly identified 7 out of 9 patients with rejection, and 14 out of 17 patients without rejection. The immune profile before transplantation was most accurate in determining the risk of rejection, while changes of immune parameters after transplantation were less accurate in discriminating rejection from non-rejection. The data indicate that pre-transplant immune subset analysis has the potential to identify patients at risk of developing rejection episodes, and suggests that the proportion of PD1-expressing T cell subsets may be a key indicator of rejection risk.http://journal.frontiersin.org/Journal/10.3389/fimmu.2016.00126/fullTransplantation ImmunologyT cellsRisk factorsrejectionPD-1 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Rebecca ePike Niclas eThomas Sarita eWorkman Lyn eAmbrose David eGuzman Shivajanani eSivakumaran Margaret eJohnson Margaret eJohnson Douglas eThorburn Douglas eThorburn Mark Alan Harber Mark Alan Harber Benny eChain Hans J Stauss Hans J Stauss |
spellingShingle |
Rebecca ePike Niclas eThomas Sarita eWorkman Lyn eAmbrose David eGuzman Shivajanani eSivakumaran Margaret eJohnson Margaret eJohnson Douglas eThorburn Douglas eThorburn Mark Alan Harber Mark Alan Harber Benny eChain Hans J Stauss Hans J Stauss PD1-expressing T cell subsets modify the rejection risk in renal transplant patients Frontiers in Immunology Transplantation Immunology T cells Risk factors rejection PD-1 |
author_facet |
Rebecca ePike Niclas eThomas Sarita eWorkman Lyn eAmbrose David eGuzman Shivajanani eSivakumaran Margaret eJohnson Margaret eJohnson Douglas eThorburn Douglas eThorburn Mark Alan Harber Mark Alan Harber Benny eChain Hans J Stauss Hans J Stauss |
author_sort |
Rebecca ePike |
title |
PD1-expressing T cell subsets modify the rejection risk in renal transplant patients |
title_short |
PD1-expressing T cell subsets modify the rejection risk in renal transplant patients |
title_full |
PD1-expressing T cell subsets modify the rejection risk in renal transplant patients |
title_fullStr |
PD1-expressing T cell subsets modify the rejection risk in renal transplant patients |
title_full_unstemmed |
PD1-expressing T cell subsets modify the rejection risk in renal transplant patients |
title_sort |
pd1-expressing t cell subsets modify the rejection risk in renal transplant patients |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Immunology |
issn |
1664-3224 |
publishDate |
2016-04-01 |
description |
We tested whether multi-parameter immune phenotyping before or after renal transplantation can predict the risk of rejection episodes. Blood samples collected before, and weekly for 3 months after transplantation were analyzed by multi-parameter flow-cytometry to define 52 T cell and 13 innate lymphocyte subsets in each sample, producing more than 11,000 data points that defined the immune status of the 28 patients included in this study. Principle component analysis suggested that the patients with histologically confirmed rejection episodes segregated from those without rejection. Protein death 1 (PD-1)-expressing subpopulations of regulatory and conventional T cells had the greatest influence on the principal component segregation. We constructed a statistical tool to predict rejection using a support vector machine algorithm. The algorithm correctly identified 7 out of 9 patients with rejection, and 14 out of 17 patients without rejection. The immune profile before transplantation was most accurate in determining the risk of rejection, while changes of immune parameters after transplantation were less accurate in discriminating rejection from non-rejection. The data indicate that pre-transplant immune subset analysis has the potential to identify patients at risk of developing rejection episodes, and suggests that the proportion of PD1-expressing T cell subsets may be a key indicator of rejection risk. |
topic |
Transplantation Immunology T cells Risk factors rejection PD-1 |
url |
http://journal.frontiersin.org/Journal/10.3389/fimmu.2016.00126/full |
work_keys_str_mv |
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