eprintid: 1489732 rev_number: 29 eprint_status: archive userid: 608 dir: disk0/01/48/97/32 datestamp: 2016-05-05 16:02:57 lastmod: 2021-10-04 00:57:31 status_changed: 2016-05-05 16:02:57 type: article metadata_visibility: show creators_name: Pike, R creators_name: Thomas, N creators_name: Workman, S creators_name: Ambrose, L creators_name: Guzman, D creators_name: Sivakumaran, S creators_name: Johnson, M creators_name: Thorburn, D creators_name: Harber, M creators_name: Chain, B creators_name: Stauss, HJ title: PD1-Expressing T Cell Subsets Modify the Rejection Risk in Renal Transplant Patients ispublished: pub divisions: UCL divisions: B02 divisions: C10 divisions: D15 divisions: D17 keywords: transplantation, rejection, T cells, protein death 1, risk factor note: Copyright © 2016 Pike, Thomas, Workman, Ambrose, Guzman, Sivakumaran, Johnson, Thorburn, Harber, Chain and Stauss. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (http://creativecommons.org/licenses/by/4.0/). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. abstract: 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 pretransplant 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. date: 2016-04-11 date_type: published official_url: http://dx.doi.org/10.3389/fimmu.2016.00126 oa_status: green full_text_type: pub language: eng primo: open primo_central: open_green verified: verified_manual elements_id: 1127413 doi: 10.3389/fimmu.2016.00126 lyricists_name: Chain, Benjamin lyricists_name: Harber, Mark lyricists_name: Stauss, Hans lyricists_name: Thorburn, Douglas lyricists_id: BMCHA43 lyricists_id: MAHAR54 lyricists_id: HJSTA69 lyricists_id: DTHOR21 actors_name: Chain, Benjamin actors_id: BMCHA43 actors_role: owner full_text_status: public publication: Frontiers in Immunology volume: 7 article_number: 126 issn: 1664-3224 citation: Pike, R; Thomas, N; Workman, S; Ambrose, L; Guzman, D; Sivakumaran, S; Johnson, M; ... Stauss, HJ; + view all <#> Pike, R; Thomas, N; Workman, S; Ambrose, L; Guzman, D; Sivakumaran, S; Johnson, M; Thorburn, D; Harber, M; Chain, B; Stauss, HJ; - view fewer <#> (2016) PD1-Expressing T Cell Subsets Modify the Rejection Risk in Renal Transplant Patients. Frontiers in Immunology , 7 , Article 126. 10.3389/fimmu.2016.00126 <https://doi.org/10.3389/fimmu.2016.00126>. Green open access document_url: https://discovery.ucl.ac.uk/id/eprint/1489732/1/Chain_fimmu-07-00126.pdf