Literature DB >> 33025622

Identification of peripheral CD154+ T cells and HLA-DRB1 as biomarkers of acute cellular rejection in adult liver transplant recipients.

F Boix1, I Legaz2, A Minhas3, R Alfaro4, V Jiménez-Coll4, A Mrowiec4, H Martínez-Banaclocha4, J A Galián4, C Botella4, M R Moya-Quiles4, F Sanchez-Bueno5, R Robles5, J de la Peña-Moral6, P Ramirez5, J A Pons7, A Minguela4, M Muro4.   

Abstract

Decreasing graft rejection and increasing graft and patient survival are great challenges facing liver transplantation (LT). Different T cell subsets participate in the acute cellular rejection (ACR) of the allograft. Cell-mediated immunity markers of the recipient could help to understand the mechanisms underlying acute rejection. This study aimed to analyse different surface antigens on T cells in a cohort of adult liver patients undergoing LT to determine the influence on ACR using multi-parametric flow cytometry functional assay. Thirty patients were monitored at baseline and during 1 year post-transplant. Two groups were established, with (ACR) and without (NACR) acute cellular rejection. Leukocyte, total lymphocyte, percentages of CD4+ CD154+ and CD8+ CD154+ T cells, human leukocyte antigen (HLA) mismatch between recipient-donor and their relation with ACR as well as the acute rejection frequencies were analysed. T cells were stimulated with concanavalin A (Con-A) and surface antigens were analysed by fluorescence activated cell sorter (FACS) analysis. A high percentage of CD4+ CD154+ T cells (P = 0·001) and a low percentage of CD8+ CD154+ T cells (P = 0·002) at baseline were statistically significant in ACR. A receiver operating characteristic analysis determined the cut-off values capable to stratify patients at high risk of ACR with high sensitivity and specificity for CD4+ CD154+ (P = 0·001) and CD8+ CD154+ T cells (P = 0·002). In logistic regression analysis, CD4+ CD154+ , CD8+ CD154+ and HLA mismatch were confirmed as independent risk factors to ACR. Post-transplant percentages of both T cell subsets were significantly higher in ACR, despite variations compared to pretransplant. These findings support the selection of candidates for LT based on the pretransplant percentages of CD4+ CD154+ and CD8+ CD154+ T cells in parallel with other transplant factors.
© 2020 British Society for Immunology.

Entities:  

Keywords:  CD154+ T cells; HLA; acute cellular rejection; cell-mediated immunity (CMI); immunosuppression; liver transplantation

Mesh:

Substances:

Year:  2020        PMID: 33025622      PMCID: PMC7806417          DOI: 10.1111/cei.13533

Source DB:  PubMed          Journal:  Clin Exp Immunol        ISSN: 0009-9104            Impact factor:   4.330


  61 in total

1.  CD8 T cells are sufficient to mediate allorecognition and allograft rejection.

Authors:  Kate E Halamay; Robert L Kirkman; Linhong Sun; Akira Yamada; Ruben C Fragoso; Koichi Shimizu; Richard N Mitchell; Dianne B McKay
Journal:  Cell Immunol       Date:  2002 Mar-Apr       Impact factor: 4.868

2.  Influence of human leukocyte antigen mismatching on rejection development and allograft survival in liver transplantation: is the relevance of HLA-A locus matching being underestimated?

Authors:  Manuel Muro; María R López-Álvarez; Jose A Campillo; Luis Marin; María R Moya-Quiles; Jose M Bolarín; Carmen Botella; Gema Salgado; Pedro Martínez; Francisco Sánchez-Bueno; Ruth López-Hernández; Francisco Boix; Alexandre Bosch; Helios Martínez; Jesús M de la Peña-Moral; Noelia Pérez; Ricardo Robles; Ana M García-Alonso; Alfredo Minguela; Manuel Miras; María R Alvarez-López
Journal:  Transpl Immunol       Date:  2011-11-23       Impact factor: 1.708

3.  Evolution of causes and risk factors for mortality post-liver transplant: results of the NIDDK long-term follow-up study.

Authors:  K D S Watt; R A Pedersen; W K Kremers; J K Heimbach; M R Charlton
Journal:  Am J Transplant       Date:  2010-05-10       Impact factor: 8.086

Review 4.  Banff schema for grading liver allograft rejection: an international consensus document.

Authors: 
Journal:  Hepatology       Date:  1997-03       Impact factor: 17.425

5.  CD28 biomarker quantification and expression level profiles in CD4+ T-lymphocytes in solid organ transplantation.

Authors:  Francisco Boix; José Miguel Bolarín; Anna Mrowiec; Jorge Eguía; Gema Gonzalez-Martinez; Jesús de la Peña; José A Galian; Rafael Alfaro; María R Moya-Quiles; Isabel Legaz; José A Campillo; Pablo Ramírez; Ana García-Alonso; Jose A Pons; Francisco Sánchez-Bueno; Alfredo Minguela; Santiago Llorente; Manuel Muro
Journal:  Transpl Immunol       Date:  2017-04-06       Impact factor: 1.708

Review 6.  Cell-Mediated Immunity (CMI) as the Instrument to Assess the Response Against the Allograft: Present and Future.

Authors:  F Boix; C Trujillo; M Muro
Journal:  Curr Protein Pept Sci       Date:  2018       Impact factor: 3.272

7.  The impact of confounder selection criteria on effect estimation.

Authors:  R M Mickey; S Greenland
Journal:  Am J Epidemiol       Date:  1989-01       Impact factor: 4.897

8.  The mitogenic lectin from Phaseolus vulgaris does not recognize the T3 antigen of human T lymphocytes.

Authors:  J M Kanellopoulos; S De Petris; G Leca; M J Crumpton
Journal:  Eur J Immunol       Date:  1985-05       Impact factor: 5.532

9.  Long-term outcome of human leukocyte antigen mismatching in liver transplantation: results of the National Institute of Diabetes and Digestive and Kidney Diseases Liver Transplantation Database.

Authors:  Vijayan Balan; Kris Ruppert; A Jake Demetris; Tatiana Ledneva; Rene J Duquesnoy; Katherine M Detre; Yuling L Wei; Jorge Rakela; Daniel F Schafer; John P Roberts; James E Everhart; Russell H Wiesner
Journal:  Hepatology       Date:  2008-09       Impact factor: 17.425

Review 10.  Mechanisms of rejection: current perspectives.

Authors:  Kathryn J Wood; Ryoichi Goto
Journal:  Transplantation       Date:  2012-01-15       Impact factor: 4.939

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  2 in total

1.  Computational Prediction of Biomarkers, Pathways, and New Target Drugs in the Pathogenesis of Immune-Based Diseases Regarding Kidney Transplantation Rejection.

Authors:  Rafael Alfaro; Helios Martínez-Banaclocha; Santiago Llorente; Victor Jimenez-Coll; José Antonio Galián; Carmen Botella; María Rosa Moya-Quiles; Antonio Parrado; Manuel Muro-Perez; Alfredo Minguela; Isabel Legaz; Manuel Muro
Journal:  Front Immunol       Date:  2021-12-15       Impact factor: 7.561

2.  The Model for End-Stage Liver Disease Score and the Follow-Up Period Can Cause the Shift of Circulating Lymphocyte Subsets in Liver Transplant Recipients.

Authors:  Fei Pan; Shuang Cao; Xian-Liang Li; Ya-Nan Jia; Ruo-Lin Wang; Qiang He; Ji-Qiao Zhu
Journal:  Front Med (Lausanne)       Date:  2022-01-03
  2 in total

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