Literature DB >> 25445022

The impact of amino acid variability on alloreactivity defines a functional distance predictive of permissive HLA-DPB1 mismatches in hematopoietic stem cell transplantation.

Pietro Crivello1, Laura Zito2, Federico Sizzano3, Elisabetta Zino2, Martin Maiers4, Arend Mulder5, Cristina Toffalori2, Luigi Naldini6, Fabio Ciceri7, Luca Vago8, Katharina Fleischhauer9.   

Abstract

A major challenge in unrelated hematopoietic stem cell transplantation (HSCT) is the prediction of permissive HLA mismatches, ie, those associated with lower clinical risks compared to their nonpermissive counterparts. For HLA-DPB1, a clinically prognostic model has been shown to be matching for T cell epitope (TCE) groups assigned by cross reactivity of T cells alloreactive to HLA-DPB1∗09:01; however, the molecular basis of this observation is not fully understood. Here, we have mutated amino acids (aa) in 10 positions of HLA-DPB1∗09:01 to other naturally occurring variants, expressed them by lentiviral vectors in B cell lines, and quantitatively measured allorecognition by 17 CD4(+) T cell effectors from 6 unrelated individuals. A significant impact on the median alloresponse was observed for peptide contact positions 9, 11, 35, 55, 69, 76, and 84, but not for positions 8, 56, and 57 pointing away from the groove. A score for the "functional distance" (FD) from HLA-DPB1∗09:01 was defined as the sum of the median impact of polymorphic aa in a given HLA-DPB1 allele on T cell alloreactivity. Established TCE group assignment of 23 alleles correlated with FD scores of ≤0.5, 0.6 to 1.9 and ≥2 for TCE groups 1, 2, and 3, respectively. Based on this, prediction of TCE group assignment will be possible for any given HLA-DPB1 allele, including currently 367 alleles encoding distinct proteins for which T cell cross reactivity patterns are unknown. Experimental confirmation of the in silico TCE group classification was successfully performed for 7 of 7 of these alleles. Our findings have practical implications for the applicability of TCE group matching in unrelated HSCT and provide new insights into the molecular mechanisms underlying this model. The innovative concept of FD opens new potential avenues for risk prediction in unrelated HSCT.
Copyright © 2015 American Society for Blood and Marrow Transplantation. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Alloreactivity; Amino acid mutation analysis; HLA-DPB1; Hematopoietic stem cell transplantation; Permissive HLA mismatches; T cell epitope

Mesh:

Substances:

Year:  2014        PMID: 25445022     DOI: 10.1016/j.bbmt.2014.10.017

Source DB:  PubMed          Journal:  Biol Blood Marrow Transplant        ISSN: 1083-8791            Impact factor:   5.742


  28 in total

Review 1.  Prevention of relapse after allogeneic hematopoietic cell transplantation by donor and cell source selection.

Authors:  Katharina Fleischhauer; Katharine C Hsu; Bronwen E Shaw
Journal:  Bone Marrow Transplant       Date:  2018-05-24       Impact factor: 5.483

2.  Resolving MiSeq-Generated Ambiguities in HLA-DPB1 Typing by Using the Oxford Nanopore Technology.

Authors:  Jamie L Duke; Timothy L Mosbruger; Deborah Ferriola; Nilesh Chitnis; Taishan Hu; Nikolaos Tairis; David J Margolis; Dimitri S Monos
Journal:  J Mol Diagn       Date:  2019-06-04       Impact factor: 5.568

Review 3.  In celebration of Ruggero Ceppellini: HLA in transplantation.

Authors:  E W Petersdorf
Journal:  HLA       Date:  2017-02       Impact factor: 4.513

4.  Genome-wide Association Study Identifies HLA-DPB1 as a Significant Risk Factor for Severe Aplastic Anemia.

Authors:  Sharon A Savage; Mathias Viard; Colm O'hUigin; Weiyin Zhou; Meredith Yeager; Shengchao Alfred Li; Tao Wang; Veron Ramsuran; Nicolas Vince; Aurelie Vogt; Belynda Hicks; Laurie Burdett; Charles Chung; Michael Dean; Kelvin C de Andrade; Neal D Freedman; Sonja I Berndt; Nathaniel Rothman; Qing Lan; James R Cerhan; Susan L Slager; Yawei Zhang; Lauren R Teras; Michael Haagenson; Stephen J Chanock; Stephen R Spellman; Youjin Wang; Amanda Willis; Medhat Askar; Stephanie J Lee; Mary Carrington; Shahinaz M Gadalla
Journal:  Am J Hum Genet       Date:  2020-01-30       Impact factor: 11.025

5.  Chromosome Y-encoded antigens associate with acute graft-versus-host disease in sex-mismatched stem cell transplant.

Authors:  Wei Wang; Hu Huang; Michael Halagan; Cynthia Vierra-Green; Michael Heuer; Jason E Brelsford; Michael Haagenson; Richard H Scheuermann; Amalio Telenti; William Biggs; Nathaniel M Pearson; Julia Udell; Stephen Spellman; Martin Maiers; Caleb J Kennedy
Journal:  Blood Adv       Date:  2018-10-09

6.  Predicting relevant immunogenetic disparities.

Authors:  Joseph Pidala; Claudio Anasetti
Journal:  Blood       Date:  2016-07-07       Impact factor: 22.113

7.  Genome-wide minor histocompatibility matching as related to the risk of graft-versus-host disease.

Authors:  Paul J Martin; David M Levine; Barry E Storer; Edus H Warren; Xiuwen Zheng; Sarah C Nelson; Anajane G Smith; Bo K Mortensen; John A Hansen
Journal:  Blood       Date:  2016-11-21       Impact factor: 22.113

8.  Molecular disparity in human leukocyte antigens is associated with outcomes in haploidentical stem cell transplantation.

Authors:  Jun Zou; Stefan O Ciurea; Piyanuch Kongtim; Min Yi; Yudith Carmazzi; Gabriela Rondon; Samer Srour; David Partlow; Richard E Champlin; Kai Cao
Journal:  Blood Adv       Date:  2020-08-11

9.  Directionality of non-permissive HLA-DPB1 T-cell epitope group mismatches does not improve clinical risk stratification in 8/8 matched unrelated donor hematopoietic cell transplantation.

Authors:  K Fleischhauer; K W Ahn; H L Wang; L Zito; P Crivello; C Müller; M Verneris; B E Shaw; J Pidala; M Oudshorn; S J Lee; S R Spellman
Journal:  Bone Marrow Transplant       Date:  2017-06-05       Impact factor: 5.483

10.  Development of an Unrelated Donor Selection Score Predictive of Survival after HCT: Donor Age Matters Most.

Authors:  Bronwen E Shaw; Brent R Logan; Stephen R Spellman; Steven G E Marsh; James Robinson; Joseph Pidala; Carolyn Hurley; Juliet Barker; Martin Maiers; Jason Dehn; Hailin Wang; Mike Haagenson; David Porter; Effie W Petersdorf; Ann Woolfrey; Mary M Horowitz; Michael Verneris; Katharine C Hsu; Katharina Fleischhauer; Stephanie J Lee
Journal:  Biol Blood Marrow Transplant       Date:  2018-02-14       Impact factor: 5.742

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