Literature DB >> 19497041

Correlations between Terasaki's HLA class I epitopes and HLAMatchmaker-defined eplets on HLA-A, -B and -C antigens.

R J Duquesnoy1, M Marrari.   

Abstract

Although the determination of human leukocyte antigen (HLA) antibody specificity has traditionally been directed toward HLA antigens, there is now increasing attention to structurally defined HLA epitopes. An understanding of the HLA epitope repertoire is important to acceptable mismatching for sensitized patients and to a new epitope-based matching algorithm aimed to reduce antibody-mediated rejection. There are two strategies to determine the HLA epitope repertoire. Terasaki's group has used an empirical method to analyze the reactivity of single allele Luminex panels with mouse monoclonal antibodies (mAbs) and absorbed/eluted alloantibodies with a computer program based on shared residues in the amino acid sequences of reactive alleles. HLAMatchmaker is a theoretical algorithm that predicts HLA epitopes on the HLA molecular surface from stereochemical modeling of epitope-paratope interfaces of antigen-antibody complexes. Our epitope repertoire is based on so-called 'eplets' representing 3-A patches of at least one polymorphic residue on the molecular surface. A comparative analysis has shown that 81/103 Terasaki's HLA class I epitopes are equivalent to individual eplets (n = 50) or pairs of eplets (n = 31) separated far enough to serve as potential contact sites for two complementarity-determining regions of antibody. An additional 12 Terasaki's epitopes (TerEps) correspond to eplets with permissible residue combinations that do not seem to affect epitope specificity. We could not identify corresponding eplets for the remaining 10 TerEps, including 8 that might be considered xeno-epitopes defined by mouse mAbs. Conversely, HLAMatchmaker has 38 additional eplets in well-exposed surface positions that do not have equivalent TerEps, and for many of them, we have found specific antibodies. These findings strengthen the concept that eplets are essential basic units of HLA epitopes and that they provide a better understanding of HLA immunogenicity (i.e. ability to induce an antibody response) and antigenicity (i.e. reactivity with specific antibody).

Entities:  

Mesh:

Substances:

Year:  2009        PMID: 19497041     DOI: 10.1111/j.1399-0039.2009.01271.x

Source DB:  PubMed          Journal:  Tissue Antigens        ISSN: 0001-2815


  9 in total

Review 1.  HLA epitope matching in pediatric renal transplantation.

Authors:  Matthew P Sypek; Peter Hughes; Joshua Y Kausman
Journal:  Pediatr Nephrol       Date:  2016-12-19       Impact factor: 3.714

Review 2.  Interpreting Anti-HLA Antibody Testing Data: A Practical Guide for Physicians.

Authors:  Carrie A Schinstock; Manish J Gandhi; Mark D Stegall
Journal:  Transplantation       Date:  2016-08       Impact factor: 4.939

3.  Differences in immunogenicity of HLA antigens and the impact of cross-reactivity on the humoral response.

Authors:  Donna P Lucas; Mary S Leffell; Andrea A Zachary
Journal:  Transplantation       Date:  2015-01       Impact factor: 4.939

4.  A Novel Method for Anti-HLA Antibody Detection Using Personalized Peptide Arrays.

Authors:  Pan Liu; Tomokazu Souma; Andrew Zu-Sern Wei; Xueying Xie; Xunrong Luo; Jing Jin
Journal:  Transplant Direct       Date:  2016-10-10

Review 5.  The Humoral Theory of Transplantation: Epitope Analysis and the Pathogenicity of HLA Antibodies.

Authors:  Edward J Filippone; John L Farber
Journal:  J Immunol Res       Date:  2016-12-14       Impact factor: 4.818

6.  A Previous Miscarriage and a Previous Successful Pregnancy Have a Different Impact on HLA Antibody Formation during a Subsequent Successful Pregnancy.

Authors:  Kirsten Geneugelijk; Gideon Hönger; Hanneke Wilhelmina Maria van Deutekom; Irene Mathilde Hösli; Stefan Schaub; Eric Spierings
Journal:  Front Immunol       Date:  2016-12-06       Impact factor: 7.561

7.  Correlation and agreement between eplet mismatches calculated using serological, low-intermediate and high resolution molecular human leukocyte antigen typing methods.

Authors:  Samantha Fidler; Lloyd D'Orsogna; Ashley B Irish; Joshua R Lewis; Germaine Wong; Wai H Lim
Journal:  Oncotarget       Date:  2018-02-01

8.  Patterns of 1,748 Unique Human Alloimmune Responses Seen by Simple Machine Learning Algorithms.

Authors:  Angeliki G Vittoraki; Asimina Fylaktou; Katerina Tarassi; Zafeiris Tsinaris; George Ch Petasis; Demetris Gerogiannis; Vissal-David Kheav; Maryvonnick Carmagnat; Claudia Lehmann; Ilias Doxiadis; Aliki G Iniotaki; Ioannis Theodorou
Journal:  Front Immunol       Date:  2020-07-28       Impact factor: 7.561

Review 9.  Novel insights into non-HLA alloimmunity in kidney transplantation.

Authors:  Roman Reindl-Schwaighofer; Andreas Heinzel; Guido A Gualdoni; Laurent Mesnard; Frans H J Claas; Rainer Oberbauer
Journal:  Transpl Int       Date:  2019-11-28       Impact factor: 3.782

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.