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Comprehensive Analysis of Epstein-Barr Virus LMP2A-Specific CD8 + and CD4 + T Cell Responses Restricted to Each HLA Class I and II Allotype Within an Individual.

Hyeong-A JoSeung-Joo HyunYou-Seok HyunYong-Hun LeeSun-Mi KimIn-Cheol BaekHyun-Jung SohnTai-Gyu Kim
Published in: Immune network (2022)
Latent membrane protein 2A (LMP2A), a latent Ag commonly expressed in Epstein-Barr virus (EBV)-infected host cells, is a target for adoptive T cell therapy in EBV-associated malignancies. To define whether individual human leukocyte antigen (HLA) allotypes are used preferentially in EBV-specific T lymphocyte responses, LMP2A-specific CD8 + and CD4 + T cell responses in 50 healthy donors were analyzed by ELISPOT assay using artificial Ag-presenting cells expressing a single allotype. CD8 + T cell responses were significantly higher than CD4 + T cell responses. CD8 + T cell responses were ranked from highest to lowest in the order HLA-A, HLA-B, and HLA-C loci, and CD4 + T cell responses were ranked in the order HLA-DR, HLA-DP, and HLA-DQ loci. Among the 32 HLA class I and 56 HLA class II allotypes, 6 HLA-A, 7 HLA-B, 5 HLA-C, 10 HLA-DR, 2 HLA-DQ, and 2 HLA-DP allotypes showed T cell responses higher than 50 spot-forming cells (SFCs)/5×10 5 CD8 + or CD4 + T cells. Twenty-nine donors (58%) showed a high T cell response to at least one allotype of HLA class I or class II, and 4 donors (8%) had a high response to both HLA class I and class II allotypes. Interestingly, we observed an inverse correlation between the proportion of LMP2A-specific T cell responses and the frequency of HLA class I and II allotypes. These data demonstrate the allele dominance of LMP2A-specific T cell responses among HLA allotypes and their intra-individual dominance in response to only a few allotypes in an individual, which may provide useful information for genetic, pathogenic, and immunotherapeutic approaches to EBV-associated diseases.
Keyphrases
  • epstein barr virus
  • diffuse large b cell lymphoma
  • cell therapy
  • healthcare
  • induced apoptosis
  • high throughput
  • gene expression
  • quantum dots
  • deep learning
  • pi k akt
  • social media
  • cell cycle arrest
  • kidney transplantation