Literature DB >> 33536169

In chronic infection, HIV gag-specific CD4+ T cell receptor diversity is higher than CD8+ T cell receptor diversity and is associated with less HIV quasispecies diversity.

Mark A Pilkinton1, Wyatt J McDonnell1, Louise Barnett1, Abha Chopra2, Rama Gangula1, Katie D White1, Shay Leary2, Jennifer Currenti3, Silvana Gaudieri1,2,3, Simon A Mallal1,2,4, Spyros A Kalams5,4.   

Abstract

Cellular immune responses to Gag correlate with improved HIV viral control. The full extent of cellular immune responses comprise both the number of epitopes recognized by CD4+ and CD8+ T cells, as well as the diversity of the T cell receptor (TCR) repertoire directed against each epitope. The optimal diversity of the responsive TCR repertoire is unclear. Therefore, we evaluated the TCR diversity of CD4+ and CD8+ T cells responding to HIV-1 Gag to determine if TCR diversity correlates with clinical or virologic metrics. Previous studies of TCR repertoires have been limited primarily to CD8+ T cell responses directed against a small number of well-characterized T cell epitopes restricted by specific human leucocyte antigens. We stimulated peripheral blood mononuclear cells from 21chronic HIV-infected individuals overnight with a pool of HIV-1 Gag peptides, followed by sorting of activated CD4+ and CD8+ T cells and TCR deep sequencing. We found Gag-reactive CD8+ T cells to be more oligoclonal, with a few dominant TCRs comprising the bulk of the repertoire, compared to the highly diverse TCR repertoires of Gag-reactive CD4+ T cells. HIV viral sequencing of the same donors revealed that high CD4+ T cell TCR diversity was strongly associated with lower HIV Gag genetic diversity. We conclude that the TCR repertoire of Gag-reactive CD4+ T helper cells display substantial diversity without a clearly dominant circulating TCR clonotype, in contrast to a hierarchy of dominant TCR clonotypes in the Gag-reactive CD8+ T cells, and may serve to limit HIV diversity during chronic infection.IMPORTANCE Human T cells recognize portions of viral proteins bound to host molecules (human leucocyte antigens) on the surface of infected cells. T cells recognize these foreign proteins through their T cell receptors (TCRs), which are formed by the assortment of several available V, D and J genes to create millions of combinations of unique TCRs. We measured the diversity of T cells responding to the HIV Gag protein. We found the CD8+ T cell response is primarily made up of a few dominant unique TCRs whereas the CD4+ T cell subset has a much more diverse repertoire of TCRs. We also found there was less change in the virus sequences in subjects with more diverse TCR repertoires. HIV has a high mutation rate, which allows it to evade the immune response. Our findings describe the characteristics of a virus-specific T cell response that may allow it to limit viral evolution.
Copyright © 2021 American Society for Microbiology.

Entities:  

Year:  2021        PMID: 33536169      PMCID: PMC8103689          DOI: 10.1128/JVI.02380-20

Source DB:  PubMed          Journal:  J Virol        ISSN: 0022-538X            Impact factor:   5.103


  47 in total

1.  A live-cell assay to detect antigen-specific CD4+ T cells with diverse cytokine profiles.

Authors:  Pratip K Chattopadhyay; Joanne Yu; Mario Roederer
Journal:  Nat Med       Date:  2005-09-25       Impact factor: 53.440

Review 2.  Class II major histocompatibility complex tetramer staining: progress, problems, and prospects.

Authors:  Sabrina S Vollers; Lawrence J Stern
Journal:  Immunology       Date:  2008-03       Impact factor: 7.397

3.  TCR repertoire analysis by next generation sequencing allows complex differential diagnosis of T cell-related pathology.

Authors:  M Dziubianau; J Hecht; L Kuchenbecker; A Sattler; U Stervbo; C Rödelsperger; P Nickel; A U Neumann; P N Robinson; S Mundlos; H-D Volk; A Thiel; P Reinke; N Babel
Journal:  Am J Transplant       Date:  2013-09-10       Impact factor: 8.086

4.  A Shannon entropy analysis of immunoglobulin and T cell receptor.

Authors:  J J Stewart; C Y Lee; S Ibrahim; P Watts; M Shlomchik; M Weigert; S Litwin
Journal:  Mol Immunol       Date:  1997-10       Impact factor: 4.407

5.  MEGA7: Molecular Evolutionary Genetics Analysis Version 7.0 for Bigger Datasets.

Authors:  Sudhir Kumar; Glen Stecher; Koichiro Tamura
Journal:  Mol Biol Evol       Date:  2016-03-22       Impact factor: 16.240

6.  Analysis of the immune response and viral evolution during the acute phase of SIV infection.

Authors:  Helen Horton; Thorsten Vogel; David O'Connor; Louis Picker; David I Watkins
Journal:  Vaccine       Date:  2002-05-06       Impact factor: 3.641

7.  Selective escape from CD8+ T-cell responses represents a major driving force of human immunodeficiency virus type 1 (HIV-1) sequence diversity and reveals constraints on HIV-1 evolution.

Authors:  Todd M Allen; Marcus Altfeld; Shaun C Geer; Elizabeth T Kalife; Corey Moore; Kristin M O'sullivan; Ivna Desouza; Margaret E Feeney; Robert L Eldridge; Erica L Maier; Daniel E Kaufmann; Matthew P Lahaie; Laura Reyor; Giancarlo Tanzi; Mary N Johnston; Christian Brander; Rika Draenert; Jurgen K Rockstroh; Heiko Jessen; Eric S Rosenberg; Simon A Mallal; Bruce D Walker
Journal:  J Virol       Date:  2005-11       Impact factor: 5.103

8.  Transmitted virus fitness and host T cell responses collectively define divergent infection outcomes in two HIV-1 recipients.

Authors:  Ling Yue; Katja J Pfafferott; Joshua Baalwa; Karen Conrod; Catherine C Dong; Cecilia Chui; Rong Rong; Daniel T Claiborne; Jessica L Prince; Jianming Tang; Ruy M Ribeiro; Emmanuel Cormier; Beatrice H Hahn; Alan S Perelson; George M Shaw; Etienne Karita; Jill Gilmour; Paul Goepfert; Cynthia A Derdeyn; Susan A Allen; Persephone Borrow; Eric Hunter
Journal:  PLoS Pathog       Date:  2015-01-08       Impact factor: 6.823

9.  Dynamic Perturbations of the T-Cell Receptor Repertoire in Chronic HIV Infection and following Antiretroviral Therapy.

Authors:  James M Heather; Katharine Best; Theres Oakes; Eleanor R Gray; Jennifer K Roe; Niclas Thomas; Nir Friedman; Mahdad Noursadeghi; Benjamin Chain
Journal:  Front Immunol       Date:  2016-01-11       Impact factor: 7.561

10.  Single-cell RNA-seq reveals dynamic paracrine control of cellular variation.

Authors:  Alex K Shalek; Rahul Satija; Joe Shuga; John J Trombetta; Dave Gennert; Diana Lu; Peilin Chen; Rona S Gertner; Jellert T Gaublomme; Nir Yosef; Schraga Schwartz; Brian Fowler; Suzanne Weaver; Jing Wang; Xiaohui Wang; Ruihua Ding; Raktima Raychowdhury; Nir Friedman; Nir Hacohen; Hongkun Park; Andrew P May; Aviv Regev
Journal:  Nature       Date:  2014-06-11       Impact factor: 49.962

View more
  1 in total

Review 1.  T-Cell Receptor Repertoire Sequencing and Its Applications: Focus on Infectious Diseases and Cancer.

Authors:  Lucia Mazzotti; Anna Gaimari; Sara Bravaccini; Roberta Maltoni; Claudio Cerchione; Manel Juan; Europa Azucena-Gonzalez Navarro; Anna Pasetto; Daniela Nascimento Silva; Valentina Ancarani; Vittorio Sambri; Luana Calabrò; Giovanni Martinelli; Massimiliano Mazza
Journal:  Int J Mol Sci       Date:  2022-08-02       Impact factor: 6.208

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.