Literature DB >> 19372876

Drug resistance mutations and the cellular immune response: a valuable synergy for the development of novel immune therapies.

Nicolas Chomont1, Lydie Trautmann, Jean-Pierre Routy, Rafick-Pierre Sékaly.   

Abstract

PURPOSE OF REVIEW: The escape of HIV-1 is a cardinal feature of the virus and a major hindrance to the development of effective therapeutic strategies. In highly active antiretroviral therapy-treated patients, the virus is subjected to selective pressures from cellular immune response directed against the viral proteome and antiretroviral treatment targetting a few genes of the HIV-1 genome. This review will focus on the relationship between these two pressures and its potential advantage in the development of novel immune therapies. RECENT
FINDINGS: Recent studies have investigated the conflicting selective forces between viral fitness and escape to immunological and therapeutic pressures in natural HIV infection and the SIV model. Simultaneous pressures driven by cytotoxic T lymphocytes and highly active antiretroviral therapy could potentially reduce viral fitness, leading to better control of the viral load. Two studies have described a potential therapeutic vaccine strategy against viral escape mutant epitopes from reverse transcriptase inhibitors.
SUMMARY: The emergence of multidrug-resistant viruses is associated with enhanced T-cell-mediated immune response as a possible consequence of reduced viral fitness. Amino acid substitutions generate potential cytotoxic T-lymphocyte epitopes that may elicit new reactivities against mutated viruses. Both could significantly enhance the immune response through direct and indirect mechanisms.

Entities:  

Year:  2007        PMID: 19372876     DOI: 10.1097/COH.0b013e3280287a4d

Source DB:  PubMed          Journal:  Curr Opin HIV AIDS        ISSN: 1746-630X            Impact factor:   4.283


  2 in total

1.  Strong Environment-Genotype Interactions Determine the Fitness Costs of Antibiotic Resistance In Vitro and in an Insect Model of Infection.

Authors:  C James Manktelow; Elitsa Penkova; Lucy Scott; Andrew C Matthews; Ben Raymond
Journal:  Antimicrob Agents Chemother       Date:  2020-09-21       Impact factor: 5.191

2.  Predicting the efficacy of cancer vaccines by evaluating T-cell responses.

Authors:  Suzanne van Duikeren; Ramon Arens
Journal:  Oncoimmunology       Date:  2013-01-01       Impact factor: 8.110

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.