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Evidence of genomic information and structural restrictions of HIV-1 PR and RT gene regions from individuals experiencing antiretroviral virologic failure.

Authors :
de Carvalho Lima EN
Lima RSA
Piqueira JRC
Sucupira MC
Camargo M
Galinskas J
Diaz RS
Source :
Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases [Infect Genet Evol] 2020 Mar; Vol. 78, pp. 104134. Date of Electronic Publication: 2019 Dec 10.
Publication Year :
2020

Abstract

Objectives: This study analyzed Protease-PR and Reverse Transcriptase-RT HIV-1 genomic information entropy metrics among patients under antiretroviral virologic failure, according to the numbers of virologic failures or resistance mutations.<br />Methods: For this purpose, we used genomic sequences from PR and RT of HIV-1 from a cohort of chronic patients followed up at São Paulo Hospital.<br />Results: Informational entropy proportionally increases with the number of antiretroviral virologic failures in PR and RT (p < .001). Affected regions of PR were related to catalytic and structural functions, such as Fulcrum (K20) Flap (M46) and Cantilever (A71). In RT, this occurred at Fingers (E44) and Palm (K219). Informational entropy increases according to the number of resistance mutations in PR and RT (p < .001). Higher PR entropy was proportional to the resistance mutation numbers in Fulcrum (L10), Active site (L24) Flap (M46), Cantilever (L63) and near Interface (L90). In RT, they related to regions responsible for protein stability such as Fingers (T39) and Palm (L100).<br />Conclusions: The antiretroviral selective pressure affects HIV genomic informational entropy at the PR and RT regions, leading to the emergence of more unstable virions. Mapping the three-dimensional structure in these HIV-1 proteins is relevant to designing new antiretroviral targeting resistant strains.<br />Competing Interests: Declaration of Competing Interest The authors have no declarations or conflicts of interest associated with this work.<br /> (Copyright © 2019 The Authors. Published by Elsevier B.V. All rights reserved.)

Details

Language :
English
ISSN :
1567-7257
Volume :
78
Database :
MEDLINE
Journal :
Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases
Publication Type :
Academic Journal
Accession number :
31837484
Full Text :
https://doi.org/10.1016/j.meegid.2019.104134