JOURNAL ARTICLE
Evaluation of HIV-1 antiretroviral drug resistance profiles in the peripheral blood reservoir of successfully treated persons using massive sequencing and viral full genome characterization.
Published In: Journal of Antimicrobial Chemotherapy (JAC), 2023, v. 78, n. 6. P. 1444 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Botelho, Ornella M; Basso, Rossana P; Mota, Luisa D Da; Hora, Vanusa P Da; Garrido, Marianne M; Machado, Elizabeth S; Alves, Brunna M; Soares, Marcelo A 3 of 3
Abstract
This article focuses on the genetic analysis of archived HIV-1 proviruses from people living with HIV (PLWH) under successful antiretroviral therapy (ART) in two Brazilian cities, Rio de Janeiro (RJ) and Rio Grande do Sul (RS). Using high-throughput sequencing (HTS) of near full-length genomes (NFLG), the study identified a predominance of HIV-1 subtype B in RJ and subtype C in RS, with a notable presence of recombinant forms. Drug resistance mutations (DRMs), including minority variants (mutations present at frequencies below 20%), were detected in 73.3% of samples, yet all patients maintained therapeutic success with undetectable viral loads. The findings highlight the prevalence of low- and high-frequency DRMs in archived proviruses without apparent impact on treatment efficacy, supporting the sustainability of combinatorial ART and underscoring the importance of monitoring minority variants in patients with controlled HIV infection.
Additional Information
- Source:Journal of Antimicrobial Chemotherapy (JAC). 2023/06, Vol. 78, Issue 6, p1444
- Document Type:Article
- Subject Area:Health and Medicine
- Publication Date:2023
- ISSN:0305-7453
- DOI:10.1093/jac/dkad104
- Accession Number:164066635
- Copyright Statement:Copyright of Journal of Antimicrobial Chemotherapy (JAC) is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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