Genetic diversity in the partial sequence of the HIV-1 gag gene among people living with multidrug-resistant HIV-1 infection.


Journal

Revista do Instituto de Medicina Tropical de Sao Paulo
ISSN: 1678-9946
Titre abrégé: Rev Inst Med Trop Sao Paulo
Pays: Brazil
ID NLM: 7507484

Informations de publication

Date de publication:
2024
Historique:
received: 05 12 2023
accepted: 02 04 2024
medline: 12 6 2024
pubmed: 12 6 2024
entrez: 12 6 2024
Statut: epublish

Résumé

The group-specific antigen (gag) plays a crucial role in the assembly, release, and maturation of HIV. This study aimed to analyze the partial sequence of the HIV gag gene to classify HIV subtypes, identify recombination sites, and detect protease inhibitor (PI) resistance-associated mutations (RAMs). The cohort included 100 people living with HIV (PLH) who had experienced antiretroviral treatment failure with reverse transcriptase/protease inhibitors. Proviral HIV-DNA was successfully sequenced in 96 out of 100 samples for gag regions, specifically matrix (p17) and capsid (p24). Moreover, from these 96 sequences, 82 (85.42%) were classified as subtype B, six (6.25%) as subtype F1, one (1.04%) as subtype C, and seven (7.29%) exhibited a mosaic pattern between subtypes B and F1 (B/F1), with breakpoints at p24 protein. Insertions and deletions of amino acid at p17 were observed in 51 samples (53.13%). The prevalence of PI RAM in the partial gag gene was observed in 78 out of 96 PLH (81.25%). Among these cases, the most common mutations were R76K (53.13%), Y79F (31.25%), and H219Q (14.58%) at non-cleavage sites, as well as V128I (10.42%) and Y132F (11.46%) at cleavage sites. While B/F1 recombination was identified in the p24, the p17 coding region showed higher diversity, where insertions, deletions, and PI RAM, were observed at high prevalence. In PLH with virological failure, the analysis of the partial gag gene could contribute to more accurate predictions in genotypic resistance to PIs. This can aid guide more effective HIV treatment strategies.

Identifiants

pubmed: 38865573
pii: S0036-46652024000100216
doi: 10.1590/S1678-9946202466035
pii:
doi:

Substances chimiques

gag Gene Products, Human Immunodeficiency Virus 0
Anti-HIV Agents 0
DNA, Viral 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e35

Auteurs

Cecília Salete Alencar (CS)

Universidade de São Paulo, Faculdade de Medicina, Hospital das Clínicas, Laboratório de Medicina Laboratorial (LIM-03), São Paulo, São Paulo, Brazil.

Ester Cerdeira Sabino (EC)

Universidade de São Paulo, Faculdade de Medicina, Instituto de Medicina Tropical de São Paulo, São Paulo, São Paulo, Brazil.
Universidade de São Paulo, Faculdade de Medicina, São Paulo, São Paulo, Brazil.

Ricardo Sobhie Diaz (RS)

Universidade Federal de São Paulo, Laboratório de Retrovirologia, São Paulo, São Paulo, Brazil.

Alfredo Mendrone-Junior (A)

Fundação Pró-Sangue Hemocentro de São Paulo, São Paulo, São Paulo, Brazil.
Universidade de São Paulo, Faculdade de Medicina, Hospital das Clínicas, Departamento de Hematologia, Laboratório de Investigação Médica em Patogênese e Terapia Dirigida em Onco-Imuno-Hematologia (LIM-31), São Paulo, São Paulo, Brazil.

Anna Shoko Nishiya (AS)

Fundação Pró-Sangue Hemocentro de São Paulo, São Paulo, São Paulo, Brazil.
Universidade de São Paulo, Faculdade de Medicina, Hospital das Clínicas, Departamento de Hematologia, Laboratório de Investigação Médica em Patogênese e Terapia Dirigida em Onco-Imuno-Hematologia (LIM-31), São Paulo, São Paulo, Brazil.

Articles similaires

Genome, Chloroplast Phylogeny Genetic Markers Base Composition High-Throughput Nucleotide Sequencing

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C

Classifications MeSH