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HIV-1 genetic characteristics and drug resistance in newly diagnosed population in Baoding city of Hebei Province / 中华微生物学和免疫学杂志
Article en Zh | WPRIM | ID: wpr-934018
Biblioteca responsable: WPRO
ABSTRACT

Objective:

To investigate the distribution of HIV-1 genotypes and drug resistance in newly diagnosed HIV-1 patients in Baoding in 2020.

Methods:

A self-developed method was used to amplify the pol gene sequence of HIV-1, and the sequencing results were analyzed by phylogenetic analysis and compared with the Stanford drug resistance database to determine the HIV-1 subtypes and gene mutations.

Results:

A total of 96 patients with HIV-1 infection were recruited in this study, and 83 pol gene sequences were successfully obtained. In the study population, 88 (91.7%) were male with an average age of 39 years and 54 (56.3%) were married. Most of the patients were infected through sexual contact (95.8%, 92/96), and 75.0% (72/96) were through homosexual transmission. Phylogenetic analysis showed that various HIV-1 subtypes were detected and among them, CRF01_AE (51.8%, 43/83), CRF07_BC (24.1%, 20/83) and B subtype (10.8%, 9/83) were the most epidemic strains. Moreover, the subtypes of newly identified recombinant strains in recent years accounted for 13.3% (11/83). Drug resistance test results showed that the pre-treatment drug resistance rate in newly diagnosed HIV-1 patients was 8.4% (7/83), and the drug resistance rates to protease inhibitor (PIs), non-nucleoside reverse transcriptase inhibitors (NNRTIs) and integrase inhibitors (INIs) were 3.6% (3/83), 1.2% (1/83) and 3.6% (3/83), respectively.

Conclusions:

The HIV-1 subtypes in the newly diagnosed population in Baoding in 2020 were complex and diverse. There were many unique recombinant strains and drug-resistant strains. Therefore, it was necessary to strengthen drug resistance monitoring as well as the prevention and control of HIV-1 infection in this area.
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Texto completo: 1 Banco de datos: WPRIM Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: Zh Revista: Chinese Journal of Microbiology and Immunology Año: 2022 Tipo del documento: Article
Texto completo: 1 Banco de datos: WPRIM Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: Zh Revista: Chinese Journal of Microbiology and Immunology Año: 2022 Tipo del documento: Article