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[Analysis of virus gene subtypes and drug resistance monitoring results of newly reported HIV/AIDS population in Anhui Province from 2020 to 2023].
Qin, Y Z; Shen, Y L; Liu, A W; Wu, J J; Miu, L F; Fang, Q; Shuai, C X; Jin, L.
Afiliação
  • Qin YZ; Department of AIDS Prevention and Control, Anhui Center for Disease Control and Prevention, Hefei 230601, China.
  • Shen YL; Department of AIDS Prevention and Control, Anhui Center for Disease Control and Prevention, Hefei 230601, China.
  • Liu AW; Department of AIDS Prevention and Control, Anhui Center for Disease Control and Prevention, Hefei 230601, China.
  • Wu JJ; Department of AIDS Prevention and Control, Anhui Center for Disease Control and Prevention, Hefei 230601, China.
  • Miu LF; Department of AIDS Prevention and Control, Anhui Center for Disease Control and Prevention, Hefei 230601, China.
  • Fang Q; Department of AIDS Prevention and Control, Anhui Center for Disease Control and Prevention, Hefei 230601, China.
  • Shuai CX; Department of AIDS Prevention and Control, Anhui Center for Disease Control and Prevention, Hefei 230601, China.
  • Jin L; Department of AIDS Prevention and Control, Anhui Center for Disease Control and Prevention, Hefei 230601, China.
Zhonghua Yu Fang Yi Xue Za Zhi ; 58(8): 1204-1212, 2024 Aug 06.
Article em Zh | MEDLINE | ID: mdl-39142890
ABSTRACT

Objective:

To investigate the genetic subtypes and drug resistance monitoring of newly reported human immunodeficiency virus (HIV) infection/AIDS virus in Anhui Province from 2020 to 2023.

Methods:

An observational design study was used to collect blood samples from patients diagnosed with HIV/AIDS in the AIDS Prevention and Control Department of Anhui Provincial Center for Disease Control and Prevention from January 2020 to December 2023.The HIV-1 pol gene was amplified by reverse transcription-nested PCR, and the genetic subtypes were identified by phylogenetic tree analysis using MEGA 7.0 software. The mutation sites of drug resistance were analyzed by the online software tool of Stanford University's HIV Drug resistance database. The influencing factors of drug resistance before treatment were analyzed by multivariate logistic analysis.

Results:

A total of 335 plasma samples were collected, and 332 HIV-1 pol gene sequences were obtained successfully. The main gene subtypes were CRF01-AE, accounting for 35.55% (118/332), followed by CRF07-BC, B and B+C types [29.22% (97/332), 11.74% (39/332), 9.93% (33/332)]. The total drug resistance rate before treatment was 30.12%(32/100), and the drug resistance rate of protease inhibitor (PIs) in HIV-1 was 6.33% (21/332). The drug resistance rate of nucleoside reverse transcriptase inhibitors (NRTI) before treatment was 6.33% (21/332). The drug resistance rate of non-nucleoside reverse transcriptase inhibitors (NNRTI) before treatment was 17.47% (58/332).The comparison of drug resistance rate of different drug types showed statistical significance (χ2=30.435, P<0.05).Among the 100 cases of drug resistance, the main mutation point of HIV-1 protease inhibitor was Q58E (21.00%), and the main mutation point of nucleoside reverse transcriptase inhibitor was M184V/I (6.00%). Non-nucleoside reverse transcriptase inhibitor resistance mutation points mainly K103N (22.00%).There were statistically significant differences in the starting time of antiviral therapy, the number of CD4+T cells at baseline and the drug resistance rate of gene subtypes (the chi-square values are respectively 24.152, 32.516, 11.652, P<0.05).Multivariate logistic analysis showed that the baseline CD4+T cell count was <200/µl, subtype B, subtype B+C, CRF01-AE subtype, CRF55-01B subtype and 01-BC subtype was the influential factor of drug resistance before treatment (the chi-square values are respectively 4.577, 8.202, 4.416, 5.206, 7.603 and 4.804, P<0.05).

Conclusion:

The newly reported HIV/AIDS population in Anhui Province from 2020 to 2023 has a variety of viral gene subtypes, and NNRTIs are the main types of drug resistance gene mutations before treatment. Attention should be paid to the number of baseline CD4+T cells, the duration of antiviral treatment, and the distribution of gene subtypes to reduce the drug resistance of HIV/AIDS patients before treatment.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Síndrome da Imunodeficiência Adquirida / HIV-1 / Farmacorresistência Viral / Genótipo Limite: Humans País como assunto: Asia Idioma: Zh Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Síndrome da Imunodeficiência Adquirida / HIV-1 / Farmacorresistência Viral / Genótipo Limite: Humans País como assunto: Asia Idioma: Zh Ano de publicação: 2024 Tipo de documento: Article