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Retrospective analysis of HIV-1 drug resistance mutations in Suzhou, China from 2009 to 2014

Authors :
Ying Yuan
Xuerong Ya
Jun He
Yanhui Song
Chunsheng Dong
Ronghua Li
Jingping Hu
Yuan Li
Source :
Virus Genes. 56:557-563
Publication Year :
2020
Publisher :
Springer Science and Business Media LLC, 2020.

Abstract

In this study, we investigated drug resistance levels in human immunodeficiency virus (HIV)-1-infected patients in Suzhou by retrospectively analyzing this property and the characteristics of circulating HIV-1 strains collected from 2009 to 2014. A total of 261 HIV-1-positive plasma samples, confirmed by the Suzhou CDC, were collected and evaluated to detect HIV-1 drug resistance genotypes using an in-house method. The pol gene fragment was amplified, and its nucleic acid sequence was determined by Sanger sequencing. Drug resistance mutations were then analyzed using the Stanford University HIV resistance database ( https://hivdb.stanford.edu ). A total of 216 pol gene fragments were amplified and sequenced with 16.7% (36/216) of sequences revealing these mutations. The drug resistance rates of protease, nucleoside reverse transcriptase, and non-nucleoside reverse transcriptase inhibitors (NNRTIs) were 4/36 (11.1%), 2/36 (5.6%), and 30/36 (83.3%), respectively. Five surveillance drug resistance mutations were found in 36 sequences, of which, three were found among specimens of men who have sex with men. Potential low-level resistance accounted for 33% of amino acid mutations associated with NNRTIs. Two of the mutations, M230L and L100I, which confer a high level of resistance efavirenz (EFV) and nevirapine (NVP) used as NNRTIs for first-line antiretroviral therapy (ART), were detected in this study. Therefore, when HIV-1 patients in Suzhou are administered fist-line ART, much attention should be paid to the status of these mutations that cause resistance to EVP, EFV, and NVP.

Details

ISSN :
1572994X and 09208569
Volume :
56
Database :
OpenAIRE
Journal :
Virus Genes
Accession number :
edsair.doi.dedup.....8160253d097f8c7101ad480a8571b255
Full Text :
https://doi.org/10.1007/s11262-020-01774-0