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HIV-1 pretreatment drug resistance and genetic transmission network in the southwest border region of China

BACKGROUND: HIV drug resistance increased with the widespread use of antiretroviral drugs, and posed great threat to antiretroviral therapy (ART). Pu’er Prefecture, lying in the southwest of Yunnan Province, China, borders Myanmar, Laos and Vietnam, is also the area where AIDS was discovered earlier...

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Autores principales: Li, Difei, Chen, Huichao, Li, Huilan, Ma, Yanling, Dong, Lijuan, Dai, Jie, Jin, Xiaomei, Yang, Min, Zeng, Zhijun, Sun, Pengyan, Song, Zhizhong, Chen, Min
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9483295/
https://www.ncbi.nlm.nih.gov/pubmed/36117159
http://dx.doi.org/10.1186/s12879-022-07734-3
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author Li, Difei
Chen, Huichao
Li, Huilan
Ma, Yanling
Dong, Lijuan
Dai, Jie
Jin, Xiaomei
Yang, Min
Zeng, Zhijun
Sun, Pengyan
Song, Zhizhong
Chen, Min
author_facet Li, Difei
Chen, Huichao
Li, Huilan
Ma, Yanling
Dong, Lijuan
Dai, Jie
Jin, Xiaomei
Yang, Min
Zeng, Zhijun
Sun, Pengyan
Song, Zhizhong
Chen, Min
author_sort Li, Difei
collection PubMed
description BACKGROUND: HIV drug resistance increased with the widespread use of antiretroviral drugs, and posed great threat to antiretroviral therapy (ART). Pu’er Prefecture, lying in the southwest of Yunnan Province, China, borders Myanmar, Laos and Vietnam, is also the area where AIDS was discovered earlier, however, in which there has been no information on HIV drug resistance. METHODS: A cross-sectional survey of pretreatment drug resistance (PDR) was conducted in Pu’er Prefecture in 2021. Partial pol gene sequences were obtained to analyze drug resistance and construct genetic transmission network. HIV drug resistance was analyzed using the Stanford University HIVdb algorithm. RESULTS: A total of 295 sequences were obtained, among which 11 HIV-1 strain types were detected and CRF08_BC (62.0%, 183/295) was the predominant one. Drug resistance mutations (DRMs) were detected in 42.4% (125/295) of the sequences. The prevalence of PDR to any antiretroviral drugs, nucleoside reverse transcriptase inhibitors (NRTIs), non-nucleoside reverse transcriptase inhibitors (NNRTIs) and protease inhibitors (PIs) were 10.8% (32/295), 9.5% (28/295), 1.0% (3/295) and 0.3% (1/295), respectively. The risk of PDR occurrence was higher among individuals with CRF01_AE strain types. HIV-1 molecular network was constructed, in which 56.0% (42/75) of links were transregional, and 54.7% (41/75) of links were associated with Lancang County. Among the sequences in the network, 36.8% (35/95) harbored DRMs, and 9.5% (9/95) were drug resistance strains. Furthermore, 8 clusters had shared DRM. CONCLUSION: The overall prevalence of PDR in this study was in a moderate level, but NNRTIs resistance was very approaching to the threshold of public response initiation. PDR was identified in the transmission network, and DRMs transmission was observed. These findings suggested that the consecutive PDR surveillance should be conducted in this region. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12879-022-07734-3.
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spelling pubmed-94832952022-09-19 HIV-1 pretreatment drug resistance and genetic transmission network in the southwest border region of China Li, Difei Chen, Huichao Li, Huilan Ma, Yanling Dong, Lijuan Dai, Jie Jin, Xiaomei Yang, Min Zeng, Zhijun Sun, Pengyan Song, Zhizhong Chen, Min BMC Infect Dis Research BACKGROUND: HIV drug resistance increased with the widespread use of antiretroviral drugs, and posed great threat to antiretroviral therapy (ART). Pu’er Prefecture, lying in the southwest of Yunnan Province, China, borders Myanmar, Laos and Vietnam, is also the area where AIDS was discovered earlier, however, in which there has been no information on HIV drug resistance. METHODS: A cross-sectional survey of pretreatment drug resistance (PDR) was conducted in Pu’er Prefecture in 2021. Partial pol gene sequences were obtained to analyze drug resistance and construct genetic transmission network. HIV drug resistance was analyzed using the Stanford University HIVdb algorithm. RESULTS: A total of 295 sequences were obtained, among which 11 HIV-1 strain types were detected and CRF08_BC (62.0%, 183/295) was the predominant one. Drug resistance mutations (DRMs) were detected in 42.4% (125/295) of the sequences. The prevalence of PDR to any antiretroviral drugs, nucleoside reverse transcriptase inhibitors (NRTIs), non-nucleoside reverse transcriptase inhibitors (NNRTIs) and protease inhibitors (PIs) were 10.8% (32/295), 9.5% (28/295), 1.0% (3/295) and 0.3% (1/295), respectively. The risk of PDR occurrence was higher among individuals with CRF01_AE strain types. HIV-1 molecular network was constructed, in which 56.0% (42/75) of links were transregional, and 54.7% (41/75) of links were associated with Lancang County. Among the sequences in the network, 36.8% (35/95) harbored DRMs, and 9.5% (9/95) were drug resistance strains. Furthermore, 8 clusters had shared DRM. CONCLUSION: The overall prevalence of PDR in this study was in a moderate level, but NNRTIs resistance was very approaching to the threshold of public response initiation. PDR was identified in the transmission network, and DRMs transmission was observed. These findings suggested that the consecutive PDR surveillance should be conducted in this region. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12879-022-07734-3. BioMed Central 2022-09-19 /pmc/articles/PMC9483295/ /pubmed/36117159 http://dx.doi.org/10.1186/s12879-022-07734-3 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Li, Difei
Chen, Huichao
Li, Huilan
Ma, Yanling
Dong, Lijuan
Dai, Jie
Jin, Xiaomei
Yang, Min
Zeng, Zhijun
Sun, Pengyan
Song, Zhizhong
Chen, Min
HIV-1 pretreatment drug resistance and genetic transmission network in the southwest border region of China
title HIV-1 pretreatment drug resistance and genetic transmission network in the southwest border region of China
title_full HIV-1 pretreatment drug resistance and genetic transmission network in the southwest border region of China
title_fullStr HIV-1 pretreatment drug resistance and genetic transmission network in the southwest border region of China
title_full_unstemmed HIV-1 pretreatment drug resistance and genetic transmission network in the southwest border region of China
title_short HIV-1 pretreatment drug resistance and genetic transmission network in the southwest border region of China
title_sort hiv-1 pretreatment drug resistance and genetic transmission network in the southwest border region of china
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9483295/
https://www.ncbi.nlm.nih.gov/pubmed/36117159
http://dx.doi.org/10.1186/s12879-022-07734-3
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