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The transmission of drug-resistant strains of HIV in heterosexual populations based on genetic sequences

BACKGROUND: China’s National Free Antiretroviral Treatment Program (NFATP) has substantially reduced morbidity and HIV/AIDS incidence since 2003. However, HIV resistance to antiretroviral drugs (ARVs) has been a major challenge for the current treatment of HIV/AIDS in China. METHODS: In the current...

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Autores principales: Jin, Xin, Wang, Zhen, Zhang, Zhiyuan, Wu, Hui, Ruan, Yuhua, Zhang, Chen, Kang, Ruihua, Xing, Hui, Lou, Jie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8635345/
https://www.ncbi.nlm.nih.gov/pubmed/34851959
http://dx.doi.org/10.1371/journal.pone.0259023
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author Jin, Xin
Wang, Zhen
Zhang, Zhiyuan
Wu, Hui
Ruan, Yuhua
Zhang, Chen
Kang, Ruihua
Xing, Hui
Lou, Jie
author_facet Jin, Xin
Wang, Zhen
Zhang, Zhiyuan
Wu, Hui
Ruan, Yuhua
Zhang, Chen
Kang, Ruihua
Xing, Hui
Lou, Jie
author_sort Jin, Xin
collection PubMed
description BACKGROUND: China’s National Free Antiretroviral Treatment Program (NFATP) has substantially reduced morbidity and HIV/AIDS incidence since 2003. However, HIV resistance to antiretroviral drugs (ARVs) has been a major challenge for the current treatment of HIV/AIDS in China. METHODS: In the current study, we established a nested dynamic model to predict the multi-drug resistance dynamics of HIV among the heterosexual population and evaluated the impact of intervention measures on the transmission of drug resistance. We obtained an effective reproductive number [Image: see text] from each sub-model held at different stages of the dynamic model. Meanwhile, we applied Bayesian phylogenetic methods to infer the weighted average effective reproductive number [Image: see text] from four HIV subtypes that sampled from 912 HIV-positive patients in China. It is an original and innovative method by fitting [Image: see text] to [Image: see text] by Markov Chain Monte Carlo (MCMC) to generate unknown parameters in [Image: see text] . RESULTS: By analyzing the HIV gene sequences, we inferred that the most recent common ancestor of CRF01AE, CRF07BC, CRF08BC, and CRFBC dated from 1994, 1990, 1993 and 1990, respectively. The weighted average effective reproductive number [Image: see text] dropped from 1.95 in 1994 to 1.73 in 2018. Considering different interventions, we used a macro dynamic model to predict the trend of HIV resistance. The results show that the number of new infections and total drug resistance under the baseline parameter (S(1)) are 253,422 and 213,250 in 2025, respectively. Comparing with the numbers under the target treatment rate (S(2)), they were 219,717 and 236,890, respectively. However, under the ideal treatment target (S(3), the treatment rate reaches 90% and the treatment success rate reaches 90%), the number of new infections shows a declining trend and will decrease to 46,559 by 2025. Compared with S(1) and S(2), the total number of resistance also decreased to 160,899 in 2025. CONCLUSION: With the promotion of NFATP in China, HIV resistance to ARVs is inevitable. The strategy of increasing the treatment rate would not only ineffectively curb the epidemic, but also deteriorate drug resistance issue. Whereas, a combination of intervention strategies (the treatment rate reaches 90% and the treatment success rate reaches 90%) can greatly reduce both infection and drug resistance rate than applying one strategy alone.
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spelling pubmed-86353452021-12-02 The transmission of drug-resistant strains of HIV in heterosexual populations based on genetic sequences Jin, Xin Wang, Zhen Zhang, Zhiyuan Wu, Hui Ruan, Yuhua Zhang, Chen Kang, Ruihua Xing, Hui Lou, Jie PLoS One Research Article BACKGROUND: China’s National Free Antiretroviral Treatment Program (NFATP) has substantially reduced morbidity and HIV/AIDS incidence since 2003. However, HIV resistance to antiretroviral drugs (ARVs) has been a major challenge for the current treatment of HIV/AIDS in China. METHODS: In the current study, we established a nested dynamic model to predict the multi-drug resistance dynamics of HIV among the heterosexual population and evaluated the impact of intervention measures on the transmission of drug resistance. We obtained an effective reproductive number [Image: see text] from each sub-model held at different stages of the dynamic model. Meanwhile, we applied Bayesian phylogenetic methods to infer the weighted average effective reproductive number [Image: see text] from four HIV subtypes that sampled from 912 HIV-positive patients in China. It is an original and innovative method by fitting [Image: see text] to [Image: see text] by Markov Chain Monte Carlo (MCMC) to generate unknown parameters in [Image: see text] . RESULTS: By analyzing the HIV gene sequences, we inferred that the most recent common ancestor of CRF01AE, CRF07BC, CRF08BC, and CRFBC dated from 1994, 1990, 1993 and 1990, respectively. The weighted average effective reproductive number [Image: see text] dropped from 1.95 in 1994 to 1.73 in 2018. Considering different interventions, we used a macro dynamic model to predict the trend of HIV resistance. The results show that the number of new infections and total drug resistance under the baseline parameter (S(1)) are 253,422 and 213,250 in 2025, respectively. Comparing with the numbers under the target treatment rate (S(2)), they were 219,717 and 236,890, respectively. However, under the ideal treatment target (S(3), the treatment rate reaches 90% and the treatment success rate reaches 90%), the number of new infections shows a declining trend and will decrease to 46,559 by 2025. Compared with S(1) and S(2), the total number of resistance also decreased to 160,899 in 2025. CONCLUSION: With the promotion of NFATP in China, HIV resistance to ARVs is inevitable. The strategy of increasing the treatment rate would not only ineffectively curb the epidemic, but also deteriorate drug resistance issue. Whereas, a combination of intervention strategies (the treatment rate reaches 90% and the treatment success rate reaches 90%) can greatly reduce both infection and drug resistance rate than applying one strategy alone. Public Library of Science 2021-12-01 /pmc/articles/PMC8635345/ /pubmed/34851959 http://dx.doi.org/10.1371/journal.pone.0259023 Text en © 2021 Jin et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Jin, Xin
Wang, Zhen
Zhang, Zhiyuan
Wu, Hui
Ruan, Yuhua
Zhang, Chen
Kang, Ruihua
Xing, Hui
Lou, Jie
The transmission of drug-resistant strains of HIV in heterosexual populations based on genetic sequences
title The transmission of drug-resistant strains of HIV in heterosexual populations based on genetic sequences
title_full The transmission of drug-resistant strains of HIV in heterosexual populations based on genetic sequences
title_fullStr The transmission of drug-resistant strains of HIV in heterosexual populations based on genetic sequences
title_full_unstemmed The transmission of drug-resistant strains of HIV in heterosexual populations based on genetic sequences
title_short The transmission of drug-resistant strains of HIV in heterosexual populations based on genetic sequences
title_sort transmission of drug-resistant strains of hiv in heterosexual populations based on genetic sequences
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8635345/
https://www.ncbi.nlm.nih.gov/pubmed/34851959
http://dx.doi.org/10.1371/journal.pone.0259023
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