Literature DB >> 34195923

Prevalence of transmitted HIV-1 drug resistance among treatment-naive individuals in China, 2000-2016.

Huangbo Yuan1,2, Zhenqiu Liu2, Xuefu Wu1, Mingshan Wu1, Qiwen Fang1, Xin Zhang1, Tingting Shi1, Damien C Tully3, Tiejun Zhang4.   

Abstract

Human immunodeficiency virus (HIV) with transmitted drug-resistance (TDR) limits the therapeutic options available for treatment-naive HIV patients. This study aimed to further our understanding of the prevalence and transmission characteristics of HIV with TDR for the application of first-line antiretroviral regimens. A total of 6578 HIV-1 protease/reverse-transcriptase sequences from treatment-naive individuals in China between 2000 and 2016 were obtained from the Los Alamos HIV Sequence Database and were analyzed for TDR. Transmission networks were constructed to determine genetic relationships. The spreading routes of large TDR clusters were identified using a Bayesian phylogeographic framework. TDR mutations were detected in 274 (4.51%) individuals, with 1.40% associated with resistance to nucleoside reverse transcriptase inhibitors, 1.52% to non-nucleoside reverse transcriptase inhibitors, and 1.87% to protease inhibitors. The most frequent mutation was M46L (58, 0.89%), followed by K103N (36, 0.55%), M46I (36, 0.55%), and M184V (26, 0.40%). The prevalence of total TDR initially decreased between 2000 and 2010 (OR = 0.83, 95% CI 0.73-0.95) and then increased thereafter (OR = 1.50, 95% CI 1.13-1.97). The proportion of sequences in a cluster (clustering rate) among HIV isolates with TDR sequences was lower than that of sequences without TDR (40.5% vs. 48.8%, P = 0.023) and increased from 27.3% in 2005-2006 to 63.6% in 2015-2016 (P < 0.001). While most TDR mutations were associated with reduced relative transmission fitness, mutation M46I was associated with higher relative transmission fitness than the wild-type strain. This study identified a low-level prevalence of TDR HIV in China during the last two decades. However, the increasing TDR HIV rate since 2010, the persistent circulation of drug resistance mutations, and the expansion of self-sustaining drug resistance reservoirs may compromise the efficacy of antiretroviral therapy programs.
© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Austria, part of Springer Nature.

Entities:  

Year:  2021        PMID: 34195923     DOI: 10.1007/s00705-021-05140-9

Source DB:  PubMed          Journal:  Arch Virol        ISSN: 0304-8608            Impact factor:   2.574


  29 in total

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Authors:  Beatriz Grinsztejn; Mina C Hosseinipour; Heather J Ribaudo; Susan Swindells; Joseph Eron; Ying Q Chen; Lei Wang; San-San Ou; Maija Anderson; Marybeth McCauley; Theresa Gamble; Nagalingeshwaran Kumarasamy; James G Hakim; Johnstone Kumwenda; Jose H S Pilotto; Sheela V Godbole; Suwat Chariyalertsak; Marineide Gonçalves de Melo; Kenneth H Mayer; Susan H Eshleman; Estelle Piwowar-Manning; Joseph Makhema; Lisa A Mills; Ravindre Panchia; Ian Sanne; Joel Gallant; Irving Hoffman; Taha E Taha; Karin Nielsen-Saines; David Celentano; Max Essex; Diane Havlir; Myron S Cohen
Journal:  Lancet Infect Dis       Date:  2014-03-04       Impact factor: 25.071

4.  HIV population dynamics in vivo: implications for genetic variation, pathogenesis, and therapy.

Authors:  J M Coffin
Journal:  Science       Date:  1995-01-27       Impact factor: 47.728

5.  Long-term effectiveness of potent antiretroviral therapy in preventing AIDS and death: a prospective cohort study.

Authors:  Jonathan A C Sterne; Miguel A Hernán; Bruno Ledergerber; Kate Tilling; Rainer Weber; Pedram Sendi; Martin Rickenbach; James M Robins; Matthias Egger
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6.  The prevalence of HIV-1 drug resistance among antiretroviral treatment naïve individuals in mainland China: a meta-analysis.

Authors:  Yingying Su; Fujie Zhang; Huixin Liu; M Kumi Smith; Lin Zhu; Jing Wu; Ning Wang
Journal:  PLoS One       Date:  2014-10-24       Impact factor: 3.240

7.  Prevalence of Transmitted HIV drug resistance in antiretroviral treatment naïve newly diagnosed individuals in China.

Authors:  Shuai Zhao; Yi Feng; Jing Hu; Yang Li; Zhongbao Zuo; Jing Yan; Jing Zhang; Pi Cao; Wei Xu; Fan Li; Yuxueyun Li; Lingjie Liao; Yuhua Ruan; Yiming Shao; Hui Xing
Journal:  Sci Rep       Date:  2018-08-16       Impact factor: 4.379

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Authors:  Soo-Yon Rhee; Dana Clutter; W Jeffrey Fessel; Daniel Klein; Sally Slome; Benjamin A Pinsky; Julia L Marcus; Leo Hurley; Michael J Silverberg; Sergei L Kosakovsky Pond; Robert W Shafer
Journal:  Clin Infect Dis       Date:  2019-01-07       Impact factor: 9.079

9.  Predictors of HIV virological failure and drug resistance in Chinese patients after 48 months of antiretroviral treatment, 2008-2012: a prospective cohort study.

Authors:  Wei Kan; Tao Teng; Shujia Liang; Yanling Ma; Heng Tang; Tuerdi Zuohela; Guoqing Sun; Cui He; Kristin M Wall; Vincent C Marconi; Lingjie Liao; Xuebing Leng; Pengtao Liu; Yuhua Ruan; Hui Xing; Yiming Shao
Journal:  BMJ Open       Date:  2017-09-07       Impact factor: 2.692

10.  HIV-1 drug resistance before initiation or re-initiation of first-line antiretroviral therapy in low-income and middle-income countries: a systematic review and meta-regression analysis.

Authors:  Ravindra K Gupta; John Gregson; Neil Parkin; Hiwot Haile-Selassie; Amilcar Tanuri; Liliana Andrade Forero; Pontiano Kaleebu; Christine Watera; Avelin Aghokeng; Nicholus Mutenda; Janet Dzangare; San Hone; Zaw Zaw Hang; Judith Garcia; Zully Garcia; Paola Marchorro; Enrique Beteta; Amalia Giron; Raph Hamers; Seth Inzaule; Lisa M Frenkel; Michael H Chung; Tulio de Oliveira; Deenan Pillay; Kogie Naidoo; Ayesha Kharsany; Ruthiran Kugathasan; Teresa Cutino; Gillian Hunt; Santiago Avila Rios; Meg Doherty; Michael R Jordan; Silvia Bertagnolio
Journal:  Lancet Infect Dis       Date:  2017-12-05       Impact factor: 25.071

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2.  Drug Resistance Mechanism of M46I-Mutation-Induced Saquinavir Resistance in HIV-1 Protease Using Molecular Dynamics Simulation and Binding Energy Calculation.

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