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Antonova A, Kazennova E, Lebedev A, Ozhmegova E, Kuznetsova A, Tumanov A, Bobkova M. Recombinant Forms of HIV-1 in the Last Decade of the Epidemic in the Russian Federation. Viruses 2023; 15:2312. [PMID: 38140553 PMCID: PMC10748268 DOI: 10.3390/v15122312] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2023] [Revised: 11/22/2023] [Accepted: 11/23/2023] [Indexed: 12/24/2023] Open
Abstract
Currently, HIV-1 displays a substantial level of genetic diversity on a global scale, partly attributed to its recombinant variants. This study seeks to identify and analyze HIV-1 recombinants in Russia during the last decade of the epidemic. A comprehensive examination was conducted, encompassing 3178 partial pol sequences. Subtyping was achieved through various programs including COMET, the Stanford Database, REGA, jpHMM, RIP, and RDP4 for recombination analysis. The study also involved phylogenetic analysis to trace the origins of the identified recombinants. Primary resistance (PrimDR) prevalence and Drug Resistance Mutations (DRMs) were assessed. The study uncovered an overall proportion of recombinants at 8.7%, with a statistically significant increase in their frequency observed over time (p < 0.001). The Northwestern (18.5%) and Siberian (15.0%) Federal Districts exhibited a high prevalence of recombinants, while the Volga (1.9%) and Ural (2.8%) Federal Districts had a lower prevalence. Among HIV-1 recombinants, a PrimDR prevalence of 11.4% was identified. Notably, significant differences in DRMs were observed, with a higher prevalence of M184V in sub-subtype A6 (p = 0.018) and K103N in CRF63_02A6 (p = 0.002). These findings underscore the increasing HIV-1 genetic diversity and highlight a substantial prevalence of PrimDR among its recombinant forms, emphasizing the necessity for ongoing systematic monitoring.
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Affiliation(s)
- Anastasiia Antonova
- The National Research Center for Epidemiology and Microbiology Named after Honorary Academician N.F. Gamaleya of the Ministry of Health of the Russian Federation, 123098 Moscow, Russia; (E.K.); (A.L.); (E.O.); (A.K.); (A.T.)
| | - Elena Kazennova
- The National Research Center for Epidemiology and Microbiology Named after Honorary Academician N.F. Gamaleya of the Ministry of Health of the Russian Federation, 123098 Moscow, Russia; (E.K.); (A.L.); (E.O.); (A.K.); (A.T.)
| | - Aleksey Lebedev
- The National Research Center for Epidemiology and Microbiology Named after Honorary Academician N.F. Gamaleya of the Ministry of Health of the Russian Federation, 123098 Moscow, Russia; (E.K.); (A.L.); (E.O.); (A.K.); (A.T.)
| | - Ekaterina Ozhmegova
- The National Research Center for Epidemiology and Microbiology Named after Honorary Academician N.F. Gamaleya of the Ministry of Health of the Russian Federation, 123098 Moscow, Russia; (E.K.); (A.L.); (E.O.); (A.K.); (A.T.)
| | - Anna Kuznetsova
- The National Research Center for Epidemiology and Microbiology Named after Honorary Academician N.F. Gamaleya of the Ministry of Health of the Russian Federation, 123098 Moscow, Russia; (E.K.); (A.L.); (E.O.); (A.K.); (A.T.)
| | - Aleksandr Tumanov
- The National Research Center for Epidemiology and Microbiology Named after Honorary Academician N.F. Gamaleya of the Ministry of Health of the Russian Federation, 123098 Moscow, Russia; (E.K.); (A.L.); (E.O.); (A.K.); (A.T.)
| | - Marina Bobkova
- I. Mechnikov Research Institute for Vaccines and Sera, 105064 Moscow, Russia;
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The Effect of Pretreatment Potential Resistance to NNRTIs on Antiviral Therapy in Patients With HIV/AIDS. J Acquir Immune Defic Syndr 2022; 91:S27-S34. [PMID: 36094512 DOI: 10.1097/qai.0000000000003039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2021] [Accepted: 04/26/2022] [Indexed: 11/26/2022]
Abstract
BACKGROUND With the increasing coverage of antiretroviral therapy, concerns for the emergence and transmission of HIV drug resistance (HIVDR) are arising. HIVDR was divided into 5 levels: sensitive, potentially resistant, low resistant, intermediate resistant, and high resistant. Most of the articles on HIVDR involved low-level, intermediate-level, and high-level drug resistance to antiretroviral drug, and few articles deal with potential drug resistance. Treatment failure associated with the level of low-level, intermediate-level, and high-level resistance to antiretroviral drug has been reported. However, whether virological failure (VF) is related to potential resistance remains unclear. In this study, we aimed to describe the situation of potential resistance to antiretroviral drug and whether it is related to VF. METHODS We analyzed the demographic, behavioral information, medical history, and drug resistance-associated mutation data from subjects. Drug resistance mutations at baseline and time of failure in patients suffering VF were detected by using the Vela automated next-generation sequencing platform. The χ2 test or Fisher exact test and logistic regression were used to assess the risk factors that contribute to VF in the potential drug-resistant people. RESULTS The prevalence of overall pretreatment drug resistance was 7.06% (233/3300), and the prevalence of pretreatment potential resistance was 8.79% (290/3300). All these patients with pretreatment potential first-line drugs resistance showed potential resistance to nonnucleoside reverse transcriptase inhibitors (NNRTIs), and some of them had potential drug resistance to NNRTIs and NRTIs or NNRTIs and PIs; among these patients, 94.71% (179/189) had V179 D/E mutations. The VF rate of first-line treatment for potentially resistant people is 17.99%. CD4+ T-cell count ≤200 cells/L at antiretroviral therapy initiation are risk factors for the failure of first-line treatment. CONCLUSIONS The prevalence of potential drug resistance among individuals with HIV and the VF rate of first-line treatment for potential drug-resistant people were high. To better optimize clinical management, prevention, and control of HIV, attention should be devoted to the potential resistance of nonnucleoside drugs.
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Gao L, Xia H, Zeng R, Wu Y, Zaongo SD, Hu Y, Ma P. Pre-treatment and acquired antiretroviral drug resistance among people living with HIV in Tianjin, China. HIV Med 2022; 23 Suppl 1:84-94. [PMID: 35293099 DOI: 10.1111/hiv.13252] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2021] [Revised: 10/19/2021] [Accepted: 01/07/2022] [Indexed: 11/30/2022]
Abstract
OBJECTIVES This study investigated the prevalence and patterns of pre-treatment and acquired HIV drug resistance mutations among people living with HIV (PLWH) on antiretroviral therapy (ART) for 12 (±3) months in Tianjin, China. METHODS From Jan 2018 to Dec 2020, PLWH with HIV-1 RNA greater than 1000 copies/mL visiting the ART clinic in the Tianjin Second People's Hospital were enrolled. Viral RNA isolated from blood samples were taken for genotypic resistance testing using an in-house method. Major drug resistance mutations were analyzed for reverse transcriptase and protease Sanger sequences using the Stanford University HIV Drug Resistance Database. Multivariable Poisson regressions were used to evaluate the factors associated with drug resistance mutations. RESULTS HIV drug resistance testing was successfully performed on 584 ART-naive and 71 ART-experienced participants. Pre-treatment drug resistance mutation prevalence was 13.5% (79/584) to any antiretroviral drug, 12.5% (73/584) to non-nucleoside reverse transcriptase inhibitors (NNRTIs), 1.5% (9/584) to nucleoside reverse-transcriptase inhibitors (NRTIs), and 0.3% (2/584) to protease inhibitors (PIs). Acquired drug resistance to any antiretroviral drug among PLWH on ART with viral load >1000 copies/mL was 88.7% (63/71). The prevalence of mutation for NNRTIs, NRTIs, and PIs were 93.7% (59/63), 82.5% (52/63), and 3.2% (2/63), respectively. CONCLUSIONS Pre-treatment and acquired drug resistance mutations were highly prevalent among PLWH in Tianjin; therefore, routine baseline genotypic resistance testing and adequate intervals of viral load surveillance are urgently needed for the long-term treatment success. Our findings provide important evidence for first- and second-line regimen drugs for PLWH, especially in China.
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Affiliation(s)
- Liying Gao
- Department of Infectious Diseases, Tianjin Second People's Hospital, Tianjin, China
| | - Huan Xia
- Department of Infectious Diseases, Tianjin Second People's Hospital, Tianjin, China.,Tianjin Association of STD/AIDS Prevention and Control, Tianjin, China
| | - Rui Zeng
- Department of Infectious Diseases, Nanjing Lishui People's Hospital, Nanjing, Jiangsu, China
| | - Yue Wu
- Department of Infectious Diseases, Tianjin Second People's Hospital, Tianjin, China
| | - Silvere D Zaongo
- Division of Infectious Diseases, Chongqing Public Health Medical Center, Chongqing, China.,College of Basic Medicine, Chongqing Medical University, Chongqing, China
| | - Yue Hu
- Department of Infectious Diseases, Tianjin Second People's Hospital, Tianjin, China
| | - Ping Ma
- Department of Infectious Diseases, Tianjin Second People's Hospital, Tianjin, China.,Tianjin Association of STD/AIDS Prevention and Control, Tianjin, China
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Zhang F, Liang B, Liang X, Lin Z, Yang Y, Liang N, Yang Y, Liang H, Jiang J, Huang J, Huang R, Zhong S, Qin C, Jiang J, Ye L, Liang H. Using Molecular Transmission Networks to Reveal the Epidemic of Pretreatment HIV-1 Drug Resistance in Guangxi, China. Front Genet 2021; 12:688292. [PMID: 34567064 PMCID: PMC8460771 DOI: 10.3389/fgene.2021.688292] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2021] [Accepted: 06/29/2021] [Indexed: 11/13/2022] Open
Abstract
Introduction Pretreatment drug resistance (PDR) is becoming an obstacle to the success of ART. This study investigated the prevalence of PDR and the transmission clusters (TCs) of drug resistance mutations (DRMs) in two cities where drug abuse used to be high to describe the local HIV-1 transmission dynamics. Methods Plasma samples were obtained from 1,027 ART-naïve patients in Guangxi. Viral subtypes and DRMs were identified. Transmission network and related factors were also determined. Results A total of 1,025 eligible sequences were obtained from Qinzhou (65.8%) and Baise (34.2%) cities. The predominant HIV-1 genotype was CRF08_BC (45.0%), followed by CRF01_AE (40.9%). The overall prevalence of PDR was 8.3%, and resistance to NNRTI was the most common. Putative links with at least one other sequence were found in 543/1,025 (53.0%) sequences, forming 111 clusters (2–143 individuals). The most prevalent shared DRMs included V106I (45.35%), V179D (15.1%), and V179E (15.1%). Clusters related to shared DRMs were more frequent and larger in CRF08_BC. The prevalence of shared DRMs increased with time, while the proportion of PDR gradually decreased. Age > 50 years was associated with clustering. Subtype CRF08_BC was more likely to have DRMs, PDR propagation, and DRM sharing. Conclusion PDR prevalence is moderate in this region. The association between PDR and subtype CRF08_BC suggested that DRMs spreading from injection drug users (IDUs) to heterosexuals (HETs) might be the major source of PDR in this region. Our findings highlight the significance of continuous surveillance of PDR.
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Affiliation(s)
- Fei Zhang
- Guangxi Key Laboratory of AIDS Prevention and Treatment, School of Public Health, Guangxi Medical University, Nanning, China
| | - Bingyu Liang
- Guangxi Key Laboratory of AIDS Prevention and Treatment, School of Public Health, Guangxi Medical University, Nanning, China.,Guangxi Collaborative Innovation Center for Biomedicine, Life Science Institute, Guangxi Medical University, Nanning, China
| | - Xu Liang
- Baise Center for Disease Control and Prevention, Baise, China
| | - Zhaosen Lin
- Qinzhou Center for Disease Control and Prevention, Qinzhou, China
| | - Yuan Yang
- Guangxi Collaborative Innovation Center for Biomedicine, Life Science Institute, Guangxi Medical University, Nanning, China
| | - Na Liang
- Guangxi Key Laboratory of AIDS Prevention and Treatment, School of Public Health, Guangxi Medical University, Nanning, China
| | - Yao Yang
- Guangxi Key Laboratory of AIDS Prevention and Treatment, School of Public Health, Guangxi Medical University, Nanning, China
| | - Huayue Liang
- Guangxi Key Laboratory of AIDS Prevention and Treatment, School of Public Health, Guangxi Medical University, Nanning, China
| | - Jiaxiao Jiang
- Guangxi Key Laboratory of AIDS Prevention and Treatment, School of Public Health, Guangxi Medical University, Nanning, China
| | - Jiegang Huang
- Guangxi Key Laboratory of AIDS Prevention and Treatment, School of Public Health, Guangxi Medical University, Nanning, China
| | - Rongye Huang
- Qinzhou Center for Disease Control and Prevention, Qinzhou, China
| | - Shanmei Zhong
- Guangxi Key Laboratory of AIDS Prevention and Treatment, School of Public Health, Guangxi Medical University, Nanning, China
| | - Cai Qin
- Guangxi Key Laboratory of AIDS Prevention and Treatment, School of Public Health, Guangxi Medical University, Nanning, China
| | - Junjun Jiang
- Guangxi Key Laboratory of AIDS Prevention and Treatment, School of Public Health, Guangxi Medical University, Nanning, China.,Guangxi Collaborative Innovation Center for Biomedicine, Life Science Institute, Guangxi Medical University, Nanning, China
| | - Li Ye
- Guangxi Key Laboratory of AIDS Prevention and Treatment, School of Public Health, Guangxi Medical University, Nanning, China.,Guangxi Collaborative Innovation Center for Biomedicine, Life Science Institute, Guangxi Medical University, Nanning, China
| | - Hao Liang
- Guangxi Key Laboratory of AIDS Prevention and Treatment, School of Public Health, Guangxi Medical University, Nanning, China.,Guangxi Collaborative Innovation Center for Biomedicine, Life Science Institute, Guangxi Medical University, Nanning, China
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