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Jin M, Zhu X, Yang Z, Liu X, Li J, Wu Z. HIV subtypes and molecular transmission characteristics among elderly HIV-infected individuals aged 50 and above: a cross-sectional study in Huzhou City, Eastern China. BMJ Open 2024; 14:e085646. [PMID: 38816041 PMCID: PMC11138305 DOI: 10.1136/bmjopen-2024-085646] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/22/2024] [Accepted: 05/10/2024] [Indexed: 06/01/2024] Open
Abstract
OBJECTIVE To analyse the HIV-1 subtypes and molecular transmission characteristics of HIV-infected older individuals aged 50 and above in Huzhou City, and provide a scientific basis for prevention and treatment strategies for them. DESIGN A cross-sectional study with clustered molecular transmission network cases was performed, and basic epidemiological information was retrieved from the Chinese Centres for Disease Prevention and Control (CDC) Information System. SETTING AND PARTICIPANTS A molecular epidemiological study was conducted in 899 newly diagnosed HIV-infected individuals from January 2019 and March 2023 in Huzhou city, Zhejiang province, Eastern China. Out of these, HIV sequences were successfully obtained from 673 individuals, including 274 who were older individuals aged 50 and above. PRIMARY AND SECONDARY OUTCOMES Reverse transcription-polymerase chain reaction (PCR) and nested PCR were used to amplify the polymerase gene of HIV-1, and gene sequencing was performed. We used univariate and multivariate logistic regression to describe the association of clustered molecular transmission network cases. RESULTS In total, 274 valid HIV sequences of older individuals were obtained, which revealed 14 subtypes. Circulating recombinant forms (CRF) 07_BC accounted for 55.8% and CRF01_AE accounted for 20.1% of the subtypes. Data of 150 older individuals were included in the molecular transmission network, and the proportion of elderly individuals in clustered cases is 52.26% (150/287). The results of multivariable logistic regression analysis showed that the older age group (60-82 years) and CRF07_BC subtype were associated with case clustering (transmission risk). CONCLUSIONS The key high-risk transmission network was mainly composed of the older age group (60-82 years) and CRF07_BC subtype. It is necessary to further strengthen AIDS health promotion and education for individuals aged 60 years and above, as well as for patients with the CRF07_BC subtype, to reduce HIV transmission and clustering risk.
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Affiliation(s)
- Meihua Jin
- Huzhou Center for Disease Control and Prevention, Huzhou, Zhejiang, China
| | - Xiaojuan Zhu
- Huzhou Center for Disease Control and Prevention, Huzhou, Zhejiang, China
| | - Zhongrong Yang
- Huzhou Center for Disease Control and Prevention, Huzhou, Zhejiang, China
| | - Xiaoqi Liu
- Huzhou Center for Disease Control and Prevention, Huzhou, Zhejiang, China
| | - Jing Li
- Huzhou Center for Disease Control and Prevention, Huzhou, Zhejiang, China
| | - Zhenqian Wu
- Huzhou Center for Disease Control and Prevention, Huzhou, Zhejiang, China
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Chen H, Hao J, Hu J, Song C, Zhou Y, Li M, Chen J, Liu X, Wang D, Xu X, Xin P, Zhang J, Liao L, Feng Y, Li D, Pan SW, Shao Y, Ruan Y, Xing H. Pretreatment HIV Drug Resistance and the Molecular Transmission Network Among HIV-Positive Individuals in China in 2022: Multicenter Observational Study. JMIR Public Health Surveill 2023; 9:e50894. [PMID: 37976080 PMCID: PMC10692882 DOI: 10.2196/50894] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Revised: 09/10/2023] [Accepted: 10/06/2023] [Indexed: 11/19/2023] Open
Abstract
BACKGROUND Emerging HIV drug resistance caused by increased usage of antiretroviral drugs (ARV) could jeopardize the success of standardized HIV management protocols in resource-limited settings. OBJECTIVE We aimed to characterize pretreatment HIV drug resistance (PDR) among HIV-positive individuals and risk factors in China in 2022. METHODS This cross-sectional study was conducted using 2-stage systematic sampling according to the World Health Organization's surveillance guidelines in 8 provincial-level administrative divisions in 2022. Demographic information and plasma samples were obtained from study participants. PDR was analyzed using the Stanford HIV drug resistance database, and the Tamura-Nei 93 model in HIV-TRACE was used to calculate pairwise matches with a genetic distance of 0.01 substitutions per site. Logistic regression was used to identify and estimate factors associated with PDR. RESULTS PDR testing was conducted on 2568 participants in 2022. Of the participants, 34.8% (n=893) were aged 30-49 years, 81.4% (n=2091) were male, and 3.2% (n=81) had prior ARV exposure. The prevalence of PDR to protease and reverse transcriptase regions, nonnucleoside reverse transcriptase inhibitors, nucleoside reverse transcriptase inhibitors, and protease inhibitors were 7.4% (n=190), 6.3% (n=163), 1.2% (n=32), and 0.2% (n=5), respectively. Yunnan, Jilin, and Zhejiang had much higher PDR incidence than did Sichuan. The prevalence of nonnucleoside reverse transcriptase inhibitor-related drug resistance was 6.1% (n=157) for efavirenz and 6.3% (n=163) for nevirapine. Multivariable logistic regression models indicated that participants who had prior ARV exposure (odds ratio [OR] 7.45, 95% CI 4.50-12.34) and the CRF55_01B HIV subtype (OR 2.61, 95% CI 1.41-4.83) were significantly associated with PDR. Among 618 (24.2%) sequences (nodes) associated with 253 molecular transmission clusters (size range 2-13), drug resistance mutation sites included K103, E138, V179, P225, V106, V108, L210, T215, P225, K238, and A98. CONCLUSIONS The overall prevalence of PDR in China in 2022 was modest. Targeted genotypic PDR testing and medication compliance interventions must be urgently expanded to address PDR among newly diagnosed people living with HIV in China.
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Affiliation(s)
- Hongli Chen
- National Center for AIDS/STD Control and Prevention (NCAIDS), Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
- Sichuan Nursing Vocational College, Chengdu, China
| | - Jingjing Hao
- National Center for AIDS/STD Control and Prevention (NCAIDS), Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Jing Hu
- National Center for AIDS/STD Control and Prevention (NCAIDS), Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Chang Song
- National Center for AIDS/STD Control and Prevention (NCAIDS), Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Yesheng Zhou
- National Center for AIDS/STD Control and Prevention (NCAIDS), Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Miaomiao Li
- National Center for AIDS/STD Control and Prevention (NCAIDS), Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Jin Chen
- National Center for AIDS/STD Control and Prevention (NCAIDS), Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Xiu Liu
- National Center for AIDS/STD Control and Prevention (NCAIDS), Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Dong Wang
- National Center for AIDS/STD Control and Prevention (NCAIDS), Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Xiaoshan Xu
- National Center for AIDS/STD Control and Prevention (NCAIDS), Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Peixian Xin
- National Center for AIDS/STD Control and Prevention (NCAIDS), Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Jiaxin Zhang
- National Center for AIDS/STD Control and Prevention (NCAIDS), Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Lingjie Liao
- National Center for AIDS/STD Control and Prevention (NCAIDS), Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Yi Feng
- National Center for AIDS/STD Control and Prevention (NCAIDS), Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Dan Li
- National Center for AIDS/STD Control and Prevention (NCAIDS), Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Stephen W Pan
- Department of Public Health, The University of Texas at San Antonio, San Antonio, TX, United States
| | - Yiming Shao
- National Center for AIDS/STD Control and Prevention (NCAIDS), Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Yuhua Ruan
- National Center for AIDS/STD Control and Prevention (NCAIDS), Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Hui Xing
- National Center for AIDS/STD Control and Prevention (NCAIDS), Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
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Nduva GM, Otieno F, Kimani J, McKinnon LR, Cholette F, Sandstrom P, Graham SM, Price MA, Smith AD, Bailey RC, Hassan AS, Esbjörnsson J, Sanders EJ. Phylogeographic Assessment Reveals Geographic Sources of HIV-1 Dissemination Among Men Who Have Sex With Men in Kenya. Front Microbiol 2022; 13:843330. [PMID: 35356525 PMCID: PMC8959701 DOI: 10.3389/fmicb.2022.843330] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/25/2021] [Accepted: 01/19/2022] [Indexed: 12/14/2022] Open
Abstract
HIV-1 transmission dynamics involving men who have sex with men (MSM) in Africa are not well understood. We investigated the rates of HIV-1 transmission between MSM across three regions in Kenya: Coast, Nairobi, and Nyanza. We analyzed 372 HIV-1 partial pol sequences sampled during 2006-2019 from MSM in Coast (N = 178, 47.9%), Nairobi (N = 137, 36.8%), and Nyanza (N = 57, 15.3%) provinces in Kenya. Maximum-likelihood (ML) phylogenetics and Bayesian inference were used to determine HIV-1 clusters, evolutionary dynamics, and virus migration rates between geographic regions. HIV-1 sub-subtype A1 (72.0%) was most common followed by subtype D (11.0%), unique recombinant forms (8.9%), subtype C (5.9%), CRF 21A2D (0.8%), subtype G (0.8%), CRF 16A2D (0.3%), and subtype B (0.3%). Forty-six clusters (size range 2-20 sequences) were found-half (50.0%) of which had evidence of extensive HIV-1 mixing among different provinces. Data revealed an exponential increase in infections among MSM during the early-to-mid 2000s and stable or decreasing transmission dynamics in recent years (2017-2019). Phylogeographic inference showed significant (Bayes factor, BF > 3) HIV-1 dissemination from Coast to Nairobi and Nyanza provinces, and from Nairobi to Nyanza province. Strengthening HIV-1 prevention programs to MSM in geographic locations with higher HIV-1 prevalence among MSM (such as Coast and Nairobi) may reduce HIV-1 incidence among MSM in Kenya.
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Affiliation(s)
- George M. Nduva
- Department of Translational Medicine, Lund University, Lund, Sweden
- Kenya Medical Research Institute-Wellcome Trust Research Programme, Kilifi, Kenya
| | | | - Joshua Kimani
- Department of Medical Microbiology, University of Nairobi, Nairobi, Kenya
- Department of Medical Microbiology and Infectious Diseases, University of Manitoba, Winnipeg, MB, Canada
| | - Lyle R. McKinnon
- Department of Medical Microbiology, University of Nairobi, Nairobi, Kenya
- Department of Medical Microbiology and Infectious Diseases, University of Manitoba, Winnipeg, MB, Canada
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), Durban, South Africa
| | - Francois Cholette
- Department of Medical Microbiology and Infectious Diseases, University of Manitoba, Winnipeg, MB, Canada
- National Microbiology Laboratory at the JC Wilt Infectious Diseases Research Centre, Public Health Agency of Canada, Winnipeg, MB, Canada
| | - Paul Sandstrom
- National Microbiology Laboratory at the JC Wilt Infectious Diseases Research Centre, Public Health Agency of Canada, Winnipeg, MB, Canada
| | - Susan M. Graham
- Kenya Medical Research Institute-Wellcome Trust Research Programme, Kilifi, Kenya
- Department of Epidemiology, University of Washington, Seattle, WA, United States
| | - Matt A. Price
- IAVI, San Francisco, CA, United States
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, United States
| | - Adrian D. Smith
- Nuffield Department of Medicine, The University of Oxford, Oxford, United Kingdom
| | - Robert C. Bailey
- Nyanza Reproductive Health Society, Kisumu, Kenya
- Division of Epidemiology and Biostatistics, University of Illinois Chicago, Chicago, IL, United States
| | - Amin S. Hassan
- Department of Translational Medicine, Lund University, Lund, Sweden
- Kenya Medical Research Institute-Wellcome Trust Research Programme, Kilifi, Kenya
| | - Joakim Esbjörnsson
- Department of Translational Medicine, Lund University, Lund, Sweden
- Nuffield Department of Medicine, The University of Oxford, Oxford, United Kingdom
| | - Eduard J. Sanders
- Kenya Medical Research Institute-Wellcome Trust Research Programme, Kilifi, Kenya
- Nuffield Department of Medicine, The University of Oxford, Oxford, United Kingdom
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Nduva GM, Otieno F, Kimani J, Wahome E, McKinnon LR, Cholette F, Majiwa M, Masika M, Mutua G, Anzala O, Graham SM, Gelmon L, Price MA, Smith AD, Bailey RC, Baele G, Lemey P, Hassan AS, Sanders EJ, Esbjörnsson J. Quantifying rates of HIV-1 flow between risk groups and geographic locations in Kenya: A country-wide phylogenetic study. Virus Evol 2022; 8:veac016. [PMID: 35356640 PMCID: PMC8962731 DOI: 10.1093/ve/veac016] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Revised: 02/23/2022] [Accepted: 03/01/2022] [Indexed: 12/14/2022] Open
Abstract
In Kenya, HIV-1 key populations including men having sex with men (MSM), people who inject drugs (PWID) and female sex workers (FSW) are thought to significantly contribute to HIV-1 transmission in the wider, mostly heterosexual (HET) HIV-1 transmission network. However, clear data on HIV-1 transmission dynamics within and between these groups are limited. We aimed to empirically quantify rates of HIV-1 flow between key populations and the HET population, as well as between different geographic regions to determine HIV-1 'hotspots' and their contribution to HIV-1 transmission in Kenya. We used maximum-likelihood phylogenetic and Bayesian inference to analyse 4058 HIV-1 pol sequences (representing 0.3 per cent of the epidemic in Kenya) sampled 1986-2019 from individuals of different risk groups and regions in Kenya. We found 89 per cent within-risk group transmission and 11 per cent mixing between risk groups, cyclic HIV-1 exchange between adjoining geographic provinces and strong evidence of HIV-1 dissemination from (i) West-to-East (i.e. higher-to-lower HIV-1 prevalence regions), and (ii) heterosexual-to-key populations. Low HIV-1 prevalence regions and key populations are sinks rather than major sources of HIV-1 transmission in Kenya. Targeting key populations in Kenya needs to occur concurrently with strengthening interventions in the general epidemic.
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Affiliation(s)
- George M Nduva
- Department of Translational Medicine, Lund University, Faculty of Medicine, Lund University, Box 117 SE-221 00 Lund, Sweden
- Kenya Medical Research Institute-Wellcome Trust Research Programme, KEMRI-Center For Geographic Medicine Research, P.O. Box 230-80108, Kilifi, Kenya
| | - Frederick Otieno
- Nyanza Reproductive Health Society, United Mall, P.O. Box 1764, Kisumu, Kenya
| | - Joshua Kimani
- Department of Medical Microbiology, University of Nairobi, P.O. Box 30197-00100, Nairobi, Kenya
- Department of Medical Microbiology and Infectious Diseases, University of Manitoba, Max Rady College of Medicine, Room 543-745 Bannatyne Avenue, University of Manitoba (Bannatyne campus), Winnipeg MB R3E 0J9, Canada
| | - Elizabeth Wahome
- Kenya Medical Research Institute-Wellcome Trust Research Programme, KEMRI-Center For Geographic Medicine Research, P.O. Box 230-80108, Kilifi, Kenya
| | - Lyle R McKinnon
- Department of Medical Microbiology, University of Nairobi, P.O. Box 30197-00100, Nairobi, Kenya
- Department of Medical Microbiology and Infectious Diseases, University of Manitoba, Max Rady College of Medicine, Room 543-745 Bannatyne Avenue, University of Manitoba (Bannatyne campus), Winnipeg MB R3E 0J9, Canada
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), Doris Duke Medical Research Institute, Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Private Bag X7, Congella 4013, South Africa
| | - Francois Cholette
- Department of Medical Microbiology and Infectious Diseases, University of Manitoba, Max Rady College of Medicine, Room 543-745 Bannatyne Avenue, University of Manitoba (Bannatyne campus), Winnipeg MB R3E 0J9, Canada
- National Microbiology Laboratory at the JC Wilt Infectious Diseases Research Centre, Public Health Agency of Canada, 745 Logan Avenue, Winnipeg, Canada
| | - Maxwell Majiwa
- Kenya Medical Research Institute/Center for Global Health Research, KEMRI-CGHR, P.O. Box 20778-00202, Kisumu, Kenya
| | - Moses Masika
- Faculty of Health Sciences 3RD Floor Wing B, KAVI Institute of Clinical Research, University of Nairobi, P.O. Box 19676-00202, Nairobi, Kenya
| | - Gaudensia Mutua
- Faculty of Health Sciences 3RD Floor Wing B, KAVI Institute of Clinical Research, University of Nairobi, P.O. Box 19676-00202, Nairobi, Kenya
| | - Omu Anzala
- Faculty of Health Sciences 3RD Floor Wing B, KAVI Institute of Clinical Research, University of Nairobi, P.O. Box 19676-00202, Nairobi, Kenya
| | - Susan M Graham
- Kenya Medical Research Institute-Wellcome Trust Research Programme, KEMRI-Center For Geographic Medicine Research, P.O. Box 230-80108, Kilifi, Kenya
- Department of Epidemiology, University of Washington, Office of the Chair, UW Box # 351619, Seattle, DC, USA
| | - Larry Gelmon
- Department of Medical Microbiology, University of Nairobi, P.O. Box 30197-00100, Nairobi, Kenya
- Department of Medical Microbiology and Infectious Diseases, University of Manitoba, Max Rady College of Medicine, Room 543-745 Bannatyne Avenue, University of Manitoba (Bannatyne campus), Winnipeg MB R3E 0J9, Canada
| | - Matt A Price
- IAVI Global Headquarters, 125 Broad Street, 9th Floor, New York, NY 10004, USA
- Department of Epidemiology and Biostatistics, University of California, Mission Hall: Global Health & Clinical Sciences Building, 550 16th Street, 2nd Floor, San Francisco, CA 94158-2549, USA
| | - Adrian D Smith
- Nuffield Department of Medicine, The University of Oxford, Old Road Campus, Headington, Oxford OX3 7BN, UK
| | - Robert C Bailey
- Nyanza Reproductive Health Society, United Mall, P.O. Box 1764, Kisumu, Kenya
- Division of Epidemiology and Biostatistics, University of Illinois at Chicago, 1603 W Taylor St, Chicago, IL 60612, USA
| | - Guy Baele
- KU Leuven Department of Microbiology, Immunology and Transplantation, Rega Institute, Laboratory of Clinical and Evolutionary and Computational Virology, Rega-Herestraat 49-box 1040, Leuven 3000, Belgium
| | - Philippe Lemey
- KU Leuven Department of Microbiology, Immunology and Transplantation, Rega Institute, Laboratory of Clinical and Evolutionary and Computational Virology, Rega-Herestraat 49-box 1040, Leuven 3000, Belgium
| | - Amin S Hassan
- Department of Translational Medicine, Lund University, Faculty of Medicine, Lund University, Box 117 SE-221 00 Lund, Sweden
- Kenya Medical Research Institute-Wellcome Trust Research Programme, KEMRI-Center For Geographic Medicine Research, P.O. Box 230-80108, Kilifi, Kenya
| | - Eduard J Sanders
- Kenya Medical Research Institute-Wellcome Trust Research Programme, KEMRI-Center For Geographic Medicine Research, P.O. Box 230-80108, Kilifi, Kenya
- Nuffield Department of Medicine, The University of Oxford, Old Road Campus, Headington, Oxford OX3 7BN, UK
| | - Joakim Esbjörnsson
- Department of Translational Medicine, Lund University, Faculty of Medicine, Lund University, Box 117 SE-221 00 Lund, Sweden
- Nuffield Department of Medicine, The University of Oxford, Old Road Campus, Headington, Oxford OX3 7BN, UK
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High Level of Pre-Treatment HIV-1 Drug Resistance and Its Association with HLA Class I-Mediated Restriction in the Pumwani Sex Worker Cohort. Viruses 2022; 14:v14020273. [PMID: 35215866 PMCID: PMC8879707 DOI: 10.3390/v14020273] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Revised: 01/17/2022] [Accepted: 01/18/2022] [Indexed: 01/08/2023] Open
Abstract
Background: We analyzed the prevalence of pre-antiretroviral therapy (ART) drug resistance mutations (DRMs) in a Kenyan population. We also examined whether host HLA class I genes influence the development of pre-ART DRMs. Methods: The HIV-1 proviral DNAs were amplified from blood samples of 266 ART-naïve women from the Pumwani Sex Worker cohort of Nairobi, Kenya using a nested PCR method. The amplified HIV genomes were sequenced using next-generation sequencing technology. The prevalence of pre-ART DRMs was investigated. Correlation studies were performed between HLA class I alleles and HIV-1 DRMs. Results: Ninety-eight percent of participants had at least one DRM, while 38% had at least one WHO surveillance DRM. M184I was the most prevalent clinically important variant, seen in 37% of participants. The DRMs conferring resistance to one or more integrase strand transfer inhibitors were also found in up to 10% of participants. Eighteen potentially relevant (p < 0.05) positive correlations were found between HLA class 1 alleles and HIV drug-resistant variants. Conclusions: High levels of HIV drug resistance were found in all classes of antiretroviral drugs included in the current first-line ART regimens in Africa. The development of DRMs may be influenced by host HLA class I-restricted immunity.
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Yuan D, Yu B, Li Y, Wang Z, Liu M, Ye L, Huang Y, Su L, Zhang Y, Api L, Chen M, Zhou C, Liu L, Zhang L, Liang S, Jia P, Yang S. Prevalence and Molecular Epidemiology of Transmitted Drug Resistance and Genetic Transmission Networks Among Newly Diagnosed People Living With HIV/AIDS in a Minority Area, China. Front Public Health 2021; 9:731280. [PMID: 34708015 PMCID: PMC8542729 DOI: 10.3389/fpubh.2021.731280] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2021] [Accepted: 09/02/2021] [Indexed: 11/13/2022] Open
Abstract
Introduction: Transmitted drug resistance (TDR) can compromise antiretroviral therapy (ART) efficacy. We aimed to understand the molecular epidemiology of TDR and its genetic transmission networks among newly diagnosed people living with HIV/AIDS (PLWH). Methods: A total of 1,318 newly diagnosed PLWH, identified in all population-based HIV screening in an HIV-affected county of a minority area of China (i.e., Butuo county), were enrolled between January 1, 2018, and November 31, 2018. HIV-1 pol gene sequences were used for phylogenetic and genotypic drug resistance analyses. The genetic transmission networks were identified. Results: The prevalence of TDR among newly diagnosed PLWH was 8.12% (107/1,318). Patients in the stage of AIDS (adjusted odds ratio, OR: 2.32) and who had a history of sharing a needle ≥5 times (adjusted OR: 3.89) were more likely to have an increased risk of TDR. The prevalence of TDR for non-nucleoside reverse transcriptase inhibitors (NNRTIs) is higher than that of other inhibitors, with a relatively high prevalence of three mutations [V179D/E/DE (4.93%), K103N/KN (3.11%), and E138A/G (1.52%)]. A total of 577 (43.78%) pol sequences were involved in the genetic transmission network, with 171 clusters ranging in size from 2 to 91 pol sequences; 37.38% (40/107) of individuals carrying TDR were involved in the network, and individuals with the same TDR-associated mutations were usually cross-linked. Conclusions: Our data suggest a relatively high level of TDR and many transmission clusters among the newly diagnosed PLWH. Targeted intervention, early identification, and monitoring of resistance are warranted to reduce the TDR and prevent HIV-1 transmission in areas with a high rate of HIV-1.
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Affiliation(s)
- Dan Yuan
- Center for AIDS/STD Control and Prevention, Sichuan Center for Disease Control and Prevention, Chengdu, China
| | - Bin Yu
- West China Second University Hospital of Sichuan University and Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, China
| | - Yiping Li
- Center for AIDS/STD Control and Prevention, Sichuan Center for Disease Control and Prevention, Chengdu, China
| | - Zixin Wang
- Centre for Health Behaviours Research, The Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, SAR China
| | - Meijing Liu
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Li Ye
- Center for AIDS/STD Control and Prevention, Sichuan Center for Disease Control and Prevention, Chengdu, China
| | - Yuling Huang
- Center for AIDS/STD Control and Prevention, Sichuan Center for Disease Control and Prevention, Chengdu, China
| | - Ling Su
- Center for AIDS/STD Control and Prevention, Sichuan Center for Disease Control and Prevention, Chengdu, China
| | - Yan Zhang
- Center for AIDS/STD Control and Prevention, Sichuan Center for Disease Control and Prevention, Chengdu, China
| | - Laze Api
- Butuo Center for Disease Control and Prevention, Liangshan, China
| | - Maogang Chen
- Liangshan Center for Disease Control and Prevention, Xichang, China
| | - Chang Zhou
- Center for AIDS/STD Control and Prevention, Sichuan Center for Disease Control and Prevention, Chengdu, China
| | - Li Liu
- Center for AIDS/STD Control and Prevention, Sichuan Center for Disease Control and Prevention, Chengdu, China
| | - Linglin Zhang
- Center for AIDS/STD Control and Prevention, Sichuan Center for Disease Control and Prevention, Chengdu, China
| | - Shu Liang
- Center for AIDS/STD Control and Prevention, Sichuan Center for Disease Control and Prevention, Chengdu, China
| | - Peng Jia
- School of Resources and Environmental Science, Wuhan University, Wuhan, China.,International Institute of Spatial Lifecourse Epidemiology (ISLE), Wuhan University, Wuhan, China
| | - Shujuan Yang
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.,International Institute of Spatial Lifecourse Epidemiology (ISLE), Wuhan University, Wuhan, China
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Sivay MV, Palumbo PJ, Zhang Y, Cummings V, Guo X, Hamilton EL, McKinstry L, Ogendo A, Kayange N, Panchia R, Dominguez K, Chen YQ, Sandfort TGM, Eshleman SH. Human Immunodeficiency Virus (HIV) Drug Resistance, Phylogenetic Analysis, and Superinfection Among Men Who Have Sex with Men and Transgender Women in Sub-Saharan Africa: HIV Prevention Trials Network (HPTN) 075 Study. Clin Infect Dis 2021; 73:60-67. [PMID: 32761071 DOI: 10.1093/cid/ciaa1136] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2020] [Accepted: 07/30/2020] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND The HIV Prevention Trials Network (HPTN) 075 study evaluated the feasibility of enrolling and retaining men who have sex with men (MSM) and transgender women (TGW) from Kenya, Malawi, and South Africa. During the study follow-up, 21 participants acquired human immunodeficiency virus (HIV) (seroconverters). We analyzed HIV subtype diversity, drug resistance, transmission dynamics, and HIV superinfection data among MSM and TGW enrolled in HPTN 075. METHODS HIV genotyping and drug resistance testing were performed for participants living with HIV who had viral loads >400 copies/mL at screening (prevalent cases, n = 124) and seroconverters (n = 21). HIV pol clusters were identified using Cluster Picker. Superinfection was assessed by a longitudinal analysis of env and pol sequences generated by next-generation sequencing. RESULTS HIV genotyping was successful for 123/124 prevalent cases and all 21 seroconverters. The major HIV subtypes were A1 (Kenya) and C (Malawi and South Africa). Major drug resistance mutations were detected in samples from 21 (14.6%) of 144 participants; the most frequent mutations were K103N and M184V/I. Phylogenetic analyses identified 11 clusters (2-6 individuals). Clusters included seroconverters only (n = 1), prevalent cases and seroconverters (n = 4), and prevalent cases only (n = 6). Superinfections were identified in 1 prevalent case and 2 seroconverters. The annual incidence of superinfection was higher among seroconverters than among prevalent cases, and was higher than the rate of primary HIV infection in the cohort. CONCLUSIONS This report provides important insights into HIV genetic diversity, drug resistance, and superinfection among MSM and TGW in sub-Saharan Africa. These findings may help to inform future HIV prevention interventions in these high-risk groups.
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Affiliation(s)
- Mariya V Sivay
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Philip J Palumbo
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Yinfeng Zhang
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Vanessa Cummings
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Xu Guo
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Erica L Hamilton
- Science Facilitation Department, Family Health International 360, Durham, North Carolina, USA
| | - Laura McKinstry
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Arthur Ogendo
- Kenya Medical Research Institute Centers for Disease Control and Prevention, Kisumu, Kenya
| | - Noel Kayange
- Department of Internal Medicine, Johns Hopkins Project, College of Medicine, Malawi, Blantyre, Malawi
| | - Ravindre Panchia
- Perinatal Human Immunodeficiency Virus Research Unit, University of the Witwatersrand, Soweto Human Immunodeficiency Virus Prevention Trials Network Clinical Research Site, Soweto, South Africa
| | - Karen Dominguez
- Desmond Tutu Human Immunodeficiency Virus Centre, University of Cape Town Medical School, Cape Town, South Africa
| | - Ying Q Chen
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Theodorus G M Sandfort
- Human Immunodeficiency Virus Center for Clinical and Behavioral Studies, Columbia University, New York, New York, USA
| | - Susan H Eshleman
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
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8
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Nduva GM, Nazziwa J, Hassan AS, Sanders EJ, Esbjörnsson J. The Role of Phylogenetics in Discerning HIV-1 Mixing among Vulnerable Populations and Geographic Regions in Sub-Saharan Africa: A Systematic Review. Viruses 2021; 13:1174. [PMID: 34205246 PMCID: PMC8235305 DOI: 10.3390/v13061174] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2021] [Revised: 06/09/2021] [Accepted: 06/10/2021] [Indexed: 12/19/2022] Open
Abstract
To reduce global HIV-1 incidence, there is a need to understand and disentangle HIV-1 transmission dynamics and to determine the geographic areas and populations that act as hubs or drivers of HIV-1 spread. In Sub-Saharan Africa (sSA), the region with the highest HIV-1 burden, information about such transmission dynamics is sparse. Phylogenetic inference is a powerful method for the study of HIV-1 transmission networks and source attribution. In this review, we assessed available phylogenetic data on mixing between HIV-1 hotspots (geographic areas and populations with high HIV-1 incidence and prevalence) and areas or populations with lower HIV-1 burden in sSA. We searched PubMed and identified and reviewed 64 studies on HIV-1 transmission dynamics within and between risk groups and geographic locations in sSA (published 1995-2021). We describe HIV-1 transmission from both a geographic and a risk group perspective in sSA. Finally, we discuss the challenges facing phylogenetic inference in mixed epidemics in sSA and offer our perspectives and potential solutions to the identified challenges.
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Affiliation(s)
- George M. Nduva
- Department of Translational Medicine, Lund University, 205 02 Malmö, Sweden; (G.M.N.); (J.N.); (A.S.H.)
- Kenya Medical Research Institute (KEMRI)-Wellcome Trust Research Programme, Kilifi 80108, Kenya;
| | - Jamirah Nazziwa
- Department of Translational Medicine, Lund University, 205 02 Malmö, Sweden; (G.M.N.); (J.N.); (A.S.H.)
| | - Amin S. Hassan
- Department of Translational Medicine, Lund University, 205 02 Malmö, Sweden; (G.M.N.); (J.N.); (A.S.H.)
- Kenya Medical Research Institute (KEMRI)-Wellcome Trust Research Programme, Kilifi 80108, Kenya;
| | - Eduard J. Sanders
- Kenya Medical Research Institute (KEMRI)-Wellcome Trust Research Programme, Kilifi 80108, Kenya;
- Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, The University of Oxford, Oxford OX1 2JD, UK
| | - Joakim Esbjörnsson
- Department of Translational Medicine, Lund University, 205 02 Malmö, Sweden; (G.M.N.); (J.N.); (A.S.H.)
- Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, The University of Oxford, Oxford OX1 2JD, UK
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9
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Palumbo PJ, Zhang Y, Clarke W, Breaud A, Sivay M, Cummings V, Hamilton EL, Guo X, Ogendo A, Kayange N, Panchia R, Dominguez K, Chen YQ, Sandfort TGM, Eshleman SH. Uptake of antiretroviral treatment and viral suppression among men who have sex with men and transgender women in sub-Saharan Africa in an observational cohort study: HPTN 075. Int J Infect Dis 2021; 104:465-470. [PMID: 33440260 PMCID: PMC8091139 DOI: 10.1016/j.ijid.2020.12.085] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2020] [Accepted: 12/29/2020] [Indexed: 11/22/2022] Open
Abstract
Objectives: HPTN 075 enrolled men who have sex with men (MSM) and transgender women (TGW) in sub-Saharan Africa. Persons in HIV care or on antiretroviral treatment (ART) were not eligible to enroll. We evaluated antiretroviral (ARV) drug use, viral suppression, and drug resistance in this cohort over a 12-month follow-up period. Methods: Assessments included 64 participants with HIV (39 MSM, 24 TGW, and one gender not specified). ARV drugs were detected using a qualitative assay. Viral load (VL) and drug resistance testing were performed using commercial assays. Results: Over 12 months, the proportion of participants using ARV drugs increased from 28.1% to 59.4% and the proportion with VLs <400 copies/mL increased from 21.9% to 57.8%. The rate of ART failure (detection of drugs without viral suppression) was similar at screening and 12 months (12.0% and 11.1%, respectively) and was similar among MSM and TGW. Two participants developed HIV drug resistance during follow-up. Conclusions: Over 12 months, ARV drug use in the cohort more than doubled and viral suppression increased nearly threefold without a significant increase in ART failure or drug resistance. These results suggest that ART can be successfully scaled up for HIV prevention and treatment in this high-risk population.
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Affiliation(s)
- Philip J Palumbo
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
| | - Yinfeng Zhang
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
| | - William Clarke
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
| | - Autumn Breaud
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
| | - Mariya Sivay
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
| | - Vanessa Cummings
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
| | - Erica L Hamilton
- Science Facilitation Department, FHI 360, Durham, North Carolina, USA.
| | - Xu Guo
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA.
| | - Arthur Ogendo
- HIV Research Division, Kenya Medical Research Institute (KEMRI) CDC, Kisumu, Kenya.
| | - Noel Kayange
- Department of Internal Medicine, Johns Hopkins Project, College of Medicine, Malawi, Blantyre, Malawi.
| | - Ravindre Panchia
- Perinatal HIV Research Unit, University of the Witwatersrand, Soweto HPTN CRS, Soweto, South Africa.
| | - Karen Dominguez
- Desmond Tutu HIV Centre, UCT Medical School, Cape Town, South Africa.
| | - Ying Q Chen
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA.
| | - Theodorus G M Sandfort
- HIV Center for Clinical and Behavioral Studies, Department of Psychiatry, Columbia University, New York, New York, USA.
| | - Susan H Eshleman
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
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10
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Yuan D, Liu M, Li Y, Jia P, Su L, Ye L, Zhang Y, Ling P, Zhou C, Liang S, Yang H, Liu H, Yang S. Genetic transmission networks of HIV-1 CRF07_BC strain among HIV-1 infections with virologic failure of ART in a minority area of China: a population-based study. BMC Infect Dis 2020; 20:631. [PMID: 32842977 PMCID: PMC7448482 DOI: 10.1186/s12879-020-05347-2] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2020] [Accepted: 08/13/2020] [Indexed: 12/16/2022] Open
Abstract
Background The drug resistance and the virologic failure of antiretroviral therapy (ART) are quite severe in Liangshan. A better understanding of the virologic failure of ART and the HIV-1 transmission network dynamics is essential for the surveillance and prevention of HIV. Here, we analyzed the HIV-1 CRF07_BC strain genetic transmission networks and their associated factors among people living with HIV-1 (PLWH) who had virologic failure of ART by using close genetic links. Methods The drug-resistant mutations were determined using the Stanford University HIV Drug Resistance Database. HIV-1 pol genes sequences were used for phylogenetic and genotypic drug resistance analysis. The genetic transmission networks were performed by comparing sequences, constructing the phylogenetic tree, calculating the pairwise distance, and visualizing the network. Results A total of 1050 PLWH with CRF07_BC pol sequences were finally identified and included in the genetic transmission network analysis from 2016 to 2017. Of the 1050 CRF07_BC pol sequences, 346 (32.95%) fell into clusters at a genetic distance of 0.006, resulting in 137 clusters ranging in size from 2 to 40 individuals. Subjects who were widowed or divorced were less likely to form a genetic transmission network (adjusted OR: 0.50), while subjects who had shared a needle ≥ five times were more likely to form a network (adjusted OR: 1.88). Conclusions The genetic transmission networks revealed the complex transmission pattern, highlighting the urgent need for transmission monitoring of virologic failure of ART and selection of more effective therapeutic regimens to promote viral suppression.
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Affiliation(s)
- Dan Yuan
- Center for AIDS/STD Control and Prevention, Sichuan Center for Disease Control and Prevention, Chengdu, China.,International Institute of Spatial Lifecourse Epidemiology (ISLE), Hong Kong, China
| | - Meijing Liu
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Number16, Section 3, South Renmin Road, Chengdu, 610041, Sichuan, China
| | - Yiping Li
- Center for AIDS/STD Control and Prevention, Sichuan Center for Disease Control and Prevention, Chengdu, China
| | - Peng Jia
- International Institute of Spatial Lifecourse Epidemiology (ISLE), Hong Kong, China.,Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hong Kong, China
| | - Ling Su
- Center for AIDS/STD Control and Prevention, Sichuan Center for Disease Control and Prevention, Chengdu, China
| | - Li Ye
- Center for AIDS/STD Control and Prevention, Sichuan Center for Disease Control and Prevention, Chengdu, China
| | - Yan Zhang
- Center for AIDS/STD Control and Prevention, Sichuan Center for Disease Control and Prevention, Chengdu, China
| | - Pan Ling
- Center for AIDS/STD Control and Prevention, Sichuan Center for Disease Control and Prevention, Chengdu, China
| | - Chang Zhou
- Center for AIDS/STD Control and Prevention, Sichuan Center for Disease Control and Prevention, Chengdu, China
| | - Shu Liang
- Center for AIDS/STD Control and Prevention, Sichuan Center for Disease Control and Prevention, Chengdu, China
| | - Hong Yang
- Center for AIDS/STD Control and Prevention, Sichuan Center for Disease Control and Prevention, Chengdu, China
| | - Honglu Liu
- Center for AIDS/STD Control and Prevention, Sichuan Center for Disease Control and Prevention, Chengdu, China.
| | - Shujuan Yang
- International Institute of Spatial Lifecourse Epidemiology (ISLE), Hong Kong, China. .,West China School of Public Health and West China Fourth Hospital, Sichuan University, Number16, Section 3, South Renmin Road, Chengdu, 610041, Sichuan, China.
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11
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Edoul G, Chia JE, Vidal N, Guichet E, Montavon C, Delaporte E, Mpoudi Ngole E, Ayouba A, Peeters M. High HIV burden and recent transmission chains in rural forest areas in southern Cameroon, where ancestors of HIV-1 have been identified in ape populations. INFECTION GENETICS AND EVOLUTION 2020; 84:104358. [PMID: 32439500 DOI: 10.1016/j.meegid.2020.104358] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/30/2020] [Revised: 05/06/2020] [Accepted: 05/08/2020] [Indexed: 11/18/2022]
Abstract
We studied HIV prevalence and genetic diversity in rural forest areas in Cameroon, where chimpanzee and gorilla populations infected with the ancestors of the different HIV-1 groups have been identified and transmitted to humans during the 20th century. A total of 2812 individuals were studied, 924 from south-central, 1116 from south-east and 772 from south-west Cameroon. Of 208 (7.4%) samples that were confirmed for HIV-1 infection all belong to HIV-1 group M. In all sites and in all age categories, HIV-1 prevalence was higher in women (160/1599 (10.0%)) as compared to men (48/1213 (4.0%)) with the highest prevalence in women aged between 25 and 34 years (>17%). For 188/208 (92.3%) HIV-1 positive individuals, a fragment of the pol gene was successfully amplified and sequenced. Phylogenetic analysis showed predominance of CRF02_AG (58%), a large diversity of subtypes (A, D, F2 and G), nine different CRFs and more than 12% URFs. Interestingly, 35/188 (18.6%) HIV-1 strains form 12 recent transmission chains. The majority of the clusters are composed of two (n = 8) or three (n = 3) sequences but one cluster included ten HIV-1 strains from women living in four different villages on a major road for logging concessions in the south-east (60 km distance). In the three regions of Cameroon where the ancestors of the four HIV-1 groups have been transmitted to humans, we observed a high HIV prevalence, especially in the southeast where HIV-1 M originated. Many factors allowing rapid establishment in the human population and subsequent rapid spread to urban areas of a new retrovirus or other pathogens of zoonotic origin are now present. Our study shows clearly that some rural areas should also be considered as hot-spots for HIV infection. Prevention efforts together with growing access to HIV diagnosis and antiretroviral treatment are urgently needed in these remote areas.
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Affiliation(s)
- Ginette Edoul
- Centre de Recherche sur les Maladies Emergentes et Reemergentes (CREMER), Virology Laboratory IMPM-IRD, IMPM, Yaoundé, Cameroon
| | - Julius Ebua Chia
- Centre de Recherche sur les Maladies Emergentes et Reemergentes (CREMER), Virology Laboratory IMPM-IRD, IMPM, Yaoundé, Cameroon
| | - Nicole Vidal
- TransVIHMI, Institut de Recherche pour le Développement (IRD), INSERM, Université de Montpellier, Montpellier, France
| | - Emilande Guichet
- Centre de Recherche sur les Maladies Emergentes et Reemergentes (CREMER), Virology Laboratory IMPM-IRD, IMPM, Yaoundé, Cameroon
| | - Celine Montavon
- TransVIHMI, Institut de Recherche pour le Développement (IRD), INSERM, Université de Montpellier, Montpellier, France
| | - Eric Delaporte
- TransVIHMI, Institut de Recherche pour le Développement (IRD), INSERM, Université de Montpellier, Montpellier, France
| | - Eitel Mpoudi Ngole
- Centre de Recherche sur les Maladies Emergentes et Reemergentes (CREMER), Virology Laboratory IMPM-IRD, IMPM, Yaoundé, Cameroon
| | - Ahidjo Ayouba
- TransVIHMI, Institut de Recherche pour le Développement (IRD), INSERM, Université de Montpellier, Montpellier, France
| | - Martine Peeters
- TransVIHMI, Institut de Recherche pour le Développement (IRD), INSERM, Université de Montpellier, Montpellier, France.
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12
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Nduva GM, Hassan AS, Nazziwa J, Graham SM, Esbjörnsson J, Sanders EJ. HIV-1 Transmission Patterns Within and Between Risk Groups in Coastal Kenya. Sci Rep 2020; 10:6775. [PMID: 32317722 PMCID: PMC7174422 DOI: 10.1038/s41598-020-63731-z] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2019] [Accepted: 03/30/2020] [Indexed: 11/09/2022] Open
Abstract
HIV-1 transmission patterns within and between populations at different risk of HIV-1 acquisition in Kenya are not well understood. We investigated HIV-1 transmission networks in men who have sex with men (MSM), injecting drug users (IDU), female sex workers (FSW) and heterosexuals (HET) in coastal Kenya. We used maximum-likelihood and Bayesian phylogenetics to analyse new (N = 163) and previously published (N = 495) HIV-1 polymerase sequences collected during 2005-2019. Of the 658 sequences, 131 (20%) were from MSM, 58 (9%) IDU, 109 (17%) FSW, and 360 (55%) HET. Overall, 206 (31%) sequences formed 61 clusters. Most clusters (85%) consisted of sequences from the same risk group, suggesting frequent within-group transmission. The remaining clusters were mixed between HET/MSM (7%), HET/FSW (5%), and MSM/FSW (3%) sequences. One large IDU-exclusive cluster was found, indicating an independent sub-epidemic among this group. Phylodynamic analysis of this cluster revealed a steady increase in HIV-1 infections among IDU since the estimated origin of the cluster in 1987. Our results suggest mixing between high-risk groups and heterosexual populations and could be relevant for the development of targeted HIV-1 prevention programmes in coastal Kenya.
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Affiliation(s)
- George M Nduva
- Lund University, Lund, Sweden
- KEMRI/Wellcome Trust Research Programme, Kilifi, Kenya
| | - Amin S Hassan
- Lund University, Lund, Sweden
- KEMRI/Wellcome Trust Research Programme, Kilifi, Kenya
| | | | - Susan M Graham
- KEMRI/Wellcome Trust Research Programme, Kilifi, Kenya
- University of Washington, Seattle, WA, USA
| | - Joakim Esbjörnsson
- Lund University, Lund, Sweden.
- The University of Oxford, Oxford, United Kingdom.
| | - Eduard J Sanders
- KEMRI/Wellcome Trust Research Programme, Kilifi, Kenya
- The University of Oxford, Oxford, United Kingdom
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