Phylogeographic Assessment Reveals Geographic Sources of HIV-1 Dissemination Among Men Who Have Sex With Men in Kenya

被引:2
作者
Nduva, George M. [1 ,2 ]
Otieno, Frederick [3 ]
Kimani, Joshua [4 ,5 ]
McKinnon, Lyle R. [4 ,5 ,6 ]
Cholette, Francois [5 ,7 ]
Sandstrom, Paul [7 ]
Graham, Susan M. [2 ,8 ]
Price, Matt A. [9 ,10 ]
Smith, Adrian D. [11 ]
Bailey, Robert C. [3 ,12 ]
Hassan, Amin S. [1 ,2 ]
Esbjornsson, Joakim [1 ,11 ]
Sanders, Eduard J. [2 ,11 ]
机构
[1] Lund Univ, Dept Translat Med, Lund, Sweden
[2] Kenya Govt Med Res Ctr, Wellcome Trust Res Programme, Kilifi, Kenya
[3] Nyanza Reprod Hlth Soc, Kisumu, Kenya
[4] Univ Nairobi, Dept Med Microbiol, Nairobi, Kenya
[5] Univ Manitoba, Dept Med Microbiol & Infect Dis, Winnipeg, MB, Canada
[6] Ctr AIDS Programme Res South Africa CAPRISA, Durban, South Africa
[7] Publ Hlth Agcy Canada, JC Wilt Infect Dis Res Ctr, Natl Microbiol Lab, Winnipeg, MB, Canada
[8] Univ Washington, Dept Epidemiol, Seattle, WA 98195 USA
[9] IAVI, San Francisco, CA USA
[10] Univ Calif San Francisco, Dept Epidemiol & Biostat, San Francisco, CA USA
[11] Univ Oxford, Nuffield Dept Med, Oxford, England
[12] Univ Illinois, Div Epidemiol & Biostat, Chicago, IL USA
基金
英国惠康基金; 瑞典研究理事会;
关键词
HIV-1; molecular epidemiology; phylogeographic; MSM; Kenya; MOLECULAR EPIDEMIOLOGY; POPULATION-DYNAMICS; TRANSMISSION; INFECTION; RISK; CARE; MSM; PREVENTION; TYPE-1; INTERVENTION;
D O I
10.3389/fmicb.2022.843330
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
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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页数:11
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