Detection of Transmission Clusters of HIV-1 Subtype C over a 21-Year Period in Cape Town, South Africa

被引:9
|
作者
Wilkinson, Eduan [1 ,2 ]
Engelbrecht, Susan [1 ,3 ]
de Oliveira, Tulio [2 ,4 ,5 ]
机构
[1] Univ Stellenbosch, Fac Med & Hlth Sci, Dept Pathol, Div Med Virol, Cape Town, Western Cape Pr, South Africa
[2] Univ KwaZulu Natal, Africa Ctr Hlth & Populat Studies, Somkhele, KwaZulu Natal, South Africa
[3] Tygerberg Hosp, Natl Hlth Lab Serv, Cape Town, Western Cape Pr, South Africa
[4] Univ KwaZulu Natal, Sch Lab Med & Med Sci, Durban, KwaZulu Natal, South Africa
[5] UCL, Res Dept Infect, London, England
来源
PLOS ONE | 2014年 / 9卷 / 10期
基金
英国惠康基金; 新加坡国家研究基金会;
关键词
HUMAN-IMMUNODEFICIENCY-VIRUS; ANTIRETROVIRAL THERAPY; RECONSTRUCTION; SEQUENCES; EPIDEMIOLOGY; EMERGENCE; INFECTION; INFERENCE; DYNAMICS; ACCURATE;
D O I
10.1371/journal.pone.0109296
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Introduction: Despite recent breakthroughs in the fight against the HIV/AIDS epidemic within South Africa, the transmission of the virus continues at alarmingly high rates. It is possible, with the use of phylogenetic methods, to uncover transmission events of HIV amongst local communities in order to identify factors that may contribute to the sustained transmission of the virus. The aim of this study was to uncover transmission events of HIV amongst the infected population of Cape Town. Methods and Results: We analysed gag p24 and RT-pol sequences which were generated from samples spanning over 21-years with advanced phylogenetic techniques. We identified two transmission clusters over a 21-year period amongst randomly sampled patients from Cape Town and the surrounding areas. We also estimated the origin of each of the identified transmission clusters with the oldest cluster dating back, on average, 30 years and the youngest dating back roughly 20 years. Discussion and Conclusion: These transmission clusters represent the first identified transmission events among the heterosexual population in Cape Town. By increasing the number of randomly sampled specimens within a dataset over time, it is possible to start to uncover transmission events of HIV amongst local communities in generalized epidemics. This information can be used to produce targeted interventions to decrease transmission of HIV in Africa.
引用
收藏
页数:11
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