HIV-1 subtype diversity and phylogenetic insight into non-B subtype transmission in Slovenia, 1989-2013

Jana Mlakar, Maja M. Lunar, Ana B. Abecasis, Anne-Mieke Vandamme, Janez Tomažič, Tomaž D. Vovko, Blaž Pečavar, Gabriele Turel, Mario Poljak
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Abstract

Disease progression, drug resistance mutations, and treatment strategies may vary by HIV-1 subtype. This study determined HIV-1 subtypes circulating in Slovenia, a Central European country with an HIV-1 epidemic driven by men who have sex with men, focusing on molecular epidemiology of non-B subtypes.A total of 367 HIV-1 sequences were included. Subtype was assigned by employing eight different HIV subtyping tools coupled with maximum likelihood phylogenetic analyses.The subtyping tools COMET, jpHMM, and REGA 3.0 exhibited the best performance on the dataset studied. Phylogenetic analyses showed a 14.7% prevalence of non-B subtypes, with subtype A detected most frequently (4.9%), followed by CRF02_AG (2.4%), subtype C (1.1%), subtypes D, G, and CRF01_AE (0.8% each), and subtypes F and CRF22_01A1 (0.3% each). A subtype could not be assigned to 12 sequences (3.3%), indicating potential unique recombinant forms. Non-B subtypes were significantly associated with a heterosexual route of transmission and infection acquired in Eastern Europe, Africa, or Asia.In a country where subtype B is predominant, non-B subtypes were observed in one out of seven patients, a non-negligible proportion, which underlines the importance of systematic surveillance of HIV subtype diversity and the corresponding molecular epidemiology.
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1989-2013年斯洛文尼亚HIV-1亚型多样性和非b亚型传播的系统发育观察
疾病进展、耐药突变和治疗策略可能因HIV-1亚型而异。本研究确定了在中欧国家斯洛文尼亚流行的HIV-1亚型,该国家HIV-1流行由男男性行为者驱动,重点关注非b亚型的分子流行病学。共包含367个HIV-1序列。通过采用8种不同的HIV亚型分型工具以及最大似然系统发育分析来确定亚型。在所研究的数据集上,亚型工具COMET、jpHMM和REGA 3.0表现出最好的性能。系统发育分析显示,非b亚型的患病率为14.7%,其中a亚型最多(4.9%),其次是CRF02_AG (2.4%), C亚型(1.1%),D、G和CRF01_AE亚型(各0.8%),F和CRF22_01A1亚型(各0.3%)。有12个序列(3.3%)不能找到一个亚型,表明可能存在独特的重组形式。在东欧、非洲或亚洲,非b亚型与异性恋传播途径和感染显著相关。在一个以B亚型为主的国家,非B亚型在七分之一的患者中观察到,这是一个不可忽视的比例,这强调了系统监测艾滋病毒亚型多样性和相应的分子流行病学的重要性。
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CiteScore
1.70
自引率
8.30%
发文量
38
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