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探索塞尔维亚艾滋病毒疫情的进化与传播动态:用系统发育方法连接社会人口统计学因素

Exploring Evolutionary and Transmission Dynamics of HIV Epidemic in Serbia: Bridging Socio-Demographic With Phylogenetic Approach.

作者信息

Jovanović Luka, Šiljić Marina, Ćirković Valentina, Salemović Dubravka, Pešić-Pavlović Ivana, Todorović Marija, Ranin Jovan, Jevtović Djordje, Stanojević Maja

机构信息

Institute of Microbiology and Immunology, Faculty of Medicine, University of Belgrade, Belgrade, Serbia.

Infectious and Tropical Diseases University Hospital, Clinical Centre of Serbia, Belgrade, Serbia.

出版信息

Front Microbiol. 2019 Feb 25;10:287. doi: 10.3389/fmicb.2019.00287. eCollection 2019.

Abstract

Previous molecular studies of Serbian HIV epidemic identified the dominance of subtype B and presence of clusters related HIV-1 transmission, in particular among men who have sex with men (MSM). In order to get a deeper understanding of the complexities of HIV sub-epidemics in Serbia, epidemic trends, temporal origin and phylodynamic characteristics in general population and subpopulations were analyzed by means of mathematical modeling, phylogenetic analysis and latent class analysis (LCA). Fitting of the logistic curve of trends for a cumulative annual number of new HIV cases in 1984-2016, in general population and MSM transmission group, was performed. Both datasets fitted the logistic growth model, showing the early exponential phase of the growth curve. According to the suggested model, in the year 2030, the number of newly diagnosed HIV cases in Serbia will continue to grow, in particular in the MSM transmission group. Further, a detailed phylogenetic analysis was performed on 385 sequences from the period 1997-2015. Identification of transmission clusters, estimation of population growth (Ne), of the effective reproductive number (Re) and time of the most recent common ancestor (tMRCA) were estimated employing Bayesian and maximum likelihood methods. A substantial proportion of 53% of subtype B sequences was found within transmission clusters/network. Phylodynamic analysis revealed Re over one during the whole period investigated, with the steepest slopes and a recent tMRCA for MSM transmission group subtype B clades, in line with a growing trend in the number of transmissions in years approaching the end of the study period. Contrary, heterosexual clades in both studied subtypes - B and C - showed modest growth and stagnation. LCA analysis identified five latent classes, with transmission clusters dominantly present in 2/5 classes, linked to MSM transmission living in the capital city and with the high prevalence of co-infection with HBV and/or other STIs.Presented findings imply that HIV epidemic in Serbia is still in the exponential growth phase, in particular, related to the MSM transmission, with estimated steep growth curve until 2030. The obtained results imply that an average new HIV patient in Serbia is a young man with concomitant sexually transmitted infection.

摘要

先前对塞尔维亚艾滋病流行情况的分子研究表明,B亚型占主导地位,且存在与HIV-1传播相关的聚集性病例,尤其是在男男性行为者(MSM)中。为了更深入地了解塞尔维亚艾滋病亚流行情况的复杂性,通过数学建模、系统发育分析和潜在类别分析(LCA)对一般人群和亚人群中的流行趋势、时间起源和系统动力学特征进行了分析。对1984 - 2016年一般人群和MSM传播组中新发艾滋病病例累积年数的趋势进行了逻辑曲线拟合。两个数据集均符合逻辑增长模型,显示出增长曲线的早期指数阶段。根据所建议的模型,到2030年,塞尔维亚新诊断艾滋病病例数将继续增长,尤其是在MSM传播组中。此外,对1997 - 2015年期间的385个序列进行了详细的系统发育分析。采用贝叶斯和最大似然法估计了传播簇、种群增长(Ne)、有效繁殖数(Re)和最近共同祖先时间(tMRCA)。发现53%的B亚型序列存在于传播簇/网络中。系统动力学分析显示,在整个研究期间Re均大于1,MSM传播组B亚型分支的斜率最陡且tMRCA最近,这与研究期末几年传播数量的增长趋势一致。相反,研究的B和C两种亚型中的异性传播分支显示出适度增长和停滞。LCA分析确定了五个潜在类别,2/5类别中主要存在传播簇,与居住在首都的MSM传播以及HBV和/或其他性传播感染的高共感染率有关。研究结果表明,塞尔维亚的艾滋病流行仍处于指数增长阶段,特别是与MSM传播相关,预计到2030年增长曲线将很陡。所得结果表明,塞尔维亚新确诊的艾滋病患者平均为年轻男性,伴有性传播感染。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa29/6397891/12d5de0b3786/fmicb-10-00287-g001.jpg

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