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基于网络的干预(传播减少干预项目)中人类免疫缺陷病毒 1 型(HIV-1)感染者的分子分析:系统发生学鉴定具有社会联系的 HIV-1 感染者。

Molecular Analysis of Human Immunodeficiency Virus Type 1 (HIV-1)-Infected Individuals in a Network-Based Intervention (Transmission Reduction Intervention Project): Phylogenetics Identify HIV-1-Infected Individuals With Social Links.

机构信息

Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Greece.

Medical School, University of Cyprus, Nicosia.

出版信息

J Infect Dis. 2018 Jul 24;218(5):707-715. doi: 10.1093/infdis/jiy239.

DOI:10.1093/infdis/jiy239
PMID:29697829
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6057507/
Abstract

BACKGROUND

The Transmission Reduction Intervention Project (TRIP) is a network-based intervention that aims at decreasing human immunodeficiency virus type 1 (HIV-1) spread. We herein explore associations between transmission links as estimated by phylogenetic analyses, and social network-based ties among persons who inject drugs (PWID) recruited in TRIP.

METHODS

Phylogenetic trees were inferred from HIV-1 sequences of TRIP participants. Highly supported phylogenetic clusters (transmission clusters) were those fulfilling 3 different phylogenetic confidence criteria. Social network-based ties (injecting or sexual partners, same venue engagement) were determined based on personal interviews, recruitment links, and field observation.

RESULTS

TRIP recruited 356 individuals (90.2% PWID) including HIV-negative controls; recently HIV-infected seeds; long-term HIV-infected seeds; and their social network members. Of the 150 HIV-infected participants, 118 (78.7%) were phylogenetically analyzed. Phylogenetic analyses suggested the existence of 13 transmission clusters with 32 sequences. Seven of these clusters included 14 individuals (14/32 [43.8%]) who also had social ties with at least 1 member of their cluster. This proportion was significantly higher than what was expected by chance.

CONCLUSIONS

Molecular methods can identify HIV-infected people socially linked with another person in about half of the phylogenetic clusters. This could help public health efforts to locate individuals in networks with high transmission rates.

摘要

背景

传播减少干预项目(TRIP)是一个基于网络的干预项目,旨在减少人类免疫缺陷病毒 1 型(HIV-1)的传播。本文旨在探讨通过系统发育分析估计的传播联系与通过注射吸毒者(PWID)社会网络联系之间的关系,这些人是 TRIP 招募的。

方法

从 TRIP 参与者的 HIV-1 序列中推断出系统发育树。高度支持的系统发育簇(传播簇)是满足 3 种不同系统发育置信标准的簇。基于个人访谈、招募联系和现场观察确定基于社会网络的联系(注射或性伴侣、相同场所参与)。

结果

TRIP 招募了 356 名个体(90.2%为 PWID),包括 HIV 阴性对照、近期 HIV 感染种子、长期 HIV 感染种子及其社会网络成员。在 150 名 HIV 感染参与者中,对 118 名(78.7%)进行了系统发育分析。系统发育分析表明,存在 13 个传播簇,有 32 个序列。这 7 个簇包括 14 名个体(14/32 [43.8%]),他们也与簇中的至少 1 名成员有社会联系。这一比例明显高于随机预期。

结论

分子方法可以识别与另一个人在大约一半的系统发育簇中具有社会联系的 HIV 感染个体。这有助于公共卫生努力定位具有高传播率的网络中的个体。

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