iMAN: Integrated Molecular & Affiliation Network Analysis of HIV Transmission

iMAN：集成分子

基本信息

批准号：
9103204
负责人：
Kayo Fujimoto
金额：
$ 19.03万
依托单位：
UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON
依托单位国家：
美国
项目类别：
财政年份：
2015
资助国家：
美国
起止时间：
2015-07-01 至 2018-06-30
项目状态：
已结题

项目摘要

DESCRIPTION (provided by applicant): We propose a study, "iMAN: integrated Molecular & Affiliation Network Analysis of HIV Transmission," which integrates molecular phylogenetic analysis with systems science methodologies to advance our understanding of the venue-based affiliation networks whereby the human immunodeficiency virus (HIV) is transmitted. iMAN will examine the highest HIV-risk group, young Black men who have sex with men (YBMSM) aged 16 to 29 in Houston, TX, and Chicago, IL, based on the cohorts of an ongoing multi-site longitudinal affiliation network project (YMAP: Young Men's Affiliation Project). iMAN aims to further advance the utility of affiliation network analysis by introducing a novel way of addressin fundamental questions about human health behavior, grounded in biological validation, to alleviate racial/ethnic health disparities in HIV-infection rates in regard to YBMSM. YBMSM socialize in a variety of contexts, both real and virtual, and these venues can involve network relationships that increase the risk of HIV/sexually-transmitted infections (STI) acquisition. Affiliation network analysis can serve as a methodological tool to investigate associations between individuals' affiliations with risky social venues and HIV risk or prevention. Affiliation network analysis alone, however, has limitations in providing grounded results. Thus, we propose to validate our findings using biological markers in the HIV virus itself. iMAN will apply phylogenetic techniques to the affiliation network analysis to simultaneously analyze social relations (epidemiology information) and molecular viral relatedness (molecular information) in a multi-level approach. iMAN proposes to use phylogenetic analysis to help characterize the clustering patterns of HIV infection within YBMSM from different patterns of venue affiliation. The objective of iMAN is to characterize the epidemiology of HIV transmission by identifying venue-based clustering of HIV-infected YBMSM across different cities using state-of-the-art molecular epidemiology methods. The resulting venue- based and genetic transmission clusters will be further examined to describe the transmission patterns of the epidemic in Houston and Chicago as well as to compare and contrast the patterns between the two cities. Our specific aims are to (1) identify HIV-transmission clusters and describe the patterns of epidemic spread by identifying (a) genetic clusters between HIV-infected YBMSM using phylogenetic analysis, and (b) venue- based social clusters using affiliation network analysis; (2) compare genetic clusters and venue-based social clusters to determine venue-based HIV risk at the local level. The findings from this research are expected to provide new directions for developing venue-based network interventions informed by molecular science and to have an impact on network interventions that target those most at risk of HIV/STI infection.

描述（由适用提供）：我们提出了一项研究，“ IMAN：艾滋病毒传播的综合分子与分支网络分析”，该研究将分子系统发育分析与系统科学方法整合在一起，以促进我们对基于场地的会员网络的理解，从而传输人类免疫缺陷病毒（HIV）。伊曼（Iman）将根据正在进行的多站点纵向关联网络项目（YMAP：YMAP：年轻男子的隶属关系项目）的同伙，研究在德克萨斯州休斯敦和伊利诺伊州休斯敦和伊利诺伊州芝加哥的年轻人（YBMSM）与男性发生性关系的年轻黑人（YBMSM）。伊曼（Iman）旨在通过引入一种基于生物学验证的人类健康行为的基本问题的新方法来进一步提高联盟网络分析的实用性，以减轻YBMSM的HIV感染率中的种族/种族健康差异。 YBMSM在真实和虚拟的各种情况下进行社交，这些场所可能涉及网络关系，以增加艾滋病毒/性传播感染（STI）的风险（STI）。分支网络分析可以用作一种方法论工具，以调查个人的分支机构与有风险的社会场所与艾滋病毒风险或预防的关联。但是，仅在提供扎根结果时，仅隶属网络分析就有局限性。这是我们建议使用HIV病毒本身中的生物标记来验证我们的发现。 IMAN将在分析社会关系（流行病学信息）和分子病毒相关性（分子信息）中，将系统发育技术应用于会员网络分析中。伊曼（Iman）提出使用系统发育分析来帮助表征来自不同场所分支机构模式的YBMSM内HIV感染的聚类模式。 IMAN的目的是通过使用最先进的分子流行病学方法来识别跨不同城市的HIV感染YBMSM的基于场所的HIV感染YBMSM的聚类来表征HIV传播的流行病学。将进一步检查由此产生的基于场地的遗传传播集群，以描述休斯敦和芝加哥流行病的传播模式，并比较和对比两个城市之间的模式。我们的具体目的是（1）通过使用系统发育分析来识别（a）遗传群体之间的（a）遗传簇来识别（a）遗传簇，并使用系统发育分析来识别（a）遗传簇，以及（b）使用联盟网络分析（B）基于场地的社交团体；（2）比较遗传簇和基于场地的社会集群，以确定地方一级基于场地的艾滋病毒风险。预计这项研究的发现将为开发由分子科学所告知的基于场地的网络干预措施提供新的方向，并对针对艾滋病毒/STI感染风险的人产生影响。