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（由申请人提供）：我们提出了一项研究“iMAN：艾滋病毒传播的综合分子和隶属网络分析”，该研究将分子系统发育分析与系统科学方法相结合，以增进我们对基于场所的隶属网络的理解，从而促进人类免疫缺陷iMAN 将检查艾滋病毒风险最高的群体，即德克萨斯州休斯顿和芝加哥 16 至 29 岁的年轻黑人男男性行为者 (YBMSM)。 IL 基于正在进行的多站点纵向隶属网络项目（YMAP：青年男性隶属关系项目）的队列，旨在通过引入一种解决有关人类健康行为的基本问题的新方法来进一步提高隶属网络分析的实用性，以生物学验证为基础，以减轻 YBMSM 方面艾滋病毒感染率的种族/民族健康差异。YBMSM 在各种真实和虚拟的环境中进行社交，这些场所可能涉及增加感染风险的网络关系。 HIV/性传播感染 (STI) 获取可以作为一种方法工具来调查个人与危险社交场所的关系与 HIV 风险或预防之间的关联，但是，仅靠关系网络分析在提供有依据的结果方面存在局限性。因此，我们建议使用 HIV 病毒本身的生物标记来验证我们的发现，iMAN 将系统发育技术应用于隶属网络分析，以同时分析社会关系（流行病学信息）和分子病毒相关性（分子信息）。 iMAN 提出使用系统发育分析来帮助描述 YBMSM 内不同场所隶属模式的 HIV 感染聚类模式。 iMAN 的目标是通过识别基于场所的 HIV 聚类来描述 HIV 传播的流行病学特征。使用最先进的分子流行病学方法在不同城市感染 YBMSM，将进一步检查由此产生的基于场所和基因的传播集群，以描述休斯顿和芝加哥的流行病传播模式并进行比较。并对比两个城市之间的模式，我们的具体目标是 (1) 通过使用系统发育分析确定 (a) HIV 感染者 YBMSM 之间的遗传簇，以及 (b) 地点，从而确定 HIV 传播簇并描述流行病传播模式。 - 基于归属网络分析的社会集群；（2）比较遗传集群和基于场所的社会集群，以确定地方层面的基于场所的艾滋病毒风险，这项研究的结果有望为发展基于场所的网络提供新的方向。分子科学指导的干预措施并对针对艾滋病毒/性传播感染高危人群的网络干预措施产生影响。