APPLYING BIOINFORMATICS AND COMPUTATIONAL BIOLOGY TO STUDY HIV/AIDS

应用生物信息学和计算生物学研究艾滋病毒/艾滋病

• 批准号: 7959271
• 负责人: Tsegaye Habtemariam
• 金额: $ 5.2万
• 依托单位: TUSKEGEE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-09-18 至 2010-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7959271
• 关键词: AIDS epidemiology; AIDS/HIV problem; African American; Alabama; Behavioral; Bioinformatics; Biomedical Research; Clinic; Communities; Computational Biology; Computer Retrieval of Information on Scientific Projects Database; Computer Simulation; Data; Data Analyses; Development; Disease; Epidemiologic Studies; Epidemiology; Funding; Future; Grant; Highly Active Antiretroviral Therapy; Infection; Infection prevention; Institution; Intervention; Journals; Manuscripts; Modeling; Molecular; Outcome; Population; Preventive; Research; Research Personnel; Resources; Risk; Socioeconomic Factors; Source; System; Therapeutic; United States National Institutes of Health; Universities; health disparity; insight; novel

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. This project focuses upon Research in Computational Epidemiology with an emphasis on a health disparity disease of major concern, that of HIV/AIDS. SPECIFIC AIMS: 1) Development of a novel micro-epidemiologic computational model for HIV/AIDS at the intracellular level: The model was developed to provide insights in how an intracellular/molecular level model can be incorporated within a macro-epidemiologic integrative systems dynamics model for examining a variety of computational experimentations. 2) Development of a systems dynamics model and modelling of the multifactorial epidemiology of HIV/AIDS. An epidemiologic model that incorporates cellular/molecular (micro level) and macro level epidemiologic dynamics for examining preventive and therapeutic strategies of HIV/AIDS in African American sub populations was developed. 3) Modelling of the multifactorial epidemiology of HIV/AIDS: Multifactorial and quantitative epidemiologic studies that interrelate (biomedical, behavioral, and socioeconomic factors) determinants have been developed. Using these models as our experimental medium, we evaluate various intervention scenarios to recommend effective strategies for the community to minimize the risk of new infections prevent future infections and manage existing infections. 4) Static modeling to examine if HAART Therapies for HIV/AIDS. To answer the question of which combination of HAART is most effective we collaborated with the University of Alabama at Birmingham (UAB) 1917 HIV/AIDS clinic. Although the results of this study appeared promising in the beginning, they did not provide clear and reliable outcomes. STUDIES AND RESULTS: Manuscripts are being prepared for submission to journals. PLANS: To continue analyzing data, gathering more data and information for the estimation of the parameters and variables of the model for HIV/AIDS with a focus on the macro-epidemiology of AIDS in African Americans.

该子项目是利用该技术的众多研究子项目之一 资源由 NIH/NCRR 资助的中心拨款提供。子项目及 研究者 (PI) 可能已从 NIH 的另一个来源获得主要资金， 因此可以在其他 CRISP 条目中表示。列出的机构是 对于中心来说，它不一定是研究者的机构。 该项目的重点是计算流行病学研究，重点是人们主要关注的健康差异疾病，即艾滋病毒/艾滋病。具体目标： 1) 开发一种新型的细胞内水平的艾滋病毒/艾滋病微观流行病学计算模型：该模型的开发是为了提供关于如何将细胞内/分子水平模型纳入宏观流行病学综合系统动力学模型的见解用于检查各种计算实验。 2) 系统动力学模型的开发和艾滋病毒/艾滋病多因素流行病学的建模。开发了一种流行病学模型，该模型结合了细胞/分子（微观水平）和宏观水平流行病学动态，用于检查非裔美国人亚人群中艾滋病毒/艾滋病的预防和治疗策略。 3）艾滋病毒/艾滋病多因素流行病学建模：已经开发了相互关联（生物医学、行为和社会经济因素）决定因素的多因素和定量流行病学研究。使用这些模型作为我们的实验媒介，我们评估各种干预方案，为社区推荐有效的策略，以最大限度地降低新感染的风险，预防未来的感染并管理现有的感染。 4) 静态模型检查HAART 疗法是否能治疗HIV/AIDS。为了回答哪种 HAART 组合最有效的问题，我们与阿拉巴马大学伯明翰分校 (UAB) 1917 HIV/AIDS 诊所合作。 尽管这项研究的结果一开始看起来很有希望，但并没有提供明确可靠的结果。 研究和结果：正在准备手稿以提交给期刊。计划：继续分析数据，收集更多数据和信息，以估计艾滋病毒/艾滋病模型的参数和变量，重点关注非裔美国人艾滋病的宏观流行病学。