A multi-scale and multi-system approach to understand granuloma formation in TB

了解结核病肉芽肿形成的多尺度、多系统方法

• 批准号: 7877864
• 负责人: Denise E Kirschner
• 金额: $ 22.8万
• 依托单位: UNIVERSITY OF MICHIGAN AT ANN ARBOR
• 依托单位国家: 美国
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-07-15 至 2012-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7877864
• 关键词: Address; Animal Model; Animals; Antibiotics; Antigen Presentation; Antigens; Area; Arts; Automobile Driving; Binding; Biological; Blood Circulation; Breathing; Cell Communication; Cells; Cessation of life; Chemicals; Collaborations; Collection; Communicable Diseases; Communities; Computer Simulation; Data; Dendritic Cells; Development; Disease; Disease Outcome; Doctor of Philosophy; Effector Cell; Environment; Equipment; Evaluation; Event; Funding; Genus Mycobacterium; Goals; Grant; Granuloma; Human Resources; Immune; Immune response; Immunology; Individual; Infection; Infection Control; Integration Host Factors; Lead; Leadership; Link; Lung; Lymph; Maintenance; Manuscripts; Mentors; Michigan; Microbiology; Modeling; Molecular; Mus; Mycobacterium tuberculosis; Organ; Outcome; Persons; Postdoctoral Fellow; Privacy; Process; Publications; RNA Interference; Recruitment Activity; Research Personnel; Research Project Grants; Resources; Role; Running; Signal Transduction; Structure; Students; System; Systems Biology; T-Lymphocyte; Testing; Time; TimeLine; Tissues; Travel; Tuberculosis; Tumor Necrosis Factor-alpha; Tumor Necrosis Factors; Uncertainty; Universities; Vaccine Therapy; Videoconferences; Videoconferencing; Wages; Work; World Health; abstracting; base; chemokine; cytokine; in vivo; interdisciplinary approach; interdisciplinary collaboration; latent infection; lymph nodes; mathematical model; meetings; member; molecular scale; multi-scale modeling; nonhuman primate; outreach; primary outcome; pulmonary granuloma; receptor; success; tool; trafficking; tuberculosis immunity; vaccine development; vaccine efficacy; web site

DESCRIPTION (provided by applicant): Tuberculosis is responsible for 2 million deaths per year. The interplay between host and bacterial factors leads to different disease outcomes (latency, primary tuberculosis, reactivation tuberculosis). A key outcome is the formation of a collection of immune cells termed the granuloma. This structure acts not only as an immune microenvironment and a barrier to dissemination but also as a niche for long-term bacterial survival. The long- term goal of this project is to identify factors that contribute to different outcomes of M. tuberculosis infection. We hypothesize that these different infection outcomes are reflected locally at the level of the granuloma and that granuloma structure is the result of the interplay of events at organ, tissue, cellular, and molecular scales over the time course of minutes to years. Several models of granuloma formation in tuberculosis will be integrated: pulmonary granulomas induced by M. tuberculosis antigen (PPD) coated beads in vivo, M. tuberculosis infection in mice and non-human primates, and multi-scale in silico models. Our studies will include multiple spatial and temporal scales to address the following aims. Aim 1: Determine how specific immune cells and effector molecules in the lung influence the formation of different granuloma structures. Aim 2: Determine the role of dendritic cell and T cell trafficking between lung granuloma and draining lymph nodes in influencing granuloma development. Aim 3: Identify the mechanisms that determine TNF availability for the purpose of understanding how granulomas form as well as how treatment with anti-TNF-therapies leads to TB reactivation. Our interdisciplinary team's approach for integrating data and in silico models over the relevant biological and temporal scales will allow us to predict and test hypotheses regarding key factors that influence granuloma formation and structure. These factors are likely central to determining different disease outcomes following M. tuberculosis infection and will provide a new tool for testing therapies and vaccines against M. tuberculosis. Tuberculosis (TB) is a world health issue. The immune response to TB is unique, resulting in the formation of structures called granulomas in the lungs of infected people. We seek to understand the formation and function of these structures using integrated data generated from a variety of animal and computational models. (End of Abstract)

描述（由申请人提供）：结核病每年造成200万人死亡。宿主和细菌因素之间的相互作用导致不同的疾病结果（潜伏期，原发性结核病，再活化结核病）。一个关键结果是形成一系列称为肉芽肿的免疫细胞。这种结构不仅作为免疫微环境和传播屏障，而且作为细菌长期生存的生态位。本项目的长期目标是确定导致M不同结果的因素。肺结核感染。我们假设这些不同的感染结果在肉芽肿水平局部反映，肉芽肿结构是器官、组织、细胞和分子尺度上的事件在数分钟至数年的时间过程中相互作用的结果。本文综合了结核病肉芽肿形成的几种模型：M.结核抗原（PPD）包被珠体内，M.小鼠和非人灵长类动物中的结核病感染，以及多尺度计算机模型。我们的研究将包括多个空间和时间尺度，以解决以下目标。目的1：确定肺中特异性免疫细胞和效应分子如何影响不同肉芽肿结构的形成。目标二：确定树突状细胞和T细胞在肺肉芽肿和引流淋巴结之间的运输对肉芽肿发展的影响。目标三：确定确定TNF可用性的机制，以了解肉芽肿如何形成以及抗TNF治疗如何导致TB再激活。我们的跨学科团队在相关生物和时间尺度上整合数据和计算机模型的方法将使我们能够预测和测试有关影响肉芽肿形成和结构的关键因素的假设。这些因素可能是决定M.结核感染，并将提供一个新的工具，测试治疗和疫苗对M。结核结核病（TB）是一个世界性的健康问题。对结核病的免疫反应是独特的，导致感染者肺部形成称为肉芽肿的结构。我们试图了解这些结构的形成和功能，使用从各种动物和计算模型产生的综合数据。 (End摘要）

项目成果

Modeling socio-demography to capture tuberculosis transmission dynamics in a low burden setting.

• DOI: 10.1016/j.jtbi.2011.08.032
• 发表时间: 2011-11-21
• 期刊: JOURNAL OF THEORETICAL BIOLOGY
• 影响因子: 2
• 作者: Guzzetta, Giorgio;Ajelli, Marco;Yang, Zhenhua;Merler, Stefano;Furlanello, Cesare;Kirschner, Denise
• 通讯作者: Kirschner, Denise

The roles of immune memory and aging in protective immunity and endogenous reactivation of tuberculosis.

• DOI: 10.1371/journal.pone.0060425
• 发表时间: 2013
• 期刊: PloS one
• 影响因子: 3.7
• 作者: Guzzetta G;Kirschner D
• 通讯作者: Kirschner D