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Parameters that influence CD4+ T cell diabetogenic potential

Parameters that influence CD4+ T cell diabetogenic potential
影响 CD4 T 细胞致糖尿病潜力的参数
批准号:
8320238
负责人:
Dario AA Vignali
金额:
$37.19万
依托单位国家:
美国
项目类别:
财政年份:
2011
资助国家:
美国
项目状态:
已结题
起止时间:
2011-08-15 至 2015-06-30

项目摘要

项目成果

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中文摘要
翻译
描述(由申请人提供):1型糖尿病(T1D)是一种复杂的疾病,由T细胞进入胰岛并随后破坏产生胰岛素的b细胞介导。控制这些事件的机制尚不清楚,对其更深入的了解可能会导致新的治疗策略的发展。解决这些复杂问题的一个重大限制是缺乏适当的遗传工具。我们已经开发了一种快速生成TCR Tg小鼠的新方法,我们称之为逆转录(Rg)小鼠。我们将使用一组针对胰岛素(Ins)和嗜铬粒蛋白a (ChgA)这两种具有广泛致胰岛素性和致糖尿病潜能的主要自身抗原的tcr,新型小鼠模型和创新的尖端技术来确定调节CD4+ T细胞致胰岛素性和致糖尿病性的生物物理和时间参数。这是本项目的主要焦点和长期目标。最简单的假设是,“高度致糖尿病的CD4+ T细胞在胰淋巴结(PLN)中生成和激活,并具有独特的生物物理、动力学和迁移特征,这决定了它们的致病性”。这一假设将在两个高度整合的目标中得到检验和参数定义:目标1:影响CD4+ T细胞致糖尿病性的生物物理参数。(A) TCR的生物物理特性是否决定了CD4+ T细胞的致胰岛素和致糖尿病潜能?与Brian Evavold (Emory university)合作,我们将确定Ins和chga特异性tcr对其同源肽- mhc复合物(pMHC)的2D亲和力,结合(on)率和解离(off)率。结合TCR Rg - T细胞在功能分析中的敏感性,我们将确定这些生物物理参数是否决定了它们的致糖尿病潜力。(B)抗原可获得性是否影响CD4+ T细胞进入胰岛和致糖尿病性?我们将产生NOD小鼠,其中b细胞限制的模型自身抗原GAD65的表达可以被外部控制。我们将评估抗原表达水平和TCR功能亲合力如何影响T细胞致病性。目的2:影响CD4+ T细胞致糖尿病的时间参数。(A) CD4+ T细胞进入胰岛的动力学是否决定了患糖尿病的可能性?我们将比较T细胞胰岛浸润的动力学(通过流式细胞术和组织学分析来评估)和b细胞破坏的速率(通过活体小鼠的非侵入性生物发光成像来确定)。(B) CD4+ T细胞在胰岛内的迁移特性是否决定了糖尿病的发生潜力?在与Alexander Chervonsky(芝加哥大学)的合作中,多光子活体显微镜将用于跟踪胰岛内CD4+ T细胞的迁移,以确定它们的迁移特征与其胰岛素生成和糖尿病潜能之间是否存在相关性。
英文摘要
DESCRIPTION (provided by applicant): Type 1 diabetes (T1D) is a complex disease that is mediated by T cell entry into pancreatic islets and the subsequent destruction of insulin-producing b cells. The mechanisms that control these events are poorly understood, a greater understanding of which could lead to the development of novel therapeutic strategies. A significant limitation in addressing these complex issues has been the availability of appropriate genetic tools. We have developed a new approach for the rapid generation of TCR Tg mice, which we refer to as retrogenic (Rg) mice. We will use a panel of TCRs specific for two primary autoantigens of considerable interest, insulin (Ins) and chromogranin A (ChgA), that possess a very broad range of insulitogenic and diabetogenic potentials, novel mouse models and innovative, cutting-edge techniques to determine the biophysical and temporal parameters that regulate CD4+ T cell insulitogenicity and diabetogenicity. This is the primary focus and long-term objective of this project. The simplest hypothesis is that 'highly diabetogenic CD4+ T cells are optimally generated and activated in the pancreatic lymph node (PLN), and have a unique biophysical, kinetic and migratory signature which dictates their pathogenicity'. This hypothesis will be tested and parameters defined in two highly integrated Aims: Aim 1: Biophysical parameters that influence CD4+ T cell diabetogenicity. (A) Do the biophysical properties of the TCR dictate the insulitogenic and diabetogenic potential of CD4+ T cells? In collaboration with Brian Evavold (Emory Univ.), we will determine the 2D affinity, association (on) rate, and dissociation (off) rate of the Ins- and ChgA-specific TCRs for their cognate peptide-MHC complex (pMHC). Together with the sensitivity of TCR Rg T cells in functional assays, we will determine if these biophysical parameters dictate their diabetogenic potential. (B) Does antigen availability affect CD4+ T cell islet entry and diabetogenicity? We will generate NOD mice in which the b cell-restricted expression of a model autoantigen, GAD65, can be externally controlled. We will assess how antigen expression levels and TCR functional avidity cooperate to influence T cell pathogenicity. Aim 2: Temporal parameters that influence CD4+ T cell diabetogenicity. (A) Does the kinetics of CD4+ T cell islet entry determine diabetogenic potential? We will compare the kinetics of T cell islet infiltration, assessed by flow cytometric and histological analysis, and the rate of b cell destruction, determined using non- invasive, bioluminescent imaging of live mice. (B) Do the intra-islet migratory characteristics of CD4+ T cells dictate diabetogenic potential? In collaboration with Alexander Chervonsky (Univ. Chicago), multiphoton intravital microscopy will be used to track CD4+ T cell migration within the islets to determine whether there is a correlation between their migratory characteristics and their insulitogenic and diabetogenic potential.
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