An integrated strategy to define the functional and synergistic impact of T1D causal variants
An integrated strategy to define the functional and synergistic impact of T1D causal variants
批准号:
9227381
负责人:
David J Rawlings
金额:
$441.14万
依托单位国家:
美国
项目类别:
财政年份:
2016
资助国家:
美国
项目状态:
已结题
起止时间:
2016-09-30 至 2021-05-31
关键词:
AddressAntigen ReceptorsBiochemicalBiological MarkersCellsCodeComplexCytokine ReceptorsDataDefectDevelopmentDiseaseEnvironmental ExposureEragrostisGenerationsGenesGeneticGenetic RiskGrantHealthHomologous GeneHumanIFNAR1 geneImmuneImmune ToleranceIndividualInsulin-Dependent Diabetes MellitusInterferonsInterleukin-12Islet CellIslets of LangerhansModelingMusPTPN22 genePathogenesisPathogenicity IsletsPathway interactionsPatientsProcessProductionProteomicsPublishingRNAReceptor SignalingResearch DesignRiskRoleSamplingSignal TransductionSingle-Gene DefectStreptozocinT-Cell ActivationT-LymphocyteTYK2TechnologyTherapeutic AgentsVariantViralWorkbasebiochemical toolscombinatorialcytokinediabetes riskdisorder riskgenetic variantinsulin dependent diabetes mellitus onsetisletmouse modelnovel markerprogramsresponserisk varianttool
中文摘要
摘要
1型糖尿病(T1D)是一种遗传背景和环境因素共同作用的复杂疾病
曝光。其发病机制涉及多种生化和发育过程。而当
罕见的单基因缺陷会导致T1D,我们假设T1D通常是通过
两个或更多关键免疫程序中的协同缺陷。可以使用与T1D相关的遗传变异
作为一个指南,以了解这些计划中的个别和组合更改如何有助于
T1D的发展和进展。尽管T1D涉及多个计划,但在此拨款中,我们将
关注四种编码变体,PTPN22、TYK2、SH2B3和IFIH1。我们的工作和其他人已经确立了:
TID PTPN22风险变异体(PTPN22R)改变抗原受体(AR)信号,影响T细胞选择,
发育和生存;TYK2保护性变异体(TYK2P)和SH2B3风险变异体(SH2B3R)改变细胞因子
IFIH1风险变异体(IFIH1R)导致干扰素-1的产生增加。在这个DP3中,我们将
解决PTPN22R、TYK2NP、SH2B3R变体单独和联合作用的假设
致病的胰岛特异性T细胞在T1D中的发展;这些变异的影响进一步
被增强的干扰素反应放大,如IFIH1R,导致疾病风险增加
发展。我们提出了以下具体目标:目标1将决定AR信号如何改变
与PTPN22R相关的程序导致胰岛特异性效应T细胞的致病性增加;AIM 2将
确定SH2B3R和TYK2P如何在T细胞激活和分化程序中起作用
目标3将确定PTPN22R是否与信号程序协同
受SH2B3R、TYK2P或IFIH1R影响,调节免疫耐受和T1D发育。我们将应用一个
综合方法利用:原代人类细胞,人类风险变异的小鼠模型,并通过采取
尖端基因编辑和蛋白质组学技术的优势。这种方法将使我们能够
全面询问这些特定基因的功能含义,以及信号如何
它们调节的程序协同起作用,对TID做出贡献。值得注意的是,我们发现改变后的
由T1D风险变量驱动的程序通常模仿在疾病中观察到的程序,即使在缺乏
我们对特定的风险变量进行建模。因此,对特定遗传风险变异及其功能影响的研究
广泛适用于理解T1D的发病机制,并将为开发新的
治疗1型糖尿病的生物标志物和治疗剂。
英文摘要
ABSTRACT
Type 1 diabetes (T1D) is a complex disease arising as a result of both genetic background and environmental
exposures. Multiple biochemical and developmental programs have been implicated in its pathogenesis. While
rare single gene defects can result in T1D, we hypothesize that T1D generally arises through a combination of
synergistic defects in two or more key immune ‘programs’. Genetic variants associated with T1D can be used
as a guide to understand how alterations in these programs individually and in combination contribute to the
development and progression of T1D. Although multiple programs are implicated in T1D, in this grant we will
focus on four coding variants, PTPN22, TYK2, SH2B3 and IFIH1. Our work and others has established that:
the TID PTPN22 risk variant (PTPN22R) alters antigen receptor (AR) signaling, impacting T cell selection,
development and survival; the TYK2 protective variant (TYK2P) and SH2B3 risk variant (SH2B3R) alter cytokine
responses; and the IFIH1 risk variant (IFIH1R) results in enhanced IFN-1 production. In this DP3, we will
address the hypothesis that PTPN22R, TYK2NP, SH2B3R variants individually and in combination contribute to
the development of pathogenic islet specific T cells in T1D; and that the impact of these variants is further
amplified by an enhanced Interferon response, as seen with IFIH1R, resulting in increased risk for disease
development. We propose the following specific aims: Aim 1 will determine how the altered AR signaling
program associated with PTPN22R leads to increased pathogenicity of islet specific effector T cells; Aim 2 will
determine how SH2B3R and TYK2P contribute to alterations in the T cell activation and differentiation program
in health and disease; and Aim 3 will determine whether PTPN22R synergizes with signaling programs
impacted by SH2B3R, TYK2P or IFIH1R to modulate immune tolerance and T1D development. We will apply an
integrated approach utilizing: primary human cells, murine models of the human risk variant, and by taking
advantage of cutting edge gene editing and proteomics technologies. This approach will allow us to
comprehensively interrogate the functional implications of these specific genes and, how the signaling
programs that they modulate, function in concert to contribute to TID. Notably, we have found that the altered
programs driven by T1D risk variants often mimic those observed in disease, even in patients lacking the
specific risk variants we model. Thus, studies of specific genetic risk variants and their functional implications
are broadly applicable to understanding the pathogenesis of T1D and will inform the development of new
biomarkers and therapeutic agents to treat type 1 diabetes.
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