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Quantitative measurement of T1D risk through molecular signature analysis

Quantitative measurement of T1D risk through molecular signature analysis
通过分子特征分析定量测量 T1D 风险
批准号:
8483534
负责人:
CARLA J GREENBAUM
金额:
$85.67万
依托单位国家:
美国
项目类别:
财政年份:
2013
资助国家:
美国
项目状态:
已结题
起止时间:
2013-04-05 至 2017-03-31

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英文摘要
DESCRIPTION (provided by applicant): Successfully delaying or preventing type 1 diabetes (T1D) will depend heavily on distinguishing those individuals that will progress to T1D among those individuals possessing high risk major histocompatibility complex alleles and/or titers for islet cell auto-antibodies (AA). Towards this goal, we have developed and applied a sensitive bioassay that measures the effect of serum or plasma on induced transcript levels in a well- controlled "reporter" peripheral blood mononuclear cell (PBMC) population. With this approach we have defined a recent onset (RO) T1D signature that includes genes regulated by interleukin-1, a cytokine that induces pancreatic ¿-cell apoptosis in vitro and co-stimulates T-cells. This response is modulated by blocking IL-1 receptor in cultures and is distinct from that induced by samples of unrelated healthy controls, long- standing T1D patients, or patients possessing other diseases. So far, we have examined longitudinal samples of 9 progressors to T1D; in all cases the RO T1D signature was evident prior to onset. Importantly, this signature was detected in 3/3 cases where samples were available prior to AA development. Our data support the hypothesis that the dilute cytokine milieu associated with autoimmunity towards the pancreatic ¿-cells is sufficient to induce a unique T1D-specific transcriptional profile; this signature reflects active autoimmunity, is disease specific, and may improve disease prediction beyond AA. In response to Program Announcement " Response to PAR-11-350: Research Using Biosamples From Selected Type 1 Diabetes Clinical Studies (DP3)" we propose this collaborative, multicenter study where the following aims will be perused to refine this mechanistically informative biomarker and define its predictive potential and utility: 1) Define the signature as a quantitative early biomarker for staging T1D progression. 2) Define disease-specificity of the T1D-signature.
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Type 1 Diabetes in Acute Pancreatitis Consortium, Pacific Northwest Clinical Center: Immune Pathogenesis of Post-Pancreatitis T1D
Type 1 Diabetes in Acute Pancreatitis Consortium, Pacific Northwest Clinical Center: Immune Pathogenesis of Post-Pancreatitis T1D
Type 1 Diabetes in Acute Pancreatitis Consortium, Pacific Northwest Clinical Center: Immune Pathogenesis of Post-Pancreatitis T1D
Type 1 Diabetes TrialNet Clinical Network Hub
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