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Pancreatic islet autoantibodies as predictors of type 1 diabetes in the Diabetes Prevention Trial-Type 1.

机译:胰岛自身抗体可作为1型糖尿病预防试验中1型糖尿病的预测因子。

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OBJECTIVE: There is limited information from large-scale prospective studies regarding the prediction of type 1 diabetes by specific types of pancreatic islet autoantibodies, either alone or in combination. Thus, we studied the extent to which specific autoantibodies are predictive of type 1 diabetes. RESEARCH DESIGN AND METHODS: Two cohorts were derived from the first screening for islet cell autoantibodies (ICAs) in the Diabetes Prevention Trial-Type 1 (DPT-1). Autoantibodies to GAD 65 (GAD65), insulinoma-associated antigen-2 (ICA512), and insulin (micro-IAA [mIAA]) were also measured. Participants were followed for the occurrence of type 1 diabetes. One cohort (Questionnaire) included those who did not enter the DPT-1 trials, but responded to questionnaires (n = 28,507, 2.4% ICA(+)). The other cohort (Trials) included DPT-1 participants (n = 528, 83.3% ICA(+)). RESULTS: In both cohorts autoantibody number was highly predictive of type 1 diabetes (P < 0.001). The Questionnaire cohort was used to assess prediction according to the type of autoantibody. As single autoantibodies, ICA (3.9%), GAD65 (4.4%), and ICA512 (4.6%) were similarly predictive of type 1 diabetes in proportional hazards models (P < 0.001 for all). However, no subjects with mIAA as single autoantibodies developed type 1 diabetes. As second autoantibodies, all except mIAA added significantly (P < 0.001) to the prediction of type 1 diabetes. Within the positive range, GAD65 and ICA autoantibody titers were predictive of type 1 diabetes. CONCLUSIONS: The data indicate that the number of autoantibodies is predictive of type 1 diabetes. However, mIAA is less predictive of type 1 diabetes than other autoantibodies. Autoantibody number, type of autoantibody, and autoantibody titer must be carefully considered in planning prevention trials for type 1 diabetes.
机译:目的:关于通过特定类型的胰岛自身抗体(单独或联合使用)对1型糖尿病的预测,来自大规模前瞻性研究的信息有限。因此,我们研究了特定自身抗体可预测1型糖尿病的程度。研究设计和方法:两个人群来自糖尿病预防试验1型(DPT-1)的首次胰岛细胞自身抗体(ICAs)筛选。还测量了针对GAD 65(GAD65),胰岛素瘤相关抗原2(ICA512)和胰岛素(micro-IAA [mIAA])的自身抗体。随访参与者发生1型糖尿病的情况。一项队列研究(问卷)包括那些未参加DPT-1试验但对问卷进行了回答的人群(n = 28,507,ICA(+)为2.4%)。其他队列(试验)包括DPT-1参与者(n = 528,ICA(+)为83.3%)。结果:在这两个队列中,自身抗体数量都可高度预测1型糖尿病(P <0.001)。问卷队列用于根据自身抗体的类型评估预测。作为单一的自身抗体,ICA(3.9%),GAD65(4.4%)和ICA512(4.6%)在比例风险模型中同样可预测1型糖尿病(所有P均<0.001)。但是,没有mIAA作为单一自身抗体的受试者发生1型糖尿病。作为第二种自身抗体,除mIAA以外的所有抗体均显着增加了对1型糖尿病的预测(P <0.001)。在阳性范围内,GAD65和ICA自身抗体滴度可预测1型糖尿病。结论:数据表明自身抗体的数量可预测1型糖尿病。但是,与其他自身抗体相比,mIAA对1型糖尿病的预测性较低。在规划1型糖尿病的预防试验时,必须仔细考虑自身抗体的数量,自身抗体的类型和自身抗体的滴度。

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