首页> 美国卫生研究院文献>Diabetes Technology Therapeutics >ECL-IAA and ECL-GADA Can Identify High-Risk Single Autoantibody-Positive Relatives in the TrialNet Pathway to Prevention Study
【2h】

ECL-IAA and ECL-GADA Can Identify High-Risk Single Autoantibody-Positive Relatives in the TrialNet Pathway to Prevention Study

机译:ECL-IAA和ECL-GADA可以识别TrialNet预防研究途径中高风险的单一自身抗体阳性亲戚

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

>Background: Relatives with single positive islet autoantibodies have a much lower risk of progression to diabetes than those with multiple autoantibodies.>Materials and Methods: TrialNet subjects positive for single autoantibody to insulin (mIAA) (n = 50) or single autoantibody to glutamic acid decarboxylase (GADA) (n = 50) were analyzed using new electrochemiluminescence (ECL) assays (ECL-IAA and ECL-GADA, respectively) at their initial visit and longitudinally over time. Affinity assays were performed on a subset of single autoantibody-positive subjects at initial and most recent visits.>Results: After a mean follow-up of 5.3 years, 20 subjects developed type 1 diabetes. Among either single GADA or single mIAA subjects, those who were positive in the ECL assay showed higher affinity at the initial visit, and affinity results stayed consistent over time. No converting events from low to high or high to low affinity were seen over time.>Conclusions: Confirmed positivity for ECL is associated with high affinity and can help staging of risk for type 1 diabetes in single autoantibody-positive subjects.
机译:>背景:胰岛自身抗体阳性的亲属比患有多种自身抗体的亲属罹患糖尿病的风险要低得多。使用新的电化学发光(ECL)分析(分别为ECL-IAA和ECL-GADA)对mIAA(n == 50)或单个自身抗体的谷氨酸脱羧酶(GADA)(n == 50)进行分析,并随时间纵向进行分析。在首次就诊和最近就诊时,对单个自身抗体阳性受试者的子集进行了亲和力测定。>结果:在平均随访5.3年后,有20位受试者发展为1型糖尿病。在单个GADA或单个mIAA受试者中,在ECL分析中呈阳性的受试者在初次就诊时显示较高的亲和力,并且亲和力结果随时间保持一致。随着时间的推移,未观察到从低亲和力到高亲和力或从高亲和力到低亲和力的转化事件。>结论:经证实,对ECL的阳性与高亲和力有关,可以帮助分期单一自身抗体阳性的1型糖尿病风险科目。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号