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首页> 外文期刊>Journal of Translational Medicine >Antibodies against insulin measured by electrochemiluminescence predicts insulitis severity and disease onset in non-obese diabetic mice and can distinguish human type 1 diabetes status
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Antibodies against insulin measured by electrochemiluminescence predicts insulitis severity and disease onset in non-obese diabetic mice and can distinguish human type 1 diabetes status

机译:通过电化学发光测量的针对胰岛素的抗体可预测非肥胖型糖尿病小鼠的胰岛炎严重程度和疾病发作,并可区分人类1型糖尿病状态

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Background The detection of insulin autoantibodies (IAA) aids in the prediction of autoimmune diabetes development. However, the long-standing, gold standard 125I-insulin radiobinding assay (RBA) has low reproducibility between laboratories, long sample processing times and requires the use of newly synthesized radiolabeled insulin for each set of assays. Therefore, a rapid, non-radioactive, and reproducible assay is highly desirable. Methods We have developed electrochemiluminescence (ECL)-based assays that fulfill these criteria in the measurement of IAA and anti-insulin antibodies (IA) in non-obese diabetic (NOD) mice and in type 1 diabetic individuals, respectively. Using the murine IAA ECL assay, we examined the correlation between IAA, histopathological insulitis, and blood glucose in a cohort of female NOD mice from 4 up to 36 weeks of age. We developed a human IA ECL assay that we compared to conventional RBA and validated using samples from 34 diabetic and 59 non-diabetic individuals in three independent laboratories. Results Our ECL assays were rapid and sensitive with a broad dynamic range and low background. In the NOD mouse model, IAA levels measured by ECL were positively correlated with insulitis severity, and the values measured at 8-10 weeks of age were predictive of diabetes onset. Using human serum and plasma samples, our IA ECL assay yielded reproducible and accurate results with an average sensitivity of 84% at 95% specificity with no statistically significant difference between laboratories. Conclusions These novel, non-radioactive ECL-based assays should facilitate reliable and fast detection of antibodies to insulin and its precursors sera and plasma in a standardized manner between laboratories in both research and clinical settings. Our next step is to evaluate the human IA assay in the detection of IAA in prediabetic subjects or those at risk of type 1 diabetes and to develop similar assays for other autoantibodies that together are predictive for the diagnosis of this common disorder, in order to improve prediction and facilitate future therapeutic trials.
机译:背景技术胰岛素自身抗体(IAA)的检测有助于预测自身免疫性糖尿病的发展。但是,长期的金标准 125 I-胰岛素放射性结合测定(RBA)在实验室之间的可重复性低,样品处理时间长,并且每组测定都需要使用新合成的放射性标记的胰岛素。因此,非常需要快速,非放射性和可再现的测定。方法我们开发了基于电化学发光(ECL)的检测方法,这些检测方法分别在非肥胖糖尿病(NOD)小鼠和1型糖尿病个体的IAA和抗胰岛素抗体(IA)的测量中符合这些标准。使用鼠类IAA ECL分析,我们检查了4至36周龄雌性NOD小鼠队列中IAA,组织病理学性岛炎和血糖之间的相关性。我们开发了一种人类IA ECL分析,将其与常规RBA进行了比较,并在三个独立的实验室中使用了来自34位糖尿病患者和59位非糖尿病患者的样本进行了验证。结果我们的ECL分析快速且灵敏,动态范围宽,背景低。在NOD小鼠模型中,通过ECL测得的IAA水平与胰岛炎严重程度呈正相关,而在8-10周龄时测得的值可预测糖尿病的发作。使用人血清和血浆样品,我们的IA ECL分析可产生可再现且准确的结果,在95%特异性下的平均灵敏度为84%,实验室之间的差异无统计学意义。结论这些新颖的,基于ECL的非放射性分析方法应有助于在实验室和研究机构之间以标准化的方式可靠,快速地检测针对胰岛素及其前体血清和血浆的抗体。我们的下一步是评估人类IA分析方法,以检测糖尿病前期受试者或处于1型糖尿病风险中的受试者的IAA,并为其他自身抗体开发类似的分析方法,共同预测该常见疾病的诊断,以改善预测并促进未来的治疗试验。

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