Jia Xiaofan, Yu Liping
Barbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, CO, United States.
Front Clin Diabetes Healthc. 2023 Jan 23;3:1034698. doi: 10.3389/fcdhc.2022.1034698. eCollection 2022.
While worldwide prevention efforts for type 1 diabetes (T1D) are underway to abrogate or slow progression to diabetes, mass screening of islet autoantibodies (IAbs) in the general population is urgently needed. IAbs, the most reliable biomarkers, play an essential role in prediction and clinical diagnosis of T1D. Through laboratory proficiency programs and harmonization efforts, a radio-binding assay (RBA) has been well established as the current 'gold' standard assay for all four IAbs. However, in view of the need for large-scale screening in the non-diabetic population, RBA consistently faces two fundamental challenges, cost-efficiency and disease specificity. While all four IAbs are important for disease prediction, the RBA platform, with a separate IAb test format is laborious, inefficient and expensive. Furthermore, the majority of IAb positivity in screening, especially from individuals with single IAb were found to be low risk with low affinity. It is well documented from multiple clinical studies that IAbs with low affinity are low risk with less or no disease relevance. At present, two non-radioactive multiplex assays, a 3-assay ELISA combining three IAbs and a multiplex ECL assay combining all four IAbs, have been successfully used as the primary methods for general population screenings in Germany and the US, respectively. Recently, the TrialNet Pathway to Prevention study has been organizing an IAb workshop which aims to analyze the 5-year T1D predictive values of IAbs. A T1D-specific assay with high efficiency, low cost and requiring low volume of sample will definitely be necessary to benefit general population screening.
虽然全球范围内针对1型糖尿病(T1D)的预防工作正在开展,以消除或减缓糖尿病的进展,但迫切需要在普通人群中大规模筛查胰岛自身抗体(IAbs)。IAbs是最可靠的生物标志物,在T1D的预测和临床诊断中起着至关重要的作用。通过实验室能力验证计划和协调努力,放射结合分析(RBA)已成为目前检测所有四种IAbs的“金标准”检测方法。然而,鉴于需要在非糖尿病人群中进行大规模筛查,RBA一直面临两个基本挑战,即成本效益和疾病特异性。虽然所有四种IAbs对疾病预测都很重要,但RBA平台采用单独的IAb检测形式,既费力、效率低又昂贵。此外,在筛查中发现的大多数IAb阳性,尤其是单一IAb阳性个体,其风险较低且亲和力较低。多项临床研究充分证明,亲和力低的IAbs风险较低,与疾病的相关性较小或无相关性。目前,两种非放射性多重检测方法,一种结合三种IAbs的三联ELISA检测法和一种结合所有四种IAbs的多重ECL检测法,已分别在德国和美国成功用作普通人群筛查的主要方法。最近,预防糖尿病研究网络(TrialNet)的预防途径研究一直在组织IAb研讨会,旨在分析IAbs的5年T1D预测价值。一种高效、低成本且所需样本量少的T1D特异性检测方法对于普通人群筛查肯定是必要的。