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了解胰岛自身抗体在1型糖尿病预测中的作用

Understanding Islet Autoantibodies in Prediction of Type 1 Diabetes.

作者信息

Jia Xiaofan, Yu Liping

机构信息

Barbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, CO 80045, USA.

出版信息

J Endocr Soc. 2024 Jan 2;8(1):bvad160. doi: 10.1210/jendso/bvad160. eCollection 2023 Dec 1.

Abstract

As screening studies and preventive interventions for type 1 diabetes (T1D) advance rapidly, the utility of islet autoantibodies (IAbs) in T1D prediction comes with challenges for early and accurate disease progression prediction. Refining features of IAbs can provide more accurate risk assessment. The advances in islet autoantibodies assay techniques help to screen out islet autoantibodies with high efficiency and high disease specificity. Exploring new islet autoantibodies to neoepitopes/neoantigens remains a hot research field for improving prediction and disease pathogenesis. We will review the recent research progresses of islet autoantibodies to better understand the utility of islet autoantibodies in prediction of T1D.

摘要

随着1型糖尿病(T1D)筛查研究和预防性干预措施的迅速发展,胰岛自身抗体(IAbs)在T1D预测中的应用给早期和准确的疾病进展预测带来了挑战。完善IAbs的特征可以提供更准确的风险评估。胰岛自身抗体检测技术的进步有助于高效且高疾病特异性地筛选出胰岛自身抗体。探索针对新表位/新抗原的新型胰岛自身抗体仍然是改善预测和疾病发病机制的热门研究领域。我们将综述胰岛自身抗体的最新研究进展,以更好地了解胰岛自身抗体在T1D预测中的作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5ded/10758755/bd0aee15bb13/bvad160f1.jpg

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