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Understanding Islet Autoantibodies in Prediction of Type 1 Diabetes.
Jia, Xiaofan; Yu, Liping.
Afiliação
  • Jia X; Barbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, CO 80045, USA.
  • Yu L; Barbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, CO 80045, USA.
J Endocr Soc ; 8(1): bvad160, 2023 Dec 01.
Article em En | MEDLINE | ID: mdl-38169963
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: J Endocr Soc Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: J Endocr Soc Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos