PuSH - Publication Server of Helmholtz Zentrum München

Bonifacio, E.

Predicting type 1 diabetes using biomarkers.

Diabetes Care 38, 989-996 (2015)
DOI PMC
Open Access Green as soon as Postprint is submitted to ZB.
Clinical type 1 diabetes is preceded by an asymptomatic phase that can be identified by serum islet autoantibodies. This perspective proposes that there is now sufficient evidence to allow a broader use of islet autoantibodies as biomarkers to diagnose type 1 diabetes that is already at an asymptomatic stage, so that attempts to prevent clinical hyperglycemia become a feature of disease management. Prediction would first, therefore, shift toward the use of genetic and other biomarkers to determine the likelihood that islet autoimmunity will develop in an infant, and second, toward metabolic assessment to stage and biomarkers to determine the rate of progression to hyperglycemia in children in whom islet autoimmunity is diagnosed. A case is presented for future comprehensive risk assessment that commences at birth and includes attempts to predict, stage, and prevent initiation and progression of the disease process at multiple stages. The biomarkers required achieving this level of sophistication and dissemination are discussed.
Altmetric
Additional Metrics?
[➜Log in]
Edit extra informations Login
Publication type Article: Journal article
Document type Scientific Article
Corresponding Author
ISSN (print) / ISBN 0149-5992
e-ISSN 1935-5548
Journal Diabetes Care
Quellenangaben Volume: 38, Issue: 6, Pages: 989-996 Article Number: , Supplement: ,
Publisher American Diabetes Association
Publishing Place Alexandria, Va.
Non-patent literature Publications
Reviewing status Peer reviewed
Institute(s) Institute for Pancreatic Beta Cell Research (IPI)
Institute of Diabetes Research Type 1 (IDF)
Institute of Diabetes and Obesity (IDO)