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Achenbach, P.* ; Warncke, K.* ; Reiter, J.* ; Naserke, H.E.* ; Williams, A.J.* ; Bingley, P.J.* ; Bonifacio, E.* ; Ziegler, A.-G.*

Stratification of type 1 diabetes risk on the basis of islet autoantibody characteristics.

Diabetes 53, 384-392 (2004)
DOI PMC
Open Access Green möglich sobald Postprint bei der ZB eingereicht worden ist.
Family history of type 1 diabetes and autoantibodies to the islet antigens insulin (IAA), glutamate decarboxylase (GADA), and the protein tyrosine phosphatase-like protein IA-2 (IA-2A) are strong predictors of type 1 diabetes, but the rate of progression to diabetes in multiple islet autoantibody-positive relatives varies widely. We asked whether detailed characterization of islet autoantibodies that included determination of titer, epitope specificity, and IgG subclass would improve diabetes prediction in a large cohort of autoantibody-positive relatives. The study shows a strong association between risk and high titer, broad antibody responses to IA-2 and insulin. The highest risks were associated with high-titer IA-2A and IAA, IgG2, IgG3, and/or IgG4 subclass of IA-2A and IAA, and antibodies to the IA-2-related molecule IA-2beta. Using models based on these antibody characteristics, autoantibody-positive relatives can be classified into groups with risks of diabetes ranging from 7 to 89% within 5 years.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Sprache englisch
Veröffentlichungsjahr 2004
HGF-Berichtsjahr 0
ISSN (print) / ISBN 0012-1797
e-ISSN 1939-327X
Zeitschrift Diabetes
Quellenangaben Band: 53, Heft: 2, Seiten: 384-392 Artikelnummer: , Supplement: ,
Verlag American Diabetes Association
Verlagsort Alexandria, VA.
Begutachtungsstatus Peer reviewed
Institut(e) Institute of Diabetes Research (IDF)
Institute of Diabetes and Obesity (IDO)
Institute of Pancreatic Islet Research (IPI)
POF Topic(s) 30201 - Metabolic Health
30502 - Diabetes: Pathophysiology, Prevention and Therapy
Forschungsfeld(er) Helmholtz Diabetes Center
PSP-Element(e) G-502100-001
G-502290-001
PubMed ID 14747289
DOI 10.2337/diabetes.53.2.384
WOS ID 000188739600015
Erfassungsdatum 2004-02-00
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