Document Detail


Predicting type I diabetes.
MedLine Citation:
PMID:  2201499     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Currently, there are three markers that are being studied with the potential to give a high positive predictive value for the development of type I diabetes (insulin-dependent diabetes caused by autoimmune beta-cell destruction) and that can be utilized to predict the disease in susceptible relatives: 1) high-titer cytoplasmic islet cell antibodies, 2) insulin autoantibodies detected with fluid-phase radiobinding assays, and 3) first-phase insulin release after intravenous glucose less than 1st percentile. With the combination of these assays, it seems to be possible to identify first-degree relatives with a high probability of developing type I diabetes within a limited time span (i.e., less than 10 yr). The ability to predict type I diabetes with selected assays will allow trials for prevention of diabetes and trials to assess whether prediction will decrease morbidity and mortality at onset of diabetes.
Authors:
A G Ziegler; R D Herskowitz; R A Jackson; J S Soeldner; G S Eisenbarth
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, P.H.S.; Review    
Journal Detail:
Title:  Diabetes care     Volume:  13     ISSN:  0149-5992     ISO Abbreviation:  Diabetes Care     Publication Date:  1990 Jul 
Date Detail:
Created Date:  1990-09-25     Completed Date:  1990-09-25     Revised Date:  2007-11-14    
Medline Journal Info:
Nlm Unique ID:  7805975     Medline TA:  Diabetes Care     Country:  UNITED STATES    
Other Details:
Languages:  eng     Pagination:  762-5     Citation Subset:  IM    
Affiliation:
Joslin Diabetes Center, Brigham and Women's Hospital, New England Deaconess Hospital, Boston, MA 02215.
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MeSH Terms
Descriptor/Qualifier:
Autoantibodies / analysis
Biological Markers / analysis
Child
Diabetes Mellitus, Type 1 / diagnosis*,  genetics,  immunology
Disease Susceptibility
Genetic Markers
Humans
Insulin Antibodies / analysis
Islets of Langerhans / immunology
Grant Support
ID/Acronym/Agency:
R01-DK-32083-07/DK/NIDDK NIH HHS; R01-DK-33790-04/DK/NIDDK NIH HHS; R01-DK-39233-02/DK/NIDDK NIH HHS
Chemical
Reg. No./Substance:
0/Autoantibodies; 0/Biological Markers; 0/Genetic Markers; 0/Insulin Antibodies; 0/islet cell antibody

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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