Diabetes autoantibodies do not predict progression to diabetes in adults: the Diabetes Prevention Program.
Publication/Presentation Date
9-1-2014
Abstract
AIMS: To determine if the presence of diabetes autoantibodies predicts the development of diabetes among participants in the Diabetes Prevention Program.
METHODS: A total of 3050 participants were randomized into three treatment groups: intensive lifestyle intervention, metformin and placebo. Glutamic acid decarboxylase (GAD) 65 autoantibodies and insulinoma-associated-2 autoantibodies were measured at baseline and participants were followed for 3.2 years for the development of diabetes.
RESULTS: The overall prevalence of GAD autoantibodies was 4.0%, and it varied across racial/ethnic groups from 2.4% among Asian-Pacific Islanders to 7.0% among non-Hispanic black people. There were no significant differences in BMI or metabolic variables (glucose, insulin, HbA(1c), estimated insulin resistance, corrected insulin response) stratified by baseline GAD antibody status. GAD autoantibody positivity did not predict diabetes overall (adjusted hazard ratio 0.98; 95% CI 0.56-1.73) or in any of the three treatment groups. Insulinoma-associated-2 autoantibodies were positive in only one participant (0.033%).
CONCLUSIONS: These data suggest that 'diabetes autoimmunity', as reflected by GAD antibodies and insulinoma-associated-2 autoantibodies, in middle-aged individuals at risk for diabetes is not a clinically relevant risk factor for progression to diabetes.
Volume
31
Issue
9
First Page
1064
Last Page
1068
ISSN
1464-5491
Published In/Presented At
Dabelea, D., Ma, Y., Knowler, W. C., Marcovina, S., Saudek, C. D., Arakaki, R., White, N. H., Kahn, S. E., Orchard, T. J., Goldberg, R., Palmer, J., Hamman, R. F., & Diabetes Prevention Program Research Group (2014). Diabetes autoantibodies do not predict progression to diabetes in adults: the Diabetes Prevention Program. Diabetic medicine : a journal of the British Diabetic Association, 31(9), 1064–1068. https://doi.org/10.1111/dme.12437
Disciplines
Business Administration, Management, and Operations | Health and Medical Administration | Management Sciences and Quantitative Methods
PubMedID
24646311
Department(s)
Administration and Leadership
Document Type
Article