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Diabetes Publish Ahead of Print published online ahead of print January 11, 2008
DOI: 10.2337/db07-1419

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Original Research

Adiponectin, Change in Adiponectin, and Progression to Diabetes in the Diabetes Prevention Program

Kieren J. Mather1, Tohru Funahashi2, Yuji Matsuzawa2, Sharon Edelstein3, George A. Bray4, Steven E. Kahn5, Jill Crandall6, Santica Marcovina7, Barry Goldstein8, Ronald Goldberg for the Diabetes Prevention Program9

1Division of Endocrinology & Metabolism, Indiana University School of Medicine, Indianapolis, IN
2Dept of Internal Medicine and Molecular Science, Osaka University, Osaka, Japan
3The Biostatistics Center, George Washington University, Rockville, MD
4Pennington Biomedical Research Center, Baton Rouge, LA
5Division of Metabolism, Endocrinology and Nutrition, Department of Medicine, VA Puget Sound Health Care System and University of Washington, Seattle, WA
6Albert Einstein College of Medicine, Bronx, NY
7Northwest Lipid Metabolism and Diabetes Research Laboratories, University of Washington, Seattle, WA
8Division of Endocrinology, Diabetes and Metabolic Diseases, Jefferson Medical College of Thomas Jefferson University, Philadelphia, PA
9 Diabetes Research Institute, University of Miami School of Medicine, Miami, FL

Objective: To determine whether baseline adiponectin level or intervention-associated change in adiponectin level were independently associated with progression to diabetes in the Diabetes Prevention Program (DPP).

Research Design and Methods: Cox proportional hazards analysis was used to evaluate the contribution of adiponectin and treatment-related change in adiponectin to risk of progression to diabetes mellitus.

Results: Baseline adiponectin was a strong independent predictor of incident diabetes in all treatment groups [HR per ~3 µg/ml higher level, 0.61 in lifestyle (ILS), 0.76 in metformin (MET), 0.79 in placebo (PLA), all p<0.001; p=0.13 comparing groups]. Baseline differences in adiponectin between sexes and race/ethnicity groups were not reflected in differences in diabetes risk. DPP interventions increased adiponectin levels (0.83±0.05 µg/ml ILS (mean±SE), 0.23±0.05 MET, 0.10±0.05 PLA, p<0.001 for increases vs baseline; p<0.01 comparing groups). These increases were associated with reductions in diabetes incidence independent of baseline adiponectin levels in lifestyle and placebo groups, but not in metformin-treated subjects [HR=0.72 in ILS (p<0.001), 0.92 in MET (p=0.18), and 0.89 in PLA (p=0.02) per ~1 µg/ml increase, p=0.02 comparing groups]. In the lifestyle group, adjusting for change in weight reduced but did not remove the effect of increased adiponectin.

Conclusions: Adiponectin is a powerful marker of diabetes risk in subjects at high risk of diabetes, even after adjustment for weight. An increase in adiponectin in lifestyle and placebo was associated with a reduction in diabetes risk. However, these changes in adiponectin were comparatively small and less strongly related to diabetes outcome than baseline adiponectin levels.


Correspondence: dppmail{at}biostat.bsc.gwu.edu


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