Abnormal regulation of glycemia (?dysglycemia?) has a very long time course, from the earliest stage of pre-diabetes, to the onset of Type 2 diabetes (T2D), to the development of clinically detectable microvascular changes and measurable atherosclerosis, to clinically manifest complications with attendant morbidity and mortality. The Diabetes Prevention Program (DPP) focused on the pre-diabetes stage of dysglycemia and demonstrated powerful beneficial effects of lifestyle intervention (ILS) and metformin (MET), compared with placebo (PLBO), in preventing or delaying the onset of T2D over a 3-year period in a high-risk population (n=3234). The DPP also investigated and described the interventions, phenotypic and genotypic risk factors associated with T2D development, the effects of the interventions in the setting of these risk factors, the health economic implications of T2D prevention, and other outcomes of interest. Based on these results, the DPP lifestyle program has been widely implemented. The DPP Outcomes Study (DPPOS) has explored the longer-term effects of T2D prevention in the DPP cohort, bridging the period between pre-diabetes and T2D, and has examined outcomes that required more time to develop than the 3-years of DPP. DPPOS showed longer-term salutary effects of the original interventions on T2D prevention and on cardiovascular disease (CVD) risk factors. The risk for microvascular disease was significantly greater in subjects who developed T2D and increased with longer duration and higher hemoglobin A1c (HbA1c). There were no significant differences by treatment group in the prevalence of the aggregate microvascular outcome; however, compared with PLBO and MET, ILS significantly reduced the risk of microvascular disease among women and those with HbA1c ?6.5%. During the one-year extension of DPPOS Phase 3, we will maintain and continue to follow the well-characterized and valuable DPPOS cohort, and collect measurements of outcomes as described in the protocol. We will 1) perform new analyses to characterize the heterogeneous course of dysglycemia and its long-term complications and factors that define susceptibility or resistance to diabetes, its complications, and common chronic conditions of aging, and 2) explore the factors associated with participant retention, adherence to the protocol and completion of measurements, and determine if alternative methods can be implemented to improve retention and adherence and to expand data collection.
These aims will provide important insights into prediabetes and diabetes and their long-term outcomes and could serve the potential further study of the DPPOS cohort.

Public Health Relevance

The DPPOS cohort is broadly representative of the current population with pre-diabetes and Type 2 diabetes (T2D), which affect >110,000,000 individuals in the U.S. with the total cost of diabetes currently estimated at $327 billion, and provides 24 years of information on their course and complications. Understanding the effects of preventing or delaying T2D on human disease, the potential long-term benefits of lifestyle intervention and metformin, one of the most commonly used medications in the world, and the clinical course of pre-diabetes and T2D is critical if we are to apply prevention and treatment methods effectively and efficiently. We will perform new analyses to characterize the heterogeneous course of dysglycemia and its long- term complications and factors that define susceptibility or resistance to diabetes, its complications, common chronic conditions of aging, and explore the factors associated with participant retention, adherence to the protocol and completion of measurements.

Agency
National Institute of Health (NIH)
Institute
National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
Type
Research Project--Cooperative Agreements (U01)
Project #
2U01DK048387-28
Application #
10154491
Study Section
Special Emphasis Panel (ZDK1)
Program Officer
Linder, Barbara
Project Start
1994-08-20
Project End
2022-01-31
Budget Start
2021-03-05
Budget End
2022-01-31
Support Year
28
Fiscal Year
2021
Total Cost
Indirect Cost
Name
Medstar Health Research Institute
Department
Type
DUNS #
189030067
City
Hyattsville
State
MD
Country
United States
Zip Code
20782
de Groot, Mary; Marrero, David; Mele, Lisa et al. (2018) Depressive Symptoms, Antidepressant Medication Use, and Inflammatory Markers in the Diabetes Prevention Program. Psychosom Med 80:167-173
Kim, Catherine; Aroda, Vanita R; Goldberg, Ronald B et al. (2018) Androgens, Irregular Menses, and Risk of Diabetes and Coronary Artery Calcification in the Diabetes Prevention Program. J Clin Endocrinol Metab 103:486-496
Ceglia, Lisa; Nelson, Jason; Ware, James et al. (2017) Association between body weight and composition and plasma 25-hydroxyvitamin D level in the Diabetes Prevention Program. Eur J Nutr 56:161-170
McCaffery, Jeanne M; Jablonski, Kathleen A; Franks, Paul W et al. (2017) Replication of the Association of BDNF and MC4R Variants With Dietary Intake in the Diabetes Prevention Program. Psychosom Med 79:224-233
Zhou, Kaixin; Yee, Sook Wah; Seiser, Eric L et al. (2016) Variation in the glucose transporter gene SLC2A2 is associated with glycemic response to metformin. Nat Genet 48:1055-1059
Kim, Catherine; Barrett-Connor, Elizabeth; Aroda, Vanita R et al. (2016) Testosterone and depressive symptoms among men in the Diabetes Prevention Program. Psychoneuroendocrinology 72:63-71
Walford, Geoffrey A; Ma, Yong; Clish, Clary et al. (2016) Metabolite Profiles of Diabetes Incidence and Intervention Response in the Diabetes Prevention Program. Diabetes 65:1424-33
Kim, C; Christophi, C A; Goldberg, R B et al. (2016) Adiponectin, C-reactive protein, fibrinogen and tissue plasminogen activator antigen levels among glucose-intolerant women with and without histories of gestational diabetes. Diabet Med 33:32-8
Aroda, Vanita R; Edelstein, Sharon L; Goldberg, Ronald B et al. (2016) Long-term Metformin Use and Vitamin B12 Deficiency in the Diabetes Prevention Program Outcomes Study. J Clin Endocrinol Metab 101:1754-61
Goldberg, Ronald B; Temprosa, Marinella; Mele, Lisa et al. (2016) Change in adiponectin explains most of the change in HDL particles induced by lifestyle intervention but not metformin treatment in the Diabetes Prevention Program. Metabolism 65:764-75

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