| 1. |
- Davis, Nichola J., et al.
(author)
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Predictors of Sustained Reduction in Energy and Fat Intake in the Diabetes Prevention Program Outcomes Study Intensive Lifestyle Intervention
- 2013
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In: Journal of the American Dietetic Association. - : Elsevier BV. - 0002-8223. ; 113:11, s. 1455-1464
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Journal article (peer-reviewed)abstract
- Background Few lifestyle intervention studies examine long-term sustainability of dietary changes. Objective To describe sustainability of dietary changes over 9 years in the Diabetes Prevention Program and its outcomes study, the Diabetes Prevention Program Outcomes Study, among participants receiving the intensive lifestyle intervention. Design One thousand seventy-nine participants were enrolled in the intensive lifeStyle intervention arm of the Diabetes Prevention Program; 910 continued participation in the Diabetes Prevention Program Outcomes Study. Fat and energy intake derived from food frequency questionnaires at baseline and post-randomization Years 1 and 9 were examined. Parsimonious models determined whether baseline characteristics and intensive lifestyle intervention session participation predicted sustainability. Results Self-reported energy intake was reduced from a median of 1,876 kcal/day (interquartile range [IQR]=1,452 to 2,549 kcal/day) at baseline to 1,520 kcal/day (IQR=1,192 to 1,986 kcal/day) at Year 1, and 1,560 kcal/day (IQR=1,223 to 2,026 kcal/ day) at Year 9. Dietary fat was reduced from a median of 70.4 g (IQR=49.3 to 102.5 g) to 45 g (IQR=32.2 to 63.8 g) at Year 1 and increased to 61.0 g (IQR=44.6 to 82.7 g) at Year 9. Percent energy from fat was reduced from a median of 34.4% (IQR=29.6% to 38.5%) to 27.1% (IQR=23.1% to 31.5%) at Year 1 but increased to 35.3% (IQR=29.7% to 40.2%) at Year 9. Lower baseline energy intake and Year 1 dietary reduction predicted lower energy and fat gram intake at Year 9. Higher leisure physical activity predicted lower fat gram intake but not energy intake. Conclusions Intensive lifestyle intervention can result in reductions in total energy intake for up to 9 years. Initial success in achieving reductions in fat and energy intake and success in attaining activity goals appear to predict long-term success at maintaining changes.
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| 2. |
- Billings, Liana K., et al.
(author)
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The Influence of Rare Genetic Variation in SLC30A8 on Diabetes Incidence and beta-Cell Function
- 2014
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In: Journal of Clinical Endocrinology and Metabolism. - : The Endocrine Society. - 1945-7197 .- 0021-972X. ; 99:5, s. 926-930
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Journal article (peer-reviewed)abstract
- Context/Objective: The variant rs13266634 in SLC30A8, encoding a beta-cell-specific zinc transporter, is associated with type 2 diabetes. We aimed to identify other variants in SLC30A8 that increase diabetes risk and impair beta-cell function, and test whether zinc intake modifies this risk. Design/Outcome: We sequenced exons in SLC30A8 in 380 Diabetes Prevention Program (DPP) participants and identified 44 novel variants, which were genotyped in 3445 DPP participants and tested for association with diabetes incidence and measures of insulin secretion and processing. We examined individual common variants and used gene burden tests to test 39 rare variants in aggregate. Results: We detected a near-nominal association between a rare-variant genotype risk score and diabetes risk. Five common variants were associated with the oral disposition index. Various methods aggregating rare variants demonstrated associations with changes in oral disposition index and insulinogenic index during year 1 of follow-up. We did not find a clear interaction of zinc intake with genotype on diabetes incidence. Conclusions: Individual common and an aggregate of rare genetic variation in SLC30A8 are associated with measures of beta-cell function in the DPP. Exploring rare variation may complement ongoing efforts to uncover the genetic influences that underlie complex diseases.
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| 3. |
- Delahanty, Linda M., et al.
(author)
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Genetic Predictors of Weight Loss and Weight Regain After Intensive Lifestyle Modification, Metformin Treatment, or Standard Care in the Diabetes Prevention Program
- 2012
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In: Diabetes Care. - : American Diabetes Association. - 1935-5548 .- 0149-5992. ; 35:2, s. 363-366
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Journal article (peer-reviewed)abstract
- OBJECTIVE-We tested genetic associations with weight loss and weight regain in the Diabetes Prevention Program, a randomized controlled trial of weight-loss inducing interventions (lifestyle and metformin) versus placebo. RESEARCH DESIGN AND METHODS-Sixteen obesity-predisposing single nucleotide polymorphisms (SNPs) were tested for association with short-term (baseline to 6 months) and long-term (baseline to 2 years) weight loss and weight regain (6 months to study end). RESULTS-Irrespective of treatment, the Ala12 allele at PPARG associated with short- and long-term weight loss (-0.63 and -0.93 kg/allele, P <= 0.005, respectively). Gene-treatment interactions were observed for short-term (LYPLAL1 rs2605100, P-lifestyle*SNP = 0.032; GNPDA2 rs10938397, P-lifestyle*SNP = 0.016; MTCH2 rs10838738, P-lifestyle*SNP = 0.022) and long-term (NEGR1 rs2815752, P-metformin*SNP = 0.028; FTO rs9939609, P-lifestyle*SNP = 0.044) weight loss. Three of 16 SNPs were associated with weight regain (NEGR1 rs2815752, BDNF rs6265, PPARG rs1801282), irrespective of treatment. TMEM18 rs6548238 and KTCD15 rs29941 showed treatment-specific effects (P-lifestyle*SNP < 0.05). CONCLUSIONS-Genetic information may help identify people who require additional support to maintain reduced weight after clinical intervention.
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| 4. |
- Delahanty, Linda M, et al.
(author)
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Effects of Weight Loss, Weight Cycling, and Weight Loss Maintenance on Diabetes Incidence and Change in Cardiometabolic Traits in the Diabetes Prevention Program.
- 2014
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In: Diabetes Care. - : American Diabetes Association. - 1935-5548 .- 0149-5992. ; 37:10, s. 2738-2745
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Journal article (peer-reviewed)abstract
- This study examined specific measures of weight loss in relation to incident diabetes and improvement in cardiometabolic risk factors.RESEARCH DESIGN AND METHODS: This prospective, observational study analyzed nine weight measures, characterizing baseline weight, short- versus long-term weight loss, short- versus long-term weight regain, and weight cycling, within the Diabetes Prevention Program (DPP) lifestyle intervention arm (n = 1,000) for predictors of incident diabetes and improvement in cardiometabolic risk factors over 2 years.RESULTS: Although weight loss in the first 6 months was protective of diabetes (hazard ratio [HR] 0.94 per kg, 95% CI 0.90, 0.98; P < 0.01) and cardiometabolic risk factors (P < 0.01), weight loss from 0 to 2 years was the strongest predictor of reduced diabetes incidence (HR 0.90 per kg, 95% CI 0.87, 0.93; P < 0.01) and cardiometabolic risk factor improvement (e.g., fasting glucose: β = -0.57 mg/dL per kg, 95% CI -0.66, -0.48; P < 0.01). Weight cycling (defined as number of 5-lb [2.25-kg] weight cycles) ranged 0-6 times per participant and was positively associated with incident diabetes (HR 1.33, 95% CI 1.12, 1.58; P < 0.01), fasting glucose (β = 0.91 mg/dL per cycle; P = 0.02), HOMA-IR (β = 0.25 units per cycle; P = 0.04), and systolic blood pressure (β = 0.94 mmHg per cycle; P = 0.01). After adjustment for baseline weight, the effect of weight cycling remained statistically significant for diabetes risk (HR 1.22, 95% CI 1.02, 1.47; P = 0.03) but not for cardiometabolic traits.CONCLUSIONS: Two-year weight loss was the strongest predictor of reduced diabetes risk and improvements in cardiometabolic traits.
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| 5. |
- Franks, Paul, et al.
(author)
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Common variation at PPARGC1A/B and change in body composition and metabolic traits following preventive interventions : the Diabetes Prevention Program
- 2014
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In: Diabetologia. - : Springer. - 0012-186X .- 1432-0428. ; 57:3, s. 485-490
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Journal article (peer-reviewed)abstract
- PPARGC1A and PPARGCB encode transcriptional coactivators that regulate numerous metabolic processes. We tested associations and treatment (i.e. metformin or lifestyle modification) interactions with metabolic traits in the Diabetes Prevention Program, a randomised controlled trial in persons at high risk of type 2 diabetes. We used Tagger software to select 75 PPARGCA1 and 94 PPARGC1B tag single-nucleotide polymorphisms (SNPs) for analysis. These SNPs were tested for associations with relevant cardiometabolic quantitative traits using generalised linear models. Aggregate genetic effects were tested using the sequence kernel association test. In aggregate, PPARGC1A variation was strongly associated with baseline triacylglycerol concentrations (p = 2.9 x 10(-30)), BMI (p = 2.0 x 10(-5)) and visceral adiposity (p = 1.9 x 10(-4)), as well as with changes in triacylglycerol concentrations (p = 1.7 x 10(-5)) and BMI (p = 9.9 x 10(-5)) from baseline to 1 year. PPARGC1B variation was only associated with baseline subcutaneous adiposity (p = 0.01). In individual SNP analyses, Gly482Ser (rs8192678, PPARGC1A) was associated with accumulation of subcutaneous adiposity and worsening insulin resistance at 1 year (both p < 0.05), while rs2970852 (PPARGC1A) modified the effects of metformin on triacylglycerol levels (p (interaction) = 0.04). These findings provide several novel and other confirmatory insights into the role of PPARGC1A variation with respect to diabetes-related metabolic traits. Trial registration ClinicalTrials.gov NCT00004992.
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| 6. |
- McCaffery, Jeanne M., et al.
(author)
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TCF7L2 Polymorphism, Weight Loss and Proinsulin: Insulin Ratio in the Diabetes Prevention Program
- 2011
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In: PLoS ONE. - : Public Library of Science (PLoS). - 1932-6203. ; 6:7
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Journal article (peer-reviewed)abstract
- Aims: TCF7L2 variants have been associated with type 2 diabetes, body mass index (BMI), and deficits in proinsulin processing and insulin secretion. Here we sought to test whether these effects were apparent in high-risk individuals and modify treatment responses. Methods: We examined the potential role of the TCF7L2 rs7903146 variant in predicting resistance to weight loss or a lack of improvement of proinsulin processing during 2.5-years of follow-up participants (N = 2,994) from the Diabetes Prevention Program (DPP), a randomized controlled trial designed to prevent or delay diabetes in high-risk adults. Results: We observed no difference in the degree of weight loss by rs7903146 genotypes. However, the T allele (conferring higher risk of diabetes) at rs7903146 was associated with higher fasting proinsulin at baseline (P, 0.001), higher baseline proinsulin: insulin ratio (p<0.0001) and increased proinsulin: insulin ratio over a median of 2.5 years of follow-up (P = 0.003). Effects were comparable across treatment arms. Conclusions: The combination of a lack of impact of the TCF7L2 genotypes on the ability to lose weight, but the presence of a consistent effect on the proinsulin: insulin ratio over the course of DPP, suggests that high-risk genotype carriers at this locus can successfully lose weight to counter diabetes risk despite persistent deficits in insulin production.
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| 7. |
- Pan, Qing, et al.
(author)
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Variation at the Melanocortin 4 Receptor Gene and Response to Weight-Loss Interventions in the Diabetes Prevention Program
- 2013
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In: Obesity. - : Wiley-Blackwell. - 1930-7381 .- 1930-739X. ; 21:9, s. E520-E526
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Journal article (peer-reviewed)abstract
- Objective: To assess associations and genotype x treatment interactions for melanocortin 4 receptor (MC4R) locus variants and obesity-related traits.Design and Methods: Diabetes prevention program (DPP) participants (N = 3,819, of whom 3,356 were genotyped for baseline and 3,234 for longitudinal analyses) were randomized into intensive lifestyle modification (diet, exercise, weight loss), metformin or placebo control. Adiposity was assessed in a subgroup (n = 909) using computed tomography. All analyses were adjusted for age, sex, ethnicity and treatment.Results: The rs1943218 minor allele was nominally associated with short-term (6 month; P = 0.032) and long-term (2 year; P = 0.038) weight change. Eight SNPs modified response to treatment on short-term (rs17066856, rs9966412, rs17066859, rs8091237, rs17066866, rs7240064) or long-term (rs12970134, rs17066866) reduction in body weight, or diabetes incidence (rs17066829) (all P-interaction < 0.05).Conclusion: This is the first study to comprehensively assess the role of MC4R variants and weight regulation in a weight loss intervention trial. One MC4R variant was directly associated with obesity-related traits or diabetes; numerous other variants appear to influence body weight and diabetes risk by modifying the protective effects of the DPP interventions.
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| 8. |
- Pollin, Toni I., et al.
(author)
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Genetic Modulation of Lipid Profiles following Lifestyle Modification or Metformin Treatment: The Diabetes Prevention Program
- 2012
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In: PLoS Genetics. - : Public Library of Science (PLoS). - 1553-7404. ; 8:8
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Journal article (peer-reviewed)abstract
- Weight-loss interventions generally improve lipid profiles and reduce cardiovascular disease risk, but effects are variable and may depend on genetic factors. We performed a genetic association analysis of data from 2,993 participants in the Diabetes Prevention Program to test the hypotheses that a genetic risk score (GRS) based on deleterious alleles at 32 lipid-associated single-nucleotide polymorphisms modifies the effects of lifestyle and/or metformin interventions on lipid levels and nuclear magnetic resonance (NMR) lipoprotein subfraction size and number. Twenty-three loci previously associated with fasting LDL-C, HDL-C, or triglycerides replicated (P = 0.04-1x10(-17)). Except for total HDL particles (r = -0.03, P = 0.26), all components of the lipid profile correlated with the GRS (partial |r| = 0.07-0.17, P=5x10(-5)-1x10(-19)). The GRS was associated with higher baseline-adjusted 1-year LDL cholesterol levels (beta = +0.87, SEE +/- 0.22 mg/dl/allele, P=8x10(-5), P-interaction = 0.02) in the lifestyle intervention group, but not in the placebo (beta = +0.20, SEE +/- 0.22 mg/dl/allele, P = 0.35) or metformin (beta = -0.03, SEE +/- 0.22 mg/dl/allele, P = 0.90; P-interaction = 0.64) groups. Similarly, a higher GRS predicted a greater number of baseline-adjusted small LDL particles at 1 year in the lifestyle intervention arm (beta = +0.30, SEE +/- 0.012 ln nmol/L/allele, P = 0.01, P-interaction = 0.01) but not in the placebo (beta = 20.002, SEE +/- 0.008 ln nmol/L/allele, P = 0.74) or metformin (beta = +0.013, SEE +/- 0.008 nmol/L/allele, P = 0.12; P-interaction = 0.24) groups. Our findings suggest that a high genetic burden confers an adverse lipid profile and predicts attenuated response in LDL-C levels and small LDL particle number to dietary and physical activity interventions aimed at weight loss.
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