| 321. |
- Qi, Lu, et al.
(författare)
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Nutrigenetics of type 2 diabetes
- 2016
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Ingår i: The genetics of type 2 diabetes and related traits. - Cham : Springer. - 9783319015743 - 9783319015736 - 9783319791289 ; , s. 539-560
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Bokkapitel (refereegranskat)abstract
- Type 2 diabetes has become a leading health problem throughout the world. The escalating epidemic of type 2 diabetes is believed to result from a collision between inherent biological susceptibilities (genotypes) and a shift toward dietary habits and lifestyle that promote obesity over the past several decades; the transition from "traditional" to modern "obesogenic" lifestyles is characterized by widespread access to highly palatable, nutrient-deficient, and calorie-dense foods and beverages, as well as circumstances that promote sedentary behaviors and inhibit physical activity. In the past decades, a large body of epidemiological studies has associated various dietary factors with type 2 diabetes risk. In the meantime, genetic studies have made great strides in unraveling the genetic basis of type 2 diabetes by identifying more about 100 common genetic loci related to the disease. Nutrigenetics, a relatively new branch of nutrition science, focuses on determining the interplay between dietary exposures and genetic factors in the etiology of many diseases including type 2 diabetes. Even with many hundreds of gene-diet/lifestyle interaction studies on diabetes-related traits published over the past two decades, few examples have been adequately replicated or validated. By contrast, a number of replicated examples of interactions between lifestyle factors (e.g., consumption of sugar sweetened beverages and fried foods and low physical activity and sedentary lifestyles) and genetic factors in obesity (a major risk factor for diabetes) have recently emerged. Further advances are likely to come from the optimization of methods and study designs for nutrigenetic analyses. The development of methods to integrate genetic, transcriptomic, epigenomic, proteomic, and metabolomic data to help define the functional mechanisms that might underlie observations of gene-lifestyle interactions is an especially exciting, yet challenging, area. Nutrigenetic studies hold great promise to inform personalized diet and lifestyle interventions to reduce type 2 diabetes risk and improve human health; however, deriving replicated examples of such interactions and determining how best to translate these findings into public health practice and medical intervention remain major challenges.
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| 322. |
- Raghavan, Sridharan, et al.
(författare)
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Interaction of diabetes genetic risk and successful lifestyle modification in the Diabetes Prevention Programme
- 2021
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Ingår i: Diabetes, Obesity and Metabolism. - : Wiley. - 1462-8902 .- 1463-1326. ; 23:4, s. 1030-1040
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Tidskriftsartikel (refereegranskat)abstract
- Aim: To test whether diabetes genetic risk modifies the association of successful lifestyle changes with incident diabetes. Materials and methods: We studied 823 individuals randomized to the intensive lifestyle intervention (ILS) arm of the Diabetes Prevention Programme who were diabetes-free 1 year after enrolment. We tested additive and multiplicative interactions of a 67-variant diabetes genetic risk score (GRS) with achievement of three ILS goals at 1 year (≥7% weight loss, ≥150 min/wk of moderate leisure-time physical activity, and/or a goal for self-reported total fat intake) on the primary outcome of incident diabetes over 3 years of follow-up. Results: A lower GRS and achieving each or all three ILS goals were each associated with lower incidence of diabetes (all P < 0.05). Additive interactions were significant between the GRS and achievement of the weight loss goal (P < 0.001), physical activity goal (P = 0.02), and all three ILS goals (P < 0.001) for diabetes risk. Achievement of all three ILS goals was associated with 1.8 (95% CI 0.3, 3.4), 3.1 (95% CI 1.5, 4.7), and 3.9 (95% CI 1.6, 6.2) fewer diabetes cases/100-person-years in the first, second and third GRS tertiles (P < 0.001 for trend). Multiplicative interactions between the GRS and ILS goal achievement were significant for the diet goal (P < 0.001), but not for weight loss (P = 0.18) or physical activity (P = 0.62) goals. Conclusions: Genetic risk may identify high-risk subgroups for whom successful lifestyle modification is associated with greater absolute reduction in the risk of incident diabetes.
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| 323. |
- Redman, Leanne M., et al.
(författare)
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Attenuated early pregnancy weight gain by prenatal lifestyle interventions does not prevent gestational diabetes in the LIFE-Moms consortium
- 2021
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Ingår i: Diabetes Research and Clinical Practice. - : Elsevier BV. - 0168-8227. ; 171
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Tidskriftsartikel (refereegranskat)abstract
- Aims: To examine the effect of lifestyle (diet and physical activity) interventions on the prevalence of GDM, considering the method of GDM ascertainment and its association with early pregnancy characteristics and maternal and neonatal outcomes in the LIFE-Moms consortium. Methods: LIFE-Moms evaluated the effects of lifestyle interventions to optimize gestational weight gain in 1148 pregnant women with BMI ≥ 25 kg/m2 and without known diabetes at enrollment, compared with standard care. GDM was assessed between 24 and 31-weeks gestation by a 2-hour, 75-gram OGTT or by local clinical practice standards. Results: Lifestyle interventions initiated prior to 16 weeks reduced early excess GWG compared with standard care (0.35 ± 0.24 vs 0.43 ± 0.26 kg per week, p=<0.0001) but did not affect GDM diagnosis (11.1% vs 11.6%, p = 0.91). Using the 75-gram, 2-hour OGTT, 13. 0% of standard care and 11.0% of the intervention group had GDM by the IADPSG criteria (p = 0.45). The ‘type of diagnostic test’ did not change the result (p = 0.86). Women who developed GDM were significantly heavier, more likely to have obesity, and more likely to have dysglycemia at baseline. Conclusion: Moderate-to-high intensity lifestyle interventions grounded in behavior change theory initiated between 9 and 16-weeks gestation did not affect the prevalence of GDM despite reducing early GWG. Clinicaltrials.gov: NCT01545934, NCT01616147, NCT01771133, NCT01631747, NCT01768793, NCT01610752, NCT01812694.
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| 324. |
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| 325. |
- Renström, Frida, et al.
(författare)
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Replication and extension of genome-wide association study results for obesity in 4,923 adults from Northern Sweden.
- 2009
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Ingår i: Human Molecular Genetics. - : Oxford University Press (OUP). - 0964-6906 .- 1460-2083. ; 18:8, s. 1489-1496
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Tidskriftsartikel (refereegranskat)abstract
- Recent genome-wide association studies (GWAS) have identified multiple risk loci for common obesity (FTO, MC4R, TMEM18, GNPDA2, SH2B1, KCTD15, MTCH2, NEGR1, and PCSK1). Here we extend those studies by examining associations with adiposity and type 2 diabetes in Swedish adults. The nine single nucleotide polymorphisms (SNPs) were genotyped in 3,885 non-diabetic and 1,038 diabetic individuals with available measures of height, weight and BMI. Adipose mass and distribution was objectively assessed using dual energy X-ray absorptiometry (DEXA) in a sub-group of non-diabetics (n=2,206). In models with adipose mass traits, BMI or obesity as outcomes, the most strongly associated SNP was FTO rs1121980 (P<0.001). Five other SNPs (SH2B1 rs7498665, MTCH2 rs4752856, MC4R rs17782313, NEGR1 rs2815752, and GNPDA2 rs10938397) were significantly associated with obesity. To summarize the overall genetic burden, a weighted risk score comprising a subset of SNPs was constructed; those in the top quintile of the score were heavier (+2.6kg) and had more total (+2.4kg), gynoid (+191g), and abdominal (+136g) adipose tissue than those in the lowest quintile (all P<0.001). The genetic burden score significantly increased diabetes risk, with those in the highest quintile (n=193/594 cases/controls) being at 1.55-fold (95% CI: 1.21-1.99; P<0.0001) greater risk of type 2 diabetes than those in the lowest quintile (n=130/655 cases/controls). In summary, we have statistically replicated six of the previously associated obese-risk loci and our results suggest that the weight-inducing effects of these variants are explained largely by increased adipose accumulation.
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| 326. |
- Renström, Frida, et al.
(författare)
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Season-dependent associations of circadian rhythm-regulating loci (CRY1, CRY2 and MTNR1B) and glucose homeostasis : the GLACIER Study
- 2015
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Ingår i: Diabetologia. - : Springer Science and Business Media LLC. - 0012-186X .- 1432-0428. ; 58:5, s. 997-1005
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Tidskriftsartikel (refereegranskat)abstract
- Aims/hypothesis The association of single nucleotide polymorphisms (SNPs) proximal to CRY2 and MTNR1B with fasting glucose is well established. CRY1/2 and MTNR1B encode proteins that regulate circadian rhythmicity and influence energy metabolism. Here we tested whether season modified the relationship of these loci with blood glucose concentration. Methods SNPs rs8192440 (CRY1), rs11605924 (CRY2) and rs10830963 (MTNR1B) were genotyped in a prospective cohort study from northern Sweden (n = 16,499). The number of hours of daylight exposure during the year ranged from 4.5 to 22 h daily. Owing to the non-linear distribution of daylight throughout the year, season was dichotomised based on the vernal and autumnal equinoxes. Effect modification was assessed using linear regression models fitted with a SNP x season interaction term, marginal effect terms and putative confounding variables, with fasting or 2 h glucose concentrations as outcomes. Results The rs8192440 (CRY1) variant was only associated with fasting glucose among participants (n = 2,318) examined during the light season (beta = -0.04 mmol/l per A allele, 95% CI -0.08, -0.01, p = 0.02, p (interaction) = 0.01). In addition to the established association with fasting glucose, the rs11605924 (CRY2) and rs10830963 (MTNR1B) loci were associated with 2 h glucose concentrations (beta = 0.07 mmol/l per A allele, 95% CI 0.03, 0.12, p = 0.0008, n = 9,605, and beta = -0.11 mmol/l per G allele, 95% CI -0.15, -0.06, p < 0.0001, n = 9,517, respectively), but only in participants examined during the dark season (p (interaction) = 0.006 and 0.04, respectively). Repeated measures analyses including data collected 10 years after baseline (n = 3,500) confirmed the results for the CRY1 locus (p (interaction) = 0.01). Conclusions/interpretation In summary, these observations suggest a biologically plausible season-dependent association between SNPs at CRY1, CRY2 and MTNR1B and glucose homeostasis.
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| 327. |
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| 328. |
- Rockette-Wagner, Bonny, et al.
(författare)
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Activity and Sedentary Time 10 Years After a Successful Lifestyle Intervention : The Diabetes Prevention Program
- 2017
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Ingår i: American Journal of Preventive Medicine. - : ELSEVIER SCIENCE INC. - 0749-3797 .- 1873-2607. ; 52:3, s. 292-299
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Tidskriftsartikel (refereegranskat)abstract
- Introduction: This study aims to determine if evidence exists for a lasting effect of the Diabetes Prevention Program (DPP) lifestyle intervention on activity levels by comparing objectively collected activity data between the DPP Outcome Study (DPPOS) cohort and adults from the National Health and Nutrition Examination Survey (NHANES; 2003-2006). Methods: Average minutes/day of light and moderate to vigorous physical activity (MVPA) and sedentary behavior from ActiGraph accelerometers (collected 2010-2012) were examined (2013-2014) for comparable DPPOS and NHANES subgroups by age, sex, and diabetes status. Longitudinal questionnaire data on leisure activity, collected yearly from DPP baseline to the time of accelerometer measurement (1996-2010; 11.9-year mean follow-up), were also examined to provide support for a long-term intervention effect. Results: Average minutes/day of accelerometer-derived MVPA was higher in all DPPOS subgroups versus NHANES subgroups of similar age/sex/diabetes status; with values as much as twice as high in some DPPOS subgroups. Longitudinal questionnaire data from DPP/DPPOS showed a maintained increase of 1.24 MET hours/week (p=0.026) of leisure activity in DPPOS participants from all original study arms between DPP baseline and accelerometer recording. There were no consistent differences between comparable DPPOS and NHANES subgroups for accelerometer derived sedentary or light-intensity activity minutes/day. Conclusions: More than 10 years after the start of DPP, DPPOS participants performed more accelerometer-measured MVPA than similar adults from NHANES. Longitudinal questionnaire data support the accelerometer-based findings by suggesting that leisure activity levels at the time of accelerometer recording remained higher than DPP baseline levels.
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| 329. |
- Romieu, Isabelle, et al.
(författare)
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Energy balance and obesity : what are the main drivers?
- 2017
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Ingår i: Cancer Causes and Control. - : Springer Science and Business Media LLC. - 0957-5243 .- 1573-7225. ; 28:3, s. 247-258
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Tidskriftsartikel (refereegranskat)abstract
- Purpose: The aim of this paper is to review the evidence of the association between energy balance and obesity. Methods: In December 2015, the International Agency for Research on Cancer (IARC), Lyon, France convened a Working Group of international experts to review the evidence regarding energy balance and obesity, with a focus on Low and Middle Income Countries (LMIC). Results: The global epidemic of obesity and the double burden, in LMICs, of malnutrition (coexistence of undernutrition and overnutrition) are both related to poor quality diet and unbalanced energy intake. Dietary patterns consistent with a traditional Mediterranean diet and other measures of diet quality can contribute to long-term weight control. Limiting consumption of sugar-sweetened beverages has a particularly important role in weight control. Genetic factors alone cannot explain the global epidemic of obesity. However, genetic, epigenetic factors and the microbiota could influence individual responses to diet and physical activity. Conclusion: Energy intake that exceeds energy expenditure is the main driver of weight gain. The quality of the diet may exert its effect on energy balance through complex hormonal and neurological pathways that influence satiety and possibly through other mechanisms. The food environment, marketing of unhealthy foods and urbanization, and reduction in sedentary behaviors and physical activity play important roles. Most of the evidence comes from High Income Countries and more research is needed in LMICs.
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| 330. |
- Rukh, Gull, et al.
(författare)
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Inverse relationship between a genetic risk score of 31 BMI loci and weight change before and after reaching middle age
- 2016
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Ingår i: International Journal of Obesity. - : Springer Science and Business Media LLC. - 0307-0565 .- 1476-5497. ; 40:2, s. 252-259
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Tidskriftsartikel (refereegranskat)abstract
- BACKGROUND/OBJECTIVE: Genome-wide-association studies have identified numerous body mass index (BMI)-associated variants, but it is unclear how these relate to weight gain in adults at different ages.METHODS: We examined the association of a genetic risk score (GRS), consisting of 31 BMI-associated variants, with an annual weight change (AWC) and a substantial weight gain (SWG) of 10% by comparing self-reported weight at 20 years (y) with baseline weight (mean: 58 y; s.d.: 8 y) in 21407 participants from the Malmö Diet and Cancer Study (MDCS), and comparing baseline weight to weight at follow-up (mean: 73 y; s.d.: 6 y) among 2673 participants. Association between GRS and AWG and SWG was replicated in 4327 GLACIER (Gene x Lifestyle interactions And Complex traits Involved in Elevated disease Risk) participants (mean: 45 y; s.d.: 7 y) with 10 y follow-up. Cohort-specific results were pooled by fixed-effect meta-analyses.RESULTS: In MDCS, the GRS was associated with increased AWC (β: 0.003; s.e: 0.01; P: 7 × 10(-8)) and increased odds for SWG (odds ratio (OR) 1.01 (95% confidence interval (CI): 1.00, 1.02); P: 0.013) per risk-allele from age 20y, but unexpectedly with decreased AWC (β: -0.006; s.e: 0.002; P: 0.009) and decreased odds for SWG OR 0.96 (95% CI: 0.93, 0.98); P: 0.001) between baseline and follow-up. Effect estimates from age 20 y to baseline differed significantly from those from baseline to follow-up (P: 0.0002 for AWC and P: 0.0001 for SWG). Similar to MDCS, the GRS was associated with decreased odds for SWG OR 0.98 (95% CI: 0.96, 1.00); P: 0.029) from baseline to follow-up in GLACIER. In meta-analyses (n=7000), the GRS was associated with decreased AWC (β: -0.005; s.e.m. 0.002; P: 0.002) and decreased odds for SWG OR 0.97 (95% CI: 0.96, 0.99); P: 0.001) per risk-allele.CONCLUSIONS: Our results provide convincing evidence for a paradoxical inversed relationship between a high number of BMI-associated risk-alleles and less weight gain during and after middle-age, in contrast to the expected increased weight gain seen in younger age.
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