scholarly journals TCF7L2 genetic variants modulate the effect of dietary fat intake on changes in body composition during a weight-loss intervention

2012 ◽  
Vol 96 (5) ◽  
pp. 1129-1136 ◽  
Author(s):  
Josiemer Mattei ◽  
Qibin Qi ◽  
Frank B Hu ◽  
Frank M Sacks ◽  
Lu Qi
Author(s):  
Natalie A. Damen ◽  
Melanie Gillingham ◽  
Joyanna G. Hansen ◽  
Kent L. Thornburg ◽  
Jonathan Q. Purnell ◽  
...  

2020 ◽  
Vol 13 (6) ◽  
pp. 155-163
Author(s):  
Bridget A. Hannon ◽  
Caitlyn G. Edwards ◽  
Sharon V. Thompson ◽  
Sarah K. Burke ◽  
Nicholas A. Burd ◽  
...  

<b><i>Introduction:</i></b> The effect of various types of dietary fat on cardiometabolic health continues to be debated, due in part to the high heterogeneity of results following clinical trials investigating the effects of saturated (SFA) and unsaturated fat intake. This variability may be due to genetic differences. Individuals with obesity are at an increased risk for adverse cardiometabolic health and dyslipidemia, and often present with the combined phenotype of elevated triglyceride (TG) and decreased high-density lipoprotein (HDL) cholesterol concentrations. Studying genetic variants relevant to lipid and lipoprotein metabolism can elucidate the mechanisms by which diet might interact with genotype to influence these phenotypes. The objective of this study was to determine relationships of genetic variation, dietary fat intake, and blood lipid concentrations in adults with overweight and obesity. <b><i>Methods:</i></b> Genomic DNA, blood lipid concentrations (HDL and TG), and 7-day diet records were obtained from 101 adults (25–45 years of age) with overweight or obesity. Resting energy expenditure (REE) was measured using indirect calorimetry and used to determine implausible intakes using a modified Goldberg method (kilocalories/REE). Genetic variants included 23 single-nucleotide polymorphisms (SNPs) from 15 genes in lipid metabolism pathways. Variants were analyzed with dietary fat intake (total fat, SFA, monounsaturated fat [MUFA], and polyunsaturated fat [PUFA]) via regression analyses. All models were adjusted for age, sex, ancestry, visceral adipose tissue mass, and total kilocalorie intake. The Bonferroni correction was applied for multiple comparisons. <b><i>Results:</i></b> Two interactions were detected for TG concentrations. Five gene-diet interactions were associated with HDL concentrations. There was a significant interaction detected between the rs5882 variant of cholesterol-esterase transfer protein (<i>CETP</i>) and MUFA intake to associate with TG concentrations (interaction <i>p</i> = 0.004, <i>R</i><sup>2</sup> = 0.306). Among carriers of the <i>CETP-</i>rs5882 major allele (G), TG concentrations were significantly lower in individuals consuming more than the median MUFA intake (31 g/day) than in those with an intake below the median. Total dietary fat intake interacted with the rs13702 polymorphism of lipoprotein lipase (<i>LPL</i>) to associate with HDL concentrations (interaction <i>p</i> = 0.041, <i>R</i><sup>2</sup> = 0.419), by which individuals with the risk allele (G) had significantly higher HDL concentrations when consuming a higher-fat diet (&#x3e;92 g/day) than those with a lower-fat diet (56 ± 3 vs. 46 ± 2 mg/dL, <i>p</i> = 0.033). <b><i>Conclusions:</i></b> Interactions between dietary intake and genes in lipid metabolism pathways were found to be associated with blood lipid concentrations in adults with overweight and obesity. Fatty acid intake may not modulate blood lipid concentrations uniformly across all individuals. Additional research is needed to determine the biological causes of individual variability in response to dietary intake. Understanding the influence of nutrigenetic interactions on dyslipidemia can aid in the development and implementation of personalized dietary strategies to improve health.


2018 ◽  
Vol 108 (5) ◽  
pp. 1129-1134 ◽  
Author(s):  
Tao Zhou ◽  
Dianjianyi Sun ◽  
Yoriko Heianza ◽  
Xiang Li ◽  
Catherine M Champagne ◽  
...  

ABSTRACT Background Obesity is closely associated with bone health. Although diet and weight loss produce many metabolic benefits, studies of weight loss diets on bone health are conflicting. Genetic variations, such as vitamin D levels, may partly account for these conflicting observations by regulating bone metabolism. Objective We investigated whether the genetic variation associated with vitamin D concentration affected changes in bone mineral density (BMD) in response to a weight-loss diet intervention. Design In the 2-y Preventing Overweight Using Novel Dietary Strategies (POUNDS Lost) trial, BMD was measured for 424 participants who were randomly assigned to 1 of 4 diets varying in macronutrient intakes. A genetic risk score (GRS) was calculated based on 3 genetic variants [i.e., 7-dehydrocholesterol reductase (DHCR7) rs12785878, cytochrome P450 2R1 (CYP2R1) rs10741657 and group-specific component globulin (GC) rs2282679] related to circulating vitamin D levels. A dual-energy X-ray absorptiometry scan was performed to assess changes in whole-body BMD over 2 y. The final analysis included 370 participants at baseline. Results We found a significant interaction between dietary fat intake and vitamin D GRS on 2-y changes in whole-body BMD (P-interaction = 0.02). In the high-fat diet group, participants with higher GRS showed significantly less reduction in whole-body BMD than those with lower GRS, whereas the genetic associations were not significant in the low-fat diet group. We also found a significant interaction between dietary fat intake and the GRS on 6-mo change in femur neck BMD (P-interaction = 0.02); however, the interaction became nonsignificant at 2 y. Conclusion Our data indicate that dietary fat intake may modify the effect of vitamin D–related genetic variation on changes in BMD. Overweight or obese patients predisposed to sufficient vitamin D may benefit more in maintaining BMD along with weight loss by eating a low-fat diet. This trial was registered at clinicaltrials.gov as NCT03258203.


Gut ◽  
2018 ◽  
Vol 68 (2) ◽  
pp. 263-270 ◽  
Author(s):  
Yoriko Heianza ◽  
Dianjianyi Sun ◽  
Xiang Li ◽  
Joseph A DiDonato ◽  
George A Bray ◽  
...  

ObjectiveAlterations in gut microbiota have been linked to host insulin resistance, diabetes and impaired amino acid metabolism. We investigated whether changes in gut microbiota-dependent metabolite of trimethylamine N-oxide (TMAO) and its nutrient precursors (choline and L-carnitine) were associated with improvements in glucose metabolism and diabetes-related amino acids in a weight-loss diet intervention.DesignWe included 504 overweight and obese adults who were randomly assigned to one of four energy-reduced diets varying in macronutrient intake. The 6-month changes (Δ) in TMAO, choline and L-carnitine levels after the intervention were calculated.ResultsGreater decreases in choline and L-carnitine were significantly (p<0.05) associated with greater improvements in fasting insulin concentrations and homeostasis model assessment of insulin resistance (HOMA-IR) at 6 months. The reduction of choline was significantly related to 2-year improvements in glucose and insulin resistance. We found significant linkages between dietary fat intake and ΔTMAO for changes in fasting glucose, insulin and HOMA-IR (pinteraction <0.05); a greater increase in TMAO was related to lesser improvements in the outcomes among participants who consumed a high-fat diet. In addition, ΔL-carnitine and Δcholine were significantly related to changes in amino acids (including branched-chain and aromatic amino acids). Interestingly, the associations of ΔTMAO, Δcholine and ΔL-carnitine with diabetes-related traits were independent of the changes in amino acids.ConclusionOur findings underscore the importance of changes in TMAO, choline and L-carnitine in improving insulin sensitivity during a weight-loss intervention for obese patients. Dietary fat intake may modify the associations of TMAO with insulin sensitivity and glucose metabolism.Trial registration numberNCT00072995.


2013 ◽  
Author(s):  
Eleanor B. Tate ◽  
Susan M. Schembre ◽  
Gillian O'Reilly ◽  
Mary Ann Pentz ◽  
Genevieve Dunton

Diabetes ◽  
2018 ◽  
Vol 67 (Supplement 1) ◽  
pp. 1893-P
Author(s):  
AMBER B. COURVILLE ◽  
SHANNA BERNSTEIN ◽  
MIRELLA GALVAN-DE LA CRUZ ◽  
ANTHONY ONUZURUIKE ◽  
NIRUPA R. MATTHAN ◽  
...  

Diabetes ◽  
2020 ◽  
Vol 69 (Supplement 1) ◽  
pp. 1734-P
Author(s):  
AUSTIN REILLY ◽  
SHIJUN YAN ◽  
ALEXA J. LONCHARICH ◽  
HONGXIA REN

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