Personalized gene-diet study of rs2239670 gene variants and dietary patterns among obese adults

Author(s):  
Mahdieh Khodarahmi ◽  
Mahdi Niknam ◽  
Mahdieh Abbasalizad Farhangi
2019 ◽  
Vol 78 (1) ◽  
pp. 19-38 ◽  
Author(s):  
Stephanie F Cowan ◽  
Emily R Leeming ◽  
Andrew Sinclair ◽  
Aimee L Dordevic ◽  
Helen Truby ◽  
...  

Abstract Context Reduction of subclinical inflammation is a potential target for chronic disease management. Adiposity is a known modifier of meta-inflammation; however, the influence of dietary factors is less clear. Objective This review examines evidence from human trials evaluating effects of whole foods or dietary patterns on circulating inflammatory markers in weight-stable overweight and obese adults. It is the first review to investigate effects of diet on inflammation, independent of changes in adiposity. Data Sources The Ovid MEDLINE, EMBASE, CINAHL, and Cochrane databases were searched. Data Extraction Data extraction was conducted using the Cochrane Collaboration Handbook for Systematic Reviews of Interventions. Data Analysis Study quality was evaluated using the Cochrane Collaboration Risk of Bias Assessment tool. Thirty-three studies were included assessing effects of 17 foods and dietary patterns on 39 inflammatory markers. Conclusions Overall, foods and dietary patterns were not found to have significant effects on inflammatory markers in weight-stable individuals. Inconsistencies among studies were largely due to methodological limitations. Future research should invest in longer intervention periods and standardization of inflammatory marker panels paired with novel technologies, while ensuring anthropometric measures are monitored and adequately controls are used. Systematic Review Registration Prospero registration number CRD42017067765.


2001 ◽  
Vol 4 (5) ◽  
pp. 989-997 ◽  
Author(s):  
Susan E McCann ◽  
James R Marshall ◽  
John R Brasure ◽  
Saxon Graham ◽  
Jo L Freudenheim

AbstractObjective:To assess the effect of different methods of classifying food use on principal components analysis (PCA)-derived dietary patterns, and the subsequent impact on estimation of cancer risk associated with the different patterns.Methods:Dietary data were obtained from 232 endometrial cancer cases and 639 controls (Western New York Diet Study) using a 190-item semi-quantitative food-frequency questionnaire. Dietary patterns were generated using PCA and three methods of classifying food use: 168 single foods and beverages; 56 detailed food groups, foods and beverages; and 36 less-detailed groups and single food items.Results:Classification method affected neither the number nor character of the patterns identified. However, total variance explained in food use increased as the detail included in the PCA decreased (~8%, 168 items to ~17%, 36 items). Conversely, reduced detail in PCA tended to attenuate the odds ratio (OR) associated with the healthy patterns (OR 0.55, 95% confidence interval (CI) 0.35–0.84 and OR 0.77, 95% CI 0.49–1.20, 168 and 36 items, respectively) but not the high-fat patterns (OR 0.95, 95% CI 0.57–1.58 and OR 0.85, 0.51–1.40, 168 and 36 items, respectively).Conclusions:Greater detail in food-use information may be desirable in determination of dietary patterns for more precise estimates of disease risk.


2021 ◽  
Vol 5 (Supplement_2) ◽  
pp. 438-438
Author(s):  
Anna Ogilvie ◽  
Yvette Schlussel ◽  
Sue Shapses

Abstract Objectives A higher protein diet can be a successful approach to weight loss and improved health outcomes. However, the effect of a higher protein diet on other foods in the diet is not known. Evidence suggests diet quality scores provide a comprehensive representation of dietary intake and the complex interconnected nature of nutrient intake. In this study, the objective was to examine the effect of protein intake during moderate weight loss using four diet quality scores in overweight and obese adults. Methods Overweight and obese adults (n = 235) were counseled, bimonthly, to reduce energy intake over 6 months following the ADA food lists. The diets were individualized so range of macronutrient intake varied, but all individuals were encouraged to consume > 0.8 g/kg protein. Dietary intake was assessed and validated at baseline and ≥ 6 days during the intervention. In addition to the Healthy Eating Index (HEI), the Alternative Healthy Eating Index (AHEI), Mediterranean Diet Quality Score (MDS), and Dietary Approaches to Stop Hypertension diet quality score (DASH) were adjusted for energy intake and used to calculate diet quality. Results Subjects (55 ± 11 years) were overweight and obese (BMI 28.9 ± 4.0 kg/m2) and consumed 17.5 ± 5.3% energy from protein at baseline. During the intervention, subjects lost 4.5 ± 5.4% body weight, with a 333 ± 605 kcal deficit and 18.7 ± 3.5% protein intake. During the intervention, only the HEI score correlated with protein intake (r = 0.240, P < 0.001); however, all scoring methods (HEI AHEI, MDS, DASH) showed consistent patterns of food groups changing with higher protein intake. As expected, there was greater intake of meat, but also intake of vegetables. In addition, diet quality scores that measured dairy (HEI, DASH, MDS), unsaturated fatty acids (AHEI, MDS) and sodium (HEI, AHEI) showed an increase with higher protein intake. Conclusions In individuals following a weight loss diet, higher protein intake consistently altered dietary patterns of low-protein food components including higher intake of vegetables, unsaturated fat, and sodium. In an overweight and obese population with no comorbidities, HEI, AHEI, MDS, and DASH diet scores are effective methods of measuring diet quality and food patterns during moderate weight loss. Funding Sources Financial support by North American Branch-ILSI and National Institute of Health-NIA is appreciated.


2021 ◽  
Vol 8 ◽  
Author(s):  
Farah Naja ◽  
Leila Itani ◽  
Sarah Hammoudeh ◽  
Shaista Manzoor ◽  
Nada Abbas ◽  
...  

Purpose: To examine the dietary patterns and their associations with the FTO and FGF21 gene variants among Emirati adults.Methods: Using a cross-sectional design, healthy adult male and female Emiratis (n = 194) were recruited from primary health care centers in Sharjah, UAE. Participants completed a 61-item semi-quantitative food frequency questionnaire. In addition, a saliva sample was obtained for the genetic analysis. Genotyping was performed for FTOrs9939609(A>T), FTOrs9930506(A>G), FGF21 rs838133 (A > G), and FGF21 rs838145 (A > G). Dietary patterns were derived using the principal component analysis. Logistic regression analyses were used to examine the association of dietary patterns with genetic variants.Results: Three dietary patterns were identified: “Western”: consisting of fast food, sweets, and processed meat; “Traditional Emirati” rich in vegetables, traditional Emirati-mixed-dishes and whole dairy; while whole grains, low-fat dairy, and bulgur were components of the “Prudent” pattern. Subjects carrying the A allele of the FTO rs9939609 were 2.41 times more likely to adhere to the Western pattern compared to subjects with genotype TT (OR:2.41; 95%CI:1.05–5.50). Compared with subjects with A/A, those carrying the G allele of the FTO rs9930506 were more likely to follow a Western diet (OR: 2.19; 95%CI: 1.00–4.97). Participants carrying the risk allele (A) of the FGF21 rs838133 were twice more likely to adhere to the Traditional pattern as compared to subjects with genotype GG (OR: 1.9, 95%CI: 1.01–3.57).Conclusions: The findings of this study suggested associations among specific FTO and FGF21 gene variants with dietary patterns among Emirati adults. These findings could be used to inform evidence-based targeted nutrition preventive recommendations, especially those aiming to limit intake of western type foods.


Author(s):  
Hossein Shahinfar ◽  
Farhang Djafari ◽  
Nadia Babaei ◽  
Samira Davarzani ◽  
Mojdeh Ebaditabar ◽  
...  

Abstract. Background: The association between dietary patterns and cardiorespiratory fitness (CRF) is not well established. Objective: We sought to investigate association between a posteriori dietary pattern and CRF in middle-aged adults. Design: Adults (n = 276), aged 20–74 years, who were residents of Tehran, Iran were recruited. Diet was assessed by using a validated 168-item semi-quantitative food frequency questionnaire. Principal component analysis was used to derive dietary patterns. Socio-economic status, anthropometric measures, body composition, and blood pressure were recorded. CRF was assessed by using a graded exercise treadmill test. Analysis of variance and linear regression models were used to discern the association between dietary patterns and CRF. Results: Higher scores of the healthy dietary pattern had no association with VO2max (p = 0.13 ). After controlling for potential confounders, VO2max was positively associated across tertiles of healthy dietary patterns (p < 0.001). Higher adherence to the “mixed” dietary pattern was inversely related to VO2max (p < 0.01). After adjusting for confounders, the significant association disappeared (p = 0.14). Higher scores of the “Western” dietary pattern was not associated with VO2max (p = 0.06). However, after controlling for potential confounders, VO2max was positively associated with the “Western” dietary pattern (p = 0.01). A positive linear association between the “healthy” dietary pattern and CRF for the total sample (R2 = 0.02; p < 0.01) were presented. Conclusions: Overall, our findings suggest that higher adherence to a “healthy” and “Western” dietary pattern was positively associated with CRF. However, further studies are required to examine and clarify the causal relationship between dietary patterns and CRF.


2015 ◽  
Vol 85 (3-4) ◽  
pp. 145-155 ◽  
Author(s):  
Marjan Ghane Basiri ◽  
Gity Sotoudeh ◽  
Mahmood Djalali ◽  
Mohammad Reza Eshraghian ◽  
Neda Noorshahi ◽  
...  

Abstract. Background: The aim of this study was to identify dietary patterns associated with general and abdominal obesity in type 2 diabetic patients. Methods: We included 728 patients (35 - 65 years) with type 2 diabetes mellitus in this cross-sectional study. The usual dietary intake of individuals over 1 year was collected using a validated semi-quantitative food frequency questionnaire. Weight, height, and waist circumference were measured according to standard protocol. Results: The two major dietary patterns identified by factor analysis were healthy and unhealthy dietary patterns. After adjustment for potential confounders, subjects in the highest quintile of the healthy dietary pattern scores had a lower odds ratio for the general obesity when compared to the lowest quintile (OR = 0.45, 95 % CI = 0.26 - 0.79, P for trend = 0.02), while patients in the highest quintile of the unhealthy dietary pattern scores had greater odds for the general obesity (OR = 3.2, 95 % CI = 1.8 - 5.9, P for trend < 0.001). There were no significant associations between major dietary patterns and abdominal obesity, even after adjusting for confounding factors. Conclusion: This study shows that in patients with type 2 diabetes mellitus, a healthy dietary pattern is inversely associated and an unhealthy dietary pattern is directly associated with general obesity.


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