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Rahimi MR, Symonds ME. Effect of FTO genotype on exercise training and diet-indued weight loss in overweight and obese adults: a systematic review and meta-analysis. Crit Rev Food Sci Nutr 2024:1-17. [PMID: 39054902 DOI: 10.1080/10408398.2024.2382346] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/27/2024]
Abstract
Our meta-analysis, encompassing 30 studies with 46,976 subjects, aimed to explore the impact of fat mass and obesity-associated protein (FTO) genotypes on weight response to exercise and dietary interventions in overweight and obese adults. Electronic databases including PubMed and Google Scholar were searched from 2020 to September 2023 to identify relevant studies. Results revealed a significant reduction in body weight among individuals with the FTO risk allele following exercise and diet interventions (standardized mean difference [SMD] = - 0.619, 95% CI: - 1.137, - 0.100; p = .01). When examining FTO variants, both AA (SMD = - 0.148, 95% CI: - 0.282, - 0.014, p = .03, I2 = 24.96) and TA genotypes (SMD = - 0.674, 95% CI: - 1.162, - 0.186, p = .007, I2 = 91.12) showed significant weight reduction compared to the TT genotype. Moreover, individuals with the high-risk genotype AA + TT achieved greater weight loss compared to those with the normal-risk genotype TT (SMD = - 0.419, 95% CI: - 0.655, -0.183, p = .0001, I2 = 92.08) in the dominant genetic model. Subgroup analysis indicated that FTO risk allele carriers (AA + AT) with exercise interventions lasting six months and a body mass index of 25 - 29 experienced greater weight loss compared to TT carriers. These findings emphasize the importance of genetic considerations in weight management interventions and suggest personalized approaches for combating obesity. Further clinical trials are warranted to validate our study's findings.
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Affiliation(s)
| | - Michael E Symonds
- Academic Unit of Population and Lifespan Sciences, Centre for Perinatal Research, School of Medicine, University of Nottingham, Nottingham, UK
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Tan PY, Moore JB, Bai L, Tang G, Gong YY. In the context of the triple burden of malnutrition: A systematic review of gene-diet interactions and nutritional status. Crit Rev Food Sci Nutr 2022; 64:3235-3263. [PMID: 36222100 PMCID: PMC11000749 DOI: 10.1080/10408398.2022.2131727] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
Genetic background interacts with dietary components to modulate nutritional health status. This study aimed to review the evidence for gene-diet interactions in all forms of malnutrition. A comprehensive systematic literature search was conducted through April 2021 to identify observational and intervention studies reporting the effects of gene-diet interactions in over-nutrition, under-nutrition and micronutrient status. Risk of publication bias was assessed using the Quality Criteria Checklist and a tool specifically designed for gene-diet interaction research. 167 studies from 27 populations were included. The majority of studies investigated single nucleotide polymorphisms (SNPs) in overnutrition (n = 158). Diets rich in whole grains, vegetables, fruits and low in total and saturated fats, such as Mediterranean and DASH diets, showed promising effects for reducing obesity risk among individuals who had higher genetic risk scores for obesity, particularly the risk alleles carriers of FTO rs9939609, rs1121980 and rs1421085. Other SNPs in MC4R, PPARG and APOA5 genes were also commonly studied for interaction with diet on overnutrition though findings were inconclusive. Only limited data were found related to undernutrition (n = 1) and micronutrient status (n = 9). The findings on gene-diet interactions in this review highlight the importance of personalized nutrition, and more research on undernutrition and micronutrient status is warranted.
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Affiliation(s)
- Pui Yee Tan
- School of Food Science and Nutrition, Faculty of Environment, University of Leeds, Leeds, United Kingdom
| | - J. Bernadette Moore
- School of Food Science and Nutrition, Faculty of Environment, University of Leeds, Leeds, United Kingdom
| | - Ling Bai
- School of Food Science and Nutrition, Faculty of Environment, University of Leeds, Leeds, United Kingdom
- School of Psychology, University of East Anglia, Norwich, United Kingdom
| | - GuYuan Tang
- School of Food Science and Nutrition, Faculty of Environment, University of Leeds, Leeds, United Kingdom
| | - Yun Yun Gong
- School of Food Science and Nutrition, Faculty of Environment, University of Leeds, Leeds, United Kingdom
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Franzago M, Di Nicola M, Fraticelli F, Marchioni M, Stuppia L, Vitacolonna E. Nutrigenetic variants and response to diet/lifestyle intervention in obese subjects: a pilot study. Acta Diabetol 2022; 59:69-81. [PMID: 34480216 PMCID: PMC8758637 DOI: 10.1007/s00592-021-01787-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/19/2021] [Accepted: 08/11/2021] [Indexed: 12/19/2022]
Abstract
AIMS Nutritional and lifestyle interventions can contribute to prevent and treat obesity and its complications; however, genetic background may influence the success of a therapy. The aim of this pilot study is to evaluate the effects of the interaction between nutrigenetic variants and nutritional intervention, as well as the changes in clinical parameters and the adherence to Mediterranean diet (MedDiet) and to physical activity, of 18 overweight or obese subjects affected by T2D or dysglycemia included in a nutritional program. METHODS The subjects' clinical parameters as well as their PREDIMED score and physical activity levels were recorded and compared at baseline, at 6 months and at the end of the intervention. Rs9939609 in FTO, rs17782313 near MC4R, rs326 in LPL, rs16147 in NPY, rs2943641 near IRS-1 were genotyped. RESULTS The subjects carrying the A allele in FTO lost less weight (p = 0.022) and had a lower BMI decrease from baseline to 12 months (p-interaction = 0.047) than TT carriers. In addition, there was a significant PREDIMED score modification over time, according to genotypes for FTO rs9939609 (p = 0.025) and NPY rs16147 (p = 0.039), respectively. CONCLUSIONS These preliminary findings show a significant interaction between genetic variants and the PREDIMED score, suggesting that individuals carrying the FTO variant may lose less weight than non-carriers through diet/lifestyle intervention.
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Affiliation(s)
- Marica Franzago
- Department of Medicine and Aging, School of Medicine and Health Sciences, "G. D'Annunzio" University, Via dei Vestini, 66100, Chieti-Pescara, Chieti, Italy
- Center for Advanced Studies and Technology (CAST), "G. D'Annunzio" University, Chieti-Pescara, Chieti, Italy
| | - Marta Di Nicola
- Laboratory of Biostatistics, Department of Medical, Oral and Biotechnological Sciences, "G. D'Annunzio" University, Chieti-Pescara, Chieti, Italy
| | - Federica Fraticelli
- Department of Medicine and Aging, School of Medicine and Health Sciences, "G. D'Annunzio" University, Via dei Vestini, 66100, Chieti-Pescara, Chieti, Italy
| | - Michele Marchioni
- Laboratory of Biostatistics, Department of Medical, Oral and Biotechnological Sciences, "G. D'Annunzio" University, Chieti-Pescara, Chieti, Italy
| | - Liborio Stuppia
- Center for Advanced Studies and Technology (CAST), "G. D'Annunzio" University, Chieti-Pescara, Chieti, Italy
- Department of Psychological, Health and Territorial Sciences, School of Medicine and Health Sciences, "G. D'Annunzio" University, Chieti-Pescara, Chieti, Italy
| | - Ester Vitacolonna
- Department of Medicine and Aging, School of Medicine and Health Sciences, "G. D'Annunzio" University, Via dei Vestini, 66100, Chieti-Pescara, Chieti, Italy.
- Center for Advanced Studies and Technology (CAST), "G. D'Annunzio" University, Chieti-Pescara, Chieti, Italy.
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Association between the FTO rs9939609 single nucleotide polymorphism and dietary adherence during a 2-year caloric restriction intervention: Exploratory analyses from CALERIE™ phase 2. Exp Gerontol 2021; 155:111555. [PMID: 34543722 DOI: 10.1016/j.exger.2021.111555] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2021] [Revised: 08/20/2021] [Accepted: 09/09/2021] [Indexed: 01/15/2023]
Abstract
Caloric restriction (CR) improves markers of aging in humans; but it is not known if the fat mass and obesity-associated gene (FTO) rs9939609 single nucleotide polymorphism (SNP), which is associated with appetite and energy intake, influences adherence to prolonged CR. Utilizing data from the two-year Comprehensive Assessment of Long-term Effects of Reducing Intake of Energy (CALERIE™) phase 2 randomized controlled trial, we tested whether the FTO rs9939609 SNP was associated with adherence to CR in healthy adults without obesity. As secondary aims, we assessed whether the FTO rs9939609 SNP was associated with changes in body composition, biomarkers of aging, and eating behaviors. Participants were randomized into either a CR group that targeted a 25% reduction in energy intake compared to the habitual energy intake at baseline, or an ad libitum (AL) control group. Participants were genotyped for the FTO rs9939609 SNP. Dietary adherence was determined through changes in energy intake using doubly labeled water and changes in body composition at baseline, month 12, and month 24 in both the CR and AL condition. Weight, body composition, resting metabolic rate (RMR), adiponectin, insulin, leptin, and eating behaviors were measured at the same timepoints. A total of 144 participants (91 CR and 53 AL, age: 38.6 ± 7.1 years; body mass index: 25.3 ± 1.7 kg/m2) were studied. Of these, 27 were homozygous for the 'obesity-risk' A allele (AA), while 44 were homozygous for the T allele (TT) and 73 were heterozygotes (AT). By design, the CR group exhibited greater percent CR compared to the AL group during the trial (P < 0.01), but no genotype-by-treatment interaction was observed for change in energy intake or percent CR (P ≥ 0.40). The FTO rs9939609 SNP was also negligibly associated with change in most other endpoints (P ≥ 0.13), though AAs showed a reduction in RMR adjusted for body composition change over the 24 months relative to TTs (genotype-by-treatment interaction: P = 0.03). In a two-year CR intervention delivered to healthy individuals without obesity, the FTO rs9939609 SNP was not associated with adherence to CR and did not alter improvements in most aging biomarkers.
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Isgin-Atici K, Alsulami S, Turan-Demirci B, Surendran S, Sendur SN, Lay I, Karabulut E, Ellahi B, Lovegrove JA, Alikasifoglu M, Erbas T, Vimaleswaran KS, Buyuktuncer Z. FTO gene-lifestyle interactions on serum adiponectin concentrations and central obesity in a Turkish population. Int J Food Sci Nutr 2021; 72:375-385. [PMID: 32746650 DOI: 10.1080/09637486.2020.1802580] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2020] [Revised: 07/07/2020] [Accepted: 07/23/2020] [Indexed: 12/18/2022]
Abstract
The aim of the study was to investigate whether lifestyle factors modify the association between fat mass and obesity-associated (FTO) gene single nucleotide polymorphisms (SNPs) and obesity in a Turkish population. The study included 400 unrelated individuals, aged 24-50 years recruited in a hospital setting. Dietary intake and physical activity were assessed using 24-hour dietary recall and self-report questionnaire, respectively. A genetic risk score (GRS) was developed using FTO SNPs, rs9939609 and rs10163409. Body mass index and fat mass index were significantly associated with FTO SNP rs9939609 (p = 0.001 and p = 0.002, respectively) and GRS (p = 0.002 and p = 0.003, respectively). The interactions between SNP rs9939609 and physical activity on adiponectin concentrations, and SNP rs10163409 and dietary protein intake on increased waist circumference were statistically significant (Pinteraction = 0.027 and Pinteraction = 0.044, respectively). Our study has demonstrated that the association between FTO SNPs and central obesity might be modified by lifestyle factors in this Turkish population.
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Affiliation(s)
- Kubra Isgin-Atici
- Department of Nutrition and Dietetics, Faculty of Health Sciences, Hacettepe University, Ankara, Turkey
| | - Sooad Alsulami
- Department of Food and Nutritional Sciences, University of Reading, Whiteknights, Reading, UK
- Department of Clinical Nutrition, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Busra Turan-Demirci
- Department of Nutrition and Dietetics, Faculty of Health Sciences, Hacettepe University, Ankara, Turkey
| | - Shelini Surendran
- Department of Food and Nutritional Sciences, University of Reading, Whiteknights, Reading, UK
| | - Suleyman Nahit Sendur
- Department of Endocrinology and Metabolism, School of Medicine, Hacettepe University, Ankara, Turkey
| | - Incilay Lay
- Department of Medical Biochemistry, School of Medicine, Hacettepe University, Ankara, Turkey
- Clinical Pathology Laboratory, Hacettepe University Hospitals, Ankara, Turkey
| | - Erdem Karabulut
- Department of Biostatistics, School of Medicine, Hacettepe University, Ankara, Turkey
- Department of Bioinformatics, Hacettepe University, Ankara, Turkey
| | - Basma Ellahi
- Faculty of Health and Social Care, University of Chester, Chester, UK
| | - Julie A Lovegrove
- Department of Food and Nutritional Sciences, University of Reading, Whiteknights, Reading, UK
| | - Mehmet Alikasifoglu
- Department of Medical Genetics, School of Medicine, Hacettepe University Ankara, Turkey
- Genetics Diagnostic Centre, DAMAGEN, Ankara, Turkey
| | - Tomris Erbas
- Department of Endocrinology and Metabolism, School of Medicine, Hacettepe University, Ankara, Turkey
| | | | - Zehra Buyuktuncer
- Department of Nutrition and Dietetics, Faculty of Health Sciences, Hacettepe University, Ankara, Turkey
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Examining the effect of obesity-associated gene variants on breast cancer survivors in a randomized weight loss intervention. Breast Cancer Res Treat 2021; 187:487-497. [PMID: 33677781 DOI: 10.1007/s10549-021-06151-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2020] [Accepted: 02/16/2021] [Indexed: 01/06/2023]
Abstract
PURPOSE Our study examined whether common variants of obesity-associated genes FTO, MC4R, BDNF, and CREB1 moderated the effects of a lifestyle intervention on weight change among breast cancer survivors. METHODS 151 breast cancer survivors with a body mass index ≥ 25 kg/m2 were randomly assigned to a 6-month weight loss intervention or usual care group. Genotyping of FTO rs9939609, MC4R rs6567160, BDNF rs11030104, CREB1 rs17203016 was performed. Linear mixed models were used including the main effects of genotype (assuming a dominant genetic model), treatment arm on weight and percent body fat changes, and genotype by treatment interaction variable. All statistical tests were evaluated against a Bonferroni-corrected alpha of 0.0125. RESULTS Women in the intervention group achieved significantly greater weight loss than the usual care group (5.9% vs 0.4%, p < 0.001), regardless of genotype. Changes in weight and percent body fat did not differ significantly between carriers of the FTO rs9939609, MC4R rs6567160, BDNF rs11030104, and CREB1 rs17203016 risk alleles compared to non-carriers (p-interaction > 0.0125 for each single-nucleotide polymorphisms). CONCLUSIONS Women who are genetically predisposed to obesity and recently diagnosed with breast cancer may achieve significant and clinically meaningful weight loss through healthy eating and exercise. CLINICAL TRIAL REGISTRATION NCT02863887 (Date of Registration: August 11, 2016); NCT02110641 (Date of Registration: April 10, 2014).
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Gene-diet interaction of FTO-rs9939609 gene variant and hypocaloric diet on glycemic control in overweight and obese adults: a systematic review and meta-analysis of clinical trials. Chin Med J (Engl) 2020; 133:310-317. [PMID: 31929364 PMCID: PMC7004607 DOI: 10.1097/cm9.0000000000000617] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND The hypocaloric diets improve glycemic status in obese individuals, but the response to hypocaloric diets in fat mass and obesity-associated gene (FTO)-rs9939609 gene variant is unknown. This systematic review and meta-analysis aimed to assess the gene-diet interaction of FTO-rs9939609 gene variant and hypocaloric diets on glycemic control in overweight and obese adults. METHODS Cochrane Central Register of Controlled Trials, PubMed, ISI Web of Science, Embase, Scopus, and Google scholar were searched up to December 2018, for relevant clinical trials. Mean changes in fasting blood sugar (FBS), serum insulin, and homeostasis model assessment of insulin resistance (HOMA-IR) were extracted. RESULTS The pooled analysis of nine studies showed that there was no significant difference between AA/AT and TT genotypes in FBS (weighted mean difference [WMD] = 0.01, 95% confidence interval [CI]: -1.08, 1.10, P = 0.984) and serum insulin (WMD = 0.20, 95% CI: -0.85, 1.26; P = 0.707) after intervention hypocaloric diets. The overweight/obese participants in AA/AT group showed the greatest reduction in HOMA-IR compared with TT genotype following intervention, and this difference was not statistically significant (WMD = -0.38, 95% CI: -0.94, 0.16, P = 0.167). CONCLUSION This meta-analysis suggests that there was no significant difference between AA/AT and TT genotypes of FTO-rs9939609 on FBS, serum insulin level, and insulin resistance in response to hypocaloric diets.
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Naureen Z, Miggiano GAD, Aquilanti B, Velluti V, Matera G, Gagliardi L, Zulian A, Romanelli R, Bertelli M. Genetic test for the prescription of diets in support of physical activity. ACTA BIO-MEDICA : ATENEI PARMENSIS 2020; 91:e2020011. [PMID: 33170161 PMCID: PMC8023120 DOI: 10.23750/abm.v91i13-s.10584] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Subscribe] [Scholar Register] [Received: 09/03/2020] [Accepted: 09/17/2020] [Indexed: 01/03/2023]
Abstract
Owing to the fields of nutrigenetics and nutrigenomics today we can think of devising approaches to optimize health, delay onset of diseases and reduce its severity according to our genetic blue print. However this requires a deep understanding of nutritional impact on expression of genes that may result in a specific phenotype. The extensive research and observational studies during last two decades reporting interactions between genes, diet and physical activity suggest a cross talk between various genetic and environmental factors and lifestyle interventions. Although considerable efforts have been made in unraveling the mechanisms of gene-diet interactions the scientific evidences behind developing commercial genetic tests for providing personalized nutrition recommendations are still scarce. In this scenario the current mini-review aims to provide useful insights into salient feature of nutrition based genetic research and its commercial application and the ethical issue and concerns related to its outcome.
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Affiliation(s)
- Zakira Naureen
- Department of Biological Sciences and Chemistry, College of Arts and Sciences, University of Nizwa, Nizwa, Oman.
| | | | - Barbara Aquilanti
- UOC Nutrizione Clinica, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy.
| | - Valeria Velluti
- UOC Nutrizione Clinica, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy.
| | - Giuseppina Matera
- UOC Nutrizione Clinica, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy.
| | - Lucilla Gagliardi
- UOC Nutrizione Clinica, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy.
| | | | | | - Matteo Bertelli
- MAGI'S LAB, Rovereto (TN), Italy; MAGI EUREGIO, Bolzano, Italy; EBTNA-LAB, Rovereto (TN), Italy.
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Bayer S, Winkler V, Hauner H, Holzapfel C. Associations between Genotype-Diet Interactions and Weight Loss-A Systematic Review. Nutrients 2020; 12:E2891. [PMID: 32971836 PMCID: PMC7551578 DOI: 10.3390/nu12092891] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2020] [Revised: 09/17/2020] [Accepted: 09/18/2020] [Indexed: 02/07/2023] Open
Abstract
Studies on the interactions between single nucleotide polymorphisms (SNPs) and macronutrient consumption on weight loss are rare and heterogeneous. This review aimed to conduct a systematic literature search to investigate genotype-diet interactions on weight loss. Four databases were searched with keywords on genetics, nutrition, and weight loss (PROSPERO: CRD42019139571). Articles in languages other than English and trials investigating special groups (e.g., pregnant women, people with severe diseases) were excluded. In total, 20,542 articles were identified, and, after removal of duplicates and further screening steps, 27 articles were included. Eligible articles were based on eight trials with 91 SNPs in 63 genetic loci. All articles examined the interaction between genotype and macronutrients (carbohydrates, fat, protein) on the extent of weight loss. However, in most cases, the interaction results were not significant and represented single findings that lack replication. The publications most frequently analyzed genotype-fat intake interaction on weight loss. Since the majority of interactions were not significant and not replicated, a final evaluation of the genotype-diet interactions on weight loss was not possible. In conclusion, no evidence was found that genotype-diet interaction is a main determinant of obesity treatment success, but this needs to be addressed in future studies.
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Affiliation(s)
- Sandra Bayer
- Institute for Nutritional Medicine, University Hospital Klinikum rechts der Isar, School of Medicine, Technical University of Munich, 80992 Munich, Germany; (S.B.); (V.W.); (H.H.)
| | - Vincent Winkler
- Institute for Nutritional Medicine, University Hospital Klinikum rechts der Isar, School of Medicine, Technical University of Munich, 80992 Munich, Germany; (S.B.); (V.W.); (H.H.)
| | - Hans Hauner
- Institute for Nutritional Medicine, University Hospital Klinikum rechts der Isar, School of Medicine, Technical University of Munich, 80992 Munich, Germany; (S.B.); (V.W.); (H.H.)
- Else Kröner-Fresenius-Center for Nutritional Medicine, School of Life Sciences, Technical University of Munich, 85354 Freising, Germany
| | - Christina Holzapfel
- Institute for Nutritional Medicine, University Hospital Klinikum rechts der Isar, School of Medicine, Technical University of Munich, 80992 Munich, Germany; (S.B.); (V.W.); (H.H.)
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Tan PY, Mitra SR. The Combined Effect of Polygenic Risk from FTO and ADRB2 Gene Variants, Odds of Obesity, and Post-Hipcref Diet Differences. Lifestyle Genom 2020; 13:84-98. [PMID: 32101872 DOI: 10.1159/000505662] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2019] [Accepted: 12/30/2019] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND Computing polygenic risk scores (PRS) to predict the degree of risk for obesity may contribute to weight management programs strategically. OBJECTIVES To investigate the combined effect of FTO rs9930501, rs9930506, and rs9932754 and ADRB2 rs1042713 and rs1042714 using PRS on (1) the odds of obesity and (2) post-intervention differences in dietary, anthropometric, and cardiometabolic parameters in response to high-protein calorie-restricted, high-vitamin E, high-fiber (Hipcref) diet intervention in Malaysian adults. METHODS Both a cross-sectional study (n = 178) and a randomized controlled trial (RCT) (n = 128) were conducted to test the aforementioned objectives. PRS was computed as the weighted sum of the risk alleles possessed by each individual participant. Participants were stratified into first (PRS 0-0.64), second (PRS 0.65-3.59), and third (PRS 3.60-8.18) tertiles. RESULTS The third tertile of PRS was associated with significantly higher odds of obesity: 2.29 (95% CI = 1.11-4.72, adjusted p = 0.025) compared to the first tertile. Indians (3.9 ± 0.3) had significantly higher PRS compared to Chinese (2.1 ± 0.4) (p = 0.010). In the RCT, a greater reduction in high-sensitivity C-reactive protein (hsCRP) levels was found in second and third tertiles after Hipcref diet intervention compared to the control diet (p interaction = 0.048). CONCLUSION Higher PRS was significantly associated with increased odds of obesity. Individuals with higher PRS had a significantly greater reduction in hsCRP levels after Hipcref diet compared to the control diet.
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Affiliation(s)
- Pui Yee Tan
- School of Biosciences, Faculty of Science and Engineering, University of Nottingham Malaysia, Semenyih, Malaysia
| | - Soma Roy Mitra
- School of Biosciences, Faculty of Science and Engineering, University of Nottingham Malaysia, Semenyih, Malaysia,
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Crovesy L, Rosado EL. Interaction between genes involved in energy intake regulation and diet in obesity. Nutrition 2019; 67-68:110547. [DOI: 10.1016/j.nut.2019.06.027] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2019] [Revised: 06/20/2019] [Accepted: 06/26/2019] [Indexed: 01/01/2023]
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Tan P, Mitra S, Amini F. Lifestyle Interventions for Weight Control Modified by Genetic Variation: A Review of the Evidence. Public Health Genomics 2019; 21:169-185. [DOI: 10.1159/000499854] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2018] [Accepted: 03/23/2019] [Indexed: 11/19/2022] Open
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Merritt DC, Jamnik J, El-Sohemy A. FTO genotype, dietary protein intake, and body weight in a multiethnic population of young adults: a cross-sectional study. GENES & NUTRITION 2018; 13:4. [PMID: 29484031 PMCID: PMC5819260 DOI: 10.1186/s12263-018-0593-7] [Citation(s) in RCA: 36] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/27/2017] [Accepted: 02/01/2018] [Indexed: 12/20/2022]
Abstract
BACKGROUND Variation in the fat mass and obesity-associated gene (FTO) has been associated with susceptibility to obesity, but the association appears to be modified by diet. We investigated whether dietary protein intake modifies the association between FTO variant rs1558902 and body mass index (BMI) and waist circumference in young adults (n = 1491) from the cross-sectional Toronto Nutrigenomics and Health Study. RESULTS Lifestyle, genetic, anthropometric, and biochemical data were collected and diet was assessed using a Toronto-modified Willett Food Frequency Questionnaire. General linear models stratified by ethnicity and adjusted for age, sex, and total energy intake were used to examine the association between FTO genotypes and measures of body weight, and whether protein intake modified any of the associations. East Asians who were homozygous for the rs1558902 risk allele (A) had a greater BMI (p = 0.004) and waist circumference (p = 0.03) than T allele carriers. This association was not observed in individuals of Caucasian or South Asian ancestry. Among East Asians, a significant FTO-protein interaction was observed for BMI (p = 0.01) and waist circumference (p = 0.007). Those with low protein intake (≤ 18% total energy intake) who were homozygous for the rs1558902 risk allele (A) had significantly higher BMI (p < 0.0001) and waist circumference (p = 0.0006) compared to carriers of the T allele. These associations were absent in the high protein intake group (> 18% total energy intake). Compared to Caucasians and South Asians, East Asians consumed a significantly higher ratio of animal-to-plant protein (p < 0.05). CONCLUSIONS These findings suggest that high dietary protein intake may protect against the effects of risk variants in the FTO gene on BMI and waist circumference.
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Affiliation(s)
- David C. Merritt
- Department of Nutritional Sciences, University of Toronto, 150 College Street, Room 350, Toronto, Ontario M5S 3E2 Canada
| | - Joseph Jamnik
- Department of Nutritional Sciences, University of Toronto, 150 College Street, Room 350, Toronto, Ontario M5S 3E2 Canada
| | - Ahmed El-Sohemy
- Department of Nutritional Sciences, University of Toronto, 150 College Street, Room 350, Toronto, Ontario M5S 3E2 Canada
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The importance of gene-environment interactions in human obesity. Clin Sci (Lond) 2017; 130:1571-97. [PMID: 27503943 DOI: 10.1042/cs20160221] [Citation(s) in RCA: 108] [Impact Index Per Article: 15.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2016] [Accepted: 05/23/2016] [Indexed: 12/16/2022]
Abstract
The worldwide obesity epidemic has been mainly attributed to lifestyle changes. However, who becomes obese in an obesity-prone environment is largely determined by genetic factors. In the last 20 years, important progress has been made in the elucidation of the genetic architecture of obesity. In parallel with successful gene identifications, the number of gene-environment interaction (GEI) studies has grown rapidly. This paper reviews the growing body of evidence supporting gene-environment interactions in the field of obesity. Heritability, monogenic and polygenic obesity studies provide converging evidence that obesity-predisposing genes interact with a variety of environmental, lifestyle and treatment exposures. However, some skepticism remains regarding the validity of these studies based on several issues, which include statistical modelling, confounding, low replication rate, underpowered analyses, biological assumptions and measurement precision. What follows in this review includes (1) an introduction to the study of GEI, (2) the evidence of GEI in the field of obesity, (3) an outline of the biological mechanisms that may explain these interaction effects, (4) methodological challenges associated with GEI studies and potential solutions, and (5) future directions of GEI research. Thus far, this growing body of evidence has provided a deeper understanding of GEI influencing obesity and may have tremendous applications in the emerging field of personalized medicine and individualized lifestyle recommendations.
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Livingstone KM, Celis-Morales C, Papandonatos GD, Erar B, Florez JC, Jablonski KA, Razquin C, Marti A, Heianza Y, Huang T, Sacks FM, Svendstrup M, Sui X, Church TS, Jääskeläinen T, Lindström J, Tuomilehto J, Uusitupa M, Rankinen T, Saris WHM, Hansen T, Pedersen O, Astrup A, Sørensen TIA, Qi L, Bray GA, Martinez-Gonzalez MA, Martinez JA, Franks PW, McCaffery JM, Lara J, Mathers JC. FTO genotype and weight loss: systematic review and meta-analysis of 9563 individual participant data from eight randomised controlled trials. BMJ 2016; 354:i4707. [PMID: 27650503 PMCID: PMC6168036 DOI: 10.1136/bmj.i4707] [Citation(s) in RCA: 72] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
OBJECTIVE To assess the effect of the FTO genotype on weight loss after dietary, physical activity, or drug based interventions in randomised controlled trials. DESIGN Systematic review and random effects meta-analysis of individual participant data from randomised controlled trials. DATA SOURCES Ovid Medline, Scopus, Embase, and Cochrane from inception to November 2015. ELIGIBILITY CRITERIA FOR STUDY SELECTION Randomised controlled trials in overweight or obese adults reporting reduction in body mass index, body weight, or waist circumference by FTO genotype (rs9939609 or a proxy) after dietary, physical activity, or drug based interventions. Gene by treatment interaction models were fitted to individual participant data from all studies included in this review, using allele dose coding for genetic effects and a common set of covariates. Study level interactions were combined using random effect models. Metaregression and subgroup analysis were used to assess sources of study heterogeneity. RESULTS We identified eight eligible randomised controlled trials for the systematic review and meta-analysis (n=9563). Overall, differential changes in body mass index, body weight, and waist circumference in response to weight loss intervention were not significantly different between FTO genotypes. Sensitivity analyses indicated that differential changes in body mass index, body weight, and waist circumference by FTO genotype did not differ by intervention type, intervention length, ethnicity, sample size, sex, and baseline body mass index and age category. CONCLUSIONS We have observed that carriage of the FTO minor allele was not associated with differential change in adiposity after weight loss interventions. These findings show that individuals carrying the minor allele respond equally well to dietary, physical activity, or drug based weight loss interventions and thus genetic predisposition to obesity associated with the FTO minor allele can be at least partly counteracted through such interventions. SYSTEMATIC REVIEW REGISTRATION PROSPERO CRD42015015969.
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Affiliation(s)
- Katherine M Livingstone
- Human Nutrition Research Centre, Institute of Cellular Medicine, Newcastle University, Newcastle upon Tyne NE4 5PL, UK Deakin University, Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Victoria, Australia
| | - Carlos Celis-Morales
- Human Nutrition Research Centre, Institute of Cellular Medicine, Newcastle University, Newcastle upon Tyne NE4 5PL, UK BHF Glasgow Cardiovascular Research Centre, Institute of Cardiovascular and Medical Science, University of Glasgow, Glasgow, UK
| | - George D Papandonatos
- Department of Biostatistics, Brown University School of Public Health, Providence, RI, USA
| | - Bahar Erar
- Department of Biostatistics, Brown University School of Public Health, Providence, RI, USA
| | - Jose C Florez
- Diabetes Unit and Center for Human Genetic Research, Massachusetts General Hospital, Boston, MA, USA Programs in Metabolism and Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Kathleen A Jablonski
- George Washington University Department of Epidemiology and Biostatistics The Biostatistics Center, Rockville, MD, USA
| | - Cristina Razquin
- Department of Preventive Medicine and Public Health, University of Navarra, Pamplona, Spain CIBER Fisiopatologia de la Obesidad y Nutricion and PREDIMED Network from Instituto de Salud Carlos III Spanish Government, Spain
| | - Amelia Marti
- CIBER Fisiopatologia de la Obesidad y Nutricion and PREDIMED Network from Instituto de Salud Carlos III Spanish Government, Spain Department of Nutrition, Food Science and Physiology, University of Navarra, Pamplona, Spain
| | - Yoriko Heianza
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA
| | - Tao Huang
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA Epidemiology Domain, Saw Swee Hock School of Public Health, National University of Singapore, Singapore
| | - Frank M Sacks
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Mathilde Svendstrup
- Novo Nordisk Foundation Centre for Basic Metabolic Research, Section on Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark Danish Diabetes Academy, Odense, Denmark
| | - Xuemei Sui
- Department of Exercise Science, University of South Carolina, Columbia, SC, USA
| | - Timothy S Church
- Pennington Biomedical Research Center, Louisiana State University System, Baton Rouge, LA, USA
| | - Tiina Jääskeläinen
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland Department of Medical and Clinical Genetics, University of Helsinki, Finland
| | - Jaana Lindström
- Department of Chronic Disease Prevention, National Institute for Health and Welfare, Helsinki, Finland
| | - Jaakko Tuomilehto
- Dasman Diabetes Institute, Dasman, Kuwait City, Kuwait Diabetes Research Group, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Matti Uusitupa
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland
| | - Tuomo Rankinen
- Human Genomics Laboratory, Pennington Biomedical Research Center, Baton Rouge, LA, USA
| | - Wim H M Saris
- Department of Human Biology, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Centre +, Maastricht, Netherlands
| | - Torben Hansen
- Novo Nordisk Foundation Centre for Basic Metabolic Research, Section on Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Oluf Pedersen
- Novo Nordisk Foundation Centre for Basic Metabolic Research, Section on Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Arne Astrup
- Department of Nutrition, Exercise and Sports, Copenhagen University, Rolighedsvej 30, Frederiksberg C, Denmark
| | - Thorkild I A Sørensen
- Novo Nordisk Foundation Centre for Basic Metabolic Research, Section on Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark Institute of Preventive Medicine, Bispebjerg and Frederiksberg Hospitals, The Capital Region, Denmark
| | - Lu Qi
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - George A Bray
- Pennington Biomedical Research Center, Louisiana State University System, Baton Rouge, LA, USA
| | - Miguel A Martinez-Gonzalez
- CIBER Fisiopatologia de la Obesidad y Nutricion and PREDIMED Network from Instituto de Salud Carlos III Spanish Government, Spain Department of Nutrition, Food Science and Physiology, University of Navarra, Pamplona, Spain
| | - J Alfredo Martinez
- CIBER Fisiopatologia de la Obesidad y Nutricion and PREDIMED Network from Instituto de Salud Carlos III Spanish Government, Spain Department of Nutrition, Food Science and Physiology, University of Navarra, Pamplona, Spain Food Science and Physiology, Centre for Nutrition Research, University of Navarra, Pamplona, Spain
| | - Paul W Franks
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA Department of Clinical Sciences, Genetic and Molecular Epidemiology Unit, Lund University, Skåne University Hospital Malmö, Malmö, Sweden
| | - Jeanne M McCaffery
- The Miriam Hospital and the Alpert School of Medicine, Brown University, Providence, USA
| | - Jose Lara
- Human Nutrition Research Centre, Institute of Cellular Medicine, Newcastle University, Newcastle upon Tyne NE4 5PL, UK Department of Applied Sciences, Faculty of Health and Life Sciences, Northumbria University, Newcastle upon Tyne, UK
| | - John C Mathers
- Human Nutrition Research Centre, Institute of Cellular Medicine, Newcastle University, Newcastle upon Tyne NE4 5PL, UK
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Solas M, Milagro FI, Martínez-Urbistondo D, Ramirez MJ, Martínez JA. Precision Obesity Treatments Including Pharmacogenetic and Nutrigenetic Approaches. Trends Pharmacol Sci 2016; 37:575-593. [DOI: 10.1016/j.tips.2016.04.008] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2015] [Revised: 04/19/2016] [Accepted: 04/27/2016] [Indexed: 01/04/2023]
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Xiang L, Wu H, Pan A, Patel B, Xiang G, Qi L, Kaplan RC, Hu F, Wylie-Rosett J, Qi Q. FTO genotype and weight loss in diet and lifestyle interventions: a systematic review and meta-analysis. Am J Clin Nutr 2016; 103:1162-70. [PMID: 26888713 PMCID: PMC4807705 DOI: 10.3945/ajcn.115.123448] [Citation(s) in RCA: 70] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2015] [Accepted: 01/20/2016] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND Studies have suggested that the fat mass and obesity-associated (FTO) genotype is associated with individual variability in weight loss in response to diet/lifestyle interventions, but results are inconsistent. OBJECTIVE We aimed to provide a summary of the literature evaluating the relation between the FTO genotype and weight loss in response to diet/lifestyle interventions. DESIGN A search of English-language articles in the PubMed and Embase databases (through 30 April 2015) was performed. Eligible studies were diet/lifestyle weight-loss intervention studies conducted in adults that reported changes in body weight or body mass index (BMI) by the FTO variant rs9939609 (or its proxy). Differences in weight loss between FTO genotypes across studies were pooled with the use of fixed-effect models. RESULTS A meta-analysis of 10 studies (comprising 6951 participants) that reported the results of additive genetic models showed that individuals with the FTO TA genotype and AA genotype (those with the obesity-predisposing A allele) had 0.18-kg (95% CI: -0.09-, 0.45-kg;P= 0.19; NS) and 0.44-kg (95% CI: 0.09-, 0.79-kg;P= 0.015) greater weight loss, respectively, than those with the TT genotype. A meta-analysis of 14 studies (comprising 7700 participants) that reported the results of dominant genetic models indicated a 0.20-kg (-0.43-, 0.04-kg) greater weight loss in the TA/AA genotype than in the TT genotype (P= 0.10). In addition, differences in weight loss between the AA genotype and TT genotype were significant in studies with a diet intervention only, adjustment for baseline BMI or body weight, and several other subgroups. However, the relatively small number of studies limited these stratified analyses, and there was no statistically significant difference between subgroups. CONCLUSIONS This meta-analysis suggests that individuals carrying the homozygous FTO obesity-predisposing allele may lose more weight through diet/lifestyle interventions than noncarriers. Our data provide evidence for genetic variability in response to diet/lifestyle interventions on weight loss, although clinical applications of these findings need further investigations.
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Affiliation(s)
- Lingwei Xiang
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY
| | - Hongyu Wu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
| | - An Pan
- School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Bhakti Patel
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY
| | - Guangda Xiang
- Department of Endocrinology, Wuhan General Hospital of Guangzhou Command, Wuhan, China; and
| | - Lu Qi
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Robert C Kaplan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY
| | - Frank Hu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Judith Wylie-Rosett
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY
| | - Qibin Qi
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY;
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Fat mass- and obesity-associated genotype, dietary intakes and anthropometric measures in European adults: the Food4Me study. Br J Nutr 2015; 115:440-8. [PMID: 26620191 DOI: 10.1017/s0007114515004675] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
The interplay between the fat mass- and obesity-associated (FTO) gene variants and diet has been implicated in the development of obesity. The aim of the present analysis was to investigate associations between FTO genotype, dietary intakes and anthropometrics among European adults. Participants in the Food4Me randomised controlled trial were genotyped for FTO genotype (rs9939609) and their dietary intakes, and diet quality scores (Healthy Eating Index and PREDIMED-based Mediterranean diet score) were estimated from FFQ. Relationships between FTO genotype, diet and anthropometrics (weight, waist circumference (WC) and BMI) were evaluated at baseline. European adults with the FTO risk genotype had greater WC (AA v. TT: +1·4 cm; P=0·003) and BMI (+0·9 kg/m2; P=0·001) than individuals with no risk alleles. Subjects with the lowest fried food consumption and two copies of the FTO risk variant had on average 1·4 kg/m2 greater BMI (Ptrend=0·028) and 3·1 cm greater WC (Ptrend=0·045) compared with individuals with no copies of the risk allele and with the lowest fried food consumption. However, there was no evidence of interactions between FTO genotype and dietary intakes on BMI and WC, and thus further research is required to confirm or refute these findings.
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de Luis DA, Aller R, Izaola O, Primo D, Urdiales S, Romero E. Effects of a High-Protein/Low-Carbohydrate Diet versus a Standard Hypocaloric Diet on Weight and Cardiovascular Risk Factors: Role of a Genetic Variation in the rs9939609 FTO Gene Variant. JOURNAL OF NUTRIGENETICS AND NUTRIGENOMICS 2015; 8:128-36. [PMID: 26457804 DOI: 10.1159/000441142] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/27/2015] [Accepted: 09/17/2015] [Indexed: 11/19/2022]
Abstract
BACKGROUND AND AIMS The common polymorphism rs9939609 of the fat mass- and obesity-associated gene (FTO) has been linked to obesity. Our aim was to investigate its role in weight loss after the administration of a high-protein/low-carbohydrate diet compared to a standard hypocaloric diet (1,000 kcal/day). METHODS During 9 months, 195 patients were randomly allocated to a high-protein hypocaloric diet (HP diet) and a standard hypocaloric diet (S diet). RESULTS With the HP diet, BMI (-1.9 ± 1.2 vs. -2.10 ± 1.8; p < 0.05), weight (-6.5 ± 2.1 vs. -10.1 ± 4.1 kg; p < 0.05), fat mass (-3.9 ± 3.2 vs. -6.0 ± 3.4 kg; p < 0.05) and waist circumference (-5.7 ± 5.0 vs. -9.9 ± 5.5 cm; p < 0.05) decreased in both genotype groups (TT vs. AT + AA). With the S diet, BMI (-0.9 ± 1.1 vs. -1.8 ± 1.2; p < 0.05), weight (-3.2 ± 3.0 vs. -9.1 ± 3.6 kg; p < 0.05), fat mass (-3.0 ± 3.1 vs. -5.2 ± 3.1 kg; p < 0.05) and waist circumference (-3.1 ± 4.0 vs. -8.1 ± 4.9 cm; p < 0.05) decreased in both genotype groups. With the HP diet and in both genotype groups, glucose, insulin levels, homeostasis model assessment of insulin resistance (HOMA-IR), total cholesterol, triglycerides and low-density lipoprotein (LDL) decreased. With the S diet, total cholesterol and LDL decreased. CONCLUSION Weight loss was better in A allele carriers than noncarriers, and metabolic improvement was better with the HP diet.
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Affiliation(s)
- Daniel Antonio de Luis
- Center of Investigation of Endocrinology and Nutrition, Medicine School and Department of Endocrinology and Nutrition, Hospital Clx00ED;nico Universitario, University of Valladolid, Valladolid, Spain
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Li K, Huang T, Li D. Gene–Diet Interaction on Body Weight Maintenance. Curr Nutr Rep 2015. [DOI: 10.1007/s13668-015-0133-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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Zheng Y, Huang T, Zhang X, Rood J, Bray GA, Sacks FM, Qi L. Dietary Fat Modifies the Effects of FTO Genotype on Changes in Insulin Sensitivity. J Nutr 2015; 145:977-82. [PMID: 25761503 PMCID: PMC4408741 DOI: 10.3945/jn.115.210005] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2015] [Accepted: 02/20/2015] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND The common variants in the fat mass and obesity-associated (FTO) gene have been associated with obesity and insulin resistance. Recently, studies also linked FTO variants with macronutrient intakes. OBJECTIVE We aimed to investigate whether diet interventions varying in macronutrients modified the effects of FTO genotypes on changes in insulin resistance. METHODS We genotyped FTO variants rs1558902 and rs9939609 and measured insulin resistance in fasting plasma samples at baseline and at 6-mo and 2-y visits in 743 overweight or obese adults (aged 30-70 y, 60% women) from a randomized weight-loss dietary interventional trial, the Preventing Overweight Using Novel Dietary Strategies (POUNDS LOST) trial. We assessed interactions between FTO variants and intakes of dietary fat and protein in relation to change in body weight and insulin resistance using generalized estimating equation models. RESULTS We found significant interactions between rs1558902 and dietary fat on changes in homeostasis model assessment of insulin resistance (HOMA-IR) and insulin (P = 0.003 and 0.004, respectively). Each risk allele (A) of rs1558902 showed a trend to be related to a 0.05-unit less reduction in both log(insulin) and log(HOMA-IR) among the participants assigned to low-fat diets (both P = 0.06), but this was not significantly related to reduction in those assigned to high-fat diets (both P > 0.1) during the 2-y period of intervention. Our data showed that the association between rs9939609 and changes in insulin resistance was not modified by diet macronutrient intakes. CONCLUSIONS Our results show that carriers of the risk alleles of rs1558902 benefit differently in improving insulin sensitivity by consuming high-fat weight-loss diets rather than low-fat diets. Still, given our data, we acknowledge it is difficult to determine whether fat or carbohydrate contributed to the observed associations.
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Affiliation(s)
- Yan Zheng
- Department of Nutrition, Harvard School of Public Health, Boston, MA
| | - Tao Huang
- Department of Nutrition, Harvard School of Public Health, Boston, MA
| | - Xiaomin Zhang
- Department of Occupational and Environmental Health and,Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jennifer Rood
- Pennington Biomedical Research Center of the Louisiana State University System, Baton Rouge, LA; and
| | - George A Bray
- Pennington Biomedical Research Center of the Louisiana State University System, Baton Rouge, LA; and
| | - Frank M Sacks
- Department of Nutrition, Harvard School of Public Health, Boston, MA
| | - Lu Qi
- Department of Nutrition, Harvard School of Public Health, Boston, MA; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
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Goni L, Cuervo M, Milagro FI, Martínez JA. Future Perspectives of Personalized Weight Loss Interventions Based on Nutrigenetic, Epigenetic, and Metagenomic Data. J Nutr 2015; 146:905S-912S. [PMID: 26962191 DOI: 10.3945/jn.115.218354] [Citation(s) in RCA: 47] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2015] [Revised: 08/21/2015] [Accepted: 09/23/2015] [Indexed: 12/24/2022] Open
Abstract
As obesity has become a major global public health challenge, a large number of studies have analyzed different strategies aimed at inducing a negative energy balance and, consequently, body weight loss. However, most existing weight loss programs are generally unsuccessful, so several interventions have been carried out to identify physiologic and behavioral factors concerning this variability in order to implement more personalized treatment. Nowadays, an individualized approach is being proposed through so-called personalized nutrition, whereby not only the phenotype but also the genotype is used for customized nutrition treatment. Regarding body weight regulation, ∼70 polymorphisms have been identified in or near genes related to energy expenditure, appetite, adipogenesis, insulin resistance, and lipid metabolism. Although personalized nutrition refers mainly to genetic makeup, recent advances in the investigation of the epigenome and the microbiome open the door to implement more personalized recommendations for body weight management. In this context, recent studies have demonstrated the existence of several epigenetic markers that may modify gene expression and could be involved in the outcome of weight loss interventions. Moreover, different studies have shown that dietary interventions could affect the composition of gut microbiota and have an impact on body weight. The integration of nutrigenetic, epigenetic, and metagenomic data may lead to the design of more personalized dietary treatments to prevent chronic diseases and to optimize the individual's response to dietary interventions.
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Affiliation(s)
- Leticia Goni
- Department of Nutrition, Food Sciences, and Physiology, University of Navarra, Pamplona, Spain.,Centre for Nutrition Research, University of Navarra, Pamplona, Spain
| | - Marta Cuervo
- Department of Nutrition, Food Sciences, and Physiology, University of Navarra, Pamplona, Spain.,Centre for Nutrition Research, University of Navarra, Pamplona, Spain.,Biomedical Research Centre Network in Physiopathology of Obesity and Nutrition (CIBERobn), Institute of Health Carlos III, Madrid, Spain.,Navarra Institute for Health Research, Pamplona, Spain
| | - Fermín I Milagro
- Department of Nutrition, Food Sciences, and Physiology, University of Navarra, Pamplona, Spain.,Centre for Nutrition Research, University of Navarra, Pamplona, Spain.,Biomedical Research Centre Network in Physiopathology of Obesity and Nutrition (CIBERobn), Institute of Health Carlos III, Madrid, Spain
| | - J Alfredo Martínez
- Department of Nutrition, Food Sciences, and Physiology, University of Navarra, Pamplona, Spain.,Centre for Nutrition Research, University of Navarra, Pamplona, Spain.,Biomedical Research Centre Network in Physiopathology of Obesity and Nutrition (CIBERobn), Institute of Health Carlos III, Madrid, Spain.,Navarra Institute for Health Research, Pamplona, Spain
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Qi Q, Kilpeläinen TO, Downer MK, Tanaka T, Smith CE, Sluijs I, Sonestedt E, Chu AY, Renström F, Lin X, Ängquist LH, Huang J, Liu Z, Li Y, Asif Ali M, Xu M, Ahluwalia TS, Boer JMA, Chen P, Daimon M, Eriksson J, Perola M, Friedlander Y, Gao YT, Heppe DHM, Holloway JW, Houston DK, Kanoni S, Kim YM, Laaksonen MA, Jääskeläinen T, Lee NR, Lehtimäki T, Lemaitre RN, Lu W, Luben RN, Manichaikul A, Männistö S, Marques-Vidal P, Monda KL, Ngwa JS, Perusse L, van Rooij FJA, Xiang YB, Wen W, Wojczynski MK, Zhu J, Borecki IB, Bouchard C, Cai Q, Cooper C, Dedoussis GV, Deloukas P, Ferrucci L, Forouhi NG, Hansen T, Christiansen L, Hofman A, Johansson I, Jørgensen T, Karasawa S, Khaw KT, Kim MK, Kristiansson K, Li H, Lin X, Liu Y, Lohman KK, Long J, Mikkilä V, Mozaffarian D, North K, Pedersen O, Raitakari O, Rissanen H, Tuomilehto J, van der Schouw YT, Uitterlinden AG, Zillikens MC, Franco OH, Shyong Tai E, Ou Shu X, Siscovick DS, Toft U, Verschuren WMM, Vollenweider P, Wareham NJ, Witteman JCM, Zheng W, Ridker PM, Kang JH, Liang L, Jensen MK, Curhan GC, Pasquale LR, Hunter DJ, Mohlke KL, Uusitupa M, Cupples LA, Rankinen T, Orho-Melander M, Wang T, Chasman DI, Franks PW, Sørensen TIA, Hu FB, Loos RJF, Nettleton JA, Qi L. FTO genetic variants, dietary intake and body mass index: insights from 177,330 individuals. Hum Mol Genet 2014; 23:6961-72. [PMID: 25104851 DOI: 10.1093/hmg/ddu411] [Citation(s) in RCA: 121] [Impact Index Per Article: 12.1] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023] Open
Abstract
FTO is the strongest known genetic susceptibility locus for obesity. Experimental studies in animals suggest the potential roles of FTO in regulating food intake. The interactive relation among FTO variants, dietary intake and body mass index (BMI) is complex and results from previous often small-scale studies in humans are highly inconsistent. We performed large-scale analyses based on data from 177,330 adults (154 439 Whites, 5776 African Americans and 17 115 Asians) from 40 studies to examine: (i) the association between the FTO-rs9939609 variant (or a proxy single-nucleotide polymorphism) and total energy and macronutrient intake and (ii) the interaction between the FTO variant and dietary intake on BMI. The minor allele (A-allele) of the FTO-rs9939609 variant was associated with higher BMI in Whites (effect per allele = 0.34 [0.31, 0.37] kg/m(2), P = 1.9 × 10(-105)), and all participants (0.30 [0.30, 0.35] kg/m(2), P = 3.6 × 10(-107)). The BMI-increasing allele of the FTO variant showed a significant association with higher dietary protein intake (effect per allele = 0.08 [0.06, 0.10] %, P = 2.4 × 10(-16)), and relative weak associations with lower total energy intake (-6.4 [-10.1, -2.6] kcal/day, P = 0.001) and lower dietary carbohydrate intake (-0.07 [-0.11, -0.02] %, P = 0.004). The associations with protein (P = 7.5 × 10(-9)) and total energy (P = 0.002) were attenuated but remained significant after adjustment for BMI. We did not find significant interactions between the FTO variant and dietary intake of total energy, protein, carbohydrate or fat on BMI. Our findings suggest a positive association between the BMI-increasing allele of FTO variant and higher dietary protein intake and offer insight into potential link between FTO, dietary protein intake and adiposity.
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Affiliation(s)
- Qibin Qi
- Department of Epidemiology, Albert Einstein College of Medicine, Bronx, NY, USA Department of Nutrition and
| | - Tuomas O Kilpeläinen
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, UK The Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences and
| | | | - Toshiko Tanaka
- Translational Gerontology Branch, National Institute on Aging, Baltimore, MD, USA
| | - Caren E Smith
- Nutrition and Genomics Laboratory, Jean Mayer USDA HNRCA at Tufts University, Boston, MA, USA
| | - Ivonne Sluijs
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Emily Sonestedt
- Genetic and Molecular Epidemiology Unit, Department of Clinical Sciences, Lund University, Malmö, Sweden
| | | | - Frida Renström
- Genetic and Molecular Epidemiology Unit, Department of Clinical Sciences, Lund University, Malmö, Sweden
| | - Xiaochen Lin
- Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA
| | - Lars H Ängquist
- Institute of Preventive Medicine, Bispebjerg and Frederiksberg Hospital, The Capital Region, Copenhagen, Denmark
| | - Jinyan Huang
- State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Rui Jin Hospital Affiliated with Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhonghua Liu
- Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA
| | | | | | - Min Xu
- Department of Nutrition and
| | - Tarunveer Singh Ahluwalia
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences and Copenhagen Prospective Studies on Asthma in Childhood, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark Danish Pediatric Asthma Center, Gentofte Hospital, The Capital Region, Copenhagen, Denmark
| | - Jolanda M A Boer
- Centre for Nutrition, Prevention and Health Services, National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | - Peng Chen
- Saw Swee Hock School of Public Health and
| | - Makoto Daimon
- Department of Endocrinology and Metabolism, Graduate School of Medicine, Hirosaki University, Hirosaki, Aomori, Japan Department of Neurology, Hematology, Metabolism, Endocrinology and Diabetology, Yamagata University Faculty of Medicine, Yamagata, Japan
| | - Johan Eriksson
- Department of General Practice and Primary Health Care National Institute for Health and Welfare, Helsinki, Finland
| | - Markus Perola
- Institute for Molecular Medicine National Institute for Health and Welfare, Helsinki, Finland Estonian Genome Center, University of Tartu, Tartu, Estonia
| | - Yechiel Friedlander
- School of Public Health, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Yu-Tang Gao
- Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Denise H M Heppe
- The Generation R Study Group Department of Epidemiology Department of Pediatrics
| | - John W Holloway
- Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Denise K Houston
- Department of Internal Medicine, Section on Gerontology and Geriatric Medicine
| | - Stavroula Kanoni
- William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, EC1M 6BQ London, UK
| | - Yu-Mi Kim
- Department of Preventive Medicine, Dong-A University College of Medicine, Busan, Korea
| | | | - Tiina Jääskeläinen
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland
| | - Nanette R Lee
- USC Office of Population Studies Foundation, Inc., University of San Carlos, Cebu, Philippines
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Fimlab Laboratories and School of Medicine, University of Tampere, Tampere, Finland
| | | | - Wei Lu
- Shanghai Institute of Preventive Medicine, Shanghai, China
| | - Robert N Luben
- Department of Public Health and Primary Care, Institute of Public Health, University of Cambridge, Cambridge, UK
| | - Ani Manichaikul
- Center for Public Health Genomics Department of Public Health Sciences, Division of Biostatistics and Epidemiology, University of Virginia, Charlottesville, VA, USA
| | - Satu Männistö
- National Institute for Health and Welfare, Helsinki, Finland
| | - Pedro Marques-Vidal
- Institute of Social and Preventive Medicine, Bâtiment Biopôle 2, Route de la Corniche 10, CH-1010 Lausanne, Switzerland Department of Medicine, CHUV, Rue du Bugnon 21, CH-1011 Lausanne, Switzerland
| | - Keri L Monda
- Department of Epidemiology Center for Observational Research, Amgen, Inc., Thousand Oaks, CA, USA
| | - Julius S Ngwa
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Louis Perusse
- Department of Kinesiology, Laval University, Ste-Foy, QC, Canada
| | - Frank J A van Rooij
- Department of Epidemiology The Netherlands Genomics Initiative sponsored Netherlands Consortium for Healthy Aging (NGI-NCHA), Leiden, The Netherlands
| | - Yong-Bing Xiang
- Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Wanqing Wen
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Mary K Wojczynski
- Department of Genetics, Washington University School of Medicine, St. Louis, MO, USA
| | - Jingwen Zhu
- Key Laboratory of Nutrition and Metabolism, Institute for Nutritional Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences and Graduate School of the Chinese Academy of Sciences, Shanghai, China
| | - Ingrid B Borecki
- Department of Genetics, Washington University School of Medicine, St. Louis, MO, USA
| | - Claude Bouchard
- Human Genomics Laboratory, Pennington Biomedical Research Center, Baton Rouge, LA, USA
| | - Qiuyin Cai
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Cyrus Cooper
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton SO16 6YD, UK National Institute for Health Research Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton SO16 6YD, UK National Institute for Health Research Musculoskeletal Biomedical Research Unit, University of Oxford, Oxford OX3 7LE, UK
| | - George V Dedoussis
- Department of Dietetics-Nutrition, Harokopio University, 70 El. Venizelou Str, Athens, Greece
| | - Panos Deloukas
- William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, EC1M 6BQ London, UK Wellcome Trust Sanger Institute, Hinxton, Cambridge CB10 1SA, UK Princess Al-Jawhara Al-Brahim Centre of Excellence in Research of Hereditary Disorders (PACER-HD) and
| | - Luigi Ferrucci
- Translational Gerontology Branch, National Institute on Aging, Baltimore, MD, USA
| | - Nita G Forouhi
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, UK
| | - Torben Hansen
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences and
| | - Lene Christiansen
- The Danish Twin Registry, Institute of Public Health, University of Southern Denmark, Odense, Denmark
| | - Albert Hofman
- Department of Epidemiology The Netherlands Genomics Initiative sponsored Netherlands Consortium for Healthy Aging (NGI-NCHA), Leiden, The Netherlands
| | | | - Torben Jørgensen
- Research Centre for Prevention and Health, Glostrup University Hospital, Glostrup, Denmark
| | - Shigeru Karasawa
- Department of Neurology, Hematology, Metabolism, Endocrinology and Diabetology, Yamagata University Faculty of Medicine, Yamagata, Japan
| | - Kay-Tee Khaw
- Department of Public Health and Primary Care, Institute of Public Health, University of Cambridge, Cambridge, UK
| | - Mi-Kyung Kim
- Department of Preventive Medicine, HanYang University College of Medicine, Seoul, Korea
| | | | - Huaixing Li
- Key Laboratory of Nutrition and Metabolism, Institute for Nutritional Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences and Graduate School of the Chinese Academy of Sciences, Shanghai, China
| | - Xu Lin
- Key Laboratory of Nutrition and Metabolism, Institute for Nutritional Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences and Graduate School of the Chinese Academy of Sciences, Shanghai, China
| | - Yongmei Liu
- Department of Epidemiology, Division of Public Health Sciences
| | - Kurt K Lohman
- Department of Biostatistical Sciences, Division of Public Health Sciences, Wake Forest School of Medicine, Winston Salem, NC, USA
| | - Jirong Long
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Vera Mikkilä
- Department of Food and Environmental Sciences, University of Helsinki, Helsinki, Finland Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
| | - Dariush Mozaffarian
- Department of Nutrition and Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA Channing Division of Network Medicine, Department of Medicine Division of Cardiovascular Medicine Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, USA
| | - Kari North
- Department of Epidemiology Carolina Center for Genome Sciences
| | - Oluf Pedersen
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences and
| | - Olli Raitakari
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland Department of Clinical Physiology and Nuclear Medicine, University of Turku and Turku University Hospital, Turku, Finland
| | - Harri Rissanen
- National Institute for Health and Welfare, Helsinki, Finland
| | - Jaakko Tuomilehto
- National Institute for Health and Welfare, Helsinki, Finland Diabetes Research Group, King Abdulaziz University, 21589 Jeddah, Saudi Arabia Centre for Vascular Prevention, Danube-University Krems, 3500 Krems, Austria Instituto de Investigacion Sanitaria del Hospital Universario LaPaz (IdiPAZ), Madrid, Spain
| | - Yvonne T van der Schouw
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands
| | - André G Uitterlinden
- Department of Epidemiology The Netherlands Genomics Initiative sponsored Netherlands Consortium for Healthy Aging (NGI-NCHA), Leiden, The Netherlands Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | - M Carola Zillikens
- The Netherlands Genomics Initiative sponsored Netherlands Consortium for Healthy Aging (NGI-NCHA), Leiden, The Netherlands Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Oscar H Franco
- Department of Epidemiology The Netherlands Genomics Initiative sponsored Netherlands Consortium for Healthy Aging (NGI-NCHA), Leiden, The Netherlands
| | - E Shyong Tai
- Saw Swee Hock School of Public Health and Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, National University Health System, Singapore, Singapore Duke-National University of Singapore Graduate Medical School, Singapore, Singapore
| | - Xiao Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - David S Siscovick
- Cardiovascular Health Research Unit, Departments of Medicine and Epidemiology, University of Washington, Seattle, WA, USA
| | - Ulla Toft
- Research Centre for Prevention and Health, Glostrup University Hospital, Glostrup, Denmark
| | - W M Monique Verschuren
- Centre for Nutrition, Prevention and Health Services, National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | - Peter Vollenweider
- Department of Medicine, CHUV, Rue du Bugnon 21, CH-1011 Lausanne, Switzerland
| | - Nicholas J Wareham
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, UK
| | - Jacqueline C M Witteman
- Department of Epidemiology The Netherlands Genomics Initiative sponsored Netherlands Consortium for Healthy Aging (NGI-NCHA), Leiden, The Netherlands
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Paul M Ridker
- Division of Preventive Medicine Division of Cardiovascular Medicine
| | - Jae H Kang
- Channing Division of Network Medicine, Department of Medicine
| | - Liming Liang
- Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA
| | - Majken K Jensen
- Department of Nutrition and Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA
| | - Gary C Curhan
- Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA Channing Division of Network Medicine, Department of Medicine
| | - Louis R Pasquale
- Channing Division of Network Medicine, Department of Medicine Department of Ophthalmology, Mass Eye and Ear Infirmary, Harvard Medical School, Boston, MA, USA
| | - David J Hunter
- Department of Nutrition and Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA Channing Division of Network Medicine, Department of Medicine
| | - Karen L Mohlke
- Department of Genetics, University of North Carolina, Chapel Hill, NC, USA
| | - Matti Uusitupa
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland Research Unit, Kuopio University Hospital, Kuopio, Finland
| | - L Adrienne Cupples
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA The Framingham Heart Study, Framingham, MA, USA
| | - Tuomo Rankinen
- Human Genomics Laboratory, Pennington Biomedical Research Center, Baton Rouge, LA, USA
| | - Marju Orho-Melander
- Genetic and Molecular Epidemiology Unit, Department of Clinical Sciences, Lund University, Malmö, Sweden
| | - Tao Wang
- Department of Epidemiology, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Daniel I Chasman
- Division of Preventive Medicine Division of Genetics, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Paul W Franks
- Department of Nutrition and Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA Genetic and Molecular Epidemiology Unit, Department of Clinical Sciences, Lund University, Malmö, Sweden Department of Public Health and Clinical Medicine, Genetic Epidemiology and Clinical Research Group, Umeå University, Umeå, Sweden
| | - Thorkild I A Sørensen
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences and Institute of Preventive Medicine, Bispebjerg and Frederiksberg Hospital, The Capital Region, Copenhagen, Denmark
| | - Frank B Hu
- Department of Nutrition and Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA Channing Division of Network Medicine, Department of Medicine
| | - Ruth J F Loos
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, UK The Genetics of Obesity and Related Metabolic Traits Program, The Charles Bronfman Institute for Personalized Medicine, The Mindich Child Health and Development Institute, Department of Preventive Medicine, Mount Sinai School of Medicine, New York City, NY, USA and
| | - Jennifer A Nettleton
- Division of Epidemiology, Human Genetics, and Environmental Sciences, The University of Texas Health Science Center, Houston, TX, USA
| | - Lu Qi
- Department of Nutrition and Channing Division of Network Medicine, Department of Medicine
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Verhoef SP, Camps SG, Bouwman FG, Mariman EC, Westerterp KR. Genetic predisposition, dietary restraint and disinhibition in relation to short and long-term weight loss. Physiol Behav 2014; 128:247-51. [DOI: 10.1016/j.physbeh.2014.02.004] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2012] [Revised: 09/22/2013] [Accepted: 02/04/2014] [Indexed: 01/18/2023]
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Wu H, Wylie-Rosett J, Qi Q. Dietary Interventions for Weight Loss and Maintenance: Preference or Genetic Personalization? Curr Nutr Rep 2013. [DOI: 10.1007/s13668-013-0061-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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Stocks T, Ängquist L, Hager J, Charon C, Holst C, Martinez JA, Saris WH, Astrup A, Sørensen TI, Larsen LH. TFAP2B-Dietary Protein and Glycemic Index Interactions and Weight Maintenance after Weight Loss in the DiOGenes Trial. Hum Hered 2013; 75:213-9. [DOI: 10.1159/000353591] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
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Dietary Management and Genetic Predisposition. Curr Nutr Rep 2013. [DOI: 10.1007/s13668-013-0050-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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Steemburgo T, Azevedo MJ, Gross JL, Milagro FI, Campión J, Martínez JA. The rs9939609 polymorphism in the FTO gene is associated with fat and fiber intakes in patients with type 2 diabetes. JOURNAL OF NUTRIGENETICS AND NUTRIGENOMICS 2013; 6:97-106. [PMID: 23689376 DOI: 10.1159/000350741] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/23/2012] [Accepted: 03/15/2013] [Indexed: 11/19/2022]
Abstract
BACKGROUND/AIMS The common polymorphism in the FTO gene (rs9939609) has been associated with obesity, type 2 diabetes, and appetite regulation. The aim of this study was to evaluate possible associations of FTO rs9939609 with dietary factors in patients with type 2 diabetes. METHODS This was a cross-sectional study of 236 patients with type 2 diabetes (age 60.0 ± 10.3 years; diabetes duration 12.7 ± 8.2 years; 53.4% females) who were genotyped for FTO rs9939609. Patients underwent clinical and laboratory evaluations and 3-day weighed diet records. Data on dietary intake were categorized as high or low, based on median values. RESULTS The AA genotype in the FTO gene was positively associated with high fat (>34% energy; OR = 2.17; 95% CI 1.02-4.63) and low fiber intakes (<16 g/day; OR = 2.42; 95% CI 1.05-5.57), adjusted for gender, BMI, total energy intake, systolic blood pressure, and HbA1c. When gender was taken into account, AA females had higher fat (37.4 ± 5.3 vs. 32.6 ± 7.5 and 32.2 ± 6.2% energy; p = 0.005) and lower fiber intakes (12.4 ± 4.4 vs. 15.1 ± 6.3 and 16.7 ± 5.6 g/day; p = 0.023) than patients with TT and AT genotypes. Multiple logistic regression models confirmed female associations for high fat (OR = 9.73; 95% CI 2.12-44.66) and low fiber intakes (OR = 4.28; 95% CI 1.14-16.06; p < 0.05 for all models). CONCLUSIONS Patients with type 2 diabetes, who were carriers of the AA genotype of the FTO rs9939609, had increased fat and decreased fiber consumption, independently of BMI.
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Affiliation(s)
- Thais Steemburgo
- Endocrine Division, Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.
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Brunkwall L, Ericson U, Hellstrand S, Gullberg B, Orho-Melander M, Sonestedt E. Genetic variation in the fat mass and obesity-associated gene (FTO) in association with food preferences in healthy adults. Food Nutr Res 2013; 57:20028. [PMID: 23589710 PMCID: PMC3625705 DOI: 10.3402/fnr.v57i0.20028] [Citation(s) in RCA: 36] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2012] [Revised: 03/04/2013] [Accepted: 03/14/2013] [Indexed: 12/05/2022] Open
Abstract
Background Earlier studies have indicated that the fat mass and obesity-associated gene (FTO) is not only associated with BMI and weight but also with appetite and dietary intake. Objectives We investigated if the FTO rs9939609 associates with food preferences in healthy adults with no cancer, cardiovascular disease, or diabetes. Additionally, we challenged the question if the associations are modified by obesity status (BMI ≤25 or >25 kg/m2). Design The analyses are made with 22,799 individuals from the Swedish population-based Malmö Diet and Cancer Cohort Study, who were born between 1923 and 1945. To investigate food preference, 27 food groups conducted from a modified diet history method including a 7-day registration of cooked meals and cold beverages were used in the analyses. Bonferroni correction was used to correct for multiple testing, resulting in a cut-off value for significance level of p<0.002. Results We observed that the obesity susceptible A-allele carriers reported a higher consumption of biscuits and pastry but lower consumption of soft drinks (P for trend <0.0001 for both) as compared to TT genotype carriers. In contrast to our hypothesis, the results did not significantly differ depending on obesity status except for consumption of juice, where only the overweight individuals with A-allele had a higher consumption as compared to TT carriers (P for interaction=0.04). Conclusion Our results indicate that the FTO A-allele may associate with certain food preference and in particular with certain energy-dense foods.
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Affiliation(s)
- Louise Brunkwall
- Diabetes and Cardiovascular Disease - Genetic Epidemiology, Department of Clinical Sciences in Malmö, Lund University, Malmö, Sweden
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Corella D, Ortega-Azorín C, Sorlí JV, Covas MI, Carrasco P, Salas-Salvadó J, Martínez-González MÁ, Arós F, Lapetra J, Serra-Majem L, Lamuela-Raventos R, Gómez-Gracia E, Fiol M, Pintó X, Ros E, Martí A, Coltell O, Ordovás JM, Estruch R. Statistical and biological gene-lifestyle interactions of MC4R and FTO with diet and physical activity on obesity: new effects on alcohol consumption. PLoS One 2012; 7:e52344. [PMID: 23284998 PMCID: PMC3528751 DOI: 10.1371/journal.pone.0052344] [Citation(s) in RCA: 59] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2012] [Accepted: 11/12/2012] [Indexed: 12/18/2022] Open
Abstract
Background Fat mass and obesity (FTO) and melanocortin-4 receptor (MC4R) and are relevant genes associated with obesity. This could be through food intake, but results are contradictory. Modulation by diet or other lifestyle factors is also not well understood. Objective To investigate whether MC4R and FTO associations with body-weight are modulated by diet and physical activity (PA), and to study their association with alcohol and food intake. Methods Adherence to Mediterranean diet (AdMedDiet) and physical activity (PA) were assessed by validated questionnaires in 7,052 high cardiovascular risk subjects. MC4R rs17782313 and FTO rs9939609 were determined. Independent and joint associations (aggregate genetic score) as well as statistical and biological gene-lifestyle interactions were analyzed. Results FTO rs9939609 was associated with higher body mass index (BMI), waist circumference (WC) and obesity (P<0.05 for all). A similar, but not significant trend was found for MC4R rs17782313. Their additive effects (aggregate score) were significant and we observed a 7% per-allele increase of being obese (OR = 1.07; 95%CI 1.01–1.13). We found relevant statistical interactions (P<0.05) with PA. So, in active individuals, the associations with higher BMI, WC or obesity were not detected. A biological (non-statistical) interaction between AdMedDiet and rs9939609 and the aggregate score was found. Greater AdMedDiet in individuals carrying 4 or 3-risk alleles counterbalanced their genetic predisposition, exhibiting similar BMI (P = 0.502) than individuals with no risk alleles and lower AdMedDiet. They also had lower BMI (P = 0.021) than their counterparts with low AdMedDiet. We did not find any consistent association with energy or macronutrients, but found a novel association between these polymorphisms and lower alcohol consumption in variant-allele carriers (B+/−SE: −0.57+/−0.16 g/d per-score-allele; P = 0.001). Conclusion Statistical and biological interactions with PA and diet modulate the effects of FTO and MC4R polymorphisms on obesity. The novel association with alcohol consumption seems independent of their effects on BMI.
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Affiliation(s)
- Dolores Corella
- Department of Preventive Medicine and Public Health, School of Medicine, University of Valencia, Valencia, Spain.
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Obesity: Underlying Mechanisms and the Evolving Influence of Diet. Curr Nutr Rep 2012. [DOI: 10.1007/s13668-012-0028-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
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Zhang X, Qi Q, Zhang C, Hu FB, Sacks FM, Qi L. FTO genotype and 2-year change in body composition and fat distribution in response to weight-loss diets: the POUNDS LOST Trial. Diabetes 2012; 61:3005-11. [PMID: 22891219 PMCID: PMC3478519 DOI: 10.2337/db11-1799] [Citation(s) in RCA: 119] [Impact Index Per Article: 9.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Recent evidence suggests that the fat mass and obesity-associated gene (FTO) genotype may interact with dietary intakes in relation to adiposity. We tested the effect of FTO variant on weight loss in response to 2-year diet interventions. FTO rs1558902 was genotyped in 742 obese adults who were randomly assigned to one of four diets differing in the proportions of fat, protein, and carbohydrate. Body composition and fat distribution were measured by dual-energy x-ray absorptiometry and computed tomography. We found significant modification effects for intervention varying in dietary protein on 2-year changes in fat-free mass, whole body total percentage of fat mass, total adipose tissue mass, visceral adipose tissue mass, and superficial adipose tissue mass (for all interactions, P < 0.05). Carriers of the risk allele had a greater reduction in weight, body composition, and fat distribution in response to a high-protein diet, whereas an opposite genetic effect was observed on changes in fat distribution in response to a low-protein diet. Likewise, significant interaction patterns also were observed at 6 months. Our data suggest that a high-protein diet may be beneficial for weight loss and improvement of body composition and fat distribution in individuals with the risk allele of the FTO variant rs1558902.
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Affiliation(s)
- Xiaomin Zhang
- Department of Nutrition, Harvard School of Public Health, Boston, Massachusetts
- Department of Occupational and Environmental Health and the Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Qibin Qi
- Department of Nutrition, Harvard School of Public Health, Boston, Massachusetts
| | - Cuilin Zhang
- Epidemiology Branch, Division of Epidemiology, Statistics, and Prevention Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, Maryland
| | - Frank B. Hu
- Department of Nutrition, Harvard School of Public Health, Boston, Massachusetts
- Channing Laboratory, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
| | - Frank M. Sacks
- Department of Nutrition, Harvard School of Public Health, Boston, Massachusetts
- Channing Laboratory, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
| | - Lu Qi
- Department of Nutrition, Harvard School of Public Health, Boston, Massachusetts
- Channing Laboratory, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
- Corresponding author: Lu Qi,
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Santos FL, Esteves SS, da Costa Pereira A, Yancy WS, Nunes JPL. Systematic review and meta-analysis of clinical trials of the effects of low carbohydrate diets on cardiovascular risk factors. Obes Rev 2012; 13:1048-66. [PMID: 22905670 DOI: 10.1111/j.1467-789x.2012.01021.x] [Citation(s) in RCA: 181] [Impact Index Per Article: 15.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
A systematic review and meta-analysis were carried out to study the effects of low-carbohydrate diet (LCD) on weight loss and cardiovascular risk factors (search performed on PubMed, Cochrane Central Register of Controlled Trials and Scopus databases). A total of 23 reports, corresponding to 17 clinical investigations, were identified as meeting the pre-specified criteria. Meta-analysis carried out on data obtained in 1,141 obese patients, showed the LCD to be associated with significant decreases in body weight (-7.04 kg [95% CI -7.20/-6.88]), body mass index (-2.09 kg m(-2) [95% CI -2.15/-2.04]), abdominal circumference (-5.74 cm [95% CI -6.07/-5.41]), systolic blood pressure (-4.81 mm Hg [95% CI -5.33/-4.29]), diastolic blood pressure (-3.10 mm Hg [95% CI -3.45/-2.74]), plasma triglycerides (-29.71 mg dL(-1) [95% CI -31.99/-27.44]), fasting plasma glucose (-1.05 mg dL(-1) [95% CI -1.67/-0.44]), glycated haemoglobin (-0.21% [95% CI -0.24/-0.18]), plasma insulin (-2.24 micro IU mL(-1) [95% CI -2.65/-1.82]) and plasma C-reactive protein, as well as an increase in high-density lipoprotein cholesterol (1.73 mg dL(-1) [95%CI 1.44/2.01]). Low-density lipoprotein cholesterol and creatinine did not change significantly, whereas limited data exist concerning plasma uric acid. LCD was shown to have favourable effects on body weight and major cardiovascular risk factors; however the effects on long-term health are unknown.
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Affiliation(s)
- F L Santos
- Centro Hospitalar Vila Nova Gaia/Espinho, Gaia, Portugal Centro Hospitalar do Porto, Porto, Portugal
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de Luis DA, Aller R, Izaola O, de la Fuente B, Conde R, Sagrado MG, Primo D. Evaluation of weight loss and adipocytokines levels after two hypocaloric diets with different macronutrient distribution in obese subjects with rs9939609 gene variant. Diabetes Metab Res Rev 2012; 28:663-8. [PMID: 22865603 DOI: 10.1002/dmrr.2323] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
BACKGROUND Common polymorphisms of the fat mass and obesity associated gene (FTO) have been linked to obesity in some populations. One of these genetic variants (rs9939609) has been related to an increased risk of obesity. OBJECTIVE Our aim was to evaluate weight loss and adipocytokine levels after two hypocaloric diets with different macronutrient distribution in obese subjects with RS9939609 gene variant. DESIGN 305 obese patients were enrolled in a prospective way. In the basal visit, patients were randomly allocated during 3 months to low carbohydrates and low fat. RESULTS After treatment with both diets and in both genotypes, weight, fat mass, waist circumference and systolic blood pressures decreased. With the diet type I and in TT genotype, insulin (-6.6 ± 9.8 IU/L) and homeostasis model assessment (-2.9 ± 6.1 units) decreased. With the diet type II and in both genotypes (wild and mutant type), insulin (-5.2 ± 6.1 vs. -3.8 ± 6.1 IU/L; p < 0.05) and homeostasis model assessment (-2.4 ± 4.8 vs. -1.1 ± 3.8 kg; p < 0.05) decreased. In the A allele group, a significant decrease was detected in total cholesterol levels (-11.5 ± 20.1 mg/dL), low density lipoprotein cholesterol levels (-13.2 ± 20.9 mg/dL) and c-reactive protein levels (-1.3 ± 3.8 mg/dL) secondary to weight loss after treatment with diet II. The decrease of leptin levels was higher in mutant type group than wild type group with low fat diet (-10.3 ± 36.1 vs. -28.6 ± 53.7 ng/mL; p < 0.05). CONCLUSION Metabolic improvement secondary to weight loss was better in A carriers with a low fat hypocaloric diet.
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Affiliation(s)
- Daniel Antonio de Luis
- Center of Investigation of Endocrinology and Nutrition, Medicine School and Unit of Investigation, Hospital Rio Hortega, University of Valladolid, Valladolid, Spain.
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TFAP2B influences the effect of dietary fat on weight loss under energy restriction. PLoS One 2012; 7:e43212. [PMID: 22952648 PMCID: PMC3428346 DOI: 10.1371/journal.pone.0043212] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2012] [Accepted: 07/18/2012] [Indexed: 11/19/2022] Open
Abstract
Background Numerous gene loci are related to single measures of body weight and shape. We investigated if 55 SNPs previously associated with BMI or waist measures, modify the effects of fat intake on weight loss and waist reduction under energy restriction. Methods and Findings Randomized controlled trial of 771 obese adults. (Registration: ISRCTN25867281.) One SNP was selected for replication in another weight loss intervention study of 934 obese adults. The original trial was a 10-week 600 kcal/d energy-deficient diet with energy percentage from fat (fat%) in range of 20–25 or 40–45. The replication study used an 8-weeks diet of 880 kcal/d and 20 fat%; change in fat% intake was used for estimation of interaction effects. The main outcomes were intervention weight loss and waist reduction. In the trial, mean change in fat% intake was −12/+4 in the low/high-fat groups. In the replication study, it was −23/−12 among those reducing fat% more/less than the median. TFAP2B-rs987237 genotype AA was associated with 1.0 kg (95% CI, 0.4; 1.6) greater weight loss on the low-fat, and GG genotype with 2.6 kg (1.1; 4.1) greater weight loss on the high-fat (interaction p-value; p = 0.00007). The replication study showed a similar (non-significant) interaction pattern. Waist reduction results generally were similar. Study-strengths include (i) the discovery study randomised trial design combined with the replication opportunity (ii) the strict dietary intake control in both studies (iii) the large sample sizes of both studies. Limitations are (i) the low minor allele frequency of the TFAP2B polymorphism, making it hard to investigate non-additive genetic effects (ii) the different interventions preventing identical replication-discovery study designs (iii) some missing data for non-completers and dietary intake. No adverse effects/outcomes or side-effects were observed. Conclusions Under energy restriction, TFAP2B may modify the effect of dietary fat intake on weight loss and waist reduction.
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Matsuo T, Nakata Y, Murotake Y, Hotta K, Tanaka K. Effects of FTO genotype on weight loss and metabolic risk factors in response to calorie restriction among Japanese women. Obesity (Silver Spring) 2012; 20:1122-6. [PMID: 22016090 DOI: 10.1038/oby.2011.322] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Effects of gene variants in the fat-mass and obesity-associated (FTO) gene (primarily rs9939609) on weight loss induced by lifestyle intervention are controversial. The aim of this study was to investigate whether FTO gene variations are associated with weight-reduction and changes in metabolic risk factors in response to a 14-week calorie restriction. In total, 204 Japanese women (aged 24-66 years; BMI ≥ 25 kg/m(2)) enrolled as subjects and attended dietary lectures instructing them on how to consume a nutritionally balanced diet of 1,200 kcal/day. Fat mass, both at baseline (P = 0.100) and after the intervention (P = 0.020), was higher in subjects with the AA genotype (n = 15; 7.3%) than in those with TT (n = 114; 55.9%) and TA (n = 75; 36.8%) genotypes. The change in fat-mass tended to be smaller in subjects with the AA genotype than in those with other genotypes (P = 0.065). However, the subjects with the risk allele could still decrease their body weight and improve metabolic risk factors significantly. Our data suggest that the impact of FTO rs9939609 in Japanese women may not be great enough to change body weight or metabolic risk factors in response to calorie restriction. Environmental and behavioral factors may overcome the effects of genes on weight reduction.
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Affiliation(s)
- Tomoaki Matsuo
- Graduate School of Comprehensive Human Sciences, University of Tsukuba, Tsukuba, Japan.
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Phillips CM, Kesse-Guyot E, McManus R, Hercberg S, Lairon D, Planells R, Roche HM. High dietary saturated fat intake accentuates obesity risk associated with the fat mass and obesity-associated gene in adults. J Nutr 2012; 142:824-31. [PMID: 22457394 DOI: 10.3945/jn.111.153460] [Citation(s) in RCA: 103] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
Abstract
Fat mass and obesity-associated (FTO) is the strongest genetic determinant of obesity identified to date. Dietary fat is a key environmental factor that may interact with genotype to affect risk of obesity and metabolic syndrome (MetS). This study investigated associations among FTO rs9939609, obesity measures, and MetS phenotypes in adults and determined potential modulation by dietary fat intake at baseline and after a 7.5-y follow-up when MetS cases and controls were selected. FTO rs9939609 genotype, biochemical, dietary, and lifestyle measurements were determined in the LIPGENE-SU.VI.MAX study (n = 1754). FTO rs9939609 A allele carriers had a higher risk of being overweight or obese [OR = 1.66 (95% CI: 1.07, 2.57); P = 0.02] and of having a larger abdominal circumference [OR = 1.42 (95% CI: 1.01, 1.99); P = 0.04] compared with the TT homozygotes. These associations were independent of physical activity and energy intake and were maintained over the follow-up period, particularly in the MetS individuals. High dietary SFA intake (≥ 15.5% energy) and a low dietary PUFA:SFA intake ratio (<0.38) further accentuated the risk of having a BMI ≥ 25 kg/m(2) and being abdominally obese. Non-risk allele carriers appeared to be unresponsive to dietary SFA intake or to the dietary PUFA:SFA intake ratio with respect to obesity measures. In conclusion, FTO rs9939609 was associated with obesity measures, especially in those with the MetS, which was further exacerbated by high dietary SFA intake at baseline and 7.5 y later. These data indicate important novel modulation of genetic risk by dietary fat exposure in individuals with increased cardiometabolic risk.
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Affiliation(s)
- Catherine M Phillips
- Nutrigenomics Research Group, University College Dublin School of Public Health and Population Science, University College Dublin Conway Institute, Dublin, Ireland
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The A-allele of the common FTO gene variant rs9939609 complicates weight maintenance in severe obese patients. Int J Obes (Lond) 2012; 37:135-9. [PMID: 22310469 DOI: 10.1038/ijo.2012.14] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
OBJECTIVE The A-allele of the fat mass and obesity-associated (FTO) gene variant rs9939609 has been associated with increased body weight, whereas no effect on weight loss during weight reduction programs has been observed. We questioned whether the AA-genotype interferes with weight stabilization after weight loss. DESIGN We conducted a monocentric, longitudinal study involving obese individuals. The FTO gene variant rs9939609 was genotyped in participants attending a weight reduction program that was divided into two phases: a weight reduction period with formula diet (12 weeks) and a weight maintenance phase (40 weeks). Body weight, body mass index (BMI), blood pressure and concentrations of blood glucose, total cholesterol, low-density lipoprotein, high-density lipoprotein and triglycerides were determined in week 0 (T(0)), after 12 weeks (T(1)) and at the end in week 52 (T(2)). SUBJECTS A total of 193 obese subjects aged between 18 and 72 years (129 female, 64 male; initial body weight: 122.4±22.3 kg, initial BMI: 41.8±6.7 kg m(-2)) were included. RESULTS Genotyping revealed 32.1% TT-, 39.4% AT- and 28.5% AA-genotype carriers. At T (0), carriers of the AA-genotype had significantly higher body weight (P=0.04) and BMI (P=0.005) than carriers of the TT-genotype. Of the 193 participants, 68 discontinued and 125 completed the program. Dropout rate was not influenced by genotype (P=0.33). Completers with AA-genotype showed significantly lower additional weight loss during the weight maintenance phase than TT-genotype carriers (P=0.02). Furthermore, among participants facing weight regain during weight maintenance (n=52), more subjects were carrying the AA-genotype (P=0.006). No influence of genotype on weight reduction under formula diet was observed (P=0.32). CONCLUSION In this program, the AA-genotype of rs9939609 was associated with a higher initial body weight and did influence success of weight stabilization. Thus, emphasizing the maintenance phase during a weight reduction program might result in better success for AA-genotype carriers.
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Scherag A, Kleber M, Boes T, Kolbe AL, Ruth A, Grallert H, Illig T, Heid IM, Toschke AM, Grau K, Sørensen TIA, Hebebrand J, Hinney A, Reinehr T. SDCCAG8 obesity alleles and reduced weight loss after a lifestyle intervention in overweight children and adolescents. Obesity (Silver Spring) 2012; 20:466-70. [PMID: 22095114 DOI: 10.1038/oby.2011.339] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Genome-wide association analyses (GWAS) contributed to the detection of a number of single-nucleotide polymorphisms (SNPs) associated with obesity. However, little is known about the impact of the obesity-risk alleles on weight loss-related phenotypes after lifestyle interventions. A recent meta-analysis of GWAS reported five genomic loci near or in the genes FTO, MC4R, TMEM18, SDCCAG8, TNKS/MSRA that were associated with obesity in children and adolescents. Here, we analyzed the effect of the 10 SNPs representative of the five loci on measures of weight loss and cardiometabolic risk after a 1-year lifestyle intervention in 401 children and adolescents (mean age 10.74 years; 55.4% female; mean BMI 27.42 kg/m(2), mean BMI-standard deviation score (SDS) 2.37). For confirmation of one locus genotyping of three intronic SNPs in SDCCAG8 was performed in 626 obese adults who completed the 10-week hypoenergetic diet program. Intronic variants of SDCCAG8, which are associated with early onset obesity, are associated with reduced weight loss after a 1-year lifestyle intervention in overweight children and adolescents even after adjusting for age, sex, baseline measurement, or multiple testing (all P < 10(-6)). However, our results could not be confirmed in 626 obese adults undertaking a hypoenergetic diet intervention.
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Affiliation(s)
- André Scherag
- Institute for Medical Informatics, Biometry and Epidemiology, University of Duisburg-Essen, Essen, Germany.
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Individualized Weight Management: What Can Be Learned from Nutrigenomics and Nutrigenetics? PROGRESS IN MOLECULAR BIOLOGY AND TRANSLATIONAL SCIENCE 2012; 108:347-82. [DOI: 10.1016/b978-0-12-398397-8.00014-9] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
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Choquet H, Meyre D. Genetics of Obesity: What have we Learned? Curr Genomics 2011; 12:169-79. [PMID: 22043165 PMCID: PMC3137002 DOI: 10.2174/138920211795677895] [Citation(s) in RCA: 155] [Impact Index Per Article: 11.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2011] [Revised: 03/31/2011] [Accepted: 03/31/2011] [Indexed: 12/14/2022] Open
Abstract
Candidate gene and genome-wide association studies have led to the discovery of nine loci involved in Mendelian forms of obesity and 58 loci contributing to polygenic obesity. These loci explain a small fraction of the heritability for obesity and many genes remain to be discovered. However, efforts in obesity gene identification greatly modified our understanding of this disorder. In this review, we propose an overlook of major lessons learned from 15 years of research in the field of genetics and obesity. We comment on the existence of the genetic continuum between monogenic and polygenic forms of obesity that pinpoints the role of genes involved in the central regulation of food intake and genetic predisposition to obesity. We explain how the identification of novel obesity predisposing genes has clarified unsuspected biological pathways involved in the control of energy balance that have helped to understand past human history and to explore causality in epidemiology. We provide evidence that obesity predisposing genes interact with the environment and influence the response to treatment relevant to disease prediction.
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Affiliation(s)
- Hélène Choquet
- Ernest Gallo Clinic and Research Center, Department of Neurology, University of California, San Francisco, Emeryville, California 94608, USA
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Astrup A. The relevance of increased fat oxidation for body-weight management: metabolic inflexibility in the predisposition to weight gain. Obes Rev 2011; 12:859-65. [PMID: 21692967 DOI: 10.1111/j.1467-789x.2011.00894.x] [Citation(s) in RCA: 35] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Cells, tissues and organisms have the ability to rapidly switch substrate oxidation from carbohydrate to fat in response to changes in nutrient intake, and to changes in energy demands, environmental cues and internal signals. In healthy, metabolically normal individuals, substrate switching occurs rapidly and completely; in other words, substrate switching is 'flexible'. A growing body of evidence demonstrates that a blunted substrate switching from low- to high-fat oxidation exists in obese individuals, as well as in pre-obese and post-obese, and that this 'metabolic inflexibility' may be a genetically determined trait. A decreased fat oxidation can lead to a positive energy balance under conditions of high-fat feeding, due to depletion of glycogen stores that stimulates appetite and energy intake through glucostatic and glucogenostatic mechanisms, e.g. hepatic sensing of glycogen stores. Several genetic polymorphisms and single-nucleotide polymorphisms have been identified that are associated with low-fat oxidation rates and metabolic inflexibility, and genetic identification of susceptible individuals may lead to personalized prevention of weight gain using fat oxidation stimulants ('fat burners') in the future.
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Affiliation(s)
- A Astrup
- Department of Human Nutrition, Centre for Advanced Food Studies, Faculty of Life Sciences, University of Copenhagen, Frederiksberg, Denmark.
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Santos JL, De la Cruz R, Holst C, Grau K, Naranjo C, Maiz A, Astrup A, Saris WHM, MacDonald I, Oppert JM, Hansen T, Pedersen O, Sorensen TIA, Martinez JA. Allelic variants of melanocortin 3 receptor gene (MC3R) and weight loss in obesity: a randomised trial of hypo-energetic high- versus low-fat diets. PLoS One 2011; 6:e19934. [PMID: 21695122 PMCID: PMC3114803 DOI: 10.1371/journal.pone.0019934] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2010] [Accepted: 04/21/2011] [Indexed: 11/29/2022] Open
Abstract
Introduction The melanocortin system plays an important role in energy homeostasis. Mice genetically deficient in the melanocortin-3 receptor gene have a normal body weight with increased body fat, mild hypophagia compared to wild-type mice. In humans, Thr6Lys and Val81Ile variants of the melanocortin-3 receptor gene (MC3R) have been associated with childhood obesity, higher BMI Z-score and elevated body fat percentage compared to non-carriers. The aim of this study is to assess the association in adults between allelic variants of MC3R with weight loss induced by energy-restricted diets. Subjects and Methods This research is based on the NUGENOB study, a trial conducted to assess weight loss during a 10-week dietary intervention involving two different hypo-energetic (high-fat and low-fat) diets. A total of 760 obese patients were genotyped for 10 single nucleotide polymorphisms covering the single exon of MC3R gene and its flanking regions, including the missense variants Thr6Lys and Val81Ile. Linear mixed models and haplotype-based analysis were carried out to assess the potential association between genetic polymorphisms and differential weight loss, fat mass loss, waist change and resting energy expenditure changes. Results No differences in drop-out rate were found by MC3R genotypes. The rs6014646 polymorphism was significantly associated with weight loss using co-dominant (p = 0.04) and dominant models (p = 0.03). These p-values were not statistically significant after strict control for multiple testing. Haplotype-based multivariate analysis using permutations showed that rs3827103–rs1543873 (p = 0.06), rs6014646–rs6024730 (p = 0.05) and rs3746619–rs3827103 (p = 0.10) displayed near-statistical significant results in relation to weight loss. No other significant associations or gene*diet interactions were detected for weight loss, fat mass loss, waist change and resting energy expenditure changes. Conclusion The study provided overall sufficient evidence to support that there is no major effect of genetic variants of MC3R and differential weight loss after a 10-week dietary intervention with hypo-energetic diets in obese Europeans.
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Affiliation(s)
- José L. Santos
- Department of Nutrition, Diabetes and Metabolism, Pontificia Universidad Católica de Chile, Santiago, Chile
- Department of Nutrition and Food Sciences, Physiology and Toxicology, University of Navarra, Pamplona, Spain
| | - Rolando De la Cruz
- Department of Public Health and Department of Statistics, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Claus Holst
- Centre for Health and Society, Institute of Preventive Medicine, Copenhagen University Hospital, Copenhagen, Denmark
| | - Katrine Grau
- Centre for Health and Society, Institute of Preventive Medicine, Copenhagen University Hospital, Copenhagen, Denmark
| | - Carolina Naranjo
- Department of Public Health and Department of Statistics, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Alberto Maiz
- Department of Nutrition, Diabetes and Metabolism, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Arne Astrup
- Department of Human Nutrition, Faculty of Life Science, University of Copenhagen, Copenhagen, Denmark
| | - Wim H. M. Saris
- Department of Human Biology, Nutrition and Toxicology Research Institute Maastricht, Maastricht University, Maastricht, The Netherlands
| | - Ian MacDonald
- School of Biomedical Science, University of Nottingham Medical School, Queen's Medical Centre, Nottingham, United Kingdom
| | - Jean-Michel Oppert
- Department of Nutrition, Hotel-Dieu Hospital University Pierre-et-Marie Curie (Paris 6), Human Nutrition Research Center Ile-de-France, Paris, France
| | | | - Oluf Pedersen
- Hagedorn Research Institute, Gentofte, Denmark
- Institute of Biomedical Science, University of Copenhagen, Copenhagen, Denmark
| | - Thorkild I. A. Sorensen
- Centre for Health and Society, Institute of Preventive Medicine, Copenhagen University Hospital, Copenhagen, Denmark
| | - J. Alfredo Martinez
- Department of Nutrition and Food Sciences, Physiology and Toxicology, University of Navarra, Pamplona, Spain
- * E-mail:
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Abstract
PURPOSE OF REVIEW To highlight standard PhenX (consensus measures for Phenotypes and eXposures) measures for nutrition, dietary supplements, and cardiovascular disease research and to demonstrate how these and other PhenX measures can be used to further interdisciplinary genetics research. RECENT FINDINGS PhenX addresses the need for standard measures in large-scale genomic research studies by providing investigators with high-priority, well established, low-burden measurement protocols in a web-based toolkit (https://www.phenxtoolkit.org). Cardiovascular and Nutrition and Dietary Supplements are just 2 of 21 research domains and accompanying measures included in the PhenX Toolkit. SUMMARY Genome-wide association studies (GWAS) provide promise for the identification of genomic markers associated with different disease phenotypes, but require replication to validate results. Cross-study comparisons typically increase statistical power and are required to understand the roles of comorbid conditions and environmental factors in the progression of disease. However, the lack of comparable phenotypic, environmental, and risk factor data forces investigators to infer and to compare metadata rather than directly combining data from different studies. PhenX measures provide a common currency for collecting data, thereby greatly facilitating cross-study analysis and increasing statistical power for identification of associations between genotypes, phenotypes, and exposures.
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Grau K, Cauchi S, Holst C, Astrup A, Martinez JA, Saris WHM, Blaak EE, Oppert JM, Arner P, Rössner S, Macdonald IA, Klimcakova E, Langin D, Pedersen O, Froguel P, Sørensen TIA. TCF7L2 rs7903146-macronutrient interaction in obese individuals' responses to a 10-wk randomized hypoenergetic diet. Am J Clin Nutr 2010; 91:472-9. [PMID: 20032493 DOI: 10.3945/ajcn.2009.27947] [Citation(s) in RCA: 55] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open
Abstract
BACKGROUND Transcription factor 7-like 2 (TCF7L2) rs7903146 associates with type 2 diabetes and may operate via impaired glucagon-like peptide 1 secretion, which is stimulated more by fat than by carbohydrate ingestion. OBJECTIVE The objective was to examine the interaction between TCF7L2 rs7903146 and dietary fat and carbohydrate [high-fat, low-carbohydrate: 40-45% of energy as fat (HF); compared with low-fat, high-carbohydrate: 20-25% of energy as fat (LF)] in obese individuals' responses to a 10-wk hypoenergetic diet (-600 kcal/d). DESIGN European, obese participants (n = 771) were randomly assigned to receive an HF or an LF diet. Body weight, fat mass (FM), fat-free mass (FFM), waist circumference (WC), resting energy expenditure (REE), fasting fat oxidation in percentage of REE (FatOx), homeostasis model assessed insulin release (HOMA-beta), and HOMA-insulin resistance (HOMA-IR) were determined at baseline and after the intervention; 739 individuals were genotyped for rs7903146. RESULTS Average weight loss was 6.9 kg with the LF and 6.6 kg with the HF (difference between diets, NS) diet. Among individuals who were homozygous for the T-risk allele, those in the HF diet group experienced smaller weight losses (Deltaweight) (2.6 kg; P = 0.009; n = 622), smaller DeltaFFM (1.6 kg; P = 0.027; n = 609), smaller DeltaWC (3.3 cm; P = 0.010; n = 608), and a smaller DeltaHOMA-IR (1.3 units; P = 0.004; n = 615) than did the LF diet group. For C allele carriers, there were no differences between the HF and LF diet groups. For the HF diet group, each additional T allele was associated with a reduced loss of FM (0.67 kg; P = 0.019; n = 609). TCF7L2 rs7903146 was not associated with DeltaREE, DeltaFatOx, DeltaHOMA-beta, or dropout. CONCLUSION Our results suggest that obese individuals who are homozygous for the TCF7L2 rs7903146 T-risk allele are more sensitive to LF than to HF weight-loss diets.
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Affiliation(s)
- Katrine Grau
- Institute of Preventive Medicine Copenhagen University Hospital, Centre for Health and Society, Copenhagen, Denmark.
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Razquin C, Martinez JA, Martinez-Gonzalez MA, Bes-Rastrollo M, Fernández-Crehuet J, Marti A. A 3-year intervention with a Mediterranean diet modified the association between the rs9939609 gene variant in FTO and body weight changes. Int J Obes (Lond) 2009; 34:266-72. [PMID: 19918250 DOI: 10.1038/ijo.2009.233] [Citation(s) in RCA: 74] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
INTRODUCTION The aim of this study was to analyze the effects of the rs9939609 (T/A) gene variant in fat mass and obesity-associated gene (FTO) on body weight changes after 3 years and its modification by a randomized nutritional intervention with a Mediterranean-style diet in a population of subjects at high cardiovascular risk. DESIGN A substudy of PREDIMED, which is a randomized trial aimed at assessing the effect of the Mediterranean diet (MD) for primary cardiovascular disease prevention. There were three nutritional intervention groups: two of them with a Mediterranean-style diet and the third was a control group advised to follow a conventional low-fat diet. SUBJECTS A total of 776 high cardiovascular risk subjects aged 55-80 years. MEASUREMENTS Anthropometric measurements were recorded at baseline and at 3 years. The participants were genotyped by RT-PCR, followed by allelic discrimination. RESULTS Homozygous subjects had the highest baseline body weight. The dominant model showed that subjects carrying the A allele had the lowest body weight gain (B=-0.685; P=0.022) after 3 years of nutritional intervention compared with nonmutated subjects (TT genotype) regardless of the nutritional intervention. Moreover, this effect was statistically significant in carriers of the A allele only among those allocated to the MD groups (B=-0.830; P=0.018), but it was not significant among those allocated to the control group (P for interaction=0.649). CONCLUSION This study confirmed the association between body weight and the FTO rs9939609 polymorphism. Interestingly, our results showed that, although at baseline the A allele was associated with higher body weight, after 3 years of nutritional intervention with a Mediterranean-style-diet, A-allele carriers had lower body weight gain than wild type subjects. No interaction between nutritional intervention and the polymorphism was found.
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Affiliation(s)
- C Razquin
- Department of Nutrition and Food Sciences, Physiology and Toxicology, University of Navarra, Navarra, Spain
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