SciELO - Scientific Electronic Library Online

 
vol.30 número1Asociación entre estado nutricional, proteína C reactiva, adiponectina y HOMA-AD en niños brasileñosEncontrando nuevas soluciones en las mezclas parenterales pediatricas: ¿cómo mejorar la calidad y gestionar el desabastecimiento? índice de autoresíndice de materiabúsqueda de artículos
Home Pagelista alfabética de revistas  

Servicios Personalizados

Revista

Articulo

Indicadores

Links relacionados

  • En proceso de indezaciónCitado por Google
  • No hay articulos similaresSimilares en SciELO
  • En proceso de indezaciónSimilares en Google

Compartir


Nutrición Hospitalaria

versión On-line ISSN 1699-5198versión impresa ISSN 0212-1611

Nutr. Hosp. vol.30 no.1 Madrid jul. 2014

https://dx.doi.org/10.3305/nh.2014.30.1.7542 

ORIGINAL / Pediatría

 

Common variants in genes related to lipid and energy metabolism are associated with weight loss after an intervention in overweight/obese adolescents

Asociación entre variantes genéticas relacionadas con el metabolismo lipídico y energético y la pérdida de peso tras una intervención en adolescentes con sobrepeso u obesidad

 

 

Adriana Moleres1, Fermín I. Milagro1,2, Ascensión Marcos3, Eduardo González-Zorzano4, Cristina Campoy5, Jesús M. Garagorri6, M. Cristina Azcona-Sanjulian7, J. Alfredo Martinez1,2 and Amelia Marti1,2 on behalf of the EVASYON study group

1Department of Nutrition. Food Science. Physiology and Toxicology. University of Navarra. Pamplona. Spain.
2CIBERobn. Physiopathology of Obesity and Nutrition. Institute of Health Carlos III. Madrid. Spain.
3Immunonutrition Research Group. Department of Metabolism and Nutrition. Institute of Food Science. Technology and Nutrition (ICTAN). Instituto del Frío. Spanish National Research Council (CSIC). Madrid. Spain.
4Medical Department. Cinfa Laboratoies. Pamplona. España.
5Pediatric Department. Medicine School. Universidad de Granada. Granada. Spain.
6Department of Paediatrics. Radiology and Physical Medicine. Universidad de Zaragoza. Spain.
7Paediatric Endocrinology Unit. Department of Pediatrics. University of Navarra Hospital. Pamplona. Spain.

Research relating to this abstract was funded by grants from the Health Research Fund from the Carlos III Health Institute from Ministry of Health and Consumption, FIS (PI051579, PI051080) for the EVASYON project, Línea Especial, Nutrición y Obesidad (University of Navarra), CIBERobn and RETICS (Gob Navarra). The scholarships to A. Moleres from the Navarra Government is fully acknowledged.

Correspondence

 

 


ABSTRACT

Background: Some SNPs related to lipid and energy metabolism may be implicated not only in the development of obesity and associated comorbidities, but also in the weight loss response after a nutritional intervention.
Objective: In this context, the present study analyzed four SNPs located within four genes known to be associated with obesity and other obesity-related complications, and their putative role in a weight-loss intervention in overweight/obese adolescents.
Methods: The study population consisted of 199 overweight/obese adolescents (13-16 yr old) undergoing 10 weeks of a weight loss multidisciplinary intervention: the EVASYON programme (www.estudioevasyon.org). Adolescents were genotyped for 4 SNPs, and anthropometric measurements and biochemical markers were analyzed at the beginning and after the intervention.
Results: Interestingly, APOA5(rs662799) was associated with the baseline anthropometric and biochemical outcomes, whereas FTO (rs9939609) seemed to be related with the change of these values after the 10-week intervention. The other two SNPs, located in the CETP (rs1800777) and the APOA1 (rs670) genes, showed important relationships with adiposity markers. Specifically, a combined model including both SNPs turned up to explain up to 24% of BMI-SDS change after 10 weeks of the multidisciplinary intervention, which may contribute to understand the weight loss response.
Conclusion: Common variants in genes related to lipid and energy metabolism may influence not only biochemical outcomes but also weight loss response after a multidisciplinary intervention carried out in obese/overweight adolescents.

Key words: APOA1. CETP. EVASYON. FTO. APOA5.


RESUMEN

Antecedentes: Algunas variantes genéticas relacionadas con el metabolismo lipídico y energético pueden estar implicadas en la respuesta a una intervención nutricional además de estar asociadas con el desarrollo de obesidad y comorbilidades asociadas.
Objetivo: En este sentido, este artículo analiza cuatro polimorfismos situados en cuatro genes que han sido previamente asociados con la obesidad u otras complicaciones asociadas a la misma, así como su posible papel en la respuesta a una intervención para la pérdida de peso en adolescentes con sobrepeso u obesidad.
Métodos: La población en estudio está formada por 199 adolescentes con sobrepeso u obesidad (13-16 años) llevando a cabo una intervención multidisciplinar de 10 semanas para la pérdida de peso: programa EVASYON (www.estudioevasyon.org). Los adolescentes fueron genotipados para los 4 SNPs y tanto al comienzo como al final de la intervención se analizaron marcadores bioquímicos y se tomaron medidas antropométricas.
Resultados: Rs662799 del gen APOA5 se asoció al inicio con parámetros antropométricos y bioquímicos, mientras que el rs9939609 del gen FTO parecía estar asociado con el cambio de estas variables tras 10 semanas de intervención. Las variantes rs1800777 del gen CETP y rs670 del gen APOA1 mostraron una importante asociación con marcadores de adiposidad. Concretamente, un modelo combinado incluyendo los dos polimorfismos logró explicar hasta un 24% del cambio en el IMC-SDS tras 10 semanas de intervención.
Conclusión: Variantes genéticas previamente relacionadas con el metabolismo lipídico y energético, pueden repercutir no solamente en valores bioquímicos sino también en la respuesta a una intervención multidisciplinar para la pérdida de peso en adolescentes con sobrepeso u obesidad.

Palabras clave: APOA1. CETP. EVASYON. FTO. APOA5.


 

Introduction

Overweight and obesity during childhood and adolescence has became a growing public health problem throughout the world1-2 to the extent that, according to the European Association for the Study of Obesity (EASO), about 16-22% of European adolescents between 14 and 17 years old are overweight or obese, with an annual increase of the prevalence of around 2% in the 1990s and 2000s3. These rates in childhood and adolescent obesity appear to be associated with important comorbidities in adulthood, such as type 2 diabetes, coronary artery disease or atherosclerosis, accompanied by elevated costs for public health systems4,5. Besides, the imbalance between an increased energy intake and a decreased energy expenditure due to inadequate dietary habits and physical activity patterns, genetic factors, as well as gene x gene and gene x environment interactions, may be also involved in obesity aetiology accounting for 40-70% of obesity phenotypes6.

Concerning the genetic basis of obesity, several SNPs located in different genes have been found to be associated with adiposity, dietary patterns or weight loss78. In this context, several studies have shown significant relationships between adiposity, dyslipidemia, hypertension, diabetes or an increased cardiovascular risk and individual SNPs9-18, including APOA1, APOA5, FTO and CETP, which are genes involved in the regulation of plasma lipid levels. Four SNPs that have been previously found to influence plasma lipid levels and cardiovascular disease are rs670 (APOA1), rs662799 (APOA5), rs 1800777 (CETP) and rs9939609 (FTO)19-23. Thus, APOA1 is a gene that encodes for Apolipoprotein A-1, the major protein component of HDL-cholesterol24. APOA5 encodes for Apolipoprotein A-V, a component of several lipoprotein factors as VLDL or HDL and an important determinant of plasma triglyceride levels25. As for FTO gene, it has been widely associated with obesity26-28. Finally, CETP encodes for the plasma lipid transfer protein, a plasma protein that facilitates the transport of cholesterol esters and triglycerides between the lipoproteins29. However, the effects of the four SNPs after a lifestyle intervention for weight loss are in most cases still scarce. Therefore, our purpose was to evaluate the effect of these SNPs located in FTO, APOA5, APOA1 and CETP genes, which have been previously associated with obesity, dyslipidemia and other obesity-related pathologies, in the metabolic response after a weight-loss intervention in over-weight/obese adolescents.

 

Subjects and methods

The trial recruited 199 overweight or obese adolescents (39% males) undergoing a 10 week intensive lifestyle intervention, the EVASYON study (www.estudioevasyon.org), which is a lifestyle and nutritional educational weight loss program supported by a multidisciplinary team of nutritionists, physiotherapists, psychologists and paediatricians. Data from these adolescents were collected at the beginning and after 10 weeks of treatment and participants were recruited from five Spanish cities (Granada, Madrid, Pamplona, Santander and Zaragoza). The study included only 12 to 16 years old overweight or obese adolescents, according to Cole s criteria30, which have been raised in Spain and without diagnosed disease associated with obesity or pharmacological treatment.

Written consent to participate was requested from both parents and adolescents. The study protocols were performed in accordance with the ethical standards laid down in the 1961 Declaration of Helsinki (as revised in South Korea in 2008), following the European Economic Community (EEC) Good Clinical Practice guidelines (document 111/3976/88 of July 1990) and current Spanish laws, which regulates clinical research in humans (Royal Decree 561/1993 regarding clinical trials). The study was approved by the five local ethics committees.

Multidisciplinary intervention

According to food intake questionnaires, a personalized balanced diet (30% of energy as fat, 15% as proteins and 55% as carbohydrates) and a physical activity programme was handed in to each adolescent. During the 10 week intensive program period, the adolescents attended weekly group sessions where they received nutritional and physical advice, as well as psychological support. The description of the complete EVASYON study design has been previously published elsewhere31.

Physical Activity, Energy Intake, Metabolic and Anthropometric Data

All the adolescents were asked to fill in a series of validated questionnaires in order to determine their physical activity level and estimate their basal metabolism rates31,32. A semi-quantitative food-frequency questionnaire, previously validated in Spain33, and containing 132 food items, as well as a 72-hour recall was filled in at the beginning of the follow-up. Weight and height were measured with an electronic scale (Type SECA 861, SECA, Birmingham, UK) and a telescopic height measuring instrument (Type SECA 225, SECA, Birmingham, UK) respectively. BMI was calculated as weight (in kg)/height2 (in m2). Then, individual BMI values were converted into standard deviation scores (SDS) using age and specific cut-points according to the Spanish children and adolescent growth references34. Skinfolds were measured with a skinfold calliper (Caliper Holtain; Holtain Ltd., Walles, UK) and waist and hip circumferences with a flexible non-stretchable measuring tape (Type SECA 200, SECA, Birmingham, UK). Pubertal developmental was determined according to Tanner stage35. Blood pressure was obtained using the left arm after the adolescent had rested quietly for 15 minutes using a blood pressure monitor Mod. OMRON M6 (OMROM Health Care Co., Kyoto, Japan) by following validated procedures.

Genotyping

Venous blood samples were collected at the beginning of the study. DNA was extracted from the buffy coat fraction using a commercial kit (Master PureTM; Epicentre, Madison, WI, USA) and its quality and quantity were determined with a NanoDrop ND-1000 spectrometer (NanoDrop Technologies, Wilmington, Delaware, USA). All the subjects were genotyped for 4 SNPs located within APOA1, APOA5, FTO and CETP genes (rs670, rs662799, rs1800777 and rs9939609, respectively) by using the N+S nutrigenetic test of CINFA (Olloki, Spain). Briefly, targeted regions of genomic DNA were amplified in a multiplex PCR reaction using biotinylated dCTP by using an Applied Biosystems gold plated 96-well Geneamp® PCR System 9700 (Applied Biosystems, Foster City, CA, USA). The PCR products were then hybridized onto oligonucleotide probes attached to microspheres and labeled with streptavidin-conjugated phycoerythrin (Luminex xMAP® Technology). These beads were analyzed by flow cytometry with the Luminex® 100/200TM System (Luminex Corporation, Austin, TX, USA) by following the usual protocol36. The presence of specific polymorphisms in the sample material was determined by correlation of the fluorescence signal intrinsic to each microsphere with the presence or absence of a corresponding phycoerythrin signal. Replicate quality control samples were included in every genotyping plate with more than 99% of concordance.

Statistical analysis

Statistical analyses were performed using the Statistical Package for the Social Sciences (SPSS) software 15.0 (SPSS INC., Chicago, IL). A x2 test was used to evaluate the Hardy-Weinberg equilibrium. The Kolmogorov-Smirnov test was used to determine variable distribution.

The differences in anthropometric, biochemical and energy intake variables between the SNP genotypes were tested with analysis of the covariance (ANCOVA) adjusted for confounders such as age, sex or baseline BMI-SDS (for normally distributed variables), or the Mann Whitney U test. Multivariate regression models were fitted to assess the association between the genotypes and weight loss after adjusting for confounder factors. The level of probability was set at p < 0.05 as statistically significant.

 

Results

The present study analyzed four SNPs located in APOA1, APOA5, FTO and CETP genes, previously associated with obesity, diabetes, dyslipidemia and other obesity-related pathologies. Allele frequencies of the four studied SNPs were within expected ranges for Caucasian populations and the Hardy Weinberg equilibrium was fulfilled in this population.

Anthropometric, biochemical and physical activity markers and determinants as well as dietary patterns for overweight/obese adolescents at baseline and after 10 weeks of the EVASYON programme, are shown (table I). Adiposity markers, such as weight, BMI-SDS, fat mass and waist circumference, were significantly reduced. In a similar way, the metabolic profile of the adolescents was improved after the intervention. There was a significant decrease in leptin, insulin, total cholesterol, triglycerides and C-reactive protein among other parameters. In regard to physical activity, obese adolescents not only decreased their sedentary behaviour but also improved their physical skills. Finally, after 10 weeks of intervention, the adolescents showed a significant improvement of dietary patterns decreasing total energy, total fat and SFA intake (table I).

Concerning plasma lipid levels, the rs662799 SNP of the APOA5 gene was associated with higher levels of HDL-cholesterol at the beginning of the intervention (B = 7.22; TEM = 2.80; p = 0.011) but no differences were found after the intervention. Meanwhile, rs9939609 SNP of the FTO gene was associated with a higher decrease of HDL-cholesterol after the intervention (B = -4.00; TEM = 1.39; p = 0.005), as well as with a higher decrease of apolipoprotein A1 after 10 weeks of the EVASYON intervention (B = -7.88; TEM = 3.10; p = 0.013). On the other hand, rs670 SNP of the APOA1 gene showed an association with apolipoprotein B levels; G allele carriers presented higher baseline apolipoprotein B plasma concentrations and, after 10 weeks of a multidisciplinary intervention, they achieved a greater decrease of the circulating levels of this apolipoprotein.

The four SNPs studied (rs670 of APOA1 gene, rs662799 of APOA5 gene, rs9939609 of FTO gene and rs1800777 of CETP gene), showed a strong association with adiposity indicators, both at the beginning and after 10 weeks of the EVASYON treatment (table II). In particular, SNPs in APOA1 and CETP genes evidenced a significant association with weight and BMI-SDS loss after the intervention (Figure 1A and 1B). Regression analyses studying these effects are showed (table III). Concerning BMI-SDS reduction, both SNPs showed a significant effect (figs. 2A and 2B). Particularly, rs670 of APOA1 gene seemed to explain more than a 20% of this BMI-SDS change after adjusting for age and sex. Moreover, the analysis of the combined effect of both SNPs turned out to explain more than a 24% of BMI-SDS loss after the intervention, with a decrease of 0.24 points of BMI-SDS for each minor allele present in the genotype. Similar results were obtained for weight loss. A combined regression model of APOA1 and CETP was able to explain more than a 14% of weight loss after the intervention. For each minor allele present in the adolescent genotypes, they showed a decrease of -1.4 kg in body weight.

 

Discussion

In this study, we analyzed the contribution of four obesity-related SNPs located in the APOA1, APOA5, FTO and CETP genes to adiposity markers in a Spanish population of overweight and obese adolescents undergoing a multidisciplinary intervention programme for weight loss (EVASYON).

After three months of treatment, the adolescents achieved a significant decrease in adiposity, as well as an improvement in their physical skills and in their metabolic profile. Thus, a significant decrease in leptin, insulin, glucose and C-reactive protein levels, among other parameters, confirmed the effectiveness of the EVASYON project as an overweight/obese adolescent weight loss programme. Similar results were found in a pilot study of the EVASYON programme37.

ApoA1 and ApoA2 are the major protein constituents of HDL-cholesterol. Concerning rs670 SNP of the APOA1 gene, a strong association with weight and BMI-SDS loss after the 10-weeks intervention was found, but there were no significant associations with plasma lipid profile before or after the intervention. In this sense, a study carried out by Xiao et al.38 did not found a relationship between the SNP and plasma HDL-cholesterol levels or CVD in a population of controls and patients with proven CVD. On the other hand, other studies have reported an interaction between the SNP and dietary nutrients on plasma lipid levels and the metabolic syndrome. Thus, Phillips et al., found in a study of metabolic syndrome cases and controls that APOA1 rs670 may influence metabolic syndrome, with G allele homozygotes showing an increased risk of MetS apparently explained by their increased abdominal obesity and impaired insulin sensitivity. Moreover, this association could be modulated by sex and dietary fat composition15. In a similar way, a recent study carried out by Rudkowska et al.39 showed that the rs670 SNP of the APOA1 gene interacted with dietary saturated fat on total cholesterol levels and with dietary total and saturated fat on LDL-cholesterol levels.

As for rs662799 SNP of APOA5 gene, it has been largely associated with the plasma lipid profile40-42. In this study, this SNP has been identified as a significant predictor for plasma HDL-cholesterol concentration, with C allele carriers showing significantly higher HDL-cholesterol levels. However, these results did not in agree with works conducted in East Asian populations41,43. With regards to HDL-cholesterol levels after a weight loss intervention, data from literature is scarce. There are some studies analyzing the effect of the SNP on HDL-cholesterol plasma levels after fenofibrate therapy. Lai et al.44 found that, after drug intervention, both carriers and non-carriers of the rs662799 SNP showed no significant differences in HDL-cholesterol plasma levels and similar results were described by Feitosa et al. shortly after45. However, to our knowledge, no studies concerning HDL-cholesterol levels depending on this SNP have been previously conducted after a multidisciplinary weight loss intervention.

The CETP gene codifies for the cholesteryl ester transfer protein, which facilitates the transport of cholesteryl esters and triglycerides between the lipoproteins and, therefore, participates in plasma lipid level regulation22. Specifically, the rs1800777 SNP of the CETP gene is located within the lipid-binding region and may result in the loss of positive charge, altering binding of CETP to cholesteryl esters. Results concerning the analysis of this SNP are scarce. A study carried out in 2008 by Lu et al. found that, compared with the ancestral allele the rs1800777 SNP of the CETP gene was associated with lower plasma HDL-cholesterol levels46. A meta-analysis also corroborated that a dominant model of the rs1800777 SNP was accompanied by lower levels of plasma HDL-cholesterol22. Our results evidenced that carriers of the rs1800777 of CETP gene showed a strong association with adiposity indexes, both at the beginning and after 10 weeks of the EVASYON treatment, especially with weight and BMI-SDS loss after the intervention. However, to our knowledge, no studies analyzing the effects of this SNP after an intervention have been carried out to date.

Concerning the FTO gene, the rs9939609 SNP has been widely associated with obesity and cardiovascular disease risk47,48, especially during childhood49-51. It has been demonstrated that this SNP also influences weight loss after a weight loss intervention, both in adults and children or adolescents52. With regards to the putative impact of rs9939609 on plasma lipid levels, our study did not shown baseline differences between the carriers and the non-carriers. On the other hand, after the 10-week intervention, A allele carriers of the SNP underwent a significant decrease of HDL-cholesterol whereas adolescents with a TT genotype presented a slightly increase in this plasma biomarker. A study carried out by Freathy et al. found that each copy of the FTO rs9939609 A allele was associated with lower baseline HDL cholesterol levels53. So far, there are no evidences in the literature on the impact that a weight loss intervention may have on HDL plasma cholesterol, in spite of the relationship between FTO gene and lipid metabolism. Most of the studies carried out after an intervention did not found a direct effect of rs9939609 SNP on plasma lipid levels54,55.

One of this study's strength is the analysis of a population of adolescents. This ensures the absence of obesity-associated comorbidities or pharmacological treatments that could mask the results. Moreover, obesity treatment during adolescence should be a priority subject of study, since improvements in obesity at this stage have been demonstrated to lead to maintained changes during adulthood that could decrease the risk of developing obesity-related comorbidities, such as metabolic syndrome56, hypertension57 or even some types of cancer58.

In conclusion, in this study two SNPs in the APOA5 (rs662799) and FTO (rs9939609) genes were associated with HDL-cholesterol plasma levels at baseline and after the intervention, respectively. Moreover, two SNPs in the CETP (rs1800777) and the APOA1 (rs670) genes showed important effects on body weight and adiposity. Specifically, a combined model including both SNPs turned up to explain up to 24% of BMI-SDS change after 10 weeks of the multidisciplinary EVASYON intervention.

 

Acknowledgements

We gratefully acknowledge Amaya Buxens and the Unit of Genetic Analysis of Progenika Biopharma (Parque Tecnológico de Zamudio, Derio, Spain).

 

References

1. Garmy P, Clausson EK, Nyberg P, Jakobsson U. Overweight and television and computer habits in Swedish school-age children and adolescents: A cross-sectional study. Nurs Health Sci 2013; Jun 25.         [ Links ]

2. Waters E, de Silva-Sanigorski A, Hall BJ, Brown T, Campbell KJ, Gao Y, et al. Interventions for preventing obesity in children. Cochrane Database Syst Rev 2011 (12): CD001871.         [ Links ]

3. Baker JL, Farpour-Lambert NJ, Nowicka P, Pietrobelli A, Weiss R. Evaluation of the overweight/obese child-practical tips for the primary health care provider: recommendations from the Childhood Obesity Task Force of the European Association for the Study of Obesity. Obes Facts 2010; 3 (2): 131-7.         [ Links ]

4. Ebbeling CB, Pawlak DB, Ludwig DS. Childhood obesity: public-health crisis, common sense cure. Lancet 2002 Aug 10; 360 (9331): 473-82.         [ Links ]

5. Moreno LA, Ochoa MC, Warnberg J, Marti A, Martinez JA, Marcos A. Treatment of obesity in children and adolescents. How nutrition can work? Int JPediatr Obes 2008; 3 (Supl. 1): 72-7.         [ Links ]

6. Marti A, Martinez JA. Genetics of obesity: gene x nutrient interactions. Int J Vitam Nutr Res 2006 Jul; 76 (4): 184-93.         [ Links ]

7. Bradfield JP, Taal HR, Timpson NJ, Scherag A, Lecoeur C, Warrington NM, et al. A genome-wide association meta-analysis identifies new childhood obesity loci. Nat Genet 2012 May; 44 (5): 526-31.         [ Links ]

8. Day FR, Loos RJ. Developments in obesity genetics in the era of genome-wide association studies. J Nutrigenet Nutrigenomics 2011; 4 (4): 222-38.         [ Links ]

9. Graff M, Gordon-Larsen P, Lim U, Fowke JH, Love SA, Fesin-meyer M, et al. The influence of obesity-related single nucleotide polymorphisms on BMI across the life course: the PAGE study. Diabetes 2013 May; 62 (5): 1763-7.         [ Links ]

10. Juhola J, Oikonen M, Magnussen CG, Mikkila V, Siitonen N, Jokinen E, et al. Childhood physical, environmental, and genetic predictors of adult hypertension: the cardiovascular risk in young Finns study. Circulation 2012 Jul 24; 126 (4): 402-9.         [ Links ]

11. Liu G, Zhu H, Dong Y, Podolsky RH, Treiber FA, Snieder H. Influence of common variants in FTO and near INSIG2 and MC4R on growth curves for adiposity in African- and European-American youth. Eur J Epidemiol 2011 Jun; 26 (6): 463-73.         [ Links ]

12. Luczynski W, Zalewski G, Bossowski A. The association of the FTO rs9939609 polymorphism with obesity and metabolic risk factors for cardiovascular diseases in Polish children. J Physiol Pharmacol 2012 Jun; 63 (3): 241-8.         [ Links ]

13. Moleres A, Rendo-Urteaga T, Azcona C, Martinez JA, Gomez-Martinez S, Ruiz JR, et al. Il6 gene promoter polymorphism (-174G/C) influences the association between fat mass and cardiovascular risk factors. J Physiol Biochem 2009 Dec; 65 (4): 405-13.         [ Links ]

14. Moleres A, Rendo-Urteaga T, Zulet MA, Marcos A, Campoy C, Garagorri JM, et al. Obesity susceptibility loci on body mass index and weight loss in Spanish adolescents after a lifestyle intervention. J Pediatr 2012 Sep; 161 (3): 466-70 e2.         [ Links ]

15. Phillips CM, Goumidi L, Bertrais S, Field MR, McManus R, Hercberg S, et al. Gene-nutrient interactions and gender may modulate the association between ApoA1 and ApoB gene polymorphisms and metabolic syndrome risk. Atherosclerosis 2011 Feb; 214 (2): 408-14.         [ Links ]

16. Vassy JL, Durant NH, Kabagambe EK, Carnethon MR, Rasmussen-Torvik LJ, Fornage M, et al. A genotype risk score predicts type 2 diabetes from young adulthood: the CARDIA study. Diabetologia 2012 Oct; 55 (10): 2604-12.         [ Links ]

17. Vojtkova J, Durdik P, Ciljakova M, Michnova Z, Turcan T, Babusikova E. The association between glutathione S-transferase T1 and M1 gene polymorphisms and cardiovascular autonomic neuropathy in Slovak adolescents with type 1 diabetes mellitus. J Diabetes Complications 2013 Jan-Feb; 27 (1): 44-8.         [ Links ]

18. Xi B, Zhao X, Chandak GR, Shen Y, Cheng H, Hou D, et al. Influence of obesity on association between genetic variants identified by genome-wide association studies and hypertension risk in chinese children. Am J Hypertens 2013 Aug; 26 (8): 990-6.         [ Links ]

19. Agerholm-Larsen B, Tybjaerg-Hansen A, Schnohr P, Steffensen R, Nordestgaard BG. Common cholesteryl ester transfer protein mutations, decreased HDL cholesterol, and possible decreased risk of ischemic heart disease: The Copenhagen City Heart Study. Circulation 2000 Oct 31; 102 (18): 2197-203.         [ Links ]

20. Albahrani AI, Usher JJ, Alkindi M, Marks E, Ranganath L, Al-yahyaee S. ApolipoproteinA1-75 G/A (M1-) polymorphism and lipoprotein(a); anti- vs pro-Atherogenic properties. Lipids Health Dis 2007; 6: 19.         [ Links ]

21. Chien KL, Chen MF, Hsu HC, Su TC, Chang WT, Lee CM, et al. Genetic association study of APOA1/C3/A4/A5 gene cluster and haplotypes on triglyceride and HDL cholesterol in a community-based population. Clin Chim Acta 2008 Feb; 388 (1-2): 78-83.         [ Links ]

22. Thompson A, Di Angelantonio E, Sarwar N, Erqou S, Saleheen D, Dullaart RP, et al. Association of cholesteryl ester transfer protein genotypes with CETP mass and activity, lipid levels, and coronary risk. JAMA 2008 Jun 18; 299 (23): 2777-88.         [ Links ]

23. Tsai MY, Johnson C, Kao WH, Sharrett AR, Arends VL, Kronmal R, et al. Cholesteryl ester transfer protein genetic polymorphisms, HDL cholesterol, and subclinical cardiovascular disease in the Multi-Ethnic Study of Atherosclerosis. Atherosclerosis 2008 Oct; 200 (2): 359-67.         [ Links ]

24. Miles RR, Perry W, Haas JV, Mosior MK, N'Cho M, Wang JW, et al. Genome-wide screen for modulation of hepatic apolipoprotein A-I (ApoA-I) secretion. J Biol Chem 2013 Mar 1; 288 (9): 6386-96.         [ Links ]

25. Sharma V, Ryan RO, Forte TM. Apolipoprotein A-V dependent modulation of plasma triacylglycerol: a puzzlement. Biochim Biophys Acta 2012 May; 1821 (5): 795-9.         [ Links ]

26. Willer CJ, Speliotes EK, Loos RJ, Li S, Lindgren CM, Heid IM, et al. Six new loci associated with body mass index highlight a neuronal influence on body weight regulation. Nat Genet 2009 Jan; 41 (1): 25-34.         [ Links ]

27. Qi L, Kang K, Zhang C, van Dam RM, Kraft P, Hunter D, et al. Fat mass-and obesity-associated (FTO) gene variant is associated with obesity: longitudinal analyses in two cohort studies and functional test. Diabetes 2008 Nov; 57 (11): 3145-51.         [ Links ]

28. Loos RJ, Lindgren CM, Li S, Wheeler E, Zhao JH, Prokopenko I, et al. Common variants near MC4R are associated with fat mass, weight and risk of obesity. Nat Genet 2008 Jun; 40 (6): 768-75.         [ Links ]

29. Akbarzadeh M, Hassanzadeh T, Saidijam M, Esmaeili R, Borzouei S, Hajilooi M, et al. Cholesteryl ester transfer protein (CETP) -629C/A polymorphism and it's effects on the serum lipid levels in metabolic syndrome patients. Mol Biol Rep 2012 Oct; 39 (10): 9529-34.         [ Links ]

30. Cole TJ, Bellizzi MC, Flegal KM, Dietz WH. Establishing a standard definition for child overweight and obesity worldwide: international survey. BMJ 2000 May 6; 320 (7244): 1240-3.         [ Links ]

31. Martinez-Gomez D, Martinez-De-Haro V, Del-Campo J, Zapatera B, Welk GJ, Villagra A, et al. Validity of four questionnaires to assess physical activity in Spanish adolescents. Gac Sanit 2009 Nov-Dec; 23 (6): 512-7.         [ Links ]

32. Martinez-Gomez D, Gomez-Martinez S, Warnberg J, Welk GJ, Marcos A, Veiga OL. Convergent validity of a questionnaire for assessing physical activity in Spanish adolescents with overweight. Med Clin (Barc) 2011 Jan 15; 136 (1): 13-5.         [ Links ]

33. Martin-Moreno JM, Boyle P, Gorgojo L, Maisonneuve P, Fernandez-Rodriguez JC, Salvini S, et al. Development and validation of a food frequency questionnaire in Spain. Int J Epidemiol 1993 Jun; 22 (3): 512-9.         [ Links ]

34. Moreno LA, Mesana MI, Gonzalez-Gross M, Gil CM, Ortega FB, Fleta J, et al. Body fat distribution reference standards in Spanish adolescents: the AVENA Study. Int J Obes (Lond) 2007 Dec; 31 (12): 1798-805.         [ Links ]

35. Tanner JM. Childhood epidemiology. Physical development. Br Med Bull1986 Apr; 42 (2): 131-8.         [ Links ]

36. Dunbar SA. Applications of Luminex xMAP technology for rapid, high-throughput multiplexed nucleic acid detection. Clin Chim Acta 2006 Jan; 363 (1-2): 71-82.         [ Links ]

37. Romeo J, Martinez-Gomez D, Diaz LE, Gomez-Martinez S, Marti A, Martin-Matillas M, et al. Changes in cardiometabolic risk factors, appetite-controlling hormones and cytokines after a treatment program in overweight adolescents: preliminary findings from the EVASYON study. Pediatr Diabetes 2011 Jun; 12 (4 Pt 2): 372-80.         [ Links ]

38. Xiao J, Zhang F, Wiltshire S, Hung J, Jennens M, Beilby JP, et al. The apolipoprotein AII rs5082 variant is associated with reduced risk of coronary artery disease in an Australian male population. Atherosclerosis 2008 Aug; 199 (2): 333-9.         [ Links ]

39. Rudkowska I, Dewailly E, Hegele RA, Boiteau V, Dube-Linteau A, Abdous B, et al. Gene-diet interactions on plasma lipid levels in the Inuit population. Br JNutr 2013 Mar 14; 109 (5): 953-61.         [ Links ]

40. Clifford AJ, Rincon G, Owens JE, Medrano JF, Moshfegh AJ, Baer DJ, et al. Single nucleotide polymorphisms in CETP, SLC46A1, SLC19A1, CD36, BCMO1, APOA5, and ABCA1 are significant predictors of plasma HDL in healthy adults. Lipids Health Dis 2013; 12: 66.         [ Links ]

41. Hishida A, Morita E, Naito M, Okada R, Wakai K, Matsuo K, et al. Associations of apolipoprotein A5 (APOA5), glucokinase (GCK) and glucokinase regulatory protein (GCKR) polymorphisms and lifestyle factors with the risk of dyslipidemia and dysglycemia in Japanese - a cross-sectional data from the J-MICC Study. Endocr J 2012 Jul 31; 59 (7): 589-99.         [ Links ]

42. Rudkowska I, Ouellette C, Dewailly E, Hegele RA, Boiteau V, Dube-Linteau A, et al. Omega-3 fatty acids, polymorphisms and lipid related cardiovascular disease risk factors in the Inuit population. Nutr Metab (Lond) 2013; 10 (1): 26.         [ Links ]

43. Hiramatsu M, Oguri M, Kato K, Horibe H, Fujimaki T, Watanabe S, et al. Synergistic effects of genetic variants of APOA5 and BTN2A1 on dyslipidemia or metabolic syndrome. Int J Mol Med 2012 Jul; 30 (1): 185-92.         [ Links ]

44. Lai CQ, Arnett DK, Corella D, Straka RJ, Tsai MY, Peacock JM, et al. Fenofibrate effect on triglyceride and postprandial response of apolipoprotein A5 variants: the GOLDN study. Arterioscler Thromb Vasc Biol 2007 Jun; 27 (6): 1417-25.         [ Links ]

45. Feitosa MF, An P, Ordovas JM, Ketkar S, Hopkins PN, Straka RJ, et al. Association of gene variants with lipid levels in response to fenofibrate is influenced by metabolic syndrome status. Atherosclerosis 2011 Apr; 215 (2): 435-9.         [ Links ]

46. Lu Y, Dolle ME, Imholz S, van 't Slot R, Verschuren WM, Wijmenga C, et al. Multiple genetic variants along candidate pathways influence plasma high-density lipoprotein cholesterol concentrations. J Lipid Res 2008 Dec; 49 (12): 2582-9.         [ Links ]

47. Liu C, Mou S, Pan C. The FTO Gene rs9939609 Polymorphism Predicts Risk of Cardiovascular Disease: A Systematic Review and Meta-Analysis. PLoS One 2013; 8 (8): e71901.         [ Links ]

48. Magi R, Manning S, Yousseif A, Pucci A, Santini F, Karra E, et al. Contribution of 32 GWAS-Identified Common Variants to Severe Obesity in European Adults Referred for Bariatric Surgery. PLoS One 2013; 8 (8): e70735.         [ Links ]

49. Hallman DM, Friedel VC, Eissa MA, Boerwinkle E, Huber JC, Jr., Harrist RB, et al. The association of variants in the FTO gene with longitudinal body mass index profiles in non-Hispanic white children and adolescents. Int J Obes (Lond) 2012 Jan; 36 (1): 61-8.         [ Links ]

50. Hinney A, Nguyen TT, Scherag A, Friedel S, Bronner G, Muller TD, et al. Genome wide association (GWA) study for early onset extreme obesity supports the role of fat mass and obesity associated gene (FTO) variants. PLoS One 2007; 2 (12): e1361.         [ Links ]

51. Lauria F, Siani A, Bammann K, Foraita R, Huybrechts I, Iacoviello L, et al. Prospective analysis of the association of a common variant of FTO (rs9939609) with adiposity in children: results of the IDEFICS study. PLoS One 2012; 7 (11): e48876.         [ Links ]

52. de Luis DA, Aller R, Conde R, Izaola O, Sagrado MG, Castrodeza Sanz J. The rs9939609 gene variant in FTO modified the metabolic response of weight loss after a 3-month intervention with a hypocaloric diet. J Investig Med 2013 Jan; 61 (1): 22-6.         [ Links ]

53. Freathy RM, Timpson NJ, Lawlor DA, Pouta A, Ben-Shlomo Y, Ruokonen A, et al. Common variation in the FTO gene alters diabetes-related metabolic traits to the extent expected given its effect on BMI. Diabetes 2008 May; 57 (5): 1419-26.         [ Links ]

54. de Luis DA, Aller R, Conde R, Izaola O, de la Fuente B, Gonzalez Sagrado M, et al. [Relation of the rs9939609 gene variant in FTO with cardiovascular risk factor and serum adipokine levels in morbid obese patients]. Nutr Hosp 2012 Jul-Aug; 27 (4): 1184-9.         [ Links ]

55. Muller TD, Hinney A, Scherag A, Nguyen TT, Schreiner F, Schafer H, et al. 'Fat mass and obesity associated' gene (FTO): no significant association of variant rs9939609 with weight loss in a lifestyle intervention and lipid metabolism markers in German obese children and adolescents. BMC Med Genet 2008; 9: 85.         [ Links ]

56. Pimenta AM, Beunza JJ, Sanchez-Villegas A, Bes-Rastrollo M, Martinez-Gonzalez MA. Childhood underweight, weight gain during childhood to adolescence/young adulthood and incidence of adult metabolic syndrome in the SUN (Seguimiento Universidad de Navarra) Project. Public Health Nutr 2011 Jul; 14 (7): 1237-44.         [ Links ]

57. Kanade A, Deshpande S, Patil K, Rao S. Prevalence of high blood pressure among young rural adults in relation to height in childhood and adult body mass index. J Am Coll Nutr 2011 Jun; 30 (3): 216-23.         [ Links ]

58. Fuemmeler BF, Pendzich MK, Tercyak KP. Weight, dietary behavior, and physical activity in childhood and adolescence: implications for adult cancer risk. Obes Facts 2009; 2 (3): 179-86.         [ Links ]

 

 

Correspondence:
Amelia Marti.
Department of Nutrition, Food Science,
Physiology and Toxicology.
University of Navarra.
Irunlarrea, s/n. 31008 Pamplona.
Navarra. Spain.
E-mail: amarti@unav.es

Recibido: 25-IV-2014.
Aceptado: 24-V-2014.

Creative Commons License Todo el contenido de esta revista, excepto dónde está identificado, está bajo una Licencia Creative Commons