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( ) APOC3 : ( ( ( ( ( : e-mail: azizi@endocrine.ac.ir APOC3 rs5128 (C>G) : :. ( :)... :. PCR-RFLP. % C. / HDL CG+GG %/ (SFA) CG+GG. >. %/>SFA /(-/) G %/ (MUFA) - :. CC MUFA SFA G rs5128. C HDL : // : // : // :

, C3. 3' 3U386 APOC3 SNP iii. SstI. Insulin Response Element (IRE) %- G %- % %- % G. APOC3 3238C>G G. APOB APOC3 rs5128 LDL G. iv LDL NCEP v CC. APOC3 APOC3 APOC3 3238C>G rs5128. (nested case-control). TLGS iii - Single Nucleotide Polymorphism iv -Mono-Unsaturated Fatty Acid v -National Cholesterol Education Programe. -. / i... ( ). rs1799983 NOS3 (n3-pufa ii ) n3-pufa. APOA5 APOA5-1131T>C S19W -1131C. S19W. %.. rs7903146 APOC3 q. i -Tehran Lipid and Glucose Study ii -Poly-Unsaturated Fatty Acid

... ii USDA ( ) FFQ.... iii ( ). ()... iv MAQ. - /. ii - United State Department of Agriculture iii -Body Mass Index iv - Modifiable Activity Questionnaire -.. - ( ) - ( ) - ( ). (=) (=). ( ±) ). (. DNA (=) 1.6<A260/A280<2 (=) ± ) (=) (... FFQ i. i - Food Frequency Questionnaire

, bp GG bp. :.. HDL.... BMI STATA(Statistic/Data analysis SPSS. 12.0). /. -. Plink 1.9 ().. ) ( CC/CG+GG MAQ. -..... ( ). % (PCR i ). APOC3 (F:5'- : GGT GAC CGA TGG CTT CAG TT-3'; R:5'-.CAGAAG GTG GAT AGA GCG CT-3') ( Corbet ). ( ) /.. - PCR SacI.. % ( Optico ) DNA CG bp CC. i - Polymerase Chain Reaction

BMI ).(P=/) ).(/ / (%) (%) HDL.( ).(P=/) APOC3 5128 MUFA SFA. rs5128. G HDL. CC CG+GG CC.( ). CC CG+GG CC /(/-/) CG+GG. /(/-/).(P</) CG+GG / / HDL. CC / / HDL ).(P</)(. P. %/ SFA i %/ MUFA. % BMI ) ( ) ( ). (.. Multiplicative interaction BMI ( ) ( ) ( ). CC/CG+GG. BMI. /() :] : /() :] [ /() : [ /() G C. (P=/) % (P=/). i -Saturated Fat

, MUFA CG+GG %/ / /(/-/). %/ MUFA CC -/) %/ / MUFA MUFA /(/.( ) (P</) %/ PUFA.( ). APOC3 rs5128 SFA CG+GG %/ -/) /(-/) %/ SFA /(/. SFA CC/CG+GG (P</).( ) ).( ) ( ) - :( * P / / / / / / </ </ </ </ </ </ </ </ </ </ </ </ </ </ / / / / / / /() /() /() / / / /() () /() () () /() () /() () () () /() () () /() /() /() /() () () () () () /() /() /() / / / /() () /() () () /() () /() () () () /() () () /() /() /() /() () () () () () () (=) ( =) () () () ( ) () () () ( ) ( ) () ( ) HDL () HDL () ( ) () ( ) ( ) ( ) ( ) ( ) () rs5128 C G () rs5128 CC CG GG. P</ *

APOC3 5128 (% ) - P / / / / / /(/-/) /(/-/) /(/-/) /(/-/) /(/-/) /(/-/) /(/-/) /(/-/) /(/-/) /(/-/) < ( SFA (=) CC (=) CG+GG ( ) SFA (=) CC (=) CG+GG ( ) MUFA (=) CC (=) CG+GG ( ) HDL-C (=) CC (=) CG+GG ( ) (=) CC (=) CG+GG * P / / / / / /(/-/) /(/-/) /(/-/) /(/-/) /(/-/) /(/-/) /(/-/) /(/-/) /(/-/) /(/-/) < ( ) SFA ( =) CC ( =) CG+GG ( ) SFA ( =) CC ( =) CG+GG ( ) MUFA ( =) CC ( =) CG+GG ( ) HDL-C ( =) CC ( =) CG+GG ( ) ( =) CC ( =) CG+GG. P</ *

, < < CC () (P</) ( (APOC3 rs5128) CG+GG CC ( (APOC3 rs5128) CG+GG CC HDL-C / / / / / () CG+GG SFA< %/ SFA %/ CC (P</) CG+GG HDL-C / / / / / / / / / CC CC (P</) () CG+GG () SFA< %/ SFA %/ (P</) CG+GG ) () (SFA) - CG+GG CC () (

SNP SNP ( ). HDL.. APOE Ordovas. PUFA.. (CC). (G)... APOC3 CC / / / / / MUFA< %/ MUFA %/ CC - (MUFA) CG+GG CC APOC3 rs5128 Interaction. HDL MUFA SFA.. APOC3 rs5128. GG. G apoc3. CG+GG APOC3/A5

, APOC3 PUFA Rudkowska rs5128 n-3 PUFA G ApoB100 /HDL... - MetS.. SNP. MUFA SFA APOC3 rs5128 G HDL MUFA SFA. C G. References 1. Eckel RH, Alberti KG, Grundy SM, Zimmet PZ. The metabolic syndrome. Lancet 2010; 375: 181-3. 2. Hadaegh F, Shafiee G, Ghasemi A, Sarbakhsh P, Azizi F. Impact of metabolic syndrome, diabetes and prediab etes on cardiovascular events: Tehran lipid and glucose study. Diabetes Res Clin Pract 2010; 87: 342-7. 3. Hadaegh F, Zabetian A, Khalili D, Safarkhani M, Philip T James W, Azizi F. A new approach to compare the pre dictive power of metabolic syndrome defined by a joint interim statement versus its components for incident cardiovascular disease in Middle East Caucasian resid ents in Tehran. J Epidemiol Community Health 2012; 66: 427-32. 4. Hadaegh F, Hasheminia M, Lotfaliany M, Mohebi R, Azizi F, Tohidi M. Incidence of metabolic syndrome over 9 years follow-up; the importance of sex differe nces in the role of insulin resistance and other risk factors. PloS one 2013; 8: e76304. % SFA. % %. SFA. % SNP -. %/ MUFA. G SFA MUFA MUFA.. SFA MUFA. PUFA APOC3 rs5128 PUFA. 5. Phillips CM. Nutrigenetics and metabolic disease: curr ent status and implications for personalised nutrition. Nutrients 2013; 5: 32-57. 6. Lamon-Fava S, Ordovas JM, Schaefer EJ. Estrogen in creases apolipoprotein (apo) A-I secretion in hep G2 cells by modulating transcription of the apo A-I gene promoter. Arterioscler Thromb Vasc Biol 1999; 19: 2960-5. 7. Perez-Jimenez F, Lopez-Miranda J, Gomez P, Velasco MJ, Marin C, Perez-Martinez P, et al. The SstI polymor phism of the apo C-III gene is associated with insulin sensitivity in young men. Diabetologia 2002; 45: 1196-200. 8. Yin RX, Li YY, Lai CQ. Apolipoprotein A1/C3/A5 hap lotypes and serum lipid levels. Lipids Health Dis 2011; 10: 140. 9. Brown S, Ordovas JM, Campos H. Interaction between the APOC3 gene promoter polymorphisms, saturated fat intake and plasma lipoproteins. Atherosclerosis 2003; 170: 307-13. 10. Daneshpour MS, Faam B, Mansournia MA, Hedayati M, Halalkhor S, Mesbah-Namin SA, et al. Haplotype anal

ysis of Apo AI-CIII-AIV gene cluster and lipids level: Tehran Lipid and Glucose Study. Endocrine 2012; 41: 103-10. 11. Olivieri O, Bassi A, Stranieri C, Trabetti E, Martinelli N, Pizzolo F, et al. Apolipoprotein C-III, metabolic syndrome, and risk of coronary artery disease. J Lipid Res 2003; 44: 2374-81. 12. Pollex RL, Ban MR, Young TK, Bjerregaard P, Anand SS, Yusuf S, et al. Association between the -455T>C promoter polymorphism of the APOC3 gene and the metabolic syndrome in a multi-ethnic sample. BMC Med Genet 2007; 8: 80. 13. Lopez-Miranda J, Jansen S, Ordovas JM, Salas J, Marin C, Castro P, et al. Influence of the SstI polymorphism at the apolipoprotein C-III gene locus on the plasma lowdensity-lipoprotein-cholesterol response to dietary mono unsaturated fat. Am J Clin Nutr 1997; 66: 97-103. 14. Azizi F, Ghanbarian A, Momenan AA, Hadaegh F, Mir miran P, Hedayati M, et al. Prevention of non-commun icable disease in a population in nutrition transition: Tehran Lipid and Glucose Study phase II. Trials 2009; 10: 5. 15. McCrory MA, Hajduk CL, Roberts SB. Procedures for screening out inaccurate reports of dietary energy intake. Public Health Nutr 2002; 5: 873-82. 16. Esfahani FH, Asghari G, Mirmiran P, Azizi F. Reprod ucibility and relative validity of food group intake in a food frequency questionnaire developed for the Tehran Lipid and Glucose Study. J Epidemiol 2010; 20: 150-8. 17. Mirmiran P, Esfahani FH, Mehrabi Y, Hedayati M, Azizi F. Reliability and relative validity of an FFQ for nutrients in the Tehran lipid and glucose study. Public Health Nutr 2010; 13: 654-62. 18. Food Composition Table (FCT). food and nutrition information center, United States Department of Ag riculture (USDA); Available from: URL: www.nal.usd a.gov/fnic/foodcomp. 19. Hosseini-Esfahani F, Jessri M, Mirmiran P, Bastan S, Azizi F. Adherence to dietary recommendations and risk of metabolic syndrome: Tehran Lipid and Glucose St udy. Metabolism 2010; 59: 1833-42. 20. Ainsworth BE, Haskell WL, Whitt MC, Irwin ML, Swar tz AM, Strath SJ, et al. Compendium of physical activi ties: an update of activity codes and MET intensities. Med Sci Sports Exerc 2000; 32 Suppl: S498-504. 21. Kriska AM, Knowler WC, LaPorte RE, Drash AL, Wing RR, Blair SN, et al. Development of questionnaire to examine relationship of physical activity and diabetes in Pima Indians. Diabetes Care 1990; 13: 401-11. 22. Momenan AA, Delshad M, Sarbazi N, Rezaei Ghaleh N, Ghanbarian A, Azizi F. Reliability and validity of the Modifiable Activity Questionnaire (MAQ) in an Iranian urban adult population. Arch Iran Med 2012; 15: 279-82. 23. Truett GE, Heeger P, Mynatt RL, Truett AA, Walker JA, Warman ML. Preparation of PCR-quality mouse gen omic DNA with hot sodium hydroxide and tris (Hot SHOT). Biotechniques 2000; 29: 52, 4. 24. Azizi F, Hadaegh F, Khalili D, Esteghamati A, Hosseinpanah F, Delavari A, et al. Appropriate definition of metabolic syndrome among Iranian adults: report of the Iranian National Committee of Obesity. Arch Iran Med 2010; 13: 426-8. 25. Grundy SM, Hansen B, Smith SC Jr, Cleeman JI, Kahn RA. Clinical management of metabolic syndrome: report of the American Heart Association/National Heart, Lung, and Blood Institute/American Diabetes Assoc iation conference on scientific issues related to mana gement. Arterioscler Thromb Vasc Biol 2004; 24: e19-24. 26. Bhanushali AA, Das BR. Influence of genetic variants in the apolipoprotein A5 and C3 gene on lipids, lipopr oteins, and its association with coronary artery disease in Indians. J Community Genet 2010; 1: 139-48. 27. Russo GT, Meigs JB, Cupples LA, Demissie S, Otvos JD, Wilson PW, et al. Association of the Sst-I polymorp hism at the APOC3 gene locus with variations in lipid levels, lipoprotein subclass profiles and coronary heart disease risk: the Framingham offspring study. Atheros clerosis 2001; 158: 173-81. 28. Hallman DM, Srinivasan SR, Chen W, Boerwinkle E, Berenson GS. Longitudinal analysis of haplotypes and polymorphisms of the APOA5 and APOC3 genes assoc iated with variation in serum triglyceride levels: the Bogalusa Heart Study. Metabolism 2006; 55: 1574-81. 29. Talmud PJ, Hawe E, Martin S, Olivier M, Miller GJ, Rubin EM, et al. Relative contribution of variation within the APOC3/A4/A5 gene cluster in determining plasma triglycerides. Hum Mol Genet 2002; 11: 3039-46. 30. Phillips CM, Goumidi L, Bertrais S, Field MR, McM anus 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; 214: 408-14. 31. Phillips CM, Goumidi L, Bertrais S, Field MR, McM anus R, Hercberg S, et al. Dietary saturated fat, gender and genetic variation at the TCF7L2 locus predict the development of metabolic syndrome. J Nutr Biochem 2012; 23: 239-44. 32. Ordovas JM. Gender, a significant factor in the cross talk between genes, environment, and health. Gend Med 2007; 4 Suppl B: S111-22. 33. Qi Q, Chu AY, Kang JH, Huang J, Rose LM, Jensen MK, et al. Fried food consumption, genetic risk, and body mass index: gene-diet interaction analysis in three US cohort studies. BMJ 2014; 348: g1610. 34. Hosseini-Esfahani F, Mirmiran P, Daneshpour MS, Me hrabi Y, Hedayati M, Zarkesh M, et al. Western dietary pattern interact with APOC3 polymorphism on the risk of metabolic syndrome: Tehran Lipid and Glucose St udy. J Nutrigenetcs Nutrigenomics 2014; 7: 105-17. 35. Phillips CM, Goumidi L, Bertrais S, Field MR, Cupples LA, Ordovas JM, et al. ACC2 gene polymorphisms, metabolic syndrome, and gene-nutrient interactions with dietary fat. J Lipid Res 2010; 51: 3500-7. 36. 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: 26.

Vol 16 No.5 December, 2014 January,2015 Iranian Journal of Endocrinology and Metabolism / 388 Original Article Interaction of APOC3 Polymorphism and Dietary Fats on the Risk of Metabolic Syndrome Hosseini-Esfahani F 1, Daneshpour M 2, Hedayati M 2, Mirmiran P 3, Mehrabi Y 4, Azizi F 5 1 Nutrition and Endocrine Research Center, Obesity Research Center, & 2 Cellular Molecular and Endocrine Research Center, Research Institute for Endocrine Sciences, & 3 Faculty of Nutrition Sciences and Food Technology, National Nutrition and Food Technology Research Institute, & 4 Department of Epidemiology, Faculty of Public Health, & 5 Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, I.R. Iran e-mail: azizi@endocrine.ac.ir Received: 14/07/2014 Accepted: 19/10/2014 Abstract Introduction: The aim of this study was to evaluate the interaction between dietary fatty acids and the genetic variant of APOC3 rs5128 3238C>G in relation to metabolic syndrome (MetS) components in adults. Materials and Methods: In this matched nested case-control study, 755 MetS subjects and 755 controls were selected from among participants of the Tehran Lipid and Glucose Study. Dietary intake was determined using a valid and reliable food frequency questionnaire. APOC3 was genotyped by the conventional polymerase chain reaction and restriction fragment length polymorphism. Results: Mean ages of men and women were not different in cases and controls. The frequency of C allele was 81%, which did not differ in cases and controls or in men and women. Compared to CC genotype, low HDL-C risk was increased in women with the CG+GG genotypes and with cholesterol intakes 208 mg/day (OR: 1.93). In men with the CG+GG genotypes and saturated fatty acid (SFA) intakes 9.8% of energy, OR of high diastolic blood pressure (BP) was 2.15(1-1.46), compared to individuals with SFA intake <9.8% of energy and CC genotype. Compared to the CC genotype, the risk of high diastolic BP was higher in men carrying the G allele and consuming mono-unsaturated fatty acid (MUFA) intakes 9.4% of energy. Conclusions: Results demonstrate a nutri-genetic interaction between rs5128 and fat intakes in relation to components of MetS; individuals with G allele carriers and higher intakes of cholesterol, MUFA or SFA had higher risk of low HDL-C and hypertension than the CC genotype. Keywords: Metabolic Syndrome, Polymorphism, Fatty acid intakes