The gene-diet interaction, LPL PvuII and HindIII and carbohydrate, on the criteria of metabolic syndrome: KMSRI-Seoul Study.
OBJECTIVE
The objective of this study was to investigate the effects of the interaction between lipoprotein lipase (LPL) PvuII and HindIII haplotypes and carbohydrate intakes on the components of metabolic syndrome (MetSyn) in Koreans.


METHODS
LPL PvuII and HindIII genotype, LPL mass, triglyceride, high-density lipoprotein cholesterol, blood pressure (BP), waist circumference (WC), insulin, and Homeostasis Model of Assessment - Insulin Resistance were determined using a cross-sectional design in 269 controls and 280 MetSyn patients.


RESULTS
LPL mass was significantly lower in patients with PvuII and HindIII mutant alleles (P2 and H2) and decreased as the number of MetSyn components increased in all PvuII and HindIII haplotypes. Both LPL mass-adjusted WC and systolic BP (SBP) were positively associated with a ratio of percent energy from carbohydrate to percent energy from fat in individuals with P2H2 haplotype. After adjustment for age, sex, and LPL mass, the odds ratio (OR) for excessive WC was higher in carriers of P2H2 in the highest carbohydrate intake tertile compared with carriers of P1H1 in the lowest carbohydrate intake tertile (OR, 6.94; 95% confidence interval [CI], 1.39-34.62). Moreover, the OR for high SBP were higher in carriers of P1H2/P2H1 in the highest carbohydrate intake tertile (OR, 7.84; 95% CI, 1.79-34.46) and in carriers of P2H2 in the highest carbohydrate intake tertile (OR, 4.24; 95% CI, 1.16-15.48) than P1H1 carriers.


CONCLUSIONS
This study suggests that P2H2 carriers in the highest carbohydrate intake tertile may be at risk for MetSyn because they had increased odds of excessive WC and high SBP.
School of Human Ecology, Nutrition and Dietetics Program, Louisiana Tech University, Ruston, LA, USA.
Yeonsoo
Y
Kim
Myoungsook
M
Lee
Yunsook
Y
Lim
Yangsoo
Y
Jang
Hye Kyung
HK
Park
Yunkyoung
Y
Lee
D000328:Adult; D000368:Aged; D000483:Alleles; D044466:Asian People / Q000235:genetics; D001786:Blood Glucose / Q000378:metabolism; D001794:Blood Pressure; D008076:Cholesterol, HDL / Q000097:blood; D003430:Cross-Sectional Studies; D004032:Diet; D004040:Dietary Carbohydrates / Q000008:administration & dosage*; D005215:Fasting; D005260:Female; D059647:Gene-Environment Interaction; D020022:Genetic Predisposition to Disease; D006239:Haplotypes; D006706:Homeostasis; D006801:Humans; D007333:Insulin Resistance; D008071:Lipoprotein Lipase / Q000097:blood* / Q000235:genetics; D016015:Logistic Models; D008297:Male; D024821:Metabolic Syndrome / Q000235:genetics*; D008875:Middle Aged; D015596:Nutrition Assessment; D009749:Nutrition Surveys; D011110:Polymorphism, Genetic; D056910:Republic of Korea; D014280:Triglycerides / Q000097:blood; D055105:Waist Circumference
D001786:Blood Glucose; D008076:Cholesterol, HDL; D004040:Dietary Carbohydrates; D014280:Triglycerides; D008071:Lipoprotein Lipase
Carbohydrate intakes; HindIII; LPL polymorphism; Metabolic syndrome components; PvuII