title: ADIPOQ polymorphisms, monounsaturated fatty acids, and obesity risk: the GOLDN study.
abstract: Serum adiponectin levels have been positively associated with insulin sensitivity and are decreased in type 2 diabetes (T2D) and obesity. Genetic and environmental factors influence serum adiponectin and may contribute to risk of metabolic syndrome and T2D. Therefore, we investigated the effect of ADIPOQ single-nucleotide polymorphisms (SNPs), -11377C>G and -11391G>A, on metabolic-related traits, and their modulation by dietary fat in white Americans. Data were collected from 1,083 subjects participating in the Genetics of Lipid Lowering Drugs and Diet Network study. Mean serum adiponectin concentration was higher for carriers of the -11391A allele (P = 0.001) but lower for the -11377G allele carriers (P = 0.017). Moreover, we found a significant association with obesity traits for the -11391G>A SNP. Carriers of the -11391A allele had significantly lower weight (P = 0.029), BMI (P = 0.019), waist (P = 0.003), and hip circumferences (P = 0.004) compared to noncarriers. Interestingly, the associations of the -11391G>A with BMI and obesity risk were modified by monounsaturated fatty acids (MUFAs) intake (P-interaction = 0.021 and 0.034 for BMI and obesity risk, respectively). In subjects with MUFA intake above the median (> or =13% of energy intake), -11391A carriers had lower BMI (27.1 kg/m(2) for GA+AA vs. 29.1 kg/m(2) for GG, P = 0.002) and decreased obesity risk (odds ratio for -11391A = 0.52, 95% confidence interval (CI); 0.28-0.96; P = 0.031). However, we did not detect genotype-related differences for BMI or obesity in subjects with MUFA intake <13%. Our findings support a significant association between the -11391G>A SNPs and obesity-related traits and the potential to moderate such effects using dietary modification.
authors.affiliation: JM-USDA Human Nutrition Research Center on Aging at Tufts University, Boston, Massachusetts, USA.
authors.forename: Daruneewan
authors.initials: D
authors.lastname: Warodomwichit
authors.forename: Jian
authors.initials: J
authors.lastname: Shen
authors.forename: Donna K
authors.initials: DK
authors.lastname: Arnett
authors.forename: Michael Y
authors.initials: MY
authors.lastname: Tsai
authors.forename: Edmond K
authors.initials: EK
authors.lastname: Kabagambe
authors.forename: James M
authors.initials: JM
authors.lastname: Peacock
authors.forename: James E
authors.initials: JE
authors.lastname: Hixson
authors.forename: Robert J
authors.initials: RJ
authors.lastname: Straka
authors.forename: Michael A
authors.initials: MA
authors.lastname: Province
authors.forename: Ping
authors.initials: P
authors.lastname: An
authors.forename: Chao-Qiang
authors.initials: CQ
authors.lastname: Lai
authors.forename: Laurence D
authors.initials: LD
authors.lastname: Parnell
authors.forename: Ingrid B
authors.initials: IB
authors.lastname: Borecki
authors.forename: Jose M
authors.initials: JM
authors.lastname: Ordovas
mesh_terms: D052242:Adiponectin / Q000097:blood / Q000235:genetics*; D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D000483:Alleles; D015992:Body Mass Index; D004042:Dietary Fats, Unsaturated / Q000378:metabolism; D005229:Fatty Acids, Monounsaturated / Q000378:metabolism*; D005260:Female; D020022:Genetic Predisposition to Disease / Q000235:genetics; D005838:Genotype; D006306:Health Surveys; D006801:Humans; D008297:Male; D008875:Middle Aged; D009765:Obesity / Q000453:epidemiology* / Q000378:metabolism*; D020641:Polymorphism, Single Nucleotide / Q000235:genetics*; D012307:Risk Factors; D055815:Young Adult
chemical_list: D052242:Adiponectin; D004042:Dietary Fats, Unsaturated; D005229:Fatty Acids, Monounsaturated