Literature DB >> 20032495

Gene-nutrient interactions in the metabolic syndrome: single nucleotide polymorphisms in ADIPOQ and ADIPOR1 interact with plasma saturated fatty acids to modulate insulin resistance.

Jane F Ferguson1, Catherine M Phillips, Audrey C Tierney, Pablo Pérez-Martínez, Catherine Defoort, Olfa Helal, Denis Lairon, Richard Planells, Danielle I Shaw, Julie A Lovegrove, Ingrid Mf Gjelstad, Christian A Drevon, Ellen E Blaak, Wim Hm Saris, Iwona Leszczynska-Golabek, Beata Kiec-Wilk, Ulf Risérus, Brita Karlström, José Lopez- Miranda, Helen M Roche.   

Abstract

BACKGROUND: Progression of the metabolic syndrome (MetS) is determined by genetic and environmental factors. Gene-environment interactions may be important in modulating the susceptibility to the development of MetS traits.
OBJECTIVE: Gene-nutrient interactions were examined in MetS subjects to determine interactions between single nucleotide polymorphisms (SNPs) in the adiponectin gene (ADIPOQ) and its receptors (ADIPOR1 and ADIPOR2) and plasma fatty acid composition and their effects on MetS characteristics.
DESIGN: Plasma fatty acid composition, insulin sensitivity, plasma adiponectin and lipid concentrations, and ADIPOQ, ADIPOR1, and ADIPOR2 SNP genotypes were determined in a cross-sectional analysis of 451 subjects with the MetS who participated in the LIPGENE (Diet, Genomics, and the Metabolic Syndrome: an Integrated Nutrition, Agro-food, Social, and Economic Analysis) dietary intervention study and were repeated in 1754 subjects from the LIPGENE-SU.VI.MAX (SUpplementation en VItamines et Minéraux AntioXydants) case-control study (http://www.ucd.ie/lipgene).
RESULTS: Single SNP effects were detected in the cohort. Triacylglycerols, nonesterified fatty acids, and waist circumference were significantly different between genotypes for 2 SNPs (rs266729 in ADIPOQ and rs10920533 in ADIPOR1). Minor allele homozygotes for both of these SNPs were identified as having degrees of insulin resistance, as measured by the homeostasis model assessment of insulin resistance, that were highly responsive to differences in plasma saturated fatty acids (SFAs). The SFA-dependent association between ADIPOR1 rs10920533 and insulin resistance was replicated in cases with MetS from a separate independent study, which was an association not present in controls.
CONCLUSIONS: A reduction in plasma SFAs could be expected to lower insulin resistance in MetS subjects who are minor allele carriers of rs266729 in ADIPOQ and rs10920533 in ADIPOR1. Personalized dietary advice to decrease SFA consumption in these individuals may be recommended as a possible therapeutic measure to improve insulin sensitivity. This trial was registered at clinicaltrials.gov as NCT00429195.

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Year:  2009        PMID: 20032495     DOI: 10.3945/ajcn.2009.28255

Source DB:  PubMed          Journal:  Am J Clin Nutr        ISSN: 0002-9165            Impact factor:   7.045


  26 in total

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4.  The Evolution of Personalized Nutrition-From Addis, Pauling, and RJ Williams to the Future.

Authors:  Jeffrey S Bland
Journal:  Integr Med (Encinitas)       Date:  2019-12

5.  Gene-gene and gene-environment interactions detected by transcriptome sequence analysis in twins.

Authors:  Alfonso Buil; Andrew Anand Brown; Tuuli Lappalainen; Ana Viñuela; Matthew N Davies; Hou-Feng Zheng; J Brent Richards; Daniel Glass; Kerrin S Small; Richard Durbin; Timothy D Spector; Emmanouil T Dermitzakis
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6.  Single nucleotide polymorphisms at the ADIPOQ gene locus interact with age and dietary intake of fat to determine serum adiponectin in subjects at risk of the metabolic syndrome.

Authors:  Aseel AlSaleh; Sandra D O'Dell; Gary S Frost; Bruce A Griffin; Julie A Lovegrove; Susan A Jebb; Thomas A B Sanders
Journal:  Am J Clin Nutr       Date:  2011-05-11       Impact factor: 7.045

7.  Causal relationship between adiponectin and metabolic traits: a Mendelian randomization study in a multiethnic population.

Authors:  Andrew Mente; David Meyre; Matthew B Lanktree; Mahyar Heydarpour; A Darlene Davis; Ruby Miller; Hertzel Gerstein; Robert A Hegele; Salim Yusuf; Sonia S Anand
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8.  Association of ADIPOQ gene variants with body weight, type 2 diabetes and serum adiponectin concentrations: the Finnish Diabetes Prevention Study.

Authors:  Niina Siitonen; Leena Pulkkinen; Jaana Lindström; Marjukka Kolehmainen; Johan G Eriksson; Mika Venojärvi; Pirjo Ilanne-Parikka; Sirkka Keinänen-Kiukaanniemi; Jaakko Tuomilehto; Matti Uusitupa
Journal:  BMC Med Genet       Date:  2011-01-10       Impact factor: 2.103

9.  Mechanisms of obesity-induced inflammation and insulin resistance: insights into the emerging role of nutritional strategies.

Authors:  Maeve A McArdle; Orla M Finucane; Ruth M Connaughton; Aoibheann M McMorrow; Helen M Roche
Journal:  Front Endocrinol (Lausanne)       Date:  2013-05-10       Impact factor: 5.555

Review 10.  Nutrigenetics and metabolic disease: current status and implications for personalised nutrition.

Authors:  Catherine M Phillips
Journal:  Nutrients       Date:  2013-01-10       Impact factor: 5.717

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