Literature DB >> 17495181

Peroxisome proliferator-activated receptor gamma 2 and acyl-CoA synthetase 5 polymorphisms influence diet response.

Kristi B Adamo1, Robert Dent, Carl D Langefeld, Miranda Cox, Kathryn Williams, Kevin M Carrick, Joan S Stuart, Scott S Sundseth, Mary-Ellen Harper, Ruth McPherson, Frédérique Tesson.   

Abstract

Peroxisome proliferator-activated receptor gamma (PPARgamma) and its response gene, Acyl CoA synthetase 5 (ACSL5), which has an important role in fatty acid metabolism, may affect weight loss in response to caloric restriction. Therefore, we aimed to determine whether these genes were involved in the interindividual response to dietary treatment. Genotypic/phenotypic comparisons were made between selected obese women from the quintiles losing the most (diet responsive, n = 74) and the quintiles losing the least (diet-resistant, n = 67) weight in the first 6 weeks of a 900-kcal formula diet. Two common PPARgamma single nucleotide polymorphisms, Pro(12)Ala and C1431T, and eight polymorphisms across the ACSL5 gene were selected for single locus and haplotypic association analyses. The PPARgamma Pro(12)Ala single nucleotide polymorphism was associated with diet resistance (odds ratio = 3.48, 95% confidence interval = 1.41 to 8.56, p = 0.03), and the rs2419621, located in the 5'untranslated region of the ACSL5 gene, displayed the strongest association with diet response (odds ratio = 3.45, 95% confidence interval = 1.61 to 7.69, p = 0.001). Skeletal muscle ACSL5 mRNA expression was significantly lower in carriers of the wildtype compared with the variant rs2419621 allele (p = 0.03). Our results suggest a link between PPARgamma2 and ACSL5 genotype and diet responsiveness.

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Year:  2007        PMID: 17495181     DOI: 10.1038/oby.2007.630

Source DB:  PubMed          Journal:  Obesity (Silver Spring)        ISSN: 1930-7381            Impact factor:   5.002


  23 in total

1.  Habitual physical activity and plasma metabolomic patterns distinguish individuals with low vs. high weight loss during controlled energy restriction.

Authors:  Brian D Piccolo; Nancy L Keim; Oliver Fiehn; Sean H Adams; Marta D Van Loan; John W Newman
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2.  Functional characterization of a promoter polymorphism that drives ACSL5 gene expression in skeletal muscle and associates with diet-induced weight loss.

Authors:  Allen C T Teng; Kristi Adamo; Frédérique Tesson; Alexandre F R Stewart
Journal:  FASEB J       Date:  2009-02-13       Impact factor: 5.191

3.  Molecular cloning of the goose ACSL3 and ACSL5 coding domain sequences and their expression characteristics during goose fatty liver development.

Authors:  H He; H H Liu; J W Wang; J Lv; L Li; Z X Pan
Journal:  Mol Biol Rep       Date:  2014-01-28       Impact factor: 2.316

Review 4.  Interaction between Pro12Ala polymorphism of PPARγ2 and diet on adiposity phenotypes.

Authors:  Emanuela Lapice; Olga Vaccaro
Journal:  Curr Atheroscler Rep       Date:  2014-12       Impact factor: 5.113

5.  PPARγ Pro12Ala interacts with fat intake for obesity and weight loss in a behavioural treatment based on the Mediterranean diet.

Authors:  Marta Garaulet; Caren E Smith; Teresa Hernández-González; Yu-Chi Lee; Jose M Ordovás
Journal:  Mol Nutr Food Res       Date:  2011-11-21       Impact factor: 5.914

6.  Long-chain acyl-CoA synthetase 6 regulates lipid synthesis and mitochondrial oxidative capacity in human and rat skeletal muscle.

Authors:  Bruno G Teodoro; Igor H Sampaio; Lucas H M Bomfim; André L Queiroz; Leonardo R Silveira; Anderson O Souza; Anna M A P Fernandes; Marcos N Eberlin; Tai-Yu Huang; Donghai Zheng; P Darrell Neufer; Ronald N Cortright; Luciane C Alberici
Journal:  J Physiol       Date:  2016-11-08       Impact factor: 5.182

7.  Hepatic long-chain acyl-CoA synthetase 5 mediates fatty acid channeling between anabolic and catabolic pathways.

Authors:  So Young Bu; Douglas G Mashek
Journal:  J Lipid Res       Date:  2010-08-26       Impact factor: 5.922

8.  Relationships of dietary patterns with body composition in older adults differ by gender and PPAR-γ Pro12Ala genotype.

Authors:  Amy L Anderson; Tamara B Harris; Denise K Houston; Frances A Tylavsky; Jung Sun Lee; Deborah E Sellmeyer; Nadine R Sahyoun
Journal:  Eur J Nutr       Date:  2010-02-21       Impact factor: 5.614

Review 9.  The importance of gene-environment interactions in human obesity.

Authors:  Hudson Reddon; Jean-Louis Guéant; David Meyre
Journal:  Clin Sci (Lond)       Date:  2016-09-01       Impact factor: 6.124

10.  Implications of gene-behavior interactions: prevention and intervention for obesity.

Authors:  Molly S Bray
Journal:  Obesity (Silver Spring)       Date:  2008-12       Impact factor: 5.002

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