Literature DB >> 17616777

Variants of the peroxisome proliferator-activated receptor gamma- and beta-adrenergic receptor genes are associated with measures of compensatory eating behaviors in young children.

Joanne E Cecil1, Colin N A Palmer, Bettina Fischer, Peter Watt, Deborah J Wallis, Inez Murrie, Marion M Hetherington.   

Abstract

BACKGROUND: Young children can regulate energy precisely in the short term, showing the potential for an innate compensation mechanism of eating behavior. However, data suggest that precise compensation is attenuated as a function of increasing adiposity, parental feeding style, and age. Common variation in candidate obesity genes may account for some of the individual variation observed in short-term energy compensation. Polymorphisms in the peroxisome proliferator-activated receptor gamma (PPARG) and beta-adrenergic receptor (ADRB3) genes have been linked to increased body mass index (BMI; in kg/m(2)), obesity, and more recently dietary nutrients and preferences. In addition, common variation in ADRB3 interacts with PPARG to modulate adult body weight.
OBJECTIVE: This study investigated whether variants in these genes were associated with measurable effects on child eating behavior.
DESIGN: Children (n=84) aged 4-10 y were prospectively selected for variants of the PPARG locus (Pro12Ala, C1431T). Heights and weights were measured. Energy intake from a test meal was measured 90 min after ingestion of a no-energy (NE), low-energy (LE), or high-energy (HE) preload, and the compensation index (COMPX) was calculated.
RESULTS: BMI differed significantly by gene model, whereby Pro12Ala was associated with a lower BMI. Poor COMPX was associated with the PPARG T1431 allele (P=0.009). There was a significant interaction between COMPX and the ADRB3 Trp64Arg variant in modulating compensation (P=0.003), whereas the Arg64 allele was associated with good compensation (P=0.001).
CONCLUSIONS: This is the first study to suggest that a genetic interaction involving ADRB3 and PPARG variants influences eating behavior in children.

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Year:  2007        PMID: 17616777     DOI: 10.1093/ajcn/86.1.167

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


  8 in total

1.  HTR1B, ADIPOR1, PPARGC1A, and CYP19A1 and obesity in a cohort of Caucasians and African Americans: an evaluation of gene-environment interactions and candidate genes.

Authors:  Todd L Edwards; Digna R Velez Edwards; Raquel Villegas; Sarah S Cohen; Maciej S Buchowski; Jay H Fowke; David Schlundt; Jirong Long; Ji Rong Long; Qiuyin Cai; Wei Zheng; Xiao-Ou Shu; Margaret K Hargreaves; Jeffrey Smith; Smith Jeffrey; Scott M Williams; Lisa B Signorello; William J Blot; Charles E Matthews
Journal:  Am J Epidemiol       Date:  2011-11-20       Impact factor: 4.897

2.  Impact of adiposity, age, sex and maternal feeding practices on eating in the absence of hunger and caloric compensation in preschool children.

Authors:  E Remy; S Issanchou; C Chabanet; V Boggio; S Nicklaus
Journal:  Int J Obes (Lond)       Date:  2015-03-17       Impact factor: 5.095

3.  Genetic influences on blood lipids and cardiovascular disease risk: tools for primary prevention.

Authors:  José M Ordovas
Journal:  Am J Clin Nutr       Date:  2009-04-01       Impact factor: 7.045

4.  Caloric compensation and eating in the absence of hunger in 5- to 12-y-old weight-discordant siblings.

Authors:  Tanja V E Kral; David B Allison; Leann L Birch; Virginia A Stallings; Reneé H Moore; Myles S Faith
Journal:  Am J Clin Nutr       Date:  2012-08-01       Impact factor: 7.045

Review 5.  Synergizing Mouse and Human Studies to Understand the Heterogeneity of Obesity.

Authors:  Penny Gordon-Larsen; John E French; Naima Moustaid-Moussa; Venkata S Voruganti; Elizabeth J Mayer-Davis; Christopher A Bizon; Zhiyong Cheng; Delisha A Stewart; John W Easterbrook; Saame Raza Shaikh
Journal:  Adv Nutr       Date:  2021-10-01       Impact factor: 11.567

6.  Maternal perception of the causes and consequences of sibling differences in eating behaviour.

Authors:  L Webber; L Cooke; J Wardle
Journal:  Eur J Clin Nutr       Date:  2010-08-18       Impact factor: 4.016

Review 7.  Formalising recall by genotype as an efficient approach to detailed phenotyping and causal inference.

Authors:  Laura J Corbin; Vanessa Y Tan; David A Hughes; Kaitlin H Wade; Dirk S Paul; Katherine E Tansey; Frances Butcher; Frank Dudbridge; Joanna M Howson; Momodou W Jallow; Catherine John; Nathalie Kingston; Cecilia M Lindgren; Michael O'Donavan; Stephen O'Rahilly; Michael J Owen; Colin N A Palmer; Ewan R Pearson; Robert A Scott; David A van Heel; John Whittaker; Tim Frayling; Martin D Tobin; Louise V Wain; George Davey Smith; David M Evans; Fredrik Karpe; Mark I McCarthy; John Danesh; Paul W Franks; Nicholas J Timpson
Journal:  Nat Commun       Date:  2018-02-19       Impact factor: 14.919

Review 8.  Converging Relationships of Obesity and Hyperuricemia with Special Reference to Metabolic Disorders and Plausible Therapeutic Implications.

Authors:  Min Gong; Song Wen; Thiquynhnga Nguyen; Chaoxun Wang; Jianlan Jin; Ligang Zhou
Journal:  Diabetes Metab Syndr Obes       Date:  2020-03-30       Impact factor: 3.168

  8 in total

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