Variants of the Peroxisome Proliferator-activated Receptor Gamma- and Beta-adrenergic Receptor Genes Are Associated with Measures of Compensatory Eating Behaviors in Young Children
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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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Gordon-Larsen P, French J, Moustaid-Moussa N, Voruganti V, Mayer-Davis E, Bizon C Adv Nutr. 2021; 12(5):2023-2034.
PMID: 33885739 PMC: 8483969. DOI: 10.1093/advances/nmab040.
Gong M, Wen S, Nguyen T, Wang C, Jin J, Zhou L Diabetes Metab Syndr Obes. 2020; 13:943-962.
PMID: 32280253 PMC: 7125338. DOI: 10.2147/DMSO.S232377.
Corbin L, Tan V, Hughes D, Wade K, Paul D, Tansey K Nat Commun. 2018; 9(1):711.
PMID: 29459775 PMC: 5818506. DOI: 10.1038/s41467-018-03109-y.
Remy E, Issanchou S, Chabanet C, Boggio V, Nicklaus S Int J Obes (Lond). 2015; 39(6):925-30.
PMID: 25777357 DOI: 10.1038/ijo.2015.30.
Kral T, Allison D, Birch L, Stallings V, Moore R, Faith M Am J Clin Nutr. 2012; 96(3):574-83.
PMID: 22854400 PMC: 3417216. DOI: 10.3945/ajcn.112.037952.