Literature DB >> 27994159

Genetic risk for obesity predicts nucleus accumbens size and responsivity to real-world food cues.

Kristina M Rapuano1, Amanda L Zieselman2, William M Kelley2, James D Sargent3,4, Todd F Heatherton2,3, Diane Gilbert-Diamond3,5.   

Abstract

Obesity is a major public health concern that involves an interaction between genetic susceptibility and exposure to environmental cues (e.g., food marketing); however, the mechanisms that link these factors and contribute to unhealthy eating are unclear. Using a well-known obesity risk polymorphism (FTO rs9939609) in a sample of 78 children (ages 9-12 y), we observed that children at risk for obesity exhibited stronger responses to food commercials in the nucleus accumbens (NAcc) than children not at risk. Similarly, children at a higher genetic risk for obesity demonstrated larger NAcc volumes. Although a recessive model of this polymorphism best predicted body mass and adiposity, a dominant model was most predictive of NAcc size and responsivity to food cues. These findings suggest that children genetically at risk for obesity are predisposed to represent reward signals more strongly, which, in turn, may contribute to unhealthy eating behaviors later in life.

Entities:  

Keywords:  brain morphometry; fMRI; genetic risk; obesity; reward

Mesh:

Substances:

Year:  2016        PMID: 27994159      PMCID: PMC5224374          DOI: 10.1073/pnas.1605548113

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  42 in total

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5.  An obesity-associated FTO gene variant and increased energy intake in children.

Authors:  Joanne E Cecil; Roger Tavendale; Peter Watt; Marion M Hetherington; Colin N A Palmer
Journal:  N Engl J Med       Date:  2008-12-11       Impact factor: 91.245

6.  FTO Obesity Variant Circuitry and Adipocyte Browning in Humans.

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Journal:  N Engl J Med       Date:  2015-08-19       Impact factor: 91.245

7.  An obesity-associated risk allele within the FTO gene affects human brain activity for areas important for emotion, impulse control and reward in response to food images.

Authors:  Lyle Wiemerslage; Emil K Nilsson; Linda Solstrand Dahlberg; Fia Ence-Eriksson; Sandra Castillo; Anna L Larsen; Simon B A Bylund; Pleunie S Hogenkamp; Gaia Olivo; Marcus Bandstein; Olga E Titova; Elna-Marie Larsson; Christian Benedict; Samantha J Brooks; Helgi B Schiöth
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Authors:  Yi-Cheng Chang; Pi-Hua Liu; Wei-Jei Lee; Tien-Jyun Chang; Yi-Der Jiang; Hung-Yuan Li; Shan-Shan Kuo; Kuang-Chin Lee; Lee-Ming Chuang
Journal:  Diabetes       Date:  2008-05-16       Impact factor: 9.461

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  36 in total

1.  Learning one's genetic risk changes physiology independent of actual genetic risk.

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2.  Good practice in food-related neuroimaging.

Authors:  Paul A M Smeets; Alain Dagher; Todd A Hare; Stephanie Kullmann; Laura N van der Laan; Russell A Poldrack; Hubert Preissl; Dana Small; Eric Stice; Maria G Veldhuizen
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3.  Reward-related regions form a preferentially coupled system at rest.

Authors:  Jeremy F Huckins; Babatunde Adeyemo; Fran M Miezin; Jonathan D Power; Evan M Gordon; Timothy O Laumann; Todd F Heatherton; Steven E Petersen; William M Kelley
Journal:  Hum Brain Mapp       Date:  2018-09-25       Impact factor: 5.038

4.  Integration of Sweet Taste and Metabolism Determines Carbohydrate Reward.

Authors:  Maria Geraldine Veldhuizen; Richard Keith Babbs; Barkha Patel; Wambura Fobbs; Nils B Kroemer; Elizabeth Garcia; Martin R Yeomans; Dana M Small
Journal:  Curr Biol       Date:  2017-08-10       Impact factor: 10.834

5.  Relationship between binge eating and associated eating behaviors with subcortical brain volumes and cortical thickness.

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Review 6.  The dopamine motive system: implications for drug and food addiction.

Authors:  Nora D Volkow; Roy A Wise; Ruben Baler
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7.  Measurement of external food cue responsiveness in preschool-age children: Preliminary evidence for the use of the external food cue responsiveness scale.

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Journal:  Am J Clin Nutr       Date:  2018-02-01       Impact factor: 7.045

9.  Striatal volume and functional connectivity correlate with weight gain in early-phase psychosis.

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10.  Measuring attentional bias to food cues in young children using a visual search task: An eye-tracking study.

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Journal:  Appetite       Date:  2020-01-17       Impact factor: 3.868

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