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Articles, Behavioral/Cognitive

An Obesity-Predisposing Variant of the FTO Gene Regulates D2R-Dependent Reward Learning

Meltem Sevgi, Lionel Rigoux, Anne B. Kühn, Jan Mauer, Leonhard Schilbach, Martin E. Hess, Theo O.J. Gruendler, Markus Ullsperger, Klaas Enno Stephan, Jens C. Brüning and Marc Tittgemeyer
Journal of Neuroscience 9 September 2015, 35 (36) 12584-12592; https://doi.org/10.1523/JNEUROSCI.1589-15.2015
Meltem Sevgi
1Max Planck Institute for Metabolism Research, 50931 Cologne, Germany,
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Lionel Rigoux
1Max Planck Institute for Metabolism Research, 50931 Cologne, Germany,
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Anne B. Kühn
1Max Planck Institute for Metabolism Research, 50931 Cologne, Germany,
2Center for Endocrinology, Diabetes and Preventive Medicine, University Hospital of Cologne, 50931 Cologne, Germany,
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Jan Mauer
3Weill Cornell Medical College, Department of Pharmacology, New York, New York 10021,
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Leonhard Schilbach
4Department of Psychiatry, University Hospital of Cologne, 50937 Cologne, Germany,
5Max-Planck-Institute of Psychiatry, 80804 Munich, Germany,
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Martin E. Hess
1Max Planck Institute for Metabolism Research, 50931 Cologne, Germany,
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Theo O.J. Gruendler
4Department of Psychiatry, University Hospital of Cologne, 50937 Cologne, Germany,
7Economics, Otto-von-Guericke-University Magdeburg, 39106 Magdeburg, Germany,
8Center for Behavioral Brain Sciences, 39106 Magdeburg, Germany,
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Markus Ullsperger
6Departments of Neuropsychology and
8Center for Behavioral Brain Sciences, 39106 Magdeburg, Germany,
9Radboud University Nijmegen, Donders Institute for Brain, Cognition and Behaviour, 6525EZ Nijmegen, The Netherlands,
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Klaas Enno Stephan
1Max Planck Institute for Metabolism Research, 50931 Cologne, Germany,
10Translational Neuromodeling Unit, Institute for Biomedical Engineering, University of Zurich and Swiss Federal Institute of Technology, 8032 Zurich, Switzerland,
11Wellcome Trust Centre for Neuroimaging, University College London, London WC1N 3BG, United Kingdom, and
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Jens C. Brüning
1Max Planck Institute for Metabolism Research, 50931 Cologne, Germany,
2Center for Endocrinology, Diabetes and Preventive Medicine, University Hospital of Cologne, 50931 Cologne, Germany,
12Cologne Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases, 50931 Cologne, Germany
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Marc Tittgemeyer
1Max Planck Institute for Metabolism Research, 50931 Cologne, Germany,
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  • Figure 1.
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    Figure 1.

    Probabilistic selection task (a, b) and behavioral results (c–f). a, Schematic task sequence, event order, and durations within a trial. Following selection of one of the two stimuli, the choice was visualized by a white frame. This was immediately followed by positive or negative feedback, according to the task schedule. b, Pairs of stimuli associated with different reward probabilities (percentage positive feedback). In the subsequent test phase, new combinations of the stimuli are presented to assess participants' performance on learning more from negative feedbacks or from positive feedbacks. Trials were identical to those from the learning phase, with the exception that no outcome was presented. Results of the behavioral post-test. c, Choosing the better option A and avoiding the worse option B differs between the FTO groups; correct choices during “avoid B” trials are significantly reduced in the FTO+ group, but there is no significant reduction in “choose A” trials. d, Behavior also differs between groups defined by ANKK1 genotype: choose A trials did not significantly differ between A1− and A1+ individuals, whereas correct choices during “avoid B” trials were significantly reduced in A1+ individuals. e, Combined FTO and ANKK1 genotypes do not show statistically significant differences on “choose A” trials, but a trend toward a reduction of correct choices on these trials between FTO−A1− and FTO+A1+ carriers. f, Reduction of correct choices during “avoid B” trials in a gene dosage-dependent manner; choices decreased in the presence of either the FTO+ or A1+ allele, and carriers of the combination of both risk alleles performed significantly worse than noncarriers. Values are mean ± SEM.

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    Figure 2.

    a, Differences of VTA/SN peak activation in response to positive PEs with regard to the interaction of FTO and ANKK1 gene variants. Values are mean ± SEM. b, Positive PE responses within the VTA/SN VOI (Y = −18), p < 0.05 (FWE-corrected). VTA/SN peak activation to positive PEs correlated with correct choices on (c) “choose A” and (d) “avoid B” trials. Dashed lines indicate the 95% CI for the linear regression (solid line).

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    Figure 3.

    a, Basic layout of a DCM for investigating modulation of reward-responsive regions by the FTO gene variant and the ANKK1 gene variant. Solid connections indicate connections, which are significantly (p < 0.05) altered by genetic status. Dotted connections do not show a significant genetic effect. b, Average strengths of the connection from VTA/SN to NAcc (left) and from NAcc to mPFC (middle) under both FTO gene variants, as well as from VTA/SN to mPFC (right) relative to groups defined by ANKK1 genotype. Values are mean ± SEM. c, Correlation between connection strength from VTA/SN to NAcc and performance of avoidance learning (percentage correct on “avoid B” trials). Dashed lines indicate the 95% CI for the linear regression (solid line).

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    Table 1.

    Descriptive data of participant's matching criteria, gender, age, Wechsler Adult Intelligence Scale–Matrice Scale, and BMIa

    GenotypeNo. of subjectsGenderAge (yr)WAIS-MSBMIBDI-II
    MaleFemaleMeanSEMMeanSEMMeanSEMMeanSEM
    A1−FTO−20812250.712.00.522.50.67.01.2
    A1−FTO+21912271.111.20.423.90.97.61.0
    A1+FTO−16610261.011.60.122.40.510.81.4
    A1+FTO+22913260.911.00.122.50.48.01.2
    F(3,74) = 0.78F(3,74) = 1.79F(3,74) = 1.29F(3,74) = 1.73
    p = 0.51p = 0.16p = 0.29p = 0.17
    • ↵aData are mean ± SEM. To preclude an acute depression, participants have been assessed using the Beck's Depression Inventory (BDI-II).

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The Journal of Neuroscience: 35 (36)
Journal of Neuroscience
Vol. 35, Issue 36
9 Sep 2015
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An Obesity-Predisposing Variant of the FTO Gene Regulates D2R-Dependent Reward Learning
Meltem Sevgi, Lionel Rigoux, Anne B. Kühn, Jan Mauer, Leonhard Schilbach, Martin E. Hess, Theo O.J. Gruendler, Markus Ullsperger, Klaas Enno Stephan, Jens C. Brüning, Marc Tittgemeyer
Journal of Neuroscience 9 September 2015, 35 (36) 12584-12592; DOI: 10.1523/JNEUROSCI.1589-15.2015

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An Obesity-Predisposing Variant of the FTO Gene Regulates D2R-Dependent Reward Learning
Meltem Sevgi, Lionel Rigoux, Anne B. Kühn, Jan Mauer, Leonhard Schilbach, Martin E. Hess, Theo O.J. Gruendler, Markus Ullsperger, Klaas Enno Stephan, Jens C. Brüning, Marc Tittgemeyer
Journal of Neuroscience 9 September 2015, 35 (36) 12584-12592; DOI: 10.1523/JNEUROSCI.1589-15.2015
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Keywords

  • dopamine
  • fMRI
  • genetics
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  • obesity
  • reinforcement learning

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