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Effect of High-fat/High-sugar Diet on Food Reward Signaling

7 octobre 2022 mis à jour par: Marc Tittgemeyer, Max Planck Institute for Metabolism Research

Influence of High Fat Feeding on Brain and Behaviour in Individuals at Genetic Risk of Obesity

In this randomized, single-blinded basic research study, healthy normal-weight human participants are exposed to a high-fat/high-sugar (HF/HS) snack or a low-fat/low-sugar (LF/LS) snack twice a day for eight weeks in addition to their regular diet. All participants are tested at baseline, after 4 weeks and after 8 weeks of dietary intervention.

At all time points the investigators acquire the following parameters:

  • Body weight and composition,
  • Blood parameters to control for metabolic changes,
  • Visual analog scales (hunger, satiety, tiredness, etc.),
  • Fat and sugar concentration preference,
  • Functional Magnetic Resonance Imaging (fMRI) during a learning and a gustatory perception task.

The investigators hypothesize that the habitual consumption of a small HF/HS snack will reduce the preference for low-fat concentrations and will have an impact on brain response to the anticipation and consumption of palatable food. Moreover, the investigators hypothesize, that HF/HS diet will have an impact neuronal encoding of learning independent of food cues. The investigators expect these alterations independent of body weight gain suggesting a direct effect of HF/HS diet on neuronal circuits.

Aperçu de l'étude

Description détaillée

In this randomized, single-blinded basic research study, healthy normal-weight human participants are exposed to a high-fat/high-sugar (HF/HS) snack or a low-fat/low-sugar (LF/LS) snack twice a day for eight weeks in addition to their regular diet. The investigators test the effect of this dietary intervention on body weight, metabolic parameters such as insulin sensitivity, blood cholesterol and triglycerides, the preference of fat and sugar taste, the brain response to milkshake anticipation and consumption, and as the neuronal coding of prediction error learning. Here, all participants are tested at baseline, after 4 weeks and after 8 weeks of dietary intervention using behavioral tasks, fMRI and blood sampling. The investigators hypothesize that the habitual consumption of a small HF/HS snack will reduce the preference for low-fat concentrations and impact brain response to the anticipation and consumption of palatable food. Moreover, the investigators hypothesize, that HF/HS diet will have an impact neuronal encoding of learning independent of food cues. The investigators expect these alterations independent of body weight gain suggesting a direct effect of HF/HS diet on neuronal circuits.

Type d'étude

Interventionnel

Inscription (Réel)

82

Phase

  • N'est pas applicable

Critères de participation

Les chercheurs recherchent des personnes qui correspondent à une certaine description, appelée critères d'éligibilité. Certains exemples de ces critères sont l'état de santé général d'une personne ou des traitements antérieurs.

Critère d'éligibilité

Âges éligibles pour étudier

18 ans à 65 ans (Adulte, Adulte plus âgé)

Accepte les volontaires sains

Oui

Sexes éligibles pour l'étude

Tout

La description

Inclusion Criteria:

  • right handed
  • non-smoker (for the last 1 year not smoked more than 2 cigarettes per month)
  • Body Mass Index between 20-27 kg/m2 (healthy weight)

Exclusion Criteria:

  1. serious or unstable medical illness (e.g., cancer);
  2. past or current history of alcoholism or consistent drug use;
  3. current and history of major psychiatric illness as defined by the DSM-IV (Diagnostic and Statistical Manual) criteria including eating disorders,
  4. medications that affect alertness (e.g., barbiturates, benzodiazepines, chloral hydrate, haloperidol, lithium, carbamazepine, phenytoin, etc.) and any psychoactive drugs or anti-obesity agents;
  5. history of major head trauma with loss of consciousness;
  6. ongoing pregnancy;
  7. known taste or smell dysfunction;
  8. a diagnosis of diabetes;
  9. any known food allergy, certain food sensitivities (lactose);
  10. pregnant or nursing women,
  11. history of metalworking, injury with shrapnel or metal slivers, and major surgery;
  12. history of pacemaker or neurostimulator implantation.

Plan d'étude

Cette section fournit des détails sur le plan d'étude, y compris la façon dont l'étude est conçue et ce que l'étude mesure.

Comment l'étude est-elle conçue ?

Détails de conception

  • Objectif principal: Science basique
  • Répartition: Randomisé
  • Modèle interventionnel: Affectation parallèle
  • Masquage: Seul

Armes et Interventions

Groupe de participants / Bras
Intervention / Traitement
Expérimental: High-Fat/High-Sugar (HF/HS) Diet
Participants randomized to consume an HF/HS yoghurt (40.8 % kcal from fat, 45.6 % kcal from carbohydrates, 13 % kcal from protein of 79.5 total kcal) two times a day for eight weeks in addition to their normal diet.
Expérimental: Low-Fat/Low-Sugar (LF/LS) Diet
Participants randomized to consume an LF/LS yoghurt (17.1 % kcal from fat, 29.1 % kcal from carbohydrates, 51.9 % kcal from protein of 78 total kcal) two times a day for eight weeks in addition to their normal diet.

Que mesure l'étude ?

Principaux critères de jugement

Mesure des résultats
Description de la mesure
Délai
Change in fat taste preference after 8-weeks dietary intervention
Délai: Preference (wanting and liking) for different fat and sugar concentrations was assessed at baseline and after the 8-weeks intervention.
In the fat and sugar concentration preference task, the preference and perception are evaluated using a series of puddings with varying fat content (0%, 3.1%, 6.9%, and 15.6 %), and sugar concentration using apple juice with varying sucrose content (0 M, 0.1 M, 0.56 M, and 1 M). Each pudding and juice concentration is tested 12 times and the average is calculated. "Wanting" and "Liking" are assessed for all concentrations and the change between baseline and the post-intervention is assessed in both HF/HS and LF/LS groups.
Preference (wanting and liking) for different fat and sugar concentrations was assessed at baseline and after the 8-weeks intervention.
Change brain response to milkshake anticipation and milkshake consumption after 8-weeks dietary intervention
Délai: BOLD (blood oxygen level-dependent) response to milkshake anticipation and consumption was assessed at baseline and after the 8-weeks intervention.
To test the effect of the dietary intervention on brain responses to milkshake anticipation (milkshake predicting cue) and consumption (milkshake delivery), the investigators performed a gustatory perception task. The BOLD response while milkshake cue presentation and milkshake delivery was compared between baseline and postintervention and compared between groups.
BOLD (blood oxygen level-dependent) response to milkshake anticipation and consumption was assessed at baseline and after the 8-weeks intervention.
Change in neuronal encoding of prediction error processing after 8-weeks dietary intervention.
Délai: BOLD response related to choice prediction error was assessed at baseline and after 8 weeks of intervention. (http://www.vislab.ucl.ac.uk/Cogent/index.html).For further analysis, the investigators calculated the average rating across the total 12.
A short version of the sensory learning task as described in detail by Iglesias et al. (2019) was performed to assess associative learning independent of food rewards, while undergoing fMRI. Within this model, the investigators computed the (signed) adaptive precision error relating to the precision-weighted choice prediction error about visual outcome, that is, the product of choice prediction error (a) and the adaptive learning rate (b). The investigators tested the BOLD response related to choice prediction error and compared it between baseline and post-intervention and between the HF/HS and LF/LS group.
BOLD response related to choice prediction error was assessed at baseline and after 8 weeks of intervention. (http://www.vislab.ucl.ac.uk/Cogent/index.html).For further analysis, the investigators calculated the average rating across the total 12.

Collaborateurs et enquêteurs

C'est ici que vous trouverez les personnes et les organisations impliquées dans cette étude.

Collaborateurs

Les enquêteurs

  • Directeur d'études: Jens C Bruening, MD, Max Planck Institute for Metabolism Research
  • Chercheur principal: Dana M Small, PhD, Yale University
  • Chercheur principal: Marc Tittgemeyer, PhD, Max Planck Institute for Metabolism Research

Dates d'enregistrement des études

Ces dates suivent la progression des dossiers d'étude et des soumissions de résultats sommaires à ClinicalTrials.gov. Les dossiers d'étude et les résultats rapportés sont examinés par la Bibliothèque nationale de médecine (NLM) pour s'assurer qu'ils répondent à des normes de contrôle de qualité spécifiques avant d'être publiés sur le site Web public.

Dates principales de l'étude

Début de l'étude (Réel)

9 mars 2016

Achèvement primaire (Réel)

24 octobre 2018

Achèvement de l'étude (Réel)

24 octobre 2018

Dates d'inscription aux études

Première soumission

5 octobre 2022

Première soumission répondant aux critères de contrôle qualité

7 octobre 2022

Première publication (Réel)

10 octobre 2022

Mises à jour des dossiers d'étude

Dernière mise à jour publiée (Réel)

10 octobre 2022

Dernière mise à jour soumise répondant aux critères de contrôle qualité

7 octobre 2022

Dernière vérification

1 octobre 2022

Plus d'information

Termes liés à cette étude

Autres numéros d'identification d'étude

  • HF-01

Informations sur les médicaments et les dispositifs, documents d'étude

Étudie un produit pharmaceutique réglementé par la FDA américaine

Non

Étudie un produit d'appareil réglementé par la FDA américaine

Non

Ces informations ont été extraites directement du site Web clinicaltrials.gov sans aucune modification. Si vous avez des demandes de modification, de suppression ou de mise à jour des détails de votre étude, veuillez contacter register@clinicaltrials.gov. Dès qu'un changement est mis en œuvre sur clinicaltrials.gov, il sera également mis à jour automatiquement sur notre site Web .

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