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

7. Oktober 2022 aktualisiert von: 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.

Studienübersicht

Detaillierte Beschreibung

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.

Studientyp

Interventionell

Einschreibung (Tatsächlich)

82

Phase

  • Unzutreffend

Teilnahmekriterien

Forscher suchen nach Personen, die einer bestimmten Beschreibung entsprechen, die als Auswahlkriterien bezeichnet werden. Einige Beispiele für diese Kriterien sind der allgemeine Gesundheitszustand einer Person oder frühere Behandlungen.

Zulassungskriterien

Studienberechtigtes Alter

18 Jahre bis 65 Jahre (Erwachsene, Älterer Erwachsener)

Akzeptiert gesunde Freiwillige

Ja

Studienberechtigte Geschlechter

Alle

Beschreibung

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.

Studienplan

Dieser Abschnitt enthält Einzelheiten zum Studienplan, einschließlich des Studiendesigns und der Messung der Studieninhalte.

Wie ist die Studie aufgebaut?

Designdetails

  • Hauptzweck: Grundlegende Wissenschaft
  • Zuteilung: Zufällig
  • Interventionsmodell: Parallele Zuordnung
  • Maskierung: Single

Waffen und Interventionen

Teilnehmergruppe / Arm
Intervention / Behandlung
Experimental: 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.
Experimental: 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.

Was misst die Studie?

Primäre Ergebnismessungen

Ergebnis Maßnahme
Maßnahmenbeschreibung
Zeitfenster
Change in fat taste preference after 8-weeks dietary intervention
Zeitfenster: 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
Zeitfenster: 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.
Zeitfenster: 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.

Mitarbeiter und Ermittler

Hier finden Sie Personen und Organisationen, die an dieser Studie beteiligt sind.

Mitarbeiter

Ermittler

  • Studienleiter: Jens C Bruening, MD, Max Planck Institute for Metabolism Research
  • Hauptermittler: Dana M Small, PhD, Yale University
  • Hauptermittler: Marc Tittgemeyer, PhD, Max Planck Institute for Metabolism Research

Studienaufzeichnungsdaten

Diese Daten verfolgen den Fortschritt der Übermittlung von Studienaufzeichnungen und zusammenfassenden Ergebnissen an ClinicalTrials.gov. Studienaufzeichnungen und gemeldete Ergebnisse werden von der National Library of Medicine (NLM) überprüft, um sicherzustellen, dass sie bestimmten Qualitätskontrollstandards entsprechen, bevor sie auf der öffentlichen Website veröffentlicht werden.

Haupttermine studieren

Studienbeginn (Tatsächlich)

9. März 2016

Primärer Abschluss (Tatsächlich)

24. Oktober 2018

Studienabschluss (Tatsächlich)

24. Oktober 2018

Studienanmeldedaten

Zuerst eingereicht

5. Oktober 2022

Zuerst eingereicht, das die QC-Kriterien erfüllt hat

7. Oktober 2022

Zuerst gepostet (Tatsächlich)

10. Oktober 2022

Studienaufzeichnungsaktualisierungen

Letztes Update gepostet (Tatsächlich)

10. Oktober 2022

Letztes eingereichtes Update, das die QC-Kriterien erfüllt

7. Oktober 2022

Zuletzt verifiziert

1. Oktober 2022

Mehr Informationen

Begriffe im Zusammenhang mit dieser Studie

Andere Studien-ID-Nummern

  • HF-01

Arzneimittel- und Geräteinformationen, Studienunterlagen

Studiert ein von der US-amerikanischen FDA reguliertes Arzneimittelprodukt

Nein

Studiert ein von der US-amerikanischen FDA reguliertes Geräteprodukt

Nein

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