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

7 de octubre de 2022 actualizado por: 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.

Descripción general del estudio

Descripción detallada

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.

Tipo de estudio

Intervencionista

Inscripción (Actual)

82

Fase

  • No aplica

Criterios de participación

Los investigadores buscan personas que se ajusten a una determinada descripción, denominada criterio de elegibilidad. Algunos ejemplos de estos criterios son el estado de salud general de una persona o tratamientos previos.

Criterio de elegibilidad

Edades elegibles para estudiar

18 años a 65 años (Adulto, Adulto Mayor)

Acepta Voluntarios Saludables

Géneros elegibles para el estudio

Todos

Descripción

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 de estudios

Esta sección proporciona detalles del plan de estudio, incluido cómo está diseñado el estudio y qué mide el estudio.

¿Cómo está diseñado el estudio?

Detalles de diseño

  • Propósito principal: Ciencia básica
  • Asignación: Aleatorizado
  • Modelo Intervencionista: Asignación paralela
  • Enmascaramiento: Único

Armas e Intervenciones

Grupo de participantes/brazo
Intervención / Tratamiento
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.

¿Qué mide el estudio?

Medidas de resultado primarias

Medida de resultado
Medida Descripción
Periodo de tiempo
Change in fat taste preference after 8-weeks dietary intervention
Periodo de tiempo: 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
Periodo de tiempo: 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.
Periodo de tiempo: 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.

Colaboradores e Investigadores

Aquí es donde encontrará personas y organizaciones involucradas en este estudio.

Colaboradores

Investigadores

  • Director de estudio: Jens C Bruening, MD, Max Planck Institute for Metabolism Research
  • Investigador principal: Dana M Small, PhD, Yale University
  • Investigador principal: Marc Tittgemeyer, PhD, Max Planck Institute for Metabolism Research

Fechas de registro del estudio

Estas fechas rastrean el progreso del registro del estudio y los envíos de resultados resumidos a ClinicalTrials.gov. Los registros del estudio y los resultados informados son revisados ​​por la Biblioteca Nacional de Medicina (NLM) para asegurarse de que cumplan con los estándares de control de calidad específicos antes de publicarlos en el sitio web público.

Fechas importantes del estudio

Inicio del estudio (Actual)

9 de marzo de 2016

Finalización primaria (Actual)

24 de octubre de 2018

Finalización del estudio (Actual)

24 de octubre de 2018

Fechas de registro del estudio

Enviado por primera vez

5 de octubre de 2022

Primero enviado que cumplió con los criterios de control de calidad

7 de octubre de 2022

Publicado por primera vez (Actual)

10 de octubre de 2022

Actualizaciones de registros de estudio

Última actualización publicada (Actual)

10 de octubre de 2022

Última actualización enviada que cumplió con los criterios de control de calidad

7 de octubre de 2022

Última verificación

1 de octubre de 2022

Más información

Términos relacionados con este estudio

Otros números de identificación del estudio

  • HF-01

Información sobre medicamentos y dispositivos, documentos del estudio

Estudia un producto farmacéutico regulado por la FDA de EE. UU.

No

Estudia un producto de dispositivo regulado por la FDA de EE. UU.

No

Esta información se obtuvo directamente del sitio web clinicaltrials.gov sin cambios. Si tiene alguna solicitud para cambiar, eliminar o actualizar los detalles de su estudio, comuníquese con register@clinicaltrials.gov. Tan pronto como se implemente un cambio en clinicaltrials.gov, también se actualizará automáticamente en nuestro sitio web. .

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