Personalized or Precision Medicine in the Dietary Approach to Obesity

NCT ID: NCT05420311

Last Updated: 2022-09-26

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

UNKNOWN

Clinical Phase

NA

Total Enrollment

450 participants

Study Classification

INTERVENTIONAL

Study Start Date

2022-10-31

Study Completion Date

2024-12-01

Brief Summary

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The main objective of this project is to apply a precision medicine approach to try to explain the intra-individual variability of the response to different weight loss approaches: a balanced hypocaloric diet in macronutrients (MedDiet), a very low carbohydrate diet (KetoDiet) and an intermittent fasting (IF) approach, and try to establish in a personalized manner with the individual variability in genetics, metabolites, intestinal microbiome, and environmental factors the best dietary strategy for weight loss. As secondary objectives the investigators pretend to O1: To analyze whether individual variability in genetics, epigenetics, intestinal microbiome, and environmental factors determine the changes in insulin resistance, blood pressure, lipid levels and NASH markers after three different dietary interventions. O2: To analyze whether individual variability in genetics, epigenetics, intestinal microbiome, and environmental factors determine the changes in the body composition and the different ratio of free-fat/ fat mass loss after three different dietary interventions. O3: To determine the most effective intervention to increase the loss of fat mass, preserve the free-fat mass and trigger a better metabolic profile. O4: To follow-up changes in gut microbiota and DNA methylation after each of the cross-over dietary interventions. O5: To evaluate the transcriptional response of adipose tissue and elucidate its predictive value for the body-composition changes in patients subjected to the different dietary interventions.

O6: To evaluate the influence of D-ß-hydroxybutyrate as well as other short-chain acyl-CoA precursor metabolites in human adipocytes lipolysis by in vitro experimentation and elucidate the influence of metabolite-sensitive histone modifications in the shaping of adipose transcriptional program and lipolysis sensitivity. O7: To develop a machine learning algorithm based on genetics, epigenetics, intestinal microbiome, and environmental factors for the prediction of the best dietary approach for weight loss in a personalized manner. To try to respond to these objectives, the investigators will apply two models: a randomized cross-over study testing three different dietary weight-loss interventions: MedDiet, KetoDiet, and IF with wash-out periods before each intervention.

Detailed Description

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The main objective of this project is to apply a precision medicine approach to try to explain the intra-individual variability of the response to different weight loss approaches: a balanced hypocaloric diet in macronutrients (MedDiet), a very low carbohydrate diet (KetoDiet) and an intermittent fasting (IF) approach, and try to establish in a personalized manner with the individual variability in genetics, metabolites, intestinal microbiome, and environmental factors the best dietary strategy for weight loss. As secondary objectives the investigators pretend to O1: To analyze whether individual variability in genetics, epigenetics, intestinal microbiome, and environmental factors determine the changes in insulin resistance, blood pressure, lipid levels and NASH markers after three different dietary interventions. O2: To analyze whether individual variability in genetics, epigenetics, intestinal microbiome, and environmental factors determine the changes in the body composition and the different ratio of free-fat/ fat mass loss after three different dietary interventions. O3: To determine the most effective intervention to increase the loss of fat mass, preserve the free-fat mass and trigger a better metabolic profile. O4: To follow-up changes in gut microbiota and DNA methylation after each of the cross-over dietary interventions. O5: To evaluate the transcriptional response of adipose tissue and elucidate its predictive value for the body-composition changes in patients subjected to the different dietary interventions. O6: To evaluate the influence of D-ß-hydroxybutyrate as well as other short-chain acyl-CoA precursor metabolites in human adipocytes lipolysis by in vitro experimentation and elucidate the influence of metabolite-sensitive histone modifications in the shaping of adipose transcriptional program and lipolysis sensitivity. O7: To develop a machine learning algorithm based on genetics, epigenetics, intestinal microbiome, and environmental factors for the prediction of the best dietary approach for weight loss in a personalized manner. To try to respond to these objectives, the investigators will apply two models: a randomized cross-over study testing three different dietary weight-loss interventions: MedDiet, KetoDiet, and IF with wash-out periods before each intervention in patients with obesity; and a second cellular approach with adipose tissue from the patients as well as with commercial cells.

Conditions

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Obesity

Study Design

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Allocation Method

RANDOMIZED

Intervention Model

CROSSOVER

A randomized cross-over study testing three different dietary weight-loss interventions
Primary Study Purpose

TREATMENT

Blinding Strategy

NONE

Study Groups

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A balanced hypocaloric diet in macronutrients (MedDiet).

Mediterranean diet based on olive oil as main fat and regular consumption of vegetables (2 daily rations), fruits (3 daily rations), legumes (3 weekly rations), fish (3 weekly rations), with low consumption of red meat and meat products (less than twice a week), dairy foods (less than once a week) and no sweets, pastries or sugary drinks. Diet will produce a 600 kcal per day caloric deficit, according to the Harris-Benedict equation for each subject. Diet will include 45% carbohydrates, 35% fat, 20% protein distributed in at least 4 meals (breakfast, lunch, afternoon snack and dinner).

Group Type EXPERIMENTAL

MedDiet Arm

Intervention Type OTHER

A balanced hypocaloric diet in macronutrients (MedDiet)

A very low carbohydrate diet (KetoDiet).

Diet will produce a 600 kcal per day caloric deficit, according to the Harris-Benedict equation for each subject. Diet will include 5 % carbohydrates, 65% fat and 30% high biological value protein

Group Type EXPERIMENTAL

KetoDiet Arm

Intervention Type OTHER

A very low carbohydrate diet (KetoDiet).

An intermittent fasting (IF) approach.

In this diet subjects alternate norm caloric diet during 24 h (according to Harris-Benedict equation) and a diet including only 25% of caloric requirements the following 24 h (this day diet will include 5 % carbohydrates, 65% fat and 30% high biological value protein).

Group Type EXPERIMENTAL

IF Arm

Intervention Type OTHER

An intermittent fasting (IF) approach

Interventions

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MedDiet Arm

A balanced hypocaloric diet in macronutrients (MedDiet)

Intervention Type OTHER

KetoDiet Arm

A very low carbohydrate diet (KetoDiet).

Intervention Type OTHER

IF Arm

An intermittent fasting (IF) approach

Intervention Type OTHER

Eligibility Criteria

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Inclusion Criteria

* Participants aged ≥ 18 and \<70 years old who were derived to the obesity-management unit of the Endocrinology and Nutrition Unit of the Virgen de la Victoria Hospital (Málaga).
* BMI between 35 and 45 kg/m2.

Exclusion Criteria

* Pregnant or lactating
* Following a prescribed diet for any reason in the past 3 months
* Celiac disease, Crohn's disease or any condition altering nutritional requirements.
* Allergies or food intolerances, as well as antibiotics treatment or usual probiotics intake.
Minimum Eligible Age

18 Years

Maximum Eligible Age

70 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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Fundación Pública Andaluza para la Investigación de Málaga en Biomedicina y Salud

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Franscisco J. Tinahones, MD, PhD.

Role: PRINCIPAL_INVESTIGATOR

Instituto de Investigacion Biomedica de Malaga

Locations

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Hospital Universitario Virgen de la Victoria

Málaga, , Spain

Site Status

Countries

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Spain

Central Contacts

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Isabel Moreno Indias, PhD.

Role: CONTACT

951032647

Franscisco J. Tinahones, MD, PhD.

Role: CONTACT

951032647

Facility Contacts

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Francisco J Tinahones, MD, PhD

Role: primary

+34 951 932 734

Isabel Moreno-Indias, PhD

Role: backup

+34 951032647

Other Identifiers

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PI21/01677

Identifier Type: -

Identifier Source: org_study_id

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