Personalized or Precision Medicine in the Dietary Approach to Obesity (PI21/01677)

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.

Study Overview

Status

Not yet recruiting

Conditions

Detailed Description

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.

Study Type

Interventional

Enrollment (Anticipated)

450

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Contact Backup

  • Name: Franscisco J. Tinahones, MD, PhD.
  • Phone Number: 951032647
  • Email: fjtinahones@uma.es

Study Locations

      • Málaga, Spain, 29010
        • Hospital Universitario Virgen de la Victoria
        • Contact:
        • Contact:

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years to 70 years (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Description

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.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Treatment
  • Allocation: Randomized
  • Interventional Model: Crossover Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: 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).
A balanced hypocaloric diet in macronutrients (MedDiet)
Experimental: 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
A very low carbohydrate diet (KetoDiet).
Experimental: 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).
An intermittent fasting (IF) approach

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Changes in body weight after each intervention
Time Frame: From baseline to 1 month
Weight in kg
From baseline to 1 month

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Changes in body composition and in the ratio of free-fat / fat mass loss after the three different dietary interventions.
Time Frame: From baseline to 1 month
Ratio in %
From baseline to 1 month
Changes in the degree of insulin resistance.
Time Frame: From baseline to 1 month
Measured by the HOMA-IR ratio
From baseline to 1 month
Changes in the systolic blood pressure
Time Frame: From baseline to 1 month
Blood pressure measured in millimeters of mercury
From baseline to 1 month
Changes in the diastolic blood pressure
Time Frame: From baseline to 1 month
Blood pressure measured in millimeters of mercury
From baseline to 1 month
Changes in lipid profile (triglycerides)
Time Frame: From baseline to 1 month
Measured in mg/dl
From baseline to 1 month
Changes in lipid profile (cholesterol)
Time Frame: From baseline to 1 month
Measured in mg/dl
From baseline to 1 month
Changes in the degree of ketosis
Time Frame: From baseline to 1 month
Measured in mmol/l
From baseline to 1 month
Changes in gut microbiota
Time Frame: From baseline to 1 month
Change from baseline in 16S rRNA amplicons after 1 month
From baseline to 1 month
DNA methylation.
Time Frame: From baseline to 1 month
Measured by a Methylation Array of the whole genome interrogating 850000 CpGs.
From baseline to 1 month
Changes in the punctuation in neurocognitive test - Trailmaking Test (A - B)
Time Frame: From baseline to 1 month
Trailmaking Test (A - B) allows evaluating visual search speed, working memory, motor skills, visual-spatial sequencing, sustained attention, divided attention and mental flexibility (time: reduction in seconds)
From baseline to 1 month
Changes in the punctuation in neurocognitive test - Stroop
Time Frame: From baseline to 1 month
Stroop measures selective attention and inhibitory control. (increasing scores)
From baseline to 1 month
Changes in the punctuation in neurocognitive test - WAISspan
Time Frame: From baseline to 1 month
Letters and numbers from the WAISspan for working memory, concentration, auditory sequencing and executive attention. (time: reduction in seconds)
From baseline to 1 month
Changes in the punctuation in neurocognitive test - UPPS-P
Time Frame: From baseline to 1 month
  • Trailmaking Test (A - B) allows evaluating visual search speed, working memory, motor skills, visual-spatial sequencing, sustained attention, divided attention and mental flexibility (time: reduction in seconds)
  • Stroop: Measures selective attention and inhibitory control. (increasing scores)
  • Letters and numbers from the WAISspan for working memory, concentration, auditory sequencing and executive attention. (time: reduction in seconds)
  • UPPS-P: Impulse BehaviorScale (Cyders et al. 2007; validated in Spanish by Candido et al, 2012). Self- administered scale that evaluates impulsivity. Scale of items using a 4-point likert scale (min 59 /max 136 points).
From baseline to 1 month

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Franscisco J. Tinahones, MD, PhD., Instituto de Investigación Biomédica de Málaga

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Anticipated)

October 31, 2022

Primary Completion (Anticipated)

July 1, 2024

Study Completion (Anticipated)

December 1, 2024

Study Registration Dates

First Submitted

May 18, 2022

First Submitted That Met QC Criteria

June 14, 2022

First Posted (Actual)

June 15, 2022

Study Record Updates

Last Update Posted (Actual)

September 26, 2022

Last Update Submitted That Met QC Criteria

September 23, 2022

Last Verified

April 1, 2022

More Information

Terms related to this study

Other Study ID Numbers

  • PI21/01677

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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