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Targeting DNA-methylation Fingerprints Linked to Ultra-Processed Foods Consumption to Prevent Non-communicable Diseases: the METHYL-UP Study (METHYL-UP)

Primary Purpose

Obesity, Overweight

Status
Completed
Phase
Not Applicable
Locations
Spain
Study Type
Interventional
Intervention
Nutritional intervention
Control
Sponsored by
IMDEA Food
About
Eligibility
Locations
Arms
Outcomes
Full info

About this trial

This is an interventional prevention trial for Obesity focused on measuring Epigenetics, Methylation, Clinical trial, Causal inference, Non-communicable diseases, Precision nutrition, Ultra-processed food, NOVA, Obesity

Eligibility Criteria

18 Years - 50 Years (Adult)All SexesDoes not accept healthy volunteers

Inclusion Criteria:

  • Men/women
  • 18-50 years old
  • BMI 25-40 Kg/m2
  • UPF consumption > 35% of total intake in g/day

Exclusion Criteria:

  • Pregnancy
  • Menopause
  • IMC <25 Kg/m2 or > 40 Kg/m2
  • Excessive alcohol consumption
  • Prevalent cardiovascular, renal, lung, pancreatic or liver disease
  • Type 1 diabetes
  • Type 2 diabetes with poor glucose control or unstable medication during last 3 months
  • Prevalent endocrine disease
  • Changes in anti-hypertensive medication during last 3 months
  • Insulin, systemic anti-inflammatory, or glucocorticoid medication during last 3 months
  • Food allergies or intolerances
  • Psychosocial or cultural factors that prevent from following the intervention

Sites / Locations

  • IMDEA Food

Arms of the Study

Arm 1

Arm 2

Arm Type

Active Comparator

Experimental

Arm Label

Control Group

Intervention group

Arm Description

Participants in the control group will be provided with nutritional guidelines to follow a healthy diet based on a Mediterranean diet.

Participants in the intervention group will follow a nutritional intervention program aimed to reduce UPF consumption. Nutritional intervention will not modify basal caloric intake but will record energy intake along the intervention. Nutritional counseling will be based on nutritional educational material such as encouraged and discouraged food items, recipes, menus and food shopping lists based on unprocessed or minimally processed foods.

Outcomes

Primary Outcome Measures

UPF
Ultra-processed food consumption

Secondary Outcome Measures

Weight
Weight change (Kg)
BMI
Change in body mass index (Kg/m2)
Obesity
Percentage of participants who reverse obesity condition (BMI < 30 Kg/m2)
Body composition
Change in % of fat mass

Full Information

First Posted
March 21, 2022
Last Updated
February 9, 2023
Sponsor
IMDEA Food
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1. Study Identification

Unique Protocol Identification Number
NCT05319327
Brief Title
Targeting DNA-methylation Fingerprints Linked to Ultra-Processed Foods Consumption to Prevent Non-communicable Diseases: the METHYL-UP Study
Acronym
METHYL-UP
Official Title
Targeting DNA-methylation Fingerprints Linked to Ultra-Processed Foods Consumption to Prevent Non-communicable Diseases: the METHYL-UP Study
Study Type
Interventional

2. Study Status

Record Verification Date
February 2023
Overall Recruitment Status
Completed
Study Start Date
June 6, 2021 (Actual)
Primary Completion Date
December 31, 2022 (Actual)
Study Completion Date
December 31, 2022 (Actual)

3. Sponsor/Collaborators

Responsible Party, by Official Title
Principal Investigator
Name of the Sponsor
IMDEA Food

4. Oversight

Studies a U.S. FDA-regulated Drug Product
No
Studies a U.S. FDA-regulated Device Product
No
Data Monitoring Committee
No

5. Study Description

Brief Summary
Non-communicable diseases (NCD) are the main health challenge in industrialized countries. However, these diseases are preventable if an intervention based on lifestyle is implemented at the population level. Diet has a great impact on the onset and progression of NCD. In this regard, ultra-processed food (UPF) consumption has been related to higher morbidity and mortality. UPF are defined as "formulations made mostly or entirely from substances derived from foods and additives, with little if any intact unprocessed or minimally processed foods" (NOVA definition). UPF are rich in saturated fats and additives and poor in fiber other nutrients. UPF consumption has raised in the last decades in the industrialized countries and this increase has been associated with higher prevalence of metabolic disorders such as diabetes, obesity, metabolic syndrome, cardiovascular disease, and cancer. However, mechanisms that link UPF consumption with NCD are poorly understood and clinical trials are needed to unravel these mechanisms and how to impact on them through lifestyle interventions. The investigators have previously identified DNA methylation marks associated with UPF consumption. DNA methylation marks are modifiable. The aim of the study is to assay if DNA methylation marks related to UPF consumption are reversible by reducing UPF consumption in a population of adults with overweight or obesity and with a high basal UPF consumption (>35% of total food consumption in g/day).
Detailed Description
The investigators propose a controlled, randomized, parallel groups intervention study based on nutritional counseling to reduce UPF consumption. Eligible participants are adults (18-50 years old), men and women, with overweight or obesity (BMI 25-40 Kg/m2) with a high basal consumption of UPF (>35% of total intake in g/day). Recruited participants will be randomly allocated into a control group or an intervention group. Participants in the control group will be provided with nutritional guidelines to follow a healthy diet based on a Mediterranean diet. Participants in the intervention group will follow a nutritional intervention program aimed to reduce UPF consumption. Nutritional intervention will not modify basal caloric intake but will record energy intake along the intervention. Nutritional counseling will be based on nutritional educational material such as encourage and discourage food items, recipes, menus and food shopping lists based on unprocessed or minimally processed foods. Total intervention will last 6 months for both groups. During the intervention phase, a monthly interview with nutritionist/dietitian is scheduled. Face-to-face interviews will be carried out in months 2 and 4. Phone interviews will be carried out in months 1, 3 and 5. In the baseline and final visits (months 0 and 6) a sample and data collection will be performed. Data collected will include general socio-demographical data (age, sex, educational level, working status, civil status, rural/urban status), lifestyle data (smoking habits, dietary habits, physical activity, sleeping habits), anthropometric data (height, weight, waist circumference, body composition), and clinic-phenotypical parameters (blood pressure, medication, adverse effects, disease prevalence). Biological sample collection will include blood, urine, saliva and feces. Biochemical and blood cells parameters will be measured (blood cell count, glucose, lipid and hepatic profiles).

6. Conditions and Keywords

Primary Disease or Condition Being Studied in the Trial, or the Focus of the Study
Obesity, Overweight
Keywords
Epigenetics, Methylation, Clinical trial, Causal inference, Non-communicable diseases, Precision nutrition, Ultra-processed food, NOVA, Obesity

7. Study Design

Primary Purpose
Prevention
Study Phase
Not Applicable
Interventional Study Model
Parallel Assignment
Model Description
Controlled, randomized, parallel groups intervention
Masking
Investigator
Masking Description
The investigator who will analyze data will be provided with blinded data regarding the groups. Control and intervention groups will be randomly designated as group A and B. Investigator responsible for the analyses of the effect of the intervention on primary outcomes will compared groups A and B in a blinded manner.
Allocation
Randomized
Enrollment
33 (Actual)

8. Arms, Groups, and Interventions

Arm Title
Control Group
Arm Type
Active Comparator
Arm Description
Participants in the control group will be provided with nutritional guidelines to follow a healthy diet based on a Mediterranean diet.
Arm Title
Intervention group
Arm Type
Experimental
Arm Description
Participants in the intervention group will follow a nutritional intervention program aimed to reduce UPF consumption. Nutritional intervention will not modify basal caloric intake but will record energy intake along the intervention. Nutritional counseling will be based on nutritional educational material such as encouraged and discouraged food items, recipes, menus and food shopping lists based on unprocessed or minimally processed foods.
Intervention Type
Other
Intervention Name(s)
Nutritional intervention
Other Intervention Name(s)
Reduction of UPF consumption
Intervention Description
A nutritional intervention program aimed to reduce UPF consumption. Nutritional intervention will not modify basal caloric intake but will record energy intake along the intervention. Nutritional counseling will be based on nutritional educational material such as encouraged and discouraged food items, recipes, menus and food shopping lists based on unprocessed or minimally processed foods. Total intervention will last 6 months for both groups. During the intervention phase, a monthly interview with nutritionist/dietitian is scheduled. Face-to-face interviews will be carried out in months 2 and 4. Phone interviews will be carried out in months 1, 3 and 5. In the baseline and final visits (months 0 and 6) a sample and data collection will be performed.
Intervention Type
Other
Intervention Name(s)
Control
Intervention Description
General counseling to adhere to a healthy Mediterranean diet
Primary Outcome Measure Information:
Title
UPF
Description
Ultra-processed food consumption
Time Frame
6 months
Secondary Outcome Measure Information:
Title
Weight
Description
Weight change (Kg)
Time Frame
6 months
Title
BMI
Description
Change in body mass index (Kg/m2)
Time Frame
6 months
Title
Obesity
Description
Percentage of participants who reverse obesity condition (BMI < 30 Kg/m2)
Time Frame
6 months
Title
Body composition
Description
Change in % of fat mass
Time Frame
6 months
Other Pre-specified Outcome Measures:
Title
DNA methylation
Description
Reversibility of DNA methylation marks
Time Frame
12 months
Title
Glucose
Description
Change in fastin glucose levels (mg/dL)
Time Frame
9 months
Title
Glycated haemoglobin
Description
Change in fastin glycated haemoglobin levels (%)
Time Frame
9 months
Title
Triglycerides
Description
Change in fasting triglycerides levels (mg/dL)
Time Frame
9 months
Title
LDL-cholesterol
Description
Change in fasting LDL-cholesterol levels (mg/dL)
Time Frame
9 months
Title
HDL-cholesterol
Description
Change in fasting HDL-cholesterol levels (mg/dL)
Time Frame
9 months
Title
Liver profile
Description
Change in HSI liver function index
Time Frame
9 months
Title
Microbiota
Description
Changein microbiota diversity
Time Frame
24 months

10. Eligibility

Sex
All
Minimum Age & Unit of Time
18 Years
Maximum Age & Unit of Time
50 Years
Accepts Healthy Volunteers
No
Eligibility Criteria
Inclusion Criteria: Men/women 18-50 years old BMI 25-40 Kg/m2 UPF consumption > 35% of total intake in g/day Exclusion Criteria: Pregnancy Menopause IMC <25 Kg/m2 or > 40 Kg/m2 Excessive alcohol consumption Prevalent cardiovascular, renal, lung, pancreatic or liver disease Type 1 diabetes Type 2 diabetes with poor glucose control or unstable medication during last 3 months Prevalent endocrine disease Changes in anti-hypertensive medication during last 3 months Insulin, systemic anti-inflammatory, or glucocorticoid medication during last 3 months Food allergies or intolerances Psychosocial or cultural factors that prevent from following the intervention
Overall Study Officials:
First Name & Middle Initial & Last Name & Degree
José M Ordovás, PhD
Organizational Affiliation
Fundación IMDEA Alimentación
Official's Role
Study Director
Facility Information:
Facility Name
IMDEA Food
City
Madrid
ZIP/Postal Code
28049
Country
Spain

12. IPD Sharing Statement

Plan to Share IPD
No
IPD Sharing Plan Description
Informed consent does not allow to make data publicly available. Nevertheless, data could be share upon request to the investigators.
Citations:
PubMed Identifier
35073909
Citation
Martinez-Perez C, Daimiel L, Climent-Mainar C, Martinez-Gonzalez MA, Salas-Salvado J, Corella D, Schroder H, Martinez JA, Alonso-Gomez AM, Warnberg J, Vioque J, Romaguera D, Lopez-Miranda J, Estruch R, Tinahones FJ, Lapetra J, Serra-Majem L, Bueno-Cavanillas A, Tur JA, Sanchez VM, Pinto X, Delgado-Rodriguez M, Matia-Martin P, Vidal J, Vazquez C, Ros E, Basterra J, Babio N, Guillem-Saiz P, Zomeno MD, Abete I, Vaquero-Luna J, Baron-Lopez FJ, Gonzalez-Palacios S, Konieczna J, Garcia-Rios A, Bernal-Lopez MR, Santos-Lozano JM, Bes-Rastrollo M, Khoury N, Saiz C, Perez-Vega KA, Zulet MA, Tojal-Sierra L, Ruiz ZV, Martinez MA, Malcampo M, Ordovas JM, San-Cristobal R. Integrative development of a short screening questionnaire of highly processed food consumption (sQ-HPF). Int J Behav Nutr Phys Act. 2022 Jan 24;19(1):6. doi: 10.1186/s12966-021-01240-6.
Results Reference
background
PubMed Identifier
33610419
Citation
Konieczna J, Morey M, Abete I, Bes-Rastrollo M, Ruiz-Canela M, Vioque J, Gonzalez-Palacios S, Daimiel L, Salas-Salvado J, Fiol M, Martin V, Estruch R, Vidal J, Martinez-Gonzalez MA, Canudas S, Jover AJ, Fernandez-Villa T, Casas R, Olbeyra R, Buil-Cosiales P, Babio N, Schroder H, Martinez JA, Romaguera D; PREDIMED-Plus investigators. Contribution of ultra-processed foods in visceral fat deposition and other adiposity indicators: Prospective analysis nested in the PREDIMED-Plus trial. Clin Nutr. 2021 Jun;40(6):4290-4300. doi: 10.1016/j.clnu.2021.01.019. Epub 2021 Jan 28.
Results Reference
background
PubMed Identifier
34371982
Citation
Martinez-Perez C, San-Cristobal R, Guallar-Castillon P, Martinez-Gonzalez MA, Salas-Salvado J, Corella D, Castaner O, Martinez JA, Alonso-Gomez AM, Warnberg J, Vioque J, Romaguera D, Lopez-Miranda J, Estruch R, Tinahones FJ, Lapetra J, Serra-Majem L, Bueno-Cavanillas A, Tur JA, Sanchez VM, Pinto X, Gaforio JJ, Matia-Martin P, Vidal J, Vazquez C, Ros E, Bes-Rastrollo M, Babio N, Sorli JV, Lassale C, Perez-Sanz B, Vaquero-Luna J, Bazan MJA, Barcelo-Iglesias MC, Konieczna J, Rios AG, Bernal-Lopez MR, Santos-Lozano JM, Toledo E, Becerra-Tomas N, Portoles O, Zomeno MD, Abete I, Moreno-Rodriguez A, Lecea-Juarez O, Nishi SK, Munoz-Martinez J, Ordovas JM, Daimiel L. Use of Different Food Classification Systems to Assess the Association between Ultra-Processed Food Consumption and Cardiometabolic Health in an Elderly Population with Metabolic Syndrome (PREDIMED-Plus Cohort). Nutrients. 2021 Jul 20;13(7):2471. doi: 10.3390/nu13072471.
Results Reference
background
Links:
URL
https://www.food.imdea.org/nutritional-genomics-and-epigenomics-group
Description
Research team profile
URL
https://www.food.imdea.org/nutritional-control-epignome
Description
Research team profile

Learn more about this trial

Targeting DNA-methylation Fingerprints Linked to Ultra-Processed Foods Consumption to Prevent Non-communicable Diseases: the METHYL-UP Study

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