Targeting DNA-methylation Fingerprints Linked to Ultra-Processed Foods Consumption to Prevent Non-communicable Diseases: the METHYL-UP Study
Study Details
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).
Condition or Disease | Intervention/Treatment | Phase |
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N/A |
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).
Study Design
Arms and Interventions
Arm | Intervention/Treatment |
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Active Comparator: Control Group Participants in the control group will be provided with nutritional guidelines to follow a healthy diet based on a Mediterranean diet. |
Other: Control
General counseling to adhere to a healthy Mediterranean diet
|
Experimental: Intervention group 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. |
Other: Nutritional intervention
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.
Other Names:
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Outcome Measures
Primary Outcome Measures
- UPF [6 months]
Ultra-processed food consumption
Secondary Outcome Measures
- Weight [6 months]
Weight change (Kg)
- BMI [6 months]
Change in body mass index (Kg/m2)
- Obesity [6 months]
Percentage of participants who reverse obesity condition (BMI < 30 Kg/m2)
- Body composition [6 months]
Change in % of fat mass
Other Outcome Measures
- DNA methylation [12 months]
Reversibility of DNA methylation marks
- Glucose [9 months]
Change in fastin glucose levels (mg/dL)
- Glycated haemoglobin [9 months]
Change in fastin glycated haemoglobin levels (%)
- Triglycerides [9 months]
Change in fasting triglycerides levels (mg/dL)
- LDL-cholesterol [9 months]
Change in fasting LDL-cholesterol levels (mg/dL)
- HDL-cholesterol [9 months]
Change in fasting HDL-cholesterol levels (mg/dL)
- Liver profile [9 months]
Change in HSI liver function index
- Microbiota [24 months]
Changein microbiota diversity
Eligibility Criteria
Criteria
Inclusion Criteria:
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Men/women
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18-50 years old
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BMI 25-40 Kg/m2
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UPF consumption > 35% of total intake in g/day
Exclusion Criteria:
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Pregnancy
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Menopause
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IMC <25 Kg/m2 or > 40 Kg/m2
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Excessive alcohol consumption
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Prevalent cardiovascular, renal, lung, pancreatic or liver disease
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Type 1 diabetes
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Type 2 diabetes with poor glucose control or unstable medication during last 3 months
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Prevalent endocrine disease
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Changes in anti-hypertensive medication during last 3 months
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Insulin, systemic anti-inflammatory, or glucocorticoid medication during last 3 months
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Food allergies or intolerances
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Psychosocial or cultural factors that prevent from following the intervention
Contacts and Locations
Locations
Site | City | State | Country | Postal Code | |
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1 | IMDEA Food | Madrid | Spain | 28049 |
Sponsors and Collaborators
- IMDEA Alimentación
Investigators
- Study Director: José M Ordovás, PhD, Fundación IMDEA Alimentación
Study Documents (Full-Text)
None provided.More Information
Additional Information:
Publications
- Konieczna J, Morey M, Abete I, Bes-Rastrollo M, Ruiz-Canela M, Vioque J, Gonzalez-Palacios S, Daimiel L, Salas-Salvadó J, Fiol M, Martín V, Estruch R, Vidal J, Martínez-González MA, Canudas S, Jover AJ, Fernández-Villa T, Casas R, Olbeyra R, Buil-Cosiales P, Babio N, Schröder H, Martínez 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.
- Martinez-Perez C, Daimiel L, Climent-Mainar C, Martínez-González MÁ, Salas-Salvadó J, Corella D, Schröder H, Martinez JA, Alonso-Gómez ÁM, Wärnberg J, Vioque J, Romaguera D, López-Miranda J, Estruch R, Tinahones FJ, Lapetra J, Serra-Majem L, Bueno-Cavanillas A, Tur JA, Sánchez VM, Pintó X, Delgado-Rodríguez M, Matía-Martín P, Vidal J, Vázquez C, Ros E, Basterra J, Babio N, Guillem-Saiz P, Zomeño MD, Abete I, Vaquero-Luna J, Barón-López FJ, Gonzalez-Palacios S, Konieczna J, Garcia-Rios A, Bernal-López MR, Santos-Lozano JM, Bes-Rastrollo M, Khoury N, Saiz C, Pérez-Vega KA, Zulet MA, Tojal-Sierra L, Ruiz ZV, Martinez MA, Malcampo M, Ordovás 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.
- Martinez-Perez C, San-Cristobal R, Guallar-Castillon P, Martínez-González MÁ, Salas-Salvadó J, Corella D, Castañer O, Martinez JA, Alonso-Gómez ÁM, Wärnberg J, Vioque J, Romaguera D, López-Miranda J, Estruch R, Tinahones FJ, Lapetra J, Serra-Majem L, Bueno-Cavanillas A, Tur JA, Sánchez VM, Pintó X, Gaforio JJ, Matía-Martín P, Vidal J, Vázquez C, Ros E, Bes-Rastrollo M, Babio N, Sorlí JV, Lassale C, Pérez-Sanz B, Vaquero-Luna J, Bazán MJA, Barceló-Iglesias MC, Konieczna J, Ríos AG, Bernal-López MR, Santos-Lozano JM, Toledo E, Becerra-Tomás N, Portoles O, Zomeño MD, Abete I, Moreno-Rodriguez A, Lecea-Juarez O, Nishi SK, Muñoz-Martínez J, Ordovás 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). pii: 2471. doi: 10.3390/nu13072471.
- IMD: PI-048