Plant-Based Foods and (Poly)Phenol Supplementation in Gut Microbiota Modulation, Body Weight, and Cardiometabolic Risk
- Conditions
- Obesity and Overweight
- Registration Number
- NCT06911346
- Lead Sponsor
- Universidad Catolica de Temuco
- Brief Summary
This single-blind, randomized controlled trial aims to evaluate the effects of increased dietary polyphenol intake-either through a healthy plant-based diet (PBD) or supplementation-on body weight and cardiometabolic risk factors in adults with overweight or obesity.
A total of 99 participants (aged 25-45 years, BMI 25-35 kg/m²) with cardiovascular risk factors will be recruited from local health centers and randomly assigned (1:1:1) to one of three intervention groups for 12 weeks: (1) a healthy PBD rich in polyphenols, with supplemental apple, blueberries, hazelnuts, extra-virgin olive oil, and coffee provided at no cost to the participant (2) a healthy diet plus polyphenol supplementation (≈30g/day) from maqui , green tea, olive leaf, cranberry, and grape extracts, or (3) a control group receiving placebo and standard healthy diet recommendations. All groups will follow a caloric deficit.
Dietary intake will be assessed using three 24-hour dietary recalls at baseline and 12 weeks, with polyphenol intake estimated via the Phenol-Explorer database. Data collection will include lifestyle questionnaires, anthropometric and bioimpedance measurements, blood pressure assessments, physical activity monitoring via accelerometers, and strength evaluations. Blood samples will be analyzed using a large-scale targeted metabolomics approach (UHPLC-MS/MS) to identify metabolic signatures, particularly those linked to gut microbiota. Faecal samples will be collected at baseline and visit 3.
Findings will provide insights into how dietary polyphenols-either from whole foods or supplementation-affect obesity-related outcomes and cardiometabolic risk, potentially unveiling gut microbial biomarkers as future therapeutic targets. This study aims to contribute to strategies for obesity and cardiometabolic risk prevention and treatment.
- Detailed Description
The primary objective of this study is to evaluate the impact of increased dietary polyphenol intake-either through a healthy plant-based diet (PBD) or supplementation-on body weight and cardiometabolic risk factors in adults with overweight or obesity. Additionally, the study seeks to explore the role of gut-microbiota-derived metabolites as potential mediators of these effects through metabolomic analyses.
The calculation determined a required sample size of 90 participants. To account for potential dropouts, a 10% buffer was added, resulting in a final target of 99 participants (33 per group); trial power of 0.8 and alfa error of 5%. A total of 99 participants (aged 25-45 years, BMI 25-35 kg/m²) with at least three cardiometabolic risk factors will be recruited from Health Centers supported by the Health Department of the Municipality in Temuco, Chile.
Participants will be randomly assigned (stratified by sex and age: \<35y and ≥35y) in a 1:1:1 ratio to one of three groups for a 12-week intervention, with assessments conducted at baseline, week 6, and week 12:(1) a group following a healthy PBD rich in polyphenols, (2) a group following a healthy diet plus polyphenol supplementation (≈30g/day from maqui, green tea, cranberry, olive leaf and grape extracts), and (3) a control group receiving placebo and standard dietary recommendations. All groups will follow a caloric deficit (\~1,200 kcal/day) for the entire 12-week study. This will be explained to each participant during the first visit.
Dietary data will be collected using three 24-hour dietary recalls at baseline and after 12 weeks, employing the SER 24 HDR software. The SER-24H software (University of Chile; Santiago, Chile) developed by CIAPEC (Center for Research in Food Environments and Prevention of Nutrition-Associated Diseases) at INTA, University of Chile, was used for dietary assessment. The Phenol-Explorer database estimates dietary polyphenol intake. It is the first comprehensive database on polyphenol content in foods. It contains more than 35,000 content values for 500 different polyphenols in over 400 foods.
Lifestyle, general health, and physical activity will be assessed through validated questionnaires. Anthropometric and body composition measurements will be taken using bioimpedance analysis. Blood pressure will be monitored with sphygmomanometers, while muscle strength will be measured via dynamometry.
Biological samples, including blood and plasma, will be collected at baseline and after 12 weeks. On each visit, 20ml of blood will be extracted from the antecubital vein and will be centrifuged and stored at -80ºC in the ultra-freezers of the School of Medicine at the Catholic University of Temuco until used.
Additionally, participants will be invited to provide a faecal sample during the first and third visits. These samples are not part of the main study but will be stored at -80ºC for potential future microbiota analyses (School of Medicine at the Catholic University of Temuco).
Biochemical analyses will be performed by institutional laboratory. Blood tests will include rutinary hematology and biochemistry, and inflammatory parameters.
Targeted metabolomic analyses will be conducted using ultra-high performance liquid chromatography coupled to tandem mass spectrometry (UHPLC-MS/MS) to identify and quantify polyphenol-derived metabolites, gut microbial metabolites, and other biochemical markers relevant to obesity and cardiometabolic risk.
Participants in the PBD group will receive a structured dietary plan featuring regional and national polyphenol-rich foods such as blueberries, hazelnuts, olive oil, apples, and coffee. The polyphenol supplementation group will receive a standardized supplement taken twice daily. The control group will receive placebo and standard nutritional counseling.
The study will adhere to ethical guidelines, including the Declaration of Helsinki and Good Clinical Practice principles. Ethical approval will be obtained, and all participants will provide informed consent. Data privacy will be ensured in compliance with applicable regulations.
Statistical analyses will be conducted on an intention-to-treat and per-protocol basis. Primary outcomes include changes in body weight and body composition, while secondary outcomes focus on cardiometabolic risk factors, dietary adherence, and metabolic signatures identified through metabolomics. Differences between pre- and post-intervention data, as well as between groups, will be analyzed using multivariate models, machine-learning algorithms, and generalized linear mixed models (GLMMs).
Recruitment & Eligibility
- Status
- NOT_YET_RECRUITING
- Sex
- All
- Target Recruitment
- 99
- Age between 25 and 45 years (adult)
- Sexes: All
- Overweight or obesity class I (BMI 25-35 kg/m²)
- At least three of the following cardiometabolic risk factors:
Current smoker (more than 1 cigarette per day during the last month) Sitting time greater than 7 hours per day or classified as inactive according to the IPAQ Fasting glucose ≥100 mg/dL (5.6 mmol/L)
High blood pressure:
Systolic blood pressure >130 mmHg Diastolic blood pressure >85 mmHg High serum triglycerides (≥150 mg/dL) HbA1c ≥38 mmol/mol (>5.7%)
Waist circumference defined by Peterman et al. for the Chilean population:
92.3 cm for men 87.6 cm for women High high-sensitivity C-reactive protein (hs-CRP) (≥2.0 mg/L)
Family history of premature coronary heart disease:
Definite myocardial infarction or sudden death before age 55 in father or male first-degree relative Before age 65 in mother or female first-degree relative
- Presence of cardiovascular disease, diabetes, or hypertension
- Severe medical conditions that may impair participation in a nutrition intervention study (e.g., digestive disease, advanced malignancy, major neurological or psychiatric disease)
- Any medical condition limiting survival to less than one year
- Illegal drug use, chronic alcoholism, or problematic alcohol use
- BMI ≥35 kg/m²
- Antibiotic use within the last month
- Low predicted likelihood of changing dietary habits according to the Prochaska and DiClemente stages of change model
Study & Design
- Study Type
- INTERVENTIONAL
- Study Design
- PARALLEL
- Primary Outcome Measures
Name Time Method Body weight Visit 1 (Baseline), Visit 2 (Week 6), Visit 3 (Week 12) Unit: Kilograms Measured with: bioimpedance scan
- Secondary Outcome Measures
Name Time Method Systolic blood pressure Visit 1 (Baseline), Visit 2 (Week 6), Visit 3 (Week 12) Unit: mmHg Measured with: Sphygmomanometer
Diastolic blood pressure Visit 1 (Baseline), Visit 2 (Week 6), Visit 3 (Week 12) Unit: mmHg Measured with: Sphygmomanometer
Glucose Visit 1 (Baseline), Visit 3 (Week 12) Plasma concentrations (mg/dl)
Glycosylated hemoglobin Visit 1 (Baseline), Visit 3 (Week 12) Measured through plasma concentrations Unit: %
Insulin Visit 1 (Baseline), Visit 3 (Week 12) Measured through plasma concentrations Unit/ml
Triglycerides Visit 1 (Baseline), Visit 3 (Week 12) Plasma concentrations (mg/dl)
HDL (high-density lipoprotein)-cholesterol Visit 1 (Baseline), Visit 3 (Week 12) Plasma concentrations (mg/dl)
LDL (low-density lipoprotein)-cholesterol Visit 1 (Baseline), Visit 3 (Week 12) Plasma concentrations (mg/dl)
Total cholesterol Visit 1 (Baseline), Visit 3 (Week 12) Plasma concentrations (mg/dl)
Waist circumference Visit 1 (baseline), visit 2 (week 6), visit 3 (week 12) Unit: centimetres Measured with: ergonomic measuring tape
Hip circumference Visit 1 (Baseline), Visit 2 (Week 6), Visit 3 (Week 12) Unit: centimetres Measured with: ergonomic measuring tape
Fat mass Visit 1 (baseline), visit 2 (week 6), visit 3 (week 12) Unit: % Measured with: bioimpedance scan
Muscle mass Visit 1 (Baseline), Visit 2 (Week 6), Visit 3 (Week 12) Unit: % Measured with: bioimpedance scan
Alanine aminotransferase Visit 1 (Baseline), Visit 3 (Week 12) Measured through plasma concentrations: Unit: units/litre
Aspartate aminotransferase Visit 1 (Baseline), Visit 3 (Week 12) Measured through plasma concentrations Units: units/litre
Bilirrubin Visit 1 (Baseline), Visit 3 (Week 12) Measured through plasma concentrations Unit: mg/dl
Creatinin Visit 1 (Baseline), Visit 3 (Week 12) Measured through plasma concentrations (mg/dl)
Urea Visit 1 (Baseline), Visit 3 (Week 12) Measured through plasma concentrations (mg/dl)
Uric acid Visit 1 (Baseline), Visit 3 (Week 12) Measured through plasma concentrations Unit: mg/dl
Hemoglobin Visit 1 (Baseline), Visit 3 (Week 12) Plasma concentrations (g/dl)
Erithrocytes Visit 1 (Baseline), Visit 3 (Week 12) Plasma concentrations (cel/mcl)
Leucocytes Visit 1 (Baseline), Visit 3 (Week 12) Plasma concentrations (cel/mcl)
Thyroid-stimulating hormone (TSH) Visit 1 (Baseline), Visit 3 (Week 12) Measured through plasma concentrations (mU/litre)
Dietary intake Visit 1 (Baseline), Visit 3 (Week 12) 24-h dietary recall and food frequency questionnaire
Isometric Knee Extension Strength Visit 1 (Baseline), Visit 3 (Week 12) Unit: Kilograms Measured with: Tindeq Progressor 200 dynamometer
Physical self-concept Visit 1 (Baseline), Visit 3 (Week 12) Unit: points Measured with: Physical self-concept questionnaire (CAF)
It consists of 36 items, grouped into 6 dimensions. The items are rated on a 5-point Likert-type scale, where 1 means false and 5 means true. The minimum and maximum scores per dimension are 6 and 30, respectively.Physical activity level Visit 1 (Baseline), Visit 3 (Week 12) Unit: MET-min per week Measured with: International Physical Activity Questionnaire (IPAQ)
Low: Individuals who do not meet the criteria for Moderate or High categories.
Moderate: Meeting one of the following criteria: (1) Three or more days of vigorous activity of at least 20 minutes per day. (2) Five or more days of moderate-intensity activity or walking of at least 30 minutes per day. (3) Five or more days of any combination of walking, moderate-intensity, or vigorous-intensity activities achieving a minimum of at least 600 MET-minutes per week.
High: Meeting one of the following criteria: (1) Vigorous-intensity activity on at least 3 days accumulating at least 1500 MET-minutes per week. (2) Seven or more days of any combination of walking, moderate-intensity, or vigorous-intensity activities accumulating a minimum of at least 3000 MET-minutes per week.Physical activity Visit 1 (Baseline), Visit 3 (Week 12) Unit: Steps and time (hours) Measured with: ActivPAL accelerometers
Handgrip strength Visit 1 (Baseline), Visit 3 (Week 12) Unit: Kilograms Measured with: Jamar plus dynamometer
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Trial Locations
- Locations (1)
Fabian Lanuza
🇨🇱Temuco, Araucanía, Chile