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Effects of Flavanol-rich Dark Chocolate Consumption on Metabolic Profiles Among Obese Adults Using Metabolomics Approach

Effects of Flavanol-rich Dark Chocolate Consumption on Metabolic Profiles Among Obese

Status
UNKNOWN
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT04347304
Enrollment
74
Registered
2020-04-15
Start date
2022-03-23
Completion date
2022-09-01
Last updated
2022-04-04

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Obesity

Keywords

Obesity, Cocoa polyphenols, Dark chocolate

Brief summary

Obesity has become a global issue due to its alarming high and increasing prevalence worldwide and the roles it plays in occurrence of many chronic diseases. In addition, obesity is characterized as a state of chronic, low-grade inflammation and is associated with an abnormal inflammatory response, low antioxidant capacity and reduced insulin sensitivity which lead to the generation of inflammation, oxidative stress and insulin resistance. As in Malaysia, study by National Health and Morbidity Survey Malaysia (NHMS) in 2011 and 2015 showed a continuing increase of the problem. In response to the rise of obesity prevalence, various efforts and strategies have been implemented in the past decade to combat this problem. The use of natural products as therapeutic agents in preventing metabolic disease has becoming popular. Cocoa and its products is a largely consumed food in the world. It has a very rich sources of phenolic compound. Several in vitro and in vivo studies have shown that polyphenols, with antioxidant, anti-inflammatory and anti-obesity properties, can boost energy expenditure and thermogenesis, lessen oxidative stress and inflammation while supporting weight loss management. Furthermore, the contribution of human studies especially among obese relatively limited. The popularity of chocolate and/or cocoa and its frequent consumption made it the target of many research studies, due to its favourable effects, and to the significant role it may exert on improving the obesity condition. Therefore, this study aims to investigate the effects of flavanol-rich dark chocolate consumption on metabolic profiles of obese adults using metabolomic approach.

Detailed description

Overnutrition and sedentary lifestyle are the leading factors associated with the development of obesity. Obese adults usually are advised to make lifestyle modifications which include dietary restriction and physical activity recommendation. In addition, dietary supplements and medication such as anti-hypertensive, lipid lowering drugs are used to achieved targeted body weight of obese adult. Therefore, the confounding factors in this study namely dietary intake, physical activity, medication, supplements were controlled throughout the study. These factors including smoking were also controlled as it will affect the metabolites. Imbalance between energy intake and expenditure results in adipose tissue expansion due to excessive lipogenesis in adipose tissues. Generally, it is well accepted that adipose tissue expansion in an obese state is accompanied by elevated inflammation. Oxidative stress and pro-inflammatory processes are strongly related. Increased abdominal adipose tissue accelerates the production of pro-inflammatory cytokines which promote increased generation of ROS, both inflammation and oxidative stress play a significant role in the development of insulin resistant thus further are associated with the degree of metabolic dysfunction. It was hypothesized that cocoa flavanol with the properties of anti-inflammation, anti-oxidative and antiobesity properties may reduce the oxidative stress and inflammation, subsequently reduce the insulin resistance and thus improved the outcome measurements in obese adult. In order to measures the altered metabolite in the urine and blood serum following cocoa rich flavanol consumption in dark chocolate in obese adult, a metabolomics based approach is used in this study. This study is a randomized, open-labelled, parallel controlled trial where the intervention group will receive 20 grams of dark chocolate, daily for 12 weeks while the control group will receive 20 grams of white chocolate daily for 12 weeks. Measurement will be taken including sociodemographic, anthropometric measurement, diet and physical activity questionnaire, blood and urine samples at baseline and 12 weeks of intervention. Obese male adult aged 18-45 years old will be recruited

Interventions

DIETARY_SUPPLEMENTDark chocolate (20 grams) per day providing 508 mg of polyphenols

subjects will be given 21 grams of dark chocolate providing 289 mg of polyphenols per day for 12 weeks.

DIETARY_SUPPLEMENTwhite chocolate (20 grams) with no polyphenols

subjects will be given 21 grams of white chocolate (0 mg polyohenols) per day for 12 weeks

Sponsors

Universiti Putra Malaysia
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
TREATMENT
Masking
NONE

Intervention model description

A randomized, open-labelled, parallel controlled trial will be conducted in Universiti Putra Malaysia from October 2021 until December 2022 involving obese adult aged 18 - 45 years.

Eligibility

Sex/Gender
ALL
Age
18 Years to 45 Years
Healthy volunteers
Yes

Inclusion criteria

* Malaysian * Obese BMI ≥ 25.0 kg/m2 * Not on any drug or herbal preparation, antioxidative or any drugs or dietary supplement. * Do not have any chronic diseases * Do not have allergy to cocoa * Age 18-45 years old.

Exclusion criteria

* Non-Malaysian * BMI \< 25.0 kg/m2 * Smokers and alcohol drinkers * Participants with cardiovascular diseases, hypertension or diabetes * Participants taking medications that affect insulin, glucose, lipid or blood pressure levels * Participants taking any dietary supplements * Have allergy towards cocoa beverages * Participants who are currently involved in a weight management program

Design outcomes

Primary

MeasureTime frameDescription
change in insulin resistance at 12 weekbaseline and 8 weeksInsulin resistance will be determined HOMA-IR and calculated as HOMA-IR = fasting serum x fasting blood glucose/22.5.
change in insulin sensitivity at 8 weeksbaseline and 8 weeksTo assess insulin sensitivity, Quantitative Insulin Sensitivity Check Index (QUICKI) will be used and cutt off point of less than 0.33 indicates reduced insulin sensitivity

Secondary

MeasureTime frameDescription
change in lipid profiles (TG, HDL-c, LDL-c, TC) at 8 weeksbaseline and 8 weeksLipid profiles (TG, Cholesterol, LDL-c, and HDL-c) will be determined using commercially available kits using Architect ci8200 analyzer
change in inflammatory markers (C-reactive protein ) at 8 weekbaseline and 8 weeksC-reactive protein will be measured using kits of human inflammatory cytokines by Enzyme Linked Inmuno Sorbent Assay from blood serum and will be expressed as mg/L.
change in body weight at 8 weeksbaseline and 8 weeksBody weight will be measured in kilograms using SECA electronic scale model 703.
changes in metabolomics profiles following flavanol-rich dark chocolate consumption at 8 weekbaseline and 8 weeksMetabolomic analysis of the plasma sample will be performed using 1H-NMR platform
changes in gut microbiome status following flavanol-rich dark chocolate consumption at 8 weekbaseline and 8 weeksmetagenomic analysis of fecal samples will be analysed at the beginning and end (8 weeks)
change in oxidative stress markers (oxidized LDL) at 8 weekbaseline and 8 weeksLevels of LDL-ox in plasma will be analysed at the beginning and the end (8 weeks) and will be expressed as mg/L.
change in waist circumference at 8 weeksbaseline and 8 weeksWaist circumference will be assessed at the midpoint between the lowest rib andd the iliac crest using a non-stretchable tape measure. The measurement will be conducted twice to the nearest 0.1cm. The cutoff points for waist ciircumference by WHO expert committee on obesity in Asian and Pacific populations are \>90 cm for men and \>80cm fro women.

Countries

Malaysia

Contacts

Primary ContactZulfitri Azuan Mat Daud, PhD
zulfitri@upm.edu.my+60397692431

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026