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Intake-dependent Effect of Cocoa Flavanol Absorption, Metabolism and Excretion in Humans

Intake-dependent Effect of Cocoa Flavanol Absorption, Metabolism and Excretion in Humans

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT03201822
Enrollment
14
Registered
2017-06-28
Start date
2013-04-01
Completion date
2013-05-25
Last updated
2017-06-28

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

Conditions

Healthy

Keywords

flavanol, ADME, cocoa flavanols, polyphenols

Brief summary

A randomized, double-masked and cross-over dietary intervention study in healthy young adult males to evaluate the concentration of F-derived metabolites in plasma and urine after single acute intakes of F-containing drinks on four different test days.

Detailed description

Flavanols (F) are plant-derived compounds commonly present in the human diet. Examples of F-containing foods and beverages are apples, chocolate, tea, wine, berries, pomegranate and nuts. The consumption of F-containing foods and beverages has been associated with improvements in cardiovascular health. In this context, there exists a great interest in describing the absorption, metabolism and excretion of F in humans, as it is thought that F-derived metabolites present in circulation are the mediators of F-beneficial effects in humans. Recently, we described a series of F-derived metabolites in circulation that are present after the consumption of a single acute intake amount of F in humans. A key question, however, is if the metabolites we observed after a single acute feeding are the same as those that occur in individuals who consume F-rich diets on a regular basis. Studies investigating the metabolism of numerous other xenobiotics have shown that the profile of metabolites can greatly vary over time, as well as with the amount of xenobiotic ingested. In this context, and considering that i) the amount of F-consumed from diet greatly varies among individuals, ii) recent epidemiology studies indicate that the vascular protective effects of F diets primarily occur when daily intake of F are relatively high; and iii) there is evidence of an intake amount-dependency on the vascular effects of F in dietary intervention studies; we submit it is important to assess whether or not there are F intake amount-dependent effects on the levels and profile of F-derived metabolites in humans. This study will provide new information concerning the F-derived metabolites that may be responsible for mediating F-beneficial effects in humans. We suggest the information that will be obtained from the outlined work will be particularly timely given ongoing discussion concerning the possible generation of dietary recommendations for F-rich foods.

Interventions

OTHER100 mg of Cocoa Flavanols/70 kg BW

Fruit-flavored non-dairy drink containing 100 cocoa flavanols/70kg BW.

OTHER200 mg of Cocoa Flavanols/70 kg BW

Fruit-flavored non-dairy drink containing 200 cocoa flavanols/70kg BW.

OTHER400 mg of Cocoa Flavanols/70 kg BW

Fruit-flavored non-dairy drink containing 400 cocoa flavanols/70kg BW.

OTHER1000 mg of Cocoa Flavanols/70 kg BW

Fruit-flavored non-dairy drink containing 1000 cocoa flavanols/70kg BW.

Sponsors

Mars, Inc.
CollaboratorINDUSTRY
University of California, Davis
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
CROSSOVER
Primary purpose
BASIC_SCIENCE
Masking
QUADRUPLE (Subject, Caregiver, Investigator, Outcomes Assessor)

Intervention model description

Randomized, double-masked and cross-over dietary intervention study in healthy young adult males

Eligibility

Sex/Gender
MALE
Age
25 Years to 40 Years
Healthy volunteers
Yes

Inclusion criteria

* No prescription medications * BMI 18.5 - 29.9 kg/m2 * Weight ≥ 110 pounds * previously consumed cocoa and peanut products, with no adverse reactions

Exclusion criteria

* Adults unable to consent * Prisoners * Non-English speaking\* * BMI ≥ 30 kg/m2 * Allergies to nuts, cocoa and chocolate products * Active avoidance of coffee and caffeinated soft drinks * Under current medical supervision * A history of cardiovascular disease, stroke, renal, hepatic, or thyroid disease * History of clinically significant depression, anxiety or other psychiatric condition * History of Raynaud's disease * History of difficult blood draws * Indications of substance or alcohol abuse within the last 3 years * Current use of herbal, plant or botanical supplements (multi-vitamin/mineral supplements are allowed) * Blood Pressure \> 140/90 mm Hg * GI tract disorders, previous GI surgery (except appendectomy) * Self-reported malabsorption (e.g. difficulty digesting or absorbing nutrients from food, potentially leading to bloating, cramping or gas) * Diarrhea within the last month, or antibiotic intake within the last month * Vegetarian, Vegan, food faddists, individuals using non-traditional diets, on a weight loss diet or individual following diets with significant deviations from the average diet * Metabolic panel results or complete blood counts that are outside of the normal reference range and are considered clinically relevant by the study physician * Screening LDL ≥ 190 mg/dl for those who have 0-1 major risk factors apart from LDL cholesterol (i.e. family history of premature coronary artery disease (male first degree relative \< 55 years; CHD in female first degree relative \< 65 years), cigarette smoker, HDL-C ≤ 40 mg/dL) * Screening LDL ≥ 160 mg/dl for those who have 2 major risk factors apart from LDL cholesterol (i.e. family history of premature coronary artery disease (male first degree relative \< 55 years; CHD in female first degree relative \< 65 years), cigarette smoker, HDL-C ≤ 40 mg/dL). (using NCEP calculator http://hp2010.nhlbihin.net/atpiii/calculator.asp?usertype=prof) * Screening LDL ≥ 130 mg/dl for those who have 2 major risk factors apart from LDL cholesterol (i.e. family history of premature coronary artery disease (male first degree relative \< 55 years; CHD in female first degree relative \< 65 years), cigarette smoker, HDL-C ≤ 40 mg/dL), and a Framingham 10-year Risk Score 10-20% (Framingham risk calculated using NCEP calculator http://hp2010.nhlbihin.net/atpiii/calculator.asp?usertype=prof) * Cold, flu, or upper respiratory condition at screening * Currently participating in a clinical or dietary intervention study

Design outcomes

Primary

MeasureTime frameDescription
Change in levels of gut microbiome derived metabolites in urineUrine collected 12h previous to intervention and up to 24 h after interventionGut microbiome derived metabolites include conjugates of 5-(3',4'-dihydroxyphenyl)-g-valerolatone metabolites
Change in levels of gut microbiome derived metabolites in plasmaPlasma collected before (0h) and up to 6h post interventionGut microbiome derived metabolites include conjugates of 5-(3',4'-dihydroxyphenyl)-g-valerolatone
Change in levels of structurally related epicatechin metabolites in urineUrine collected 12h previous to intervention and up to 24 h after interventionStructurally related epicatechin metabolites include sulfated, glucuronidated and/or methylated metabolites of epicatechin
Change in levels of structurally related epicatechin metabolites in plasmaPlasma collected before (0h) and up to 6h post interventionStructurally related epicatechin metabolites include sulfated, glucuronidated and/or methylated metabolites of epicatechin

Secondary

MeasureTime frameDescription
Composite of pharmacokinetic (PK) parameters of metabolites Elimination Rate ConstantBefore intervention (0h) and up to 24 h after interventionλZ: apparent terminal elimination rate constant in plasma;
Composite of pharmacokinetic (PK) parameters of metabolites Elimination Half-LifeBefore intervention (0h) and up to 24 h after interventiont1/2: apparent terminal elimination half-life in plasma;
Composite of pharmacokinetic (PK) parameters of metabolites Systemic ClearanceBefore intervention (0h) and up to 24 h after interventionCL/F: systemic clearance;
Composite of pharmacokinetic (PK) parameters of metabolites Maximum Plasma Concentration (CMax)Before intervention (0h) and up to 24 h after interventionPK parameters: Cmax: maximum observed concentration in plasma;
Composite of pharmacokinetic (PK) parameters of metabolites cumulative Amount Excreted in FecesBefore intervention (0h) and up to 24 h after interventionAef(0-t): Cumulative amount excreted in the feces over each sampling interval and the total interval examined.
Composite of pharmacokinetic (PK) parameters of metabolites Volume of DistributionBefore intervention (0h) and up to 24 h after interventionVd/F: apparent volume of distribution;
Composite of pharmacokinetic (PK) parameters of metabolites cumulative Amount Excreted in UrineBefore intervention (0h) and up to 24 h after interventionAeu(0-t): cumulative amount excreted in the urine over each
Composite of pharmacokinetic (PK) parameters of metabolites Renal ClearanceBefore intervention (0h) and up to 24 h after interventionCLR: renal clearance;sampling interval and the total interval examined;
Composite of pharmacokinetic (PK) parameters of metabolites Time to Maximum Plasma ConcentrationBefore intervention (0h) and up to 24 h after interventiontmax: time to maximum concentration in plasma;
Composite of pharmacokinetic (PK) parameters of metabolites Area Under the CurveBefore intervention (0h) and up to 24 h after interventionAUC0-t: area under the plasma concentration-time curve from hour 0 to the last measurable concentration in plasma;
Composite of pharmacokinetic (PK) parameters of metabolites Area Under the Curve extrapolated to infinityBefore intervention (0h) and up to 24 h after interventionAUC0-∞: area under the plasma concentration-time curve extrapolated to infinity;

Countries

United States

Outcome results

None listed

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