- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT06086145
Biomarker-estimated Flavanol Intake in Davis (FID) (FID)
September 10, 2026 updated by: University of California, Davis
Flavanol Intake in Davis (FID) Study: Biomarker-estimated Habitual (-)-Epicatechin and Flavanol Intake in Adults
Flavanols are compounds present in plants, including apples, berries, peaches, cocoa-derived products and certain beverages like tea.
Following intake, they are absorbed and broken down into smaller compounds called 'metabolites'.
Some of these metabolites are excreted in urine.
In this study, we hope to collect urine and examine the metabolites to learn more about the types and amounts of flavanols that people are consuming as part of their usual diet.
Study Overview
Status
Active, not recruiting
Intervention / Treatment
Detailed Description
Flavanols, including the monomers (-)-epicatechin and (+)-catechin, and their related oligomeric derivatives, the procyanidins, are a group of plant-derived, dietary bioactives amply present in the diet.
Supported by accumulating epidemiological studies and outcomes from the first large-scale randomized study with bioactives, the COcoa Supplement and Multivitamin Outcomes Study (COSMOS), the Academy of Nutrition and Dietetics released the first dietary recommendation for flavan-3-ols intake in the United States (US).
This recommendation suggests the consumption of 400-600 mg/d of flavan-3-ols to mediate cardiometabolic beneficial effects, including the reduction of cardiovascular disease risk.
While previous studies have aimed at assessing dietary intake of this group of bioactives, the tools used for these assessments were based on dietary questionnaires and food content databases.
These tools are subjective and known to present significant limitations.
Recently, our laboratory developed a series of nutritional biomarkers to objectively assess flavanol intake and thus, overcome limitations inherent to previous methods.
These biomarkers are based on the quantification of a series of flavanol metabolites, including the 5-(3,4-dihydrophenyl)-γ-valerolactone metabolites (gVLM) and the structurally related (-)-epicatechin metabolites (SREMs).
These biomarkers provide complementary information; as while gVLM provide information about the intake of flavanols in general, SREMs are specific biomarkers of (-)-epicatechin intake.
In addition, gVLM are surrogate biomarkers, which means that this biomarker allows ranking volunteers from low to high flavanol consumers without providing information on absolute intake.
On the other hand, SREMs proved to perform as a recovery biomarker when assessed in 24-hour urine, thus providing absolute amount of (-)-epicatechin consumed.
While gVLM and SREM biomarkers have been used to assess the intake of flavanols and epicatechin in the United Kingdom, little is known about biomarker-estimated intake of flavanols in the US, and even less when considering the use of SREM as a recovery biomarker.
Therefore, the characterization of flavanol and epicatechin intake in a US population will provide essential information to understand efforts to promote flavanol intake based on current dietary recommendations and thus increase access of the health benefit related to the consumption of these bioactives to the public in general.
Study Type
Observational
Enrollment (Estimated)
200
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Locations
-
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California
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Davis, California, United States, 95618
- University of California Davis
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-
Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Yes
Sampling Method
Non-Probability Sample
Study Population
Free living adults in Davis and the greater Sacramento area of California.
Description
Inclusion criteria:
- 25 - 75 years old
- Male or female
- BMI 18.5 - 34.9 kg/m2
- Weight ≥ 110 pounds
- Computer, tablet or smart phone with cellular data/Wi-Fi to establish video call communication
Exclusion criteria:
- Adults unable to consent
- Prisoners
- Non-English speaking*
- BMI ≥ 35 kg/m2
- Indications of substance or alcohol abuse within the last 3 years
- Cancer of the GI tract, previous GI surgery (except appendectomy) or GI stoma
- History of difficult blood draws
- Diarrhea, defined as 3 or more loose or liquid stools/day, within the last 3 months or antibiotic intake within the last 3 months
Currently participating in a clinical or dietary intervention study
- Non-English speaking volunteers will be excluded for safety reasons, as we do not have staff that can adequately provide interpretation services that can explain and answer questions with regard to study procedures.
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
|---|---|
|
Adults in Davis and the greater Sacramento area of California
|
No intervention
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Biomarker-estimated (-)-epicatechin and flavanol intake
Time Frame: 1 day
|
Biomarker-estimated habitual (-)-epicatechin and flavanol intake assessed as the urinary concentration of SREM and gVLM in 24 hr urine.
|
1 day
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Subgroup analysis of biomarker-estimated (-)-epicatechin and flavanol intake by age, sex, anthropometric and clinical characteristics
Time Frame: 1 day
|
Characterization of biomarker-estimated habitual (-)-epicatechin and flavanol intake (assessed as urinary concentrations of SREM and gVLM in 24 hr urine) by age, sex, anthropometric and clinical (health or disease status) characteristics.
|
1 day
|
|
Change of biomarker-estimated (-)-epicatechin and flavanol intake as a function of the intake of individual foods
Time Frame: 1 day
|
Change of the biomarker-estimated habitual (-)-epicatechin and flavanol intake (assessed as the urinary concentration of SREM and gVLM in 24 hr urine) as a function of the intake of individual foods (assessed by the Automated Self-Administered 24-Hour (ASA24) Dietary Assessment Tool).
|
1 day
|
|
Change of biomarker-estimated (-)-epicatechin and flavanol intake as a function of diet quality
Time Frame: 1 day
|
Change of the biomarker-estimated habitual (-)-epicatechin and flavanol intake (assessed as the urinary concentration of SREM and gVLM in 24 hr urine) as a function of diet quality (assessed by food frequency questionnaire; Diet History Questionnaire III (DHQ III)).
|
1 day
|
|
Inter-day variation of biomarker-estimated (-)-epicatechin and flavanol intake
Time Frame: 1 day
|
Inter-day variation of the biomarker-estimated habitual (-)-epicatechin and flavanol intake (assessed as the urinary concentration of SREM and gVLM in 24 hr urine) in a sub-cohort of volunteers.
|
1 day
|
|
Biomarker-estimated (-)-epicatechin and flavanol intake in spot urine
Time Frame: 1 day
|
Biomarker-estimated habitual (-)-epicatechin and flavanol intake assessed as the urinary concentration of SREM and gVLM in spot urine.
|
1 day
|
Other Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Blood pressure
Time Frame: 1 day
|
Systolic and diastolic blood pressure will be measured as determined with SphygmoCor® XCEL.
|
1 day
|
|
Augmentation index
Time Frame: 1 day
|
Augmentation index will be measured as determined with SphygmoCor® XCEL.
|
1 day
|
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Lipid panel
Time Frame: 1 day
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Lipid panel will be assessed using validated methods by a Clinical Laboratory Improvement Amendments (CLIA)-certified laboratory.
|
1 day
|
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Other Urine Measures
Time Frame: 1 day
|
Sodium, potassium, calcium, specific gravity, urea, creatinine, and urine chemistry.
|
1 day
|
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Other Intake Biomarkers
Time Frame: 1 day
|
Magnesium, vitamin C, methylxanthines, sugar intake biomarkers, fiber/whole grain intake biomarkers, polyphenol intake biomarkers (hippuric acids) and meat intake biomarkers (methylhistidines).
|
1 day
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Sponsor
Collaborators
Investigators
- Principal Investigator: Francene M. Steinberg, PhD, RD, University of California, Davis
Publications and helpful links
The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.
General Publications
- Ottaviani JI, Fong R, Kimball J, Ensunsa JL, Britten A, Lucarelli D, Luben R, Grace PB, Mawson DH, Tym A, Wierzbicki A, Khaw KT, Schroeter H, Kuhnle GGC. Evaluation at scale of microbiome-derived metabolites as biomarker of flavan-3-ol intake in epidemiological studies. Sci Rep. 2018 Jun 29;8(1):9859. doi: 10.1038/s41598-018-28333-w.
- Bhagwat, S. and Haytowitz, D.B. (2015). USDA Database for the Proanthocyanidin Content of Selected Foods, Release 2 (2015). Nutrient Data Laboratory, Beltsville Human Nutrition Research Center, ARS, USDA. https://doi.org/10.15482/USDA.ADC/1324621.
- Bhagwat, S. and Haytowitz, D.B. (2016). USDA Database for the Flavonoid Content of Selected Foods. Release 3.2 (November 2015). Nutrient Data Laboratory, Beltsville Human Nutrition Research Center, ARS, USDA. https://doi.org/10.15482/USDA.ADC/1324465.
- Raman G, Avendano EE, Chen S, Wang J, Matson J, Gayer B, Novotny JA, Cassidy A. Dietary intakes of flavan-3-ols and cardiometabolic health: systematic review and meta-analysis of randomized trials and prospective cohort studies. Am J Clin Nutr. 2019 Nov 1;110(5):1067-1078. doi: 10.1093/ajcn/nqz178.
- Sesso HD, Manson JE, Aragaki AK, Rist PM, Johnson LG, Friedenberg G, Copeland T, Clar A, Mora S, Moorthy MV, Sarkissian A, Carrick WR, Anderson GL; COSMOS Research Group. Effect of cocoa flavanol supplementation for the prevention of cardiovascular disease events: the COcoa Supplement and Multivitamin Outcomes Study (COSMOS) randomized clinical trial. Am J Clin Nutr. 2022 Jun 7;115(6):1490-1500. doi: 10.1093/ajcn/nqac055.
- Crowe-White KM, Evans LW, Kuhnle GGC, Milenkovic D, Stote K, Wallace T, Handu D, Senkus KE. Flavan-3-ols and Cardiometabolic Health: First Ever Dietary Bioactive Guideline. Adv Nutr. 2022 Dec 22;13(6):2070-2083. doi: 10.1093/advances/nmac105.
- Wang Y, Chung SJ, Song WO, Chun OK. Estimation of daily proanthocyanidin intake and major food sources in the U.S. diet. J Nutr. 2011 Mar;141(3):447-52. doi: 10.3945/jn.110.133900. Epub 2011 Jan 26.
- Bai W, Wang C, Ren C. Intakes of total and individual flavonoids by US adults. Int J Food Sci Nutr. 2014 Feb;65(1):9-20. doi: 10.3109/09637486.2013.832170. Epub 2013 Sep 11.
- Kuhnle GGC. Nutrition epidemiology of flavan-3-ols: The known unknowns. Mol Aspects Med. 2018 Jun;61:2-11. doi: 10.1016/j.mam.2017.10.003. Epub 2017 Nov 16.
- Ottaviani JI, Fong R, Kimball J, Ensunsa JL, Gray N, Vogiatzoglou A, Britten A, Lucarelli D, Luben R, Grace PB, Mawson DH, Tym A, Wierzbicki A, Smith AD, Wareham NJ, Forouhi NG, Khaw KT, Schroeter H, Kuhnle GGC. Evaluation of (-)-epicatechin metabolites as recovery biomarker of dietary flavan-3-ol intake. Sci Rep. 2019 Sep 11;9(1):13108. doi: 10.1038/s41598-019-49702-z.
- Ottaviani JI, Borges G, Momma TY, Spencer JP, Keen CL, Crozier A, Schroeter H. The metabolome of [2-(14)C](-)-epicatechin in humans: implications for the assessment of efficacy, safety, and mechanisms of action of polyphenolic bioactives. Sci Rep. 2016 Jul 1;6:29034. doi: 10.1038/srep29034.
- Ottaviani JI, Britten A, Lucarelli D, Luben R, Mulligan AA, Lentjes MA, Fong R, Gray N, Grace PB, Mawson DH, Tym A, Wierzbicki A, Forouhi NG, Khaw KT, Schroeter H, Kuhnle GGC. Biomarker-estimated flavan-3-ol intake is associated with lower blood pressure in cross-sectional analysis in EPIC Norfolk. Sci Rep. 2020 Oct 21;10(1):17964. doi: 10.1038/s41598-020-74863-7.
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (Actual)
November 2, 2023
Primary Completion (Estimated)
December 1, 2026
Study Completion (Estimated)
December 1, 2026
Study Registration Dates
First Submitted
September 7, 2023
First Submitted That Met QC Criteria
October 12, 2023
First Posted (Actual)
October 17, 2023
Study Record Updates
Last Update Posted (Actual)
September 14, 2026
Last Update Submitted That Met QC Criteria
September 10, 2026
Last Verified
September 1, 2026
More Information
Terms related to this study
Other Study ID Numbers
- 2052789
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
NO
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
No
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