Effects of Flavonoid Foods on Carbonyl Stress
Purpose
This randomized crossover study will compare low- and high-flavonoid diets in healthy adults to identify flavonoid-derived biomarkers in urine and plasma. Using targeted liquid chromatography-mass spectrometry (LC-MS) metabolomics, researchers will measure known and novel flavonoid metabolites and evaluate whether a higher flavonoid intake reduces carbonyl stress markers, including reactive carbonyl species (RCS) and advanced glycation end products (AGEs).
Conditions
- Human Health
- Flavonoids
- Carbonyl Stress
Eligibility
- Eligible Ages
- Between 25 Years and 70 Years
- Eligible Sex
- All
- Accepts Healthy Volunteers
- Yes
Inclusion Criteria
- Age 25-70 years - BMI between 18 and 30 - Have no known allergy to test food - Have no known allergies to green tea, apples, blueberries, soy milk, or pineapples - Be not engaging in high-intensity exercise - Having blood and urine clinical tests in the normal range. - Be not taking antibiotics for six months - Be not currently taking medication - No taking any prescription drugs - All flavonoid-enriched supplements should be avoided. The flavonoid-enriched supplements list includes soy isoflavones, Lipo-Flavonoid, Citrus Bioflavonoids Complex, Super Flavonoids, Super Antioxidants, Quercetin Supplement, Essential-C, flavonoids, and milk thistle. Also other flavonoid supplements, including but not limited to luteolin, Rutin, etc. - No drugs or supplements within three weeks of the experiment - Be nonsmoking - Have no alcoholic intoxication - No alcoholic addiction - < 3-4 drinks per week (less than 2 glasses (300 mL) per drink) - No alcohol within three weeks of the experiment - Have no extended exposure to industrial wastes
Exclusion Criteria
- Disease: gout, heart disease, peripheral vascular disease, degenerative kidney, degenerative liver, diabetes, GI disorders, or endocrine disorders - Cancer patients - Currently diagnosed cancer patients will be excluded. - Medication-free for >2 years could be considered.
Study Design
- Phase
- N/A
- Study Type
- Interventional
- Allocation
- Randomized
- Intervention Model
- Crossover Assignment
- Primary Purpose
- Treatment
- Masking
- None (Open Label)
Arm Groups
| Arm | Description | Assigned Intervention |
|---|---|---|
|
Experimental High-Flavonoid Diet, Then Low-Flavonoid Diet |
All participants will first complete a 2-week low-flavonoid wash-in period. Participants in this sequence will then consume the high-flavonoid diet for 3 weeks, complete a 3-week low-flavonoid washout period, and then consume the low-flavonoid diet for 3 weeks. |
|
|
Experimental Low-Flavonoid Diet Followed by High-Flavonoid Diet |
All participants will first complete a 2-week low-flavonoid wash-in period. Participants in this sequence will then consume the low-flavonoid diet for 3 weeks, complete a 3-week low-flavonoid washout period, and then consume the high-flavonoid diet for 3 weeks. |
|
Recruiting Locations
Kannapolis, North Carolina 28081
More Details
- Status
- Recruiting
- Sponsor
- North Carolina Agriculture & Technical State University
Detailed Description
Biomarkers of flavonoids and flavonoid-rich foods are needed to monitor diets. Monitoring diets and associating dietary patterns with health risks and outcomes is an essential step in the research process. The goal of this study is to determine the time- and dose-dependent formation of novel flavonoid metabolites in urine and plasma samples by conducting a randomized crossover trial of two dietary interventions with low (~140 mg flavonoids/day) and high (~420 mg flavonoids/day) flavonoid diets among healthy individuals. Foods with high or low flavonoid content will be incorporated into participants' usual diets. Liquid chromatography-mass spectrometry (LCMS)-based targeted metabolomics will be used to assess flavonoid metabolites, including novel RCS-conjugated and oxidized flavonoid metabolites, and to determine whether consuming a flavonoid-rich diet will lead to a decrease in carbonyl stress as measured by RCS and related advanced glycation end products (AGEs). Investigators will determine the changes in the major RCS and related AGEs after each intervention period using LCMS and examine the relationship between changes in RCS and AGEs and the formation of flavonoid RCS conjugates