Effects of Quercetin on Metabolic Health
NCT05297032 · Status: TERMINATED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 5
Last updated 2023-01-10
Summary
Quercetin is a natural flavonoid compound widely found in vegetables, fruits, and nuts. It has a long history of use as a dietary supplement. This study aims to assess results from a computational model suggesting that quercetin may offer novel benefits to metabolic health. Participants will take quercetin (as Quercetin Phytosome, a proprietary formulation with enhanced absorption properties) for 90 days while keeping lifestyle habits consistent throughout to estimate net effects of quercetin as much as possible. Blood samples will be collected at the beginning and end of the study to assess the effects of quercetin supplementation on metabolic health metrics such as LDL cholesterol, blood sugar, liver, kidney and immune function and calculated metabolic age. In addition, questionnaires will be completed to ensure compliance with study requirements and assess potential quercetin benefits in the participants' quality of life. This work will provide a proof-of-concept from a computational model of nutraceutical compounds and proposes a new application of quercetin in support of healthy human metabolism.
Conditions
- Quercetin
- Lipid Metabolism
- Aging
Interventions
- DIETARY_SUPPLEMENT
-
Quercetin Phytosome
All participants will ingest 1 capsule of Quercetin Phytosome (250 mg) three times daily with meals for 90 days.
Sponsors & Collaborators
-
Indena S.p.A
collaborator INDUSTRY -
Thorne HealthTech, Inc
lead INDUSTRY
Principal Investigators
-
Stephen Phipps, ND, PhD · Thorne HealthTech, Inc
-
Loukia Lili, PhD · Thorne HealthTech, Inc
Study Design
- Allocation
- NA
- Purpose
- BASIC_SCIENCE
- Masking
- NONE
- Model
- SINGLE_GROUP
Eligibility
- Min Age
- 20 Years
- Max Age
- 70 Years
- Sex
- ALL
- Healthy Volunteers
- Yes
Timeline & Regulatory
- Start
- 2022-03-24
- Primary Completion
- 2022-08-31
- Completion
- 2022-09-02
Countries
- United States
Study Locations
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