Plasma Lipids-Dependent Vitamin E Metabolism During Dynamic Hyperlipidemia
Plasma Lipids-dependent Vitamin E Metabolism During Dynamic Hyperlipidemia
2 other identifiers
interventional
48
1 country
1
Brief Summary
Background: Obesity is known to lead to diseases such as diabetes and high cholesterol (or fats) in the blood (hyperlipidemia). But no one knows why. Researchers think that high levels of fat in the blood may block important nutrients, such as vitamin E, from reaching places they are needed in the body. Objective: To learn how high-fat meals affect levels of vitamin E in the blood. Eligibility: People aged 18 to 65 with high blood fat levels. Healthy volunteers are also needed. Design: Participants will have 3 or 4 clinic visits in 3 months. The last visit will require them to stay in the clinic for 2 nights. Participants will be screened. They will have a physical exam and blood tests. After this visit, all participants must stop taking any dietary supplements. Those who use them must also stop taking any drugs to lower their blood sugar and blood fats. These participants will have an extra visit for blood tests after 60 days. The next visit will include 2 imaging scans: Magnetic resonance imaging (MRI) of the abdomen. This scan will check for fat in the liver. Dual-energy X-ray absorptiometry (DEXA). This scan measures the levels of body fat. On day 1 of the clinic stay, participants will have 2 set meals, with nothing but water after 10 pm. On day 2, they will drink high-fat shakes at 9am, 1pm, and 5pm. They will have blood draws every 30 minutes for the first hour, every hour the next 16 hours, and then every 2 hours until 7 am. The blood will be taken from a tube inserted into a vein and left in place for the day. On day 3, they will go home.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P25-P50 for not_applicable
Started Oct 2026
Typical duration for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
July 18, 2026
CompletedFirst Posted
Study publicly available on registry
July 21, 2026
CompletedStudy Start
First participant enrolled
October 7, 2026
ExpectedPrimary Completion
Last participant's last visit for primary outcome
November 30, 2028
Study Completion
Last participant's last visit for all outcomes
March 31, 2029
October 2, 2026
September 23, 2026
2.2 years
July 18, 2026
October 1, 2026
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
AUC (Area Under the Curve) of vitamin E plasma from hour 1 to hour 23 by cohort.
Compare the effects of postprandial hypertriglyceridemia on plasma vitamin E dynamics in subjects between baseline normo- and hyperlipidemia.
From hour 1 to hour 23
Secondary Outcomes (1)
AUC of gamma-tocopherol, phylloquinone [K1]; menaquinone [K2]; 25-OH vitamin D; retinol [A] from hour 1 to hour 23 by cohort.
From hour 1 to hour 23
Study Arms (2)
Healthy subjects
ACTIVE COMPARATORThree consecutive high-fat vitamin E-stripped meals
Subjects with hyperlipidemia
EXPERIMENTALThree consecutive high-fat vitamin E-stripped meals
Interventions
Three consecutive high-fat vitamin E-stripped meals
Eligibility Criteria
You may qualify if:
- Cohort 1
- Males and females aged 18 to 65 years.
- BMI 18.5 26.9 kg/m\^2 .
- Able to understand the study procedures and provide written consent, and willing to comply with all scheduled follow-up visits and assessments.
- Normotensive and not on antihypertensive medications, blood pressure 90-129/60-84.
- Not on glucose-lowering or lipid-lowering medications.
- At screening, laboratory values meet all of the following:
- HbA1c \< 5.7%,
- Fasting triglycerides \< 150 mg/dL
- LDL \< 100 mg/dL
- \. Liver fat \< 2%.
- Cohort 2
- Males and females aged 18 to 65 years.
- BMI \> 26.0 to \< 36.0 kg/m2.
- Able to understand the study procedures and provide written informed consent, and willing to comply with all scheduled follow-up visits and assessments.
- +6 more criteria
You may not qualify if:
- Women who are pregnant or currently breastfeeding.
- Subjects younger than 18 years old. This age group has a broad spectrum of hormonal profiles due to development and puberty, which significantly increases the heterogenicity of study subjects.
- Subjects older than 65 years. This age group has significantly increased risk of cardiovascular diseases. To minimize the risk from temporarily suspending lipid- and glucose-lowering medications and the stress from serial blood draws, these individuals are excluded.
- Heavy alcohol use within past 12 months (males: \>2 drinks per day or \>14 drinks per week; females: \>1 drink per day or \>7 drinks per week).
- Current smoker, or former smoker who quit smoking less than 15 years ago.
- Subjects with weight changes greater than 20% of baseline body weight (self-reported or documented within past 12 months) over the past 3 months at outpatient visit 1, or change from outpatient visit 1 during screening.
- Subjects with lactose intolerance who are unwilling to take lactase.
- Subjects with type 1 diabetes.
- Subjects with hemoglobin \<11 g/dL or hematocrit \<33%.
- Subjects with clinically significant abnormal liver function test results.
- Subjects with liver fat \>= 2% on abdominal MRI.
- Subjects with a history of pancreatitis, diabetes ketoacidosis, hyperosmolar hyperglycemic state, advanced atherosclerosis, cardiovascular diseases, kidney diseases, or liver diseases.
- Subjects with fat malabsorption, including a history of gastrointestinal surgery, pancreatic insufficiency, inflammatory bowel disease, celiac disease, moderate-to-severe irritable bowel syndrome, or pathologic mutations impacting lipoprotein metabolism.
- Subjects on glucocorticoids for more than 1 week (not including topical glucocorticoids) within past 3 months.
- Subjects with HIV.
- +7 more criteria
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
National Institutes of Health Clinical Center
Bethesda, Maryland, 20892, United States
Related Publications (1)
Traber MG, Leonard SW, Ebenuwa I, Violet PC, Wang Y, Niyyati M, Padayatty S, Tu H, Courville A, Bernstein S, Choi J, Shamburek R, Smith S, Head B, Bobe G, Ramakrishnan R, Levine M. Vitamin E absorption and kinetics in healthy women, as modulated by food and by fat, studied using 2 deuterium-labeled alpha-tocopherols in a 3-phase crossover design. Am J Clin Nutr. 2019 Nov 1;110(5):1148-1167. doi: 10.1093/ajcn/nqz172.
PMID: 31495886BACKGROUND
Related Links
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Robert D Shamburek, M.D.
National Heart, Lung, and Blood Institute (NHLBI)
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NON RANDOMIZED
- Masking
- NONE
- Purpose
- BASIC SCIENCE
- Intervention Model
- PARALLEL
- Sponsor Type
- NIH
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
July 18, 2026
First Posted
July 21, 2026
Study Start (Estimated)
October 7, 2026
Primary Completion (Estimated)
November 30, 2028
Study Completion (Estimated)
March 31, 2029
Last Updated
October 2, 2026
Record last verified: 2026-09-23
Data Sharing
- IPD Sharing
- Will share
- Shared Documents
- STUDY PROTOCOL, ICF
- Time Frame
- Beginning following de-identification and publication of the primary results, or other prespecified time point, and continuing for as long as the repository or access mechanism remains available.
- Access Criteria
- Access to de-identified individual participant data will be determined based on the sensitivity of the data and disclosure risk. Data appropriate for broad sharing may be deposited in an open-access repository. Data requiring additional protections may be made available through a controlled-access mechanism subject to review and any applicable agreements.
De-identified individual participant data underlying results reported in publications may be shared. Depending on the sensitivity of the dataset and risk of re-identification, data may be made available through either an open-access repository or a controlled-access repository, consistent with informed consent, institutional review, and applicable policies.@@@@@@