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Lipoprotein Interactions and Platelet Function in Healthy Individuals and Those With Lipid Disorders

Lipoprotein Functions in Healthy Individuals and Subjects With Lipid Disorders

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT06747000
Enrollment
80
Registered
2024-12-24
Start date
2024-07-18
Completion date
2029-07-18
Last updated
2025-10-01

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

Conditions

Lipid Disorders

Keywords

lipids, lipoproteins, platelets, high cholesterol

Brief summary

This study looks at how lipoproteins, which are particles in the blood that transport cholesterol, influence heart and blood vessel health. Beyond just their levels, the way these particles function plays a key role in preventing or contributing to disease. In some conditions, like high cholesterol or diabetes, lipoproteins may not work properly, increasing the risk of clogged arteries and other complications. The investigators aim to study these changes in people with lipid disorders to better understand their impact on blood health and to find new ways to prevent and treat heart disease.

Detailed description

Traditionally, lipoproteins have been associated with cardiovascular protection, but emerging research indicates that their functionality may be a more critical factor than their levels in evaluating cardiovascular risk. Lipoproteins, such as HDL, LDL, and VLDL, play vital roles in processes like reverse cholesterol transport and demonstrate anti-inflammatory, antioxidative, and antiplatelet properties. However, in conditions like atherosclerosis, diabetes, and dyslipidemia, these lipoproteins often become dysfunctional, and the mechanisms behind this dysfunction remain incompletely understood. This study aims to thoroughly investigate the pathogenic roles of lipoproteins by examining their structural and functional modifications and their influence on platelet activity in individuals with lipid disorders.

Interventions

None listed

Sponsors

The Miriam Hospital
Lead SponsorOTHER

Study design

Observational model
CASE_CONTROL
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to 69 Years
Healthy volunteers
Yes

Inclusion criteria

* Healthy volunteers * Abnormalities in lipid panels * Able to provide informed consent * Between the age of 18 and 69

Exclusion criteria

* Drug or alcohol abuse within 6 months or significant mental/psychological impairment * Current smokers * Subjects with known bleeding disorders (for example, hemophilia) * Subjects requiring regular transfusions for any reason * No ethnic/racial groups will be excluded

Design outcomes

Primary

MeasureTime frameDescription
Percentage of platelet aggregation5 yearsPlatelet aggregation area under the curve will be used as primary endpoint. Specifically, the percentage of platelet aggregation multiple time will be calculated to get area under the curve as a comprehensive marker for platelet aggregation response.

Secondary

MeasureTime frameDescription
Plasma levels of CRP in mg/L5 yearsInflammatory markers will be measured as secondary endpoints to evaluate systemic inflammation. Plasma levels of C-reactive protein (CRP) will be reported in milligrams per liter (mg/L) using enzyme-linked immunosorbent assay (ELISA) or similar validated methods. Data will be summarized using statistical measures such as mean ± standard deviation, and comparisons will be made across study groups and time points.
Plasma levels of resolvins in pg/mL5 yearsSpecialized pro-resolving mediators (SPMs) will be measured as secondary endpoints to assess their role in inflammation resolution. Plasma levels of resolvins will be quantified using liquid chromatography-tandem mass spectrometry (LC-MS/MS) and reported in picograms per milliliter (pg/mL). Data will be summarized using statistical measures such as mean ± standard deviation, and comparisons will be made across study groups and time points.
Plasma Levels of IL-6 in pg/mL5 yearsInflammatory markers will be measured as secondary endpoints to evaluate systemic inflammation. Plasma levels of interleukin-6 (IL-6) will be quantified in picograms per milliliter (pg/mL) using enzyme-linked immunosorbent assay (ELISA) or similar validated methods. Data will be summarized using statistical measures such as mean ± standard deviation, and comparisons will be made across study groups and time points.
Percentage of Activated Platelets as Assessed by Flow Cytometry5 yearsPlatelet activation will be assessed as a secondary endpoint. The percentage of activated platelets will be measured using flow cytometry, focusing on markers such as P-selectin expression and fibrinogen binding to the GPIIb/IIIa receptor. Measurements will be taken at multiple time points, and data will be summarized using statistical measures such as mean ± standard deviation.
Plasma levels of protectins in pg/mL5 yearsSpecialized pro-resolving mediators (SPMs) will be measured as secondary endpoints to assess their role in inflammation resolution. Plasma levels of protectins will be quantified using liquid chromatography-tandem mass spectrometry (LC-MS/MS) and reported in picograms per milliliter (pg/mL). Data will be summarized using statistical measures such as mean ± standard deviation, and comparisons will be made across study groups and time points.
Plasma levels of maresins in pg/mL5 yearsSpecialized pro-resolving mediators (SPMs) will be measured as secondary endpoints to assess their role in inflammation resolution. Plasma levels of maresins, will be quantified using liquid chromatography-tandem mass spectrometry (LC-MS/MS) and reported in picograms per milliliter (pg/mL). Data will be summarized using statistical measures such as mean ± standard deviation, and comparisons will be made across study groups and time points.
Plasma Levels of TNF-α in pg/mL5 yearsInflammatory markers will be measured as secondary endpoints to evaluate systemic inflammation. Plasma levels of tumor necrosis factor-alpha (TNF-α) will be quantified in picograms per milliliter (pg/mL) using enzyme-linked immunosorbent assay (ELISA) or similar validated methods. Data will be summarized using statistical measures such as mean ± standard deviation, and comparisons will be made across study groups and time points.

Countries

United States

Contacts

Primary ContactWenliang Song, MD
WSong@brownhealth.org4014449851
Backup ContactDaria Salamevich
DSalamevich@brownhealth.org7343588165

Outcome results

None listed

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