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The Genetic, Protein, and Lipid Basis of Variation in Cholesterol Efflux

The Genetic, Protein, and Lipid Basis of Variation in Cholesterol Efflux

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT04061018
Enrollment
86
Registered
2019-08-19
Start date
2017-12-01
Completion date
2025-05-31
Last updated
2026-03-20

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

Conditions

Lipid Metabolism Disorders

Keywords

HDL, Atherosclerotic Cardiovascular Disease, Cholesterol efflux

Brief summary

The rationale of this research is that deep phenotyping of individuals at the extremes of cholesterol efflux will identify key determinants of efflux that are potential novel therapeutic targets to prevent or reverse Atherosclerotic Cardiovascular Disease (ASCVD). The investigators propose to carry out the objective by studying participants at extreme low and high cholesterol efflux identified from the investigator's study in the population-based Dallas Heart Study by accomplishing the following aims: 1) determine the heritability of and genomic factors associated with cholesterol efflux by establishing a family pedigree of extreme low and high efflux and sequencing candidate genes involved in HDL metabolism; and 2) identify the protein and lipid signature of extreme low and high cholesterol efflux in a sex- and ethnicity-specific manner using mass spectroscopy and ELISA in FPLC-derived fractions. The investigators expect to identify genetic variants and sex- and ethnicity-specific combinations of proteins and lipids in participants with extreme low and high efflux that may lead to novel ways to modulate efflux. This proposal leverages a well-phenotyped population-based study to characterize the gene-protein-lipid signature of 1) extremes of cholesterol efflux in a sex- and ethnicity-specific manner. Successful completion of these aims will have immediate and direct impact on the use of cholesterol efflux as a clinically relevant biomarker of therapeutic benefit and are necessary for the clinical development of appropriate new targets for manipulation of the key atheroprotective function of cholesterol efflux to reduce ASCVD.

Detailed description

The mechanisms that underlie variation in cholesterol efflux are unknown. There is a critical need to identify factors that regulate cholesterol efflux to effectively advance the clinical development of cholesterol efflux as both a risk prediction marker and as a target of therapy. The investigator's long-term goal is to determine whether modulating cholesterol efflux prevents or reverses cardiovascular disease. The overall objective of this study is to systematically create a family pedigree and biobank repository of blood and DNA from participants from the Dallas Heart Study with extreme low or high cholesterol efflux, with the specific aims of : 1) determining the heritability of and genomic factors associated with cholesterol efflux, and 2) identifying the protein and lipid signature of extreme low and high cholesterol efflux in a sex- and ethnicity-specific manner. The investigator's central hypothesis is that a combination of genetic variation in lipid transporters as well as proteins and lipids will be most strongly correlated with variation in efflux. DHS probands and their relatives (parents, siblings, adult children, grandparents, aunts/uncles, cousins) with extreme low or high cholesterol efflux will be recruited to establish a prospective family pedigree cohort and understand the heritability of extreme cholesterol efflux. Investigators will collect the following information from all participants: demographics, health history, lifestyle measures, and medications. Blood will be collected on-site by venipuncture and plasma, serum, and cells will be stored at -80o Celsius. All efflux measurements will be completed in the investigator's laboratory.

Interventions

None listed

Sponsors

University of Texas Southwestern Medical Center
Lead SponsorOTHER
National Heart, Lung, and Blood Institute (NHLBI)
CollaboratorNIH

Study design

Observational model
COHORT
Time perspective
CROSS_SECTIONAL

Eligibility

Sex/Gender
ALL
Age
18 Years to 89 Years
Healthy volunteers
Yes

Inclusion criteria

* Dallas Heart Study (DHS) Participants who are above or below the sex- and ethnicity-specific 10th and 90th% of cholesterol efflux. * Family members of the DHS participants are also eligible

Exclusion criteria

* HIV * Cancer * Autoimmune diseases * Pregnancy

Design outcomes

Primary

MeasureTime frameDescription
Cholesterol Efflux Capacity (CEC)BaselineCholesterol efflux capacity (CEC) was determined by measuring the efflux of a fluorophore tagged cholesterol, BODIPY (Avanti polar lipids), from J774 murine macrophages (ATCC) to an appropriate acceptor. Efflux is calculated as a unitless measure by using the following formula: \[(µCi of 3H-cholesterol in media containing apoB-depleted subject plasma - µCi of 3H-cholesterol in plasma-free media) / (µCi of 3H-cholesterol in media containing apoB-depleted pooled control plasma-µCi of 3H-cholesterol in pooled control plasma-free media)\]. Cholesterol efflux capacity is inversely correlated with incidence of cardiovascular events (i.e. higher cholesterol efflux capacity is better for patients).
Circulating Metabolite (Glucose) Linked to Variation Cholesterol EffluxBaselineThe investigators will measure circulating metabolite (glucose) and identify the most relevant to the high/low cholesterol efflux phenotype, offering the potential to focus future studies targeting metabolic regulators of efflux.
Circulating Metabolite (Creatinine) Linked to Variation Cholesterol EffluxBaselineThe investigators will measure circulating metabolite (creatinine) and identify the most relevant to the high/low cholesterol efflux phenotype, offering the potential to focus future studies targeting metabolic regulators of efflux.
Circulating Proteins Linked to Variation Cholesterol EffluxBaselineThe investigators will measure circulating proteins (apolipoprotein A-I, Albumin, Hemoglobin) and identify the most relevant to the high/low cholesterol efflux phenotype, offering the potential to focus future studies targeting metabolic regulators of efflux.

Countries

United States

Contacts

PRINCIPAL_INVESTIGATORAnand Rohatgi, MD

UT Southwetsern Medical Center

Participant flow

Pre-assignment details

Though both Dallas Heart Study (DHS) patients with High/ Low Cholesterol Efflux and their family members were both enrolled in this study, the study population only included random set of 57 subjects from DHS that were below 10th or above 90th percentile of cholesterol efflux distribution. Though 29 family members were enrolled, they were not assigned to any of the below Arms/ Groups and didn't start on this study and therefore no data was collected on them.

Baseline characteristics

Characteristic
Age, Categorical
<=18 years
0 Participants
Age, Categorical
>=65 years
13 Participants
Age, Categorical
Between 18 and 65 years
17 Participants
Number of Participants Menopausal11 Participants
Number of Participants who are Current Smokers4 Participants
Number of Participants who drink Alcohol12 Participants
Number of Participants who take Blood pressure medication11 Participants
Number of Participants who take Glucose medication4 Participants
Number of Participants who take Lipid medication8 Participants
Number of Participants with Diabetes10 Participants
Number of Participants with Heart Disease0 Participants
Number of Participants with Hypercholesterolemia9 Participants
Number of Participants with Hypertension20 Participants
Race/Ethnicity, Customized
Black or African American
10 Participants
Race/Ethnicity, Customized
Hispanic or Latino
9 Participants
Sex: Female, Male
Female
13 Participants
Sex: Female, Male
Male
6 Participants

Adverse events

Event typeEG000
affected / at risk
EG001
affected / at risk
deaths
Total, all-cause mortality
0 / 300 / 27
other
Total, other adverse events
0 / 300 / 27
serious
Total, serious adverse events
0 / 300 / 27

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Mar 21, 2026