Extreme Lipids Repository
2 other identifiers
observational
250
1 country
2
Brief Summary
This is a prospective, observational study to establish a repository of samples from patients with extreme lipid phenotypes including but not limited to hyperlipidemia, dyslipidemia, hyperlipoproteinemia, extreme low/high HDL levels and deranged lipoprotein metabolism. The investigators plan to conduct sophisticated composition and functional analyses as well as genetic analysis to better understand the determinants of extreme lipid derangements.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started May 2019
Longer than P75 for all trials
2 active sites
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
Study Start
First participant enrolled
May 10, 2019
CompletedFirst Submitted
Initial submission to the registry
October 10, 2019
CompletedFirst Posted
Study publicly available on registry
November 8, 2019
CompletedPrimary Completion
Last participant's last visit for primary outcome
May 1, 2029
ExpectedStudy Completion
Last participant's last visit for all outcomes
May 1, 2029
April 16, 2025
April 1, 2025
10 years
October 10, 2019
April 15, 2025
Conditions
Keywords
Outcome Measures
Primary Outcomes (2)
Biological sample collection for repository
Blood samples will be collected for preparation of plasma and serum, extraction of DNA and isolation of circulating cells. Future analysis include genomic, proteomic and metabolomic analysis
Day 1
Data collection for repository
Demographic information, clinical history and lipid related bio-marker information will be collected from participants
Day 1
Study Arms (2)
Patients with extreme lipid phenotypes
Adult patients (age 18 years or older) diagnosed with any lipid or metabolic disorder including hyperlipidemia, dyslipidemia, hyperlipoproteinemia, low HDL levels and deranged lipoprotein metabolism
Healthy volunteers
Healthy adult volunteers with normal lipid metabolism will be recruited for the purpose of comparison
Interventions
No intervention is involved in this study
Eligibility Criteria
Subjects with lipid and metabolism disorders and up to 50 healthy volunteers (age 18 years or older) with a normal lipid metabolism.
You may qualify if:
- adult patients (age 18 years or older) diagnosed with any lipid or metabolic disorder including hyperlipidemia, dyslipidemia, hyperlipoproteinemia, low HDL levels and deranged lipoprotein metabolism
You may not qualify if:
- Anyone under 18 years of age will be excluded from the study.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (2)
Parkland Health Hospital System
Dallas, Texas, 75390, United States
University of Texas Southwestern Medical Center - Ambulatory Clinic
Dallas, Texas, 75390, United States
Biospecimen
Plasma, Serum, DNA, Cells
Study Officials
- PRINCIPAL INVESTIGATOR
Anand Rohatgi, MD
University of Texas Southwestern Medical Center
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- CROSS SECTIONAL
- Target Duration
- 1 Day
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Professor of Medicine
Study Record Dates
First Submitted
October 10, 2019
First Posted
November 8, 2019
Study Start
May 10, 2019
Primary Completion (Estimated)
May 1, 2029
Study Completion (Estimated)
May 1, 2029
Last Updated
April 16, 2025
Record last verified: 2025-04
Data Sharing
- IPD Sharing
- Will share
- Shared Documents
- STUDY PROTOCOL, SAP, CSR, ANALYTIC CODE
- Time Frame
- Data will become available after completed enrollment of any participant. The data will be available for the duration of the registry.
- Access Criteria
- Researchers may request data from the PI, Dr. Anand Rohatgi. Once approval is given and appropriate regulatory approvals are in place, access may be granted and data shared.
Deidentified demographics, risk factors, clinical history, and research-based measures will be shared with other researchers with appropriate approval.