Dried Blood Spot- Statin Pilot Study (DBS)
Cardiovascular disease (CVD) is the number one cause of mortality for men and women in the United States. Dyslipidemia, particularly a high low-density-lipoprotein cholesterol (LDL-C) level, is a well-established cardiovascular risk factor and the current American Heart Association guideline for CVD risk assessment recommends a lipid panel to be checked. In addition, guidelines recommend statin therapy in all patients with clinical atherosclerotic CVD, all patients with LDL-C = 190 mg/dL, patients age 40-75 years with diabetes and LDL-C 70-189 mg/dL, and patients with an estimated 10-year atherosclerotic CVD risk = 7.5%. For all of these patients, a fasting lipid panel should be drawn prior to statin initiation as well as during follow-up to assess medication and lifestyle adherence. These fasting lipid panels are obtained via conventional phlebotomy via venopuncture in an office-based or hospital laboratory setting. However, research protein quantitation with mass spectrometry and enzyme-linked immunosorbent assay (ELISA) are technologies that allow for sensitive quantitation of protein biomarkers and targets, including lipoproteins. Most importantly, multiple reaction monitoring (MRM) mass spectrometry is able to assess samples from a dried blood spot (DBS), whose advantages include minimal volume requirements, ease of sample attainment by finger stick with minimal training required, ease of transport, and sample stability.
The purpose of the proposed analysis is to 1) measure changes in CVD biomarkers before and after initiation of statin therapy and 2) compare lipid measurements by conventional phlebotomy blood samples to research protein quantitation measurements in DBS and plasma.
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
Despite reductions in cardiovascular disease (CVD) mortality in the past 20 years, CVD remains the leading cause of mortality in the United States, accounting for ~1 of every 3 deaths. CVD costs the U.S. over $100 billion annually and is an important field for targeted primary and secondary prevention. Dyslipidemia, particularly a high low-density-lipoprotein cholesterol (LDL-C) level, is a well-established cardiovascular risk factor, and fasting lipid panels (including total cholesterol, LDL-C, triglycerides, and high-density-lipoprotein cholesterol [HDL-C]) are included in the recent 2013 ACC/AHA Risk Assessment Guidelines. Clinical trials have shown that low density lipoprotein cholesterol (LDL-C) reduction with statin therapy predicts cardiovascular event reduction. About a quarter of all adults >45 years old were on statin therapy in 2008, and this will likely increase due to the recent 2013 ACC/AHA Cholesterol Management guidelines. These guidelines recommend statin therapy in all patients with clinical atherosclerotic CVD, all patients with LDL-C = 190 mg/dL, patients age 40-75 years with diabetes and LDL-C 70-189 mg/dL, and patients with an estimated 10-year atherosclerotic CVD risk = 7.5%. For all of these patients, a fasting lipid panel should be drawn prior to statin initiation as well as during follow-up to assess medication and lifestyle adherence. These fasting lipid panels are obtained via conventional phlebotomy via venopuncture in an office-based or hospital laboratory setting.
Research protein quantitation with mass spectrometry and enzyme-linked immunosorbent assay (ELISA) are technologies that allow for sensitive quantitation of protein biomarkers and targets, including lipoproteins. Most importantly, multiple reaction monitoring (MRM) mass spectrometry is able to assess samples from a dried blood spot (DBS), whose advantages include minimal volume requirements, ease of sample attainment by finger stick with minimal training required, ease of transport, and sample stability. DBS sampling has been used for clinical and pre-clinical studies, simplifying sample collection and handling. However, research protein quantitation with mass spectrometry and ELISA has not been compared against conventional blood sample for evaluating changes in cholesterol levels during statin therapy.
While LDL-C is well-established in predicting CVD event reduction, other laboratory lipid, thrombotic and inflammatory biomarkers have been shown to be associated with atherosclerotic plaque development or CVD risk. These include Apo A-I, Apo B, Apo E, IgM, plasminogen, TIMP-1, Von Willebrand factor, antithrombin III, cystatin C, mesothelin, C-reactive protein, SAA, LPS-binding protein, mannose-binding lectin, myeloperoxidase, fibrinogen, alpha-1-acid glycoprotein, soluble transferrin receptor, haptoglobin. All of these CVD protein biomarkers can be measured by research protein quantitation techniques.
In a pilot study of 20 subjects, we aim to:
- measure changes in a panel of CVD protein biomarkers before and after initiation of statin therapy.
- compare clinical laboratory measurements of LDL-C and HDL-C in conventional phlebotomy blood samples with research protein quantitation mass spectrometry and ELISA measurements of LDL-C (Apo B) and HDL-C (Apo A-I) proteins in DBS and plasma.
Study Type
Study Type
Enrollment (Actual)
Enrollment
Contacts and Locations
Study Locations
-
-
California
-
Los Angeles, California, United States, 90048
- Cedars Sinai Medical Center
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Inclusion criteria:
1. Men and women age> 18 years who are initiated on statin therapy in the clinical setting.
Exclusion criteria:
- History of rhabdomyolysis
- History of prior allergic reaction to statins
- History of liver failure
- Contraindications to antecubital phlebotomy or finger stick (including those with bilateral dialysis AV fistulae).
Study Plan
How is the study designed?
Design Details
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Clinical lipid and research protein measurements (composite)
Time Frame: up to 4-6 week follow-up
|
Compare LDL-C and HDL-C clinical laboratory test measurements in serum vs Apo B and ApoA-I research protein measurements in DBS and plasma as to correlation coefficient across subject samples and level of response (expected reduction) in LDL/Apo B following initiation of statin therapy
|
up to 4-6 week follow-up
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Biomarker change
Time Frame: Baseline and 4-6 week follow-up
|
Compare biomarker changes Pre- vs Post-statin treatment as observed by LDL-C and HDL-C clinical laboratory tests, research protein measurements in plasma and in dried blood spot
|
Baseline and 4-6 week follow-up
|
|
Research protein measurements in dried blood spot vs plasma
Time Frame: Baseline and 4-6 week follow-up
|
3) Compare research protein measurements of CVD protein markers in dried blood spot and plasma samples to investigate parallelism of results
|
Baseline and 4-6 week follow-up
|
|
Clinical Cardiovascular Risk Score
Time Frame: Baseline
|
Compare the research protein measurements of CVD protein markers with the ACC/AHA 10-year atherosclerotic CVD risk score
|
Baseline
|
Collaborators and Investigators
Sponsor
Sponsor
Study record dates
Study Major Dates
Study Start
Study Start
Primary Completion (ACTUAL)
Primary Completion
Study Completion (ACTUAL)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (ESTIMATE)
First Posted
Study Record Updates
Last Update Posted (ACTUAL)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- Pro00037026
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
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