Extracellular RNAs in Relation to Cardiometabolic Risk
| Status: | Enrolling by invitation |
|---|---|
| Conditions: | High Blood Pressure (Hypertension), Obesity Weight Loss, Peripheral Vascular Disease, Cardiology |
| Therapuetic Areas: | Cardiology / Vascular Diseases, Endocrinology |
| Healthy: | No |
| Age Range: | 21 - 90 |
| Updated: | 4/6/2019 |
| Start Date: | April 10, 2019 |
| End Date: | May 29, 2020 |
Background:
Extracellular RNAs (exRNAs) send genetic data from cell to cell. This is how they affect the
way cells communicate with each other. There are many types of exRNA, and they each serve
different roles. But they have also been linked to some diseases. Researchers want to measure
exRNAs to see how they relate to certain traits over time. They will use blood samples that
were taken as part of the Framingham Heart Study (FHS).
Objectives:
To identify cross-sectional associations of exRNAs with age, sex, and cardiometabolic risk
factors.
Eligibility:
People ages 30-70 who had blood taken as part of the FHS Third Generation cohort.
Design:
Researchers will study samples that have already been collected in the FHS. There will be no
active participant contact for this project, only use of data that are collected as part of
planned follow up from other studies.
As part of the FHS, participants gave blood samples. They gave permission for the blood to be
used for research.
The exRNAs from the blood samples will be studied to see how they relate to certain traits.
These include age, sex, and body mass index.
The exRNAs will also be studied for their usefulness as biomarkers of risk for subclinical
atherosclerotic cardiovascular disease.
No study participants will be contacted for this study....
Extracellular RNAs (exRNAs) send genetic data from cell to cell. This is how they affect the
way cells communicate with each other. There are many types of exRNA, and they each serve
different roles. But they have also been linked to some diseases. Researchers want to measure
exRNAs to see how they relate to certain traits over time. They will use blood samples that
were taken as part of the Framingham Heart Study (FHS).
Objectives:
To identify cross-sectional associations of exRNAs with age, sex, and cardiometabolic risk
factors.
Eligibility:
People ages 30-70 who had blood taken as part of the FHS Third Generation cohort.
Design:
Researchers will study samples that have already been collected in the FHS. There will be no
active participant contact for this project, only use of data that are collected as part of
planned follow up from other studies.
As part of the FHS, participants gave blood samples. They gave permission for the blood to be
used for research.
The exRNAs from the blood samples will be studied to see how they relate to certain traits.
These include age, sex, and body mass index.
The exRNAs will also be studied for their usefulness as biomarkers of risk for subclinical
atherosclerotic cardiovascular disease.
No study participants will be contacted for this study....
Extracellular RNAs (exRNAs) impact a wide range of biological processes and function to
transfer genetic information between cells. In doing so, exRNAs affect cell-to-cell
communications. Recent studies indicate that exRNAs are associated with a variety of
diseases. Emerging data from elderly participants in the Framingham Heart Study (FHS)
demonstrate that circulating levels of exRNA are correlated with several key traits including
age, sex, and body mass index. Much more work is needed to determine the extent to which
exRNAs are associated with a variety of clinically relevant traits across the age spectrum.
We seek to measure a 665 exRNAs spanning a variety of classes in plasma from 4095 young to
middle-aged adult participants in the Third Generation cohort of the FHS and to relate them
to age, sex, and cardiometabolic risk factors (BMI, lipids, blood pressure, and fasting
glucose) in cross-sectional analyses and to determine the relations of these exRNAs measured
at baseline to serial changes in cardiometabolic risk factors during seven years of follow
up. We also seek to relate exRNAs to subclinical atherosclerotic cardiovascular disease
(ASCVD; assessed via multidetector CT measures of coronary artery calcium), and its
progression during seven years of follow up. This grant application will establish an
association of exRNAs with clinically relevant traits and diseases and will establish their
utility as biomarkers of risk for cardiometabolic disease and subclinical ASCVD. To this end,
we propose three aims: 1) To identify associations of exRNAs with age, sex, and
cardiometabolic risk factors and subclinical ASCVD at a baseline examination, 2) To identify
associations of exRNAs with longitudinal changes in cardiometabolic risk factors and
subclinical ASCVD during seven years of follow up, and 3) To explore the genetic regulation
of exRNAs via analysis of whole genome sequence data. We demonstrate that we have adequate
power to detect associations of exRNAs with cardiometabolic risk factors and subclinical
atherosclerosis at baseline and with their longitudinal change during follow up.
transfer genetic information between cells. In doing so, exRNAs affect cell-to-cell
communications. Recent studies indicate that exRNAs are associated with a variety of
diseases. Emerging data from elderly participants in the Framingham Heart Study (FHS)
demonstrate that circulating levels of exRNA are correlated with several key traits including
age, sex, and body mass index. Much more work is needed to determine the extent to which
exRNAs are associated with a variety of clinically relevant traits across the age spectrum.
We seek to measure a 665 exRNAs spanning a variety of classes in plasma from 4095 young to
middle-aged adult participants in the Third Generation cohort of the FHS and to relate them
to age, sex, and cardiometabolic risk factors (BMI, lipids, blood pressure, and fasting
glucose) in cross-sectional analyses and to determine the relations of these exRNAs measured
at baseline to serial changes in cardiometabolic risk factors during seven years of follow
up. We also seek to relate exRNAs to subclinical atherosclerotic cardiovascular disease
(ASCVD; assessed via multidetector CT measures of coronary artery calcium), and its
progression during seven years of follow up. This grant application will establish an
association of exRNAs with clinically relevant traits and diseases and will establish their
utility as biomarkers of risk for cardiometabolic disease and subclinical ASCVD. To this end,
we propose three aims: 1) To identify associations of exRNAs with age, sex, and
cardiometabolic risk factors and subclinical ASCVD at a baseline examination, 2) To identify
associations of exRNAs with longitudinal changes in cardiometabolic risk factors and
subclinical ASCVD during seven years of follow up, and 3) To explore the genetic regulation
of exRNAs via analysis of whole genome sequence data. We demonstrate that we have adequate
power to detect associations of exRNAs with cardiometabolic risk factors and subclinical
atherosclerosis at baseline and with their longitudinal change during follow up.
- ELIGIBILITY CRITERIA:
- FHS Third Generation cohort participants with WGS as part of TOPMed.
- FHS Third Generation cohort participants who attended exam 2 when PaxGene tubes were
collected for RNA isolation.
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