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Dried Blood Spot Collection of Health Biomarkers to Maximize Participation in Population Studies
Published on: January 28, 2014
Biomarkers
David C Zhu1, Josh Hubert2, Norman Scheel2
1Albert Einstein College of Medicine, Bronx, NY, USA.
Insights
In older adults, higher blood pulse pressure is linked to increased arterial blood flow pulsatility. Conversely, a faster heart rate is associated with reduced brain tissue pulsatility.
Area of Science:
- Cardiovascular research
- Neuroimaging
- Gerontology
Background:
- The HIPAC Trial investigates links between blood pressure, heart rate, and intracranial pulsatility in older adults.
- Understanding these relationships is crucial for managing cerebrovascular health in aging populations.
Purpose of the Study:
- To examine the correlations between blood pressure, heart rate, and both arterial blood flow pulsatility and brain tissue pulsatility.
- To quantify these relationships using advanced MRI techniques.
Main Methods:
- Utilized 3T MRI (GE Discovery 3T MR750W) on 85 older adults (65 ± 6 years).
- Employed 2D CINE Phase Contrast (PC) MRI to measure blood flow and brain tissue pulsatility.
- Quantified pulse pressure (PP), heart rate, internal carotid artery (ICA) pulsatility, and global brain tissue pulsatility.
Main Results:
- Positive correlation found between pulse pressure and ICA blood flow pulsatility (R = 0.414-0.466, P < 10⁻⁴).
- Negative correlation observed between heart rate and global brain tissue pulsatility (R = -0.452 to -0.830, P < 10⁻⁵).
- Heart rate negatively correlated with cerebral blood volume per cardiac cycle (CBV-C), which positively correlated with brain tissue pulsatility.
Conclusions:
- Blood pulse pressure positively correlates with arterial blood flow pulsatility in older adults.
- Heart rate negatively correlates with brain tissue pulsatility in this demographic.
Background:
In the HIPAC Trial (Hypertension, Intracranial Pulsatility and Brain Amyloid-beta Accumulation in Older Adults) (NCT03354143), one aim is to understand the relationships between blood pressure, heart rate, intracranial arterial blood flow pulsatility, and brain tissue pulsatility.
Methods:
We obtained high-quality baseline MRI data from 85 subjects (65 +/- 6 years old, 38 male) on a GE Discovery 3T MR750W MRI scanner. 2D CINE Phase Contract (PC) MRI was used to measure brain blood flows and brain tissue pulsatility. We quantified the blood flow pulsatility at the right and left internal carotid arteries (ICA) based on the difference of the maximum and minimal flows, normalized by the mean flow across all 32 time points of the cardiac cycle. Cerebral blood volume per cardiac cycle (CBV-C) was calculated based on the sum of blood flows from internal carotid and vertebral arteries over one cardiac cycle. To assess brain tissue pulsatility, an axial slice across the lateral ventricle was acquired with VENC = 5 cm/sec, three velocity directions and 16 time points. The brain tissue pulsatility was quantified by the total tissue movement (mm) over one full cardiac cycle, and then was converted to mm per minute. 24-hour systolic blood pressure (SBP) and diastolic blood pressure (DBP) were collected, and pulse pressure (PP) was calculated.
Results:
Significant positive correlations were found between PP and right ICA (R = 0.414, P = 8.13 x 10-5) and left ICA (R = 0.466, P = 6.87 x 10-6) blood flow pulsatility (Figure 1); negative correlations were found between heart rate and global brain tissue pulsatility per cardiac cycle (R = -0.830, P = 5.97 x 10-20), as well as per minute (R = -0.452, P = 5.38 x 10-5) (Figure 2). Heart rate was also negatively correlated with CBV-C (R = -0.577, P = 2.61 x 10-9) while CBV-C was positively correlated with global brain tissue pulsatility per cardiac cycle (R = 0.562, P = 1.91 x 10-7) (Figure 3).
Conclusion:
In older adults, blood pulse pressure is positively correlated with arterial blood flow pulsatility, and heart rate is negatively correlated with brain tissue pulsatility.
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