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Dried Blood Spot Collection of Health Biomarkers to Maximize Participation in Population Studies
Published on: January 28, 2014
Biomarkers
Faraz Honarvar1, Joshua Noronha2,3, Adam Gibicar3
1Queen's University, School of Medicine, Kingston, ON, Canada.
Insights
Intraplaque hemorrhage (IPH) is linked to white matter lesion (WML) asymmetry, suggesting it may be a marker for vascular disease and dementia risk. This finding could help identify high-risk patients for early intervention.
Area of Science:
- Neurology
- Vascular Biology
- Medical Imaging
Background:
- Cerebrovascular disease (CVD) is a major cause of death and cognitive decline.
- White matter lesions (WML) are early indicators of vascular damage and dementia.
- Intraplaque hemorrhage (IPH) signifies carotid artery plaque instability.
Purpose of the Study:
- To investigate the association between hemispheric WML asymmetry and IPH.
- To identify novel biomarkers for vascular disease and dementia risk.
- To explore the role of vascular factors in cognitive impairment.
Main Methods:
- FLAIR MRI scans from 264 subjects were analyzed.
- WML biomarkers (volume, intensity, ratio) and asymmetry index (AIM) were computed.
- Linear mixed models and regression analyses assessed WML biomarkers and IPH status.
Main Results:
- IPH-positive patients showed significant rightward WML asymmetry (volume, intensity, ratio).
- Brighter lesions were more prevalent in the right hemisphere for IPH+ subjects.
- IPH predicted WML asymmetry, especially with right carotid artery IPH.
Conclusions:
- Rightward WML asymmetry is strongly associated with IPH.
- This asymmetry may serve as a surrogate marker for vascular disease impacting brain health.
- Automated WML biomarkers can identify high-risk individuals for early intervention.
Background:
Cerebrovascular disease (CVD) is a leading cause of mortality with a strong link to cognitive impairment and dementia. White matter lesions (WML) are prevalent in CVD and are early markers of vascular compromise, particularly in relation to intraplaque hemorrhage (IPH), an indicator of carotid artery plaque instability. As vascular disease represents a possible treatment window for dementia subjects, this study explores the relationship between hemispheric WML asymmetry and IPH utilizing a large multicenter cohort to find novel biomarkers of disease.
Method:
FLAIR MRI scans of 264 subjects from the Canadian Atherosclerosis Imaging Network were categorized as IPH positive (IPH+) or IPH negative (IPH-) and WML biomarkers were automatically computed (Figure 1). Biomarkers related to WML prevalence (volume) and WML ischemia and progression (intensity) were extracted: ICV-normalized WML volume (WML-ICV), WML mean intensity (WML-Intensity), and WML intensity ratio (WML-IR). WML asymmetry was assessed via an asymmetry index measure (AIM). Linear mixed models and regression analyses were conducted, with adjustments for age, sex, scanner manufacturer, and stenosis, to evaluate associations between WML biomarkers and IPH status.
Result:
IPH+ patients exhibited significant rightward asymmetry in WML-ICV (0.0032 ± 0.002, p < 0.05), WML-Intensity (7.26 ± 5.41, p < 0.05), and WML-IR (0.0271 ± 0.0204, p < 0.05); Table 1. IPH+ subjects (left, right or bilateral) had more lesions that were brighter in the right hemisphere. This trend was most pronounced in younger male patients (<65 years), suggesting a high-risk demographic. Regression analysis revealed IPH as a significant predictor of WML asymmetry, with stronger effects observed in subjects with IPH in the right carotid artery.
Conclusion:
Previous studies suggest more injury in the right hemisphere for subjects with small vessel disease, and this work supports this finding. With rightward WML asymmetry being strongly associated with IPH, this could be reflecting a surrogate marker for overall vascular disease and its contribution to brain health and dementia. Automated WML biomarkers can be used to identify these high-risk patients and guide early interventions for subjects with vascular disease and dementia. Future work should validate these findings in larger, longitudinal datasets to enhance clinical applications.
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