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Published on: November 6, 2017
Cardiovascular imaging reveals pathways linking cardiovascular risk factors to brain aging and cognition
Yalda Amirmoezzi1, Vanessa Cropley2, Andrew Zalesky3
1Systems Lab, Department of Psychiatry, The University of Melbourne, Parkville, Victoria, Australia.
Insights
Cardiovascular risk factors impact brain aging. Aortic and carotid artery structure mediates this effect, suggesting vascular health is key to brain health and cognitive function.
Area of Science:
- Neuroscience
- Cardiology
- Gerontology
Background:
- Cardiovascular risk (CVR) factors impact brain structure, neural function, and cognition.
- Mechanisms linking CVR factors to brain aging are not fully understood.
Purpose of the Study:
- Investigate how CVR factors affect brain aging.
- Determine if heart and major artery measures mediate the CVR-brain-age relationship.
Main Methods:
- Utilized longitudinal UK Biobank data.
- Inferred individual brain age from neuroimaging.
- Applied pathway analysis to assess mediation by cardiovascular imaging phenotypes.
Main Results:
- Aortic and carotid artery structures mediate the impact of the Framingham risk score on brain aging rate and cognitive decline.
- Elevated total cholesterol accelerates brain aging via aortic and carotid changes.
Conclusions:
- Vascular structure, particularly of the aorta and carotid arteries, plays a crucial role in CVR-related brain aging.
- Cardiovascular characteristics are potential targets for interventions to prevent brain aging and cognitive decline.
Abstract:
Cardiovascular risk (CVR) factors exert effects that extend beyond the vascular system, influencing brain structure, neural function, and cognitive performance. The mechanisms by which CVR factors exert these effects remain unclear. Here, we specifically investigate the impact of CVR factors on brain aging, testing whether quantitative measures of the heart and major arteries mediate the CVR-brain-age relationship. Using longitudinal UK Biobank data, we infer individual brain age estimates based on neuroimaging-derived measures and apply pathway analysis to quantify whether cardiovascular imaging phenotypes mediate the impact of eight established CVR factors on brain aging. Our findings reveal that structural characteristics of the aorta and carotid arteries, specifically the ascending and descending aortic areas and carotid thickness, mediate the effects of the Framingham risk score, a cumulative measure of CVR factors, on the rate of brain aging and cognitive decline. When examining individual CVR factors separately, elevated total cholesterol level was found to accelerate brain aging by affecting the aorta and carotid structures. Our findings highlight the cardiovascular characteristics, particularly vascular structure, as a potential target for early intervention to prevent or delay brain aging and cognitive decline.
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