Genetic, vascular and amyloid components of cerebral blood flow in a preclinical population

Author:

Padrela Beatriz E12ORCID,Lorenzini Luigi12,Collij Lyduine E12,García David Vállez12ORCID,Coomans Emma12,Ingala Silvia12,Tomassen Jori34,Deckers Quinten12,Shekari Mahnaz567,Geus Eco JC de8,van de Giessen Elsmarieke12,Kate Mara ten12,Visser Pieter Jelle389,Barkhof Frederik1210,Petr Jan1211ORCID,Braber Anouk den348,Mutsaerts Henk JMM12ORCID

Affiliation:

1. Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Amsterdam University Medical Center, Location VUmc, Amsterdam, the Netherlands

2. Amsterdam Neuroscience, Brain Imaging, Amsterdam, the Netherlands

3. Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, the Netherlands

4. Amsterdam Neuroscience, Neurodegeneration, Amsterdam, the Netherlands

5. BBRC: Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain

6. Pompeu Fabra University, Barcelona, Spain

7. IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain

8. Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands

9. Alzheimer Center Limburg, School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands

10. Queen Square Institute of Neurology and Centre for Medical Image Computing (CMIC), University College London, London, UK

11. Helmholtz-Zentrum Dresden-Rossendorf, Institute of Radiopharmaceutical Cancer Research, Dresden, Germany

Abstract

Aging-related cognitive decline can be accelerated by a combination of genetic factors, cardiovascular and cerebrovascular dysfunction, and amyloid-β burden. Whereas cerebral blood flow (CBF) has been studied as a potential early biomarker of cognitive decline, its normal variability in healthy elderly is less known. In this study, we investigated the contribution of genetic, vascular, and amyloid-β components of CBF in a cognitively unimpaired (CU) population of monozygotic older twins. We included 134 participants who underwent arterial spin labeling (ASL) MRI and [18F]flutemetamol amyloid-PET imaging at baseline and after a four-year follow-up. Generalized estimating equations were used to investigate the associations of amyloid burden and white matter hyperintensities with CBF. We showed that, in CU individuals, CBF: 1) has a genetic component, as within-pair similarities in CBF values were moderate and significant (ICC > 0.40); 2) is negatively associated with cerebrovascular damage; and 3) is positively associated with the interaction between cardiovascular risk scores and early amyloid-β burden, which may reflect a vascular compensatory response of CBF to early amyloid-β accumulation. These findings encourage future studies to account for multiple interactions with CBF in disease trajectory analyses.

Publisher

SAGE Publications

Subject

Cardiology and Cardiovascular Medicine,Neurology (clinical),Neurology

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