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  4. Developing blood-brain barrier arterial spin labelling as a non-invasive early biomarker of Alzheimer's disease (DEBBIE-AD): a prospective observational multicohort study protocol
 
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2024
Journal Article
Title

Developing blood-brain barrier arterial spin labelling as a non-invasive early biomarker of Alzheimer's disease (DEBBIE-AD): a prospective observational multicohort study protocol

Abstract
Introduction Loss of blood-brain barrier (BBB) integrity is hypothesised to be one of the earliest microvascular signs of Alzheimer's disease (AD). Existing BBB integrity imaging methods involve contrast agents or ionising radiation, and pose limitations in terms of cost and logistics. Arterial spin labelling (ASL) perfusion MRI has been recently adapted to map the BBB permeability non-invasively. The DEveloping BBB-ASL as a non-Invasive Early biomarker (DEBBIE) consortium aims to develop this modified ASL-MRI technique for patient-specific and robust BBB permeability assessments. This article outlines the study design of the DEBBIE cohorts focused on investigating the potential of BBB-ASL as an early biomarker for AD (DEBBIE-AD). Methods and analysis DEBBIE-AD consists of a multicohort study enrolling participants with subjective cognitive decline, mild cognitive impairment and AD, as well as age-matched healthy controls, from 13 cohorts. The precision and accuracy of BBB-ASL will be evaluated in healthy participants. The clinical value of BBB-ASL will be evaluated by comparing results with both established and novel AD biomarkers. The DEBBIE-AD study aims to provide evidence of the ability of BBB-ASL to measure BBB permeability and demonstrate its utility in AD and AD-related pathologies. Ethics and dissemination Ethics approval was obtained for 10 cohorts, and is pending for 3 cohorts. The results of the main trial and each of the secondary endpoints will be submitted for publication in a peer-reviewed journal.
Author(s)
Padrela, Beatriz E.
Mahroo, Amnah
Fraunhofer-Institut für Digitale Medizin MEVIS  
Tee, Mervin
Sneve, Markus Handal
Moyaert, Paulien
Geier, Oliver Marcel
Kuijer, Joost P.A.
Beun, Soetkin
Nordhøy, Wibeke
Zhu, Yufei David
Buck, Mareike
Fraunhofer-Institut für Digitale Medizin MEVIS  
Hoinkiss, Daniel Christopher
Fraunhofer-Institut für Digitale Medizin MEVIS  
Konstandin, Simon  
Fraunhofer-Institut für Digitale Medizin MEVIS  
Huber, Jörn
Fraunhofer-Institut für Digitale Medizin MEVIS  
Wiersinga, Julia H.I.
Rikken, Roos M.
Leeuw, Diederick De
Grydeland, Håkon K.
Tippett, Lynette J.
Cawston, Erin E.
Ozturk-Isik, Esin
Linn, Jennifer
Brandt, Moritz D.
Tijms, Betty M.
van de Giessen, Elsmarieke M.
Muller, Majon M.
Fjell, Anders M.
Walhovd, Kristine Beate
Björnerud, Atle
Pålhaugen, Lene
Selnes, Per
Clement, Patricia
Achten, Eric
Anazodo, Udunna C.
Barkhof, Frederik
Hilal, Saima
Fladby, Tormod
Eickel, Klaus  
Fraunhofer-Institut für Digitale Medizin MEVIS  
Morgan, Catherine A.
Thomas, David L.
Petr, Jan
Günther, Matthias  
Fraunhofer-Institut für Digitale Medizin MEVIS  
Mutsaerts, Henk Jmm
Journal
BMJ open  
Open Access
DOI
10.1136/bmjopen-2023-081635
Additional link
Full text
Language
English
Fraunhofer-Institut für Digitale Medizin MEVIS  
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