Presymptomatic Dutch-Type Hereditary Cerebral Amyloid Angiopathy-Related Blood Metabolite Alterations
Pratishtha Chatterjee, Anne M Fagan, Chengjie Xiong, Matthew McKay, Atul Bhatnagar, Yunqi Wu, Abhay K Singh, Kevin Taddei, Ian Martins, Samantha L Gardener, Mark P Molloy, Gerhard Multhaup, Colin L Masters, Peter R Schofield, Tammie LS Benzinger, John C Morris, Randall J Bateman, Steven M Greenberg, Marieke JH Wermer, Mark A van Buchem Show all
JOURNAL OF ALZHEIMERS DISEASE | IOS PRESS | Published : 2021
BACKGROUND: Cerebral amyloid angiopathy (CAA) is one of the major causes of intracerebral hemorrhage and vascular dementia in older adults. Early diagnosis will provide clinicians with an opportunity to intervene early with suitable strategies, highlighting the importance of pre-symptomatic CAA biomarkers. OBJECTIVE: Investigation of pre-symptomatic CAA related blood metabolite alterations in Dutch-type hereditary CAA mutation carriers (D-CAA MCs). METHODS: Plasma metabolites were measured using mass-spectrometry (AbsoluteIDQ® p400 HR kit) and were compared between pre-symptomatic D-CAA MCs (n = 9) and non-carriers (D-CAA NCs, n = 8) from the same pedigree. Metabolites that survived correcti..View full abstract
Awarded by National Health and Medical Research Council (NHMRC)
Awarded by National Institute of Health (NIH)
This study was funded by the National Health and Medical Research Council (NHMRC) project grant APP1129627 and National Institute of Health (NIH) grant for the Dominantly Inherited Alzheimer Network study U19AG032438. We thank the participants and their families for their participation and cooperation, and the DIAN research and support staff at Australian Alzheimer's Research Foundation (AARF), the Mental Health Research Institute (MHRI) and Washington University for their contributions to this study. We thank all staff of the DIAN Administration, Clinical, Biomarker, Genetics and Imaging cores for their contributions. We also thank Dr. Celeste Karch and Dr. Xiong Xu for providing us with the supporting data from the master DIAN database. We thank the staff at the Australian Proteome Analysis Facility (APAF) for their support in this study and acknowledge that this study used NCRIS-enabled APAF infrastructure. We also thank Professor Subhojit Roy for his valuable feedback. We thank Dr. Manuel Kratzke and Dr. Markus Langsdorf for the technical support they provided remotely.