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A multi-disciplinary commentary on preclinical research to investigate vascular contributions to dementia

Title: A multi-disciplinary commentary on preclinical research to investigate vascular contributions to dementia
Authors: Sri, S; Greenstein, A; Granata, A; Collcutt, A; Jochems, ACC; McColl, BW; Castro, BD; Webber, C; Reyes, CA; Hall, C; Lawrence, CB; Hawkes, C; Pegasiou-Davies, C-M; Gibson, C; Crawford, CL; Smith, C; Vivien, D; McLean, FH; Wiseman, F; Brezzo, G; Lalli, G; Pritchard, HAT; Markus, HS; Bravo-Ferrer, I; Taylor, J; Leiper, J; Berwick, J; Gan, J; Gallacher, J; Moss, J; Goense, J; McMullan, L; Work, L; Evans, L; Stringer, MS; Ashford, MLJ; Abulfadl, M; Conlon, N; Malhotra, P; Bath, P; Canter, R; Brown, R; Ince, S; Anderle, S; Young, S; Quick, S; Szymkowiak, S; Hill, S; Allan, S; Wang, T; Quinn, T; Procter, T; Farr, TD; Zhao, X; Yang, Z; Hainsworth, AH; Wardlaw, JM
Publisher Information: Elsevier
Publication Year: 2026
Collection: Oxford University Research Archive (ORA)
Description: Although dementia research has been dominated by Alzheimer's disease (AD), most dementia in older people is now recognised to be due to mixed pathologies, usually combining vascular and AD brain pathology. Vascular cognitive impairment (VCI), which encompasses vascular dementia (VaD) is the second most common type of dementia. Models of VCI have been delayed by limited understanding of the underlying aetiology and pathogenesis. This review by a multidisciplinary, diverse (in terms of sex, geography and career stage), cross-institute team provides a perspective on limitations to current VCI models and recommendations for improving translation and reproducibility. We discuss reproducibility, clinical features of VCI and corresponding assessments in models, human pathology, bioinformatics approaches, and data sharing. We offer recommendations for future research, particularly focusing on small vessel disease as a main underpinning disorder.
Document Type: article in journal/newspaper
Language: English
Relation: https://doi.org/10.1016/j.cccb.2023.100189
DOI: 10.1016/j.cccb.2023.100189
Availability: https://doi.org/10.1016/j.cccb.2023.100189; https://ora.ox.ac.uk/objects/uuid:801ac11b-eaa0-4928-bd35-01153ded8700
Rights: info:eu-repo/semantics/openAccess ; CC Attribution (CC BY)
Accession Number: edsbas.ADAFFD23
Database: BASE