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Abstract

Background: Disease models are useful for prospective studies of pathology, identification of molecular and cellular mechanisms, pre-clinical testing of interventions, and validation of clinical biomarkers. Here, we review animal models relevant to vascular cognitive impairment (VCI). A synopsis of each model was initially presented by expert practitioners. Synopses were refined by the authors, and subsequently by the scientific committee of a recent conference (International Conference on Vascular Dementia 2015). Only peer-reviewed sources were cited.

Methods: We included models that mimic VCI-related brain lesions (white matter hypoperfusion injury, focal ischaemia, cerebral amyloid angiopathy) or reproduce VCI risk factors (old age, hypertension, hyperhomocysteinemia, high-salt/high-fat diet) or reproduce genetic causes of VCI (CADASIL-causing Notch3 mutations).

Conclusions: We concluded that (1) translational models may reflect a VCI-relevant pathological process, while not fully replicating a human disease spectrum; (2) rodent models of VCI are limited by paucity of white matter; and (3) further translational models, and improved cognitive testing instruments, are required.

Document Type

Review

Publication Date

1-25-2017

Notes/Citation Information

Published in BMC Medicine, v. 15, 16, p. 1-12.

© The Author(s). 2017

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Digital Object Identifier (DOI)

https://doi.org/10.1186/s12916-017-0793-9

Funding Information

AHH gratefully acknowledges funding from Alzheimer’s Drug Discovery Foundation (ADDF grant no. 20140901), Alzheimer’s Society UK (PG146/151) and Alzheimer’s Research UK (PPG2014A-8). SMA received research funding from the British Heart Foundation and EPSRC (UK). CC is funded by the MRC (UK) Centre for Doctoral Training in Regenerative Medicine (grant no. EP/L014904/1). AMT was supported in this work by Israel Science Foundation (ISF) Grant 1353/11.

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