Principles of precision medicine in stroke

Hinman, J. D., Rost, N. S., Leung, T. W., Montaner, J., Muir, K. W. , Brown, S., Arenillas, J. F., Feldmann, E. and Liebeskind, D. S. (2017) Principles of precision medicine in stroke. Journal of Neurology, Neurosurgery and Psychiatry, 88, pp. 54-61. (doi:10.1136/jnnp-2016-314587) (PMID:27919057)

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Abstract

The era of precision medicine has arrived and conveys tremendous potential, particularly for stroke neurology. The diagnosis of stroke, its underlying aetiology, theranostic strategies, recurrence risk and path to recovery are populated by a series of highly individualised questions. Moreover, the phenotypic complexity of a clinical diagnosis of stroke makes a simple genetic risk assessment only partially informative on an individual basis. The guiding principles of precision medicine in stroke underscore the need to identify, value, organise and analyse the multitude of variables obtained from each individual to generate a precise approach to optimise cerebrovascular health. Existing data may be leveraged with novel technologies, informatics and practical clinical paradigms to apply these principles in stroke and realise the promise of precision medicine. Importantly, precision medicine in stroke will only be realised once efforts to collect, value and synthesise the wealth of data collected in clinical trials and routine care starts. Stroke theranostics, the ultimate vision of synchronising tailored therapeutic strategies based on specific diagnostic data, demand cerebrovascular expertise on big data approaches to clinically relevant paradigms. This review considers such challenges and delineates the principles on a roadmap for rational application of precision medicine to stroke and cerebrovascular health.

Item Type:Articles
Additional Information:JDH is supported by the UCLA Cardiovascular Theme Discovery Award (CVTDA-0001-2016), Partners in Discovery Pilot Stroke Research Award, NIH NS083740, and the USA Department of Veterans Affairs Greater Los Angeles Healthcare System. NSR is in supported in part by NIH-NINDS R01 NS082285 and NS086905. DSL is supported by NIH-NINDS K24 NS072272.
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Muir, Professor Keith
Authors: Hinman, J. D., Rost, N. S., Leung, T. W., Montaner, J., Muir, K. W., Brown, S., Arenillas, J. F., Feldmann, E., and Liebeskind, D. S.
College/School:College of Medical Veterinary and Life Sciences > Institute of Neuroscience and Psychology
Journal Name:Journal of Neurology, Neurosurgery and Psychiatry
Publisher:BMJ Publishing Group
ISSN:0022-3050
ISSN (Online):1468-330X
Published Online:19 October 2016
Copyright Holders:Copyright © 2016 The Authors
First Published:First published in Journal of Neurology, Neurosurgery and Psychiatry 88:54-61
Publisher Policy:Reproduced in accordance with the publisher copyright policy

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