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A pilot of the feasibility and usefulness of an aged obese model for use in stroke research

Lookup NU author(s): Dr Ryan Calmus

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Abstract

Background: Animal models of stroke have been criticised as having poor predictive validity, lacking risk factors prevalent in an aging population. This pilot study examined the development of comorbidities in a combined aged and high-fat diet model, and then examined the feasibility of modelling stroke in such rats., Methods: Twelve-month old male Wistar-Han rats (n=15) were fed a 60% fat diet for 8 months during which monthly serial blood samples were taken to assess the development of metabolic syndrome and pro-inflammatory markers. Following this, to pilot the suitability of these rats for undergoing surgical models of stroke, they underwent 30min of middle cerebral artery occlusion (MCAO) alongside younger controls fed a standard diet (n=10). Survival, weight and functional outcome were monitored, and blood vessels and tissues collected for analysis., Results: A high fat diet in aged rats led to substantial obesity. These rats did not develop type 2 diabetes or hypertension. There was thickening of the thoracic arterial wall and vacuole formation in the liver; but of the cytokines examined changes were not seen. MCAO surgery and behavioural assessment was possible in this model (with some caveats discussed in manuscript)., Conclusions: This study shows MCAO is possible in aged, obese rats. However, this model is not ideal for recapitulating the complex comorbidities commonly seen in stroke patients.

Publication metadata

Author(s): Learoyd AE, Calmus R, Cunningham CN, England TJ, Farr TD, Fone KCF, Kendall DA, O'Sullivan SE, Trueman RC

Publication type: Article

Publication status: Published

Journal: Wellcome Open Research

Year: 2021

Volume: 6

Issue: 104

Online publication date: 10/05/2021

Acceptance date: 03/06/2021

ISSN (electronic): 2398-502X

Publisher: Wellcome Trust

URL: https://doi.org/10.12688/wellcomeopenres.16592.1

DOI: 10.12688/wellcomeopenres.16592.1

PubMed id: 34095511

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