Bellantuono, I. orcid.org/0000-0001-9994-6987 and Potter, P.K. (2016) Modelling ageing and age-related disease. Drug Discovery Today: Disease Models, 20. pp. 27-32. ISSN 1740-6757
Abstract
An increased lifespan comes with an associated increase in disease incidence, and is the major risk factor for age-related diseases. To face this societal challenge search for new treatments has intensified requiring good preclinical models, whose complexity and accuracy is increasing. However, the influence of ageing is often overlooked. Furthermore, phenotypic assessment of ageing models is in need of standardisation to enable the accurate evaluation of pre-clinical intervention studies in line with clinical translation.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2017 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > The Medical School (Sheffield) > Division of Genomic Medicine (Sheffield) > Department of Oncology and Metabolism (Sheffield) The University of Sheffield > Sheffield Teaching Hospitals |
Funding Information: | Funder Grant number COST OFFICE cost action BM1402 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 06 Oct 2017 13:50 |
Last Modified: | 06 Nov 2023 16:14 |
Status: | Published |
Publisher: | Elsevier |
Refereed: | Yes |
Identification Number: | 10.1016/j.ddmod.2017.07.005 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:122166 |