DATASET

EURL ECVAM Review of non-animal models in biomedical research - Neurodegenerative Diseases

Collection: EURL-ECVAM : European Union Reference Laboratory for Alternatives to Animal Testing 

Description

Neurodegenerative diseases

pose major challenges for societies with rapidly aging populations. Existing therapies

are limited, and only treat the symptoms. Research employing animal models in the understanding of the pathologies and to develop new drugs, failed for now to discover and approve an efficient treatment for these diseases. Therefore, JRC’s EU Reference Laboratory for alternatives to animal testing (EURL ECVAM) launched a study to collect current and emerging non-animal models used in the field of neurodegenerative diseases. The overall aim of the current project is to provide an inventory and scientific evaluation of innovative (human-based) non-animal models/approaches currently in use for basic and applied research in the field of neurodegenerative diseases, more specifically Alzheimer’s and Parkinson’s disease. The resulting inventory covers 567 methods, ranging from biochemical and computational approaches to different types of cell cultures or ex vivo human material. The inventory aims to contribute to the increased adoption and acceptance of alternative methods in neurodegeneration research and related fields. The work has been conducted within the context of a scientific collaboration between the JRC (Directorate for Health, Consumers and Reference Materials, Chemicals Safety and Alternative Methods Unit) and Imec, KU Leuven, VIB and VITO who received financial support through a JRC (contract ref: JRC/IPR/2017/F.3/0050/OC).

Contact

Email
jrc-f3-enquiries (at) ec.europa.eu

Contributors

  • Adelaide Dura
  • Laura Gribaldo
  • Pierre Deceuninck

How to cite

Dura, Adelaide; Gribaldo, Laura; Deceuninck, Pierre (2021): EURL ECVAM Review of non-animal models in biomedical research - Neurodegenerative Diseases. European Commission, Joint Research Centre (JRC) [Dataset] PID: http://data.europa.eu/89h/a8fd26ef-b113-47ab-92ba-fd2be449c7eb

Keywords

neurodegenerative diseases biomedical non-animal

Data access

Review of Non-animal Models in Biomedical Research - Neurodegenerative Diseases
Download 
  • This dataset contains 567 non-animal models in the field of Neurodegenerative Diseases, including information on their applications, biological relevance, diseases area, and level of throughput. This collection aims to cover all existing and in-development non-animal approaches to neurodegenerative diseases modelling, including in vitro, in silico and ex vivo approaches.

Publications

Publication
Advanced Non-animal Models in Biomedical Research: neurodegenerative diseases: Executive Summary
Witters, H., Verstraelen, S., Aerts, L., Miccoli, B., Delahanty, A., Dura, A., Gribaldo, L. and Whelan, M., Advanced Non-animal Models in Biomedical Research: neurodegenerative diseases: Executive Summary, EUR 30334 EN, Publications Office of the European Union, Luxembourg, 2021, ISBN 978-92-76-35947-0 (online),978-92-76-35946-3 (print), doi:10.2760/005446 (online),10.2760/84181 (print), JRC124723.
Publication
Advanced Non-animal Models in Biomedical Research: neurodegenerative diseases
Witters, H., Verstraelen, S., Aerts, L., Miccoli, B., Delahanty, A., Dura, A., Gribaldo, L. and Whelan, M., Advanced Non-animal Models in Biomedical Research: neurodegenerative diseases, EUR 30334 EN, Publications Office of the European Union, Luxembourg, 2021, ISBN 978-92-76-35944-9 (online),978-92-76-35945-6 (print), doi:10.2760/386 (online),10.2760/093006 (print), JRC124723.

Geographic areas

European Union

Temporal coverage

From date To date
2013-01-01 2018-12-31

Additional information

Published by
European Commission, Joint Research Centre
Created date
2021-04-14
Modified date
2021-07-27
Issued date
2021-04-28
Landing page
https://ec.europa.eu/jrc/en/eurl/ecvam/knowledge-sharing-3rs/life-science-research/neurodegenerative-diseases 
Language(s)
English
Data theme(s)
Science and technology
Update frequency
irregular
Identifier
http://data.europa.eu/89h/a8fd26ef-b113-47ab-92ba-fd2be449c7eb
Popularity