Bury, A.G., Olejnik, A., Tocco, C. et al. (11 more authors) (2025) Investigating the ageing-Parkinson’s disease nexus: standardisation of in vitro models and techniques by the PD-AGE network. npj Parkinson's Disease, 11. 289.
Abstract
Ageing is the primary risk factor for Parkinson’s disease, yet the intricate interplay between these processes remains ambiguous. This position paper, a collaborative output from the PD-AGE consortium, addresses the urgent need for standardising methods in in vitro modelling. A panel of international experts recommends human induced pluripotent stem cell (iPSC)-derived models, with chemically induced ageing methods, such as the SLO cocktail, as a robust system. Furthermore, the consortium highlights the value of direct and semi-direct reprogramming for retaining donor-specific ageing phenotypes. The paper also outlines a prioritised panel of measurable parameters, categorised into senescence, inflammaging, omics profiling, and mitochondrial dysfunction, providing a consistent framework to enhance research reproducibility, investigating the nexus of ageing and Parkinson’s. In addition, we provide links to SOPs to measure the key measurable ageing parameters outlined in this review to facilitate consistency and reproducibility within the field.
Metadata
Item Type: | Article |
---|---|
Authors/Creators: |
|
Copyright, Publisher and Additional Information: | © 2025 The Authors. This is an Open Access article distributed under the terms of the Creative Commons Attribution Licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
Keywords: | Biological techniques; Computational biology and bioinformatics; Neuroscience; Stem cells |
Dates: |
|
Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > School of Medicine and Population Health |
Date Deposited: | 15 Oct 2025 16:01 |
Last Modified: | 15 Oct 2025 16:01 |
Published Version: | https://doi.org/10.1038/s41531-025-01137-2 |
Status: | Published |
Publisher: | Springer Science and Business Media LLC |
Refereed: | Yes |
Identification Number: | 10.1038/s41531-025-01137-2 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:232901 |