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Deep Behavioural Phenotyping Reveals Divergent Trajectories of Ageing and Quantifies Health in  C. elegans

31 Pages Posted: 11 Sep 2019 Sneak Peek Status: Review Complete

See all articles by Céline N. Martineau

Céline N. Martineau

University of Groningen - European Research Institute for the Biology of Ageing (ERIBA)

Bora Baskaner

University of Groningen - European Research Institute for the Biology of Ageing (ERIBA)

Renée I. Seinstra

University of Groningen - European Research Institute for the Biology of Ageing (ERIBA)

William R. Schafer

University of Cambridge - MRC Laboratory of Molecular Biology

André EX Brown

MRC London Institute of Medical Sciences

Ellen AA Nollen

University of Groningen - European Research Institute for the Biology of Ageing (ERIBA)

patrick laurent

Université Libre de Bruxelles (ULB) - Laboratory of Neurophysiology

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Abstract

Neurodegenerative diseases are suggested as a cause or a consequence of the acceleration of physiological ageing processes. Here, we compared the processes of physiological and pathological ageing in Caenorhabditis elegans. A multi-parametric approach precisely described the phenotypic evolution of each individual. Trajectories of ageing within the phenotypic landscape are defined and analysed. Rather than an acceleration of ageing, our model for synucleinopathy showed a divergent and accelerated trajectory of ageing, compared to control. Despite of similar lifespans, the disease-model worms displayed an early onset of decline in their phenotypic range of ability, an index of health. The pathological progression of individual animals can be predicted from early phenotypes with a high accuracy. We demonstrate the power of multi-parametric dataset to describe ageing, to quantify health and to predict specific health risks.

Suggested Citation

Martineau, Céline N. and Baskaner, Bora and Seinstra, Renée I. and Schafer, William R. and Brown, André EX and Nollen, Ellen AA and laurent, patrick, Deep Behavioural Phenotyping Reveals Divergent Trajectories of Ageing and Quantifies Health in  C. elegans (September 9, 2019). ISCIENCE-D-19-00965. Available at SSRN: https://ssrn.com/abstract=3450623 or http://dx.doi.org/10.2139/ssrn.3450623
This is a paper under consideration at Cell Press and has not been peer-reviewed.

Céline N. Martineau

University of Groningen - European Research Institute for the Biology of Ageing (ERIBA)

Antonius Deusinglaan, 1
Building 3226
Groningen, 9713
Netherlands

Bora Baskaner

University of Groningen - European Research Institute for the Biology of Ageing (ERIBA)

Antonius Deusinglaan, 1
Building 3226
Groningen, 9713
Netherlands

Renée I. Seinstra

University of Groningen - European Research Institute for the Biology of Ageing (ERIBA)

Antonius Deusinglaan, 1
Building 3226
Groningen, 9713
Netherlands

William R. Schafer

University of Cambridge - MRC Laboratory of Molecular Biology

MRC Laboratory of Molecular Biology
Francis Crick Avenue
Cambridge, CB2 0QH
United Kingdom

André EX Brown

MRC London Institute of Medical Sciences

Du Cane Rd
London W12 0NN
United Kingdom

Ellen AA Nollen

University of Groningen - European Research Institute for the Biology of Ageing (ERIBA)

Antonius Deusinglaan, 1
Building 3226
Groningen, 9713
Netherlands

Patrick Laurent (Contact Author)

Université Libre de Bruxelles (ULB) - Laboratory of Neurophysiology ( email )

Belgium

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