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A biphasic model of lifespan in nematode Caenorhabditis elegans worm
Suhayl Mulla, Adele Ludlam, Aiman Elragig, Cathy Slack, Zita Balklava, Michael Stich, Alex Cheong
Royal Society Open Science · 2023 · ▲ 5 citations
Abstract
Ageing research focuses on identifying lifespan modifiers and understanding and appropriately interpreting their effects. One of the most relevant quantities being studied is the shape of the survival curve that can reveal crucial information on the mechanism of action. Here, we introduce a bilogistic model to describe the shape of the lifespan curves of Caenorhabditis elegans populations. Using the corrected Akaike information criterion and the RMSE as goodness-of-fit tests, we show that the bilogistic model provides a better fit to the experimental data from nematode worms than other mathematical models and can identify and confirm biphasic lifespan data. Our parametric model offers a method to interpret replicate experiments data in terms of the shape parameters of the lifespan curve and enables robust statistical analysis of intra- and inter-group variance. We apply the model to novel lifespan data from C. elegans and Drosophila melanogaster and provide a rational statistical analysis of lifespan modifiers such as temperature and daf-16/FOXO mutation.
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- DOI
- 10.1098/rsos.220991
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- 2026-10-12 MST
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APA
Mulla, S., Ludlam, A., Elragig, A., Slack, C., Balklava, Z., Stich, M., & Cheong, A. (2023). A biphasic model of lifespan in nematode Caenorhabditis elegans worm. <em>Royal Society Open Science</em>. https://doi.org/10.1098/rsos.220991
Vancouver
Mulla S, Ludlam A, Elragig A, Slack C, Balklava Z, Stich M, et al. A biphasic model of lifespan in nematode Caenorhabditis elegans worm. Royal Society Open Science. 2023. doi:10.1098/rsos.220991.
BibTeX
@article{suhayl2023Abipha,
title = {A biphasic model of lifespan in nematode Caenorhabditis elegans worm},
author = {Suhayl Mulla and Adele Ludlam and Aiman Elragig and Cathy Slack and Zita Balklava and Michael Stich and Alex Cheong},
journal = {Royal Society Open Science},
year = {2023},
doi = {10.1098/rsos.220991},
}
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