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Measuring and modeling interventions in aging

Many dietary, pharmaceutical, and genetic interventions have been found to increase the lifespan of laboratory animals. Several are now being explored for clinical application. To understand the physiologic action and therapeutic potential of interventions in aging, researchers must build quantitati...

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Autor principal: Stroustrup, Nicholas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6284105/
https://www.ncbi.nlm.nih.gov/pubmed/30099284
http://dx.doi.org/10.1016/j.ceb.2018.07.004
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author Stroustrup, Nicholas
author_facet Stroustrup, Nicholas
author_sort Stroustrup, Nicholas
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description Many dietary, pharmaceutical, and genetic interventions have been found to increase the lifespan of laboratory animals. Several are now being explored for clinical application. To understand the physiologic action and therapeutic potential of interventions in aging, researchers must build quantitative models. Do interventions delay the onset of aging? Slow it down? Merely ameliorate some of its symptoms? If interventions slow some aging mechanisms but accelerate others, can we detect or predict the systemic consequences? Statistical and analytic models provide a crucial framework in which to answer these questions and clarify the systems-level effect of molecular interventions in aging. This review provides a brief survey of approaches to modeling lifespan data and places them in the context of recent experimental work.
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spelling pubmed-62841052018-12-17 Measuring and modeling interventions in aging Stroustrup, Nicholas Curr Opin Cell Biol Article Many dietary, pharmaceutical, and genetic interventions have been found to increase the lifespan of laboratory animals. Several are now being explored for clinical application. To understand the physiologic action and therapeutic potential of interventions in aging, researchers must build quantitative models. Do interventions delay the onset of aging? Slow it down? Merely ameliorate some of its symptoms? If interventions slow some aging mechanisms but accelerate others, can we detect or predict the systemic consequences? Statistical and analytic models provide a crucial framework in which to answer these questions and clarify the systems-level effect of molecular interventions in aging. This review provides a brief survey of approaches to modeling lifespan data and places them in the context of recent experimental work. Elsevier 2018-12 /pmc/articles/PMC6284105/ /pubmed/30099284 http://dx.doi.org/10.1016/j.ceb.2018.07.004 Text en © 2018 The Author http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Stroustrup, Nicholas
Measuring and modeling interventions in aging
title Measuring and modeling interventions in aging
title_full Measuring and modeling interventions in aging
title_fullStr Measuring and modeling interventions in aging
title_full_unstemmed Measuring and modeling interventions in aging
title_short Measuring and modeling interventions in aging
title_sort measuring and modeling interventions in aging
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6284105/
https://www.ncbi.nlm.nih.gov/pubmed/30099284
http://dx.doi.org/10.1016/j.ceb.2018.07.004
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