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SYSTEMS BIOLOGY OF HUMAN AGING - NETWORK MODEL 2019

This network schema is presented to aid in conceptualizing the many processes of aging, the causal chains of events, and the interactions among them, including feedback and vicious cycles. Contemplation of this network suggests promising intervention points for therapy development. This diagram is m...

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Autor principal: Furber, John D
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6844929/
http://dx.doi.org/10.1093/geroni/igz038.3527
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author Furber, John D
author_facet Furber, John D
author_sort Furber, John D
collection PubMed
description This network schema is presented to aid in conceptualizing the many processes of aging, the causal chains of events, and the interactions among them, including feedback and vicious cycles. Contemplation of this network suggests promising intervention points for therapy development. This diagram is maintained on the Web as a reference for researchers and students. Content is updated as new information comes to light. www.LegendaryPharma.com/chartbg.html At first glance the network looks like a complicated web. However, as a conceptual summary, in one view, we can see how the many biogerontological processes relate to each other. Importantly, examination of these relationships allows us to pick out reasonably plausible causal chains of events. Within these chains, we can see age-related changes or accumulations that appear to be promising targets for future therapy development. Especially harmful is damage to the body's regeneration and repair systems, because they normally repair damage to other structures and systems. The many observable signs of human senescence have been hypothesized by various researchers to result from several primary causes. Inspection of the biochemical and physiological pathways associated with age-related changes and with the hypothesized causes reveals several parallel cascades of events that involve several important interactions and feedback loops. This network model includes both intracellular and extracellular processes. It ranges in scale from the molecular to the whole-body level. Effects due to externalities, lifestyle, environment, and proposed interventions are highlighted around the margins of the network.
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spelling pubmed-68449292019-11-18 SYSTEMS BIOLOGY OF HUMAN AGING - NETWORK MODEL 2019 Furber, John D Innov Aging Session Lb3620 (Late Breaking Poster) This network schema is presented to aid in conceptualizing the many processes of aging, the causal chains of events, and the interactions among them, including feedback and vicious cycles. Contemplation of this network suggests promising intervention points for therapy development. This diagram is maintained on the Web as a reference for researchers and students. Content is updated as new information comes to light. www.LegendaryPharma.com/chartbg.html At first glance the network looks like a complicated web. However, as a conceptual summary, in one view, we can see how the many biogerontological processes relate to each other. Importantly, examination of these relationships allows us to pick out reasonably plausible causal chains of events. Within these chains, we can see age-related changes or accumulations that appear to be promising targets for future therapy development. Especially harmful is damage to the body's regeneration and repair systems, because they normally repair damage to other structures and systems. The many observable signs of human senescence have been hypothesized by various researchers to result from several primary causes. Inspection of the biochemical and physiological pathways associated with age-related changes and with the hypothesized causes reveals several parallel cascades of events that involve several important interactions and feedback loops. This network model includes both intracellular and extracellular processes. It ranges in scale from the molecular to the whole-body level. Effects due to externalities, lifestyle, environment, and proposed interventions are highlighted around the margins of the network. Oxford University Press 2019-11-08 /pmc/articles/PMC6844929/ http://dx.doi.org/10.1093/geroni/igz038.3527 Text en © The Author(s) 2019. Published by Oxford University Press on behalf of The Gerontological Society of America. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Session Lb3620 (Late Breaking Poster)
Furber, John D
SYSTEMS BIOLOGY OF HUMAN AGING - NETWORK MODEL 2019
title SYSTEMS BIOLOGY OF HUMAN AGING - NETWORK MODEL 2019
title_full SYSTEMS BIOLOGY OF HUMAN AGING - NETWORK MODEL 2019
title_fullStr SYSTEMS BIOLOGY OF HUMAN AGING - NETWORK MODEL 2019
title_full_unstemmed SYSTEMS BIOLOGY OF HUMAN AGING - NETWORK MODEL 2019
title_short SYSTEMS BIOLOGY OF HUMAN AGING - NETWORK MODEL 2019
title_sort systems biology of human aging - network model 2019
topic Session Lb3620 (Late Breaking Poster)
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6844929/
http://dx.doi.org/10.1093/geroni/igz038.3527
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