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    Aging and Health

    A Systems Biology Perspective

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    Contributor(s)
    Yashin, Anatoliy I. (editor)
    Jazwinski, S. Michal (editor)
    Collection
    Knowledge Unlatched (KU)
    Number
    103014
    Language
    English
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    Abstract
    Aging is a major risk factor for chronic diseases, which in turn can provide information about the aging of a biological system. This publication serves as an introduction to systems biology and its application to biological aging. Key pathways and processes that impinge on aging are reviewed, and how they contribute to health and disease during aging is discussed. The evolution of this situation is analyzed, and the consequences for the study of genetic effects on aging are presented. Epigenetic programming of aging, as a continuation of development, creates an interface between the genome and the environment. New research into the gut microbiome describes how this interface may operate in practice with marked consequences for a variety of disorders. This analysis is bolstered by a view of the aging organism as a whole, with conclusions about the mechanisms underlying resilience of the organism to change, and is expanded with a discussion of circadian rhythms in aging.
    URI
    http://library.oapen.org/handle/20.500.12657/24382
    Keywords
    Medicine & Public Health; Gerontology; Geriatrics; Genetics; Bioinformatics; Genomics; Physiology; Medicine
    DOI
    10.1159/issn.0074-1132
    ISBN
    9783318027303
    OCN
    1135846389
    Publisher
    Karger
    Publisher website
    https://www.karger.com/
    Publication date and place
    2014
    Grantor
    • Knowledge Unlatched - 103014 - KU Select 2018: STEM Backlist Books
    Classification
    Geriatric medicine
    Rights
    https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
    • Imported or submitted locally

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    License

    • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

    Credits

    • logo EU
    • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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