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Understanding the Human Aging Proteome Using Epidemiological Models

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Computational Systems Biology in Medicine and Biotechnology

Part of the book series: Methods in Molecular Biology ((MIMB,volume 2399))

Abstract

Human aging is a complex multifactorial process associated with a decline of physical and cognitive function and high susceptibility to chronic diseases, influenced by genetic, epigenetic, environmental, and demographic factors. This chapter will provide an overview on the use of epidemiological models with proteomics data as a method that can be used to identify factors that modulate the aging process in humans. This is demonstrated with proteomics data from human plasma and skeletal muscle, where the combination with epidemiological models identified a set of mitochondrial, spliceosome, and senescence proteins as well as the role of energetic pathways such as glycolysis, and electron transport pathways that regulate the aging process.

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Acknowledgments

This work was supported by the Intramural Research Program of the National Institute on Aging, National Institutes of Health.

Author Contributions: Supervision: L.F; writing first draft and figure creations: CU-M, T.T, R.T., and R.M.; Editing: C.U-M, T.T, A. Z.M., P.Q, R.T, R.M., and L.F.

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Authors and Affiliations

  1. Biomedical Research Centre, National Institute on Aging, NIH, Baltimore, MD, USA

    Ceereena Ubaida-Mohien, Ruin Moaddel, Zenobia Moore, Pei-Lun Kuo, Ravi Tharakan, Toshiko Tanaka & Luigi Ferrucci

Authors
  1. Ceereena Ubaida-Mohien
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  2. Ruin Moaddel
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  3. Zenobia Moore
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  4. Pei-Lun Kuo
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  5. Ravi Tharakan
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  6. Toshiko Tanaka
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  7. Luigi Ferrucci
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Corresponding author

Correspondence to Luigi Ferrucci .

Editor information

Editors and Affiliations

  1. Laboratory of Cardiovascular Science, National Institute on Aging, NIH, Baltimore, MD, USA

    Sonia Cortassa

  2. Translational Gerontology Branch, Laboratory of Cardiovascular Science, National Institute on Aging, NIH, Baltimore, MD, USA

    Miguel A. Aon

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© 2022 This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply

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Ubaida-Mohien, C. et al. (2022). Understanding the Human Aging Proteome Using Epidemiological Models. In: Cortassa, S., Aon, M.A. (eds) Computational Systems Biology in Medicine and Biotechnology. Methods in Molecular Biology, vol 2399. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-1831-8_8

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  • DOI: https://doi.org/10.1007/978-1-0716-1831-8_8

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  • Publisher Name: Humana, New York, NY

  • Print ISBN: 978-1-0716-1830-1

  • Online ISBN: 978-1-0716-1831-8

  • eBook Packages: Springer Protocols

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