IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v11y2023i15p3307-d1204276.html
   My bibliography  Save this article

Application of Spectral Methods of Analysis for Description of Ultradian Biorhythms at the Levels of Physiological Systems, Cells and Molecules (Review)

Author

Listed:
  • Maxim E. Astashev

    (Prokhorov General Physics Institute of the Russian Academy of Sciences, 38 Vavilova St., Moscow 119991, Russia)

  • Dmitriy A. Serov

    (Prokhorov General Physics Institute of the Russian Academy of Sciences, 38 Vavilova St., Moscow 119991, Russia)

  • Sergey V. Gudkov

    (Prokhorov General Physics Institute of the Russian Academy of Sciences, 38 Vavilova St., Moscow 119991, Russia)

Abstract

The presence of biological rhythms is a characteristic of all living organisms. Over the past 60 years, scientists around the world have accumulated a huge amount of data on rhythmic processes in living systems at various levels. The acquired knowledge has found applications in human economic activity and medicine. The ultradian (less than a day) rhythms at the organismal, organ, and cellular levels are characterized by high diversity. Unfortunately, biorhythms in different systems are considered, most often, in isolation from each other. Much knowledge about biorhythms was obtained using expert evaluation methods, and later methods of spectral analysis were used to describe biorhythms. Ultradian rhythms have a relatively short duration; therefore, they can be characterized by spectral analysis methods. More and more researchers believe that in order to further expand the understanding of the nature and purpose of biorhythms, the use of more advanced methods of mathematical processing is required, and rhythms in different organs, tissues, and cells should be considered parts of a single system. This review is intended to provide the reader with the variety of ultradian rhythms in living systems (organismal, organ, cellular, molecular levels), the mechanisms of their generation, and their functions to give the reader a picture of the possible relationships between these rhythms. Further, the reader will be able to get acquainted with the variety of mathematical methods for analyzing biorhythms, including bispectral and cross-correlation analyses.

Suggested Citation

  • Maxim E. Astashev & Dmitriy A. Serov & Sergey V. Gudkov, 2023. "Application of Spectral Methods of Analysis for Description of Ultradian Biorhythms at the Levels of Physiological Systems, Cells and Molecules (Review)," Mathematics, MDPI, vol. 11(15), pages 1-51, July.
  • Handle: RePEc:gam:jmathe:v:11:y:2023:i:15:p:3307-:d:1204276
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/11/15/3307/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7390/11/15/3307/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Rachel S. Edgar & Edward W. Green & Yuwei Zhao & Gerben van Ooijen & Maria Olmedo & Ximing Qin & Yao Xu & Min Pan & Utham K. Valekunja & Kevin A. Feeney & Elizabeth S. Maywood & Michael H. Hastings & , 2012. "Correction: Corrigendum: Peroxiredoxins are conserved markers of circadian rhythms," Nature, Nature, vol. 489(7417), pages 590-590, September.
    2. Rachel S. Edgar & Edward W. Green & Yuwei Zhao & Gerben van Ooijen & Maria Olmedo & Ximing Qin & Yao Xu & Min Pan & Utham K. Valekunja & Kevin A. Feeney & Elizabeth S. Maywood & Michael H. Hastings & , 2012. "Peroxiredoxins are conserved markers of circadian rhythms," Nature, Nature, vol. 485(7399), pages 459-464, May.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Miha Moškon & Tadeja Režen & Matevž Juvančič & Špela Verovšek, 2022. "Integrative Analysis of Rhythmicity: From Biology to Urban Environments and Sustainability," IJERPH, MDPI, vol. 20(1), pages 1-13, December.
    2. Yuqing He & Yingjun Yu & Xiling Wang & Yumei Qin & Chen Su & Lei Wang, 2022. "Aschoff’s rule on circadian rhythms orchestrated by blue light sensor CRY2 and clock component PRR9," Nature Communications, Nature, vol. 13(1), pages 1-15, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jmathe:v:11:y:2023:i:15:p:3307-:d:1204276. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.