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Circadian rhythm and cell population growth

  • Equipe-projet BANG
  • INRIA Institut National de Recherche en Informatique et en Automatique
  • Sorbonne Université
  • Centre national de la recherche scientifique

Research output: Contribution to journalArticlepeer-review

22 Citations (Scopus)

Abstract

Molecular circadian clocks, that are found in all nucleated cells of mammals, are known to dictate rhythms of approximately 24 h (circa diem) to many physiological processes. This includes metabolism (e.g., temperature, hormonal blood levels) and cell proliferation. It has been observed in tumor-bearing laboratory rodents that a severe disruption of these physiological rhythms results in accelerated tumor growth.The question of accurately representing the control exerted by circadian clocks on healthy and tumor tissue proliferation to explain this phenomenon has given rise to mathematical developments, which we review. The main goal of these previous works was to examine the influence of a periodic control on the cell division cycle in physiologically structured cell populations, comparing the effects of periodic control with no control, and of different periodic controls between them. We state here a general convexity result that may give a theoretical justification to the concept of cancer chronotherapeutics. Our result also leads us to hypothesize that the above mentioned effect of disruption of circadian rhythms on tumor growth enhancement is indirect, that is, this enhancement is likely to result from the weakening of healthy tissue that is at work fighting tumor growth.

Original languageEnglish
Pages (from-to)1558-1567
Number of pages10
JournalMathematical and Computer Modelling
Volume53
Issue number7-8
DOIs
Publication statusPublished - 1 Apr 2011

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Cancer
  • Circadian rhythms
  • Eigenvalues
  • Growth processes
  • Mathematical biology
  • Partial differential equations
  • Physiologically structured models

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