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Dynamic Biochemical and Cellular Models of Bone Physiology: Integrating Remodeling Processes, Tumor Growth, and Therapy

  • Rui M. Coelho
  • Joana P. Neto
  • Duarte Valério
  • Susana VingaEmail author
Chapter
  • 8 Downloads
Part of the Lecture Notes in Computational Vision and Biomechanics book series (LNCVB, volume 35)

Abstract

Bone is an active   connective tissue composed of different types of cells. The dynamic behavior of bone remodeling processes is typically represented through differential equations, which represent the physiological phenomena occurring in this organ. These models take into account the tight biochemical regulation between osteoclasts and osteoblasts and have also been enriched with variables and parameters related to bone pathologies and treatment. This chapter reviews some of the more recent models describing bone physiology, focusing on those that include the main cellular processes, along the biochemical control, and also the pharmacokinetic/pharmacodynamic (PK/PD) of the most common treatments for diseases such as cancer. These models are then compared in terms of the simulations obtained and, finally, some highlights on integrating them with the biomechanical component of the system which will be given. These models are expected to provide a valuable insight into this complex system and to support the development of clinical decision systems for bone pathologies.

Notes

Acknowledgements

This work was supported by FCT, through IDMEC, under LAETA, projects UID/EMS/50022/2019 and BoneSys (Bone biochemical and biomechanic integrated modeling: addressing remodeling, disease and therapy dynamics), joint Polish–Portuguese project “Modeling and controlling cancer evolution using fractional calculus”, and PERSEIDS (PTDC/EMS-SIS/0642/2014). R. Moura Coelho acknowledges the support by grant ZEUGMA-BiNOVA, number AD0075. S. Vinga acknowledges the support by Program Investigador FCT (IF/00653/2012) from FCT, co-funded by the European Social Fund (ESF) through the Operational Program Human Potential (POPH).

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Rui M. Coelho
    • 1
  • Joana P. Neto
    • 2
  • Duarte Valério
    • 1
  • Susana Vinga
    • 3
    Email author
  1. 1.IDMEC, Instituto Superior TécnicoUniversidade de LisboaLisbonPortugal
  2. 2.Instituto Superior TécnicoUniversidade de LisboaLisbonPortugal
  3. 3.INESC-ID, Instituto Superior TécnicoUniversidade de LisboaLisbonPortugal

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