Skip to main content
Article thumbnail
Location of Repository

Towards understanding the myometrial physiome: approaches for the construction of a virtual physiological uterus

By Michael J. Taggart, Andrew M. Blanks, Sanjay Kharche, Arun Holden, Bin Wang and Henggui Zhang

Abstract

Premature labour (PTL) is the single most significant factor contributing to neonatal morbidity in Europe with enormous attendant healthcare and social costs. Consequently, it remains a major challenge to alleviate the cause and impact of this condition. Our ability to improve the diagnosis and treatment of women most at risk of PTL is, however, actually hampered by an incomplete understanding of the ways in which the functions of the uterine myocyte are integrated to effect an appropriate biological response at the multicellular whole organ system. The level of organization required to co-ordinate labouring uterine contractile effort in time and space can be considered immense. There is a multitude of what might be considered mini-systems involved, each with their own regulatory feedback cycles, yet they each, in turn, will influence the behaviour of a related system. These include, but are not exclusive to, gestational-dependent regulation of transcription, translation, post-translational modifications, intracellular signaling dynamics, cell morphology, intercellular communication and tissue level morphology.\ud \ud We propose that in order to comprehend how these mini-systems integrate to facilitate uterine contraction during labour (preterm or term) we must, in concert with biological experimentation, construct detailed mathematical descriptions of our findings. This serves three purposes: firstly, providing a quantitative description of series of complex observations; secondly, proferring a database platform that informs further testable experimentation; thirdly, advancing towards the establishment of a virtual physiological uterus and in silico clinical diagnosis and treatment of PTL.\ud \u

Topics: RG
Publisher: BioMed Central Ltd.
Year: 2007
OAI identifier: oai:wrap.warwick.ac.uk:565

Suggested articles

Citations

  1. (2003). A functional genomic study to identify differential gene expression in the preterm and term human myometrium. Biol Reprod
  2. (2001). A: Overview of current research in parturition. Exp Physiol doi
  3. (2005). Ann Word RA: Human Myometrial Gene Expression Before and During Parturition. Biol Reprod doi
  4. (2007). Beedle AS: Non-genomic transgenerational inheritance of disease risk. BioEssays doi
  5. (2006). Characterization of abdominally acquired uterine electrical signals in humans, using a non-linear analytic method. Med Biol Eng Comput doi
  6. (2004). Computational physiology and the physiome project. Exp Physiol doi
  7. Databases for systems biology. doi
  8. (2006). Eils R: Computational Systems Biology London: doi
  9. (2004). Metabolomics and systems biology. doi
  10. (2005). Neurologic and developmental disability at six years of age after extremely preterm birth. doi
  11. (2002). Preterm delivery. Lancet doi
  12. (1998). Simultaneous measurements of electrical activity, intracellular calcium and contraction in smooth muscle.
  13. (1997). Sodium and calcium inward currents in freshly dissociated smooth myocytes of rat uterus. doi
  14. (2005). Taggart MJ: Expression of Scaffolding, Signalling and Contractile-Filament Proteins in Human Myometria: Effects of Pregnancy and Labour. J Cell Mol Med doi
  15. (2005). Taggart MJ: Gestational-dependent changes in the expression of signal transduction and contractile filament-associated proteins in mouse myometrium. doi
  16. (2001). Taggart MJ: Receptor-coupled contractility of uterine smooth muscle: from membrane to myofilaments. Exp Physiol doi
  17. (2005). The economic consequences of preterm birth during the first 10 years of life. BJOG doi
  18. (1993). Uterine electromyography: a critical review. doi
  19. Zhang H: Towards an electrophysiological functional atlas of the uterus in premature and full term labour.
  20. (2005). Zhanh HL: Imaging the heart: computer 3-dimensional anatomic models of the heart. doi

To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.