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

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Taggart, Michael John, Blanks, Andrew M., Kharche, Sanjay , Holden, Arun, Wang, Bin and Zhang, Henggui . (2007) Towards understanding the myometrial physiome: approaches for the construction of a virtual physiological uterus. BMC Pregnancy and Childbirth, Vol.7 (No.1). ISSN 1471-2393

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Official URL: http://dx.doi.org/10.1186/1471-2393-7-S1-S3

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. 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.

Item Type: Journal Article
Subjects: R Medicine > RG Gynecology and obstetrics
Divisions: Faculty of Medicine > Warwick Medical School > Clinical Sciences Research Institute (CSRI)
Faculty of Medicine > Warwick Medical School
Library of Congress Subject Headings (LCSH): Labor (Obstetrics), Mathematical models
Journal or Publication Title: BMC Pregnancy and Childbirth
Publisher: BioMed Central Ltd.
ISSN: 1471-2393
Date: 1 June 2007
Volume: Vol.7
Number: No.1
Identification Number: 10.1186/1471-2393-7-S1-S3
Status: Peer Reviewed
Access rights to Published version: Open Access
Funder: Action Medical Research (AMR), Wellcome Trust (London, England), European Union (EU), Ferring, Serono, Perkin Elmer
Grant number: LSHB-CT-2004-503243 (EU)
Version or Related Resource: Published as part of BMC Pregnancy and Childbirth, 7 (1), 2007: Proceedings of the First and Second European Workshops on Preterm Labour of the Special Non-Invasive Advances in Fetal and Neonatal Evaluation (SAFE) Network of Excellence.
References: 1. Crampin EJ, Halstead M, Hunter P, Nielsen P, Noble D, Smith N, Tawhai M: Computational physiology and the physiome project. Exp Physiol 2004, 89:1-26. 2. Lopez Bernal A: Overview of current research in parturition. Exp Physiol 2001, 86:213-222. 3. Slattery MM, Morrison JJ: Preterm delivery. Lancet 2002, 360:1489-1497. 4. Marlow N, Wolke D, Bracewell MA, Samara M: Neurologic and developmental disability at six years of age after extremely preterm birth. N Engl J Med 2005, 352:9-19. 5. Petrou S: The economic consequences of preterm birth during the first 10 years of life. BJOG 2005, 112(Suppl 1):10-15. 6. Lee Y-H, Hwang M-K, Morgan KG, Taggart MJ: Receptor-coupled contractility of uterine smooth muscle: from membrane to myofilaments. Exp Physiol 2001, 86:283-288. 7. Riley M, Baker PN, Tribe RT, Taggart MJ: Expression of Scaffolding, Signalling and Contractile-Filament Proteins in Human Myometria: Effects of Pregnancy and Labour. J Cell Mol Med 2005, 9:122-134. 8. Riley M, Wu X, Baker PN, Taggart MJ: Gestational-dependent changes in the expression of signal transduction and contractile filament-associated proteins in mouse myometrium. J Soc Gynecol Investig 2005, 12:e33-e43. 9. Charpigny G, Leroy MJ, Breuiller-Fouche M, Tanfin Z, Mhaouty-Kodja S, Robin P, Leiber D, Cohen-Tannoudji J, Cabrol D, Barberis C, Germain G: A functional genomic study to identify differential gene expression in the preterm and term human myometrium. Biol Reprod 2003, 68:2289-2296. 10. Havelock JC, Keller P, Muleba N, Mayhew BA, Casey BM, Rainey WE, Ann Word RA: Human Myometrial Gene Expression Before and During Parturition. Biol Reprod 2005, 72:707-719. 11. Kell D: Metabolomics and systems biology. Curr Opin Microbiol 2004, 7:296-307. 12. Gluckman PD, Hanson MA, Beedle AS: Non-genomic transgenerational inheritance of disease risk. BioEssays 2007, 29:145-154. 13. Kriete A, Eils R: Computational Systems Biology London: Elsevier Academic Press; 2006. 14. Holden AV, Pan L, Blanks AM, Evans CJ, Kharche S, Simpson NAB, Smye S, Snowden S, Taggart MJ, Walker JJ, Zhang H: Towards an electrophysiological functional atlas of the uterus in premature and full term labour. Proceedings of the MICCAI Workshop – From Statistical Atlases to Personalized Models: Understanding Complex Diseases in Populations and Individuals . 15. Maner WL, Mackay LB, Saade GR, Garfield RE: Characterization of abdominally acquired uterine electrical signals in humans, using a non-linear analytic method. Med Biol Eng Comput 2006, 44:117-123. 16. Devedeux D, Marque C, Mansour S, Germain G, Duchene J: Uterine electromyography: a critical review. Am J Obstet Gynecol 1993, 169:1636-1653. 17. Oczeretko E, Swiatecka J, Kitlas A, Laudanski T, Pierzynski P: Visualization of synchronization of the uterine contraction signals: Running cross-correlation and wavelet running cross-correlation methods. 2006, 28:75-81. 18. Boyett MR, Li J, Inada S, Dobrzynski H, Schneider JR, Holden AV, Zhanh HL: Imaging the heart: computer 3-dimensional anatomic models of the heart. J Electrocardiol 2005, 38:113-120. 19. Eils J, Lawerenz C, Astrahantseff K, Ginkel M, Eils R: Databases for systems biology. In Computational Systems Biology Edited by: Kriete A, Eils R. London: Elsevier Academic Press; 2006:15-38. 20. Yoshino M, Wang SY, Kao CY: Sodium and calcium inward currents in freshly dissociated smooth myocytes of rat uterus. J Gen Physiol 1997, 110:565-577. 21. Mankouri HW, Burdyga T, Taggart MJ, Wray S: Simultaneous measurements of electrical activity, intracellular calcium and contraction in smooth muscle. J Physiol 1998, 509.P:2P-3P.
URI: http://wrap.warwick.ac.uk/id/eprint/565

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