Literature DB >> 17487585

Biochemomechanics of cerebral vasospasm and its resolution: II. Constitutive relations and model simulations.

S Baek1, A Valentín, J D Humphrey.   

Abstract

Cerebral vasospasm is a poorly understood clinical condition that appears to result from complex biochemical and biomechanical processes that manifest as yet another example of vascular growth and remodeling. We submit that mathematical modeling holds great promise to help synthesize diverse types of data and thereby to increase our understanding of vasospasm. Toward this ultimate goal, we present constitutive relations and parametric studies that illustrate the potential utility of a new theoretical framework that combines information on wall mechanics, hemodynamics, and chemical kinetics. In particular, we show that chemical and mechanical mediators of cellular and extracellular matrix turnover can differentially dominate the progression and resolution of vasospasm. Moreover, based on our simulations, endothelial damage can significantly alter the time-course and extent of vasospasm as can impairment of autoregulation. Although the present results are consistent with salient features of clinically reported vasospasm, and thus provide some new insight, we suggest that most importantly they reveal areas of pressing need with regard to the collection of additional experimental data. Without appropriate data, our understanding of cerebral vasospasm will remain incomplete.

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Year:  2007        PMID: 17487585     DOI: 10.1007/s10439-007-9322-x

Source DB:  PubMed          Journal:  Ann Biomed Eng        ISSN: 0090-6964            Impact factor:   3.934


  41 in total

1.  Modelling carotid artery adaptations to dynamic alterations in pressure and flow over the cardiac cycle.

Authors:  L Cardamone; A Valentín; J F Eberth; J D Humphrey
Journal:  Math Med Biol       Date:  2010-05-19       Impact factor: 1.854

2.  Complementary vasoactivity and matrix remodelling in arterial adaptations to altered flow and pressure.

Authors:  A Valentín; L Cardamone; S Baek; J D Humphrey
Journal:  J R Soc Interface       Date:  2009-03-06       Impact factor: 4.118

3.  Modeling mechano-driven and immuno-mediated aortic maladaptation in hypertension.

Authors:  Marcos Latorre; Jay D Humphrey
Journal:  Biomech Model Mechanobiol       Date:  2018-06-07

4.  Evaluation of fundamental hypotheses underlying constrained mixture models of arterial growth and remodelling.

Authors:  A Valentín; J D Humphrey
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2009-09-13       Impact factor: 4.226

5.  Computational simulation of the adaptive capacity of vein grafts in response to increased pressure.

Authors:  Abhay B Ramachandra; Sethuraman Sankaran; Jay D Humphrey; Alison L Marsden
Journal:  J Biomech Eng       Date:  2015-01-29       Impact factor: 2.097

6.  Prior Distributions of Material Parameters for Bayesian Calibration of Growth and Remodeling Computational Model of Abdominal Aortic Wall.

Authors:  Sajjad Seyedsalehi; Liangliang Zhang; Jongeun Choi; Seungik Baek
Journal:  J Biomech Eng       Date:  2015-10       Impact factor: 2.097

Review 7.  Growth and remodelling of living tissues: perspectives, challenges and opportunities.

Authors:  Davide Ambrosi; Martine Ben Amar; Christian J Cyron; Antonio DeSimone; Alain Goriely; Jay D Humphrey; Ellen Kuhl
Journal:  J R Soc Interface       Date:  2019-08-21       Impact factor: 4.118

8.  Gradual loading ameliorates maladaptation in computational simulations of vein graft growth and remodelling.

Authors:  Abhay B Ramachandra; Jay D Humphrey; Alison L Marsden
Journal:  J R Soc Interface       Date:  2017-05       Impact factor: 4.118

9.  Mechanobiological Stability of Biological Soft Tissues.

Authors:  Marcos Latorre; Jay D Humphrey
Journal:  J Mech Phys Solids       Date:  2018-12-21       Impact factor: 5.471

10.  Parameter sensitivity study of a constrained mixture model of arterial growth and remodeling.

Authors:  A Valentín; J D Humphrey
Journal:  J Biomech Eng       Date:  2009-10       Impact factor: 2.097

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