Title of article :
Modeling the dispersion effects of contractile fibers in smooth muscles
Author/Authors :
Murtada، نويسنده , , Sae-Il and Kroon، نويسنده , , Martin and Holzapfel، نويسنده , , Gerhard A.، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2010
Abstract :
Micro-structurally based models for smooth muscle contraction are crucial for a better understanding of pathological conditions such as atherosclerosis, incontinence and asthma. It is meaningful that models consider the underlying mechanical structure and the biochemical activation. Hence, a simple mechanochemical model is proposed that includes the dispersion of the orientation of smooth muscle myofilaments and that is capable to capture available experimental data on smooth muscle contraction. This allows a refined study of the effects of myofilament dispersion on the smooth muscle contraction. A classical biochemical model is used to describe the cross-bridge interactions with the thin filament in smooth muscles in which calcium-dependent myosin phosphorylation is the only regulatory mechanism. A novel mechanical model considers the dispersion of the contractile fiber orientations in smooth muscle cells by means of a strain-energy function in terms of one dispersion parameter. All model parameters have a biophysical meaning and may be estimated through comparisons with experimental data. The contraction of the middle layer of a carotid artery is studied numerically. Using a tube the relationships between the internal pressure and the stretches are investigated as functions of the dispersion parameter, which implies a strong influence of the orientation of smooth muscle myofilaments on the contraction response. It is straightforward to implement this model in a finite element code to better analyze more complex boundary-value problems.
Keywords :
Calcium , dispersion , Artery , Biomechanics , Smooth muscle contraction
Journal title :
Journal of the Mechanics and Physics of Solids
Journal title :
Journal of the Mechanics and Physics of Solids