Muscle contraction at the macrolevel is a physiological process that is ultimately due to the interaction between myosin and actin proteins at the microlevel. The actin–myosin interaction involves slow attachment and detachment responses and a rapid temporal change in protein conformation called power-stroke. Jump-diffusion models that combine jump processes between attachment and detachment with a mechanical description of the power-stroke have been proposed in the literature. However, the current formulations of these models are not fully compatible with the principles of thermodynamics. To solve the problem of coupling continuous mechanisms with discrete chemical transitions, we rely on the mathematical formalism of Poisson random measures. First, we design an efficient stochastic formulation for existing muscle contraction partial differential equation models. Then, we write a new jump-diffusion model for actin–myosin interaction. This new model describes both the behavior of muscle contraction on multiple time scales and its compatibility with thermodynamic principles. Finally, following a classical calibration procedure, we demonstrate the ability of the model to reproduce experimental data characterizing muscle behavior on fast and slow time scales.
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21 November 2023
Research Article|
November 15 2023
A jump-diffusion stochastic formalism for muscle contraction models at multiple timescales Available to Purchase
Special Collection:
Multiscale Modeling and Analysis in Biophysics
L.-P. Chaintron
;
L.-P. Chaintron
a)
(Conceptualization, Formal analysis, Methodology, Writing – original draft, Writing – review & editing)
1
DMA, École normale supérieure, Université PSL, CNRS
, 75005 Paris, France
2
Inria, Team MΞDISIM, Inria Saclay
, 91128 Palaiseau, France
3
LMS—École polytechnique, CNRS—Institut Polytechnique de Paris
, 91128 Palaiseau, France
4
CERMICS, École des ponts
, 77420 Champs-sur-Marne, France
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F. Kimmig
;
F. Kimmig
b)
(Methodology, Software, Validation, Visualization, Writing – original draft, Writing – review & editing)
2
Inria, Team MΞDISIM, Inria Saclay
, 91128 Palaiseau, France
3
LMS—École polytechnique, CNRS—Institut Polytechnique de Paris
, 91128 Palaiseau, France
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M. Caruel
;
M. Caruel
c)
(Methodology, Visualization, Writing – original draft, Writing – review & editing)
5
Univ Paris Est Creteil, Univ Gustave Eiffel, CNRS, UMR 8208, MSME
, 94010 Créteil, France
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P. Moireau
P. Moireau
d)
(Methodology, Project administration, Supervision, Writing – original draft, Writing – review & editing)
2
Inria, Team MΞDISIM, Inria Saclay
, 91128 Palaiseau, France
3
LMS—École polytechnique, CNRS—Institut Polytechnique de Paris
, 91128 Palaiseau, France
d)Author to whom correspondence should be addressed: [email protected]
Search for other works by this author on:
L.-P. Chaintron
1,2,3,4,a)
F. Kimmig
2,3,b)
M. Caruel
5,c)
P. Moireau
2,3,d)
1
DMA, École normale supérieure, Université PSL, CNRS
, 75005 Paris, France
2
Inria, Team MΞDISIM, Inria Saclay
, 91128 Palaiseau, France
3
LMS—École polytechnique, CNRS—Institut Polytechnique de Paris
, 91128 Palaiseau, France
4
CERMICS, École des ponts
, 77420 Champs-sur-Marne, France
5
Univ Paris Est Creteil, Univ Gustave Eiffel, CNRS, UMR 8208, MSME
, 94010 Créteil, France
d)Author to whom correspondence should be addressed: [email protected]
a)
Electronic mail: [email protected]
b)
Electronic mail: [email protected]
c)
Electronic mail: [email protected]
J. Appl. Phys. 134, 194901 (2023)
Article history
Received:
May 15 2023
Accepted:
October 25 2023
Citation
L.-P. Chaintron, F. Kimmig, M. Caruel, P. Moireau; A jump-diffusion stochastic formalism for muscle contraction models at multiple timescales. J. Appl. Phys. 21 November 2023; 134 (19): 194901. https://doi.org/10.1063/5.0158191
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