000084192 001__ 84192
000084192 005__ 20200729203742.0
000084192 0247_ $$2doi$$a10.1016/j.jtbi.2018.10.034
000084192 0248_ $$2sideral$$a108748
000084192 037__ $$aART-2019-108748
000084192 041__ $$aeng
000084192 100__ $$aKarami, M.
000084192 245__ $$aAssessing the role of Ca2+ in skeletal muscle fatigue using a multi-scale continuum model
000084192 260__ $$c2019
000084192 5060_ $$aAccess copy available to the general public$$fUnrestricted
000084192 5203_ $$aThe Calcium ion Ca2+ plays a critical role as an initiator and preserving agent of the cross-bridge cycle in the force generation of skeletal muscle. A new multi-scale chemo-mechanical model is presented in order to analyze the role of Ca2+ in muscle fatigue and to predict fatigue behavior. To this end, a cross-bridge kinematic model was incorporated in a continuum based mechanical model, considering a thermodynamic compatible framework. The contractile velocity and the generated active force were directly related to the force-bearing states that were considered for the cross-bridge cycle. In order to determine the values of the model parameters, the output results of an isometric simulation were initially fitted with experimental data obtained for rabbit Extensor Digitorum Longus muscle. Furthermore, a simulated force-velocity curve under concentric contractions was compared with reported experimental results. Finally, by varying the Ca2+ concentration level and its kinetics in the tissue, the model was able to predict the evolution of the active force of an experimental fatigue protocol. The good agreement observed between the simulated results and the experimental outcomes proves the ability of the model to reproduce the fatigue behavior and its applicability for more detailed multidisciplinary investigations related to chemical conditions in muscle performance.
000084192 536__ $$9info:eu-repo/grantAgreement/ES/DGA/T24-17R$$9info:eu-repo/grantAgreement/ES/MINECO/DPI2014-54981-R$$9info:eu-repo/grantAgreement/ES/MINECO/DPI2017-84047-R
000084192 540__ $$9info:eu-repo/semantics/openAccess$$aAll rights reserved$$uhttp://www.europeana.eu/rights/rr-f/
000084192 590__ $$a2.327$$b2019
000084192 592__ $$a0.568$$b2019
000084192 591__ $$aMATHEMATICAL & COMPUTATIONAL BIOLOGY$$b17 / 59 = 0.288$$c2019$$dQ2$$eT1
000084192 593__ $$aAgricultural and Biological Sciences (miscellaneous)$$c2019$$dQ1
000084192 591__ $$aBIOLOGY$$b39 / 93 = 0.419$$c2019$$dQ2$$eT2
000084192 593__ $$aApplied Mathematics$$c2019$$dQ2
000084192 593__ $$aBiochemistry, Genetics and Molecular Biology (miscellaneous)$$c2019$$dQ2
000084192 593__ $$aStatistics and Probability$$c2019$$dQ2
000084192 593__ $$aMedicine (miscellaneous)$$c2019$$dQ2
000084192 593__ $$aModeling and Simulation$$c2019$$dQ2
000084192 593__ $$aImmunology and Microbiology (miscellaneous)$$c2019$$dQ3
000084192 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion
000084192 700__ $$0(orcid)0000-0001-9713-1813$$aCalvo, B.$$uUniversidad de Zaragoza
000084192 700__ $$aZohoor, H.
000084192 700__ $$aFiroozbakhsh, K.
000084192 700__ $$0(orcid)0000-0002-6870-0594$$aGrasa, J.$$uUniversidad de Zaragoza
000084192 7102_ $$15004$$2605$$aUniversidad de Zaragoza$$bDpto. Ingeniería Mecánica$$cÁrea Mec.Med.Cont. y Teor.Est.
000084192 773__ $$g461 (2019), 76-83$$pJ. theor. biol.$$tJournal of Theoretical Biology$$x0022-5193
000084192 8564_ $$s748715$$uhttps://zaguan.unizar.es/record/84192/files/texto_completo.pdf$$yPostprint
000084192 8564_ $$s209048$$uhttps://zaguan.unizar.es/record/84192/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint
000084192 909CO $$ooai:zaguan.unizar.es:84192$$particulos$$pdriver
000084192 951__ $$a2020-07-29-20:20:18
000084192 980__ $$aARTICLE