000106638 001__ 106638
000106638 005__ 20210902121822.0
000106638 0247_ $$2doi$$a10.1007/s00466-020-01882-6
000106638 0248_ $$2sideral$$a119946
000106638 037__ $$aART-2020-119946
000106638 041__ $$aeng
000106638 100__ $$0(orcid)0000-0001-6727-563X$$aUrdeitx, P.$$uUniversidad de Zaragoza
000106638 245__ $$aMechanical stimulation of cell microenvironment for cardiac muscle tissue regeneration: a 3D in-silico model
000106638 260__ $$c2020
000106638 5060_ $$aAccess copy available to the general public$$fUnrestricted
000106638 5203_ $$aThe processes in which cardiac cells are reorganized for tissue regeneration is still unclear. It is a complicated process that is orchestrated by many factors such as mechanical, chemical, thermal, and/or electrical cues. Studying and optimizing these conditions in-vitro is complicated and time costly. In such cases, in-silico numerical simulations can offer a reliable solution to predict and optimize the considered conditions for the cell culture process. For this aim, a 3D novel and enhanced numerical model has been developed to study the effect of the mechanical properties of the extracellular matrix (ECM) as well as the applied external forces in the process of the cell differentiation and proliferation for cardiac muscle tissue regeneration. The model has into account the essential cellular processes such as migration, cell–cell interaction, cell–ECM interaction, differentiation, proliferation and/or apoptosis. It has employed to study the initial stages of cardiac muscle tissue formation within a wide range of ECM stiffness (8–50 kPa). The results show that, after cell culture within a free surface ECM, cells tend to form elongated aggregations in the ECM center. The formation rate, as well as the aggregation morphology, have been found to be a function of the ECM stiffness and the applied external force. Besides, it has been found that the optimum ECM stiffness for cardiovascular tissue regeneration is in the range of 29–39 kPa, combined with the application of a mechanical stimulus equivalent to deformations of 20–25%.
000106638 536__ $$9info:eu-repo/grantAgreement/ES/DGA-FSE/T24-20R$$9info:eu-repo/grantAgreement/ES/MICINN/PID2019-106099RB-C44
000106638 540__ $$9info:eu-repo/semantics/openAccess$$aAll rights reserved$$uhttp://www.europeana.eu/rights/rr-f/
000106638 590__ $$a4.014$$b2020
000106638 591__ $$aMATHEMATICS, INTERDISCIPLINARY APPLICATIONS$$b14 / 108 = 0.13$$c2020$$dQ1$$eT1
000106638 591__ $$aMECHANICS$$b30 / 135 = 0.222$$c2020$$dQ1$$eT1
000106638 592__ $$a1.461$$b2020
000106638 593__ $$aApplied Mathematics$$c2020$$dQ1
000106638 593__ $$aComputational Mathematics$$c2020$$dQ1
000106638 593__ $$aOcean Engineering$$c2020$$dQ1
000106638 593__ $$aComputational Theory and Mathematics$$c2020$$dQ1
000106638 593__ $$aMechanical Engineering$$c2020$$dQ1
000106638 593__ $$aComputational Mechanics$$c2020$$dQ1
000106638 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion
000106638 700__ $$0(orcid)0000-0003-0088-7222$$aDoweidar, M.H.$$uUniversidad de Zaragoza
000106638 7102_ $$15004$$2605$$aUniversidad de Zaragoza$$bDpto. Ingeniería Mecánica$$cÁrea Mec.Med.Cont. y Teor.Est.
000106638 773__ $$g66 (2020), 1003 – 1023$$pComput. mech.$$tCOMPUTATIONAL MECHANICS$$x0178-7675
000106638 8564_ $$s15262129$$uhttps://zaguan.unizar.es/record/106638/files/texto_completo.pdf$$yPostprint
000106638 8564_ $$s2387385$$uhttps://zaguan.unizar.es/record/106638/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint
000106638 909CO $$ooai:zaguan.unizar.es:106638$$particulos$$pdriver
000106638 951__ $$a2021-09-02-10:09:15
000106638 980__ $$aARTICLE