000088323 001__ 88323
000088323 005__ 20210820090344.0
000088323 0247_ $$2doi$$a10.1007/978-3-030-15372-4_1
000088323 0248_ $$2sideral$$a111496
000088323 037__ $$aART-2019-111496
000088323 041__ $$aeng
000088323 100__ $$0(orcid)0000-0002-1878-8997$$aGómez-Benito, M.J.$$uUniversidad de Zaragoza
000088323 245__ $$aComputational modelling of wound healing insights to develop new treatments
000088323 260__ $$c2019
000088323 5060_ $$aAccess copy available to the general public$$fUnrestricted
000088323 5203_ $$aAbout 1% of the population will suffer a severe wound during their life. Thus, it is really important to develop new techniques in order to properly treat these injuries due to the high socioeconomically impact they suppose. Skin substitutes and pressure based therapies are currently the most promising techniques to heal these injuries. Nevertheless, we are still far from finding a definitive skin substitute for the treatment of all chronic wounds. As a first step in developing new tissue engineering tools and treatment techniques for wound healing, in silico models could help in understanding the mechanisms and factors implicated in wound healing. Here, we review mathematical models of wound healing. These models include different tissue and cell types involved in healing, as well as biochemical and mechanical factors which determine this process. Special attention is paid to the contraction mechanism of cells as an answer to the tissue mechanical state. Other cell processes such as differentiation and proliferation are also included in the models together with extracellular matrix production. The results obtained show the dependency of the success of wound healing on tissue composition and the importance of the different biomechanical and biochemical factors. This could help to individuate the adequate concentration of growth factors to accelerate healing and also the best mechanical properties of the new skin substitute depending on the wound location in the body and its size and shape. Thus, the feedback loop of computational models, experimental works and tissue engineering could help to identify the key features in the design of new treatments to heal severe wounds.
000088323 536__ $$9info:eu-repo/grantAgreement/EUR/FP7/ERC2012-StG-306751$$9info:eu-repo/grantAgreement/ES/MINECO-FEDER/DPI2012-32880
000088323 540__ $$9info:eu-repo/semantics/openAccess$$aAll rights reserved$$uhttp://www.europeana.eu/rights/rr-f/
000088323 592__ $$a0.21$$b2019
000088323 593__ $$aFluid Flow and Transfer Processes$$c2019$$dQ3
000088323 593__ $$aElectrical and Electronic Engineering$$c2019$$dQ3
000088323 593__ $$aComputational Mathematics$$c2019$$dQ3
000088323 593__ $$aCivil and Structural Engineering$$c2019$$dQ3
000088323 593__ $$aModeling and Simulation$$c2019$$dQ4
000088323 593__ $$aBiomedical Engineering$$c2019$$dQ4
000088323 593__ $$aComputer Science Applications$$c2019$$dQ4
000088323 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion
000088323 700__ $$0(orcid)0000-0003-0270-3925$$aValero, C.$$uUniversidad de Zaragoza
000088323 700__ $$0(orcid)0000-0002-9864-7683$$aGarcía-Aznar, J.M.$$uUniversidad de Zaragoza
000088323 700__ $$0(orcid)0000-0002-8117-1674$$aJavierre, E.
000088323 7102_ $$15002$$2515$$aUniversidad de Zaragoza$$bDpto. Ingeniería Diseño Fabri.$$cÁrea Ing. Procesos Fabricación
000088323 7102_ $$15004$$2605$$aUniversidad de Zaragoza$$bDpto. Ingeniería Mecánica$$cÁrea Mec.Med.Cont. y Teor.Est.
000088323 773__ $$g51 (2019), 1-19$$pComput. methods appl. sci.$$tComputational methods in applied sciences$$x1871-3033
000088323 8564_ $$s245317$$uhttps://zaguan.unizar.es/record/88323/files/texto_completo.pdf$$yPostprint
000088323 8564_ $$s17679$$uhttps://zaguan.unizar.es/record/88323/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint
000088323 909CO $$ooai:zaguan.unizar.es:88323$$particulos$$pdriver
000088323 951__ $$a2021-08-20-08:37:12
000088323 980__ $$aARTICLE