97322 20210930085405.0 doi 10.1016/j.bone.2020.115769 sideral 121357 ART-2020-121357 eng Nasello, Gabriele Universidad de Zaragoza (orcid)0000-0002-0255-6200 Mechano-driven regeneration predicts response variations in large animal model based on scaffold implantation site and individual mechano-sensitivity 2020 Access copy available to the general public Unrestricted It is well founded that the mechanical environment may regulate bone regeneration in orthopedic applications. The purpose of this study is to investigate the mechanical contributions of the scaffold and the host to bone regeneration, in terms of subject specificity, implantation site and sensitivity to the mechanical environment. Using a computational approach to model mechano-driven regeneration, bone ingrowth in porous titanium scaffolds was simulated in the distal femur and proximal tibia of three goats and compared to experimental results. The results showed that bone ingrowth shifted from a homogeneous distribution pattern, when scaffolds were in contact with trabecular bone (max local ingrowth 12.47%), to a localized bone ingrowth when scaffolds were implanted in a diaphyseal location (max local ingrowth 20.64%). The bone formation dynamics revealed an apposition rate of 0.37±0.28%/day in the first three weeks after implantation, followed by limited increase in bone ingrowth until the end of the experiment (12 weeks). According to in vivo data, we identified one animal whose sensitivity to mechanical stimulation was higher than the other two. Moreover, we found that the stimulus initiating bone formation was consistently higher in the femur than in the tibia for all the individuals. Overall, the dependence of the osteogenic response on the host biomechanics means that, from a mechanical perspective, the regenerative potential depends on both the scaffold and the host environment. Therefore, this work provides insights on how the mechanical conditions of both the recipient and the scaffold contribute to meet patient and location-specific characteristics. info:eu-repo/grantAgreement/EC/H2020/722535/EU/Predictive models and simulations in bone regeneration: a multiscale patient-specific approach/CuraBone This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 722535-CuraBone info:eu-repo/semantics/openAccess by-nc-nd http://creativecommons.org/licenses/by-nc-nd/3.0/es/ 4.398 2020 ENDOCRINOLOGY & METABOLISM 54 / 145 = 0.372 2020 Q2 T2 1.346 2020 Endocrinology, Diabetes and Metabolism 2020 Q1 Physiology 2020 Q1 Histology 2020 Q1 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Vautrin, Antoine Pitocchi, Jonathan Wesseling, Mariska Kuiper, Jan Herman Pérez Ansón, María de los Ángeles Universidad de Zaragoza (orcid)0000-0002-2901-4188 García Aznar, José Manuel Universidad de Zaragoza (orcid)0000-0002-9864-7683 5004 605 Universidad de Zaragoza Dpto. Ingeniería Mecánica Área Mec.Med.Cont. y Teor.Est. 144 (2020), 115769 [13 pp.] Bone BONE 8756-3282 2018466 http://zaguan.unizar.es/record/97322/files/texto_completo.pdf Versión publicada 468998 http://zaguan.unizar.es/record/97322/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:97322 articulos driver 2021-09-30-08:27:33 ARTICLE