Mechano-driven regeneration predicts response variations in large animal model based on scaffold implantation site and individual mechano-sensitivity

Nasello, Gabriele (Universidad de Zaragoza) ; Vautrin, Antoine ; Pitocchi, Jonathan ; Wesseling, Mariska ; Kuiper, Jan Herman ; Pérez Ansón, María de los Ángeles (Universidad de Zaragoza) ; García Aznar, José Manuel (Universidad de Zaragoza)

Resumen: 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.

Idioma: Inglés

DOI: 10.1016/j.bone.2020.115769

Año: 2020

Publicado en: BONE 144 (2020), 115769 [13 pp.]
ISSN: 8756-3282

Factor impacto JCR: 4.398 (2020)

Categ. JCR: ENDOCRINOLOGY & METABOLISM rank: 54 / 145 = 0.372 (2020) - Q2 - T2

Factor impacto SCIMAGO: 1.346 - Endocrinology, Diabetes and Metabolism (Q1) - Physiology (Q1) - Histology (Q1)

Financiación: info:eu-repo/grantAgreement/EC/H2020/722535/EU/Predictive models and simulations in bone regeneration: a multiscale patient-specific approach/CuraBone

Tipo y forma: Article (Published version)

Área (Departamento): Área Mec.Med.Cont. y Teor.Est. (Dpto. Ingeniería Mecánica)