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A numerical framework for mechano-regulated tendon healing-Simulation of early regeneration of the Achilles tendon.
Notermans, Thomas; Tanska, Petri; Korhonen, Rami K; Khayyeri, Hanifeh; Isaksson, Hanna.
Affiliation
  • Notermans T; Department of Biomedical Engineering, Lund University, Lund, Sweden.
  • Tanska P; Department of Applied Physics, University of Eastern Finland, Kuopio, Finland.
  • Korhonen RK; Department of Applied Physics, University of Eastern Finland, Kuopio, Finland.
  • Khayyeri H; Department of Biomedical Engineering, Lund University, Lund, Sweden.
  • Isaksson H; Department of Biomedical Engineering, Lund University, Lund, Sweden.
PLoS Comput Biol ; 17(2): e1008636, 2021 02.
Article in En | MEDLINE | ID: mdl-33556080
Mechano-regulation during tendon healing, i.e. the relationship between mechanical stimuli and cellular response, has received more attention recently. However, the basic mechanobiological mechanisms governing tendon healing after a rupture are still not well-understood. Literature has reported spatial and temporal variations in the healing of ruptured tendon tissue. In this study, we explored a computational modeling approach to describe tendon healing. In particular, a novel 3D mechano-regulatory framework was developed to investigate spatio-temporal evolution of collagen content and orientation, and temporal evolution of tendon stiffness during early tendon healing. Based on an extensive literature search, two possible relationships were proposed to connect levels of mechanical stimuli to collagen production. Since literature remains unclear on strain-dependent collagen production at high levels of strain, the two investigated production laws explored the presence or absence of collagen production upon non-physiologically high levels of strain (>15%). Implementation in a finite element framework, pointed to large spatial variations in strain magnitudes within the callus tissue, which resulted in predictions of distinct spatial distributions of collagen over time. The simulations showed that the magnitude of strain was highest in the tendon core along the central axis, and decreased towards the outer periphery. Consequently, decreased levels of collagen production for high levels of tensile strain were shown to accurately predict the experimentally observed delayed collagen production in the tendon core. In addition, our healing framework predicted evolution of collagen orientation towards alignment with the tendon axis and the overall predicted tendon stiffness agreed well with experimental data. In this study, we explored the capability of a numerical model to describe spatial and temporal variations in tendon healing and we identified that understanding mechano-regulated collagen production can play a key role in explaining heterogeneities observed during tendon healing.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Regeneration / Achilles Tendon / Tendon Injuries Type of study: Prognostic_studies Limits: Animals Language: En Journal: PLoS Comput Biol Journal subject: BIOLOGIA / INFORMATICA MEDICA Year: 2021 Type: Article Affiliation country: Sweden

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Regeneration / Achilles Tendon / Tendon Injuries Type of study: Prognostic_studies Limits: Animals Language: En Journal: PLoS Comput Biol Journal subject: BIOLOGIA / INFORMATICA MEDICA Year: 2021 Type: Article Affiliation country: Sweden