ArticleJournal of the Royal Society, Interface2015
Predicting cortical bone adaptation to axial loading in the mouse tibia.
Article in Journal of the Royal Society, Interface, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.
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Who cites it
40 citing papers in PubMed, 123 citations in OpenAlex.
- Multi-scale modelling of mouse tibia loading reveals the critical role of muscle insertion surfaces.Biomechanics and modeling in mechanobiology · 2026Article
- Quantifying the local strain energy density distribution in the mouse tibia: the critical role of the loading direction.Biomechanics and modeling in mechanobiology · 2025Article
- Establishing correlation between bone mineral apposition rate and physiological loading using machine learning regressor.Scientific reports · 2025Article
- Predicting cortical bone resorption in the mouse tibia under disuse conditions caused by transient muscle paralysis.Scientific reports · 2025Article
- Porcupine inhibition is a promising pharmacological treatment for severe sclerosteosis pathologies.Bone research · 2025Article
- Mechanobiological cues to bone cells during early metastasis drive later osteolysis: A computational mechanoregulation framework prediction.Mechanobiology in medicine · 2025Article
- Mechanical deformations of bone generate interstitial fluid flow at nanoscale velocities around osteocytes.Frontiers in bioengineering and biotechnology · 2025Article
- Assessment of submicron bone tissue composition in plastic-embedded samples using optical photothermal infrared (O-PTIR) spectral imaging and machine learning.Journal of structural biology: X · 2024Article
- Developing long bones respond to surrounding tissues by trans-pairing of periosteal osteoclasts and endocortical osteoblasts.Development (Cambridge, England) · 2024Article
- Cortical bone adaptation response is region specific, but not peak load dependent: insights fromBiomechanics and modeling in mechanobiology · 2024Article
- The loading direction dramatically affects the mechanical properties of the mouse tibia.Frontiers in bioengineering and biotechnology · 2024Article
- Derivation, validation, and prediction of loading-induced mineral apposition rates at endocortical and periosteal bone surfaces based on fluid velocity and pore pressure.Bone reports · 2023Article
- Improvement of the Surface Properties of Polyether Ether Ketone via Arc Evaporation for Biomedical Applications.Materials (Basel, Switzerland) · 2023Article
- Using Finite Element Modeling in Bone Mechanoadaptation.Current osteoporosis reports · 2023Review
- TheJBMR plus · 2023Article
- Mechanostat parameters estimated from time-lapsedFrontiers in bioengineering and biotechnology · 2023Article
- Non-invasive prediction of the mouse tibia mechanical properties from microCT images: comparison between different finite element models.Biomechanics and modeling in mechanobiology · 2021Article
- Article
- Estimation of load conditions and strain distribution for in vivo murine tibia compression loading using experimentally informed finite element models.Journal of biomechanics · 2021Article
- The Role of the Loading Condition in Predictions of Bone Adaptation in a Mouse Tibial Loading Model.Frontiers in bioengineering and biotechnology · 2021Article
Corrections and comments
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Authors and funding
4 authors at 3 institutions in 2 countries.
Funding
Abstract
The development of predictive mathematical models can contribute to a deeper understanding of the specific stages of bone mechanobiology and the process by which bone adapts to mechanical forces. The objective of this work was to predict, with spatial accuracy, cortical bone adaptation to mechanical load, in order to better understand the mechanical cues that might be driving adaptation. The axial tibial loading model was used to trigger cortical bone adaptation in C57BL/6 mice and provide relevant biological and biomechanical information. A method for mapping cortical thickness in the mouse tibia diaphysis was developed, allowing for a thorough spatial description of where bone adaptation occurs. Poroelastic finite-element (FE) models were used to determine the structural response of the tibia upon axial loading and interstitial fluid velocity as the mechanical stimulus. FE models were coupled with mechanobiological governing equations, which accounted for non-static loads and assumed that bone responds instantly to local mechanical cues in an on-off manner. The presented formulation was able to simulate the areas of adaptation and accurately reproduce the distributions of cortical thickening observed in the experimental data with a statistically significant positive correlation (Kendall's τ rank coefficient τ = 0.51, p < 0.001). This work demonstrates that computational models can spatially predict cortical bone mechanoadaptation to a time variant stimulus. Such models could be used in the design of more efficient loading protocols and drug therapies that target the relevant physiological mechanisms.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.