Quantifying the local strain energy density distribution in the mouse tibia: the critical role of the loading direction.
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| Titel: | Quantifying the local strain energy density distribution in the mouse tibia: the critical role of the loading direction. |
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| Autoren: | Farage-O'Reilly SM; Insigneo Institute, University of Sheffield, Sheffield, UK.; Healthy Lifespan Institute, University of Sheffield, Sheffield, UK.; School of Medicine and Population Health, University of Sheffield, Sheffield, UK., Cheong VS; Insigneo Institute, University of Sheffield, Sheffield, UK.; School of Mechanical, Aerospace and Civil Engineering, University of Sheffield, Sheffield, UK., Pivonka P; School of Mechanical, Medical and Process Engineering, Queensland University of Technology, Brisbane, QLD, Australia.; Centre for Biomedical Technologies, Queensland University of Technology, Brisbane, QLD, Australia., Kadirkamanathan V; Insigneo Institute, University of Sheffield, Sheffield, UK.; School of Electrical and Electronic Engineering, University of Sheffield, Sheffield, UK., Dall'Ara E; Insigneo Institute, University of Sheffield, Sheffield, UK. e.dallara@sheffield.ac.uk.; Healthy Lifespan Institute, University of Sheffield, Sheffield, UK. e.dallara@sheffield.ac.uk.; School of Medicine and Population Health, University of Sheffield, Sheffield, UK. e.dallara@sheffield.ac.uk. |
| Quelle: | Biomechanics and modeling in mechanobiology [Biomech Model Mechanobiol] 2025 Dec; Vol. 24 (6), pp. 2153-2169. Date of Electronic Publication: 2025 Sep 03. |
| Publikationsart: | Journal Article |
| Sprache: | English |
| Info zur Zeitschrift: | Publisher: Springer Country of Publication: Germany NLM ID: 101135325 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1617-7940 (Electronic) Linking ISSN: 16177940 NLM ISO Abbreviation: Biomech Model Mechanobiol Subsets: MEDLINE |
| Imprint Name(s): | Original Publication: Berlin ; New York : Springer, c2002- |
| MeSH-Schlagworte: | Tibia*/physiology , Tibia*/diagnostic imaging , Stress, Mechanical*, Animals ; X-Ray Microtomography ; Finite Element Analysis ; Weight-Bearing/physiology ; Female ; Mice ; Biomechanical Phenomena ; Mice, Inbred C57BL |
| Abstract: | Competing Interests: Declarations. Conflict of interest: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. Ethical approval: The animal study was approved by Research Ethics Committee of the University of Sheffield. The study was conducted in accordance with the local legislation and institutional requirements. Understanding how bone adapts to external forces is fundamental for exploring potential biomechanical interventions against skeletal diseases. This can be studied preclinically, combining in vivo experiments in rodents and in silico mechanoregulation models. While the in vivo tibial loading model is widely used to study bone adaptation, the common assumption of purely axial loading may be a simplification. This study quantifies the effect of the loading direction on the strain energy density (SED) distribution in the mouse tibia, a commonly used input for mechanoregulated bone remodelling models. To achieve this, validated micro-finite element (micro-FE) models were used to test the differences in local SED when the bone was loaded along different loading directions. In vivo micro-computed tomography (micro-CT) images were acquired from the tibiae of eleven ovariectomised mice at 18 weeks old before intervention and at 20 weeks old, after six mice underwent external mechanical loading. Micro-CT-based micro-FE models were generated for each tibia at both time points and loaded with a unit load in each Cartesian direction independently. The results from these unit load models were linearly combined to simulate various loading directions, defined by angles θ (inferior-superior) and ϕ (anterior-posterior). The results revealed a high sensitivity of the mouse tibia to the loading direction across both groups and time points. Several loading directions (e.g., θ = 10°, ϕ = 205-210°) resulted in lower medians of the top 5% SED values compared to those obtained for the nominal axial case (θ = 0°, ϕ = 0°). Conversely, higher values were observed for other directions (e.g., θ = 30°, ϕ = 35-50°). These findings emphasise the importance of considering the loading direction in experimental and computational bone adaptation studies. (© 2025. The Author(s).) |
| References: | J Bone Miner Res. 2005 Jul;20(7):1085-92. (PMID: 15940361) J Biomech. 2017 Dec 8;65:203-211. (PMID: 29126603) Front Bioeng Biotechnol. 2024 Oct 22;12:1469272. (PMID: 39502499) J R Soc Interface. 2015 Sep 6;12(110):0590. (PMID: 26311315) J Orthop Res. 2020 Feb;38(2):233-252. (PMID: 31508836) Bone. 2005 Dec;37(6):810-8. (PMID: 16198164) Acta Biomater. 2020 Oct 15;116:302-317. (PMID: 32911105) Front Bioeng Biotechnol. 2024 Feb 06;12:1335955. (PMID: 38380263) J Biomech. 2014 Sep 22;47(12):3156-61. (PMID: 25001204) J Mech Behav Biomed Mater. 2017 Nov;75:244-251. (PMID: 28756285) Front Bioeng Biotechnol. 2021 Jun 11;9:676867. (PMID: 34178966) Sci Adv. 2020 Mar 06;6(10):eaax8301. (PMID: 32181340) J Bone Miner Res. 2010 Jul;25(7):1468-86. (PMID: 20533309) Ann N Y Acad Sci. 2006 Dec;1092:385-96. (PMID: 17308163) Bone. 2013 Jan;52(1):485-92. (PMID: 22985889) Sci Rep. 2020 Jun 1;10(1):8889. (PMID: 32483372) J Bone Miner Res. 2012 Aug;27(8):1784-93. (PMID: 22431329) Anat Rec A Discov Mol Cell Evol Biol. 2003 Dec;275(2):1081-101. (PMID: 14613308) Acta Biomater. 2021 Dec;136:291-305. (PMID: 34563722) PLoS One. 2019 Nov 21;14(11):e0225127. (PMID: 31751367) Sci Rep. 2016 Mar 23;6:23480. (PMID: 27004741) Bone Rep. 2018 Jun;8:72-80. (PMID: 29904646) Front Endocrinol (Lausanne). 2022 Jun 30;13:915938. (PMID: 35846342) Calcif Tissue Int. 2014 Mar;94(3):282-92. (PMID: 24170302) Mech Ageing Dev. 2016 Dec;160:93-116. (PMID: 27530773) J Bone Miner Res. 1989 Oct;4(5):783-8. (PMID: 2816520) J Biomech. 2010 Oct 19;43(14):2765-70. (PMID: 20674920) J Orthop Res. 1986;4(3):304-17. (PMID: 3734938) Clin Biomech (Bristol). 2014 Apr;29(4):355-62. (PMID: 24467970) J Mech Behav Biomed Mater. 2018 Oct;86:172-184. (PMID: 29986291) Med Eng Phys. 2018 Dec;62:7-16. (PMID: 30243888) J Bone Miner Res. 2008 Dec;23(12):2048-59. (PMID: 18684086) J Biomech. 2021 Jan 22;115:110140. (PMID: 33348259) Bone. 2019 Oct;127:260-270. (PMID: 31254730) J Biomech. 2016 Jul 5;49(10):2095-2099. (PMID: 27262181) Bone. 2014 Sep;66:131-9. (PMID: 24925445) Bone. 2014 Aug;65:83-91. (PMID: 24836737) Biomech Model Mechanobiol. 2021 Jun;20(3):941-955. (PMID: 33523337) Biomech Model Mechanobiol. 2020 Jun;19(3):985-1001. (PMID: 31786678) J Mech Behav Biomed Mater. 2021 Jan;113:104190. (PMID: 33191174) J Musculoskelet Neuronal Interact. 2023 Jun 1;23(2):236-262. (PMID: 37259664) J Bone Miner Res. 2003 May;18(5):807-17. (PMID: 12733719) Front Endocrinol (Lausanne). 2014 Oct 01;5:154. (PMID: 25324829) Methods Mol Biol. 2019;1914:507-531. (PMID: 30729484) |
| Grant Information: | X/013991-12 Engineering and Physical Sciences Research Council; EP/K03877X/1 and EP/S032940/1 Engineering and Physical Sciences Research Council; NC/R001073/1 United Kingdom NC3RS_ National Centre for the Replacement, Refinement and Reduction of Animals in Research |
| Contributed Indexing: | Keywords: Loading direction; Mechanical loading; Micro-CT; Micro-FE; Mouse tibia; Strain distribution |
| Entry Date(s): | Date Created: 20250903 Date Completed: 20251115 Latest Revision: 20251117 |
| Update Code: | 20251117 |
| PubMed Central ID: | PMC12618303 |
| DOI: | 10.1007/s10237-025-02011-z |
| PMID: | 40900216 |
| Datenbank: | MEDLINE |
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Nájsť tento článok vo Web of Science | Abstract: | Competing Interests: Declarations. Conflict of interest: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. Ethical approval: The animal study was approved by Research Ethics Committee of the University of Sheffield. The study was conducted in accordance with the local legislation and institutional requirements.<br />Understanding how bone adapts to external forces is fundamental for exploring potential biomechanical interventions against skeletal diseases. This can be studied preclinically, combining in vivo experiments in rodents and in silico mechanoregulation models. While the in vivo tibial loading model is widely used to study bone adaptation, the common assumption of purely axial loading may be a simplification. This study quantifies the effect of the loading direction on the strain energy density (SED) distribution in the mouse tibia, a commonly used input for mechanoregulated bone remodelling models. To achieve this, validated micro-finite element (micro-FE) models were used to test the differences in local SED when the bone was loaded along different loading directions. In vivo micro-computed tomography (micro-CT) images were acquired from the tibiae of eleven ovariectomised mice at 18 weeks old before intervention and at 20 weeks old, after six mice underwent external mechanical loading. Micro-CT-based micro-FE models were generated for each tibia at both time points and loaded with a unit load in each Cartesian direction independently. The results from these unit load models were linearly combined to simulate various loading directions, defined by angles θ (inferior-superior) and ϕ (anterior-posterior). The results revealed a high sensitivity of the mouse tibia to the loading direction across both groups and time points. Several loading directions (e.g., θ = 10°, ϕ = 205-210°) resulted in lower medians of the top 5% SED values compared to those obtained for the nominal axial case (θ = 0°, ϕ = 0°). Conversely, higher values were observed for other directions (e.g., θ = 30°, ϕ = 35-50°). These findings emphasise the importance of considering the loading direction in experimental and computational bone adaptation studies.<br /> (© 2025. The Author(s).) |
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| ISSN: | 1617-7940 |
| DOI: | 10.1007/s10237-025-02011-z |