Literature DB >> 24882735

Mineralizing surface is the main target of mechanical stimulation independent of age: 3D dynamic in vivo morphometry.

Annette I Birkhold1, Hajar Razi2, Georg N Duda3, Richard Weinkamer4, Sara Checa5, Bettina M Willie6.   

Abstract

Mechanical loading can increase cortical bone mass by shifting the balance between bone formation and resorption towards increased formation. With advancing age resorption outpaces formation resulting in a net loss in cortical bone mass. How cortical bone (re)modeling - especially resorption - responds to mechanical loading with aging remains unclear. In this study, we investigated age-related changes in the modulation of cortical bone formation and resorption sites by mechanical loading. Using in vivo microCT we determined the kinetics of three dimensional formation and resorption parameters. To analyze age-associated adaptation, the left tibiae of young, adult and elderly female C57BL/6 mice were cyclically loaded for 2weeks. Our data showed that in the nonloaded limbs, cortical bone loss with age is the result of an imbalance of resorption to formation thickness, while the surface of resorption is comparable to formation. Loading has a much stronger effect on formation than on resorption; more specifically this effect is due to an increase in formation surface with mechanical stimulation. This is the only effect of loading which is conserved into old age. The resorption thickness is independent of loading in all age groups. Using this novel image analysis technique, we were able for the first time to quantify age-related changes in cortical (re)modeling and the adaptive capacity to mechanics. Most likely a therapy against age-related bone loss combining physical exercise and pharmaceuticals is most efficient if they each act on different parameters of the (re)modeling process. Despite some differences in skeletal aging between mice and humans, our results would suggest that physical exercise in old individuals can positively influence only the formation side of (re) modeling.
Copyright © 2014 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  3D dynamic in vivo bone morphometry; Adaptation; Aging; Bone (re)modeling; Cortical bone; Mechanical loading

Mesh:

Year:  2014        PMID: 24882735     DOI: 10.1016/j.bone.2014.05.013

Source DB:  PubMed          Journal:  Bone        ISSN: 1873-2763            Impact factor:   4.398


  31 in total

Review 1.  Bone Homeostasis and Repair: Forced Into Shape.

Authors:  Alesha B Castillo; Philipp Leucht
Journal:  Curr Rheumatol Rep       Date:  2015-09       Impact factor: 4.592

2.  The effects of different intensities of exercise and active vitamin D on mouse bone mass and bone strength.

Authors:  Lingli Zhang; Xi Chen; Juanni Wu; Yu Yuan; Jianmin Guo; Soma Biswas; Baojie Li; Jun Zou
Journal:  J Bone Miner Metab       Date:  2016-06-29       Impact factor: 2.626

3.  Mechanical regulation of bone formation and resorption around implants in a mouse model of osteopenic bone.

Authors:  Zihui Li; Duncan Betts; Gisela Kuhn; Michael Schirmer; Ralph Müller; Davide Ruffoni
Journal:  J R Soc Interface       Date:  2019-03-29       Impact factor: 4.118

4.  Reproducibility and Radiation Effect of High-Resolution In Vivo Micro Computed Tomography Imaging of the Mouse Lumbar Vertebra and Long Bone.

Authors:  Hongbo Zhao; Chih-Chiang Chang; Yang Liu; Youwen Yang; Wei-Ju Tseng; Chantal M de Bakker; Rebecca Chung; Priyanka Ghosh; Linhong Deng; X Sherry Liu
Journal:  Ann Biomed Eng       Date:  2019-07-29       Impact factor: 3.934

5.  Time course of peri-implant bone regeneration around loaded and unloaded implants in a rat model.

Authors:  Shailly H Jariwala; Hwabok Wee; Evan P Roush; Tiffany L Whitcomb; Christopher Murter; Gery Kozlansky; Akhlesh Lakhtakia; Allen R Kunselman; Henry J Donahue; April D Armstrong; Gregory S Lewis
Journal:  J Orthop Res       Date:  2016-07-20       Impact factor: 3.494

6.  Non-invasive prediction of the mouse tibia mechanical properties from microCT images: comparison between different finite element models.

Authors:  S Oliviero; M Roberts; R Owen; G C Reilly; I Bellantuono; E Dall'Ara
Journal:  Biomech Model Mechanobiol       Date:  2021-02-01

7.  Structural and Mechanical Improvements to Bone Are Strain Dependent with Axial Compression of the Tibia in Female C57BL/6 Mice.

Authors:  Alycia G Berman; Creasy A Clauser; Caitlin Wunderlin; Max A Hammond; Joseph M Wallace
Journal:  PLoS One       Date:  2015-06-26       Impact factor: 3.240

8.  Effect of in vivo loading on bone composition varies with animal age.

Authors:  Marta Aido; Michael Kerschnitzki; Rebecca Hoerth; Sara Checa; Lyudmila Spevak; Adele L Boskey; Peter Fratzl; Georg N Duda; Wolfgang Wagermaier; Bettina M Willie
Journal:  Exp Gerontol       Date:  2015-01-30       Impact factor: 4.032

9.  Real-time finite element analysis allows homogenization of tissue scale strains and reduces variance in a mouse defect healing model.

Authors:  Graeme R Paul; Esther Wehrle; Duncan C Tourolle; Gisela A Kuhn; Ralph Müller
Journal:  Sci Rep       Date:  2021-06-29       Impact factor: 4.379

Review 10.  Murine Axial Compression Tibial Loading Model to Study Bone Mechanobiology: Implementing the Model and Reporting Results.

Authors:  Russell P Main; Sandra J Shefelbine; Lee B Meakin; Matthew J Silva; Marjolein C H van der Meulen; Bettina M Willie
Journal:  J Orthop Res       Date:  2019-10-23       Impact factor: 3.102

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