Literature DB >> 17567548

Intratrabecular distribution of tissue stiffness and mineralization in developing trabecular bone.

Lars Mulder1, Jan Harm Koolstra, Jaap M J den Toonder, Theo M G J van Eijden.   

Abstract

The purpose of this study was to investigate the relation between bone tissue stiffness and degree of mineralization distribution and to examine possible changes during prenatal development. Understanding this may provide insight into adaptation processes and into deformation mechanisms of the bone microstructure. Mandibular condyles from four fetal and newborn pigs were used. Tissue stiffness was measured using nanoindentation, the degree of mineralization with microCT. Eight indents were made over the trabecular width of 15 trabeculae in each specimen, leading to a total of 960 indents. Subsequently, the degree of mineralization of these locations was determined. Intratrabecular variations in bone tissue stiffness and degree of mineralization showed a similar pattern; low at trabecular surfaces and higher in the cores. A strong correlation was found between the two variables, which remained unchanged during development. It was concluded that bone tissue in fetal and newborn trabecular cores resembles adult trabecular bone tissue properties and is distributed in a regular radial pattern in trabeculae. For the first time, it was shown that the intratrabecular tissue stiffness develops along the same path as the degree of mineralization. Knowledge regarding intratrabecular tissue stiffness and mineralization results in a better understanding of trabecular bone mechanical behavior on a structural and tissue level.

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Year:  2007        PMID: 17567548     DOI: 10.1016/j.bone.2007.04.188

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


  25 in total

1.  Battery-powered bone drill: caution needed in densely blastic lesions.

Authors:  Connie Y Chang; F Joseph Simeone; Ambrose J Huang
Journal:  Skeletal Radiol       Date:  2015-08-28       Impact factor: 2.199

2.  Predicting mouse vertebra strength with micro-computed tomography-derived finite element analysis.

Authors:  Jeffry S Nyman; Sasidhar Uppuganti; Alexander J Makowski; Barbara J Rowland; Alyssa R Merkel; Julie A Sterling; Todd L Bredbenner; Daniel S Perrien
Journal:  Bonekey Rep       Date:  2015-04-22

3.  Fatigue-induced microdamage in cancellous bone occurs distant from resorption cavities and trabecular surfaces.

Authors:  M G Goff; F M Lambers; T M Nguyen; J Sung; C M Rimnac; C J Hernandez
Journal:  Bone       Date:  2015-05-22       Impact factor: 4.398

4.  The correlation between mineralization degree and bone tissue stiffness in the porcine mandibular condyle.

Authors:  Nop M B K Willems; Lars Mulder; Jaap M J den Toonder; Andrej Zentner; Geerling E J Langenbach
Journal:  J Bone Miner Metab       Date:  2013-04-28       Impact factor: 2.626

5.  Reduction of Radiation Dose and Scanning Time While Preserving Diagnostic Yield: A Comparison of Battery-Powered and Manual Bone Biopsy Systems.

Authors:  S Kihira; C Koo; A Lee; A Aggarwal; P Pawha; A Doshi
Journal:  AJNR Am J Neuroradiol       Date:  2020-02-06       Impact factor: 3.825

6.  Viscoelastic properties of human cortical bone tissue depend on gender and elastic modulus.

Authors:  Ziheng Wu; Timothy C Ovaert; Glen L Niebur
Journal:  J Orthop Res       Date:  2011-11-02       Impact factor: 3.494

7.  CT-guided percutaneous biopsy of sclerotic bone lesions: diagnostic outcomes.

Authors:  I-Yuan Joseph Chang; Hakan Ilaslan; Murali Sundaram; Jean Schils; Naveen Subhas
Journal:  Skeletal Radiol       Date:  2017-12-07       Impact factor: 2.199

8.  Regional variation of bone tissue properties at the human mandibular condyle.

Authors:  Do-Gyoon Kim; Yong-Hoon Jeong; Erin Kosel; Amanda M Agnew; David W McComb; Kyle Bodnyk; Richard T Hart; Min Kyung Kim; Sang Yeun Han; William M Johnston
Journal:  Bone       Date:  2015-04-22       Impact factor: 4.398

9.  Regional variations of jaw bone characteristics in an ovariectomized rat model.

Authors:  Keiichiro Watanabe; Samantha Lewis; Xiaohan Guo; Ai Ni; Beth S Lee; Toru Deguchi; Do-Gyoon Kim
Journal:  J Mech Behav Biomed Mater       Date:  2020-06-29

10.  Specimen size and porosity can introduce error into microCT-based tissue mineral density measurements.

Authors:  Roberto J Fajardo; Esther Cory; Nipun D Patel; Ara Nazarian; Andres Laib; Rajaram K Manoharan; James E Schmitz; Jeremy M DeSilva; Laura M MacLatchy; Brian D Snyder; Mary L Bouxsein
Journal:  Bone       Date:  2008-09-10       Impact factor: 4.398

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