Literature DB >> 24698783

Quantitative trait loci that modulate trabecular bone's risk of failure during unloading and reloading.

Engin Ozcivici1, Weidong Zhang2, Leah Rae Donahue2, Stefan Judex3.   

Abstract

Genetic makeup of an individual is a strong determinant of the morphologic and mechanical properties of bone. Here, in an effort to identify quantitative trait loci (QTLs) for changes in the simulated mechanical parameters of trabecular bone during altered mechanical demand, we subjected 352 second generation female adult (16 weeks old) BALBxC3H mice to 3 weeks of hindlimb unloading followed by 3 weeks of reambulation. Longitudinal in vivo microcomputed tomography (μCT) scans tracked trabecular changes in the distal femur. Tomographies were directly translated into finite element (FE) models and subjected to a uniaxial compression test. Apparent trabecular stiffness and components of the Von Mises (VM) stress distributions were computed for the distal metaphysis and associated with QTLs. At baseline, five QTLs explained 20% of the variation in trabecular peak stresses across the mouse population. During unloading, three QTLs accounted for 14% of the variability in peak stresses. During reambulation, one QTL accounted for 5% of the variability in peak stresses. QTLs were also identified for mechanically induced changes in stiffness, median stress values and skewness of stress distributions. There was little overlap between QTLs identified for baseline and QTLs for longitudinal changes in mechanical properties, suggesting that distinct genes may be responsible for the mechanical response of trabecular bone. Unloading related QTLs were also different from reambulation related QTLs. Further, QTLs identified here for mechanical properties differed from previously identified QTLs for trabecular morphology, perhaps revealing novel gene targets for reducing fracture risk in individuals exposed to unloading and for maximizing the recovery of trabecular bone's mechanical properties during reambulation.
Copyright © 2014 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Finite element method; Genetic research; Mechanical Loading; QTL; Recovery; Stress

Mesh:

Year:  2014        PMID: 24698783     DOI: 10.1016/j.bone.2014.03.042

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


  4 in total

1.  Modulation of unloading-induced bone loss in mice with altered ERK signaling.

Authors:  Jeyantt S Sankaran; Bing Li; Leah Rae Donahue; Stefan Judex
Journal:  Mamm Genome       Date:  2015-11-06       Impact factor: 2.957

2.  Low magnitude high frequency vibrations expedite the osteogenesis of bone marrow stem cells on paper based 3D scaffolds.

Authors:  Ozge Karadas; Gulistan Mese; Engin Ozcivici
Journal:  Biomed Eng Lett       Date:  2020-07-06

3.  The multiscale structural and mechanical effects of mouse supraspinatus muscle unloading on the mature enthesis.

Authors:  Alix C Deymier; Andrea G Schwartz; Zhounghou Cai; Tyrone L Daulton; Jill D Pasteris; Guy M Genin; Stavros Thomopoulos
Journal:  Acta Biomater       Date:  2018-10-17       Impact factor: 8.947

4.  Genetic and tissue level muscle-bone interactions during unloading and reambulation.

Authors:  S Judex; W Zhang; L R Donahue; E Ozcivici
Journal:  J Musculoskelet Neuronal Interact       Date:  2016-09-07       Impact factor: 2.041

  4 in total

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