Literature DB >> 23401066

Genetic loci that control the loss and regain of trabecular bone during unloading and reambulation.

Stefan Judex1, Weidong Zhang, Leah Rae Donahue, Engin Ozcivici.   

Abstract

Changes in trabecular morphology during unloading and reloading are marked by large variations between individuals, implying that there is a strong genetic influence on the magnitude of the response. Here, we subjected more than 350 second-generation (BALBxC3H) 4-month-old adult female mice to 3 weeks of hindlimb unloading followed by 3 weeks of reambulation to identify the quantitative trait loci (QTLs) that define an individual's propensity to either lose trabecular bone when weight bearing is removed or to gain trabecular bone when weight bearing is reintroduced. Longitudinal in vivo micro-computed tomography (µCT) scans demonstrated that individual mice lost between 15% and 71% in trabecular bone volume fraction (BV/TV) in the distal femur during unloading (average: -43%). Changes in trabecular BV/TV during the 3-week reambulation period ranged from a continuation of bone loss (-18%) to large additions (56%) of tissue (average: +10%). During unloading, six QTLs accounted for 21% of the total variability in changes in BV/TV whereas one QTL accounted for 6% of the variability in changes in BV/TV during reambulation. QTLs were also identified for changes in trabecular architecture. Most of the QTLs defining morphologic changes during unloading or reambulation did not overlap with those QTLs identified at baseline, suggesting that these QTLs harbor genes that are specific for sensing changes in the levels of weight bearing. The lack of overlap in QTLs between unloading and reambulation also emphasizes that the genes modulating the trabecular response to unloading are distinct from those regulating tissue recovery during reloading. The identified QTLs contain the regulatory genes underlying the strong genetic regulation of trabecular bone's sensitivity to weight bearing and may help to identify individuals that are most susceptible to unloading-induced bone loss and/or the least capable of recovering.
Copyright © 2013 American Society for Bone and Mineral Research.

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Year:  2013        PMID: 23401066     DOI: 10.1002/jbmr.1883

Source DB:  PubMed          Journal:  J Bone Miner Res        ISSN: 0884-0431            Impact factor:   6.741


  8 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.  Bone shaft bending strength index is unaffected by exercise and unloading in mice.

Authors:  Ian J Wallace; Shikha Gupta; Jeyantt Sankaran; Brigitte Demes; Stefan Judex
Journal:  J Anat       Date:  2015-02-02       Impact factor: 2.610

3.  Low level irradiation in mice can lead to enhanced trabecular bone morphology.

Authors:  Lamya Karim; Stefan Judex
Journal:  J Bone Miner Metab       Date:  2013-10-11       Impact factor: 2.626

4.  Differences in bone structure and unloading-induced bone loss between C57BL/6N and C57BL/6J mice.

Authors:  Jeyantt S Sankaran; Manasvi Varshney; Stefan Judex
Journal:  Mamm Genome       Date:  2017-09-14       Impact factor: 2.957

5.  Metacarpal trabecular bone varies with distinct hand-positions used in hominid locomotion.

Authors:  Christopher J Dunmore; Tracy L Kivell; Ameline Bardo; Matthew M Skinner
Journal:  J Anat       Date:  2019-05-17       Impact factor: 2.610

6.  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

7.  Trabecular and Cortical Bone of Growing C3H Mice Is Highly Responsive to the Removal of Weightbearing.

Authors:  Bing Li; Jeyantt Srinivas Sankaran; Stefan Judex
Journal:  PLoS One       Date:  2016-05-25       Impact factor: 3.240

8.  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

  8 in total

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