Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/5580
Title: Quantitative trait loci that modulate trabecular bone's risk of failure during unloading and reloading
Authors: Özçivici, Engin
Zhang, Weidong
Donahue, Leah Rae
Judex, Stefan
Özçivici, Engin
Izmir Institute of Technology. Mechanical Engineering
Keywords: Finite element method
Genetic research
Mechanical loading
Stress
Quantitative trait loci
Issue Date: Jul-2014
Publisher: Elsevier Ltd.
Source: Özçivici, E., Zhang, W., Donahue, L.R., and Judex, S. (2014). Quantitative trait loci that modulate trabecular bone's risk of failure during unloading and reloading. Bone, 64, 25-32. doi:10.1016/j.bone.2014.03.042
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.
URI: https://doi.org/10.1016/j.bone.2014.03.042
http://hdl.handle.net/11147/5580
ISSN: 8756-3282
8756-3282
Appears in Collections:Mechanical Engineering / Makina Mühendisliği
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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