Correlations Between Bone Mechanical Properties and Bone Composition Parameters in Mouse Models of Dominant and Recessive Osteogenesis Imperfecta and the Response to Anti‐TGF‐β Treatment |
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Authors: | Xiaohong Bi Hao Ding Rene Flores Elda Munivez Ming Ming Jiang Brian Dawson Brendan Lee Catherine G Ambrose |
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Affiliation: | 1. Department of Nanomedicine and Biomedical Engineering, University of Texas Health Science Center at Houston, Houston, TX, USAXB and IG contributed equally to this work.;2. Department of Nanomedicine and Biomedical Engineering, University of Texas Health Science Center at Houston, Houston, TX, USA;3. Academic and Research Affairs, University of Texas Health Science Center at Houston, Houston, TX, USA;4. Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA;5. Department of Orthopaedic Surgery, University of Texas Health Science Center at Houston, Houston, TX, USA |
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Abstract: | Osteogenesis imperfecta (OI) is a group of genetic disorders characterized by brittle bones that are prone to fracture. Although previous studies in animal models investigated the mechanical properties and material composition of OI bone, little work has been conducted to statistically correlate these parameters to identify key compositional contributors to the impaired bone mechanical behaviors in OI. Further, although increased TGF‐β signaling has been demonstrated as a contributing mechanism to the bone pathology in OI models, the relationship between mechanical properties and bone composition after anti‐TGF‐β treatment in OI has not been studied. Here, we performed follow‐up analyses of femurs collected in an earlier study from OI mice with and without anti‐TGF‐β treatment from both recessive (Crtap‐/‐) and dominant (Col1a2+/P.G610C) OI mouse models and WT mice. Mechanical properties were determined using three‐point bending tests and evaluated for statistical correlation with molecular composition in bone tissue assessed by Raman spectroscopy. Statistical regression analysis was conducted to determine significant compositional determinants of mechanical integrity. Interestingly, we found differences in the relationships between bone composition and mechanical properties and in the response to anti‐TGF‐β treatment. Femurs of both OI models exhibited increased brittleness, which was associated with reduced collagen content and carbonate substitution. In the Col1a2+/P.G610C femurs, reduced hydroxyapatite crystallinity was also found to be associated with increased brittleness, and increased mineral‐to‐collagen ratio was correlated with increased ultimate strength, elastic modulus, and bone brittleness. In both models of OI, regression analysis demonstrated that collagen content was an important predictor of the increased brittleness. In summary, this work provides new insights into the relationships between bone composition and material properties in models of OI, identifies key bone compositional parameters that correlate with the impaired mechanical integrity of OI bone, and explores the effects of anti‐TGF‐β treatment on bone‐quality parameters in these models. © 2016 American Society for Bone and Mineral Research. |
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Keywords: | OSTEOGENESIS IMPERFECTA BIOMECHANICS MATRIX MINERALIZATION ANALYSIS/QUANTIFICATION OF BONE STATISTICAL METHODS |
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