Age-specific profiles of tissue-level composition and mechanical properties in murine cortical bone.
Age-specific profiles of tissue-level composition and mechanical properties in murine cortical bone.
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DOI：
10.1016/j.bone.2011.12.026
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发表时间：
2012-04
期刊：
影响因子：
4.1
通讯作者：
Morris, Michael D.
中科院分区：
文献类型：
--
作者：
Raghavan, Mekhala;Sahar, Nadder D.;Kohn, David H.;Morris, Michael D.
越来越多的证据表明，骨成分和组织水平的机械性能是骨骼完整性的重要决定因素。在目前的研究中，拉曼光谱和纳米压痕测试在相似的空间尺度上分析了骨骼成熟的幼鼠（4或5个月）和老年鼠（19个月）股骨的组织水平成分和力学性能。标准的多元线性回归分析揭示了组织尺度上力学和成分特性之间的年龄依赖模式。然而，骨材料性能随年龄的变化往往是复杂的和非线性的，并且可以用线性回归和基于相关性的方法忽略。采用非线性多维可视化和分类的回顾性数据挖掘方法来识别光谱和纳米压痕指标，这些指标最能区分不同年龄类别的骨标本。与使用单独测量（59-79%）相比，使用拉曼和纳米压痕变量的组合（86-96%的准确度）增加了将标本分类到正确年龄组的能力。对4、5月龄和19月龄（2个年龄级）试样进行分类的最佳指标是矿物与基质比、结晶度、模量和塑性指数。区分4个月、5个月和19个月标本（3个年龄类别）的最佳指标是矿物与基质比、结晶度、模量、硬度、交联、碳酸盐与磷酸盐比、蠕变位移和蠕变粘度。这些发现证明了骨组织特性机制的复杂性，并引起了人们对考虑组织水平组成和力学之间非线性相互作用的重要性的关注，这些非线性相互作用可能会随着年龄的增长共同影响材料的特性。结果表明，一些非线性组合的成分指标和力学指标比单一指标或单一技术提供更好的判别信息。
There is growing evidence that bone composition and tissue-level mechanical properties are significant determinants of skeletal integrity. In the current study, Raman spectroscopy and nanoindentation testing were co-localized to analyze tissue-level compositional and mechanical properties in skeletally mature young (4 or 5 months) and old (19 months) murine femora at similar spatial scales. Standard multivariate linear regression analysis revealed age-dependent patterns in the relationships between mechanical and compositional properties at the tissue scale. However, changes in bone material properties with age are often complex and nonlinear, and can be missed with linear regression and correlation-based methods. A retrospective data mining approach was implemented using non-linear multidimensional visualization and classification to identify spectroscopic and nanoindentation metrics that best discriminated bone specimens of different age-classes. The ability to classify the specimens into the correct age group increased by using combinations of Raman and nanoindentation variables (86–96% accuracy) as compared to using individual measures (59–79% accuracy). Metrics that best classified 4 or 5 month and 19 month specimens (2-age classes) were mineral to matrix ratio, crystallinity, modulus and plasticity index. Metrics that best distinguished between 4, 5 and 19 month specimens (3-age classes) were mineral to matrix ratio, crystallinity, modulus, hardness, cross-linking, carbonate to phosphate ratio, creep displacement and creep viscosity. These findings attest to the complexity of mechanisms underlying bone tissue properties and draw attention to the importance of considering non-linear interactions between tissue-level composition and mechanics that may work together to influence material properties with age. The results demonstrate that a few non-linearly combined compositional and mechanical metrics provide better discriminatory information than a single metric or a single technique.
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影响因子：
4.3
作者：
Currey, John D
通讯作者：
Currey, John D
影响因子：
9.5
作者：
Boulesteix, Anne-Laure;Strimmer, Korbinian
通讯作者：
Strimmer, Korbinian
DOI：
10.1109/tvcg.2003.1207445
发表时间：
2003-07-01
影响因子：
5.2
作者：
de Oliveira, MCF;Levkowitz, H
通讯作者：
Levkowitz, H
影响因子：
4.1
作者：
Hengsberger, S;Kulik, A;Zysset, P
通讯作者：
Zysset, P
影响因子：
5.9
作者：
Cummings, SR;Karpf, DB;Black, DM
通讯作者：
Black, DM