Region-specific associations among tissue-level mechanical properties, porosity, and composition in human male femora.

Region-specific associations among tissue-level mechanical properties, porosity, and composition in human male femora.
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人类男性股骨组织级机械性能、孔隙率和成分之间的区域特异性关联。

DOI:
10.1016/j.jbiomech.2022.111144
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发表时间:
2022-06
影响因子:
2.4
通讯作者:
Kohn, David H.
Kohn, David H.
中科院分区:
工程技术3区
文献类型:
--
作者:
Mandair, Gurjit S.;Bigelow, Erin M. R.;Viswanathan, Gowri;Ward, Ferrous S.;Patton, Daniella M.;Schlecht, Stephen H.;Jepsen, Karl J.;Kohn, David H.

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已知存在年龄相关骨重塑的区域特异性差异。因此,我们假设组织水平强度和屈服后应变(PYS)随年龄的下降在股骨内并不均匀,而是由孔隙率和成分的区域特异性差异驱动的。对男性尸体股骨(n = 33,18-89岁)的前、后、内侧和外侧梁进行四点弯曲。使用纳米计算机断层扫描(nanoCT)、拉曼光谱和灰化分析评估中皮质孔隙率、组成和矿化。比较了年轻组和老年组骨骼之间的特征,同时使用多变量分析来确定在区域水平上预测强度和PYS的特征。我们发现,年龄相关的孔隙度和力学性能下降各不相同的区域,最高的正斜率的年龄与日志(孔隙度)发现在后部和前部骨,和最陡峭的负斜率的年龄与强度和年龄与PYS发现在前部骨。多变量分析表明,Log(孔隙度)和/或拉曼1246/1269比值解释了前后骨强度差异的46-51%。与Log(孔隙度)、矿物结晶度、1246/1269、矿物/基质比和/或羟脯氨酸/脯氨酸(Hyp/Pro)比相关的五个性状中的三个可解释前、后和侧骨中PYS的35-50%的方差。Log(孔隙率)和Hyp/Pro比值分别解释了内侧骨强度和PYS的13%和19%的方差。多变量分析的预测性能受到所有骨区域汇总数据的负面影响,强调了股骨的复杂性,并且汇总分析的使用可能会掩盖潜在的区域特异性差异。
Region-specific differences in age-related bone remodeling are known to exist. We therefore hypothesized that the decline in tissue-level strength and post-yield strain (PYS) with age is not uniform within the femur, but is driven by region-specific differences in porosity and composition. Four-point bending was conducted on anterior, posterior, medial, and lateral beams from male cadaveric femora (n = 33, 18–89 yrs of age). Mid-cortical porosity, composition, and mineralization were assessed using nano-computed tomography (nanoCT), Raman spectroscopy, and ashing assays. Traits between bones from young and elderly groups were compared, while multivariate analyses were used to identify traits that predicted strength and PYS at the regional level. We show that age-related decline in porosity and mechanical properties varied regionally, with highest positive slope of age vs. Log(porosity) found in posterior and anterior bone, and steepest negative slopes of age vs. strength and age vs. PYS found in anterior bone. Multivariate analyses show that Log(porosity) and/or Raman 1246/1269 ratio explained 46–51% of the variance in strength in anterior and posterior bone. Three out of five traits related to Log(porosity), mineral crystallinity, 1246/1269, mineral/matrix ratio, and/or hydroxyproline/proline (Hyp/Pro) ratio, explained 35–50% of the variance in PYS in anterior, posterior and lateral bones. Log(porosity) and Hyp/Pro ratio alone explained 13% and 19% of the variance in strength and PYS in medial bone, respectively. The predictive performance of multivariate analyses was negatively impacted by pooling data across all bone regions, underscoring the complexity of the femur and that the use of pooled analyses may obscure underlying region-specific differences.
外部骨骼大小可以识别男性人类股骨的不同强度轨迹轨迹。
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发表时间: 2020-12-01
影响因子: 3
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发表时间: 2018-07-01
期刊: BONE
影响因子: 4.1
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