The interindividual variation in femoral neck width is associated with the acquisition of predictable sets of morphological and tissue-quality traits and differential bone loss patterns
The interindividual variation in femoral neck width is associated with the acquisition of predictable sets of morphological and tissue-quality traits and differential bone loss patterns
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DOI：
10.1002/jbmr.1614
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发表时间：
2012-07-01
影响因子：
6.2
通讯作者：
Jepsen, Karl J.
中科院分区：
文献类型：
--
作者：
Epelboym, Yan;Gendron, R. Nicholas;Jepsen, Karl J.
更好地了解股骨颈结构和年龄相关的骨质流失将有助于旨在降低骨折风险的研究。我们使用了稳健性的自然变化（骨宽度相对于长度）来分析自适应过程如何协变与稳健性相关的特征，以及稳健性的变化是否会影响与年龄相关的骨丢失模式。采用X线摄影、外周定量计算机断层扫描、显微计算机断层扫描和灰分含量分析对49具女性尸体（2993岁）的股骨颈进行了形态学和组织水平特征评价。股骨颈稳健性呈正态分布，变异系数为14.9%。偏回归分析显示，显著负相关（p？？0.2）。结果表明，细长股骨与健壮股骨相比具有不同的一组特征，并且健壮性的自然变化是与年龄相关的骨丢失模式的决定因素。临床诊断和治疗可能会受益于更好地了解这些健壮特定的结构和老化模式。(c)2012年美国骨与矿物质研究学会。
A better understanding of femoral neck structure and age-related bone loss will benefit research aimed at reducing fracture risk. We used the natural variation in robustness (bone width relative to length) to analyze how adaptive processes covary traits in association with robustness, and whether the variation in robustness affects age-related bone loss patterns. Femoral necks from 49 female cadavers (2993 years of age) were evaluated for morphological and tissue-level traits using radiography, peripheral quantitative computed tomography, microcomputed tomography, and ash-content analysis. Femoral neck robustness was normally distributed and varied widely with a coefficient of variation of 14.9%. Age-adjusted partial regression analysis revealed significant negative correlations (p??0.2). The results indicated that slender femora were constructed with a different set of traits compared to robust femora, and that the natural variation in robustness was a determinant of age-related bone loss patterns. Clinical diagnoses and treatments may benefit from a better understanding of these robustness-specific structural and aging patterns. (c) 2012 American Society for Bone and Mineral Research.