与 BALB/c 小鼠相比,C57BL/6 小鼠的泪囊网络更密集。

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC ACS Applied Electronic Materials Pub Date : 2024-11-01 Epub Date: 2024-10-16 DOI:10.1007/s00223-024-01289-y
Maximilian Rummler, Alexander van Tol, Victoria Schemenz, Markus A Hartmann, Stéphane Blouin, Bettina M Willie, Richard Weinkamer
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引用次数: 0

摘要

腔隙-管状网(LCN)是由腔(裂隙)和通道(管状孔)组成的复杂结构,渗透到矿化的骨基质中。在其多孔性中,LCN 容纳了骨细胞的细胞网络。这两个嵌套的网络具有多种基本功能,包括运输、信号传递和机械敏感性,这些功能是由于负载引起的流体流经 LCN 而产生的。要对网络的功能进行更量化的评估,必须了解其三维结构。为此,我们的目标是:(i)定量描述 BALB/c 小鼠整个胫骨横截面中 LCN 的空间异质性;(ii)通过与另一种常用的近交系小鼠 C57BL/6 进行比较,分析 LCN 结构的差异。用罗丹明 6G 对五只 BALB/c 小鼠(雌性,26 周大)的两根胫骨进行染色,并用激光共聚焦扫描显微镜对整个胫骨横截面进行成像。通过图像分析,对 LCN 的密度和连接性以及裂隙参数(如裂隙程度、体积和形状)进行量化。在相同的胫骨横截面上,使用定量反向散射电子成像(qBEI)测量了钙含量。对 LCN 特性的结构分析表明,LCN 的空间致密部分主要是由于网络中的分支点密度较高。虽然在皮层内检测到网络密度的个体内变异性很高,但不同小鼠之间的个体间变异性却很低。与 C57BL/6J 小鼠相比,BALB/c 小鼠的管状密度明显较低。在局部网络水平上已经可以检测到这种降低的网络,因为从腔隙发出的管状突起较少。与 qBEI 图像的空间相关性表明,骨建模导致了网络结构的破坏。LCN 的空间异质性和密度差异可能会影响网络内的流体流动,从而影响骨骼对负荷的机械响应。
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The Lacunocanalicular Network is Denser in C57BL/6 Compared to BALB/c Mice.

The lacunocanalicular network (LCN) is an intricate arrangement of cavities (lacunae) and channels (canaliculi), which permeates the mineralized bone matrix. In its porosity, the LCN accommodates the cell network of osteocytes. These two nested networks are attributed a variety of essential functions including transport, signaling, and mechanosensitivity due to load-induced fluid flow through the LCN. For a more quantitative assessment of the networks' function, the three-dimensional architecture has to be known. For this reason, we aimed (i) to quantitatively characterize spatial heterogeneities of the LCN in whole mouse tibial cross-sections of BALB/c mice and (ii) to analyze differences in LCN architecture by comparison with another commonly used inbred mouse strain, the C57BL/6 mouse. Both tibiae of five BALB/c mice (female, 26-week-old) were stained using rhodamine 6G and whole tibiae cross-sections were imaged using confocal laser scanning microscopy. Using image analysis, the LCN was quantified in terms of density and connectivity and lacunar parameters, such as lacunar degree, volume, and shape. In the same tibial cross-sections, the calcium content was measured using quantitative backscattered electron imaging (qBEI). A structural analysis of the LCN properties showed that spatially denser parts of the LCN are mainly due to a higher density of branching points in the network. While a high intra-individual variability of network density was detected within the cortex, the inter-individual variability between different mice was low. In comparison to C57BL/6J mice, BALB/c mice showed a distinct lower canalicular density. This reduced network was already detectable on a local network level with fewer canaliculi emanating from lacunae. Spatial correlation with qBEI images demonstrated that bone modeling resulted in disruptions in the network architecture. The spatial heterogeneity and differences in density of the LCN likely affects the fluid flow within the network and therefore bone's mechanoresponse to loading.

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