首页> 美国卫生研究院文献>Journal of Bone and Mineral Research >QUANTIFYING LOAD-INDUCED SOLUTE TRANSPORT AND SOLUTE-MATRIX INTERACTIONS WITHIN THE OSTEOCYTE LACUNAR-CANALICULAR SYSTEM
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QUANTIFYING LOAD-INDUCED SOLUTE TRANSPORT AND SOLUTE-MATRIX INTERACTIONS WITHIN THE OSTEOCYTE LACUNAR-CANALICULAR SYSTEM

机译:量化卵囊腔-肾小管-肾小管系统内负载诱导的溶质运输和溶质-基质相互作用

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摘要

Osteocytes, the most abundant cells in bone, are critical in maintaining tissue homeostasis and orchestrating bone’s mechanical adaptation. Osteocytes depend upon load-induced convection within the lacunar-canalicular system (LCS) to maintain viability and to sense their mechanical environment. Using the fluorescence recovery after photobleaching (FRAP) imaging approach, we previously quantified the convection of a small tracer (sodium fluorescein, 376Da) in the murine tibial LCS for an intermittent cyclic loading (Price et al., 2011. JBMR 26:277-85). In the present study we first expanded the investigation of solute transport using a larger tracer (parvalbumin, 12.3kDa), which is comparable in size to some signaling proteins secreted by osteocytes. Murine tibiae were subjected to sequential FRAP tests under rest-inserted cyclic loading while the loading magnitude (0, 2.8, or 4.8N) and frequency (0.5, 1, or 2 Hz) were varied. The characteristic transport rate k and the transport enhancement relative to diffusion (k/k0) were measured under each loading condition, from which the peak solute velocity in the LCS was derived using our LCS transport model. Both the transport enhancement and solute velocity increased with loading magnitude and decreased with loading frequency. Furthermore, the solute-matrix interactions, quantified in terms of the reflection coefficient through the osteocytic pericellular matrix (PCM), were measured and theoretically modeled. The reflection coefficient of parvalbumin (σ=0.084) was derived from the differential fluid and solute velocities within loaded bone. Using a newly developed PCM sieving model, the PCM’s fiber configurations accounting for the measured interactions were obtained for the first time. The present study provided not only new data on the micro-fluidic environment experienced by osteocytes in situ, but also a powerful quantitative tool for future study of the PCM, the critical interface that controls both outside-in and inside-out signaling in osteocytes during normal bone adaptation and in pathological conditions.
机译:骨细胞是骨骼中最丰富的细胞,对于维持组织稳态和协调骨骼的机械适应性至关重要。骨细胞依赖于腔-小管系统(LCS)内负荷诱导的对流来维持活力并感知其机械环境。使用光漂白后的荧光恢复(FRAP)成像方法,我们先前对鼠胫骨LCS中小示踪剂(荧光素,376Da)的对流进行了周期性循环加载(Price等,2011。JBMR 26:277- 85)。在本研究中,我们首先使用较大的示踪剂(小白蛋白,12.3kDa)扩大了溶质转运的研究范围,该示踪剂的大小与骨细胞分泌的某些信号蛋白相当。鼠胫骨在休息插入的循环载荷下进行顺序FRAP测试,而载荷大小(0、2.8或4.8N)和频率(0.5、1或2 Hz)变化。在每种负载条件下,测量了特征输运速率k和相对于扩散的输运增强(k / k0),使用我们的LCS输运模型从中推导出了LCS中的溶质峰值速度。输运增强和溶质速度均随负载量的增加而增加,随负载频率的增加而减小。此外,对溶质与基质之间的相互作用进行了测量,并在理论上对了溶质与基质之间的相互作用进行了定量,该相互作用系数是通过穿过骨细胞周围细胞基质(PCM)的反射系数来确定的。小白蛋白的反射系数(σ= 0.084)由加载的骨骼中的流体和溶质速度差异得出。使用新开发的PCM筛分模型,首次获得了可测量相互作用的PCM光纤配置。本研究不仅提供了有关骨细胞原位经历的微流体环境的新数据,而且为将来研究PCM提供了强大的定量工具,PCM是控制骨细胞在外向内和由内向外传递信号的关键界面。正常的骨骼适应和病理状况。

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