Kola Sravan K, Begonia Mark T, Tiede-Lewis LeAnn M, Laughrey Loretta E, Dallas Sarah L, Johnson Mark L, Ganesh Thiagarajan
Department of Civil and Mechanical Engineering, University of Missouri-Kansas City, 350L Flarsheim Hall, 5100 Rockhill Road, Kansas City, MO 64110, United States of America.
Director of Testing Helmet Lab, Virginia Polytechnic Institute and State University, Blacksburg, VA, United States of America.
Bone Rep. 2020 May 19;12:100277. doi: 10.1016/j.bonr.2020.100277. eCollection 2020 Jun.
Osteocytes are thought to be the primary mechanosensory cells within bone, regulating both osteoclasts and osteoblasts to control load induced changes in bone resorption and formation. Osteocytes initiate intracellular responses including activating the Wnt/β-catenin signaling pathway after experiencing mechanical forces. In response to changing mechanical loads (strain) the osteocytes signal to cells on the bone surface. However, this process of osteocyte activation appears heterogeneous since it occurs in sub-populations of osteocytes, even within regions predicted to be experiencing similar global strain magnitudes determined based on traditional finite element modeling approaches. Several studies have investigated the strain responses of osteocyte lacunae using finite element (FE) models, but many were limited by the use of idealized geometries (e.g., ellipsoids) and analysis of a single osteocyte. Finite element models by other groups included more details, such as canaliculi, but all were done on models consisting of a single osteocyte. We hypothesized that variation in size and orientation of the osteocyte lacunae within bone would give rise to micro heterogeneity in the strain fields that could better explain the observed patterns of osteocyte activation following load. The osteocytes in our microscale and nanoscale models have an idealized oval shape and some are based on confocal scans. However, all the FE models in this preliminary study consist of multiple osteocytes. The number of osteocytes in the 3D confocal scan models ranged from five to seventeen. In this study, a multi-scale computational approach was used to first create an osteocyte FE model at the microscale level to examine both the theoretical lacunar and perilacunar strain responses based on two parameters: 1) lacunar orientation and 2) lacunar size. A parametric analysis was performed by steadily increasing the perilacunar modulus (5, 10, 15, and 20 GPa). Secondly, a nanoscale FE model was built using known osteocyte dimensions to determine the predicted strains in the perilacunar matrix, fluid space, and cell body regions. Finally, 3-D lacunar models were created using confocal image stacks from mouse femurs to determine the theoretical strain in the lacunae represented by realistic geometries. Overall, lacunar strains decreased by 14% in the cell body, 15% in the fluid space region and 25% in the perilacunar space as the perilacunar modulus increased, indicating a stress shielding effect. Lacunar strains were lower for the osteocytes aligned along the loading axis compared to those aligned perpendicular to axis. Increases in lacuna size also led to increased lacunar strains. These finite element model findings suggest that orientation and lacunar size may contribute to the heterogeneous initial pattern of osteocyte strain response observed in bone following in vivo applied mechanical loads. A better understanding of how mechanical stimuli directly affect the lacunae and perilacunar tissue strains may ultimately lead to a better understanding of the process of osteocyte activation in response to mechanical loading.
骨细胞被认为是骨内主要的机械感觉细胞,通过调节破骨细胞和成骨细胞来控制负荷诱导的骨吸收和形成变化。骨细胞在经历机械力后会启动细胞内反应,包括激活Wnt/β-连环蛋白信号通路。为响应不断变化的机械负荷(应变),骨细胞会向骨表面的细胞发出信号。然而,骨细胞激活过程似乎具有异质性,因为它发生在骨细胞亚群中,即使在基于传统有限元建模方法预测经历相似全局应变大小的区域内也是如此。多项研究使用有限元(FE)模型研究了骨细胞陷窝的应变反应,但许多研究因使用理想化几何形状(如椭球体)和对单个骨细胞的分析而受到限制。其他研究小组的有限元模型包含更多细节,如小管,但都是在由单个骨细胞组成的模型上进行的。我们假设骨内骨细胞陷窝大小和方向的变化会导致应变场的微观异质性,这可以更好地解释负荷后观察到的骨细胞激活模式。我们微观和纳米尺度模型中的骨细胞具有理想化的椭圆形,有些基于共聚焦扫描。然而,这项初步研究中的所有有限元模型都由多个骨细胞组成。三维共聚焦扫描模型中的骨细胞数量从5个到17个不等。在本研究中,采用多尺度计算方法首先在微观尺度创建一个骨细胞有限元模型,以基于两个参数检查理论上的陷窝和陷窝周围应变反应:1)陷窝方向和2)陷窝大小。通过稳步增加陷窝周围模量(5、10、15和20 GPa)进行参数分析。其次,使用已知的骨细胞尺寸构建纳米尺度有限元模型,以确定陷窝周围基质、流体空间和细胞体区域中的预测应变。最后,使用来自小鼠股骨的共聚焦图像堆栈创建三维陷窝模型,以确定由实际几何形状表示的陷窝中的理论应变。总体而言,随着陷窝周围模量增加,细胞体中的陷窝应变降低了14%,流体空间区域降低了15%,陷窝周围空间降低了25%,表明存在应力屏蔽效应。与垂直于加载轴排列的骨细胞相比,沿加载轴排列的骨细胞的陷窝应变更低。陷窝大小的增加也导致陷窝应变增加。这些有限元模型研究结果表明,方向和陷窝大小可能导致在体内施加机械负荷后骨中观察到的骨细胞应变反应的异质性初始模式。更好地理解机械刺激如何直接影响陷窝和陷窝周围组织应变,最终可能有助于更好地理解骨细胞响应机械负荷的激活过程。