Exploring complex cellular interactions: mathematical modeling of bone mineralization, turnover, and mechanobiology

探索复杂的细胞相互作用：骨矿化、周转和力学生物学的数学模型

• 批准号: RGPIN-2020-04735
• 负责人: Komarova, Svetlana
• 金额: $ 2.4万
• 依托单位: McGill University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2022
• 资助国家: 加拿大
• 起止时间: 2022-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=750709
• 关键词: Exploring; complex; cellular; interactions; mathematical

BACKGROUND: Bone plays distinct roles in locomotion and calcium homeostasis. Bone mechanical properties are determined by its composition and structure. Bone tissue composition is controlled by osteoblasts, which produce a collagenous matrix that upon maturation nucleates precipitation of hydroxyapatite. Bone structure depends on bone (re)modeling - a coordinated process of tissue shaping that includes resorption by osteoclasts, formation by osteoblasts and over-reaching regulation by bone-resident osteocytes, cells especially important for mechanoadaptation. During the previous funding cycles, we developed mathematical models describing features of bone mineralization, spatiotemporal progression of bone remodeling, and mechanoregulation of osteoblasts and osteocytes. My next focus will be to understand the interactions and relative contributions of biological and mechanical factors in determining the outcome of bone turnover. OVERALL OBJECTIVE: To develop conceptual models of cellular control of bone (re)modeling that integrates bone responsiveness to the local mechanical environment with it diverse endocrine roles. RESEARCH PLAN: Aim 1: To examine bone mechanoadaptation I plan to develop theoretical models that include the short-term responses of individual cells and the long-term mechanoadaptation outcomes. We recently identified cell injury as critical in bone cell mechano-response, and developed a model of fast propagation of mechano-biological signal through bone tissue. To examine coordination between acute responses and long-term mechanoadaptation, we will incorporate this model with the previously developed model of bone cell interactions during bone remodeling. Aim 2: To understand the endocrine function of bone, I will study the relationships between the need in calcium and phosphate for bone mineralization and the role of bone in providing these minerals for the whole body calcium and phosphorus homeostasis. Our model of biological regulation of mineralization will be expanded to include physical chemistry of calcium/phosphate precipitation, and combined with models of hormonal regulation of calcium/phosphorus homeostasis. Aim 3: To examine how hormonal and mechanical inputs are integrated by bone cells, I plan to combine the models developed in aims 1 and 2 to identify the parameters that determine which functions will be prioritized by the cells receiving the signal. Aim 4. To improve the use of meta-analytic approaches to obtain reliable estimates of model parameters, I plan to develop theoretical foundation for use of specific meta-analytic schemes for different types of experimental data, and practical approaches to facilitate literature screening, data extraction, management, and analysis. SIGNIFICANCE: These studies will improve our understanding of principles underlying endocrine regulation of homeostasis, and provide new insights into the mechanisms that control architecture and strength of the vertebrate skeleton.

背景：骨在运动和钙稳态中起着独特的作用。骨的力学性能由其组成和结构决定。骨组织成分由成骨细胞控制，成骨细胞产生胶原基质，胶原基质在成熟时使羟基磷灰石沉淀成核。骨结构取决于骨（重新）建模-组织成形的协调过程，包括破骨细胞的吸收，成骨细胞的形成和骨驻留骨细胞的过度调节，这些细胞对机械适应特别重要。在之前的资助周期中，我们开发了描述骨矿化特征、骨重建时空进展以及成骨细胞和骨细胞机械调节的数学模型。我的下一个重点将是了解生物和机械因素在决定骨转换结果中的相互作用和相对贡献。总体目标：开发骨（重建）的细胞控制的概念模型，将骨对局部机械环境的反应与其不同的内分泌作用相结合。研究报告：目标1：为了研究骨机械适应性，我计划开发理论模型，包括单个细胞的短期反应和长期机械适应性结果。我们最近确定细胞损伤是骨细胞机械响应的关键，并开发了一个模型，通过骨组织的机械生物信号的快速传播。为了研究急性反应和长期机械适应之间的协调，我们将把这个模型与以前开发的骨重建过程中骨细胞相互作用的模型结合起来。目标二：为了了解骨骼的内分泌功能，我将研究骨骼矿化对钙和磷的需求与骨骼在为全身钙和磷稳态提供这些矿物质方面的作用之间的关系。我们的矿化的生物调节模型将扩展到包括钙/磷酸盐沉淀的物理化学，并结合钙/磷稳态的激素调节模型。 目标三：为了研究激素和机械输入是如何被骨细胞整合的，我计划将目标1和目标2中开发的模型联合收割机结合起来，以确定哪些参数决定了哪些功能将被接收信号的细胞优先考虑。 目标4。为了提高荟萃分析方法的使用，以获得可靠的估计模型参数，我计划开发的理论基础，使用特定的荟萃分析方案，不同类型的实验数据，和实用的方法，以方便文献筛选，数据提取，管理和分析。重要性：这些研究将提高我们对内分泌调节稳态的基本原理的理解，并为控制脊椎动物骨骼结构和强度的机制提供新的见解。