Optimisation of perfusion bioreactor for bone tissue growth

骨组织生长灌注生物反应器的优化

• 批准号: BB/F013892/2
• 负责人: Sarah Cartmell
• 金额: $ 13.33万
• 依托单位: University of Manchester
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2010
• 资助国家: 英国
• 起止时间: 2010 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=BB%2FF013892%2F2
• 关键词: Optimisation; perfusion; bioreactor; bone; tissue

Bone tissue engineering is an emerging therapy for treating patients undergoing orthopaedic trauma or disease. The core of the method is the growth of bone tissue on a initial artificial porous scaffold which mimics real bone. The growth is achieved by flowing stem cells through the scaffold until it is replaced by bone tissue which closely resembles the patients own bone. However, much optimisation is needed before this therapy can be implemented. One of the important factors is the number of cells that are placed on scaffold at the start of the several week culture period necessary to create the tissue engineered construct. The correct number and location of starting cells placed onto a scaffold is critical in determining the functionality of the resulting construct. This project aims to optimise cell-seeding methods on the scaffolds, by developing an experimentally validated computer model. The validation, and subsequent investigation, will import real experimental geometries into the flow model; these will be achieved using digital data captured by micro tomography and other methods. The modelling component is a vital element of the proposed project; it overcomes (i) the problem of the inaccessibility of experimental data in complex flow geometries and (ii) the high cost of exploring the potential parameter space experimentally. Expertise from both Keele University (in tissue engineering and bioreactor design) and Sheffield Hallam University (in flow modelling techniques) will be utilised synergistically in order to address the project aims in this joint proposal. Cell type, attachment proteins, scaffold geometry/chemistry, media perfusion rates and mixing techniques will all be analysed in order to investigate the optimal method of cell seeding for bone tissue engineering. The optimised flow model, which will also make timely use of the most recent mathematical modelling information available (eg King, 2005), will then be practically tested in a sterile laboratory environment. Biochemical assessment will be undertaken to determine the efficacy of the predicted, optimised methodology. Utilising modelling techniques in this way, it is possible to significantly reduce time and costs that would otherwise be spent in the laboratory optimising these essential parameters for tissue engineering.

骨组织工程是一种新兴的治疗骨科创伤或疾病的方法。该方法的核心是骨组织在模拟真实的骨的初始人工多孔支架上的生长。这种生长是通过使干细胞流过支架来实现的，直到它被与患者自身骨骼非常相似的骨组织所取代。然而，在实施这种疗法之前需要进行大量优化。其中一个重要因素是在创建组织工程构建体所需的几周培养期开始时放置在支架上的细胞数量。放置在支架上的起始细胞的正确数量和位置对于确定所得构建体的功能性至关重要。该项目旨在通过开发实验验证的计算机模型来优化支架上的细胞接种方法。验证和随后的调查将把真实的实验几何形状输入到流动模型中;这些将使用显微断层摄影和其他方法捕获的数字数据来实现。建模部分是拟议项目的一个重要组成部分;它克服了（i）在复杂的流动几何形状中无法获得实验数据的问题，以及（ii）通过实验探索潜在参数空间的高成本。基尔大学（组织工程和生物反应器设计）和谢菲尔德哈勒姆大学（流动建模技术）的专业知识将协同使用，以解决本联合提案中的项目目标。细胞类型，附着蛋白，支架几何/化学，培养基灌注速率和混合技术都将进行分析，以研究骨组织工程细胞接种的最佳方法。优化的流动模型，也将及时使用最新的数学建模信息（例如King，2005），然后将在无菌实验室环境中进行实际测试。将进行生化评估，以确定预测的优化方法的有效性。以这种方式利用建模技术，可以显著减少在实验室中优化组织工程的这些基本参数所花费的时间和成本。

项目成果

Instantaneous 4D micro-particle image velocimetry (µPIV) via multifocal microscopy (MUM).

• DOI: 10.1038/s41598-022-22701-3
• 发表时间: 2022-11-02
• 期刊: Scientific reports
• 影响因子: 4.6

Osteochondral tissue coculture: An in vitro and in silico approach

• DOI: 10.1002/bit.27127
• 发表时间: 2019-07
• 期刊: Biotechnology and Bioengineering
• 影响因子: 3.8
• 作者: Ruikang Xue;Benedict Chung;M. Tamaddon;J. Carr;Chaozong Liu;S. Cartmell

3D sample preparation for orthopaedic tissue engineering bioreactors.

骨科组织工程生物反应器的 3D 样品制备。

• DOI: 10.1007/978-1-60761-984-0_5
• 发表时间: 2011
• 期刊: Methods in molecular biology (Clifton, N.J.)
• 作者: Cartmell SH

Mesenchymal Stem Cells, Osteoblasts and Extracellular Matrix Proteins: Enhancing Cell Adhesion and Differentiation for Bone Tissue Engineering

• DOI: 10.1089/ten.teb.2009.0714
• 发表时间: 2010-08-01
• 期刊: TISSUE ENGINEERING PART B-REVIEWS
• 影响因子: 6.4
• 作者: Hidalgo-Bastida, Lilia Araida;Cartmell, Sarah H.
• 通讯作者: Cartmell, Sarah H.