Healthcare Technologies Institute, Institute of Translational Medicine, University of Birmingham, Birmingham, United Kingdom.
Division of Biomedical Engineering, James Watt School of Engineering, University of Glasgow, Glasgow, United Kingdom.
Tissue Eng Part B Rev. 2022 Apr;28(2):421-436. doi: 10.1089/ten.teb.2020.0354. Epub 2021 May 19.
Osteoarthritis (OA) is a severely painful and debilitating disease of the joint, which brings about degradation of the articular cartilage and currently has few therapeutic solutions. Two-dimensional (2D) high-throughput screening (HTS) assays have been widely used to identify candidate drugs with therapeutic potential for the treatment of OA. A number of small molecules which improve the chondrogenic differentiation of progenitor cells for tissue engineering applications have also been discovered in this way. However, due to the failure of these models to accurately represent the native joint environment, the efficacy of these drugs has been limited . Screening systems utilizing three-dimensional (3D) models, which more closely reflect the tissue and its complex cell and molecular interactions, have also been described. However, the vast majority of these systems fail to recapitulate the complex, zonal structure of articular cartilage and its unique cell population. This review summarizes current 2D HTS techniques and addresses the question of how to use existing 3D models of tissue-engineered cartilage to create 3D drug screening platforms with improved outcomes. Impact statement Currently, the use of two-dimensional (2D) screening platforms in drug discovery is common practice. However, these systems often fail to predict efficacy , as they do not accurately represent the complexity of the native three-dimensional (3D) environment. This article describes existing 2D and 3D high-throughput systems used to identify small molecules for osteoarthritis treatment or chondrogenic differentiation, and suggests ways to improve the efficacy of these systems based on the most recent research.
骨关节炎(OA)是一种严重的关节疼痛和使人虚弱的疾病,会导致关节软骨退化,目前治疗方法有限。二维(2D)高通量筛选(HTS)检测已广泛用于鉴定具有治疗 OA 潜力的候选药物。通过这种方式,还发现了许多可改善组织工程应用中祖细胞软骨分化的小分子。然而,由于这些模型未能准确地代表天然关节环境,这些药物的疗效受到限制。也描述了利用更能反映组织及其复杂的细胞和分子相互作用的三维(3D)模型的筛选系统。然而,这些系统中的绝大多数都无法再现关节软骨的复杂、分区结构及其独特的细胞群体。本文总结了目前的 2D HTS 技术,并探讨了如何利用现有的组织工程软骨 3D 模型来创建具有改善结果的 3D 药物筛选平台。