器官芯片技术:具有革命性骨关节炎研究和临床发展潜力的新工具

IF 2.8
Carlo Alberto Paggi
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引用次数: 0

摘要

目的批判性地评估骨关节炎(OA)研究的体外模型的发展,特别关注器官芯片(OOC)技术,并讨论它们在疾病建模、药物发现和临床前毒理学方面克服传统2D、3D和外植体模型局限性的潜力。方法本综述综合了近年来有关OA研究中使用的历史和当前体外平台的研究结果。它根据生物复杂性和生理相关性对模型进行分类,特别强调OOC系统中的生物力学和生化刺激。本文讨论了文献中的关键示例,以说明新兴平台的实用性和可扩展性。结果传统的二维培养虽然被广泛应用,但缺乏复制天然关节生理所需的空间和环境复杂性。3D培养和外植体模型提供了改进的结构和细胞环境,但面临标准化、寿命和可重复性方面的挑战。OOC系统提供了一个动态、可调的微环境,支持实时监测和集成剪切应力和压缩等机械信号。这些平台已成功用于研究免疫细胞迁移、药物通过屏障的渗透性和细胞因子诱导的基质降解。此外,与传统方法相比,它们在疗效和安全性研究的临床前建模中的应用突出了更具预测性和与人类相关的数据的潜力。结论oocs技术代表了OA建模的革命性进步,提供了更高的生理相关性和实验精度。随着不断的完善和验证,OOC平台可以显著提高疾病改善性OA治疗的转化成功率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Organ-on-chip technologies: Novel tools with the potential to revolutionize osteoarthritis research and clinical development

Objective

To critically evaluate the evolution of in vitro models for osteoarthritis (OA) research, with a specific focus on organ-on-chip (OOC) technologies, and to discuss their potential to overcome the limitations of traditional 2D, 3D, and explant models in disease modelling, drug discovery, and preclinical toxicology.

Methods

This review synthesizes findings from recent literature regarding historical and current in vitro platforms used in OA research. It categorizes models based on biological complexity and physiological relevance, with particular emphasis on biomechanical and biochemical stimulation in OOC systems. Key examples from the literature are discussed to illustrate the utility and scalability of emerging platforms.

Results

Traditional 2D cultures, while widely used, lack the spatial and environmental complexity necessary to replicate native joint physiology. 3D cultures and explant models provide improved architecture and cellular context, but face challenges related to standardization, longevity, and reproducibility. OOC systems offer a dynamic and tunable microenvironment that supports real-time monitoring and integration of mechanical cues such as shear stress and compression. These platforms have been successfully employed to investigate immune cell migration, drug permeability across barriers, and cytokine-induced matrix degradation. Furthermore, their application in preclinical modelling for efficacy and safety studies highlights the potential for more predictive, human-relevant data compared to conventional methods.

Conclusion

OOCs technology represents a transformative advance in OA modelling, offering increased physiological relevance and experimental precision. With continued refinement and validation, OOC platforms could significantly improve the translational success of disease-modifying OA therapies.
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来源期刊
Osteoarthritis and cartilage open
Osteoarthritis and cartilage open Orthopedics, Sports Medicine and Rehabilitation
CiteScore
3.30
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