Caravaggi Paolo, Assirelli Elisa, Ensini Andrea, Ortolani Maurizio, Mariani Erminia, Leardini Alberto, Neri Simona, Belvedere Claudio
Movement Analysis Laboratory, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Istituto Ortopedico Rizzoli, Bologna, Italy.
Laboratory of Immunorheumatology and Tissue Regeneration, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Istituto Ortopedico Rizzoli, Bologna, Italy.
Front Bioeng Biotechnol. 2021 May 3;9:634327. doi: 10.3389/fbioe.2021.634327. eCollection 2021.
Osteoarthritis (OA) is an evolving disease and a major cause of pain and impaired mobility. A deeper understanding of cartilage metabolism in response to loading is critical to achieve greater insight into OA mechanisms. While physiological joint loading helps maintain cartilage integrity, reduced or excessive loading have catabolic effects. The main scope of this study is to present an original methodology potentially capable to elucidate the effect of cyclic joint loading on cartilage metabolism, to identify mechanisms involved in preventing or slowing down OA progression, and to provide preliminary data on its application. In the proposed protocol, the combination of biomechanical data and medical imaging are integrated with molecular information about chondrocyte mechanotransduction and tissue homeostasis. The protocol appears to be flexible and suitable to analyze human OA knee cartilage explants, with different degrees of degeneration, undergoing realistic cyclic joint loading estimated via gait analysis in patients simulating mild activities of daily living. The modulation of molecules involved in cartilage homeostasis, mechanotransduction, inflammation, pain and wound healing can be analyzed in chondrocytes and culture supernatants. A thorough analysis performed with the proposed methodology, combining functional biomechanical evaluations with molecular assessments is expected to provide new insights on the beneficial effects of physiological loading and contribute to the design and optimization of non-pharmacological treatments limiting OA progression.
骨关节炎(OA)是一种不断发展的疾病,是疼痛和行动能力受损的主要原因。深入了解软骨对负荷的代谢反应对于更深入了解骨关节炎机制至关重要。虽然生理性关节负荷有助于维持软骨完整性,但负荷减少或过度会产生分解代谢作用。本研究的主要范围是提出一种原创方法,该方法可能能够阐明周期性关节负荷对软骨代谢的影响,确定预防或减缓骨关节炎进展所涉及的机制,并提供其应用的初步数据。在所提出的方案中,生物力学数据和医学成像相结合,并与有关软骨细胞机械转导和组织稳态的分子信息整合在一起。该方案似乎具有灵活性,适合分析不同程度退变的人类骨关节炎膝关节软骨外植体,这些外植体在模拟轻度日常生活活动的患者中通过步态分析估计承受实际的周期性关节负荷。可以在软骨细胞和培养上清液中分析参与软骨稳态、机械转导、炎症、疼痛和伤口愈合的分子的调节情况。预计通过将功能生物力学评估与分子评估相结合的所提出方法进行的全面分析,将为生理性负荷的有益作用提供新的见解,并有助于设计和优化限制骨关节炎进展的非药物治疗方法。