Abstract
OBJECTIVE: This study aims to tackle the existing challenges associated with the prediction and optimization of pharmaceutical interventions for osteoarthritis (OA). The primary objective is to develop an innovative tool that provides objective and patient-specific information regarding the most affected tissue in OA, articular cartilage. DESIGN: We employed an organ-on-a-chip (OoC) approach to replicate the 3D structure of cartilage in an in vitro setup. The study focused on assessing the individual drug responses of common medications using this innovative platform. Additionally, we conducted a biomarker analysis to gain insights into the variability of drug responses across patients. RESULTS: Our findings reveal that OA articular cartilage demonstrates an individualized response to pharmaceutical interventions. Despite the diverse nature of patient responses, our study indicates that Triamcinolone, a standard-of-care medication, consistently exhibits a robust anti-inflammatory response across patient tests. However, as seen in clinical studies, Triamcinolone was concurrently associated with degeneration. The biomarker analysis further underscores the importance of considering individual drug responses in developing effective treatment plans. CONCLUSION: In conclusion, this study introduces a valuable tool that not only mimics the 3D structure of cartilage but also provides crucial insights into the individualized responses of patients to various OA treatments. The application of an OoC approach may allow for a more accurate assessment of treatment efficacy. This objective biomarker analysis on patient-specific tissue offers clinicians a means to tailor treatment plans, thereby minimizing joint damage and advancing toward a more personalized approach in OA management.