Ferrao Blanco Mauricio N, Lesage Raphaelle, Kops Nicole, Fahy Niamh, Bekedam Fjodor T, Chavli Athina, Bastiaansen-Jenniskens Yvonne M, Geris Liesbet, Chambers Mark G, Pitsillides Andrew A, Narcisi Roberto, van Osch Gerjo J V M
Department of Orthopaedics and Sports Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands.
Prometheus, Division of Skeletal Tissue Engineering, KU Leuven, Belgium.
Heliyon. 2024 Dec 4;10(23):e40871. doi: 10.1016/j.heliyon.2024.e40871. eCollection 2024 Dec 15.
Low-grade inflammation and pathological endochondral ossification are key processes underlying the progression of osteoarthritis, the most prevalent joint disease worldwide. In this study, we employed a multi-faceted approach, integrating publicly available datasets, analyses, experiments and models to identify new therapeutic candidates targeting these processes. Data mining of transcriptomic datasets identified EPHA2, a receptor tyrosine kinase associated with cancer, as being linked to both inflammation and endochondral ossification in osteoarthritis. A computational model of cellular signaling networks in chondrocytes predicted that activation of EPHA2 in healthy chondrocytes increases inflammatory mediators and induces hypertrophic differentiation, a hallmark of endochondral ossification. We then evaluated the effect of EPHA2 inhibition using the tyrosine kinase inhibitor ALW-II-41-27 in cultured human chondrocytes from individuals with osteoarthritis, demonstrating significant reductions in both inflammation and hypertrophy. Additionally, systemic subcutaneous administration of ALW-II-41-27 in a mouse osteoarthritic model attenuated joint degeneration by reducing local inflammation and pathological endochondral ossification. Collectively, this study demonstrates a novel drug discovery pipeline that integrates computational, experimental, and animal models, paving the way for the development of disease-modifying treatments for osteoarthritis.
低度炎症和病理性软骨内成骨是骨关节炎进展的关键过程,骨关节炎是全球最常见的关节疾病。在本研究中,我们采用了多方面的方法,整合公开可用的数据集、分析、实验和模型,以识别针对这些过程的新治疗候选物。对转录组数据集进行数据挖掘发现,与癌症相关的受体酪氨酸激酶EPHA2与骨关节炎中的炎症和软骨内成骨均有关联。软骨细胞中细胞信号网络的计算模型预测,健康软骨细胞中EPHA2的激活会增加炎症介质并诱导肥大分化,这是软骨内成骨的一个标志。然后,我们使用酪氨酸激酶抑制剂ALW-II-41-27评估了对来自骨关节炎患者的培养人软骨细胞中EPHA2抑制的效果,结果表明炎症和肥大均显著减少。此外,在小鼠骨关节炎模型中全身皮下注射ALW-II-41-27可通过减轻局部炎症和病理性软骨内成骨来减轻关节退变。总体而言,本研究展示了一种整合计算、实验和动物模型的新型药物发现流程,为开发用于骨关节炎的疾病改善治疗方法铺平了道路。