Thurston Arthritis Research Center, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America.
Center for Integrative Chemical and Biological Drug Discovery, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America.
PLoS One. 2024 Nov 1;19(11):e0308647. doi: 10.1371/journal.pone.0308647. eCollection 2024.
Osteoarthritis (OA) is the most common form of arthritis and a leading cause of pain and disability in adults. A central feature is progressive cartilage degradation and matrix fragment formation driven by the excessive production of matrix metalloproteinases (MMPs), such as MMP-13, by articular chondrocytes. Inflammatory factors, including interleukin 6 (IL-6), are secreted into the joint by synovial fibroblasts, and can contribute to pain and inflammation. No therapeutic exists that addresses the underlying loss of joint tissue in OA. To address this, we developed and utilized a cell-based high-throughput OA drug discovery platform using normal human chondrocytes treated with a recombinant fragment of the matrix protein fibronectin (FN-f) as a catabolic stimulus relevant to OA pathogenesis and a readout using a fluorescent MMP-13 responsive probe. The goal was to test this screening platform by identifying compounds that inhibited FN-f-induced MMP-13 production and determine if these compounds also inhibited catabolic signaling in OA chondrocytes and synovial fibroblasts. Two pilot screens of 1344 small molecules revealed five "hits" that strongly inhibited FN-f induced MMP-13 production with low cytotoxicity. These included RO-3306 (CDK1 inhibitor (i)), staurosporine (PKCi), trametinib (MEK1 and MEK2i), GSK-626616 (DYRK3i), and edicotinib (CSF-1Ri). Secondary testing using immunoblots and cells derived from OA joint tissues confirmed the ability of selected compounds to inhibit chondrocyte MMP-13 production and FN-f stimulated IL-6 production by synovial fibroblasts. These findings support the use of this high throughput screening assay for discovery of disease-modifying osteoarthritis drugs.
骨关节炎(OA)是最常见的关节炎类型,也是成年人疼痛和残疾的主要原因。其中心特征是软骨细胞过度产生基质金属蛋白酶(MMPs),如 MMP-13,导致进行性软骨降解和基质片段形成。包括白细胞介素 6(IL-6)在内的炎症因子由滑膜成纤维细胞分泌到关节中,并可能导致疼痛和炎症。目前尚无针对 OA 关节组织潜在损失的治疗方法。为了解决这个问题,我们开发并利用了一种基于细胞的高通量 OA 药物发现平台,使用经过重组纤维连接蛋白(FN-f)基质蛋白片段处理的正常人软骨细胞作为与 OA 发病机制相关的分解代谢刺激物,并使用荧光 MMP-13 反应探针作为读出信号。目标是通过鉴定抑制 FN-f 诱导的 MMP-13 产生的化合物来测试该筛选平台,并确定这些化合物是否也抑制 OA 软骨细胞和滑膜成纤维细胞的分解代谢信号。对 1344 种小分子进行的两次初步筛选发现了五个“命中物”,它们强烈抑制 FN-f 诱导的 MMP-13 产生,且细胞毒性低。这些化合物包括 RO-3306(CDK1 抑制剂(i))、司他泊汀(PKCi)、曲美替尼(MEK1 和 MEK2i)、GSK-626616(DYRK3i)和埃迪替尼(CSF-1Ri)。使用免疫印迹和源自 OA 关节组织的细胞进行的二次测试证实,选定的化合物能够抑制软骨细胞 MMP-13 的产生以及 FN-f 刺激的滑膜成纤维细胞中 IL-6 的产生。这些发现支持使用这种高通量筛选测定法来发现治疗骨关节炎的药物。