Functional Genomics, Medicinal Science and Technology, GlaxoSmithKline Research and Development, Stevenage, Herts SG1 2NY, United Kingdom.
Oncology Cell Therapy, Oncology Therapy Area, GlaxoSmithKline Research and Development, Stevenage, Herts SG1 2NY, United Kingdom.
Chem Res Toxicol. 2021 Dec 20;34(12):2485-2499. doi: 10.1021/acs.chemrestox.1c00227. Epub 2021 Nov 19.
Drug-induced liver injury is a leading cause of compound attrition during both preclinical and clinical drug development, and early strategies are in place to tackle this recurring problem. Human-relevant in vitro models that are more predictive of hepatotoxicity hazard identification, and that could be employed earlier in the drug discovery process, would improve the quality of drug candidate selection and help reduce attrition. We present an evaluation of four human hepatocyte in vitro models of increasing culture complexity (i.e., two-dimensional (2D) HepG2 monolayers, hepatocyte sandwich cultures, three-dimensional (3D) hepatocyte spheroids, and precision-cut liver slices), using the same tool compounds, viability end points, and culture time points. Having established the improved prediction potential of the 3D hepatocyte spheroid model, we describe implementing this model into an industrial screening setting, where the challenge was matching the complexity of the culture system with the scale and throughput required. Following further qualification and miniaturization into a 384-well, high-throughput screening format, data was generated on 199 compounds. This clearly demonstrated the ability to capture a greater number of severe hepatotoxins versus the current routine 2D HepG2 monolayer assay while continuing to flag no false-positive compounds. The industrialization and miniaturization of the 3D hepatocyte spheroid complex in vitro model demonstrates a significant step toward reducing drug attrition and improving the quality and safety of drugs, while retaining the flexibility for future improvements, and has replaced the routine use of the 2D HepG2 monolayer assay at GlaxoSmithKline.
药物性肝损伤是临床前和临床药物开发过程中化合物淘汰的主要原因,目前已经有早期策略来解决这一反复出现的问题。更能预测肝毒性危害的人类相关体外模型,以及能够在药物发现过程中更早采用的模型,将提高药物候选物选择的质量,并有助于减少淘汰。我们评估了四种体外人类肝细胞模型,这些模型的培养复杂性逐渐增加(即二维(2D)HepG2 单层、肝细胞三明治培养、三维(3D)肝细胞球体和精密切割肝切片),使用相同的工具化合物、生存能力终点和培养时间点。在确定了 3D 肝细胞球体模型具有更好的预测潜力后,我们描述了将该模型应用于工业筛选环境的情况,在这种环境下,挑战是使培养系统的复杂性与所需的规模和通量相匹配。在进一步进行资格认证和微型化为 384 孔高通量筛选格式后,对 199 种化合物生成了数据。这清楚地表明,与当前常规的 2D HepG2 单层测定相比,该模型能够捕获更多严重的肝毒素,同时继续标记没有假阳性化合物。3D 肝细胞球体复杂体外模型的工业化和微型化,朝着减少药物淘汰、提高药物质量和安全性的方向迈出了重要一步,同时保持了未来改进的灵活性,并已取代葛兰素史克公司常规使用的 2D HepG2 单层测定。