Stemina Biomarker Discovery, Inc, Madison, Wisconsin.
UCB Biopharma SPRL, Investigative Toxicology, Development Science, B-1420 Braine L'Alleud, Belgium.
Toxicol Sci. 2020 Apr 1;174(2):218-240. doi: 10.1093/toxsci/kfaa015.
Implementing screening assays that identify functional and structural cardiotoxicity earlier in the drug development pipeline has the potential to improve safety and decrease the cost and time required to bring new drugs to market. In this study, a metabolic biomarker-based assay was developed that predicts the cardiotoxicity potential of a drug based on changes in the metabolism and viability of human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CM). Assay development and testing was conducted in 2 phases: (1) biomarker identification and (2) targeted assay development. In the first phase, metabolomic data from hiPSC-CM spent media following exposure to 66 drugs were used to identify biomarkers that identified both functional and structural cardiotoxicants. Four metabolites that represent different metabolic pathways (arachidonic acid, lactic acid, 2'-deoxycytidine, and thymidine) were identified as indicators of cardiotoxicity. In phase 2, a targeted, exposure-based biomarker assay was developed that measured these metabolites and hiPSC-CM viability across an 8-point concentration curve. Metabolite-specific predictive thresholds for identifying the cardiotoxicity potential of a drug were established and optimized for balanced accuracy or sensitivity. When predictive thresholds were optimized for balanced accuracy, the assay predicted the cardiotoxicity potential of 81 drugs with 86% balanced accuracy, 83% sensitivity, and 90% specificity. Alternatively, optimizing the thresholds for sensitivity yields a balanced accuracy of 85%, 90% sensitivity, and 79% specificity. This new hiPSC-CM-based assay provides a paradigm that can identify structural and functional cardiotoxic drugs that could be used in conjunction with other endpoints to provide a more comprehensive evaluation of a drug's cardiotoxicity potential.
实施能够更早识别药物研发管道中功能性和结构性心脏毒性的筛选检测方法,有可能提高安全性,并降低将新药推向市场所需的成本和时间。在这项研究中,开发了一种基于代谢生物标志物的检测方法,该方法基于人诱导多能干细胞衍生的心肌细胞(hiPSC-CM)代谢和活力的变化来预测药物的心脏毒性潜力。检测方法的开发和测试分为两个阶段:(1)生物标志物的鉴定和(2)目标检测方法的开发。在第一阶段,使用暴露于 66 种药物后的 hiPSC-CM 耗竭培养基中的代谢组学数据,鉴定可识别功能性和结构性心脏毒性药物的生物标志物。鉴定出 4 种代谢物作为心脏毒性的标志物,它们代表了不同的代谢途径(花生四烯酸、乳酸、2'-脱氧胞苷和胸苷)。在第二阶段,开发了一种基于暴露的靶向代谢生物标志物检测方法,该方法测量了这些代谢物和 hiPSC-CM 活力在 8 个浓度点曲线上的变化。为了平衡准确性或敏感性,建立了用于识别药物心脏毒性潜力的代谢物特异性预测阈值,并对其进行了优化。当预测阈值优化为平衡准确性时,该检测方法可预测 81 种药物的心脏毒性潜力,准确率为 86%,灵敏度为 83%,特异性为 90%。或者,优化灵敏度的阈值可产生 85%的平衡准确性、90%的灵敏度和 79%的特异性。这种新的基于 hiPSC-CM 的检测方法提供了一种范例,可以识别结构和功能心脏毒性药物,可与其他终点结合使用,以更全面地评估药物的心脏毒性潜力。