一个新的肝类组织模型利用病人衍生的干细胞和免疫细胞预测药物引起的免疫毒性,比动物试验或细胞培养更准确。 A new liver organoid model predicts drug-induced immune toxicity more accurately than animal tests or cell cultures, using patient-derived stem and immune cells.

Cincinnati儿童医院和Roche的研究人员开发的一个新的人类肝脏有机体平台可以比动物试验或传统细胞培养物更准确地预测与免疫有关的药物毒性。 A new human liver organoid platform developed by researchers at Cincinnati Children’s Hospital and Roche can predict immune-related drug toxicity more accurately than animal testing or traditional cell cultures. 该模型利用干细胞和病人自己的免疫细胞,模仿人类肝脏反应,包括罕见的遗传风险,如与氟氯氰素引起的肝损伤有关的遗传风险。 Using stem cells and a patient’s own immune cells, the model mimics human liver responses, including rare genetic risks like those linked to flucloxacillin-induced liver injury. 该系统早期发现危险的免疫反应,有可能改善药物安全,降低开发成本,推进个性化药物。 The system detects dangerous immune reactions early, potentially improving drug safety, reducing development costs, and advancing personalized medicine.