Fäs Lola, Chen Minjun, Tong Weida, Wenz Friederike, Hewitt Nicola J, Tu Monika, Sanchez Katarzyna, Zapiórkowska-Blumer Natalia, Varga Hajnalka, Kaczmarska Karolina, Colombo Maria Vittoria, Filippi Bruno G H
InSphero AG, CH-8952 Schlieren, Switzerland.
Division of Bioinformatics and Biostatistics, National Center for Toxicological Research (NCTR), U.S. Food and Drug Administration, Jefferson, AR 72079, United States.
Toxicol Sci. 2025 Jan 1;203(1):79-87. doi: 10.1093/toxsci/kfae123.
Hepatotoxicity can lead to the discontinuation of approved or investigational drugs. The evaluation of the potential hepatoxicity of drugs in development is challenging because current models assessing this adverse effect are not always predictive of the outcome in human beings. Cell lines are routinely used for early hepatotoxicity screening, but to improve the detection of potential hepatotoxicity, in vitro models that better reflect liver morphology and function are needed. One such promising model is human liver microtissues. These are spheroids made of primary human parenchymal and nonparenchymal liver cells, which are amenable to high throughput screening. To test the predictivity of this model, the cytotoxicity of 152 FDA (US Food & Drug Administration)-approved small molecule drugs was measured as per changes in ATP content in human liver microtissues incubated in 384-well microplates. The results were analyzed with respect to drug label information, drug-induced liver injury (DILI) concern class, and drug class. The threshold IC50ATP-to-Cmax ratio of 176 was used to discriminate between safe and hepatotoxic drugs. "vMost-DILI-concern" drugs were detected with a sensitivity of 72% and a specificity of 89%, and "vMost-DILI-concern" drugs affecting the nervous system were detected with a sensitivity of 92% and a specificity of 91%. The robustness and relevance of this evaluation were assessed using a 5-fold cross-validation. The good predictivity, together with the in vivo-like morphology of the liver microtissues and scalability to a 384-well microplate, makes this method a promising and practical in vitro alternative to 2D cell line cultures for the early hepatotoxicity screening of drug candidates.
肝毒性可导致已批准或正在研究的药物停药。评估处于研发阶段药物的潜在肝毒性具有挑战性,因为目前评估这种不良反应的模型并不总是能预测人类的结果。细胞系常用于早期肝毒性筛查,但为了更好地检测潜在肝毒性,需要能更好反映肝脏形态和功能的体外模型。一种很有前景的模型是人类肝脏微组织。它们是由原代人肝脏实质细胞和非实质细胞组成的球体,适用于高通量筛选。为了测试该模型的预测能力,按照在384孔微孔板中培养的人类肝脏微组织中ATP含量的变化,测量了152种美国食品药品监督管理局(FDA)批准的小分子药物的细胞毒性。根据药物标签信息、药物性肝损伤(DILI)关注类别和药物类别对结果进行了分析。使用176的阈值IC50ATP与Cmax比值来区分安全药物和肝毒性药物。“高DILI关注”药物的检测灵敏度为72%,特异性为89%,影响神经系统的“高DILI关注”药物的检测灵敏度为92%,特异性为91%。使用5折交叉验证评估了该评估的稳健性和相关性。良好的预测能力,加上肝脏微组织类似体内的形态以及可扩展到384孔微孔板,使得该方法成为一种有前景且实用的体外替代方法,可用于候选药物早期肝毒性筛查,替代二维细胞系培养。