Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden (L.C.P., V.M.L.); Department of Drug Metabolism and Pharmacokinetics (DMPK), The Healthcare Business of Merck KGaA, Darmstadt, Germany (L.C.P., K.G., C.P.); Dr. Margarete Fischer-Bosch Institute of Clinical Pharmacology, Stuttgart, Germany (V.M.L.); and University of Tuebingen, Tuebingen, Germany (V.M.L.).
Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden (L.C.P., V.M.L.); Department of Drug Metabolism and Pharmacokinetics (DMPK), The Healthcare Business of Merck KGaA, Darmstadt, Germany (L.C.P., K.G., C.P.); Dr. Margarete Fischer-Bosch Institute of Clinical Pharmacology, Stuttgart, Germany (V.M.L.); and University of Tuebingen, Tuebingen, Germany (V.M.L.)
Drug Metab Dispos. 2024 May 16;52(6):539-547. doi: 10.1124/dmd.123.001638.
The accurate prediction of human clearance is an important task during drug development. The proportion of low clearance compounds has increased in drug development pipelines across the industry since such compounds may be dosed in lower amounts and at lower frequency. These type of compounds present new challenges to in vitro systems used for clearance extrapolation. In this study, we compared the accuracy of clearance predictions of suspension culture to four different long-term stable in vitro liver models, including HepaRG sandwich culture, the Hrel stochastic co-culture, the Hepatopac micropatterned co-culture (MPCC), and a micro-array spheroid culture. Hepatocytes in long-term stable systems remained viable and active over several days of incubation. Although intrinsic clearance values were generally high in suspension culture, clearance of low turnover compounds could frequently not be determined using this method. Metabolic activity and intrinsic clearance values from HepaRG cultures were low and, consequently, many compounds with low turnover did not show significant decline despite long incubation times. Similarly, stochastic co-cultures occasionally failed to show significant turnover for multiple low and medium turnover compounds. Among the different methods, MPCCs and spheroids provided the most consistent measurements. Notably, all culture methods resulted in underprediction of clearance; this could, however, be compensated for by regression correction. Combined, the results indicate that spheroid culture as well as the MPCC system provide adequate in vitro tools for human extrapolation for compounds with low metabolic turnover. SIGNIFICANCE STATEMENT: In this study, we compared suspension cultures, HepaRG sandwich cultures, the Hµrel liver stochastic co-cultures, the Hepatopac micropatterned co-cultures (MPCC), and micro-array spheroid cultures for low clearance determination and prediction. Overall, HepaRG and suspension cultures showed modest value for the low determination and prediction of clearance compounds. The micro-array spheroid culture resulted in the most robust clearance measurements, whereas using the MPCC resulted in the most accurate prediction for low clearance compounds.
准确预测人体清除率是药物开发过程中的一项重要任务。自行业药物开发管道中的低清除化合物比例增加以来,此类化合物的剂量可能会更低,频率也会更低。这些类型的化合物给用于清除外推的体外系统带来了新的挑战。在这项研究中,我们比较了悬浮培养物对四种不同的长期稳定的体外肝脏模型(包括 HepaRG 三明治培养物、Hrel 随机共培养物、Hepatopac 微图案共培养物(MPCC)和微阵列球体培养物)的清除率预测的准确性。长期稳定系统中的肝细胞在数天的孵育过程中保持活力和活性。尽管悬浮培养物中的内在清除率通常较高,但使用这种方法通常无法确定低周转率化合物的清除率。HepaRG 培养物的代谢活性和内在清除率较低,因此,尽管孵育时间较长,但许多低周转率的化合物并没有显示出明显的下降。同样,随机共培养物偶尔也无法显示出多种低和中周转率化合物的显著周转率。在不同的方法中,MPCC 和球体提供了最一致的测量结果。值得注意的是,所有培养方法都导致清除率低估;然而,这可以通过回归校正来补偿。总的来说,这些结果表明,球体培养物以及 MPCC 系统为具有低代谢周转率的化合物提供了适当的体外外推工具。
在这项研究中,我们比较了悬浮培养物、HepaRG 三明治培养物、Hµrel 肝脏随机共培养物、Hepatopac 微图案共培养物(MPCC)和微阵列球体培养物,以确定和预测低清除率化合物。总体而言,HepaRG 和悬浮培养物在低清除率化合物的确定和预测方面显示出适度的价值。微阵列球体培养物导致最稳健的清除率测量,而使用 MPCC 则导致低清除率化合物最准确的预测。