Comparison of Human Long-Term Liver Models for Clearance Prediction of Slowly Metabolized Compounds.

Autor:	Preiss LC; 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.)., Georgi K; 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.)., Lauschke VM; 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.)., Petersson C; 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.) carl.petersson@merckgroup.com.
Jazyk:	angličtina
Zdroj:	Drug metabolism and disposition: the biological fate of chemicals [Drug Metab Dispos] 2024 May 16; Vol. 52 (6), pp. 539-547. Date of Electronic Publication: 2024 May 16.
DOI:	10.1124/dmd.123.001638
Abstrakt:	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 H µ rel 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. (Copyright © 2024 by The American Society for Pharmacology and Experimental Therapeutics.)
Databáze:	MEDLINE
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