title: Utility of hepatocytes in predicting drug metabolism: comparison of hepatic intrinsic clearance in rats and humans in vivo and in vitro.
abstract: We investigated hepatic in vitro intrinsic clearance (CL(int,in vitro)) in freshly isolated or cryopreserved hepatocytes and compared with CL(int,in vivo) by using nine model compounds, FK1052, FK480, diazepam, diltiazem, troglitazone, quinotolast, FK079, zidovudine, and acetaminophen, in rats and humans. The compounds showed a broad range of in vivo hepatic extraction ratios (rat, 0.05-0.93; humans, 0.03-0.76) and were metabolized by hepatic P450, UDP-glucuronosyltransferase, sulfotransferase, and/or esterase. CL(int,in vitro) was determined from substrate disappearance rate at 1 microM in hepatocytes. CL(int,in vivo) was calculated from in vivo pharmacokinetic data using two frequently used mathematical models (the well stirred and dispersion models). When estimating rat CL(int,in vitro) in freshly isolated hepatocytes, the rat scaling factor values (CL(int,in vivo)/CL(int,in vitro)) showed marked difference among the model compounds (0.2-73.1-fold). The rat CL(int,in vitro) values in freshly isolated hepatocytes were in good agreement with these in cryopreserved hepatocytes. Human CL(int,in vitro) were determined by use of cryopreserved hepatocytes. When human CL(int,in vitro) was regarded as the predicted CL(int,in vivo), the observed and predicted CL(int,in vivo) for FK1052, FK480, troglitazone, and FK079 differed markedly (12.4-199.0-fold). In contrast, using human CL(int,in vitro) corrected with the rat scaling factors yielded better predictions of CL(int,in vivo) that were mostly within 5-fold of the actual values. These results make the evaluation using hepatocytes more useful and provide a basis for predicting hepatic clearance using hepatocytes.
authors.affiliation: Biopharmaceutical and Pharmacokinetic Research Laboratories, Fujisawa Pharmaceutical Co., Ltd., Osaka, Japan. yoichi_naritomi@po.fujisawa.co.jp
authors.forename: Yoichi
authors.initials: Y
authors.lastname: Naritomi
authors.forename: Shigeyuki
authors.initials: S
authors.lastname: Terashita
authors.forename: Akira
authors.initials: A
authors.lastname: Kagayama
authors.forename: Yuichi
authors.initials: Y
authors.lastname: Sugiyama
mesh_terms: D000082:Acetaminophen / Q000493:pharmacokinetics; D000818:Animals; D001570:Benzodiazepinones / Q000493:pharmacokinetics; D002839:Chromans / Q000493:pharmacokinetics; D015925:Cryopreservation; D003975:Diazepam / Q000493:pharmacokinetics; D004110:Diltiazem / Q000493:pharmacokinetics; D022781:Hepatocytes / Q000166:cytology / Q000378:metabolism*; D006801:Humans; D007093:Imidazoles / Q000493:pharmacokinetics; D066298:In Vitro Techniques; D007211:Indoles / Q000493:pharmacokinetics; D008657:Metabolic Clearance Rate; D011237:Predictive Value of Tests; D011807:Quinolizines / Q000493:pharmacokinetics; D051381:Rats; D015203:Reproducibility of Results; D013045:Species Specificity; D013777:Tetrazoles / Q000493:pharmacokinetics; D045162:Thiazolidinediones / Q000493:pharmacokinetics; D013997:Time Factors; D000077288:Troglitazone; D015215:Zidovudine / Q000493:pharmacokinetics
chemical_list: D001570:Benzodiazepinones; D002839:Chromans; D007093:Imidazoles; D007211:Indoles; D011807:Quinolizines; D013777:Tetrazoles; D045162:Thiazolidinediones; C081308:FK 1052; C082966:FR 120480; D000082:Acetaminophen; D015215:Zidovudine; D004110:Diltiazem; D000077288:Troglitazone; D003975:Diazepam; C074666:quinotolast