Abstract
The aim of this study was to evaluate a strategy based on a physiologically based pharmacokinetic (PBPK) model for the prediction of PK profiles in human using in vitro data when elimination of compounds relies on active transport processes. The strategy was first applied to rat in vivo and in vitro data in order to refine the PBPK model. The model could then be applied to human in vitro uptake transport data using valsartan as a probe substrate. Plated rat and human hepatocytes, and cell lines overexpressing human OATP1B1 and OATP1B3 were used for in vitro uptake experiments. The uptake rate of valsartan was higher for rat hepatocytes (K m,u = 28.4 ± 3.7 μM, V max = 1318 ± 176 pmol/mg/min and P dif = 1.21 ± 0.42 μl/mg/min) compared to human hepatocytes (K m,u = 44.4 ± 14.6 μM, V max = 304 ± 85 pmol/mg/min and P dif = 0.724 ± 0.271 μl/mg/min). OATP1B1 and 1B3 parameters were correlated to human hepatocyte data using experimentally established relative activity factors (RAF). Resulting PBPK simulations using those in vitro data were compared for plasma (human and rat) and bile (rat) concentration–time profiles following i.v. bolus administration of valsartan. An uncertainty analysis indicated that the scaled in vitro uptake clearance had to be adjusted with an additional empirical scaling factor of 5 to match the plasma concentrations and biliary excretion profiles. Applying this model, plasma clearances (CLP) for rat and human were predicted within two-fold relative to predictions based on respective in vitro data. The corrected hepatic uptake transport kinetic parameters enabled the prediction of valsartan in vivo PK profiles and plasma clearances, using PBPK modeling. Moreover, the interspecies difference in elimination rate observed in vivo was correctly reflected in the transport parameters determined in vitro. More data are needed to support more general applications of the proposed approach including its use for metabolized compounds.
Similar content being viewed by others
Abbreviations
- CLP (ml/min/kg):
-
Plasma clearance
- CLHP (ml/min/kg):
-
Plasma hepatic clearance \( {\text{CL}}_{\text{HP}} = {\text{CL}}_{\text{P}} \times f_{\text{bile}} \)
- CLRP (ml/min/kg):
-
Plasma renal clearance \( {\text{CL}}_{\text{RP}} = {\text{CL}}_{\text{P}} \times fe \)
- EHR:
-
Enterohepatic recirculation
- f bile :
-
Fraction of the dose excreted unchanged in bile
- fe :
-
Fraction of the dose excreted unchanged in urine
- fu p :
-
Fraction unbound in plasma
- HPGL:
-
Hepatocytes per gram of liver
- K m,u (μM):
-
Michaelis–Menten affinity constant unbound (I influx, E efflux)
- MTPMH:
-
mg of total protein per million hepatocytes
- mw (g/mol):
-
Molecular weight
- OATP:
-
Organic anion transporting peptide
- PBPK:
-
Physiologically based pharmacokinetic
- P dif (μl/min/mg):
-
Passive diffusion at the basolateral membrane determined in vitro (through CHO cells membrane \( \_{\text{CHO}} \) or human hepatocytes membrane \( \_{\text{HH}} \))
- RAF:
-
Relative activity factor
- R bp :
-
Blood-plasma ratio
- V max (pmol/min/mg):
-
Michaelis–Menten maximum velocity (I influx, E efflux)
- C int (μM):
-
Compound concentration in intracellular space in vitro
- C ex (μM):
-
Compound concentration in the medium in vitro
- f b :
-
Fraction non-specifically bound in the in vitro system
- V int (μl):
-
Intracellular volume of all cells in one well
- V ex (μl):
-
Volume of the incubation medium in vitro
- Cbi (μg/ml):
-
Blood concentration in (arterial) of tissue
- Cbo (μg/ml):
-
Blood concentration out (venous) of tissue
- C e (μg/ml):
-
Drug concentration in extracellular space (u = unbound) in vivo
- C t (μg/ml):
-
Drug concentration in intracellular space (u = unbound) in vivo
- fu inc :
-
Fraction unbound in the in vitro incubation
- fu L :
-
Fraction unbound in liver
- h :
-
Hematocrit
- J max (mg/s):
-
Michaelis–Menten maximum velocity scaled to in vivo (I influx, E efflux)
- Kp :
-
Partition coefficient
- Kp e :
-
Partition coefficient in extracellular space (L: in liver = in Disse space)
- M bile (μg):
-
Amount of drug cleared by biliary excretion
- PSTC (ml/s):
-
Permeability-surface area product at the basolateral membrane
- PSTCAp (ml/s):
-
Permeability-surface area product at the apical membrane
- Q L (ml/min/kg):
-
Liver blood flow
- V e (ml):
-
Extracellular volume fraction of tissue
- V P (ml):
-
Plasma volume
References
Parrott N, Jones H, Paquereau N, Lave T (2005) Application of full physiological models for pharmaceutical drug candidate selection and extrapolation of pharmacokinetics to man. Basic Clin Pharmacol Toxicol 96:193–199
Rostami-Hodjegan A, Tucker GT (2007) Simulation and prediction of in vivo drug metabolism in human populations from in vitro data. Nat Rev Drug Discov 6:140–148
Jones HM, Parrott N, Jorga K, Lave T (2006) A novel strategy for physiologically based predictions of human pharmacokinetics. Clin Pharmacokinet 45:511–542
Soars MG, Grime K, Sproston JL, Webborn PJ, Riley RJ (2007) Use of hepatocytes to assess the contribution of hepatic uptake to clearance in vivo. Drug Metab Dispos 35:859–865
Ito K, Houston JB (2004) Comparison of the use of liver models for predicting drug clearance using in vitro kinetic data from hepatic microsomes and isolated hepatocytes. Pharm Res 21:785–792
Riley RJ, McGinnity DF, Austin RP (2005) A unified model for predicting human hepatic, metabolic clearance from in vitro intrinsic clearance data in hepatocytes and microsomes. Drug Metab Dispos 33:1304–1311
McGinnity DF, Soars MG, Urbanowicz RA, Riley RJ (2004) Evaluation of fresh and cryopreserved hepatocytes as in vitro drug metabolism tools for the prediction of metabolic clearance. Drug Metab Dispos 32:1247–1253
Funk C (2008) The role of hepatic transporters in drug elimination. Expert Opin Drug Metab Toxicol 4:363–379
Evans AM (1996) Membrane transport as a determinant of the hepatic elimination of drugs and metabolites. Clin Exp Pharmacol Physiol 23:970–974
Yamazaki M, Suzuki H, Sugiyama Y (1996) Recent advances in carrier-mediated hepatic uptake and biliary excretion of xenobiotics. Pharm Res 13:497–513
Kivisto KT, Niemi M (2007) Influence of drug transporter polymorphisms on pravastatin pharmacokinetics in humans. Pharm Res 24:239–247
Poirier A, Lave T, Portmann R, Brun ME, Senner F, Kansy M, Grimm HP, Funk C (2008) Design, data analysis and simulation of in vitro drug transport kinetic experiments using a mechanistic in vitro model. Drug Metab Dispos 36:2434–2444
Poirier A, Funk C, Scherrmann JM, Lave T (2009) Mechanistic modelling of hepatic transport from cells to whole body: application to napsagatran and fexofenadine. Mol Pharm
Shitara Y, Sato H, Sugiyama Y (2005) Evaluation of drug-drug interaction in the hepatobiliary and renal transport of drugs. Annu Rev Pharmacol Toxicol 45:689–723
Paine SW, Parker AJ, Gardiner P, Webborn PJ, Riley RJ (2008) Prediction of the pharmacokinetics of atorvastatin, cerivastatin, and indomethacin using kinetic models applied to isolated rat hepatocytes. Drug Metab Dispos 36:1365–1374
Wu CY, Benet LZ (2005) Predicting drug disposition via application of BCS: transport/absorption/elimination interplay and development of a biopharmaceutics drug disposition classification system. Pharm Res 22:11–23
Fukuda H, Ohashi R, Tsuda-Tsukimoto M, Tamai I (2008) Effect of plasma protein binding on in vitro-in vivo correlation of biliary excretion of drugs evaluated by sandwich-cultured rat hepatocytes. Drug Metab Dispos 36:1275–1282
Waldmeier F, Flesch G, Muller P, Winkler T, Kriemler HP, Buhlmayer P, De Gasparo M (1997) Pharmacokinetics, disposition and biotransformation of [14C]-radiolabelled valsartan in healthy male volunteers after a single oral dose. Xenobiotica 27:59–71
Markham A, Goa KL (1997) Valsartan. A review of its pharmacology and therapeutic use in essential hypertension. Drugs 54:299–311
Yamashiro W, Maeda K, Hirouchi M, Adachi Y, Hu Z, Sugiyama Y (2006) Involvement of transporters in the hepatic uptake and biliary excretion of valsartan, a selective antagonist of the Angiotensin II AT1-receptor, in humans. Drug Metab Dispos 34:1247–1254
Flesch G, Muller P, Lloyd P (1997) Absolute bioavailability and pharmacokinetics of valsartan, an angiotensin II receptor antagonist, in man. Eur J Clin Pharmacol 52:115–120
Ries J, Wienen W (2003) Serine proteases as targets for antithrombotic therapy. Drugs Future 28:355–370
Noe J, Portmann R, Brun ME, Funk C (2007) Substrate dependent drug-drug interactions between gemfibrozil, fluvastatin and other Oatp substrates on Oatp1b1, Oatp2b1 and Oatp1b3. Drug Metab Dispos 35:1308–1314
Luttringer O, Theil FP, Lave T, Wernli-Kuratli K, Guentert TW, de Saizieu A (2002) Influence of isolation procedure, extracellular matrix and dexamethasone on the regulation of membrane transporters gene expression in rat hepatocytes. Biochem Pharmacol 64:1637–1650
Blanchard N, Richert L, Notter B, Delobel F, David P, Coassolo P, Lave T (2004) Impact of serum on clearance predictions obtained from suspensions and primary cultures of rat hepatocytes. Eur J Pharm Sci 23:189–199
Seglen PO (1979) Hepatocyte suspensions and cultures as tools in experimental carcinogenesis. J Toxicol Environ Health 5:551–560
Strelevitz TJ, Foti RS, Fisher MB (2006) In vivo use of the P450 inactivator 1-aminobenzotriazole in the rat: varied dosing route to elucidate gut and liver contributions to first-pass and systemic clearance. J Pharm Sci 95:1334–1341
Reinoso RF, Telfer BA, Brennan BS, Rowland M (2001) Uptake of teicoplanin by isolated rat hepatocytes: comparison with in vivo hepatic distribution. Drug Metab Dispos 29:453–459
Rowland M, Tozer TN (1995) Clinical pharmacokinetics: concepts and applications, 3rd edn. W. Wilkins, Philadelphia, PA
Fagerholm U (2008) Prediction of human pharmacokinetics-biliary and intestinal clearance and enterohepatic circulation. J Pharm Pharmacol 60:535–542
Keppler D, Arias IM (1997) Hepatic canalicular membrane. Introduction: transport across the hepatocyte canalicular membrane. FASEB J 11:15–18
Meier PJ, Sztul ES, Reuben A, Boyer JL (1984) Structural and functional polarity of canalicular and basolateral plasma membrane vesicles isolated in high yield from rat liver. J Cell Biol 98:991–1000
Yang J, Jamei M, Yeo KR, Rostami-Hodjegan A, Tucker GT (2007) Misuse of the well-stirred model of hepatic drug clearance. Drug Metab Dispos 35:501–502
Gabrielsson J, Weiner D (2006) Pharmacokinetic and pharmacodynamic data analysis: concept and applications, 4th edn. S.P. Society, Stockholm, Sweden
Rodgers T, Rowland M (2006) Physiologically based pharmacokinetic modelling 2: predicting the tissue distribution of acids, very weak bases, neutrals and zwitterions. J Pharm Sci 95:1238–1257
Rodgers T, Leahy D, Rowland M (2005) Physiologically based pharmacokinetic modeling 1: predicting the tissue distribution of moderate-to-strong bases. J Pharm Sci 94:1259–1276
Poulin P, Theil FP (2002) Prediction of pharmacokinetics prior to in vivo studies. 1. Mechanism-based prediction of volume of distribution. J Pharm Sci 91:129–156
Carlile DJ, Zomorodi K, Houston JB (1997) Scaling factors to relate drug metabolic clearance in hepatic microsomes, isolated hepatocytes, and the intact liver: studies with induced livers involving diazepam. Drug Metab Dispos 25:903–911
Krishnamurthy GT, Krishnamurthy S (2002) Hepatic bile entry into and transit pattern within the gallbladder lumen: a new quantitative cholescintigraphic technique for measurement of its concentration function. J Nucl Med 43:901–908
Colussi DM, Parisot C, Rossolino ML, Brunner LA, Lefevre GY (1997) Protein binding in plasma of valsartan, a new angiotensin II receptor antagonist. J Clin Pharmacol 37:214–221
Pahlman I, Andersson S, Gunnarsson K, Odell ML, Wilen M (1999) Extensive biliary excretion of the sulfasalazine analogue, susalimod, but different concentrations in the bile duct in various animal species correlating to species-specific hepatobiliary toxicity. Pharmacol Toxicol 85:123–129
Lave T, Portmann R, Schenker G, Gianni A, Guenzi A, Girometta MA, Schmitt M (1999) Interspecies pharmacokinetic comparisons and allometric scaling of napsagatran, a low molecular weight thrombin inhibitor. J Pharm Pharmacol 51:85–91
Mahmood I, Sahajwalla C (2002) Interspecies scaling of biliary excreted drugs. J Pharm Sci 91:1908–1914
Lin JH (1995) Species similarities and differences in pharmacokinetics. Drug Metab Dispos 23:1008–1021
Shilling AD, Azam F, Kao J, Leung L (2006) Use of canalicular membrane vesicles (CMVs) from rats, dogs, monkeys and humans to assess drug transport across the canalicular membrane. J Pharmacol Toxicol Methods 53:186–197
Li N, Zhang Y, Hua F, Lai Y (2009) Absolute difference of hepatobiliary transporter multidrug resistance-associated protein (MRP2/Mrp2) in liver tissues and isolated hepatocytes from rat, dog, monkey, and human. Drug Metab Dispos 37:66–73
Rippin SJ, Hagenbuch B, Meier PJ, Stieger B (2001) Cholestatic expression pattern of sinusoidal and canalicular organic anion transport systems in primary cultured rat hepatocytes. Hepatology 33:776–782
Turncliff RZ, Tian X, Brouwer KL (2006) Effect of culture conditions on the expression and function of Bsep, Mrp2, and Mdr1a/b in sandwich-cultured rat hepatocytes. Biochem Pharmacol 71:1520–1529
Lave T, Parrott N, Grimm HP, Fleury A, Reddy M (2007) Challenges and opportunities with modelling and simulation in drug discovery and drug development. Xenobiotica 37:1295–1310
Naritomi Y, Terashita S, Kagayama A, Sugiyama Y (2003) Utility of hepatocytes in predicting drug metabolism: comparison of hepatic intrinsic clearance in rats and humans in vivo and in vitro. Drug Metab Dispos 31:580–588
Kitamura S, Maeda K, Sugiyama Y (2008) Recent progresses in the experimental methods and evaluation strategies of transporter functions for the prediction of the pharmacokinetics in humans. Naunyn Schmiedebergs Arch Pharmacol 377(4–6):617–628
Kamiie J, Ohtsuki S, Iwase R, Ohmine K, Katsukura Y, Yanai K, Sekine Y, Uchida Y, Ito S, Terasaki T (2008) Quantitative atlas of membrane transporter proteins: development and application of a highly sensitive simultaneous LC/MS/MS method combined with novel in-silico peptide selection criteria. Pharm Res 25:1469–1483
Liu X, Chism JP, LeCluyse EL, Brouwer KR, Brouwer KL (1999) Correlation of biliary excretion in sandwich-cultured rat hepatocytes and in vivo in rats. Drug Metab Dispos 27:637–644
Ghibellini G, Vasist LS, Leslie EM, Heizer WD, Kowalsky RJ, Calvo BF, Brouwer KL (2007) In vitro-in vivo correlation of hepatobiliary drug clearance in humans. Clin Pharmacol Ther 81:406–413
Abe K, Bridges AS, Yue W, Brouwer KL (2008) In vitro biliary clearance of angiotensin II receptor blockers and 3-hydroxy-3-methylglutaryl-coenzyme A reductase inhibitors in sandwich-cultured rat hepatocytes: comparison with in vivo biliary clearance. J Pharmacol Exp Ther 326:983–990
Venkatakrishnan K, von Moltke LL, Court MH, Harmatz JS, Crespi CL, Greenblatt DJ (2000) Comparison between cytochrome P450 (CYP) content and relative activity approaches to scaling from cDNA-expressed CYPs to human liver microsomes: ratios of accessory proteins as sources of discrepancies between the approaches. Drug Metab Dispos 28:1493–1504
Maeda K, Ieiri I, Yasuda K, Fujino A, Fujiwara H, Otsubo K, Hirano M, Watanabe T, Kitamura Y, Kusuhara H, Sugiyama Y (2006) Effects of organic anion transporting polypeptide 1B1 haplotype on pharmacokinetics of pravastatin, valsartan, and temocapril. Clin Pharmacol Ther 79:427–439
Hagenbuch B, Gui C (2008) Xenobiotic transporters of the human organic anion transporting polypeptides (OATP) family. Xenobiotica 38:778–801
Houston JB (1994) Utility of in vitro drug metabolism data in predicting in vivo metabolic clearance. Biochem Pharmacol 47:1469–1479
Parrott N, Paquereau N, Coassolo P, Lave T (2005) An evaluation of the utility of physiologically based models of pharmacokinetics in early drug discovery. J Pharm Sci 94:2327–2343
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Poirier, A., Cascais, AC., Funk, C. et al. Prediction of pharmacokinetic profile of valsartan in human based on in vitro uptake transport data. J Pharmacokinet Pharmacodyn 36, 585–611 (2009). https://doi.org/10.1007/s10928-009-9139-3
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10928-009-9139-3