Skip to main content
Erschienen in: Drug Safety 11/2009

01.11.2009 | Review Article

Predicting the Clinical Relevance of Drug Interactions From Pre-Approval Studies

verfasst von: Silvio Caccia, Silvio Garattini, Luca Pasina, Dr Alessandro Nobili

Erschienen in: Drug Safety | Ausgabe 11/2009

Einloggen, um Zugang zu erhalten

Abstract

Drug interactions (DIs) may result in adverse drug events that could be prevented, but in many cases the available information on potential DIs is not easily transferable to clinical practice. The majority of studies date from preclinical or premarketing phases, using animals or human-derived sources that may not accurately reflect the growing clinical complexity of high-risk populations, such as the elderly, women, children, patients with chronic disease, polytherapy and impaired organ functions. Thus, at the time of approval of a new drug the information in the summary of product characteristics refers to potential DIs, but lacks specific management recommendations and is of limited clinical utility.
Therefore, we set out to review in vitro and in vivo methods to predict and quantify potential DIs, to see whether these studies could help the physician tackle daily problems of the assessment and choice of combined drug therapies, and to propose, from a clinical point of view, how premarketing studies could be improved so as to help the physician at the patient’s bedside.
Preclinical and premarketing study design needs to be improved to make information easily accessible and clinically transferable. Studies should also take into account appropriate sample size, duration, co-morbidity, number of coadministered drugs, within-and between-subject variability, specific at-risk populations and/or drugs with a relatively narrow therapeutic window, and clinical endpoints. After premarketing development in situations where there is potential high risk of serious adverse events, specific phase IV studies (and/or active pharmacovigilance studies) should be required to monitor and quantitatively assess their clinical impact.
Literatur
1.
Zurück zum Zitat Glasshuman PA, Simin B, Belperio P, et al. Improving recognition of drug interactions: benefits and barriers to using automated drug alerts. Med Care 2002; 40: 1161–71 Glasshuman PA, Simin B, Belperio P, et al. Improving recognition of drug interactions: benefits and barriers to using automated drug alerts. Med Care 2002; 40: 1161–71
2.
Zurück zum Zitat Kuhlhumann J, Muck W. Clinical-pharmacological strategies to assess drug interaction potential during drug development. Drug Saf 2001; 24: 715–25 Kuhlhumann J, Muck W. Clinical-pharmacological strategies to assess drug interaction potential during drug development. Drug Saf 2001; 24: 715–25
3.
Zurück zum Zitat Kraft WK, Waldam SA. Humanufacturer’s drug interaction and postmarketing adverse event data. What are appropriate uses? Drug Saf 2001; 24: 637–43 Kraft WK, Waldam SA. Humanufacturer’s drug interaction and postmarketing adverse event data. What are appropriate uses? Drug Saf 2001; 24: 637–43
4.
Zurück zum Zitat Giacomini KM. When good drugs go bad. Nature 2007; 446: 975–7PubMed Giacomini KM. When good drugs go bad. Nature 2007; 446: 975–7PubMed
6.
Zurück zum Zitat González MA, Estes KS. Pharmacokinetic overview of oral second-generation H1 antihistamines. Int J Clin Pharmacol Ther 1998 May; 36(5): 292–300PubMed González MA, Estes KS. Pharmacokinetic overview of oral second-generation H1 antihistamines. Int J Clin Pharmacol Ther 1998 May; 36(5): 292–300PubMed
7.
Zurück zum Zitat Backhuman JT, Kyrklund C, Neuvonen M, et al. Gemfibrozil greatly increases plasma concentrations of cerivastatin. Clin Pharmacol Ther 2002; 72(6): 685–91 Backhuman JT, Kyrklund C, Neuvonen M, et al. Gemfibrozil greatly increases plasma concentrations of cerivastatin. Clin Pharmacol Ther 2002; 72(6): 685–91
8.
Zurück zum Zitat Graham DJ, Staffa JA, Shatin D, et al. Incidence of hospitalized rhabdomyolysis in patients treated with lipid-lowering drugs. JAMA 2004; 292: 2585–90PubMed Graham DJ, Staffa JA, Shatin D, et al. Incidence of hospitalized rhabdomyolysis in patients treated with lipid-lowering drugs. JAMA 2004; 292: 2585–90PubMed
9.
Zurück zum Zitat Wysowski DK, Corken A, Gallo-Torres H, et al. Postmarketing reports of QT prolongation and ventricular arrhythmia in association with cisapride and Food and Drug Administration regulatory actions. Am J Gastroenterol 2001; 96(6): 1698–703PubMed Wysowski DK, Corken A, Gallo-Torres H, et al. Postmarketing reports of QT prolongation and ventricular arrhythmia in association with cisapride and Food and Drug Administration regulatory actions. Am J Gastroenterol 2001; 96(6): 1698–703PubMed
10.
Zurück zum Zitat SoRelle R. Withdrawal of Posicor from market. Circulation 1998; 98(9): 831–2PubMed SoRelle R. Withdrawal of Posicor from market. Circulation 1998; 98(9): 831–2PubMed
11.
Zurück zum Zitat Backhuman JT, Wang JS, Wen X, et al. Mibefradil but not isradipine substantially elevates the plasma concentrations of the CYP3A4 substrate triazolam. Clin Pharmacol Ther 1999; 66(4): 401–7 Backhuman JT, Wang JS, Wen X, et al. Mibefradil but not isradipine substantially elevates the plasma concentrations of the CYP3A4 substrate triazolam. Clin Pharmacol Ther 1999; 66(4): 401–7
12.
Zurück zum Zitat Vazquez E, Whitfield L. Seldane warnings. Posit Aware 1997; 8(6): 12 Vazquez E, Whitfield L. Seldane warnings. Posit Aware 1997; 8(6): 12
13.
Zurück zum Zitat Lin JH. Sense and nonsense in the prediction of drug-drug interactions. Curr Drug Metab 2000; 1(4): 305–31PubMed Lin JH. Sense and nonsense in the prediction of drug-drug interactions. Curr Drug Metab 2000; 1(4): 305–31PubMed
14.
Zurück zum Zitat Bjerrum L, Andersen M, Petersen G, et al. Exposure to potential drug interactions in primary health care. Scand J Prim Health Care 2003; 21: 153–8PubMed Bjerrum L, Andersen M, Petersen G, et al. Exposure to potential drug interactions in primary health care. Scand J Prim Health Care 2003; 21: 153–8PubMed
15.
Zurück zum Zitat Boyd CM, Darer J, Boult C, et al. Clinical practice guidelines and quality of care for older patients with multiple comorbid diseases: implications for pay for perforhumance. JAMA 2005; 294: 716–24PubMed Boyd CM, Darer J, Boult C, et al. Clinical practice guidelines and quality of care for older patients with multiple comorbid diseases: implications for pay for perforhumance. JAMA 2005; 294: 716–24PubMed
16.
Zurück zum Zitat Gagne JJ, Maio V, Rabinowitz C. Prevalence and prediction of potential drug-drug interactions in Regione Emilia-Romagna, Italy. J Clin Pharm Ther 2008; 33: 141–51PubMed Gagne JJ, Maio V, Rabinowitz C. Prevalence and prediction of potential drug-drug interactions in Regione Emilia-Romagna, Italy. J Clin Pharm Ther 2008; 33: 141–51PubMed
17.
Zurück zum Zitat Becker ML, Kallewaard M, Caspers PW, et al. Hospitalisations and emergency department visits due to drug-drug interactions: a literature review. Pharmacoepidemiol Drug Saf 2007; 16(6): 641–51PubMed Becker ML, Kallewaard M, Caspers PW, et al. Hospitalisations and emergency department visits due to drug-drug interactions: a literature review. Pharmacoepidemiol Drug Saf 2007; 16(6): 641–51PubMed
18.
Zurück zum Zitat Juurlink DN, Mamdani M, Kopp A, et al. Drug-drug interactions among elderly patients hospitalized for drug toxicity. JAMA 2003; 289(13): 1652–8PubMed Juurlink DN, Mamdani M, Kopp A, et al. Drug-drug interactions among elderly patients hospitalized for drug toxicity. JAMA 2003; 289(13): 1652–8PubMed
19.
Zurück zum Zitat Ingelhuman-Sundberg M. Genetic susceptibility to adverse effects of drugs and environmental toxicants: the role of the CYP family of enzymes. Mutat Res 2001; 482(1-2): 11–9 Ingelhuman-Sundberg M. Genetic susceptibility to adverse effects of drugs and environmental toxicants: the role of the CYP family of enzymes. Mutat Res 2001; 482(1-2): 11–9
20.
Zurück zum Zitat Alfaro CL. Emerging role of drug interaction studies in drug development: the good, the bad, and the unknown. Psychopharmacol Bull 2001; 35: 80–93PubMed Alfaro CL. Emerging role of drug interaction studies in drug development: the good, the bad, and the unknown. Psychopharmacol Bull 2001; 35: 80–93PubMed
22.
Zurück zum Zitat European Agency for the Evaluation of Medicinal Products (EMEA), Human Medicines Evaluation Unit. Committee for Proprietary Medicinal Products (CPMP). Note for guidance on the investigation of drug interactions. London: EMEA, 1998. CPMP/EWP/560/95 European Agency for the Evaluation of Medicinal Products (EMEA), Human Medicines Evaluation Unit. Committee for Proprietary Medicinal Products (CPMP). Note for guidance on the investigation of drug interactions. London: EMEA, 1998. CPMP/EWP/560/95
23.
Zurück zum Zitat US Food and Drug Administration (FDA). Guidance for industry. In vivo drug metabolism/drug interaction studies: study design, data analysis, and recommendations for dosing and labeling. Rockville (MD): US Food and Drug Administration, 1999 Nov: 1–16 US Food and Drug Administration (FDA). Guidance for industry. In vivo drug metabolism/drug interaction studies: study design, data analysis, and recommendations for dosing and labeling. Rockville (MD): US Food and Drug Administration, 1999 Nov: 1–16
24.
Zurück zum Zitat Dresser GK, Spence JD, Bailey DG. Pharmacokinetic-pharmacodynamic consequences and clinical relevance of cytochrome P4503A4 inhibition. Clin Pharmacokinet 2000; 38: 41–57PubMed Dresser GK, Spence JD, Bailey DG. Pharmacokinetic-pharmacodynamic consequences and clinical relevance of cytochrome P4503A4 inhibition. Clin Pharmacokinet 2000; 38: 41–57PubMed
25.
Zurück zum Zitat Venkatakrishnan K, Von Moltke LL, Greenblatt DJ. Human drug metabolism and the cytochromes P450: application and relevance of in vitro models. J Clin Pharmacol 2001; 41(11): 1149–79PubMed Venkatakrishnan K, Von Moltke LL, Greenblatt DJ. Human drug metabolism and the cytochromes P450: application and relevance of in vitro models. J Clin Pharmacol 2001; 41(11): 1149–79PubMed
26.
Zurück zum Zitat Atuah KN, Hughes D, Pirmohamed M. Clinical pharmacology: special safety considerations in drug development and pharmacovigilance. Drug Saf 2004; 27: 535–54PubMed Atuah KN, Hughes D, Pirmohamed M. Clinical pharmacology: special safety considerations in drug development and pharmacovigilance. Drug Saf 2004; 27: 535–54PubMed
27.
Zurück zum Zitat Wienkers LC, Heath TG. Predicting in vivo drug interactions from in vitro drug discovery data. Nat Rev Drug Discov 2005; 4(10): 825–33PubMed Wienkers LC, Heath TG. Predicting in vivo drug interactions from in vitro drug discovery data. Nat Rev Drug Discov 2005; 4(10): 825–33PubMed
28.
Zurück zum Zitat Bergk V, Haefeli WE, Gasse C, et al. Information deficits in the summary of product characteristics preclude an optimal humanagement of drug interactions: a comparison with evidence from literature. Eur J Clin Pharmacol 2005; 61: 327–35PubMed Bergk V, Haefeli WE, Gasse C, et al. Information deficits in the summary of product characteristics preclude an optimal humanagement of drug interactions: a comparison with evidence from literature. Eur J Clin Pharmacol 2005; 61: 327–35PubMed
29.
Zurück zum Zitat Bergk V, Gasse C, Rothenbacher D, et al. Drug interaction in primary care: impact of a new algorithm on risk determination. Clin Pharmacol Ther 2004; 76: 85–96PubMed Bergk V, Gasse C, Rothenbacher D, et al. Drug interaction in primary care: impact of a new algorithm on risk determination. Clin Pharmacol Ther 2004; 76: 85–96PubMed
30.
Zurück zum Zitat Blix HS, Viktil KK, Moger TA, et al. Identification of drug interactions in hospitals: computerized screening vs bedside recording. J Clin Parm Therapeutics 2008; 33: 131–9 Blix HS, Viktil KK, Moger TA, et al. Identification of drug interactions in hospitals: computerized screening vs bedside recording. J Clin Parm Therapeutics 2008; 33: 131–9
31.
Zurück zum Zitat Hohl CM, Dankoff J, Colacone A, et al. Polypharmacy, adverse drug-related events, and potential adverse drug interactions in elderly patients presenting to an emergency department. Ann Emerg Med 2001; 38: 666–71PubMed Hohl CM, Dankoff J, Colacone A, et al. Polypharmacy, adverse drug-related events, and potential adverse drug interactions in elderly patients presenting to an emergency department. Ann Emerg Med 2001; 38: 666–71PubMed
32.
Zurück zum Zitat Gurwitz JH. Polypharmacy: a new paradigm for quality drug therapy in the elderly. Arch Intern Med 2004; 164: 1957–9PubMed Gurwitz JH. Polypharmacy: a new paradigm for quality drug therapy in the elderly. Arch Intern Med 2004; 164: 1957–9PubMed
33.
Zurück zum Zitat Trifirò G, Corrao S, Alacqua M, et al. Interaction risk with proton pump inhibitors in general practice: significant disagreement between different drug-related information sources. Br J Clin Pharmacol 2006; 62: 582–90PubMed Trifirò G, Corrao S, Alacqua M, et al. Interaction risk with proton pump inhibitors in general practice: significant disagreement between different drug-related information sources. Br J Clin Pharmacol 2006; 62: 582–90PubMed
34.
Zurück zum Zitat Mallet L, Spinewine A, Huang A. The challenge of humanaging drug interactions in elderly people. Lancet 2007; 370: 185–91PubMed Mallet L, Spinewine A, Huang A. The challenge of humanaging drug interactions in elderly people. Lancet 2007; 370: 185–91PubMed
35.
Zurück zum Zitat Fuhr U. Improvement in the handling of drug-drug interactions. Eur J Clin Pharmacol 2008; 64: 167–71PubMed Fuhr U. Improvement in the handling of drug-drug interactions. Eur J Clin Pharmacol 2008; 64: 167–71PubMed
36.
Zurück zum Zitat Lin JH. CYP induction-mediated drug interactions: in vitro assessment and clinical implications. Pharm Res 2006; 23(6): 1089–116PubMed Lin JH. CYP induction-mediated drug interactions: in vitro assessment and clinical implications. Pharm Res 2006; 23(6): 1089–116PubMed
37.
Zurück zum Zitat DuBuske LM. The role of P-glycoprotein and organic anion-transporting polypeptides in drug interactions. Drug Saf 2005; 28(9): 789–801PubMed DuBuske LM. The role of P-glycoprotein and organic anion-transporting polypeptides in drug interactions. Drug Saf 2005; 28(9): 789–801PubMed
38.
Zurück zum Zitat Lin JH. Transporter-mediated drug interactions: clinical implications and in vitro assessment. Expert Opin Drug Metab Toxicol 2007; 3(1): 81–92PubMed Lin JH. Transporter-mediated drug interactions: clinical implications and in vitro assessment. Expert Opin Drug Metab Toxicol 2007; 3(1): 81–92PubMed
39.
Zurück zum Zitat Donato MT, Castell JV. Strategies and molecular probes to investigate the role of cytochrome P450 in drug metabolism: focus on in vitro studies. Clin Pharmacokinet 2003; 42(2): 153–78PubMed Donato MT, Castell JV. Strategies and molecular probes to investigate the role of cytochrome P450 in drug metabolism: focus on in vitro studies. Clin Pharmacokinet 2003; 42(2): 153–78PubMed
40.
Zurück zum Zitat Martignoni M, Grothuis GMM, de Kanter R. Species differences between mouse, rat, dog, monkey and human CYP-mediated drug metabolism, inhibition and induction. Expert Opin Drug Metab Toxicol 2006; 6: 875–94 Martignoni M, Grothuis GMM, de Kanter R. Species differences between mouse, rat, dog, monkey and human CYP-mediated drug metabolism, inhibition and induction. Expert Opin Drug Metab Toxicol 2006; 6: 875–94
41.
Zurück zum Zitat Ingelhuman-Sundberg M. The human genome project and novel aspects of cytochrome P450 research. Toxicol Appl Pharmacol 2005; 207 (2 Suppl.): 52–6 Ingelhuman-Sundberg M. The human genome project and novel aspects of cytochrome P450 research. Toxicol Appl Pharmacol 2005; 207 (2 Suppl.): 52–6
43.
Zurück zum Zitat Kobayashi S, Murray S, Watson D, et al. The specificity of inhibition of debrisoquine 4-hydroxylase activity by quinidine and quinine in the rat is the inverse of that in human. Biochem Pharmacol 1989; 38(17): 2795–9PubMed Kobayashi S, Murray S, Watson D, et al. The specificity of inhibition of debrisoquine 4-hydroxylase activity by quinidine and quinine in the rat is the inverse of that in human. Biochem Pharmacol 1989; 38(17): 2795–9PubMed
44.
Zurück zum Zitat Masubuchi Y, Iwasa T, Hosokawa S, et al. Selective deficiency of debrisoquine 4-hydroxylase activity in mouse liver microsomes. J Pharmacol Exp Ther 1997; 282(3): 1435–41PubMed Masubuchi Y, Iwasa T, Hosokawa S, et al. Selective deficiency of debrisoquine 4-hydroxylase activity in mouse liver microsomes. J Pharmacol Exp Ther 1997; 282(3): 1435–41PubMed
45.
Zurück zum Zitat Yu AM, Idle JR, Gonzalez FJ. Polymorphic cytochrome P4502D6: humanized mouse model and endogenous substrates. Drug Metab Rev 2004; 36: 243–77PubMed Yu AM, Idle JR, Gonzalez FJ. Polymorphic cytochrome P4502D6: humanized mouse model and endogenous substrates. Drug Metab Rev 2004; 36: 243–77PubMed
46.
Zurück zum Zitat Pascussi JM, Dvorák Z, Gerbal-Chaloin S, et al. Patho-physiological factors affecting CAR gene expression. Drug Metab Rev 2003; 35(4): 255–68PubMed Pascussi JM, Dvorák Z, Gerbal-Chaloin S, et al. Patho-physiological factors affecting CAR gene expression. Drug Metab Rev 2003; 35(4): 255–68PubMed
47.
Zurück zum Zitat Hewitt NJ, de Kanter R, LeCluyse E. Induction of drug metabolizing enzymes: a survey of in vitro methodologies and interpretations used in the pharmaceutical industry. Do they comply with FDA recommendations? Chem Biol Interact 2007; 168(1): 51–65 Hewitt NJ, de Kanter R, LeCluyse E. Induction of drug metabolizing enzymes: a survey of in vitro methodologies and interpretations used in the pharmaceutical industry. Do they comply with FDA recommendations? Chem Biol Interact 2007; 168(1): 51–65
48.
Zurück zum Zitat Hewitt NJ, Lecluyse EL, Ferguson SS. Induction of hepatic cytochrome P450 enzymes: methods, mechanisms, recommendations, and in vitro-in vivo correlations. Xeno-biotica 2007; 37(10-11): 1196–224 Hewitt NJ, Lecluyse EL, Ferguson SS. Induction of hepatic cytochrome P450 enzymes: methods, mechanisms, recommendations, and in vitro-in vivo correlations. Xeno-biotica 2007; 37(10-11): 1196–224
49.
Zurück zum Zitat Liu YT, Hao HP, Liu CX, et al. Drugs as CYP3A probes, inducers, and inhibitors. Drug Metab Rev 2007; 39(4): 699–721PubMed Liu YT, Hao HP, Liu CX, et al. Drugs as CYP3A probes, inducers, and inhibitors. Drug Metab Rev 2007; 39(4): 699–721PubMed
50.
Zurück zum Zitat Niemi M, Backhuman JT, Fromm MF, et al. Pharmaco-kinetic interactions with rifampicin: clinical relevance. Clin Pharmacokine 2003; 42(9): 819–50 Niemi M, Backhuman JT, Fromm MF, et al. Pharmaco-kinetic interactions with rifampicin: clinical relevance. Clin Pharmacokine 2003; 42(9): 819–50
51.
Zurück zum Zitat Caccia S. Antidepressant-like components of Hypericum perforatum extracts: an overview of their pharmacokinetics and metabolism. Curr Drug Metab 2005; 6(6): 531–43PubMed Caccia S. Antidepressant-like components of Hypericum perforatum extracts: an overview of their pharmacokinetics and metabolism. Curr Drug Metab 2005; 6(6): 531–43PubMed
52.
Zurück zum Zitat Henderson L, Yue QY, Bergquist C, et al. St John’s wort (Hypericum perforatum): drug interactions and clinical outcomes. Br J Clin Pharmacol 2002; 54(4): 349–56PubMed Henderson L, Yue QY, Bergquist C, et al. St John’s wort (Hypericum perforatum): drug interactions and clinical outcomes. Br J Clin Pharmacol 2002; 54(4): 349–56PubMed
53.
Zurück zum Zitat Humannel M. Drug interactions with St John’s wort: mechanisms and clinical implications. Drug Saf 2004; 27(11): 773–97 Humannel M. Drug interactions with St John’s wort: mechanisms and clinical implications. Drug Saf 2004; 27(11): 773–97
54.
Zurück zum Zitat Kocarek TA, Schuetz EG, Strom SC, et al. Comparative analysis of cytochrome P4503A induction in primary cultures of rat, rabbit, and human hepatocytes. Drug Metab Dispos 1995; 23(3): 415–21PubMed Kocarek TA, Schuetz EG, Strom SC, et al. Comparative analysis of cytochrome P4503A induction in primary cultures of rat, rabbit, and human hepatocytes. Drug Metab Dispos 1995; 23(3): 415–21PubMed
55.
Zurück zum Zitat Moore LB, Maglich JM, McKee DD, et al. Pregnane X receptor (PXR), constitutive androstane receptor (CAR), and benzoate X receptor (BXR) define three pharmacologically distinct classes of nuclear receptors. Mol Endocrinol 2002; 16(5): 977–86PubMed Moore LB, Maglich JM, McKee DD, et al. Pregnane X receptor (PXR), constitutive androstane receptor (CAR), and benzoate X receptor (BXR) define three pharmacologically distinct classes of nuclear receptors. Mol Endocrinol 2002; 16(5): 977–86PubMed
56.
Zurück zum Zitat Willson TM, Kliewer SA. PXR, CAR and drug metabolism. Nat Rev Drug Discov 2002; 1(4): 259–66PubMed Willson TM, Kliewer SA. PXR, CAR and drug metabolism. Nat Rev Drug Discov 2002; 1(4): 259–66PubMed
57.
Zurück zum Zitat Jones SA, Moore LB, Shenk JL, et al. The pregnane X receptor: a promiscuous xenobiotic receptor that has diverged during evolution. Mol Endocrinol 2000; 14(1): 27–39PubMed Jones SA, Moore LB, Shenk JL, et al. The pregnane X receptor: a promiscuous xenobiotic receptor that has diverged during evolution. Mol Endocrinol 2000; 14(1): 27–39PubMed
58.
Zurück zum Zitat Tirona RG, Leake BF, Podust LM, et al. Identification of amino acids in rat pregnane X receptor that determine species-specific activation. Mol Pharmacol 2004; 65(1): 36–44PubMed Tirona RG, Leake BF, Podust LM, et al. Identification of amino acids in rat pregnane X receptor that determine species-specific activation. Mol Pharmacol 2004; 65(1): 36–44PubMed
59.
Zurück zum Zitat Bjornsson TD, Callaghan JT, Einolf HJ, et al. The conduct of in vitro and in vivo drug-drug interaction studies: a PhRMA perspective. J Clin Pharmacol 2003; 43: 443–69PubMed Bjornsson TD, Callaghan JT, Einolf HJ, et al. The conduct of in vitro and in vivo drug-drug interaction studies: a PhRMA perspective. J Clin Pharmacol 2003; 43: 443–69PubMed
60.
Zurück zum Zitat Karpen SJ. Nuclear receptor regulation of hepatic function. J Hepatol 2002; 36(6): 832–50PubMed Karpen SJ. Nuclear receptor regulation of hepatic function. J Hepatol 2002; 36(6): 832–50PubMed
61.
Zurück zum Zitat Moore LB, Parks DJ, Jones SA, et al. Orphan nuclear receptors constitutive androstane receptor and pregnane X receptor share xenobiotic and steroid ligands. J Biol Chem 2000; 275(20): 15122–7PubMed Moore LB, Parks DJ, Jones SA, et al. Orphan nuclear receptors constitutive androstane receptor and pregnane X receptor share xenobiotic and steroid ligands. J Biol Chem 2000; 275(20): 15122–7PubMed
62.
Zurück zum Zitat Tucker GT, Houston JB, Huang SM. Optimizing drug development: strategies to assess drug metabolism/ transporter interaction potential. Toward a consensus. Clin Pharmacol Ther 2001; 70(2): 103–14PubMed Tucker GT, Houston JB, Huang SM. Optimizing drug development: strategies to assess drug metabolism/ transporter interaction potential. Toward a consensus. Clin Pharmacol Ther 2001; 70(2): 103–14PubMed
63.
Zurück zum Zitat Houston JB, Galetin A. Progress towards prediction of human pharmacokinetic parameters from in vitro technologies. Drug Metab Rev 2003; 35(4): 393–415PubMed Houston JB, Galetin A. Progress towards prediction of human pharmacokinetic parameters from in vitro technologies. Drug Metab Rev 2003; 35(4): 393–415PubMed
64.
Zurück zum Zitat Obach RS, Walsky RL, Venkatakrishnan K. Mechanism-based inactivation of human cytochrome p450 enzymes and the prediction of drug-drug interactions. Drug Metab Dispos 2007; 35(2): 246–55PubMed Obach RS, Walsky RL, Venkatakrishnan K. Mechanism-based inactivation of human cytochrome p450 enzymes and the prediction of drug-drug interactions. Drug Metab Dispos 2007; 35(2): 246–55PubMed
65.
Zurück zum Zitat Bertz RJ, Grannehuman GR. Use of in vitro and in vivo data to estimate the likelihood of metabolic pharmacokinetic interactions. Clin Pharmacokinet 1997; 32(3): 210–58PubMed Bertz RJ, Grannehuman GR. Use of in vitro and in vivo data to estimate the likelihood of metabolic pharmacokinetic interactions. Clin Pharmacokinet 1997; 32(3): 210–58PubMed
66.
Zurück zum Zitat Ito K, Iwatsubo T, Kanamitsu S, et al. Prediction of pharmacokinetic alterations caused by drug-drug interactions: metabolic interaction in the liver. Pharmacol Rev 1998; 50(3): 387–412PubMed Ito K, Iwatsubo T, Kanamitsu S, et al. Prediction of pharmacokinetic alterations caused by drug-drug interactions: metabolic interaction in the liver. Pharmacol Rev 1998; 50(3): 387–412PubMed
67.
Zurück zum Zitat Houston JB, Kenworthy KE. In vitro-in vivo scaling of CYP kinetic data not consistent with the classical Michaelis-Menten model. Drug Metab Dispos 2000; 28(3): 246–54PubMed Houston JB, Kenworthy KE. In vitro-in vivo scaling of CYP kinetic data not consistent with the classical Michaelis-Menten model. Drug Metab Dispos 2000; 28(3): 246–54PubMed
68.
Zurück zum Zitat Schuetz EG, Schinkel AH, Relling MV, et al. P-glycoprotein: a major determinant of rifampicin-inducible expression of cytochrome P4503A in mice and humans. Proc Natl Acad Sci USA 1996; 93(9): 4001–5PubMed Schuetz EG, Schinkel AH, Relling MV, et al. P-glycoprotein: a major determinant of rifampicin-inducible expression of cytochrome P4503A in mice and humans. Proc Natl Acad Sci USA 1996; 93(9): 4001–5PubMed
69.
Zurück zum Zitat Caccia S. Metabolism of the newer antidepressants: an overview of the pharmacological and pharmacokinetic implications. Clin Pharmacokinet 1998; 34(4): 281–302PubMed Caccia S. Metabolism of the newer antidepressants: an overview of the pharmacological and pharmacokinetic implications. Clin Pharmacokinet 1998; 34(4): 281–302PubMed
70.
Zurück zum Zitat Caccia S. N-dealkylation of arylpiperazine derivatives: disposition and metabolism of the 1-aryl-piperazines formed. Curr Drug Metab 2007; 8(6): 612–22PubMed Caccia S. N-dealkylation of arylpiperazine derivatives: disposition and metabolism of the 1-aryl-piperazines formed. Curr Drug Metab 2007; 8(6): 612–22PubMed
71.
Zurück zum Zitat Ito K, Brown HS, Houston JB. Database analyses for the prediction of in vivo drug-drug interactions from in vitro data [published erratum appears in Br J Clin Pharmacol 2004 Nov; 58 (5): 565–8]. Br J Clin Pharmacol 2004; 57(4): 473–86PubMed Ito K, Brown HS, Houston JB. Database analyses for the prediction of in vivo drug-drug interactions from in vitro data [published erratum appears in Br J Clin Pharmacol 2004 Nov; 58 (5): 565–8]. Br J Clin Pharmacol 2004; 57(4): 473–86PubMed
72.
Zurück zum Zitat Brown HS, Galetin A, Hallifax D, et al. Prediction of in vivo drug-drug interactions from in vitro data: factors affecting prototypic drug-drug interactions involving CYP2C9, CYP2D6 and CYP3A4. Clin Pharmacokinet 2006; 45(10): 1035–50PubMed Brown HS, Galetin A, Hallifax D, et al. Prediction of in vivo drug-drug interactions from in vitro data: factors affecting prototypic drug-drug interactions involving CYP2C9, CYP2D6 and CYP3A4. Clin Pharmacokinet 2006; 45(10): 1035–50PubMed
73.
Zurück zum Zitat The Simcyp population-based ADME simulator. Simcyp Consortium provides a platform for modelling and simulation of drug absorption, distribution, metabolism and excretion (ADME) in virtual populations. The Simcyp Consortium includes pharmaceutical companies, academic institutes and regulatory authorities [online]. Available from URL: http://www.SIMCYP.com [Accessed 2009 Sep 3] The Simcyp population-based ADME simulator. Simcyp Consortium provides a platform for modelling and simulation of drug absorption, distribution, metabolism and excretion (ADME) in virtual populations. The Simcyp Consortium includes pharmaceutical companies, academic institutes and regulatory authorities [online]. Available from URL: http://​www.​SIMCYP.​com [Accessed 2009 Sep 3]
74.
Zurück zum Zitat Youdim KA, Zayed A, Dickins M, et al. Application of CYP3A4 in vitro data to predict clinical drug-drug interactions: predictions of compounds as objects of interaction. Br J Clin Pharmacol 2008; 65(5): 680–92PubMed Youdim KA, Zayed A, Dickins M, et al. Application of CYP3A4 in vitro data to predict clinical drug-drug interactions: predictions of compounds as objects of interaction. Br J Clin Pharmacol 2008; 65(5): 680–92PubMed
75.
Zurück zum Zitat Gómez-Lechón MJ, Donato MT, Castell JV, et al. Human hepatocytes in primary culture: the choice to investigate drug metabolism in human. Curr Drug Metab 2004; 5(5): 443–62PubMed Gómez-Lechón MJ, Donato MT, Castell JV, et al. Human hepatocytes in primary culture: the choice to investigate drug metabolism in human. Curr Drug Metab 2004; 5(5): 443–62PubMed
77.
Zurück zum Zitat Hamilton GA, Jolley SL, Gilbert D, et al. Regulation of cell morphology and cytochrome P450 expression in human hepatocytes by extracellular matrix and cell-cell interactions. Cell Tissue Res 2001; 306: 85–99PubMed Hamilton GA, Jolley SL, Gilbert D, et al. Regulation of cell morphology and cytochrome P450 expression in human hepatocytes by extracellular matrix and cell-cell interactions. Cell Tissue Res 2001; 306: 85–99PubMed
78.
Zurück zum Zitat LeCluyse EL. Human hepatocyte culture systems for the in vitro evaluation of cytochrome P450 expression and regulation. Eur J Pharm Sci 2001; 13(4): 343–68PubMed LeCluyse EL. Human hepatocyte culture systems for the in vitro evaluation of cytochrome P450 expression and regulation. Eur J Pharm Sci 2001; 13(4): 343–68PubMed
79.
Zurück zum Zitat Katoh M, Tateno C, Yoshizato K, et al. Chimeric mice with humanized liver. Toxicology 2008; 246(1): 9–17PubMed Katoh M, Tateno C, Yoshizato K, et al. Chimeric mice with humanized liver. Toxicology 2008; 246(1): 9–17PubMed
80.
Zurück zum Zitat Azuma H, Paulk N, Ranade A, et al. Robust expansion of human hepatocytes in Fah-/-/Rag2-/-/Il2rg-/-mice. Nat Biotechnol 2007; 25(8): 903–10PubMed Azuma H, Paulk N, Ranade A, et al. Robust expansion of human hepatocytes in Fah-/-/Rag2-/-/Il2rg-/-mice. Nat Biotechnol 2007; 25(8): 903–10PubMed
81.
Zurück zum Zitat Buring JE. Women in clinical trials: a portfolio for success. N Engl J Med 2000; 343(7): 505–6PubMed Buring JE. Women in clinical trials: a portfolio for success. N Engl J Med 2000; 343(7): 505–6PubMed
82.
Zurück zum Zitat Heiat A, Gross CP, Krumholz HM. Representation of the elderly, women and minority in heart failure clinical trials. Arch Intern Med 2002; 162: 1682–8PubMed Heiat A, Gross CP, Krumholz HM. Representation of the elderly, women and minority in heart failure clinical trials. Arch Intern Med 2002; 162: 1682–8PubMed
83.
Zurück zum Zitat Fleish J, Fleish MC, Thurhumann PA. Women in early-phase clinical drug trials: have things changed over the past 20 years? Clin Pharmacol Ther 2005; 78: 445–52 Fleish J, Fleish MC, Thurhumann PA. Women in early-phase clinical drug trials: have things changed over the past 20 years? Clin Pharmacol Ther 2005; 78: 445–52
84.
Zurück zum Zitat Kaiser J. Gender in pharmacy: does it matter? Nature 2005; 308: 1572–4 Kaiser J. Gender in pharmacy: does it matter? Nature 2005; 308: 1572–4
85.
Zurück zum Zitat Anderson GD. Sex and racial differences in pharmacological response: where is the evidence? Pharmacogenetics, pharmacokinetics, and pharmacodynamics. J Womens Health (Larchmt) 2005; 14(1): 19–29 Anderson GD. Sex and racial differences in pharmacological response: where is the evidence? Pharmacogenetics, pharmacokinetics, and pharmacodynamics. J Womens Health (Larchmt) 2005; 14(1): 19–29
86.
Zurück zum Zitat Schwartz JB. The influence of sex on pharmacokinetics [published erratum appears in Clin Pharmacokinet 2004; 43 (11): 732]. Clin Pharmacokinet 2003; 42(2): 107–21PubMed Schwartz JB. The influence of sex on pharmacokinetics [published erratum appears in Clin Pharmacokinet 2004; 43 (11): 732]. Clin Pharmacokinet 2003; 42(2): 107–21PubMed
87.
Zurück zum Zitat Chen ML, Lee SC, Ng MJ, et al. Pharmacokinetic analysis of bioequivalence trials: implications for sex-related issues in clinical pharmacology and biopharmaceutics. Clin Pharmacol Ther 2000; 68(5): 510–21PubMed Chen ML, Lee SC, Ng MJ, et al. Pharmacokinetic analysis of bioequivalence trials: implications for sex-related issues in clinical pharmacology and biopharmaceutics. Clin Pharmacol Ther 2000; 68(5): 510–21PubMed
88.
Zurück zum Zitat Cummins CL, Wu CY, Benet LZ. Sex-related differences in the clearance of cytochrome P450 3 A4 substrates may be caused by P-glycoprotein. Clin Pharmacol Ther 2002; 72(5): 474–89PubMed Cummins CL, Wu CY, Benet LZ. Sex-related differences in the clearance of cytochrome P450 3 A4 substrates may be caused by P-glycoprotein. Clin Pharmacol Ther 2002; 72(5): 474–89PubMed
89.
Zurück zum Zitat Wolbold R, Klein K, Burk O, et al. Sex is a major determinant of CYP3A4 expression in human liver. Hepatology 2003; 38(4): 978–88PubMed Wolbold R, Klein K, Burk O, et al. Sex is a major determinant of CYP3A4 expression in human liver. Hepatology 2003; 38(4): 978–88PubMed
90.
Zurück zum Zitat Morris ME, Lee HJ, Predko LM. Gender differences in the membrane transport of endogenous and exogenous compounds. Pharmacol Rev 2003; 55(2): 229–40PubMed Morris ME, Lee HJ, Predko LM. Gender differences in the membrane transport of endogenous and exogenous compounds. Pharmacol Rev 2003; 55(2): 229–40PubMed
91.
Zurück zum Zitat Shah RR. Drug development and use in the elderly: search for the right dose and dosing regimen (parts I and II). Br J Clin Pharmacol 2004; 58(5): 452–69PubMed Shah RR. Drug development and use in the elderly: search for the right dose and dosing regimen (parts I and II). Br J Clin Pharmacol 2004; 58(5): 452–69PubMed
92.
Zurück zum Zitat Goldberg RM, Mabee J, Chan L, et al. Drug-drug and drug-disease interactions in ED: analysis of a high-risk population. Am J Emerg Med 1996; 14: 447–50PubMed Goldberg RM, Mabee J, Chan L, et al. Drug-drug and drug-disease interactions in ED: analysis of a high-risk population. Am J Emerg Med 1996; 14: 447–50PubMed
93.
Zurück zum Zitat Bjorkhumann IK, Fastbom J, Smith IK, et al. Drug-drug interactions in the elderly. Ann Pharmacother 2002; 36: 1675–81 Bjorkhumann IK, Fastbom J, Smith IK, et al. Drug-drug interactions in the elderly. Ann Pharmacother 2002; 36: 1675–81
94.
Zurück zum Zitat Klarin I, Wimo A, Fastom J. The association of inappropriate drug use with hospitalisation and mortality: a population-based study of the very old. Drugs Aging 2005; 22: 69–82PubMed Klarin I, Wimo A, Fastom J. The association of inappropriate drug use with hospitalisation and mortality: a population-based study of the very old. Drugs Aging 2005; 22: 69–82PubMed
95.
Zurück zum Zitat Johnell K, Klarin I. The relationship between number of drugs and potential drug-drug interactions in the elderly: a study of over 600,000 elderly patients from the Swedish Prescribed Drug Register. Drug Saf 2007; 30(10): 911–8PubMed Johnell K, Klarin I. The relationship between number of drugs and potential drug-drug interactions in the elderly: a study of over 600,000 elderly patients from the Swedish Prescribed Drug Register. Drug Saf 2007; 30(10): 911–8PubMed
96.
Zurück zum Zitat Sotaniemi EA, Arranto AJ, Pelkonen O, et al. Age and cytochrome P450-linked drug metabolism in humans: an analysis of 226 subjects with equal histopathologic conditions. Clin Pharmacol Ther 1997; 61(3): 331–9PubMed Sotaniemi EA, Arranto AJ, Pelkonen O, et al. Age and cytochrome P450-linked drug metabolism in humans: an analysis of 226 subjects with equal histopathologic conditions. Clin Pharmacol Ther 1997; 61(3): 331–9PubMed
97.
Zurück zum Zitat Humangoni AA, Jackson SHD. Age-related changes in pharmacokinetics and pharmacodynamics: basic principles and practical applications. Br J Clin Pharmacol 2003; 57: 6–14 Humangoni AA, Jackson SHD. Age-related changes in pharmacokinetics and pharmacodynamics: basic principles and practical applications. Br J Clin Pharmacol 2003; 57: 6–14
98.
Zurück zum Zitat Krayenbul JC, Vozeh S, Kondo-Oestreicher M, et al. Drug-drug interactions of new active substances: mibefradil example. Eur J Clin Pharmacol 1999; 55: 559–65 Krayenbul JC, Vozeh S, Kondo-Oestreicher M, et al. Drug-drug interactions of new active substances: mibefradil example. Eur J Clin Pharmacol 1999; 55: 559–65
99.
Zurück zum Zitat Psaty BM, Furberg CD, Ray WA, et al. Potential for conflict of interest in the evaluation of suspected adverse drug reactions: use of cerivastatin and risk of rhabdomyolysis. JAMA 2004; 292: 2622–31PubMed Psaty BM, Furberg CD, Ray WA, et al. Potential for conflict of interest in the evaluation of suspected adverse drug reactions: use of cerivastatin and risk of rhabdomyolysis. JAMA 2004; 292: 2622–31PubMed
100.
Zurück zum Zitat Bursztyn M, Kadr H, Tilvis R, et al. Mibefradil, a novel calcium antagonist, in elderly patients with hypertension: favorable hemodynamics and pharmacokinetics. Am Heart J 1997; 134 (2 Pt 1): 238–47PubMed Bursztyn M, Kadr H, Tilvis R, et al. Mibefradil, a novel calcium antagonist, in elderly patients with hypertension: favorable hemodynamics and pharmacokinetics. Am Heart J 1997; 134 (2 Pt 1): 238–47PubMed
101.
Zurück zum Zitat Kobrin I, Charlon V, Lindberg E, et al. Safety of mibefradil, a new once-a-day, selective T-type calcium channel antagonist. Am J Cardiol 1997; 80(4B): 40–6C Kobrin I, Charlon V, Lindberg E, et al. Safety of mibefradil, a new once-a-day, selective T-type calcium channel antagonist. Am J Cardiol 1997; 80(4B): 40–6C
102.
Zurück zum Zitat Mullins ME, Horowitz Z, Linden DHJ, et al. Life-threatening interaction of mibefradil and beta-blockers with dihydropyridine calcium channel blockers. JAMA 1998; 280: 157–8PubMed Mullins ME, Horowitz Z, Linden DHJ, et al. Life-threatening interaction of mibefradil and beta-blockers with dihydropyridine calcium channel blockers. JAMA 1998; 280: 157–8PubMed
103.
Zurück zum Zitat Muck W. Metabolic interactions between mibefradil and HMG-CoA reductase inhibitors: linking in vitro with in vivo information. Br J Clin Pharmacol 2000; 49: 87–90PubMed Muck W. Metabolic interactions between mibefradil and HMG-CoA reductase inhibitors: linking in vitro with in vivo information. Br J Clin Pharmacol 2000; 49: 87–90PubMed
104.
Zurück zum Zitat Xie W, Barwick JL, Downes M, et al. Humanized xenobiotic response in mice expressing nuclear receptor SXR. Nature 2000; 406(6794): 435–9PubMed Xie W, Barwick JL, Downes M, et al. Humanized xenobiotic response in mice expressing nuclear receptor SXR. Nature 2000; 406(6794): 435–9PubMed
105.
Zurück zum Zitat Ma X, Shah Y, Cheung C, et al. The pregnane X receptor gene-humanized mouse: a model for investigating drug-drug interactions mediated by cytochromes P4503A. Drug Metab Dispos 2007; 35(2): 194–200PubMed Ma X, Shah Y, Cheung C, et al. The pregnane X receptor gene-humanized mouse: a model for investigating drug-drug interactions mediated by cytochromes P4503A. Drug Metab Dispos 2007; 35(2): 194–200PubMed
106.
Zurück zum Zitat Liddle C, Robertson GR. Predicting inductive drug-drug interactions. Pharmacogenomics 2003; 4(2): 141–52PubMed Liddle C, Robertson GR. Predicting inductive drug-drug interactions. Pharmacogenomics 2003; 4(2): 141–52PubMed
107.
Zurück zum Zitat Scheer N, Ross J, Rode A, et al. A novel panel of mouse models to evaluate the role of human pregnane X receptor and constitutive androstane receptor in drug response. J Clin Invest 2008; 118(9): 3228–39PubMed Scheer N, Ross J, Rode A, et al. A novel panel of mouse models to evaluate the role of human pregnane X receptor and constitutive androstane receptor in drug response. J Clin Invest 2008; 118(9): 3228–39PubMed
108.
Zurück zum Zitat Higashi E, Fukami T, Itoh M, et al. Human CYP2A6 is induced by estrogen via estrogen receptor. Drug Metab Dispos 2007; 35(10): 1935–41PubMed Higashi E, Fukami T, Itoh M, et al. Human CYP2A6 is induced by estrogen via estrogen receptor. Drug Metab Dispos 2007; 35(10): 1935–41PubMed
109.
Zurück zum Zitat Hukkanen J, Väisänen T, Lassila A, et al. Regulation of CYP3A5 by glucocorticoids and cigarette smoke in human lung-derived cells. J Pharmacol Exp Ther 2003; 304(2): 745–52PubMed Hukkanen J, Väisänen T, Lassila A, et al. Regulation of CYP3A5 by glucocorticoids and cigarette smoke in human lung-derived cells. J Pharmacol Exp Ther 2003; 304(2): 745–52PubMed
110.
Zurück zum Zitat Ma Q. Induction of CYP1A1. The AhR/DRE paradigm: transcription, receptor regulation, and expanding biological roles. Curr Drug Metab 2001; 2(2): 149–64PubMed Ma Q. Induction of CYP1A1. The AhR/DRE paradigm: transcription, receptor regulation, and expanding biological roles. Curr Drug Metab 2001; 2(2): 149–64PubMed
111.
Zurück zum Zitat Nguyen LP, Bradfield CA. The search for endogenous activators of the aryl hydrocarbon receptor. Chem Res Toxicol 2008; 21(1): 102–16PubMed Nguyen LP, Bradfield CA. The search for endogenous activators of the aryl hydrocarbon receptor. Chem Res Toxicol 2008; 21(1): 102–16PubMed
112.
Zurück zum Zitat Pohjanvirta R, Wong JMY, Li W, et al. Point mutation in intron sequence causes altered carboxyl-terminal structure in the aryl hydrocarbon receptor of the most 2,3,7,8-tetrachlorodibenzo-p-dioxin-resistant rat strain. Mol Pharmacol 1998; 54: 86–93PubMed Pohjanvirta R, Wong JMY, Li W, et al. Point mutation in intron sequence causes altered carboxyl-terminal structure in the aryl hydrocarbon receptor of the most 2,3,7,8-tetrachlorodibenzo-p-dioxin-resistant rat strain. Mol Pharmacol 1998; 54: 86–93PubMed
113.
Zurück zum Zitat Karchner SI, Franks DG, Kennedy SW, et al. The molecular basis for differential dioxin sensitivity in birds: role of the aryl hydrocarbon receptor. Proc Natl Acad Sci U S A 2006; 103(16): 6252–7PubMed Karchner SI, Franks DG, Kennedy SW, et al. The molecular basis for differential dioxin sensitivity in birds: role of the aryl hydrocarbon receptor. Proc Natl Acad Sci U S A 2006; 103(16): 6252–7PubMed
114.
Zurück zum Zitat Moriguchi T, Motohashi H, Hosoya T, et al. Distinct response to dioxin in an arylhydrocarbon receptor (AHR)-humanized mouse. Proc Natl Acad Sci U S A 2003; 100(10): 5652–7PubMed Moriguchi T, Motohashi H, Hosoya T, et al. Distinct response to dioxin in an arylhydrocarbon receptor (AHR)-humanized mouse. Proc Natl Acad Sci U S A 2003; 100(10): 5652–7PubMed
115.
Zurück zum Zitat Wilkening S, Stahl F, Bader A. Comparison of primary human hepatocytes and hepatoma cell line Hepg2 with regard to their biotransformation properties. Drug Metab Dispos 2003; 31: 1035–42PubMed Wilkening S, Stahl F, Bader A. Comparison of primary human hepatocytes and hepatoma cell line Hepg2 with regard to their biotransformation properties. Drug Metab Dispos 2003; 31: 1035–42PubMed
116.
Zurück zum Zitat Aninat C, Piton A, Glaise D, et al. Expression of cytochromes P450, conjugating enzymes and nuclear receptors in human hepatoma HepaRG cells. Drug Metab Dispos 2006; 34(1): 75–83PubMed Aninat C, Piton A, Glaise D, et al. Expression of cytochromes P450, conjugating enzymes and nuclear receptors in human hepatoma HepaRG cells. Drug Metab Dispos 2006; 34(1): 75–83PubMed
117.
Zurück zum Zitat Guillouzo A, Corlu A, Aninat C, et al. The human hepatoma HepaRG cells: a highly differentiated model for studies of liver metabolism and toxicity of xenobiotics. Chem Biol Interact 2007; 168(1): 66–73PubMed Guillouzo A, Corlu A, Aninat C, et al. The human hepatoma HepaRG cells: a highly differentiated model for studies of liver metabolism and toxicity of xenobiotics. Chem Biol Interact 2007; 168(1): 66–73PubMed
118.
Zurück zum Zitat Mills JB, Rose KA, Sadagopan N, et al. Induction of drug metabolism enzymes and MDR1 using a novel human hepatocyte cell line. J Pharmacol Exp Ther 2004; 309(1): 303–9PubMed Mills JB, Rose KA, Sadagopan N, et al. Induction of drug metabolism enzymes and MDR1 using a novel human hepatocyte cell line. J Pharmacol Exp Ther 2004; 309(1): 303–9PubMed
119.
Zurück zum Zitat Hariparsad N, Carr BA, Evers R, et al. Comparison of immortalized Fa2N-4 cells and human hepatocytes as in vitro models for cytochrome P450 induction. Drug Metab Dispos 2008; 36(6): 1046–55PubMed Hariparsad N, Carr BA, Evers R, et al. Comparison of immortalized Fa2N-4 cells and human hepatocytes as in vitro models for cytochrome P450 induction. Drug Metab Dispos 2008; 36(6): 1046–55PubMed
120.
Zurück zum Zitat Ripp SL, Mills JB, Fahmi OA, et al. Use of immortalized human hepatocytes to predict the magnitude of clinical drug-drug interactions caused by CYP3A4 induction. Drug Metab Dispos 2006; 34(10): 1742–8PubMed Ripp SL, Mills JB, Fahmi OA, et al. Use of immortalized human hepatocytes to predict the magnitude of clinical drug-drug interactions caused by CYP3A4 induction. Drug Metab Dispos 2006; 34(10): 1742–8PubMed
121.
Zurück zum Zitat Synold TW, Dussault I, Forhuman BM. The orphan nuclear receptor SXR coordinately regulates drug metabolism and efflux. Nat Med 2001; 7: 584–90PubMed Synold TW, Dussault I, Forhuman BM. The orphan nuclear receptor SXR coordinately regulates drug metabolism and efflux. Nat Med 2001; 7: 584–90PubMed
122.
Zurück zum Zitat Zhou C, Tabb MM, Sadatrafiei A, et al. Tocotrienols activate the steroid and xenobiotic receptor, SXR, and selectively regulate expression of its target genes. Drug Metab Dispos 2004; 32: 1075–82PubMed Zhou C, Tabb MM, Sadatrafiei A, et al. Tocotrienols activate the steroid and xenobiotic receptor, SXR, and selectively regulate expression of its target genes. Drug Metab Dispos 2004; 32: 1075–82PubMed
123.
Zurück zum Zitat Pfrunder A, Guthumann H, Beglinger C, et al. Gene expression of CYP3A4, ABC-transporters (MDR1 and MRP1-MRP5) and hPXR in three different human colon carcinoma cell lines. J Pharm Pharmacol 2003; 55: 59–66PubMed Pfrunder A, Guthumann H, Beglinger C, et al. Gene expression of CYP3A4, ABC-transporters (MDR1 and MRP1-MRP5) and hPXR in three different human colon carcinoma cell lines. J Pharm Pharmacol 2003; 55: 59–66PubMed
124.
Zurück zum Zitat Harmsen S, Koster AS, Beijnen JH, et al. Comparison of two immortalized human cell lines to study nuclear receptor-mediated CYP3A4 induction. Drug Metab Dispos 2008; 36(6): 1166–71PubMed Harmsen S, Koster AS, Beijnen JH, et al. Comparison of two immortalized human cell lines to study nuclear receptor-mediated CYP3A4 induction. Drug Metab Dispos 2008; 36(6): 1166–71PubMed
125.
Zurück zum Zitat Ekins S, Wrighton SA. Application of in silico approaches to predicting drug-drug interactions. J Pharmacol Toxicol Methods 2001; 45(1): 65–9PubMed Ekins S, Wrighton SA. Application of in silico approaches to predicting drug-drug interactions. J Pharmacol Toxicol Methods 2001; 45(1): 65–9PubMed
126.
Zurück zum Zitat Maréchal JD, Sutcliffe MJ. Insights into drug metabolism from modelling studies of cytochrome P450-drug interactions. Curr Top Med Chem 2006; 6(15): 1619–26PubMed Maréchal JD, Sutcliffe MJ. Insights into drug metabolism from modelling studies of cytochrome P450-drug interactions. Curr Top Med Chem 2006; 6(15): 1619–26PubMed
127.
Zurück zum Zitat Poso A, Honkakoski P. Ligand recognition by drug-activated nuclear receptors PXR and CAR: structural, sitedirected mutagenesis and molecular modeling studies. Mini Rev Med Chem 2006; 6(8): 937–47PubMed Poso A, Honkakoski P. Ligand recognition by drug-activated nuclear receptors PXR and CAR: structural, sitedirected mutagenesis and molecular modeling studies. Mini Rev Med Chem 2006; 6(8): 937–47PubMed
128.
Zurück zum Zitat Schuster D, Steindl TM, Langer T. Predicting drug metabolism induction in silico. Curr Top Med Chem 2006; 6(15): 1627–40PubMed Schuster D, Steindl TM, Langer T. Predicting drug metabolism induction in silico. Curr Top Med Chem 2006; 6(15): 1627–40PubMed
129.
Zurück zum Zitat Arikuma T, Yoshikawa S, Azuma R, et al. Drug interaction prediction using ontology-driven hypothetical assertion framework for pathway generation followed by numerical simulation [abstract]. BMC Bioinformatics 2008; 9 Suppl. 6: S11PubMed Arikuma T, Yoshikawa S, Azuma R, et al. Drug interaction prediction using ontology-driven hypothetical assertion framework for pathway generation followed by numerical simulation [abstract]. BMC Bioinformatics 2008; 9 Suppl. 6: S11PubMed
130.
Zurück zum Zitat Specht DF. Probabilistic neural networks. Neural Netw 1990; 3: 109–18 Specht DF. Probabilistic neural networks. Neural Netw 1990; 3: 109–18
131.
Zurück zum Zitat Xue Y, Yap CW, Sun LZ, et al. Prediction of p-glycoprotein substrates by support vector machine approach. J Chem Inf Comput Sci 2004; 44: 1497–505PubMed Xue Y, Yap CW, Sun LZ, et al. Prediction of p-glycoprotein substrates by support vector machine approach. J Chem Inf Comput Sci 2004; 44: 1497–505PubMed
132.
Zurück zum Zitat Yap CW, Xue Y, Li ZR, et al. Application of support vector machines to in silico prediction of cytochrome p450 enzyme substrates and inhibitors. Curr Top Med Chem 2006; 6(15): 1593–607PubMed Yap CW, Xue Y, Li ZR, et al. Application of support vector machines to in silico prediction of cytochrome p450 enzyme substrates and inhibitors. Curr Top Med Chem 2006; 6(15): 1593–607PubMed
133.
Zurück zum Zitat Ung CY, Li H, Yap CW, et al. In silico prediction of pregnane X receptor activators by machine learning approaches. Mol Pharmacol 2007; 71(1): 158–68PubMed Ung CY, Li H, Yap CW, et al. In silico prediction of pregnane X receptor activators by machine learning approaches. Mol Pharmacol 2007; 71(1): 158–68PubMed
134.
Zurück zum Zitat Yap CW, Chen YZ. Prediction of cytochrome P450 3A4, 2D6, and 2C9 inhibitors and substrates by using support vector machines. J Chem Inf Model 2005; 45(4): 982–92PubMed Yap CW, Chen YZ. Prediction of cytochrome P450 3A4, 2D6, and 2C9 inhibitors and substrates by using support vector machines. J Chem Inf Model 2005; 45(4): 982–92PubMed
135.
Zurück zum Zitat Doucet J, Cassagne P, Trivalle C, et al. Drug-drug interactions related to hospital admission in older adults: a prospective study of 1000 patients. J Am Geriatr Soc 1996; 44: 944–8PubMed Doucet J, Cassagne P, Trivalle C, et al. Drug-drug interactions related to hospital admission in older adults: a prospective study of 1000 patients. J Am Geriatr Soc 1996; 44: 944–8PubMed
136.
Zurück zum Zitat Tulner LR, Frankfort SV, Gijsen GJPT, et al. Drug-drug interactions in a geriatric outpatient cohort: prevalence and relevance. Drugs Aging 2008; 25: 343–55PubMed Tulner LR, Frankfort SV, Gijsen GJPT, et al. Drug-drug interactions in a geriatric outpatient cohort: prevalence and relevance. Drugs Aging 2008; 25: 343–55PubMed
137.
Zurück zum Zitat Kinirons MT, O’Mahony MS. Drug metabolism and ageing. Br J Clin Pharmacol 2003; 57: 540–4 Kinirons MT, O’Mahony MS. Drug metabolism and ageing. Br J Clin Pharmacol 2003; 57: 540–4
138.
Zurück zum Zitat Turnheim K. When drug therapy gets old: pharmaco-kinetics and pharmacodynamics in elderly. Exp Gerontol 2003; 38: 843–53PubMed Turnheim K. When drug therapy gets old: pharmaco-kinetics and pharmacodynamics in elderly. Exp Gerontol 2003; 38: 843–53PubMed
139.
Zurück zum Zitat Solberg LI, Hurley JS, Roberts MH, et al. Measuring patient safety in ambulatory care: potential for identifying medical group drug-drug interaction rates using claims data. Am J Manag Care 2004 Nov; 10 (11 Pt 1): 753–9PubMed Solberg LI, Hurley JS, Roberts MH, et al. Measuring patient safety in ambulatory care: potential for identifying medical group drug-drug interaction rates using claims data. Am J Manag Care 2004 Nov; 10 (11 Pt 1): 753–9PubMed
140.
Zurück zum Zitat Horn JR, Hansten PD, Chan LN. Proposal for a new tool to evaluate drug interaction cases. Ann Pharmacother 2007; 41: 674–80PubMed Horn JR, Hansten PD, Chan LN. Proposal for a new tool to evaluate drug interaction cases. Ann Pharmacother 2007; 41: 674–80PubMed
141.
Zurück zum Zitat Ko Y, Malone DC, Skepnek GH, et al. Prescribers’ knowledge of and sources of information for potential drug-drug interactions. Drug Saf 2008; 31: 525–36PubMed Ko Y, Malone DC, Skepnek GH, et al. Prescribers’ knowledge of and sources of information for potential drug-drug interactions. Drug Saf 2008; 31: 525–36PubMed
142.
Zurück zum Zitat Tinetti ME, Bogardus Jr ST, Agostini JV. Potential pitfalls of disease-specific guidelines for patients with multiple conditions. N Engl J Med 2004; 351: 2870–4PubMed Tinetti ME, Bogardus Jr ST, Agostini JV. Potential pitfalls of disease-specific guidelines for patients with multiple conditions. N Engl J Med 2004; 351: 2870–4PubMed
143.
Zurück zum Zitat Catella-Lawson F, Reilly MP, Kapoor SC, et al. Cycloxy-genase inhibitors and the antiplatelet effects of aspirin. N Engl J Med 2001; 345: 1809–17PubMed Catella-Lawson F, Reilly MP, Kapoor SC, et al. Cycloxy-genase inhibitors and the antiplatelet effects of aspirin. N Engl J Med 2001; 345: 1809–17PubMed
144.
Zurück zum Zitat MacDonald TM, Wei L. Effect of ibuprofen on cardiprotective effect of aspirin. Lancet 2003; 361: 573–4PubMed MacDonald TM, Wei L. Effect of ibuprofen on cardiprotective effect of aspirin. Lancet 2003; 361: 573–4PubMed
145.
Zurück zum Zitat Curtis JP, Wang Y, Portnay EL, et al. Aspirin, ibuprofen, and mortality after myocardial infarction: retrospective cohort study. BMJ 2003; 327: 1322–3PubMed Curtis JP, Wang Y, Portnay EL, et al. Aspirin, ibuprofen, and mortality after myocardial infarction: retrospective cohort study. BMJ 2003; 327: 1322–3PubMed
146.
Zurück zum Zitat Kimmel SE, Berlin JA, Reilly M, et al. The effects of non-selective non-aspirin non-steroidal anti-inflammatory medications on the risk of nonfatal myocardial infarction and their interaction with aspirin. J Am Coll Cardiol 2004; 43: 985–90PubMed Kimmel SE, Berlin JA, Reilly M, et al. The effects of non-selective non-aspirin non-steroidal anti-inflammatory medications on the risk of nonfatal myocardial infarction and their interaction with aspirin. J Am Coll Cardiol 2004; 43: 985–90PubMed
147.
Zurück zum Zitat Laprise R. Do too many cooks spoil the broth? Multiple physician involvement in medical management of elderly patients and potentially inappropriate drug combinations. CMAJ 1996; 154: 1177–84PubMed Laprise R. Do too many cooks spoil the broth? Multiple physician involvement in medical management of elderly patients and potentially inappropriate drug combinations. CMAJ 1996; 154: 1177–84PubMed
148.
Zurück zum Zitat Green JL, Hawley JN, Rask KJ. Is the number of prescribing physician an independent risk factors for adverse drug events in an elderly outpatient population? Am J Geriatr Pharmacother 2007; 5: 31–9PubMed Green JL, Hawley JN, Rask KJ. Is the number of prescribing physician an independent risk factors for adverse drug events in an elderly outpatient population? Am J Geriatr Pharmacother 2007; 5: 31–9PubMed
149.
Zurück zum Zitat Impicciatore P, Choonara I, Clarkson A, et al. Incidence of adverse drug reactions in paediatric in/out-patients: a systematic review and meta-analysis of prospective studies. Br J Clin Pharmacol 2001; 52(1): 77–83PubMed Impicciatore P, Choonara I, Clarkson A, et al. Incidence of adverse drug reactions in paediatric in/out-patients: a systematic review and meta-analysis of prospective studies. Br J Clin Pharmacol 2001; 52(1): 77–83PubMed
150.
Zurück zum Zitat Horen B, Montastruc JL, Lapeyre-Mestre M. Adverse drug reactions and off-label drug use in paediatric outpatients. Br J Clin Pharmacol 2002; 54(6): 665–70PubMed Horen B, Montastruc JL, Lapeyre-Mestre M. Adverse drug reactions and off-label drug use in paediatric outpatients. Br J Clin Pharmacol 2002; 54(6): 665–70PubMed
151.
Zurück zum Zitat Roberts R, Rodriguez W, Murphy D, et al. Pediatric drug labeling: improving the safety and efficacy of pediatric therapies. JAMA 2003; 290(7): 905–11PubMed Roberts R, Rodriguez W, Murphy D, et al. Pediatric drug labeling: improving the safety and efficacy of pediatric therapies. JAMA 2003; 290(7): 905–11PubMed
152.
Zurück zum Zitat Pandolfini C, Bonati M. A literature review on off-label drug use in children. Eur J Pediatr 2005; 164(9): 552–8PubMed Pandolfini C, Bonati M. A literature review on off-label drug use in children. Eur J Pediatr 2005; 164(9): 552–8PubMed
153.
Zurück zum Zitat Marchetti F, Bua J, Ventura Alessandro Notarangelo LD, et al. The awareness among paediatricians of off-label prescribing in children: a survey in Italian hospitals. Eur J Clin Pharmacol 2007; 63: 81–5PubMed Marchetti F, Bua J, Ventura Alessandro Notarangelo LD, et al. The awareness among paediatricians of off-label prescribing in children: a survey in Italian hospitals. Eur J Clin Pharmacol 2007; 63: 81–5PubMed
154.
Zurück zum Zitat Clavenna A, Bonati M, Rossi E, et al. Increase in non-evidence based use of antidepressants in children is cause for concern. BMJ 2004; 328(7441): 711–2PubMed Clavenna A, Bonati M, Rossi E, et al. Increase in non-evidence based use of antidepressants in children is cause for concern. BMJ 2004; 328(7441): 711–2PubMed
155.
Zurück zum Zitat Anthony M, Berg MJ. Biologic and molecular mechanisms for sex differences in pharmacokinetics, pharmacodynamics, and pharmacogenetics: part II. J Womens Health Gend Based Med 2002; 11(7): 617–29PubMed Anthony M, Berg MJ. Biologic and molecular mechanisms for sex differences in pharmacokinetics, pharmacodynamics, and pharmacogenetics: part II. J Womens Health Gend Based Med 2002; 11(7): 617–29PubMed
156.
Zurück zum Zitat Gandhi M, Aweeka F, Greenblatt RM, et al. Sex differences in pharmacokinetics and pharmacodynamics. Annu Rev Pharmacol Toxicol 2004; 44: 499–523PubMed Gandhi M, Aweeka F, Greenblatt RM, et al. Sex differences in pharmacokinetics and pharmacodynamics. Annu Rev Pharmacol Toxicol 2004; 44: 499–523PubMed
157.
Zurück zum Zitat Ebert SN, Liu XK, Woosley RL. Female gender as a risk factor for drug-induced cardiac arrhythmias: evaluation of clinical and experimental evidence. J Womens Health 1998; 7(5): 547–57PubMed Ebert SN, Liu XK, Woosley RL. Female gender as a risk factor for drug-induced cardiac arrhythmias: evaluation of clinical and experimental evidence. J Womens Health 1998; 7(5): 547–57PubMed
158.
Zurück zum Zitat Spinewine A, Schmader KE, Barber N, et al. Appropriate prescribing in elderly people: how well can it be measured and optimised? Lancet 2007; 370: 173–84PubMed Spinewine A, Schmader KE, Barber N, et al. Appropriate prescribing in elderly people: how well can it be measured and optimised? Lancet 2007; 370: 173–84PubMed
159.
Zurück zum Zitat Ozdemir V, Shear NH, Kalow W. What will be the role of pharmacogenetics in evaluating drug safety and minimising adverse effects? Drug Saf 2001; 24(2): 75–85PubMed Ozdemir V, Shear NH, Kalow W. What will be the role of pharmacogenetics in evaluating drug safety and minimising adverse effects? Drug Saf 2001; 24(2): 75–85PubMed
160.
Zurück zum Zitat Pirmohamed M, Park BK. Cytochrome P450 enzyme polymorphisms and adverse drug reactions. Toxicology 2003; 192(1): 23–32PubMed Pirmohamed M, Park BK. Cytochrome P450 enzyme polymorphisms and adverse drug reactions. Toxicology 2003; 192(1): 23–32PubMed
161.
Zurück zum Zitat Preskorn SH. Clinically relevant pharmacology of selective serotonin reuptake inhibitors: an overview with emphasis on pharmacokinetics and effects on oxidative drug metabolism. Clin Pharmacokinet 1997; 32 Suppl. 1: 1–21PubMed Preskorn SH. Clinically relevant pharmacology of selective serotonin reuptake inhibitors: an overview with emphasis on pharmacokinetics and effects on oxidative drug metabolism. Clin Pharmacokinet 1997; 32 Suppl. 1: 1–21PubMed
163.
Zurück zum Zitat Sadeque AJ, Wandel C, He H, et al. Increased drug delivery to the brain by P-glycoprotein inhibition. Clin Pharmacol Ther 2000; 68(3): 231–7PubMed Sadeque AJ, Wandel C, He H, et al. Increased drug delivery to the brain by P-glycoprotein inhibition. Clin Pharmacol Ther 2000; 68(3): 231–7PubMed
164.
Zurück zum Zitat Iannetti P, Spalice A, Parisi P. Calcium-channel blocker verapamil administration in prolonged and refractory status epilepticus. Epilepsia 2005; 46(6): 967–9PubMed Iannetti P, Spalice A, Parisi P. Calcium-channel blocker verapamil administration in prolonged and refractory status epilepticus. Epilepsia 2005; 46(6): 967–9PubMed
165.
Zurück zum Zitat Humannheimer B, Ulfvarson J, Eklof S, et al. A clinical evaluation of the Janus Web application, a software screening tool for drug-drug interactions. Eur J Clin Pharmacol 2008; 64(12): 1209–14 Humannheimer B, Ulfvarson J, Eklof S, et al. A clinical evaluation of the Janus Web application, a software screening tool for drug-drug interactions. Eur J Clin Pharmacol 2008; 64(12): 1209–14
166.
Zurück zum Zitat Hu Z, Yang X, Ho PC. Herb-drug interactions: a literature review. Drugs 2005; 65(9): 1239–82PubMed Hu Z, Yang X, Ho PC. Herb-drug interactions: a literature review. Drugs 2005; 65(9): 1239–82PubMed
167.
Zurück zum Zitat Peng CC, Peter A. Incidence and severity of potential drug-dietary supplement interactions in primary care patients: an exploratory study of 2 outpatient practices. Arch Intern Med 2004; 164: 630–6PubMed Peng CC, Peter A. Incidence and severity of potential drug-dietary supplement interactions in primary care patients: an exploratory study of 2 outpatient practices. Arch Intern Med 2004; 164: 630–6PubMed
168.
Zurück zum Zitat Poirier TI, Giudici R. Evaluation of drug interaction microcomputer software: an update comparison. Hosp Pharmacy 1995; 30: 888–94 Poirier TI, Giudici R. Evaluation of drug interaction microcomputer software: an update comparison. Hosp Pharmacy 1995; 30: 888–94
169.
Zurück zum Zitat Halkin H, Katzir I, Kurhuman I, et al. Preventing drug interactions by online prescription screening in community pharmacies and medical practices. Clin Pharmaco Ther 2001; 69: 260–5 Halkin H, Katzir I, Kurhuman I, et al. Preventing drug interactions by online prescription screening in community pharmacies and medical practices. Clin Pharmaco Ther 2001; 69: 260–5
170.
Zurück zum Zitat Heikkila T, Lekandr T, Raunio H. Use of an online surveillance system for screening drug interactions in prescriptions in community pharmacies. Eur J Clin Pharmacol 2006; 62: 661–5PubMed Heikkila T, Lekandr T, Raunio H. Use of an online surveillance system for screening drug interactions in prescriptions in community pharmacies. Eur J Clin Pharmacol 2006; 62: 661–5PubMed
171.
Zurück zum Zitat Vitry AI. Comparative assessment of four drug interaction compendia. Br J Clin Pharmacol 2007; 63(6): 709–14PubMed Vitry AI. Comparative assessment of four drug interaction compendia. Br J Clin Pharmacol 2007; 63(6): 709–14PubMed
172.
Zurück zum Zitat Valuk RJ, Byrns PJ, Fulda TR, et al. Methodology for assessing drug-drug interaction evidence in the peerreviewed medical literature. Curr Ther Res Clin Exp 2000; 61: 553–68 Valuk RJ, Byrns PJ, Fulda TR, et al. Methodology for assessing drug-drug interaction evidence in the peerreviewed medical literature. Curr Ther Res Clin Exp 2000; 61: 553–68
173.
Zurück zum Zitat Fulda TR, Valuk RJ, Zanden JV, et al. Disagreement among drug compendia on inclusion and ratings of drug-drug interactions. Curr Ther Res Clin Exp 2000; 61: 540–8 Fulda TR, Valuk RJ, Zanden JV, et al. Disagreement among drug compendia on inclusion and ratings of drug-drug interactions. Curr Ther Res Clin Exp 2000; 61: 540–8
174.
Zurück zum Zitat Malone DC, Hutcins DS, Hauoert H, et al. Assessment of potential drug-drug interactions with a prescription claims database. Am J Health Syst Pharm 2005; 62: 1983–91PubMed Malone DC, Hutcins DS, Hauoert H, et al. Assessment of potential drug-drug interactions with a prescription claims database. Am J Health Syst Pharm 2005; 62: 1983–91PubMed
175.
Zurück zum Zitat Platt R, Madre L, Reynolds R, et al. Active drug safety surveillance: a tool to improve public health. Pharmacoepidemiol Drug Saf 2008; 17: 1175–82PubMed Platt R, Madre L, Reynolds R, et al. Active drug safety surveillance: a tool to improve public health. Pharmacoepidemiol Drug Saf 2008; 17: 1175–82PubMed
176.
Zurück zum Zitat Swen JJ, de Goede AL, Grandia L, et al. Pharmacogenetics: from bench to byte. Clin Pharmacol Ther 2008; 83: 781–7PubMed Swen JJ, de Goede AL, Grandia L, et al. Pharmacogenetics: from bench to byte. Clin Pharmacol Ther 2008; 83: 781–7PubMed
177.
Zurück zum Zitat Rochon PA, Gurwitz JH. Optimising drug treatment for elderly people: the prescribing cascade. BMJ 1997; 315: 1096–9PubMed Rochon PA, Gurwitz JH. Optimising drug treatment for elderly people: the prescribing cascade. BMJ 1997; 315: 1096–9PubMed
Metadaten
Titel
Predicting the Clinical Relevance of Drug Interactions From Pre-Approval Studies
verfasst von
Silvio Caccia
Silvio Garattini
Luca Pasina
Dr Alessandro Nobili
Publikationsdatum
01.11.2009
Verlag
Springer International Publishing
Erschienen in
Drug Safety / Ausgabe 11/2009
Print ISSN: 0114-5916
Elektronische ISSN: 1179-1942
DOI
https://doi.org/10.2165/11316630-000000000-00000

Weitere Artikel der Ausgabe 11/2009

Drug Safety 11/2009 Zur Ausgabe