Identification of human cytochrome P(450)s that metabolise anti-parasitic drugs and predictions of in vivo drug hepatic clearance from in vitro data.

Article Details

Citation

Li XQ, Bjorkman A, Andersson TB, Gustafsson LL, Masimirembwa CM

Identification of human cytochrome P(450)s that metabolise anti-parasitic drugs and predictions of in vivo drug hepatic clearance from in vitro data.

Eur J Clin Pharmacol. 2003 Sep;59(5-6):429-42. Epub 2003 Aug 12.

PubMed ID
12920490 [ View in PubMed
]
Abstract

OBJECTIVE: Knowledge about the metabolism of anti-parasitic drugs (APDs) will be helpful in ongoing efforts to optimise dosage recommendations in clinical practise. This study was performed to further identify the cytochrome P(450) (CYP) enzymes that metabolise major APDs and evaluate the possibility of predicting in vivo drug clearances from in vitro data. METHODS: In vitro systems, rat and human liver microsomes (RLM, HLM) and recombinant cytochrome P(450) (rCYP), were used to determine the intrinsic clearance (CL(int)) and identify responsible CYPs and their relative contribution in the metabolism of 15 commonly used APDs. RESULTS AND DISCUSSION: CL(int) determined in RLM and HLM showed low (r(2)=0.50) but significant ( P<0.01) correlation. The CL(int) values were scaled to predict in vivo hepatic clearance (CL(H)) using the 'venous equilibrium model'. The number of compounds with in vivo human CL data after intravenous administration was low ( n=8), and the range of CL values covered by these compounds was not appropriate for a reasonable quantitative in vitro-in vivo correlation analysis. Using the CL(H) predicted from the in vitro data, the compounds could be classified into three different categories: high-clearance drugs (>70% liver blood flow; amodiaquine, praziquantel, albendazole, thiabendazole), low-clearance drugs (<30% liver blood flow; chloroquine, dapsone, diethylcarbamazine, pentamidine, primaquine, pyrantel, pyrimethamine, tinidazole) and intermediate clearance drugs (artemisinin, artesunate, quinine). With the exception of artemisinin, which is a high clearance drug in vivo, all other compounds were classified using in vitro data in agreement with in vivo observations. We identified hepatic CYP enzymes responsible for metabolism of some compounds (praziquantel-1A2, 2C19, 3A4; primaquine-1A2, 3A4; chloroquine-2C8, 2D6, 3A4; artesunate-2A6; pyrantel-2D6). For the other compounds, we confirmed the role of previously reported CYPs for their metabolism and identified other CYPs involved which had not been reported before. CONCLUSION: Our results show that it is possible to make in vitro-in vivo predictions of high, intermediate and low CL(int) drug categories. The identified CYPs for some of the drugs provide a basis for how these drugs are expected to behave pharmacokinetically and help in predicting drug-drug interactions in vivo.

DrugBank Data that Cites this Article

Drugs
Drug Enzymes
DrugEnzymeKindOrganismPharmacological ActionActions
AlbendazoleCytochrome P450 3A4ProteinHumans
Unknown
Substrate
Details
ChloroquineCytochrome P450 2C8ProteinHumans
Unknown
Substrate
Details
ChloroquineCytochrome P450 3A4ProteinHumans
Unknown
Substrate
Details
PentamidineCytochrome P450 1A1ProteinHumans
Unknown
Substrate
Details
PentamidineCytochrome P450 2D6ProteinHumans
Unknown
Substrate
Details
PentamidineCytochrome P450 3A5ProteinHumans
Unknown
Substrate
Details
PentamidineCytochrome P450 4A11ProteinHumans
Unknown
Substrate
Details
PraziquantelCytochrome P450 1A2ProteinHumans
No
Substrate
Details
PraziquantelCytochrome P450 2C19ProteinHumans
No
Substrate
Details
PraziquantelCytochrome P450 3A4ProteinHumans
No
Substrate
Details
PrimaquineCytochrome P450 1A2ProteinHumans
Unknown
Substrate
Inducer
Details
PyrantelCytochrome P450 4A11ProteinHumans
Unknown
Substrate
Details
Drug Reactions
Reaction
Details
Drug Interactions
DrugsInteraction