In vitro inhibition of human UDP-glucuronosyltransferase (UGT) 1A1 by osimertinib, and prediction of in vivo drug-drug interactions

In vitro inhibitory effects of selumetinib on activity of human UDP-glucuronosyltransferases and prediction of in vivo drug-drug interactions

Selumetinib is an oral, effective, and selective tyrosine kinase inhibitor targeting mitogen-activated protein kinase 1 and 2 (MEK1/2), which is clinically active in multiple tumor types, such as neurofibromatosis type 1 (NF1), melanoma, gliomas and non-small cell lung cancer (NSCLC). The purpose of this article was to assess the effects of selumetinib on the activities of twelve human UDP-glucosyltransferases (UGTs) including UGT1A1, 1A3, 1A4, 1A6, 1A7, 1A8, 1A9, 1A10, 2B4, 2B7, 2B15, and 2B17, and its potential for inducing clinical drug-drug interactions (DDIs). The results demonstrated that selumetinib potently inhibited the activity of UGT2B7 through the mechanism of mixed inhibition with the inhibition constant value of 5.79 ± 0.65 μM. Furthermore, the plasma concentration of UGT2B7 substrate as the co-administered drug was predicted to be increased by at least 84 % when patients took selumetinib 75 mg twice daily, suggesting a high potential to induce clinical DDIs. Selumetinib exhibited weak inhibitory effects on other human UGTs and was unlikely to trigger off UGTs-mediated DDIs except for UGT2B7. Therefore, the combination of selumetinib with the substrate drug of UGT2B7 requires additional attention to avoid adverse events in clinical treatment.

Inhibition of human UDP-glucuronosyltransferase enzyme by entrectinib: Implications for drug-drug interactions

As a new type of oral tyrosine kinase inhibitor, entrectinib can act on multiple targets and exert efficacy and has been approved for the treatment of non-small cell lung cancer (NSCLC) and solid tumors. However, whether entrectinib affects the activities of recombinant human UDP-glucuronosyltransferases (UGTs) remains unclear. Herein, we aimed to investigate the inhibitory effects of entrectinib on human UGTs and to assess the potential risk of causing drug-drug interactions (DDIs) based on the inhibition against UGTs. High-performance liquid chromatography (HPLC) was used to evaluate the inhibitory effects of entrectinib on UGTs according to the product formation rate of UGT substrate with or without entrectinib, and the inhibition kinetics experiment was conducted to assess the inhibitory type of entrectinib on UGTs. Our results showed that entrectinib exhibited extensive inhibitory effects on most human UGTs, and especially inhibited the activities of UGT1A7, UGT1A8, and UGT2B15 with Ki (Inhibition constant) of lower than 5 μM (0.95-4.38 μM). Furthermore, the results from quantitative prediction research suggested that the combination of entrectinib at 600 mg/day with substrates primarily metabolized by hepatic UGT2B15 or intestinal UGT1A7 and UGT1A8 might cause clinical DDIs. Thus, special attention should be paid to avoid adverse reactions induced by DDIs when co-administration of entrectinib and drugs metabolized by UGTs.

In vitro effects of opicapone on activity of human UDP-glucuronosyltransferases isoforms

Catechol-O-methyltransferase (COMT) inhibitors are widely used as an add-on treatment to levodopa in adults with Parkinson's disease. It has been evidenced that the second-generation COMT inhibitors entacapone and tolcapone are potent inhibitors on human UDP-glucosyltransferases (UGTs), while the effect of the third-generation COMT inhibitor opicapone on human UGTs activities is unclear. The purpose of this study is to systemically investigate the effects of opicapone on human UGTs activities, and also to assess the potential risk of drug-drug interactions (DDIs) associated with opicapone. Our results indicated that opicapone is a broad-spectrum inhibitor of UGTs. Particularly, opicapone exhibited potent inhibition against UGT1A1, 1A7, 1A8, 1A9, and 1A10, with a range of inhibition constant K_i values of 1.31-10.58 µM. Furthermore, the DDI risk was quantitatively predicted by using the in vitro-in vivo extrapolation (IVIVE). The prediction suggested that co-administration of opicapone at 25 mg/day or 50 mg/day with drugs primarily cleared by hepatic UGT1A9 or intestinal UGT1A1, 1A7, 1A8, 1A9, or 1A10 might result in potential DDI via inhibition of intestinal or hepatic UGTs.

Potential herb-drug interaction risk of thymoquinone and phenytoin

Thymoquinone is a main bioactive compound of Nigella sativa L. (N.sativa), which has been used for clinical studies in the treatment of seizures due to its beneficial neuroprotective activity and antiepileptic effects. It has been evidenced that thymoquinone may inhibit the activity of cytochrome P450 2C9 (CYP2C9). However, little is known about the effect of thymoquinone or N.sativa on the pharmacokinetic behavior of phenytoin, a second-line drug widely used in the management of status epilepticus. In this study, we systematically investigated the risk of the potential pharmacokinetic drug interaction between thymoquinone and phenytoin. The inhibitory effect of thymoquinone on phenytoin hydroxylation activity by CYP2C9 was determined using UPLC-MS/MS by measuring the formation rates for p-hydroxyphenytoin (p-HPPH). The potential for drug-interaction between thymoquinone and phenytoin was quantitatively predicted by using in vitro-in vivo extrapolation (IVIVE). Our data demonstrated that thymoquinone displayed effective inhibition against phenytoin hydroxylation activity. Enzyme kinetic studies showed that thymoquinone exerted a competitive inhibition against phenytoin hydroxylation with a K_i value of 4.45 ± 0.51 μM. The quantitative prediction from IVIVE suggested that the co-administration of thymoquinone (>18 mg/day) or thymoquinone-containing herbs (N.sativa > 1 g/day or N.sativa oil >1 g/day) might result in a clinically significant herb-drug interactions. Additional caution should be taken when thymoquinone or thymoquinone-containing herbs are co-administered with phenytoin, which may induce unexpected potential herb-drug interactions via the inhibition of CYP2C9.

Metabolism‑related pharmacokinetic drug‑drug interactions with poly (ADP‑ribose) polymerase inhibitors (Review)

Poly (ADP‑ribose) polymerase (PARP) inhibitors, including olaparib, niraparib, rucaparib, talazoparib and veliparib, have emerged as one of the most exciting new treatments for solid tumors, particularly in patients with breast‑related cancer antigen 1/2 mutations. Oral administration is convenient and shows favorable compliance with the majority of patients, but it may be affected by numerous factors, including food, metabolic enzymes and transporters. These interactions may be associated with serious adverse drug reactions or may reduce the treatment efficacy of PARP inhibitors. In fact, numerous pharmacokinetic (PK)‑based drug‑drug interactions (DDIs) involve the metabolism of PARP inhibitors, particularly those metabolized via cytochrome P450 enzymes. The present review aims to characterize and summarize the metabolism‑related PK‑based DDIs of PARP inhibitors, and to provide specific recommendations for reducing the risk of clinically significant DDIs.