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Pihlaja T, Kiiski I, Sikanen T. HLM chip - A microfluidic approach to study the mechanistic basis of cytochrome P450 inhibition using immobilized human liver microsomes. Eur J Pharm Sci 2024; 197:106773. [PMID: 38641124 DOI: 10.1016/j.ejps.2024.106773] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2024] [Revised: 03/29/2024] [Accepted: 04/16/2024] [Indexed: 04/21/2024]
Abstract
Cytochrome P450 (CYP) system is a critical elimination route to most pharmaceuticals in human, but also prone to drug-drug interactions arising from the fact that concomitantly administered pharmaceuticals inhibit one another's CYP metabolism. The most severe form of CYP interactions is irreversible inhibition, which results in permanent inactivation of the critical CYP pathway and is only restored by de novo synthesis of new functional enzymes. In this study, we conceptualize a microfluidic approach to mechanistic CYP inhibition studies using human liver microsomes (HLMs) immobilized onto the walls of a polymer micropillar array. We evaluated the feasibility of these HLM chips for CYP inhibition studies by establishing the stability and the enzyme kinetics for a CYP2C9 model reaction under microfluidic flow and determining the half-maximal inhibitory concentrations (IC50) of three human CYP2C9 inhibitors (sulfaphenazole, tienilic acid, miconazole), including evaluation of their inhibition mechanisms and nonspecific microsomal binding on chip. Overall, the enzyme kinetics of CYP2C9 metabolism on the HLM chip (KM = 127 ± 55 µM) was shown to be similar to that of static HLM incubations (KM = 114 ± 14 µM) and the IC50 values toward CYP2C9 derived from the microfluidic assays (sulfaphenazole 0.38 ± 0.09 µM, tienilic acid 3.4 ± 0.6 µM, miconazole 0.54 ± 0.09 µM) correlated well with those determined using current standard IC50 shift assays. Most importantly, the HLM chip could distinguish between reversible (sulfaphenazole) and irreversible (tienilic acid) enzyme inhibitors in a single, automated experiment, indicating the great potential of the HLM chip to simplify current workflows used in mechanistic CYP inhibition studies. Furthermore, the results suggest that the HLM chip can also identify irreversible enzyme inhibitors, which are not necessarily resulting in a time-dependent inhibition (like suicide inhibitors), but whose inhibition mechanism is based on other kind of covalent or irreversible interaction with the CYP system. With our HLM chip approach, we could identify miconazole as such a compound that nonselectively inhibits the human CYP system with a prolonged, possibly irreversible impact in vitro, even if it is not a time-dependent inhibitor according to the IC50 shift assay.
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Affiliation(s)
- Tea Pihlaja
- Drug Research Program, Faculty of Pharmacy, University of Helsinki, Finland; Helsinki Institute of Sustainability Science, University of Helsinki, Finland
| | - Iiro Kiiski
- Drug Research Program, Faculty of Pharmacy, University of Helsinki, Finland
| | - Tiina Sikanen
- Drug Research Program, Faculty of Pharmacy, University of Helsinki, Finland; Helsinki Institute of Sustainability Science, University of Helsinki, Finland.
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2
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Seo JI, Jin GW, Yoo HH. Pharmacokinetic considerations for enhancing drug repurposing opportunities of anthelmintics: Niclosamide as a case study. Biomed Pharmacother 2024; 173:116394. [PMID: 38461686 DOI: 10.1016/j.biopha.2024.116394] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Revised: 03/03/2024] [Accepted: 03/06/2024] [Indexed: 03/12/2024] Open
Abstract
Recently, anthelmintics have showcased versatile therapeutic potential in addressing various diseases, positioning them as promising candidates for drug repurposing. However, challenges such as low bioavailability and a lack of a solid pharmacokinetic basis impede successful repurposing. To overcome these flaws, we aimed to investigate the key pharmacokinetic factors of anthelmintics mainly focusing on the absorption, distribution, and metabolism profiles by employing niclosamide (NIC) as a model drug. The intestinal permeability of NIC is significantly influenced by solubility and doesn't function as a substrate for efflux transporters. It showed high plasma protein binding. Also, the metabolism study indicated that NIC would have low metabolic stability by extensively undergoing the intestinal glucuronidation. Additionally, we investigated the CYP-mediated drug-drug interaction potential of NIC in both direct and time-dependent ways. NIC showed strong inhibitory effects on CYP1A2 and CYP2C8 and is not likely to become a time-dependent inhibitor. Our findings could contribute to the identification of essential factors in the pharmacokinetics of anthelmintics, potentially facilitating their repositioning.
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Affiliation(s)
- Jeong In Seo
- Pharmacomicrobiomics Research Center and College of Pharmacy, Hanyang University, Ansan, Gyeonggi-Do, South Korea
| | - Geun-Woo Jin
- R&D Center CnPharm Co. LTD, Seoul 03759, South Korea
| | - Hye Hyun Yoo
- Pharmacomicrobiomics Research Center and College of Pharmacy, Hanyang University, Ansan, Gyeonggi-Do, South Korea.
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3
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Pang NH, Xu RA, Chen LG, Chen Z, Hu GX, Zhang BW. Inhibitory effects of the main metabolites of Apatinib on CYP450 isozymes in human and rat liver microsomes. Toxicol In Vitro 2024; 95:105739. [PMID: 38042355 DOI: 10.1016/j.tiv.2023.105739] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Revised: 11/05/2023] [Accepted: 11/22/2023] [Indexed: 12/04/2023]
Abstract
PURPOSE The inhibitory effect of Apatinib on cytochrome P450 (CYP450) enzymes has been studied. However, it is unknown whether the inhibition is related to the major metabolites, M1-1, M1-2 and M1-6. METHODS A 5-in-1 cocktail system composed of CYP2B6/Cyp2b1, CYP2C9/Cyp2c11, CYP2E1/Cyp2e1, CYP2D6/Cyp2d1 and CYP3A/Cyp3a2 was used in this study. Firstly, the effects of APA and its main metabolites on the activities of HLMs, RLMs and recombinant isoforms were examined. The reaction mixture included HLMs, RLMs or recombinant isoforms (CYP3A4.1, CYP2D6.1, CYP2D6.10 or CYP2C9.1), analyte (APA, M1-1, M1-2 or M1-6), probe substrates. The reactions were pre-incubated for 5 min at 37 °C, followed by the addition of NAPDH to initiate the reactions, which continued for 40 min. Secondly, IC50 experiments were conducted to determine if the inhibitions were reversible. The reaction mixture of the "+ NADPH Group" included HLMs or RLMs, 0 to 100 of μM M1-1 or M1-2, probe substrates. The reactions were pre-incubated for 5 min at 37 °C, and then NAPDH was added to initiate reactions, which proceeded for 40 min. The reaction mixture of the "- NADPH Group" included HLMs or RLMs, probe substrates, NAPDH. The reactions were pre-incubated for 30 min at 37 °C, and then 0 to 100 μM of M1-1 or M1-2 was added to initiate the reactions, which proceeded for 40 min. Finally, the reversible inhibition of M1-1 and M1-2 on isozymes was determined. The reaction mixture included HLMs or RLMs, 0 to 10 μM of M1-1 or M1-2, probe substrates with concentrations ranging from 0.25Km to 2Km. RESULTS Under the influence of M1-6, the activity of CYP2B6, 2C9, 2E1 and 3A4/5 was increased to 193.92%, 210.82%, 235.67% and 380.12% respectively; the activity of CYP2D6 was reduced to 92.61%. The inhibitory effects of M1-1 on CYP3A4/5 in HLMs and on Cyp2d1 in RLMs, as well as the effect of M1-2 on CYP3A in HLMs, were determined to be noncompetitive inhibition, with the Ki values equal to 1.340 μM, 1.151 μM and 1.829 μM, respectively. The inhibitory effect of M1-1 on CYP2B6 and CYP2D6 in HLMs, as well as the effect of M1-2 on CYP2C9 and CYP2D6 in HLMs, were determined to be competitive inhibition, with the Ki values equal to 12.280 μM, 2.046 μM, 0.560 μM and 4.377 μM, respectively. The inhibitory effects of M1-1 on CYP2C9 in HLMs and M1-2 on Cyp2d1 in RLMs were determined to be mixed-type, with the Ki values equal to 0.998 μM and 0.884 μM. The parameters could not be obtained due to the atypical kinetics of CYP2E1 in HLMs under the impact of M1-2. CONCLUSIONS M1-1 and M1-2 exhibited inhibition for several CYP450 isozymes, especially CYP2B6, 2C9, 2D6 and 3A4/5. This observation may uncover potential drug-drug interactions and provide valuable insights for the clinical application of APA.
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Affiliation(s)
- Ni-Hong Pang
- Department of Pharmacy, The Third Affiliated Hospital of Shanghai University (Wenzhou People's Hospital), Wenzhou, Zhejiang 325000, China
| | - Ren-Ai Xu
- Department of Pharmacy, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang 325000, China
| | - Lian-Guo Chen
- Department of Pharmacy, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang 325000, China
| | - Zhe Chen
- Department of Pharmacy, The Third Affiliated Hospital of Shanghai University (Wenzhou People's Hospital), Wenzhou, Zhejiang 325000, China
| | - Guo-Xin Hu
- School of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou, Zhejiang 325000, China.
| | - Bo-Wen Zhang
- Department of Pharmacy, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang 325000, China.
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Liu R, Ma B, Mok MM, Murray BP, Subramanian R, Lai Y. Assessing Pleiotropic Effects of a Mixed-Mode Perpetrator Drug, Rifampicin, by Multiple Endogenous Biomarkers in Dogs. Drug Metab Dispos 2024; 52:236-241. [PMID: 38123963 DOI: 10.1124/dmd.123.001564] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Revised: 11/21/2023] [Accepted: 12/07/2023] [Indexed: 12/23/2023] Open
Abstract
Rifampicin (RIF) is a mixed-mode perpetrator that produces pleiotropic effects on liver cytochrome P450 enzymes and drug transporters. To assess the complex drug-drug interaction liabilities of RIF in vivo, a known probe substrate, midazolam (MDZ), along with multiple endogenous biomarkers were simultaneously monitored in beagle dogs before and after a 7-day treatment period by RIF at 20 mg/kg per day. Confirmed by the reduced MDZ plasma exposure and elevated 4β-hydroxycholesterol (4β-HC, biomarker of CYP3A activities) level, CYP3A was significantly induced after repeated RIF doses, and such induction persisted for 3 days after cessation of the RIF administration. On the other hand, increased plasma levels of coproporphyrin (CP)-I and III [biomarkers of organic anion transporting polypeptides 1b (Oatp1b) activities] were observed after the first dose of RIF. Plasma CPs started to decline as RIF exposure decreased, and they returned to baseline 3 days after cessation of the RIF administration. The data suggested the acute (inhibitory) and chronic (inductive) effects of RIF on Oatp1b and CYP3A enzymes, respectively, and a 3-day washout period is deemed adequate to remove superimposed Oatp1b inhibition from CYP3A induction. In addition, apparent self-induction of RIF was observed as its terminal half-life was significantly altered after multiple doses. Overall, our investigation illustrated the need for appropriate timing of modulator dosing to differentiate between transporter inhibition and enzyme induction. As further indicated by the CP data, induction of Oatp1b activities was not likely after repeated RIF administration. SIGNIFICANCE STATEMENT: This investigation demonstrated the utility of endogenous biomarkers towards complex drug-drug interactions by rifampicin (RIF) and successfully determined the optimal timing to differentiate between transporter inhibition and enzyme induction. Based on experimental evidence, Oatp1b induction following repeated RIF administration was unlikely, and apparent self-induction of RIF elimination was observed.
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Affiliation(s)
- Renmeng Liu
- Drug Metabolism, Gilead Sciences Inc., Foster City, California
| | - Bin Ma
- Drug Metabolism, Gilead Sciences Inc., Foster City, California
| | - Marilyn M Mok
- Drug Metabolism, Gilead Sciences Inc., Foster City, California
| | | | | | - Yurong Lai
- Drug Metabolism, Gilead Sciences Inc., Foster City, California
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5
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Lee J, Beers JL, Geffert RM, Jackson KD. A Review of CYP-Mediated Drug Interactions: Mechanisms and In Vitro Drug-Drug Interaction Assessment. Biomolecules 2024; 14:99. [PMID: 38254699 PMCID: PMC10813492 DOI: 10.3390/biom14010099] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Revised: 01/02/2024] [Accepted: 01/08/2024] [Indexed: 01/24/2024] Open
Abstract
Drug metabolism is a major determinant of drug concentrations in the body. Drug-drug interactions (DDIs) caused by the co-administration of multiple drugs can lead to alteration in the exposure of the victim drug, raising safety or effectiveness concerns. Assessment of the DDI potential starts with in vitro experiments to determine kinetic parameters and identify risks associated with the use of comedication that can inform future clinical studies. The diverse range of experimental models and techniques has significantly contributed to the examination of potential DDIs. Cytochrome P450 (CYP) enzymes are responsible for the biotransformation of many drugs on the market, making them frequently implicated in drug metabolism and DDIs. Consequently, there has been a growing focus on the assessment of DDI risk for CYPs. This review article provides mechanistic insights underlying CYP inhibition/induction and an overview of the in vitro assessment of CYP-mediated DDIs.
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Affiliation(s)
- Jonghwa Lee
- Division of Pharmacotherapy and Experimental Therapeutics, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA; (J.L.B.); (R.M.G.)
| | | | | | - Klarissa D. Jackson
- Division of Pharmacotherapy and Experimental Therapeutics, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA; (J.L.B.); (R.M.G.)
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6
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Hill J, Jones RM, Crich D. Discovery of a Hydroxylamine-Based Brain-Penetrant EGFR Inhibitor for Metastatic Non-Small-Cell Lung Cancer. J Med Chem 2023; 66:15477-15492. [PMID: 37934858 PMCID: PMC10683025 DOI: 10.1021/acs.jmedchem.3c01669] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Revised: 10/12/2023] [Accepted: 10/18/2023] [Indexed: 11/09/2023]
Abstract
Metastases to the brain remain a significant problem in lung cancer, as treatment by most small-molecule targeted therapies is severely limited by efflux transporters at the blood-brain barrier (BBB). Here, we report the discovery of a selective, orally bioavailable, epidermal growth factor receptor (EGFR) inhibitor, 9, that exhibits high brain penetration and potent activity in osimertinib-resistant cell lines bearing L858R/C797S and exon19del/C797S EGFR resistance mutations. In vivo, 9 induced tumor regression in an intracranial patient-derived xenograft (PDX) murine model suggesting it as a potential lead for the treatment of localized and metastatic non-small-cell lung cancer (NSCLC) driven by activating mutant bearing EGFR. Overall, we demonstrate that an underrepresented functional group in medicinal chemistry, the trisubstituted hydroxylamine moiety, can be incorporated into a drug scaffold without the toxicity commonly surmised to accompany these units, all while maintaining potent biological activity and without the molecular weight creep common to drug optimization campaigns.
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Affiliation(s)
- Jarvis Hill
- Department
of Pharmaceutical and Biomedical Sciences, University of Georgia, 250 West Green Street, Athens, Georgia 30602, United States
- Department
of Chemistry, University of Georgia, 302 East Campus Road, Athens, Georgia 30602, United States
| | | | - David Crich
- Department
of Pharmaceutical and Biomedical Sciences, University of Georgia, 250 West Green Street, Athens, Georgia 30602, United States
- Department
of Chemistry, University of Georgia, 302 East Campus Road, Athens, Georgia 30602, United States
- Complex
Carbohydrate Research Center, University
of Georgia, 315 Riverbend
Road, Athens, Georgia 30602, United States
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7
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Rougée LRA, Bedwell DW, Hansen K, Abraham TL, Hall SD. Impact of Heterotropic Allosteric Modulation on the Time-Dependent Inhibition of Cytochrome P450 3A4. Drug Metab Dispos 2023; 51:1372-1380. [PMID: 37524542 DOI: 10.1124/dmd.123.001382] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Revised: 07/14/2023] [Accepted: 07/20/2023] [Indexed: 08/02/2023] Open
Abstract
The current study was designed to investigate the influence of allosteric effectors on the metabolism of the prototypical cytochrome P450 (CYP) 3A4 substrate midazolam (MDZ), and on the determination in vitro time-dependent inhibition (TDI) of CYP3A4 using human liver microsomes (HLM). As the concentration of midazolam increased to 250 µM in HLMs, homotropic cooperativity resulted in a decrease in the 1'-hydroxymidazolam to 4-hydroxymidazolam ratio to a maximum of 1.1. The presence of varying concentrations of testosterone, progesterone (PGS), or carbamazepine (CBZ) in HLMs with MDZ could recapitulate the effect of homotropic cooperativity such that the formation rates of the 1'hydroxymidazolam and 4-hydroxymidazolam were equal even at low concentrations of MDZ. The presence of PGS (10 or 100 µM) and CBZ (100 or 1000 µM) in in vitro TDI determination of four known CYP3A4 time-dependent inactivators (clarithromycin, troleandomycin, mibefradil, raloxifene) simultaneously decreased potency and inactivation rate constant, resulting in fold changes in inactivation efficiency on average of 1.6-fold and 13-fold for the low and high concentrations of allosteric modulator tested, respectively. The formation of a metabolic-intermediate complex (MIC) for clarithromycin and troleandomycin decreased in the presence of the allosteric modulators in a concentration-dependent manner, reaching a new steady state formation that could not be overcome with increased incubation time. Maximum reduction of the MIC formed by clarithromycin was up to ∼91%, while troleandomycin MIC decreased up to ∼31%. These findings suggest that the absence of endogenous allosteric modulators may contribute to the poor translation of HLM-based drug-drug interaction predictions. SIGNIFICANCE STATEMENT: The reported overprediction of in vitro human liver microsome time-dependent inhibition of CYP3A4 and observed drug interactions in vivo remains an issue in drug development. We provide characterization of allosteric modulators on the CYP3A4 metabolism of the prototypical substrate midazolam, demonstrating the ability of the modulators to recapitulate the homotropic cooperativity of midazolam. Furthermore, we demonstrate that allosteric heterotropic cooperativity of CYP3A4 can impact the time-dependent inhibition kinetics of known mechanisms-based inhibitors, providing a potential mechanism to explain the overprediction.
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Affiliation(s)
- Luc R A Rougée
- Lilly Research Laboratories; Eli Lilly and Company, Indianapolis, Indiana
| | - David W Bedwell
- Lilly Research Laboratories; Eli Lilly and Company, Indianapolis, Indiana
| | - Kasi Hansen
- Lilly Research Laboratories; Eli Lilly and Company, Indianapolis, Indiana
| | - Trent L Abraham
- Lilly Research Laboratories; Eli Lilly and Company, Indianapolis, Indiana
| | - Stephen D Hall
- Lilly Research Laboratories; Eli Lilly and Company, Indianapolis, Indiana
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8
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Yamamiya I, Hunt A, Takenaka T, Sonnichsen D, Mina M, He Y, Benhadji KA, Gao L. Evaluation of the Cytochrome P450 3A and P-glycoprotein Drug-Drug Interaction Potential of Futibatinib. Clin Pharmacol Drug Dev 2023; 12:966-978. [PMID: 37132707 DOI: 10.1002/cpdd.1259] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Accepted: 03/26/2023] [Indexed: 05/04/2023]
Abstract
Futibatinib, a selective, irreversible fibroblast growth factor receptor 1-4 inhibitor, is being investigated for tumors harboring FGFR aberrations and was recently approved for the treatment of FGFR2 fusion/rearrangement-positive intrahepatic cholangiocarcinoma. In vitro studies identified cytochrome P450 (CYP) 3A as the major CYP isoform in futibatinib metabolism and indicated that futibatinib is likely a P-glycoprotein (P-gp) substrate and inhibitor. Futibatinib also showed time-dependent inhibition of CYP3A in vitro. Phase I studies investigated the drug-drug interactions of futibatinib with itraconazole (a dual P-gp and strong CYP3A inhibitor), rifampin (a dual P-gp and strong CYP3A inducer), or midazolam (a sensitive CYP3A substrate) in healthy adult participants. Compared with futibatinib alone, coadministration of futibatinib with itraconazole increased futibatinib mean peak plasma concentration and area under the plasma concentration-time curve by 51% and 41%, respectively, and coadministration of futibatinib with rifampin lowered futibatinib mean peak plasma concentration and area under the plasma concentration-time curve by 53% and 64%, respectively. Coadministration of midazolam with futibatinib had no effect on midazolam pharmacokinetics compared with midazolam administered alone. These findings suggest that concomitant use of dual P-gp and strong CYP3A inhibitors/inducers with futibatinib should be avoided, but futibatinib can be concomitantly administered with other drugs metabolized by CYP3A. Drug-drug interaction studies with P-gp-specific substrates and inhibitors are planned.
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Affiliation(s)
| | | | - Toru Takenaka
- Taiho Pharmaceuticals Co., Ltd., Tsukuba, Ibaraki, Japan
| | - Daryl Sonnichsen
- Sonnichsen Pharmaceutical Associates, LLC, Collegeville, Pennsylvania, USA
| | - Mark Mina
- Taiho Oncology, Inc., Princeton, New Jersey, USA
| | - Yaohua He
- Taiho Oncology, Inc., Princeton, New Jersey, USA
| | | | - Ling Gao
- Taiho Oncology, Inc., Princeton, New Jersey, USA
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9
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Zhan Y, Wang A, Yu Y, Chen J, Xu X, Nie J, Lin J. Inhibitory mechanism of vortioxetine on CYP450 enzymes in human and rat liver microsomes. Front Pharmacol 2023; 14:1199548. [PMID: 37790811 PMCID: PMC10544575 DOI: 10.3389/fphar.2023.1199548] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Accepted: 08/16/2023] [Indexed: 10/05/2023] Open
Abstract
Vortioxetine is a novel anti-major depression disorder drug with a high safety profile compared with other similar drugs. However, little research has been done on drug-drug interactions (DDI) about vortioxetine. In this paper, the inhibitory effect of vortioxetine on cytochrome P450 (CYP450) and the type of inhibitory mechanism were investigated in human and rat liver microsomes. We set up an in vitro incubation system of 200 μL to measure the metabolism of probe substrates at the present of vortioxetine at 37°C. The concentrations of the metabolites of probe substrates were all measured by ultra-performance liquid chromatography tandem mass spectrometry (UPLC-MS/MS) method. It was found no time-dependent inhibition (TDI) of vortioxetine through determination of half-maximal inhibitory concentration (IC50) shift values. The enzymes and metabolites involved in this experiment in human and rats were as follows: CYP3A4/CYP3A (midazolam); CYP2B6/CYP2B (bupropion); CYP2D6/CYP2D (dextromethorphan); CYP2C8/CYP2C-1 (amodiaquine); CYP2C9/CYP2C-2 (losartan); and CYP2C19/CYP2C-3 (mephenytoin). We found that vortioxetine competitively inhibited CYP2C19 and CYP2D6 in human liver microsomes (HLMs) with inhibition constant (Ki) values of 2.17 μM and 9.37 μM, respectively. It was noncompetitive inhibition for CYP3A4 and CYP2C8, and its Ki values were 7.26 μM and 6.96 μM, respectively. For CYP2B6 and CYP2C9, vortioxetine exhibited the mixed inhibition with Ki values were 8.55 μM and 4.17 μM, respectively. In RLMs, the type of vortioxetine inhibition was uncompetitive for CYP3A and CYP2D (Ki = 4.41 and 100.9 μM). The inhibition type was competitive inhibition, including CYP2B and CYP2C-2 (Ki = 2.87 and 0.12 μM). The inhibition types of CYP2C-1 and CYP2C-3 (Ki = 39.91 and 4.23 μM) were mixed inhibition and noncompetitive inhibition, respectively. The study of the above mechanism will provide guidance for the safe clinical use of vortioxetine so that the occurrence of DDI can be avoided.
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Affiliation(s)
- Yunyun Zhan
- Department of Pharmacy, The Affiliated Lihuili Hospital, Ningbo University, Ningbo, Zhejiang, China
| | - Anzhou Wang
- Department of Pharmacy, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
- Department of Pharmacy, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Yige Yu
- Department of Pharmacy, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Jie Chen
- Department of Pharmacy, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Xinhao Xu
- Department of Pharmacy, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Jingjing Nie
- Department of Pharmacy, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Jingjing Lin
- Department of Pharmacy, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
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10
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Russell DA, Cerny MA. High-throughput cytochrome P450 loss and metabolic intermediate complex assays to aid in designing out of CYP3A inactivation. Methods Enzymol 2023; 690:341-368. [PMID: 37858534 DOI: 10.1016/bs.mie.2023.08.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2023]
Abstract
Time-dependent inactivation (TDI) of cytochrome P450 (CYP) enzymes may result in clinical drug-drug interactions (DDIs). Therefore, designing out of CYP TDI prior to advancing a compound to clinical development is highly desirable. As TDI of CYP3A is a common occurrence in small molecule drug discovery, high-throughput methods are sought to help identify the mechanism of inactivation and enable design strategies to mitigate CYP3A TDI. CYP inactivation via modification or destruction of the prosthetic heme group results in loss of the ability of the enzyme to bind carbon monoxide. Additionally, formation of a tight binding complex with the heme iron, referred to as a metabolic intermediate (MI) complex, also results in enzyme inactivation. The methods described herein provide a high-throughput means of identifying and comparing compounds for their ability to inactivate via destruction/modification of the heme via loss of the ability to bind carbon monooxide, as well as via formation of an MI complex.
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Affiliation(s)
- Drake A Russell
- Department of Medicinal Chemistry, University of Washington, Seattle, WA, United States
| | - Matthew A Cerny
- Pharmacokinetics, Dynamics and Metabolism, Pfizer, Inc., Groton, CT, United States.
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11
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Kaneda M, Oyama M, Yoshimi T, Michihara S, Han LK, Fujita N, Takahashi R. Effects of Ninjin'yoeito on Human CYP3A and Mouse CYP3A Activity. EVIDENCE-BASED COMPLEMENTARY AND ALTERNATIVE MEDICINE : ECAM 2023; 2023:8657478. [PMID: 37565226 PMCID: PMC10412298 DOI: 10.1155/2023/8657478] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Revised: 06/05/2023] [Accepted: 07/03/2023] [Indexed: 08/12/2023]
Abstract
Ninjin'yoeito (NYT) is widely used clinically for the management of patients with frailty and other multiple symptoms. NYT is often administered with other drugs; however, little information is available on its drug interactions. Previous studies using human liver microsomes have reported that constituents of NYT either inhibit (schisandra fruit, cinnamon bark, glycyrrhiza, and poria sclerotium) or induce (schisandra fruit and glycyrrhiza) CYP3A4 expression. Herein, we conducted in vitro and in vivo studies targeting human CYP3A and mouse CYP3A to elucidate the effects of NYT coadministration with other drugs on hepatic drug metabolism. In an inhibition study using human liver microsomes, NYT showed concentration-dependent reversible inhibition and time-dependent inhibition. Furthermore, in an induction study using frozen human hepatocytes, the addition of 0.01-0.1 mg/mL NYT resulted in a concentration-dependent increase in CYP3A gene expression. Contrarily, no significant changes in CYP3A substrate blood concentrations were observed between untreated mice and mice that received either a single dose of NYT or repeated doses for 15 days. These results demonstrate that NYT has inhibitory and inductive effects on hepatic CYP3A in vitro, but orally administered NYT does not affect drug metabolism mediated by hepatic CYP3A in vivo in the mouse model. Although there is a little information about drug interactions of NYT, this study provides new evidence for that.
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Affiliation(s)
- Marisa Kaneda
- Kampo Research Laboratories, Kracie Pharma, Ltd., 3-1 Kanebo-machi, Takaoka-shi, Toyama 933-0856, Japan
| | - Manami Oyama
- Kampo Research Laboratories, Kracie Pharma, Ltd., 3-1 Kanebo-machi, Takaoka-shi, Toyama 933-0856, Japan
| | - Takashi Yoshimi
- Kampo Research Laboratories, Kracie Pharma, Ltd., 3-1 Kanebo-machi, Takaoka-shi, Toyama 933-0856, Japan
| | - Seiwa Michihara
- Kampo Research Laboratories, Kracie Pharma, Ltd., 3-1 Kanebo-machi, Takaoka-shi, Toyama 933-0856, Japan
| | - Li-Kun Han
- Kampo Research Laboratories, Kracie Pharma, Ltd., 3-1 Kanebo-machi, Takaoka-shi, Toyama 933-0856, Japan
| | - Nina Fujita
- Kampo Research Laboratories, Kracie Pharma, Ltd., 3-1 Kanebo-machi, Takaoka-shi, Toyama 933-0856, Japan
| | - Ryuji Takahashi
- Kampo Research Laboratories, Kracie Pharma, Ltd., 3-1 Kanebo-machi, Takaoka-shi, Toyama 933-0856, Japan
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12
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He C, Mao Y, Wan H. Preclinical evaluation of chemically reactive metabolites and mitigation of bioactivation in drug discovery. Drug Discov Today 2023; 28:103621. [PMID: 37201781 DOI: 10.1016/j.drudis.2023.103621] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Revised: 04/25/2023] [Accepted: 05/11/2023] [Indexed: 05/20/2023]
Abstract
The formation of reactive metabolites (RMs) is thought to be one of the pathogeneses for some idiosyncratic adverse drug reactions (IADRs) which are considered one of the leading causes of some drug attritions and/or recalls. Minimizing or eliminating the formation of RMs via chemical modification is a useful tactic to reduce the risk of IADRs and time-dependent inhibition (TDI) of cytochrome P450 enzymes (CYPs). The RMs should be carefully handled before making a go-no-go decision. Herein, we highlight the role of RMs in the occurrence of IADRs and CYP TDI, the risk of structural alerts, the approaches of RM assessment at the discovery stage and strategies to minimize or eliminate RM liability. Finally, some considerations for developing a RM-positive drug candidate are suggested.
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Affiliation(s)
- Chunyong He
- Department of DMPK/Tox, Shanghai Hengrui Pharmaceutical, No. 279 Wenjing Road, Shanghai 200245, China.
| | - Yuchang Mao
- Department of DMPK/Tox, Shanghai Hengrui Pharmaceutical, No. 279 Wenjing Road, Shanghai 200245, China
| | - Hong Wan
- Department of DMPK/Bioanalysis, Shanghai Medicilon, No. 585 Chuanda Road, Shanghai 201299, China.
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13
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Zhao J, He J, Xu J. Mechanism-Based Inactivation of Cytochrome P450 3A by Evodol. Xenobiotica 2023:1-11. [PMID: 37092795 DOI: 10.1080/00498254.2023.2207200] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/25/2023]
Abstract
1. Evodol is one of the furanoids isolated from the fruits of Evodia rutaecarpa that has been widely prescribed for the treatment of gastrointestinal diseases in China. The aim of this study was to investigate the inhibitory effect of evodol on CYP3A.2. A 30-min preincubation of evodol with human liver microsomes raised an obvious left IC50 shift, 3.9-fold for midazolam 1'-hydroxylation and 3.2-fold for testosterone 6β-hydroxylation. Evodol inactivated CYP3A in a time-, concentration- and NADPH-dependent manner, with KI and kinact of 5.1 μM and 0.028 min-1 for midazolam 1'-hydroxylation and 3.0 μM and 0.022 min-1 for testosterone 6β-hydroxylation.3. Co-incubation of ketoconazole attenuated the inactivation while inclusion of glutathione (GSH) and catalase/superoxide dismutase displayed no such protection.4. cis-Butene-1, 4-dial (BDA) intermediate derived from evodol were trapped by glutathione and N-acetyl-lysine in microsomes and characterized by HR-MS spectra. The BDA intermediate was believed to play a key role in CYP3A inactivation. CYP3A4 and 2C9 were the primary enzymes contributing to the bioactivation of evodol.5. To sum up, for the first time evodol was characterized as a mechanism-based inactivator of CYP3A.
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Affiliation(s)
- Jie Zhao
- Pharmaceutical Animal Experimental Center, China Pharmaceutical University, Nanjing 210009, China
| | - Jingyu He
- R&D Institute, Chia Tai Tianqing Pharmaceutical Group Co., LTD, Nanjing 211122, China
| | - Jie Xu
- Department of Phase I Clinical Trial Research, Nanjing Gaoxin Hospital, Nanjing 210031, China
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14
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Varvel NH, Amaradhi R, Espinosa-Garcia C, Duddy S, Franklin R, Banik A, Alemán-Ruiz C, Blackmer-Raynolds L, Wang W, Honore T, Ganesh T, Dingledine R. Preclinical development of an EP2 antagonist for post-seizure cognitive deficits. Neuropharmacology 2023; 224:109356. [PMID: 36460083 PMCID: PMC9894535 DOI: 10.1016/j.neuropharm.2022.109356] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Revised: 11/08/2022] [Accepted: 11/24/2022] [Indexed: 12/05/2022]
Abstract
Cognitive comorbidities can substantially reduce quality of life in people with epilepsy. Inflammation is a component of all chronic diseases including epilepsy, as well as acute events like status epilepticus (SE). Neuroinflammation is the consequence of several broad signaling cascades including cyclooxygenase-2 (COX-2)-associated pathways. Activation of the EP2 receptor for prostaglandin E2 appears responsible for blood-brain barrier leakage and much of the inflammatory reaction, neuronal injury and cognitive deficit that follows seizure-provoked COX-2 induction in brain. Here we show that brief exposure of mice to TG11-77, a potent, selective, orally available and brain permeant EP2 antagonist, eliminates the profound cognitive deficit in Y-maze performance after SE and reduces delayed mortality and microgliosis, with a minimum effective i.p. dose (as free base) of 8.8 mg/kg. All in vitro studies required to submit an investigational new drug (IND) application for TG11-77 have been completed, and non-GLP dose range-finding toxicology in the rat identified no overt, organ or histopathology signs of toxicity after 7 days of oral administration at 1000 mg/kg/day. Plasma exposure in the rat was dose-linear between 15 and 1000 mg/kg dosing. TG11-77 thus appears poised to continue development towards the initial clinical test of the hypothesis that EP2 receptor modulation after SE can provide the first preventive treatment for one of the chief comorbidities of epilepsy.
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Affiliation(s)
- Nicholas H Varvel
- Department of Pharmacology and Chemical Biology, Emory University School of Medicine, Atlanta, GA, 30322, Georgia
| | - Radhika Amaradhi
- Department of Pharmacology and Chemical Biology, Emory University School of Medicine, Atlanta, GA, 30322, Georgia
| | - Claudia Espinosa-Garcia
- Department of Pharmacology and Chemical Biology, Emory University School of Medicine, Atlanta, GA, 30322, Georgia
| | - Steven Duddy
- Department of Pharmacology and Chemical Biology, Emory University School of Medicine, Atlanta, GA, 30322, Georgia
| | - Ronald Franklin
- Department of Pharmacology and Chemical Biology, Emory University School of Medicine, Atlanta, GA, 30322, Georgia
| | - Avijit Banik
- Department of Pharmacology and Chemical Biology, Emory University School of Medicine, Atlanta, GA, 30322, Georgia
| | - Carlos Alemán-Ruiz
- Department of Pharmacology and Chemical Biology, Emory University School of Medicine, Atlanta, GA, 30322, Georgia
| | - Lisa Blackmer-Raynolds
- Department of Pharmacology and Chemical Biology, Emory University School of Medicine, Atlanta, GA, 30322, Georgia
| | - Wenyi Wang
- Department of Pharmacology and Chemical Biology, Emory University School of Medicine, Atlanta, GA, 30322, Georgia
| | - Tage Honore
- Department of Pharmacology and Chemical Biology, Emory University School of Medicine, Atlanta, GA, 30322, Georgia
| | - Thota Ganesh
- Department of Pharmacology and Chemical Biology, Emory University School of Medicine, Atlanta, GA, 30322, Georgia.
| | - Raymond Dingledine
- Department of Pharmacology and Chemical Biology, Emory University School of Medicine, Atlanta, GA, 30322, Georgia.
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15
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Alehaideb Z. Prediction of herb-drug interactions involving consumption of furanocoumarin-mixtures and cytochrome P450 1A2-mediated caffeine metabolism inhibition in humans. Saudi Pharm J 2023; 31:444-452. [PMID: 37026048 PMCID: PMC10071362 DOI: 10.1016/j.jsps.2023.01.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2022] [Accepted: 01/27/2023] [Indexed: 02/04/2023] Open
Abstract
Herb-drug interactions (HDI) has become important due to the increasing popularity of natural health product consumption worldwide. HDI is difficult to predict as botanical drugs usually contain complex phytochemical-mixtures, which interact with drug metabolism. Currently, there is no specific pharmacological tool to predict HDI since almost all in vitro-in vivo-extrapolation (IVIVE) Drug-Drug Interaction (DDI) models deal with one inhibitor-drug and one victim-drug. The objectives were to modify-two IVIVE models for the prediction of in vivo interaction between caffeine and furanocoumarin-containing herbs, and to confirm model predictions by comparing the DDI predictive results with actual human data. The models were modified to predict in vivo herb-caffeine interaction using the same set of inhibition constants but different integrated dose/concentration of furanocoumarin mixtures in the liver. Different hepatic inlet inhibitor concentration ([I]H) surrogates were used for each furanocoumarin. In the first (hybrid) model, the [I]H was predicted using the concentration-addition model for chemical-mixtures. In the second model, the [I]H was calculated by adding individual furanocoumarins together. Once [I]H values were determined, the models predicted an area-under-curve-ratio (AUCR) value of each interaction. The results indicate that both models were able to predict the experimental AUCR of herbal products reasonably well. The DDI model approaches described in this study may be applicable to health supplements and functional foods also.
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Affiliation(s)
- Zeyad Alehaideb
- King Abdullah International Medical Research Center, Riyadh city, Saudi Arabia
- King Saud Bin Abdulaziz University for Health Sciences, Riyadh city, Saudi Arabia
- Ministry of National Guard Health Affairs, Riyadh, Saudi Arabia
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16
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Vu NAT, Song YM, Tran QT, Yun HY, Kim SK, Chae JW, Kim JK. Beyond the Michaelis-Menten: Accurate Prediction of Drug Interactions through Cytochrome P450 3A4 Induction. Clin Pharmacol Ther 2022; 113:1048-1057. [PMID: 36519932 DOI: 10.1002/cpt.2824] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Accepted: 12/09/2022] [Indexed: 12/23/2022]
Abstract
The US Food and Drug Administration (FDA) guidance has recommended several model-based predictions to determine potential drug-drug interactions (DDIs) mediated by cytochrome P450 (CYP) induction. In particular, the ratio of substrate area under the plasma concentration-time curve (AUCR) under and not under the effect of inducers is predicted by the Michaelis-Menten (MM) model, where the MM constant ( K m $$ {K}_{\mathrm{m}} $$ ) of a drug is implicitly assumed to be sufficiently higher than the concentration of CYP enzymes that metabolize the drug ( E T $$ {E}_{\mathrm{T}} $$ ) in both the liver and small intestine. Furthermore, the fraction absorbed from gut lumen ( F a $$ {F}_{\mathrm{a}} $$ ) is also assumed to be one because F a $$ {F}_{\mathrm{a}} $$ is usually unknown. Here, we found that such assumptions lead to serious errors in predictions of AUCR. To resolve this, we propose a new framework to predict AUCR. Specifically, F a $$ {F}_{\mathrm{a}} $$ was re-estimated from experimental permeability values rather than assuming it to be one. Importantly, we used the total quasi-steady-state approximation to derive a new equation, which is valid regardless of the relationship between K m $$ {K}_{\mathrm{m}} $$ and E T $$ {E}_{\mathrm{T}} $$ , unlike the MM model. Thus, our framework becomes much more accurate than the original FDA equation, especially for drugs with high affinities, such as midazolam or strong inducers, such as rifampicin, so that the ratio between K m $$ {K}_{\mathrm{m}} $$ and E T $$ {E}_{\mathrm{T}} $$ becomes low (i.e., the MM model is invalid). Our work greatly improves the prediction of clinical DDIs, which is critical to preventing drug toxicity and failure.
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Affiliation(s)
- Ngoc-Anh Thi Vu
- College of Pharmacy, Chungnam National University, Daejeon, Korea
| | - Yun Min Song
- Department of Mathematical Sciences, KAIST, Daejeon, Korea.,Biomedical Mathematics Group, Institute for Basic Science, Daejeon, Korea
| | - Quyen Thi Tran
- College of Pharmacy, Chungnam National University, Daejeon, Korea
| | - Hwi-Yeol Yun
- College of Pharmacy, Chungnam National University, Daejeon, Korea.,Department of Bio-AI convergence, Chungnam National University, Daejeon, Korea
| | - Sang Kyum Kim
- College of Pharmacy, Chungnam National University, Daejeon, Korea
| | - Jung-Woo Chae
- College of Pharmacy, Chungnam National University, Daejeon, Korea.,Department of Bio-AI convergence, Chungnam National University, Daejeon, Korea
| | - Jae Kyoung Kim
- Department of Mathematical Sciences, KAIST, Daejeon, Korea.,Biomedical Mathematics Group, Institute for Basic Science, Daejeon, Korea
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17
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Latham BD, Oskin DS, Crouch RD, Vergne MJ, Jackson KD. Cytochromes P450 2C8 and 3A Catalyze the Metabolic Activation of the Tyrosine Kinase Inhibitor Masitinib. Chem Res Toxicol 2022; 35:1467-1481. [PMID: 36048877 DOI: 10.1021/acs.chemrestox.2c00057] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Masitinib is a small molecule tyrosine kinase inhibitor under investigation for the treatment of amyotrophic lateral sclerosis, mastocytosis, and COVID-19. Hepatotoxicity has been reported in some patients while taking masitinib. The liver injury is thought to involve hepatic metabolism of masitinib by cytochrome P450 (P450) enzymes to form chemically reactive, potentially toxic metabolites. The goal of the current investigation was to determine the P450 enzymes involved in the metabolic activation of masitinib in vitro. In initial studies, masitinib (30 μM) was incubated with pooled human liver microsomes in the presence of NADPH and potassium cyanide to trap reactive iminium ion metabolites as cyano adducts. Masitinib metabolites and cyano adducts were analyzed using reversed-phase liquid chromatography-tandem mass spectrometry. The primary active metabolite, N-desmethyl masitinib (M485), and several oxygenated metabolites were detected along with four reactive metabolite cyano adducts (MCN510, MCN524, MCN526, and MCN538). To determine which P450 enzymes were involved in metabolite formation, reaction phenotyping experiments were conducted by incubation of masitinib (2 μM) with a panel of recombinant human P450 enzymes and by incubation of masitinib with human liver microsomes in the presence of P450-selective chemical inhibitors. In addition, enzyme kinetic assays were conducted to determine the relative kinetic parameters (apparent Km and Vmax) of masitinib metabolism and cyano adduct formation. Integrated analysis of the results from these experiments indicates that masitinib metabolic activation is catalyzed primarily by P450 3A4 and 2C8, with minor contributions from P450 3A5 and 2D6. These findings provide further insight into the pathways involved in the generation of reactive, potentially toxic metabolites of masitinib. Future studies are needed to evaluate the impact of masitinib metabolism on the toxicity of the drug in vivo.
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Affiliation(s)
- Bethany D Latham
- Division of Pharmacotherapy and Experimental Therapeutics, University of North Carolina at Chapel Hill Eshelman School of Pharmacy, Chapel Hill, North Carolina 27599, United States
| | - D Spencer Oskin
- Department of Pharmaceutical Sciences, Lipscomb University College of Pharmacy and Health Sciences, Nashville, Tennessee 37204, United States
| | - Rachel D Crouch
- Department of Pharmaceutical Sciences, Lipscomb University College of Pharmacy and Health Sciences, Nashville, Tennessee 37204, United States
| | - Matthew J Vergne
- Department of Pharmaceutical Sciences, Lipscomb University College of Pharmacy and Health Sciences, Nashville, Tennessee 37204, United States
| | - Klarissa D Jackson
- Division of Pharmacotherapy and Experimental Therapeutics, University of North Carolina at Chapel Hill Eshelman School of Pharmacy, Chapel Hill, North Carolina 27599, United States
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18
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Khojasteh SC, Argikar UA, Cho S, Crouch R, Heck CJS, Johnson KM, Kalgutkar AS, King L, Maw HH, Seneviratne HK, Wang S, Wei C, Zhang D, Jackson KD. Biotransformation Novel Advances - 2021 year in review. Drug Metab Rev 2022; 54:207-245. [PMID: 35815654 DOI: 10.1080/03602532.2022.2097253] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
Biotransformation field is constantly evolving with new molecular structures and discoveries of metabolic pathways that impact efficacy and safety. Recent review by Kramlinger et al (2022) nicely captures the future (and the past) of highly impactful science of biotransformation (see the first article). Based on the selected articles, this review was categorized into three sections: (1) new modalities biotransformation, (2) drug discovery biotransformation, and (3) drug development biotransformation (Table 1).
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Affiliation(s)
- S Cyrus Khojasteh
- Department of Drug Metabolism and Pharmacokinetics, Genentech, Inc., 1 DNA Way, MS412a, South San Francisco, CA, 94080, USA
| | - Upendra A Argikar
- Non-clinical Development, Bill & Melinda Gates Medical Research Institute, Cambridge, MA 02139, USA
| | - Sungjoon Cho
- Department of Drug Metabolism and Pharmacokinetics, Genentech, Inc., 1 DNA Way, MS412a, South San Francisco, CA, 94080, USA
| | - Rachel Crouch
- Department of Pharmaceutical Sciences, Lipscomb University College of Pharmacy and Health Sciences, Nashville, TN, 37203, USA
| | - Carley J S Heck
- Medicine Design, Pfizer Worldwide Research, Development and Medical, Eastern Point Road, Groton, Connecticut, USA
| | - Kevin M Johnson
- Department of Drug Metabolism and Pharmacokinetics, Genentech, Inc., 1 DNA Way, MS412a, South San Francisco, CA, 94080, USA
| | - Amit S Kalgutkar
- Medicine Design, Pfizer Worldwide Research, Development and Medical, Cambridge, MA 02139, USA
| | - Lloyd King
- Quantitative Drug Discovery, UCB Biopharma UK, 216 Bath Road, Slough, SL1 3WE, UK
| | - Hlaing Holly Maw
- Drug Metabolism and Pharmacokinetics, Boehringer Ingelheim Pharmaceuticals, Inc., Ridgefield, CT, 06877, USA
| | - Herana Kamal Seneviratne
- Department of Pharmacology and Molecular Sciences, The Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA
| | - Shuai Wang
- Department of Drug Metabolism and Pharmacokinetics, Genentech, Inc., 1 DNA Way, MS412a, South San Francisco, CA, 94080, USA
| | - Cong Wei
- Drug Metabolism & Pharmacokinetics, Biogen Inc., Cambridge, MA, 02142, USA
| | - Donglu Zhang
- Department of Drug Metabolism and Pharmacokinetics, Genentech, Inc., 1 DNA Way, MS412a, South San Francisco, CA, 94080, USA
| | - Klarissa D Jackson
- Division of Pharmacotherapy and Experimental Therapeutics, UNC Eshelman School of Pharmacy, Chapel Hill, NC 27599, USA
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19
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Zoh MG, Tutagata J, Fodjo BK, Mouhamadou CS, Sadia CG, McBeath J, Schmitt F, Horstmann S, David JP, Reynaud S. Exposure of Anopheles gambiae larvae to a sub-lethal dose of an agrochemical mixture induces tolerance to adulticides used in vector control management. AQUATIC TOXICOLOGY (AMSTERDAM, NETHERLANDS) 2022; 248:106181. [PMID: 35504174 DOI: 10.1016/j.aquatox.2022.106181] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/03/2021] [Revised: 04/19/2022] [Accepted: 04/24/2022] [Indexed: 06/14/2023]
Abstract
The heavy use of pesticides in agricultural areas often leads to the contamination of nearby mosquito larvae breeding sites. Exposure to complex mixtures of agrochemicals can affect the insecticide sensitivity of mosquito larvae. Our study objective was to determine whether agrochemical residues in Anopheline larval breeding sites can affect the tolerance of adults to commonly used adulticides. We focussed on Fludora® Fusion, a vector control insecticide formulation combining two insecticides (deltamethrin and clothianidin) with different modes of action. An. gambiae larvae were exposed to a sub-lethal dose of a mixture of agrochemical pesticides used in a highly active agricultural area on the Ivory Coast. Comparative bioassays with Fludora Fusion mixture and its two insecticide components (deltamethrin and clothianidin) were carried out between adult mosquitoes exposed or not to the agrochemicals at the larval stage. A transcriptomic analysis using RNA sequencing was then performed on larvae and adults to study the molecular mechanisms underlying the phenotypic changes observed. Bioassays revealed a significantly increased tolerance of adult females to clothianidin (2.5-fold) and Fludora Fusion mixture (2.2-fold) following larval exposure to agrochemicals. Significantly increased tolerance to deltamethrin was not observed suggesting that insecticide exposure affects the adult efficacy of the Fludora Fusion mixture mainly through mechanisms acting on clothianidin. Transcriptomic analysis revealed the potential of agrochemicals to induce various resistance mechanisms including cuticle proteins, detoxification action and altered insecticide sequestration. These results suggest that although the Fludora Fusion mixture is effective for adult vector control, its efficacy may be locally affected by the ecological context. The present study also suggests that, although the complex interactions between the use of agrochemicals and vector control insecticides are difficult to decipher in the field, they still must be considered in the context of insecticide resistance management programmes.
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Affiliation(s)
- Marius Gonse Zoh
- Univ. Grenoble-Alpes, Univ. Savoie Mont Blanc, CNRS, LECA, 38000 Grenoble, France.
| | - Jordan Tutagata
- Univ. Grenoble-Alpes, Univ. Savoie Mont Blanc, CNRS, LECA, 38000 Grenoble, France.
| | - Behi K Fodjo
- Centre Suisse de la Recherche Scientifique en Côte d'Ivoire, Côte d'Ivoire
| | | | | | | | | | | | - Jean-Philippe David
- Univ. Grenoble-Alpes, Univ. Savoie Mont Blanc, CNRS, LECA, 38000 Grenoble, France.
| | - Stéphane Reynaud
- Univ. Grenoble-Alpes, Univ. Savoie Mont Blanc, CNRS, LECA, 38000 Grenoble, France.
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20
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Qian Y, Markowitz JS. Prediction of Carboxylesterase 1-mediated In Vivo Drug Interaction between Methylphenidate and Cannabinoids using Static and Physiologically Based Pharmacokinetic Models. Drug Metab Dispos 2022; 50:968-979. [PMID: 35512806 PMCID: PMC11022897 DOI: 10.1124/dmd.121.000823] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Accepted: 04/12/2022] [Indexed: 11/22/2022] Open
Abstract
The use of cannabis products has increased substantially. Cannabis products have been perceived and investigated as potential treatments for attention-deficit/hyperactivity disorder (ADHD). Accordingly, co-administration of cannabis products and methylphenidate (MPH), a first-line medication for ADHD, is possible. Oral MPH undergoes extensive presystemic metabolism by carboxylesterase 1 (CES1), a hepatic enzyme which can be inhibited by two prominent cannabinoids, Δ9-tetrahydrocannabinol (THC) and cannabidiol (CBD). This prompts further investigation into the likelihood of clinical interactions between MPH and these two cannabinoids through CES1 inhibition. In the present study, inhibition parameters were obtained from a human liver S9 system and then incorporated into static and physiologically-based pharmacokinetic (PBPK) models for prediction of potential clinical significance. The inhibition of MPH hydrolysis by THC and CBD was reversible, with estimated unbound inhibition constants (Ki,u) of 0.031 and 0.091 µM, respectively. The static model predicted a mild increase in MPH exposure by concurrent THC (34%) and CBD (94%) from smoking a cannabis cigarette and ingestion of prescriptive CBD, respectively. PBPK models suggested no significant interactions between single doses of MPH and CBD (2.5 - 10 mg/kg) when administered simultaneously, while a mild interaction (area under drug concentration-time curve increased by up to 55% and maximum concentration by up to 45%) is likely if multiple doses of CBD (10 mg/kg twice daily) are administered. In conclusion, the pharmacokinetic disposition of MPH can be potentially influenced by THC and CBD under certain clinical scenarios. Whether the magnitude of predicted interactions translates into clinically relevant outcomes requires verification in an appropriately designed clinical study. SIGNIFICANCE STATEMENT: This work demonstrated a potential mechanism of drug-drug interactions between methylphenidate (MPH) and two major cannabinoids (Δ9-tetrahydrocannabinol [THC] and cannabidiol [CBD]) not previously reported. We predicted a mild interaction between MPH and THC when the cannabinoid exposure occurred via cannabis smoking. Mild interactions between MPH and CBD were predicted with multiple oral administrations of CBD.
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Affiliation(s)
- Yuli Qian
- Department of Pharmacotherapy and Translational Research, College of Pharmacy, University of Florida, Gainesville, Florida
| | - John S Markowitz
- Department of Pharmacotherapy and Translational Research, College of Pharmacy, University of Florida, Gainesville, Florida
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21
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Pihlaja TLM, Niemissalo SM, Sikanen TM. Cytochrome P450 Inhibition by Antimicrobials and Their Mixtures in Rainbow Trout Liver Microsomes In Vitro. ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY 2022; 41:663-676. [PMID: 34255900 DOI: 10.1002/etc.5160] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/15/2020] [Revised: 01/29/2021] [Accepted: 07/08/2021] [Indexed: 06/13/2023]
Abstract
Antimicrobials are ubiquitous in the environment and can bioaccumulate in fish. In the present study, we determined the half-maximal inhibitory concentrations (IC50) of 7 environmentally abundant antimicrobials (ciprofloxacin, clarithromycin, clotrimazole, erythromycin, ketoconazole, miconazole, and sulfamethoxazole) on the cytochrome P450 (CYP) system in rainbow trout (Oncorhynchus mykiss) liver microsomes, using 7-ethoxyresorufin O-deethylation (EROD, CYP1A) and 7-benzyloxy-4-trifluoromethylcoumarin O-debenzylation (BFCOD, CYP3A) as model reactions. Apart from ciprofloxacin and sulfamethoxazole, all antimicrobials inhibited either EROD or BFCOD activities or both at concentrations <500 µM. Erythromycin was the only selective and time-dependent inhibitor of BFCOD. Compared with environmental concentrations, the IC50s of individual compounds were generally high (greater than milligrams per liter); but as mixtures, the antimicrobials resulted in strong, indicatively synergistic inhibitions of both EROD and BFCOD at submicromolar (~micrograms per liter) mixture concentrations. The cumulative inhibition of the BFCOD activity was detectable even at picomolar (~nanograms per liter) mixture concentrations and potentiated over time, likely because of the strong inhibition of CYP3A by ketoconazole (IC50 = 1.7 ± 0.3 µM) and clotrimazole (IC50 = 1.2 ± 0.2 µM). The results suggest that if taken up by fish, the mixtures of these antimicrobials may result in broad CYP inactivation and increase the bioaccumulation risk of any other xenobiotic normally cleared by the hepatic CYPs even at biologically relevant concentrations. Environ Toxicol Chem 2022;41:663-676. © 2021 The Authors. Environmental Toxicology and Chemistry published by Wiley Periodicals LLC on behalf of SETAC.
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Affiliation(s)
- Tea L M Pihlaja
- Faculty of Pharmacy, Drug Research Program, University of Helsinki, Helsinki, Finland
| | - Sanna M Niemissalo
- Faculty of Pharmacy, Drug Research Program, University of Helsinki, Helsinki, Finland
| | - Tiina M Sikanen
- Faculty of Pharmacy, Drug Research Program, University of Helsinki, Helsinki, Finland
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22
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Fu S, Yu F, Hu Z, Sun T. Metabolism-Mediated Drug-Drug Interactions – Study Design, Data Analysis, and Implications for In Vitro Evaluations. MEDICINE IN DRUG DISCOVERY 2022. [DOI: 10.1016/j.medidd.2022.100121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
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Surana AR, Agrawal SP, Kumbhare MR, Gaikwad SB. Current perspectives in herbal and conventional drug interactions based on clinical manifestations. FUTURE JOURNAL OF PHARMACEUTICAL SCIENCES 2021. [DOI: 10.1186/s43094-021-00256-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
Abstract
Abstract
Background
Herbs are an important source of pharmaceuticals. Herbs are traditionally used by millions of peoples for medicine, food and drink in developed and developing nations considering that they are safe. But, interaction of herbs with other medicines may cause serious adverse effects or reduces their efficacy. The demand for “alternative” medicines has been increased significantly, which include medicine derived from plant or herbal origin. The objective of this review article mainly focuses on drug interactions of commonly used herbs along with possible mechanisms. The method adopted for this review is searching of herb-drug interactions in online database.
Main text
Herb-drug interaction leads to pharmacological modification. The drug use along with herbs may show pharmacodynamic and pharmacokinetic interactions. Pharmacokinetic interaction causes alteration in absorption, distribution, metabolism and elimination. Similarly, pharmacodynamic interaction causes additive or synergistic or antagonist effect on the drugs or vice versa. Researchers had demonstrated that herbs show the toxicities and drug interactions like other pharmacologically active compounds. There is lack of knowledge amongst physician, pharmacist and consumers related to pharmacological action and mechanism of herb-drug interaction. This review article focuses on the herb-drug interaction of danshen (Salvia miltiorrhiza), Echinacea (Echinacea purpurea), garlic (Allium sativum), ginkgo (Ginkgo biloba), goldenseal (Hydrastis canadensis), green tea (Camellia sinensis), kava (Piper methysticum), liquorice (Glycyrrhiza glabra), milk thistle (Silybum marianum) and St. John’s wort (Hypericum perforatum) along with probable mechanisms and clinical manifestation based on case studies reported in literature.
Conclusion
Herb-drug interactions may lead to serious side effects. Physician, pharmacist and patients must be more cautious while prescribing and or consuming these herbs.
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Ramsden D, Perloff ES, Whitcher-Johnstone A, Ho T, Patel R, Kozminski KD, Fullenwider CL, Zhang JG. Predictive In Vitro-In Vivo Extrapolation for Time Dependent Inhibition of CYP1A2, CYP2C8, CYP2C9, CYP2C19 and CYP2D6 Using Pooled Human Hepatocytes, Human Liver Microsomes, and a Simple Mechanistic Static Model. Drug Metab Dispos 2021; 50:114-127. [PMID: 34789487 DOI: 10.1124/dmd.121.000718] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2021] [Accepted: 11/12/2021] [Indexed: 11/22/2022] Open
Abstract
Inactivation of Cytochrome P450 (CYP450) enzymes can lead to significant increases in exposure of co-medicants. The majority of reported in vitro to in vivo extrapolation (IVIVE) data have historically focused on CYP3A4 leaving the assessment of other CYP isoforms insubstantial. To this end, the utility of human hepatocytes (HHEP) and microsome (HLM) to predict clinically relevant DDIs was investigated with a focus on CYP1A2, CYP2C8, CYP2C9, CYP2C19 and CYP2D6. Evaluation of IVIVE for CYP2B6 was limited to only weak inhibition. A search of the University of Washington Drug-Drug Interaction Database was conducted to identify a clinically relevant weak, moderate and strong inhibitor for selective substrates of CYP1A2, CYP2C8, CYP2C9, CYP2C19 and CYP2D6, resulting in 18 inhibitors for in vitro characterization against 119 clinical interaction studies. Pooled human hepatocytes and HLM were pre-incubated with increasing concentrations of inhibitors for designated timepoints. Time dependent inhibition (TDI) was detected in HLM for four moderate/strong inhibitors suggesting that some optimization of incubation conditions (i.e. lower protein concentrations) is needed to capture weak inhibition. Clinical risk assessment was conducted by incorporating the in vitro derived kinetic parameters kinact and KI into static equations recommended by regulatory authorities. Significant overprediction was observed when applying the basic models recommended by regulatory agencies. Mechanistic static models (MSM), which consider the fraction of metabolism through the impacted enzyme, using the unbound hepatic inlet concentration lead to the best overall prediction accuracy with 92% and 85% of data from HHEPs and HLM, respectively, within 2-fold of the observed value. Significance Statement Collectively, the data demonstrate that coupling time-dependent inactivation parameters derived from pooled human hepatocytes and HLM with a mechanistic static model provides an easy and quantitatively accurate means to determine clinical DDI risk from in vitro data. Weak and moderate inhibitors did not show TDI under standard incubation conditions using HLM and optimization of incubation conditions is warranted. Recommendations are made with respect to input parameters for IVIVE of TDI with non-CYP3A enzymes using available data from HLM and HHEPs.
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Affiliation(s)
| | - Elke S Perloff
- Corning Gentest Contract Research Services, United States
| | | | - Thuy Ho
- Corning Gentest Contract Research Services, United States
| | - Reena Patel
- Corning Gentest Contract Research Services, United States
| | - Kirk D Kozminski
- Global Drug Metabolism and Pharmacokinetics, Takeda Pharmaceuticals Limited, United States
| | | | - J George Zhang
- Corning Gentest Contract Research Services, United States
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Grebner C, Matter H, Kofink D, Wenzel J, Schmidt F, Hessler G. Application of Deep Neural Network Models in Drug Discovery Programs. ChemMedChem 2021; 16:3772-3786. [PMID: 34596968 DOI: 10.1002/cmdc.202100418] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2021] [Revised: 09/29/2021] [Indexed: 12/14/2022]
Abstract
In silico driven optimization of compound properties related to pharmacokinetics, pharmacodynamics, and safety is a key requirement in modern drug discovery. Nowadays, large and harmonized datasets allow to implement deep neural networks (DNNs) as a framework for leveraging predictive models. Nevertheless, various available model architectures differ in their global applicability and performance in lead optimization projects, such as stability over time and interpretability of the results. Here, we describe and compare the value of established DNN-based methods for the prediction of key ADME property trends and biological activity in an industrial drug discovery environment, represented by microsomal lability, CYP3A4 inhibition and factor Xa inhibition. Three architectures are exemplified, our earlier described multilayer perceptron approach (MLP), graph convolutional network-based models (GCN) and a vector representation approach, Mol2Vec. From a statistical perspective, MLP and GCN were found to perform superior over Mol2Vec, when applied to external validation sets. Interestingly, GCN-based predictions are most stable over a longer period in a time series validation study. Apart from those statistical observations, DNN prove of value to guide local SAR. To illustrate this important aspect in pharmaceutical research projects, we discuss challenging applications in medicinal chemistry towards a more realistic picture of artificial intelligence in drug discovery.
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Affiliation(s)
- Christoph Grebner
- Sanofi-Aventis Deutschland GmbH, R&D, Integrated Drug Discovery, Industriepark Höchst, 65926, Frankfurt am Main, Germany
| | - Hans Matter
- Sanofi-Aventis Deutschland GmbH, R&D, Integrated Drug Discovery, Industriepark Höchst, 65926, Frankfurt am Main, Germany
| | - Daniel Kofink
- Sanofi-Aventis France SA, R&D, Digital & Data Science, AI and Deep Analytics, 1 Avenue Pierre Brossolette, 91380, Chilly-Mazarin, France
| | - Jan Wenzel
- Sanofi-Aventis Deutschland GmbH, R&D, Preclinical Safety, Industriepark Höchst, 65926, Frankfurt am Main, Germany
| | - Friedemann Schmidt
- Sanofi-Aventis Deutschland GmbH, R&D, Preclinical Safety, Industriepark Höchst, 65926, Frankfurt am Main, Germany
| | - Gerhard Hessler
- Sanofi-Aventis Deutschland GmbH, R&D, Integrated Drug Discovery, Industriepark Höchst, 65926, Frankfurt am Main, Germany
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Rao Gajula SN, Pillai MS, Samanthula G, Sonti R. Cytochrome P450 enzymes: a review on drug metabolizing enzyme inhibition studies in drug discovery and development. Bioanalysis 2021; 13:1355-1378. [PMID: 34517735 DOI: 10.4155/bio-2021-0132] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
Assessment of drug candidate's potential to inhibit cytochrome P450 (CYP) enzymes remains crucial in pharmaceutical drug discovery and development. Both direct and time-dependent inhibition of drug metabolizing CYP enzymes by the concomitant administered drug is the leading cause of drug-drug interactions (DDIs), resulting in the increased toxicity of the victim drug. In this context, pharmaceutical companies have grown increasingly diligent in limiting CYP inhibition liabilities of drug candidates in the early stages and examining risk assessments throughout the drug development process. This review discusses different strategies and decision-making processes for assessing the drug-drug interaction risks by enzyme inhibition and lays particular emphasis on in vitro study designs and interpretation of CYP inhibition data in a stage-appropriate context.
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Affiliation(s)
- Siva Nageswara Rao Gajula
- Department of Pharmaceutical Analysis, National Institute of Pharmaceutical Education & Research (NIPER), Hyderabad, Balanagar, Telangana, 50003, India
| | - Megha Sajakumar Pillai
- Department of Pharmaceutical Analysis, National Institute of Pharmaceutical Education & Research (NIPER), Hyderabad, Balanagar, Telangana, 50003, India
| | - Gananadhamu Samanthula
- Department of Pharmaceutical Analysis, National Institute of Pharmaceutical Education & Research (NIPER), Hyderabad, Balanagar, Telangana, 50003, India
| | - Rajesh Sonti
- Department of Pharmaceutical Analysis, National Institute of Pharmaceutical Education & Research (NIPER), Hyderabad, Balanagar, Telangana, 50003, India
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Salerno SN, Carreño FO, Edginton AN, Cohen-Wolkowiez M, Gonzalez D. Leveraging Physiologically Based Pharmacokinetic Modeling and Experimental Data to Guide Dosing Modification of CYP3A-Mediated Drug-Drug Interactions in the Pediatric Population. Drug Metab Dispos 2021; 49:844-855. [PMID: 34154994 PMCID: PMC10441624 DOI: 10.1124/dmd.120.000318] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2020] [Accepted: 06/02/2021] [Indexed: 11/22/2022] Open
Abstract
Solithromycin is a novel fluoroketolide antibiotic that is both a substrate and time-dependent inhibitor of CYP3A. Solithromycin has demonstrated efficacy in adults with community-acquired bacterial pneumonia and has also been investigated in pediatric patients. The objective of this study was to develop a framework for leveraging physiologically based pharmacokinetic (PBPK) modeling to predict CYP3A-mediated drug-drug interaction (DDI) potential in the pediatric population using solithromycin as a case study. To account for age, we performed in vitro metabolism and time-dependent inhibition studies for solithromycin for CYP3A4, CYP3A5, and CYP3A7. The PBPK model included CYP3A4 and CYP3A5 metabolism and time-dependent inhibition, glomerular filtration, P-glycoprotein transport, and enterohepatic recirculation. The average fold error of simulated and observed plasma concentrations of solithromycin in both adults (1966 plasma samples) and pediatric patients from 4 days to 17.9 years (684 plasma samples) were within 0.5- to 2.0-fold. The geometric mean ratios for the simulated area under the concentration versus time curve (AUC) extrapolated to infinity were within 0.75- to 1.25-fold of observed values in healthy adults receiving solithromycin with midazolam or ketoconazole. DDI potential was simulated in pediatric patients (1 month to 17 years of age) and adults. Solithromycin increased the simulated midazolam AUC 4- to 6-fold, and ketoconazole increased the simulated solithromycin AUC 1- to 2-fold in virtual subjects ranging from 1 month to 65 years of age. This study presents a systematic approach for incorporating CYP3A in vitro data into adult and pediatric PBPK models to predict pediatric CYP3A-mediated DDI potential. SIGNIFICANCE STATEMENT: Using solithromycin, this study presents a framework for investigating and incorporating CYP3A4, CYP3A5, and CYP3A7 in vitro data into adult and pediatric physiologically based pharmacokinetic models to predict CYP3A-mediated DDI potential in adult and pediatric subjects during drug development. In this study, minor age-related differences in inhibitor concentration resulted in differences in the magnitude of the DDI. Therefore, age-related differences in DDI potential for substrates metabolized primarily by CYP3A4 can be minimized by closely matching adult and pediatric inhibitor concentrations.
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Affiliation(s)
- Sara N Salerno
- Division of Pharmacotherapy and Experimental Therapeutics, UNC Eshelman School of Pharmacy, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina (S.N.S., F.O.C., D.G.); School of Pharmacy, University of Waterloo, Kitchener, ON, Canada (A.N.E.); Duke Clinical Research Institute, Durham, NC, USA (M.C.-W.); Department of Pediatrics, Duke University School of Medicine, Durham, North Carolina (M.C.-W.)
| | - Fernando O Carreño
- Division of Pharmacotherapy and Experimental Therapeutics, UNC Eshelman School of Pharmacy, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina (S.N.S., F.O.C., D.G.); School of Pharmacy, University of Waterloo, Kitchener, ON, Canada (A.N.E.); Duke Clinical Research Institute, Durham, NC, USA (M.C.-W.); Department of Pediatrics, Duke University School of Medicine, Durham, North Carolina (M.C.-W.)
| | - Andrea N Edginton
- Division of Pharmacotherapy and Experimental Therapeutics, UNC Eshelman School of Pharmacy, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina (S.N.S., F.O.C., D.G.); School of Pharmacy, University of Waterloo, Kitchener, ON, Canada (A.N.E.); Duke Clinical Research Institute, Durham, NC, USA (M.C.-W.); Department of Pediatrics, Duke University School of Medicine, Durham, North Carolina (M.C.-W.)
| | - Michael Cohen-Wolkowiez
- Division of Pharmacotherapy and Experimental Therapeutics, UNC Eshelman School of Pharmacy, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina (S.N.S., F.O.C., D.G.); School of Pharmacy, University of Waterloo, Kitchener, ON, Canada (A.N.E.); Duke Clinical Research Institute, Durham, NC, USA (M.C.-W.); Department of Pediatrics, Duke University School of Medicine, Durham, North Carolina (M.C.-W.)
| | - Daniel Gonzalez
- Division of Pharmacotherapy and Experimental Therapeutics, UNC Eshelman School of Pharmacy, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina (S.N.S., F.O.C., D.G.); School of Pharmacy, University of Waterloo, Kitchener, ON, Canada (A.N.E.); Duke Clinical Research Institute, Durham, NC, USA (M.C.-W.); Department of Pediatrics, Duke University School of Medicine, Durham, North Carolina (M.C.-W.)
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28
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Numerical Methods for Modeling Enzyme Kinetics. Methods Mol Biol 2021; 2342:147-168. [PMID: 34272694 DOI: 10.1007/978-1-0716-1554-6_6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/28/2023]
Abstract
Differential equations are used to describe time-dependent changes in enzyme kinetics and pharmacokinetics. Analytical and numerical methods can be used to solve differential equations. This chapter describes the use of numerical methods in solving differential equations and its applications in characterizing the complexities observed in enzyme kinetics. A discussion is included on the use of numerical methods to overcome limitations of explicit equations in the analysis of metabolism kinetics, reversible inhibition kinetics, and inactivation kinetics. The chapter describes the advantages of using numerical methods when Michaelis-Menten assumptions do not hold.
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29
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Tseng E, Eng H, Lin J, Cerny MA, Tess DA, Goosen TC, Obach RS. Static and Dynamic Projections of Drug-Drug Interactions Caused by Cytochrome P450 3A Time-Dependent Inhibitors Measured in Human Liver Microsomes and Hepatocytes. Drug Metab Dispos 2021; 49:947-960. [PMID: 34326140 DOI: 10.1124/dmd.121.000497] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2021] [Accepted: 07/01/2021] [Indexed: 11/22/2022] Open
Abstract
Cytochrome P450 3A (CYP3A) is a frequent target for time-dependent inhibition (TDI) that can give rise to drug-drug interactions (DDI). Yet many drugs that exhibit in vitro TDI for CYP3A, do not result in DDI. Twenty-three drugs with published clinical DDI were evaluated for CYP3A TDI in human liver microsomes (HLM) and hepatocytes (HHEP), and these data were utilized in static and dynamic models for projecting DDI caused by inactivation of CYP3A in both liver and intestine. TDI parameters measured in HHEP, particularly kinact, were generally lower than those measured in HLM. In static models, the use of average unbound organ exit concentrations offered the most accurate projections of DDI with geometric mean fold errors of 2.2 and 1.7 for HLM and HHEP, respectively. Use of maximum organ entry concentrations yielded marked overestimates of DDI. When evaluated in a binary fashion (i.e. projection of DDI of 1.25-fold or greater), data from HLM offered the greatest sensitivity (100%) and specificity (42%) and yielded no missed DDI when average unbound organ exit concentrations were used. In dynamic physiologically-based pharmacokinetic modeling, accurate projections of DDI were obtained with geometric mean fold errors of 1.7 and 1.6 for HLM and HHEP, respectively. Sensitivity and specificity were 100% and 67% when using TDI data generated in HLM and Simcyp modeling. Overall, DDI caused by CYP3A-mediated TDI can be reliably projected using dynamic or static models. For static models, average organ unbound exit concentrations must be used as input values otherwise DDI will be markedly overestimated. Significance Statement CYP3A time-dependent inhibitors are important in design and development of new drugs. The prevalence of CYP3A TDI is high among newly synthesized drug candidates and understanding the potential need for running clinical DDI studies is essential during drug development. Ability to reliably predict DDI caused by CYP3A TDI has been difficult to achieve. We report a thorough evaluation of CYP3A TDI and demonstrate that DDI can be predicted when using appropriate models and input parameters generated in HLM or HHEP.
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Affiliation(s)
- Elaine Tseng
- Pharmacokinetics, Dynamics, and Metabolism, Pfizer Global Research and Development, United States
| | - Heather Eng
- Pharmacokinetics, Dynamics, and Metabolism, Pfizer Global Research and Development, United States
| | | | | | | | - Theunis C Goosen
- Pharmacokinetics, Dynamics & Metabolism, Pfizer, Inc, United States
| | - R Scott Obach
- Groton Laboratories, Pfizer Global Research and Development, United States
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30
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Shackleford DM, Chiu FCK, Katneni K, Blundell S, McLaren J, Wang X, Zhou L, Sriraghavan K, Alker AM, Hunziker D, Scheurer C, Zhao Q, Dong Y, Möhrle JJ, Abla N, Matile H, Wittlin S, Vennerstrom JL, Charman SA. Cytochrome P450-Mediated Metabolism and CYP Inhibition for the Synthetic Peroxide Antimalarial OZ439. ACS Infect Dis 2021; 7:1885-1893. [PMID: 34101429 PMCID: PMC8802618 DOI: 10.1021/acsinfecdis.1c00225] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
OZ439 is a potent synthetic ozonide evaluated for the treatment of uncomplicated malaria. The metabolite profile of OZ439 was characterized in vitro using human liver microsomes combined with LC/MS-MS, chemical derivatization, and metabolite synthesis. The primary biotransformations were monohydroxylation at the three distal carbon atoms of the spiroadamantane substructure, with minor contributions from N-oxidation of the morpholine nitrogen and deethylation cleavage of the morpholine ring. Secondary transformations resulted in the formation of dihydroxylation metabolites and metabolites containing both monohydroxylation and morpholine N-oxidation. With the exception of two minor metabolites, none of the other metabolites had appreciable antimalarial activity. Reaction phenotyping indicated that CYP3A4 is the enzyme responsible for the metabolism of OZ439, and it was found to inhibit CYP3A via both direct and mechanism-based inhibition. Elucidation of the metabolic pathways and kinetics will assist with efforts to predict potential metabolic drug-drug interactions and support physiologically based pharmacokinetic (PBPK) modeling.
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Affiliation(s)
- David M Shackleford
- Centre for Drug Candidate Optimisation, Monash Institute of Pharmaceutical Sciences, Monash University (Parkville Campus), 381 Royal Parade, Parkville, Victoria 3052, Australia
| | - Francis C K Chiu
- Centre for Drug Candidate Optimisation, Monash Institute of Pharmaceutical Sciences, Monash University (Parkville Campus), 381 Royal Parade, Parkville, Victoria 3052, Australia
| | - Kasiram Katneni
- Centre for Drug Candidate Optimisation, Monash Institute of Pharmaceutical Sciences, Monash University (Parkville Campus), 381 Royal Parade, Parkville, Victoria 3052, Australia
| | - Scott Blundell
- Centre for Drug Candidate Optimisation, Monash Institute of Pharmaceutical Sciences, Monash University (Parkville Campus), 381 Royal Parade, Parkville, Victoria 3052, Australia
| | - Jenna McLaren
- Centre for Drug Candidate Optimisation, Monash Institute of Pharmaceutical Sciences, Monash University (Parkville Campus), 381 Royal Parade, Parkville, Victoria 3052, Australia
| | - Xiaofang Wang
- College of Pharmacy, University of Nebraska Medical Center, 986125 Nebraska Medical Center, Omaha, Nebraska 68198, United States
| | - Lin Zhou
- College of Pharmacy, University of Nebraska Medical Center, 986125 Nebraska Medical Center, Omaha, Nebraska 68198, United States
| | - Kamaraj Sriraghavan
- College of Pharmacy, University of Nebraska Medical Center, 986125 Nebraska Medical Center, Omaha, Nebraska 68198, United States
| | - André M Alker
- Roche Pharmaceutical Research and Early Development, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd, Grenzacherstrasse 124, CH-4070 Basel, Switzerland
| | - Daniel Hunziker
- Roche Pharmaceutical Research and Early Development, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd, Grenzacherstrasse 124, CH-4070 Basel, Switzerland
| | - Christian Scheurer
- Swiss Tropical and Public Health Institute, Socinstrasse 57, CH-4002 Basel, Switzerland
- University of Basel, CH-4003 Basel, Switzerland
| | - Qingjie Zhao
- College of Pharmacy, University of Nebraska Medical Center, 986125 Nebraska Medical Center, Omaha, Nebraska 68198, United States
| | - Yuxiang Dong
- College of Pharmacy, University of Nebraska Medical Center, 986125 Nebraska Medical Center, Omaha, Nebraska 68198, United States
| | - Jörg J Möhrle
- Medicines for Malaria Venture, 20 Route de Pré-Bois, CH-1215 Geneva 15, Switzerland
| | - Nada Abla
- Medicines for Malaria Venture, 20 Route de Pré-Bois, CH-1215 Geneva 15, Switzerland
| | - Hugues Matile
- Roche Pharmaceutical Research and Early Development, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd, Grenzacherstrasse 124, CH-4070 Basel, Switzerland
| | - Sergio Wittlin
- Swiss Tropical and Public Health Institute, Socinstrasse 57, CH-4002 Basel, Switzerland
- University of Basel, CH-4003 Basel, Switzerland
| | - Jonathan L Vennerstrom
- College of Pharmacy, University of Nebraska Medical Center, 986125 Nebraska Medical Center, Omaha, Nebraska 68198, United States
| | - Susan A Charman
- Centre for Drug Candidate Optimisation, Monash Institute of Pharmaceutical Sciences, Monash University (Parkville Campus), 381 Royal Parade, Parkville, Victoria 3052, Australia
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Ayet E, Yeste S, Reinoso RF, Pretel MJ, Balada A, Serafini MT. Preliminary in vitro approach to evaluate the drug-drug interaction potential of EST73502, a dual µ-opioid receptor partial agonist and σ1 receptor antagonist. Xenobiotica 2021; 51:501-512. [PMID: 33622176 DOI: 10.1080/00498254.2021.1877850] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2020] [Revised: 01/13/2021] [Accepted: 01/14/2021] [Indexed: 10/22/2022]
Abstract
The potential for drug-drug interactions (DDI) of EST73502 was preliminary explored in vitro. EST73502 is a new chemical entity intended for oral pain treatment with dual sigma-1 receptor (σ1R) antagonism and μ-opioid receptor (MOR) partial agonism, that presents a promising potent analgesic activity.Several enzymes were involved in EST73502 metabolism catalysing the formation of different metabolites, CYP3A4 and CYP2D6 being the main ones.Fraction unbound was determined due to its impact in interactions, a considerable proportion of EST73502 being available.EST73502 showed a low potential for CYP inhibition, except for CYP2D6 that showed time-dependent inhibition.No induction potential was found for CYP1A2 and 3A4, while CYP2B6 was induced at high concentration.EST73502 seemed to be a potential efflux transporter substrate (efflux ratio ≥ 2) but a negligible in vivo impact would be expected due to its high solubility and permeability in Caco-2 cells. P-gp inhibition was observed while no BCRP inhibition was detected.Preliminary in vitro interaction studies suggested that neither CYPs nor efflux transporters interactions would preclude further development of EST73502 to thoroughly assess the clinical relevance of these findings.
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Affiliation(s)
- Eva Ayet
- WELAB, Parc Científic Barcelona, Baldiri Reixac 4-8, Barcelona 08028, Spain
| | - Sandra Yeste
- WELAB, Parc Científic Barcelona, Baldiri Reixac 4-8, Barcelona 08028, Spain
| | - Raquel F Reinoso
- WELAB, Parc Científic Barcelona, Baldiri Reixac 4-8, Barcelona 08028, Spain
| | - María José Pretel
- Early ADME, Drug Discovery and Preclinical Development, ESTEVE Pharmaceuticals S.A, Barcelona, Spain
| | - Ariadna Balada
- Early ADME, Drug Discovery and Preclinical Development, ESTEVE Pharmaceuticals S.A, Barcelona, Spain
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Amaeze O, Eng H, Horlbogen L, Varma MVS, Slitt A. Cytochrome P450 Enzyme Inhibition and Herb-Drug Interaction Potential of Medicinal Plant Extracts Used for Management of Diabetes in Nigeria. Eur J Drug Metab Pharmacokinet 2021; 46:437-450. [PMID: 33844145 DOI: 10.1007/s13318-021-00685-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Abstract
BACKGROUND AND OBJECTIVE The use of herbal medicines is common in Africa, and patients often use a combination of herbs and drugs. Concurrent herbal and pharmaceuticals treatments can cause adverse effects through herb-drug interactions (HDI). This study evaluated the potential risk of HDI for five medicinal plants, Vernonia amygdalina, Ocimum gratissimum, Moringa oleifera, Azadirachta indica, and Picralima nitida, using in vitro assays. Patients with diabetes and some other disease conditions commonly use these medicinal plants in Nigeria, and little is known regarding their potential for drug interaction, despite their enormous use. METHODS Crude extracts of the medicinal plants were evaluated for reversible and time-dependent inhibition (TDI) activity of six cytochrome P450 (CYP) enzymes using pooled human liver microsomes and cocktail probe-based assays. Enzyme activity was determined by quantifying marker metabolites' formation using liquid chromatography-mass spectrometry/mass spectrometry. The drug interaction potential was predicted for each herbal extract using the in vitro half-maximal inhibitory concentration (IC50) values and the percentage yield. RESULTS O. gratissimum methanol extracts reversibly inhibited CYP 1A2, 2C8, 2C9 and 2C19 enzymes (IC50: 6.21 µg/ml, 2.96 µg/ml, 3.33 µg/ml and 1.37 µg/ml, respectively). Additionally, V. amygdalina methanol extract inhibited CYP2C8 activity (IC50: 5.71 µg/ml); P. nitida methanol and aqueous extracts inhibited CYP2D6 activity (IC50: 1.99 µg/ml and 2.36 µg/ml, respectively) while A. indica methanol extract inhibited CYP 3A4/5, 2C8 and 2C9 activity (IC50: 7.31 µg/ml, 9.97 µg/ml and 9.20 µg/ml, respectively). The extracts showed a potential for TDI of the enzymes when incubated at 200 µg/ml; V. amygdalina and A. indica methanol extracts exhibited TDI potential for all the major CYPs. CONCLUSIONS The medicinal plants inhibited CYP activity in vitro, with the potential to cause in vivo HDI. Clinical risk assessment and proactive monitoring are recommended for patients who use these medicinal plants concurrently with drugs that are cleared through CYP metabolism.
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Affiliation(s)
- Ogochukwu Amaeze
- Department of Biomedical and Pharmaceutical Sciences, College of Pharmacy, University of Rhode Island, 7 Greenhouse Rd, Kingston, RI, 02881, USA.,Department of Clinical Pharmacy and Biopharmacy, Faculty of Pharmacy, University of Lagos, Lagos, Nigeria
| | - Heather Eng
- Pharmacokinetics, Dynamics and Metabolism, Pfizer Inc., Groton, CT, USA
| | - Lauren Horlbogen
- Pharmacokinetics, Dynamics and Metabolism, Pfizer Inc., Groton, CT, USA
| | | | - Angela Slitt
- Department of Biomedical and Pharmaceutical Sciences, College of Pharmacy, University of Rhode Island, 7 Greenhouse Rd, Kingston, RI, 02881, USA.
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33
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Eng H, Tseng E, Cerny MA, Goosen TC, Obach RS. Cytochrome P450 3A Time-Dependent Inhibition Assays Are Too Sensitive for Identification of Drugs Causing Clinically Significant Drug-Drug Interactions: A Comparison of Human Liver Microsomes and Hepatocytes and Definition of Boundaries for Inactivation Rate Constants. Drug Metab Dispos 2021; 49:442-450. [PMID: 33811106 DOI: 10.1124/dmd.121.000356] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2021] [Accepted: 03/18/2021] [Indexed: 02/06/2023] Open
Abstract
Time-dependent inhibition (TDI) of CYP3A is an important mechanism underlying numerous drug-drug interactions (DDIs), and assays to measure this are done to support early drug research efforts. However, measuring TDI of CYP3A in human liver microsomes (HLMs) frequently yields overestimations of clinical DDIs and thus can lead to the erroneous elimination of many viable drug candidates from further development. In this investigation, 50 drugs were evaluated for TDI in HLMs and suspended human hepatocytes (HHEPs) to define appropriate boundary lines for the TDI parameter rate constant for inhibition (kobs) at a concentration of 30 µM. In HLMs, a kobs value of 0.002 minute-1 was statistically distinguishable from control; however, many drugs show kobs greater than this but do not cause DDI. A boundary line defined by the drug with the lowest kobs that causes a DDI (diltiazem) was established at 0.01 minute-1 Even with this boundary, of the 33 drugs above this value, only 61% cause a DDI (true positive rate). A corresponding analysis was done using HHEPs; kobs of 0.0015 minute-1 was statistically distinguishable from control, and the boundary was established at 0.006 minute-1 Values of kobs in HHEPs were almost always lower than those in HLMs. These findings offer a practical guide to the use of TDI data for CYP3A in early drug-discovery research. SIGNIFICANCE STATEMENT: Time-dependent inhibition of CYP3A is responsible for many drug interactions. In vitro assays are employed in early drug research to identify and remove CYP3A time-dependent inhibitors from further consideration. This analysis demonstrates suitable boundaries for inactivation rates to better delineate drug candidates for their potential to cause clinically significant drug interactions.
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Affiliation(s)
- Heather Eng
- Medicine Design, Pfizer Inc., Groton, Connecticut
| | - Elaine Tseng
- Medicine Design, Pfizer Inc., Groton, Connecticut
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Abstract
The study of enzyme kinetics in drug metabolism involves assessment of rates of metabolism and inhibitory potencies over a suitable concentration range. In all but the very simplest in vitro system, these drug concentrations can be influenced by a variety of nonspecific binding reservoirs that can reduce the available concentration to the enzyme system(s) under investigation. As a consequence, the apparent kinetic parameters, such as Km or Ki, that are derived can deviate from the true values. There are a number of sources of these nonspecific binding depots or barriers, including membrane permeation and partitioning, plasma or serum protein binding, and incubational binding. In the latter case, this includes binding to the assay apparatus as well as biological depots, depending on the characteristics of the in vitro matrix being used. Given the wide array of subcellular, cellular, and recombinant enzyme systems utilized in drug metabolism, each of these has different components which can influence the free drug concentration. The physicochemical properties of the test compound are also paramount in determining the influential factors in any deviation between true and apparent kinetic behavior. This chapter describes the underlying mechanisms determining the free drug concentration in vitro and how these factors can be accounted for in drug metabolism studies, illustrated with case studies from the literature.
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Affiliation(s)
- Nigel J Waters
- Preclinical Development, Black Diamond Therapeutics, Cambridge, MA, USA
| | - R Scott Obach
- Pharmacokinetics, Dynamics and Metabolism, Pfizer Inc, Groton, CT, USA
| | - Li Di
- Pharmacokinetics, Dynamics and Metabolism, Pfizer Inc, Groton, CT, USA
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Liu Y, Liu C, Liu Y, Ge Q, Sun C. Cytochrome P450 Mediated Bioactivation of Rutaevin, a Bioactive and Potentially Hepatotoxic Component of Evodia Rutaecarpa. Chem Res Toxicol 2020; 33:3054-3064. [PMID: 33305580 DOI: 10.1021/acs.chemrestox.0c00475] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Yutao Liu
- Department of Drug Clinical Trial Institution, Yantaishan Hospital, No. 91 Jiefang Road, Yantai 26400, Shandong Province, China
| | - Chang Liu
- College of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan 250000, Shandong Province, China
| | - Yamei Liu
- College of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan 250000, Shandong Province, China
| | - Quanli Ge
- Department of Pharmacy, Yantaishan Hospital, No. 91 Jiefang Road, Yantai 26400, Shandong Province, China
| | - Chen Sun
- Department of Internal Medicine, Yantai Municipal Government Hospital, No. 16 Yuhuangding West Road, Yantai 264000, Shandong Province, China
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Pharmacokinetic drug–drug interactions: an insight into recent US FDA-approved drugs for prostate cancer. Bioanalysis 2020; 12:1647-1664. [DOI: 10.4155/bio-2020-0242] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023] Open
Abstract
Pharmacokinetic drug–drug interaction is a significant safety and efficiency concern as it results in considerable concentration changes. Drug–drug interactions are a substantial concern in anticancer drugs that possess a narrow therapeutic index. These interactions remain as the principal regulatory obstacle that can lead to termination in the preclinical stage, restrictions in the prescription, dosage adjustments or withdrawal of the drugs from the market. Drug metabolizing enzymes or transporters mediate the majority of clinically relevant drug interactions. Cancer diagnosed aged patients use multiple medications and are more prone to significant drug–drug interactions. This review provides detailed information on clinically relevant drug–drug interactions resulting from drug metabolism by enzymes and transporters with a particular emphasis on recent FDA approved antiprostate cancer drugs.
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Tanna RS, Tian DD, Cech NB, Oberlies NH, Rettie AE, Thummel KE, Paine MF. Refined Prediction of Pharmacokinetic Kratom-Drug Interactions: Time-Dependent Inhibition Considerations. J Pharmacol Exp Ther 2020; 376:64-73. [PMID: 33093187 DOI: 10.1124/jpet.120.000270] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2020] [Accepted: 10/08/2020] [Indexed: 02/06/2023] Open
Abstract
Preparations from the leaves of the kratom plant (Mitragyna speciosa) are consumed for their opioid-like effects. Several deaths have been associated with kratom used concomitantly with some drugs. Pharmacokinetic interactions are potential underlying mechanisms of these fatalities. Accumulating in vitro evidence has demonstrated select kratom alkaloids, including the abundant indole alkaloid mitragynine, as reversible inhibitors of several cytochromes P450 (CYPs). The objective of this work was to refine the mechanistic understanding of potential kratom-drug interactions by considering both reversible and time-dependent inhibition (TDI) of CYPs in the liver and intestine. Mitragynine was tested against CYP2C9 (diclofenac 4'-hydroxylation), CYP2D6 (dextromethorphan O-demethylation), and CYP3A (midazolam 1'-hydroxylation) activities in human liver microsomes (HLMs) and CYP3A activity in human intestinal microsomes (HIMs). Comparing the absence to presence of NADPH during preincubation of mitragynine with HLMs or HIMs, an ∼7-fold leftward shift in IC50 (∼20 to 3 μM) toward CYP3A resulted, prompting determination of TDI parameters (HLMs: K I , 4.1 ± 0.9 μM; k inact , 0.068 ± 0.01 min-1; HIMs: K I , 4.2 ± 2.5 μM; k inact , 0.079 ± 0.02 min-1). Mitragynine caused no leftward shift in IC50 toward CYP2C9 (∼40 μM) and CYP2D6 (∼1 μM) but was a strong competitive inhibitor of CYP2D6 (K i , 1.17 ± 0.07 μM). Using a recommended mechanistic static model, mitragynine (2-g kratom dose) was predicted to increase dextromethorphan and midazolam area under the plasma concentration-time curve by 1.06- and 5.69-fold, respectively. The predicted midazolam area under the plasma concentration-time curve ratio exceeded the recommended cutoff (1.25), which would have been missed if TDI was not considered. SIGNIFICANCE STATEMENT: Kratom, a botanical natural product increasingly consumed for its opioid-like effects, may precipitate potentially serious pharmacokinetic interactions with drugs. The abundant kratom indole alkaloid mitragynine was shown to be a time-dependent inhibitor of hepatic and intestinal cytochrome P450 3A activity. A mechanistic static model predicted mitragynine to increase systemic exposure to the probe drug substrate midazolam by 5.7-fold, necessitating further evaluation via dynamic models and clinical assessment to advance the understanding of consumer safety associated with kratom use.
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Affiliation(s)
- Rakshit S Tanna
- Department of Pharmaceutical Sciences, College of Pharmacy and Pharmaceutical Sciences, Washington State University, Spokane, Washington (R.S.T., D.-D.T., M.F.P.); Department of Chemistry and Biochemistry, University of North Carolina at Greensboro, Greensboro, North Carolina (N.B.C., N.H.O.); Departments of Medicinal Chemistry (A.E.R.) and Pharmaceutics (K.E.T.), School of Pharmacy, University of Washington, Seattle, Washington; and Center of Excellence for Natural Product Drug Interaction Research, Spokane, Washington (N.B.C., N.H.O., A.E.R., K.E.T., M.F.P.)
| | - Dan-Dan Tian
- Department of Pharmaceutical Sciences, College of Pharmacy and Pharmaceutical Sciences, Washington State University, Spokane, Washington (R.S.T., D.-D.T., M.F.P.); Department of Chemistry and Biochemistry, University of North Carolina at Greensboro, Greensboro, North Carolina (N.B.C., N.H.O.); Departments of Medicinal Chemistry (A.E.R.) and Pharmaceutics (K.E.T.), School of Pharmacy, University of Washington, Seattle, Washington; and Center of Excellence for Natural Product Drug Interaction Research, Spokane, Washington (N.B.C., N.H.O., A.E.R., K.E.T., M.F.P.)
| | - Nadja B Cech
- Department of Pharmaceutical Sciences, College of Pharmacy and Pharmaceutical Sciences, Washington State University, Spokane, Washington (R.S.T., D.-D.T., M.F.P.); Department of Chemistry and Biochemistry, University of North Carolina at Greensboro, Greensboro, North Carolina (N.B.C., N.H.O.); Departments of Medicinal Chemistry (A.E.R.) and Pharmaceutics (K.E.T.), School of Pharmacy, University of Washington, Seattle, Washington; and Center of Excellence for Natural Product Drug Interaction Research, Spokane, Washington (N.B.C., N.H.O., A.E.R., K.E.T., M.F.P.)
| | - Nicholas H Oberlies
- Department of Pharmaceutical Sciences, College of Pharmacy and Pharmaceutical Sciences, Washington State University, Spokane, Washington (R.S.T., D.-D.T., M.F.P.); Department of Chemistry and Biochemistry, University of North Carolina at Greensboro, Greensboro, North Carolina (N.B.C., N.H.O.); Departments of Medicinal Chemistry (A.E.R.) and Pharmaceutics (K.E.T.), School of Pharmacy, University of Washington, Seattle, Washington; and Center of Excellence for Natural Product Drug Interaction Research, Spokane, Washington (N.B.C., N.H.O., A.E.R., K.E.T., M.F.P.)
| | - Allan E Rettie
- Department of Pharmaceutical Sciences, College of Pharmacy and Pharmaceutical Sciences, Washington State University, Spokane, Washington (R.S.T., D.-D.T., M.F.P.); Department of Chemistry and Biochemistry, University of North Carolina at Greensboro, Greensboro, North Carolina (N.B.C., N.H.O.); Departments of Medicinal Chemistry (A.E.R.) and Pharmaceutics (K.E.T.), School of Pharmacy, University of Washington, Seattle, Washington; and Center of Excellence for Natural Product Drug Interaction Research, Spokane, Washington (N.B.C., N.H.O., A.E.R., K.E.T., M.F.P.)
| | - Kenneth E Thummel
- Department of Pharmaceutical Sciences, College of Pharmacy and Pharmaceutical Sciences, Washington State University, Spokane, Washington (R.S.T., D.-D.T., M.F.P.); Department of Chemistry and Biochemistry, University of North Carolina at Greensboro, Greensboro, North Carolina (N.B.C., N.H.O.); Departments of Medicinal Chemistry (A.E.R.) and Pharmaceutics (K.E.T.), School of Pharmacy, University of Washington, Seattle, Washington; and Center of Excellence for Natural Product Drug Interaction Research, Spokane, Washington (N.B.C., N.H.O., A.E.R., K.E.T., M.F.P.)
| | - Mary F Paine
- Department of Pharmaceutical Sciences, College of Pharmacy and Pharmaceutical Sciences, Washington State University, Spokane, Washington (R.S.T., D.-D.T., M.F.P.); Department of Chemistry and Biochemistry, University of North Carolina at Greensboro, Greensboro, North Carolina (N.B.C., N.H.O.); Departments of Medicinal Chemistry (A.E.R.) and Pharmaceutics (K.E.T.), School of Pharmacy, University of Washington, Seattle, Washington; and Center of Excellence for Natural Product Drug Interaction Research, Spokane, Washington (N.B.C., N.H.O., A.E.R., K.E.T., M.F.P.)
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Le Merdy M, Tan ML, Sun D, Ni Z, Lee SC, Babiskin A, Zhao L. Physiologically Based Pharmacokinetic Modeling Approach to Identify the Drug-Drug Interaction Mechanism of Nifedipine and a Proton Pump Inhibitor, Omeprazole. Eur J Drug Metab Pharmacokinet 2020; 46:41-51. [PMID: 33064292 DOI: 10.1007/s13318-020-00649-x] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
BACKGROUND AND OBJECTIVES Proton pump inhibitors (PPIs) can affect the intragastric release of other drugs from their dosage forms by elevating the gastric pH. They may also influence drug absorption and metabolism by interacting with P-glycoprotein or with the cytochrome P450 (CYP) enzyme system. Nifedipine is a Biopharmaceutics Classification System (BCS) class II drug with low solubility across physiologic pH and high permeability. Previous studies have demonstrated that drug-drug interaction (DDI) existed between omeprazole and nifedipine with significantly increased systemic exposure of nifedipine in subjects after pre-treatment for 7 days with omeprazole compared to the subjects without omeprazole treatment. It was shown that omeprazole not only induced an increase in intragastric pH, but also inhibited the CYP3A4 activity, while CYP3A4-mediated oxidation is the main metabolic pathway of nifedipine. The purpose of this study is to apply a physiologically based pharmacokinetic (PBPK) modeling approach to investigate the DDI mechanism for an immediate release formulation of nifedipine with omeprazole. METHODS A previously published model for omeprazole was modified to integrate metabolites and to update CYP inhibition based on the most updated published in vitro data. We simulated the nifedipine pharmacokinetics in healthy subjects with or without the multiple-dose pretreatment of omeprazole (20 mg) following oral administrations of immediate-release (IR) (10 mg) nifedipine. Nifedipine solubility at different pHs was used to simulate the nifedipine pharmacokinetics for both clinical arms. Multiple sensitivity analyses were performed to understand the impact of gastric pH and the CYP3A4-mediated gut and liver first pass metabolism on the overall nifedipine pharmacokinetics. RESULTS The developed PBPK model properly described the pharmacokinetics of nifedipine and predicted the inhibitory effect of multiple-dose omeprazole on CYP3A4 activity. With the incorporation of the physiologic effect of omeprazole on both gastric pH and CYP3A4 to the PBPK model, the verified PBPK model allows evaluating the impact of the increase in gastric pH and/or CYP3A4 inhibition. The simulated results show that the nifedipine metabolic inhibition by omeprazole may play an important role in the DDI between nifedipine and omeprazole for IR nifedipine formulation. CONCLUSION The developed full PBPK model with the capability to simulate DDI by considering gastric pH change and metabolic inhibition provides a mechanistic understanding of the observed DDI of nifedipine with a PPI, omeprazole.
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Affiliation(s)
- Maxime Le Merdy
- Division of Quantitative Methods and Modeling, Office of Research and Standards, Office of Generic Drugs, Center for Drug Evaluation and Research, Food and Drug Administration, 10903 New Hampshire Avenue, Silver Spring, MD, 20993, USA
| | - Ming-Liang Tan
- Division of Quantitative Methods and Modeling, Office of Research and Standards, Office of Generic Drugs, Center for Drug Evaluation and Research, Food and Drug Administration, 10903 New Hampshire Avenue, Silver Spring, MD, 20993, USA
| | - Dajun Sun
- Division of Quantitative Methods and Modeling, Office of Research and Standards, Office of Generic Drugs, Center for Drug Evaluation and Research, Food and Drug Administration, 10903 New Hampshire Avenue, Silver Spring, MD, 20993, USA
| | - Zhanglin Ni
- Division of Quantitative Methods and Modeling, Office of Research and Standards, Office of Generic Drugs, Center for Drug Evaluation and Research, Food and Drug Administration, 10903 New Hampshire Avenue, Silver Spring, MD, 20993, USA
| | - Sue-Chih Lee
- Division of Quantitative Methods and Modeling, Office of Research and Standards, Office of Generic Drugs, Center for Drug Evaluation and Research, Food and Drug Administration, 10903 New Hampshire Avenue, Silver Spring, MD, 20993, USA
| | - Andrew Babiskin
- Division of Quantitative Methods and Modeling, Office of Research and Standards, Office of Generic Drugs, Center for Drug Evaluation and Research, Food and Drug Administration, 10903 New Hampshire Avenue, Silver Spring, MD, 20993, USA.
| | - Liang Zhao
- Division of Quantitative Methods and Modeling, Office of Research and Standards, Office of Generic Drugs, Center for Drug Evaluation and Research, Food and Drug Administration, 10903 New Hampshire Avenue, Silver Spring, MD, 20993, USA
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Sudsakorn S, Bahadduri P, Fretland J, Lu C. 2020 FDA Drug-drug Interaction Guidance: A Comparison Analysis and Action Plan by Pharmaceutical Industrial Scientists. Curr Drug Metab 2020; 21:403-426. [DOI: 10.2174/1389200221666200620210522] [Citation(s) in RCA: 39] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2020] [Revised: 04/28/2020] [Accepted: 05/28/2020] [Indexed: 12/26/2022]
Abstract
Background:
In January 2020, the US FDA published two final guidelines, one entitled “In vitro Drug
Interaction Studies - Cytochrome P450 Enzyme- and Transporter-Mediated Drug Interactions Guidance for Industry”
and the other entitled “Clinical Drug Interaction Studies - Cytochrome P450 Enzyme- and Transporter-Mediated
Drug Interactions Guidance for Industry”. These were updated from the 2017 draft in vitro and clinical DDI
guidance.
Methods:
This study is aimed to provide an analysis of the updates along with a comparison of the DDI guidelines
published by the European Medicines Agency (EMA) and Japanese Pharmaceuticals and Medical Devices Agency
(PMDA) along with the current literature.
Results:
The updates were provided in the final FDA DDI guidelines and explained the rationale of those changes
based on the understanding from research and literature. Furthermore, a comparison among the FDA, EMA, and
PMDA DDI guidelines are presented in Tables 1, 2 and 3.
Conclusion:
The new 2020 clinical DDI guidance from the FDA now has even higher harmonization with the
guidance (or guidelines) from the EMA and PMDA. A comparison of DDI guidance from the FDA 2017, 2020,
EMA, and PMDA on CYP and transporter based DDI, mathematical models, PBPK, and clinical evaluation of DDI
is presented in this review.
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Affiliation(s)
- Sirimas Sudsakorn
- Department of Drug Metabolism and Pharmacokinetics, Sanofi-Genzyme, Waltham, MA 02451, United States
| | - Praveen Bahadduri
- Department of Drug Metabolism and Pharmacokinetics, Sanofi-Genzyme, Waltham, MA 02451, United States
| | - Jennifer Fretland
- Department of Drug Metabolism and Pharmacokinetics, Sanofi-Genzyme, Waltham, MA 02451, United States
| | - Chuang Lu
- Department of Drug Metabolism and Pharmacokinetics, Sanofi-Genzyme, Waltham, MA 02451, United States
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Evaluation of the pharmacokinetic drug-drug interaction potential of iohexol, a renal filtration marker. Cancer Chemother Pharmacol 2020; 86:535-545. [PMID: 32948918 DOI: 10.1007/s00280-020-04145-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2020] [Accepted: 09/06/2020] [Indexed: 12/13/2022]
Abstract
PURPOSE Carboplatin dose is calculated based on kidney function, commonly estimated with imperfect creatinine-based formulae. Iohexol is used to measure glomerular filtration rate (GFR) and allows calculation of a more appropriate carboplatin dose. To address potential concerns that iohexol administered during a course of chemotherapy impacts that therapy, we performed in vitro and in vivo pharmacokinetic drug-drug interaction evaluations of iohexol. METHODS Carboplatin was administered IV to female mice at 60 mg/kg with or without iohexol at 300 mg/kg. Plasma ultrafiltrate, kidney and bone marrow platinum was quantitated by atomic absorption spectrophotometry. Paclitaxel microsomal and gemcitabine cytosolic metabolism as well as metabolism of CYP and UGT probes was assessed with and without iohexol at 300 µg/mL by LC-MS/MS. RESULTS In vivo carboplatin exposure was not significantly affected by iohexol co-administration (platinum AUC combination vs alone: plasma ultrafiltrate 1,791 vs 1920 µg/mL min; kidney 8367 vs 9757 µg/g min; bone marrow 12.7 vs 12.7 µg/mg-protein min). Paclitaxel microsomal metabolism was not impacted (combination vs alone: 6-α-OH-paclitaxel 38.3 versus 39.4 ng/mL/60 min; 3-p-OH-paclitaxel 26.2 versus 27.7 ng/mL/60 min). Gemcitabine human cytosolic elimination was not impacted (AUC combination vs gemcitabine alone: dFdU 24.1 versus 23.7 µg/mL/30 min). Iohexol displayed no relevant inhibition of the CYP and UGT enzymes in human liver microsomes. CONCLUSIONS Iohexol is unlikely to affect the clinical pharmacokinetics of carboplatin, paclitaxel, gemcitabine, or other agents used in combination with carboplatin treatment. Measuring GFR with iohexol to better dose carboplatin is unlikely to alter the safety or efficacy of chemotherapy through pharmacokinetic drug-drug interactions.
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Pham C, Nagar S, Korzekwa K. Numerical analysis of time-dependent inhibition kinetics: comparison between rat liver microsomes and rat hepatocyte data for mechanistic model fitting. Xenobiotica 2020. [PMID: 28644704 DOI: 10.1080/00498254.2017.1345020] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Time-dependent inhibition (TDI) may confound drug interaction predictions. Recently, models were generated for an array of TDI kinetic schemes using numerical analysis of microsomal assays. Additionally, a distinct terminal inactivation step was identified for certain mechanism based inhibitors (MBI) following reversible metabolite intermediate complex (MIC) formation. Longer hepatocyte incubations potentially allow analysis of slow TDI and terminal inactivation. In the experiments presented here, we compared the quality of TDI parameterization by numerical analysis between hepatocyte and microsomal data. Rat liver microsomes (RLM), suspended rat hepatocytes (SRH) and sandwich-cultured rat hepatocytes (SCRH) were incubated with the prototypical CYP3A MBI troleandomycin and the substrate midazolam. Data from RLM provided a better model fit as compared to SRH. Increased CYP3A expression after dexamethasone (DEX) induction improved the fit for RLM and SRH. A novel sequential kinetic scheme, defining inhibitor metabolite production prior to MIC formation, improved the fit compared to direct MIC formation. Furthermore, terminal inactivation rate constants were parameterized for RLM and SRH samples with DEX-induced CYP3A. The low expression of CYP3A and experimental error in SCRH resulted in poor data for model fitting. Overall, RLM generated data better suited for elucidation of TDI mechanisms by numerical analysis.
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Affiliation(s)
- Chuong Pham
- Department of Pharmaceutical Sciences, Temple University School of Pharmacy, Philadelphia, PA, USA
| | - Swati Nagar
- Department of Pharmaceutical Sciences, Temple University School of Pharmacy, Philadelphia, PA, USA
| | - Ken Korzekwa
- Department of Pharmaceutical Sciences, Temple University School of Pharmacy, Philadelphia, PA, USA
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Kaartinen TJK, Tornio A, Tapaninen T, Launiainen T, Isoherranen N, Niemi M, Backman JT. Effect of High‐Dose Esomeprazole on CYP1A2, CYP2C19, and CYP3A4 Activities in Humans: Evidence for Substantial and Long‐lasting Inhibition of CYP2C19. Clin Pharmacol Ther 2020; 108:1254-1264. [DOI: 10.1002/cpt.1949] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2020] [Accepted: 06/04/2020] [Indexed: 12/11/2022]
Affiliation(s)
- Taavi J. K. Kaartinen
- Department of Clinical Pharmacology Faculty of Medicine University of Helsinki and HUS Helsinki University Hospital Helsinki Finland
- Individualized Drug Therapy Research Program Faculty of Medicine University of Helsinki Helsinki Finland
| | - Aleksi Tornio
- Department of Clinical Pharmacology Faculty of Medicine University of Helsinki and HUS Helsinki University Hospital Helsinki Finland
- Individualized Drug Therapy Research Program Faculty of Medicine University of Helsinki Helsinki Finland
- Integrative Physiology and Pharmacology Institute of Biomedicine, University of Turku Turku Finland
- Unit of Clinical Pharmacology Turku University Hospital Turku Finland
| | - Tuija Tapaninen
- Department of Clinical Pharmacology Faculty of Medicine University of Helsinki and HUS Helsinki University Hospital Helsinki Finland
- Individualized Drug Therapy Research Program Faculty of Medicine University of Helsinki Helsinki Finland
| | - Terhi Launiainen
- Department of Clinical Pharmacology Faculty of Medicine University of Helsinki and HUS Helsinki University Hospital Helsinki Finland
| | - Nina Isoherranen
- Department of Pharmaceutics School of Pharmacy University of Washington Seattle Washington USA
| | - Mikko Niemi
- Department of Clinical Pharmacology Faculty of Medicine University of Helsinki and HUS Helsinki University Hospital Helsinki Finland
- Individualized Drug Therapy Research Program Faculty of Medicine University of Helsinki Helsinki Finland
| | - Janne T. Backman
- Department of Clinical Pharmacology Faculty of Medicine University of Helsinki and HUS Helsinki University Hospital Helsinki Finland
- Individualized Drug Therapy Research Program Faculty of Medicine University of Helsinki Helsinki Finland
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Samant TS, Huth F, Umehara K, Schiller H, Dhuria SV, Elmeliegy M, Miller M, Chakraborty A, Heimbach T, He H, Ji Y. Ribociclib Drug‐Drug Interactions: Clinical Evaluations and Physiologically‐Based Pharmacokinetic Modeling to Guide Drug Labeling. Clin Pharmacol Ther 2020; 108:575-585. [DOI: 10.1002/cpt.1950] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2020] [Accepted: 06/01/2020] [Indexed: 12/19/2022]
Affiliation(s)
- Tanay S. Samant
- Novartis Institutes for BioMedical Research East Hanover New Jersey USA
| | - Felix Huth
- Novartis Institutes for BioMedical Research Basel Switzerland
| | | | - Hilmar Schiller
- Novartis Institutes for BioMedical Research Basel Switzerland
| | | | | | - Michelle Miller
- Novartis Pharmaceuticals Corporation East Hanover New Jersey USA
| | | | - Tycho Heimbach
- Novartis Institutes for BioMedical Research East Hanover New Jersey USA
| | - Handan He
- Novartis Institutes for BioMedical Research East Hanover New Jersey USA
| | - Yan Ji
- Novartis Institutes for BioMedical Research East Hanover New Jersey USA
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Akintade DD, Chaudhuri B. Sensing the Generation of Intracellular Free Electrons Using the Inactive Catalytic Subunit of Cytochrome P450s as a Sink. SENSORS 2020; 20:s20144050. [PMID: 32708163 PMCID: PMC7411652 DOI: 10.3390/s20144050] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/02/2020] [Revised: 07/15/2020] [Accepted: 07/16/2020] [Indexed: 11/16/2022]
Abstract
Cytochrome P450 reductase (CPR) abstracts electrons from Nicotinamide adenine dinucleotide phosphate H (NADPH), transferring them to an active Cytochrome P450 (CYP) site to provide a functional CYP. In the present study, a yeast strain was genetically engineered to delete the endogenous CPR gene. A human CYP expressed in a CPR-null (yRD−) strain was inactive. It was queried if Bax—which induces apoptosis in yeast and human cells by generating reactive oxygen species (ROS)—substituted for the absence of CPR. Since Bax-generated ROS stems from an initial release of electrons, is it possible for these released electrons to be captured by an inactive CYP to make it active once again? In this study, yeast cells that did not contain any CPR activity (i.e., because the yeasts’ CPR gene was completely deleted) were used to show that (a) human CYPs produced within CPR-null (yRD-) yeast cells were inactive and (b) low levels of the pro-apoptotic human Bax protein could activate inactive human CYPs within this yeast cells. Surprisingly, Bax activated three inactive CYP proteins, confirming that it could compensate for CPR’s absence within yeast cells. These findings could be useful in research, development of bioassays, bioreactors, biosensors, and disease diagnosis, among others.
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Affiliation(s)
- Damilare D. Akintade
- School of Life Sciences, Medical School, University of Nottingham, Nottingham NG7 2UH, UK
- Leicester School of Pharmacy, De Montfort University, Leicester LE1 9BH, UK;
- Correspondence: ; Tel.: +44-07712452922
| | - Bhabatosh Chaudhuri
- Leicester School of Pharmacy, De Montfort University, Leicester LE1 9BH, UK;
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Kowalski JP, McDonald MG, Pelletier RD, Hanenberg H, Wiek C, Rettie AE. Design and Characterization of the First Selective and Potent Mechanism-Based Inhibitor of Cytochrome P450 4Z1. J Med Chem 2020; 63:4824-4836. [DOI: 10.1021/acs.jmedchem.0c00101] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Affiliation(s)
- John P. Kowalski
- Department of Medicinal Chemistry, School of Pharmacy, University of Washington, Seattle, Washington 98105, United States
| | - Matthew G. McDonald
- Department of Medicinal Chemistry, School of Pharmacy, University of Washington, Seattle, Washington 98105, United States
| | - Robert D. Pelletier
- Department of Medicinal Chemistry, School of Pharmacy, University of Washington, Seattle, Washington 98105, United States
| | - Helmut Hanenberg
- Department of Pediatrics III, University Children’s Hospital Essen, University of Duisburg−Essen, 45122 Essen, Germany
| | - Constanze Wiek
- Department of Otorhinolaryngology and Head/Neck Surgery, Heinrich-Heine University, 40225 Düsseldorf, Germany
| | - Allan E. Rettie
- Department of Medicinal Chemistry, School of Pharmacy, University of Washington, Seattle, Washington 98105, United States
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Ding B, Ji X, Sun X, Zhang T, Mu S. In vitro effect of pachymic acid on the activity of Cytochrome P450 enzymes. Xenobiotica 2020; 50:913-918. [PMID: 32026737 DOI: 10.1080/00498254.2020.1727062] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Pachymic acid is a wildly used traditional Chinese medicine with various pharmacological features. It also exists in many drugs which are wildly used in pediatric.The effect of pachymic acid on the activity of eight major CYP isoforms was investigated in human liver microsomes.The effects of pachymic acid on eight human liver CYP isoforms (i.e. 1A2, 3A4, 2A6, 2E1, 2D6, 2C9, 2C19 and 2C8) were investigated in vitro using human liver microsomes (HLMs), and the enzyme kinetic parameters were calculated.The activity of CP3A4, 2E1, and 2C9 was inhibited by pachymic acid in a concentration-dependent manner with IC50 values of 15.04, 27.95, and 24.22 μM, respectively. Pachymic acid is a non-competitive inhibitor of CYP3A4, with the Ki value of 6.47 μM. While the inhibition of CYP2E1 and 2C9 was performed in a competitive manner, with the Ki value of 11.96 and 10.94 μM, respectively. Moreover, the inhibition of CYP3A4 was in a time-dependent manner with the KI/Kinact value of 7.77/0.048 min-1 μM-1.The in vitro inhibitory effect of pachymic acid on the activity of CYP3A4, 2E1, and 2C9 indicated the potential drug-drug interaction with the drugs that metabolized by CYP3A4, 2E1, and 2C9. Further clinical and in vivo studies are needed to evaluate the significance of this interaction.
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Affiliation(s)
- Baodong Ding
- Department of Pediatrics, Weifang Yidu Central Hospital, Weifang, China
| | - Xiaofei Ji
- Department of Pediatrics, Weifang Yidu Central Hospital, Weifang, China
| | - Xueming Sun
- Department of Pediatrics, Weifang Yidu Central Hospital, Weifang, China
| | - Tongtong Zhang
- Weihai Songshan Community Health Service Center, Weihai, China
| | - Suping Mu
- Department of Pediatrics, Woman and Children's Hospital Of Weifang People's Hospital, Weifang, China
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Yadav J, Paragas E, Korzekwa K, Nagar S. Time-dependent enzyme inactivation: Numerical analyses of in vitro data and prediction of drug-drug interactions. Pharmacol Ther 2020; 206:107449. [PMID: 31836452 PMCID: PMC6995442 DOI: 10.1016/j.pharmthera.2019.107449] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
Cytochrome P450 (CYP) enzyme kinetics often do not conform to Michaelis-Menten assumptions, and time-dependent inactivation (TDI) of CYPs displays complexities such as multiple substrate binding, partial inactivation, quasi-irreversible inactivation, and sequential metabolism. Additionally, in vitro experimental issues such as lipid partitioning, enzyme concentrations, and inactivator depletion can further complicate the parameterization of in vitro TDI. The traditional replot method used to analyze in vitro TDI datasets is unable to handle complexities in CYP kinetics, and numerical approaches using ordinary differential equations of the kinetic schemes offer several advantages. Improvement in the parameterization of CYP in vitro kinetics has the potential to improve prediction of clinical drug-drug interactions (DDIs). This manuscript discusses various complexities in TDI kinetics of CYPs, and numerical approaches to model these complexities. The extrapolation of CYP in vitro TDI parameters to predict in vivo DDIs with static and dynamic modeling is discussed, along with a discussion on current gaps in knowledge and future directions to improve the prediction of DDI with in vitro data for CYP catalyzed drug metabolism.
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Affiliation(s)
- Jaydeep Yadav
- Amgen Inc., 360 Binney Street, Cambridge, MA 02142, United States; Department of Pharmaceutical Sciences, Temple University, Philadelphia, PA 19140, United States
| | - Erickson Paragas
- Department of Pharmaceutical Sciences, Temple University, Philadelphia, PA 19140, United States
| | - Ken Korzekwa
- Department of Pharmaceutical Sciences, Temple University, Philadelphia, PA 19140, United States
| | - Swati Nagar
- Department of Pharmaceutical Sciences, Temple University, Philadelphia, PA 19140, United States.
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48
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Lu C, Di L. In vitro
and
in vivo
methods to assess pharmacokinetic drug– drug interactions in drug discovery and development. Biopharm Drug Dispos 2020; 41:3-31. [DOI: 10.1002/bdd.2212] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2019] [Revised: 09/27/2019] [Accepted: 10/28/2019] [Indexed: 12/11/2022]
Affiliation(s)
- Chuang Lu
- Department of DMPKSanofi Company Waltham MA 02451
| | - Li Di
- Pharmacokinetics, Dynamics and MetabolismPfizer Worldwide Research & Development Groton CT 06340
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Tolledo EC, Miksys S, Gonzalez FJ, Tyndale RF. Propranolol is a mechanism-based inhibitor of CYP2D and CYP2D6 in humanized CYP2D6-transgenic mice: Effects on activity and drug responses. Br J Pharmacol 2020; 177:701-712. [PMID: 31648367 DOI: 10.1111/bph.14884] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2019] [Revised: 08/16/2019] [Accepted: 09/13/2019] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND AND PURPOSE Genetics and drug interactions contribute to large interindividual variation in human CYP2D6 activity. Here, we have characterized propranolol inhibition of human and mouse CYP2D using transgenic (TG) mice, which express both mouse CYP2D and human CYP2D6, and wild-type (WT) mice. Our purpose was to develop a method for in vivo manipulation of CYP2D6 enzyme activity which could be used to investigate the role of CYP2D6 in drug-induced behaviours. EXPERIMENTAL APPROACH Dextromethorphan metabolism to dextrorphan was used to measure CYP2D activity and to characterize propranolol inhibition in vitro and in vivo. Effects of propranolol pretreatment (24 hr) on serum levels of the CYP2D6 substrate haloperidol and haloperidol-induced catalepsy were also studied. KEY RESULTS Dextrorphan formation velocity in vitro was threefold higher in liver microsomes of TG compared to WT mice. Propranolol acted as a mechanism-based inhibitor (MBI), inactivating CYP2D in liver microsomes from TG and WT mice, and humans. Pretreatment (24 hr) of TG and WT mice with 20 mg·kg-1 intraperitoneal propranolol reduced dextrorphan formation in vivo and by liver microsomes in vitro. Serum haloperidol levels and catalepsy were increased. CONCLUSIONS AND IMPLICATIONS Propranolol was a potent MBI of dextrorphan formation in liver microsomes from TG and WT mice, and humans. The inhibition parameters in TG overlapped with those in WT mice and in humans. Inhibition of CYP2D with propranolol in vivo in TG and WT mice altered drug responses, allowing further investigation of variations in CYP2D6 on drug interactions and drug responses.
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Affiliation(s)
- Edgor Cole Tolledo
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health (CAMH), Department of Pharmacology & Toxicology, Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
| | - Sharon Miksys
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health (CAMH), Department of Pharmacology & Toxicology, Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
| | - Frank J Gonzalez
- Laboratory of Metabolism, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Rachel F Tyndale
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health (CAMH), Department of Pharmacology & Toxicology, Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
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50
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Charman SA, Andreu A, Barker H, Blundell S, Campbell A, Campbell M, Chen G, Chiu FCK, Crighton E, Katneni K, Morizzi J, Patil R, Pham T, Ryan E, Saunders J, Shackleford DM, White KL, Almond L, Dickins M, Smith DA, Moehrle JJ, Burrows JN, Abla N. An in vitro toolbox to accelerate anti-malarial drug discovery and development. Malar J 2020; 19:1. [PMID: 31898492 PMCID: PMC6941357 DOI: 10.1186/s12936-019-3075-5] [Citation(s) in RCA: 76] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2019] [Accepted: 12/14/2019] [Indexed: 01/08/2023] Open
Abstract
Background Modelling and simulation are being increasingly utilized to support the discovery and development of new anti-malarial drugs. These approaches require reliable in vitro data for physicochemical properties, permeability, binding, intrinsic clearance and cytochrome P450 inhibition. This work was conducted to generate an in vitro data toolbox using standardized methods for a set of 45 anti-malarial drugs and to assess changes in physicochemical properties in relation to changing target product and candidate profiles. Methods Ionization constants were determined by potentiometric titration and partition coefficients were measured using a shake-flask method. Solubility was assessed in biorelevant media and permeability coefficients and efflux ratios were determined using Caco-2 cell monolayers. Binding to plasma and media proteins was measured using either ultracentrifugation or rapid equilibrium dialysis. Metabolic stability and cytochrome P450 inhibition were assessed using human liver microsomes. Sample analysis was conducted by LC–MS/MS. Results Both solubility and fraction unbound decreased, and permeability and unbound intrinsic clearance increased, with increasing Log D7.4. In general, development compounds were somewhat more lipophilic than legacy drugs. For many compounds, permeability and protein binding were challenging to assess and both required the use of experimental conditions that minimized the impact of non-specific binding. Intrinsic clearance in human liver microsomes was varied across the data set and several compounds exhibited no measurable substrate loss under the conditions used. Inhibition of cytochrome P450 enzymes was minimal for most compounds. Conclusions This is the first data set to describe in vitro properties for 45 legacy and development anti-malarial drugs. The studies identified several practical methodological issues common to many of the more lipophilic compounds and highlighted areas which require more work to customize experimental conditions for compounds being designed to meet the new target product profiles. The dataset will be a valuable tool for malaria researchers aiming to develop PBPK models for the prediction of human PK properties and/or drug–drug interactions. Furthermore, generation of this comprehensive data set within a single laboratory allows direct comparison of properties across a large dataset and evaluation of changing property trends that have occurred over time with changing target product and candidate profiles.
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Affiliation(s)
- Susan A Charman
- Centre for Drug Candidate Optimisation, Monash Institute of Pharmaceutical Sciences, Monash University, 381 Royal Parade, Parkville, VIC, 3052, Australia.
| | - Alice Andreu
- Centre for Drug Candidate Optimisation, Monash Institute of Pharmaceutical Sciences, Monash University, 381 Royal Parade, Parkville, VIC, 3052, Australia
| | - Helena Barker
- Centre for Drug Candidate Optimisation, Monash Institute of Pharmaceutical Sciences, Monash University, 381 Royal Parade, Parkville, VIC, 3052, Australia
| | - Scott Blundell
- Centre for Drug Candidate Optimisation, Monash Institute of Pharmaceutical Sciences, Monash University, 381 Royal Parade, Parkville, VIC, 3052, Australia
| | - Anna Campbell
- Centre for Drug Candidate Optimisation, Monash Institute of Pharmaceutical Sciences, Monash University, 381 Royal Parade, Parkville, VIC, 3052, Australia
| | - Michael Campbell
- Centre for Drug Candidate Optimisation, Monash Institute of Pharmaceutical Sciences, Monash University, 381 Royal Parade, Parkville, VIC, 3052, Australia
| | - Gong Chen
- Centre for Drug Candidate Optimisation, Monash Institute of Pharmaceutical Sciences, Monash University, 381 Royal Parade, Parkville, VIC, 3052, Australia
| | - Francis C K Chiu
- Centre for Drug Candidate Optimisation, Monash Institute of Pharmaceutical Sciences, Monash University, 381 Royal Parade, Parkville, VIC, 3052, Australia
| | - Elly Crighton
- Centre for Drug Candidate Optimisation, Monash Institute of Pharmaceutical Sciences, Monash University, 381 Royal Parade, Parkville, VIC, 3052, Australia
| | - Kasiram Katneni
- Centre for Drug Candidate Optimisation, Monash Institute of Pharmaceutical Sciences, Monash University, 381 Royal Parade, Parkville, VIC, 3052, Australia
| | - Julia Morizzi
- Centre for Drug Candidate Optimisation, Monash Institute of Pharmaceutical Sciences, Monash University, 381 Royal Parade, Parkville, VIC, 3052, Australia
| | - Rahul Patil
- Centre for Drug Candidate Optimisation, Monash Institute of Pharmaceutical Sciences, Monash University, 381 Royal Parade, Parkville, VIC, 3052, Australia
| | - Thao Pham
- Centre for Drug Candidate Optimisation, Monash Institute of Pharmaceutical Sciences, Monash University, 381 Royal Parade, Parkville, VIC, 3052, Australia
| | - Eileen Ryan
- Centre for Drug Candidate Optimisation, Monash Institute of Pharmaceutical Sciences, Monash University, 381 Royal Parade, Parkville, VIC, 3052, Australia
| | - Jessica Saunders
- Centre for Drug Candidate Optimisation, Monash Institute of Pharmaceutical Sciences, Monash University, 381 Royal Parade, Parkville, VIC, 3052, Australia
| | - David M Shackleford
- Centre for Drug Candidate Optimisation, Monash Institute of Pharmaceutical Sciences, Monash University, 381 Royal Parade, Parkville, VIC, 3052, Australia
| | - Karen L White
- Centre for Drug Candidate Optimisation, Monash Institute of Pharmaceutical Sciences, Monash University, 381 Royal Parade, Parkville, VIC, 3052, Australia
| | - Lisa Almond
- Certara UK Limited, Simcyp Division, Level 2-Acero, 1 Concourse Way, Sheffield, S1 2BJ, UK
| | - Maurice Dickins
- Certara UK Limited, Simcyp Division, Level 2-Acero, 1 Concourse Way, Sheffield, S1 2BJ, UK
| | | | - Joerg J Moehrle
- Medicines for Malaria Venture, PO Box 1826, 20 Route de Pré-Bois, CH-1215, Geneva 15, Switzerland
| | - Jeremy N Burrows
- Medicines for Malaria Venture, PO Box 1826, 20 Route de Pré-Bois, CH-1215, Geneva 15, Switzerland
| | - Nada Abla
- Medicines for Malaria Venture, PO Box 1826, 20 Route de Pré-Bois, CH-1215, Geneva 15, Switzerland
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