Evaluation of a New Molecular Entity as a Victim of Metabolic Drug-Drug Interactions-an Industry Perspective.

Under the guidance of the International Consortium for Innovation and Quality in Pharmaceutical Development (IQ), scientists from 20 pharmaceutical companies formed a Victim Drug-Drug Interactions Working Group. This working group has conducted a review of the literature and the practices of each company on the approaches to clearance pathway identification (fCL), estimation of fractional contribution of metabolizing enzyme toward metabolism (fm), along with modeling and simulation-aided strategy in predicting the victim drug-drug interaction (DDI) liability due to modulation of drug metabolizing enzymes. Presented in this perspective are the recommendations from this working group on: 1) strategic and experimental approaches to identify fCL and fm, 2) whether those assessments may be quantitative for certain enzymes (e.g., cytochrome P450, P450, and limited uridine diphosphoglucuronosyltransferase, UGT enzymes) or qualitative (for most of other drug metabolism enzymes), and the impact due to the lack of quantitative information on the latter. Multiple decision trees are presented with stepwise approaches to identify specific enzymes that are involved in the metabolism of a given drug and to aid the prediction and risk assessment of drug as a victim in DDI. Modeling and simulation approaches are also discussed to better predict DDI risk in humans. Variability and parameter sensitivity analysis were emphasized when applying modeling and simulation to capture the differences within the population used and to characterize the parameters that have the most influence on the prediction outcome.

Machine Learning guided early drug discovery of small molecules.

Machine learning (ML) approaches have been widely adopted within the early stages of the drug discovery process, particularly within the context of small-molecule drug candidates. Despite this, the use of ML is still limited in the pharmacokinetic/pharmacodynamic (PK/PD) application space. Here, we describe recent progress and the role of ML used in preclinical drug discovery. We summarize the advances and current strategies used to predict ADME (absorption, distribution, metabolism and, excretion) properties of small molecules based on their structures, and predict structures based on the desired properties for molecular screening and optimization. Finally, we discuss the use of ML to predict PK to rank the ability of drug candidates to achieve appropriate exposures and hence provide important insights into safety and efficacy.

2020 FDA Drug-drug Interaction Guidance: A Comparison Analysis and Action Plan by Pharmaceutical Industrial Scientists.

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.

Simultaneous determination of triamcinolone acetonide and oxymetazoline hydrochloride in nasal spray formulations by HPLC.

A high-performance liquid chromatography (HPLC) method with UV detection at 232 nm was developed and validated for the simultaneous determination of triamcinolone acetonide (TAA) and oxymetazoline hydrochloride (OXY) in nasal spray formulations. The chromatographic system consisted of a micro Bondapak CN column (150 mm x 3.9 mm), 5 microm particle size with a mobile phase composition of acetonitrile:ammonium acetate (pH 5.0, 20mM) (10:90, v/v) at a flow rate of 1.0 mL/min. Calibration curves were linear for both TAA and OXY in the concentration range of 2.5-25.0 microg/mL. The limit of detection and quantitation were 0.29 and 0.88 microg/mL for OXY and 0.24 and 0.73 microg/mL for TAA. The described method was further applied to the analysis and stability studies of two nasal spray formulations I and II prepared from TAA and OXY commercial nasal spray products. The stability of OXY and TAA in the commercial products and the nasal formulations I and II were analyzed after 30 days at room temperature and 30 days at 40 degrees C/60% relative humidity. The results of the stability study showed that OXY and TAA in the commercial nasal spray products and the nasal formulations I and II were stable at 20-25 degrees C (room temperature) but TAA was unstable at 40 degrees C/60% relative humidity. TAA exhibited more than 10% loss at 14 days in both the nasal formulations and in the commercial products. OXY showed increased degradation at 40 degrees C/60% relative humidity but <10%.

Determination of 1,25-dihydroxyvitamin D2 in rat serum using liquid chromatography with tandem mass spectrometry.

Vitamin D therapy is widely used for the treatment of hyperparathyroidism associated with chronic renal failure in renal disease patients. The vitamin D prodrug, 1α-hydroxyvitamin D(2) (1α(OH)D(2)), is used for the treatment of the end stage renal disease patients who as a result of impaired kidney function cannot convert the naturally occurring vitamin D to the active hormonal form namely 1,25-dihydroxyvitamin D(2) (1,25(OH)(2)D(2)). The systemic circulating levels of this active form are in the pg/mL range and represent a significant bioanalytical challenge for therapeutic monitoring. Liquid chromatography with tandem mass spectrometry (LC-MS/MS) is considered the gold standard for the selective and sensitive determination of small molecule therapeutics in biological matrices. However, the reported LC-MS/MS bioanalytical assays for 1,25(OH)(2)D(2) suffer from extensive sample preparation procedures or derivatization protocols to achieve the requisite sensitivity and selectivity. In this paper, we describe an assay that employs 96-well plate solid phase extraction sample preparation combined with highly sensitive LC-MS/MS instrumentation. The utility of ultra high pressure liquid chromatography to reduce the analytical run time was also demonstrated. Employing this assay a lower limit of quantitation of 25.0 pg/mL using 300 µL sample aliquot of rat serum was achieved with linearity obtained over the range of 25.0-1000 pg/mL. Both intra-day and inter-day coefficients of variation were <15% and accuracy across the assay range was within 100±7.24%. The application of the assay was demonstrated for the analysis of 1,25(OH)(2)D(2) rat serum samples to support pharmacokinetic studies conducted at doses down to sub-microgram per kilogram of 1α(OH)D(2).

Evaluation of 3-O-methylfluorescein as a selective fluorometric substrate for CYP2C19 in human liver microsomes.

Cytochrome P450 (P450) fluorometric high-throughput inhibition assays have been widely used for drug-drug interaction screening particularly at the preclinical drug discovery stages. Many fluorometric substrates have been investigated for their selectivity, but most are found to be catalyzed by multiple P450 isozymes, limiting their utility. In this study, 3-O-methylfluorescein (OMF) was examined as a selective fluorescence substrate for CYP2C19 in human liver microsomes (HLMs). The kinetic studies of OMF O-demethylation in HLMs using a liquid chromatography/mass spectrometry method exhibited two-enzyme kinetics with apparent K(m) and V(max) values of 1.14 +/- 0.90 microM and 11.3 +/- 4.6 pmol/mg/min, respectively, for the high affinity component(s) and 57.0 +/- 6.4 microM and 258 +/- 6 pmol/mg/min, respectively, for the low affinity component(s). Studies utilizing cDNA-expressed individual P450 isoforms and P450-selective chemical inhibitors showed that OMF O-demethylation to fluorescein was selective for CYP2C19 at substrate concentrations < or =1 microM. At substrate concentrations > or =10 microM, other P450 isozymes were found to catalyze OMF O-demethylation. In HLMs, analysis of the two-enzyme kinetics in the presence of P450 isozyme-selective chemical inhibitors (ticlopidine for CYP2C19, sulfaphenazole for CYP2C9, and furafylline for CYP1A2) indicated that CYP2C19 was the high affinity component and CYP2C9 was the low affinity component. Based on these findings, a fluorometric assay was developed using 1 microM OMF and 2 microM sulfaphenazole for probing CYP2C19-mediated inhibition in HLMs. The IC(50) data of 13 substrates obtained from the fluorometric assay developed in this study correlated well with that reported in the literature using nonfluorescence assays.