Pharmacokinetics and Safety of Firsocostat, an Acetyl-Coenzyme A Carboxylase Inhibitor, in Participants with Mild, Moderate, and Severe Hepatic Impairment.

Firsocostat is an oral, liver-targeted inhibitor of acetyl-coenzyme A carboxylase in development for the treatment of metabolic dysfunction-associated steatohepatitis. Hepatic organic anion transporting polypeptides play a significant role in the disposition of firsocostat with minimal contributions from uridine diphospho-glucuronosyltransferase and cytochrome P450 3A enzymes. This phase 1 study evaluated the pharmacokinetics and safety of firsocostat in participants with mild, moderate, or severe hepatic impairment. Participants with stable mild, moderate, or severe hepatic impairment (Child-Pugh A, B, or C, respectively [n = 10 per cohort]) and healthy matched controls with normal hepatic function (n = 10 per cohort) received a single oral dose of firsocostat (20 mg for mild and moderate hepatic impairment; 5 mg for severe hepatic impairment) with intensive pharmacokinetic sampling over 96 h. Safety was monitored throughout the study. Firsocostat plasma exposure (AUCinf) was 83%, 8.7-fold, and 30-fold higher in participants with mild, moderate, and severe hepatic impairment, respectively, relative to matched controls. Firsocostat was generally well tolerated, and all reported adverse events were mild in nature. Dose adjustment is not necessary for the administration of firsocostat in patients with mild hepatic impairment. However, based on the observed increases in firsocostat exposure, dose adjustment should be considered for patients with moderate or severe hepatic impairment, and additional safety and efficacy data from future clinical trials will further inform dose adjustment.

Feasibility of Using Population Pharmacokinetics-Based Virtual Control Groups in Organ Impairment Studies.

This work aimed to assess the feasibility of using population pharmacokinetics (popPK) to generate virtual healthy control groups in organ impairment studies. Data from 11 organ impairment studies containing 18 organ impairment arms and 13 healthy control groups across 7 drugs were analyzed. Area under the concentration-time curve (AUC) and maximum concentration (Cmax) were calculated from popPK-simulated individual concentration-time profiles for participants in the healthy control groups, accounting for the participant's specific covariate(s) (N = 1000 replicates). The AUC and Cmax geometric mean ratios (GMRs; simulated healthy control/observed healthy control and observed organ impairment/simulated healthy control) were calculated. The simulated healthy control group geometric mean exposures were within 30% of the observed geometric mean exposures in 8 of the 11 studies (73%). The number of organ impairment arms for which the observed GMR (observed organ impairment/observed healthy control) and median of simulation-based GMRs (observed organ impairment/simulated healthy control) for AUC and Cmax being within the same fold change were 12 (67%) and 13 (72%) arms, respectively. The number of organ impairment arms for which the median of simulation-based AUC and Cmax GMRs were within the 90% confidence interval of the observed GMRs were 14 (72%) and 15 (83%), respectively. Poor concordance was observed for 1 drug (3 arms), where healthy participants' data were not incorporated in the popPK model. This work supports using popPK-based virtual control groups in organ impairment studies. Subsequent work should aim to establish best practices for constructing popPK-based virtual control groups.

Evaluation of the Effects of Meal Type and Acid-Reducing Agents on the Pharmacokinetics of Cilofexor, a Selective Nonsteroidal Farnesoid X Receptor Agonist.

Cilofexor is a nonsteroidal farnesoid X receptor agonist being developed in combination with firsocostat/semaglutide for the treatment of nonalcoholic steatohepatitis. This phase 1 study evaluated the effects of food and acid-reducing agents (ARAs) on the pharmacokinetics of cilofexor (100- or 30-mg fixed-dose combination with firsocostat) in healthy participants. Cohorts 1 (n = 20, 100 mg) and 2 (n = 30, 30 mg) followed a 3-period, 2-sequence crossover design and evaluated effects of light-fat and high-fat meals. Cohort 3 (n = 30, 100 mg fasting) followed a 2-period, 2-sequence crossover design and evaluated the effects of a 40-mg single dose of famotidine. Cohort 4 (n = 18, 100 mg) followed a 3-period, 2-sequence crossover design and evaluated the effects of a 40-mg once-daily regimen of omeprazole administered under fasting conditions or following a light-fat meal. Administration with light-fat or high-fat meals resulted in no change and an ∼35% reduction in cilofexor AUC, respectively, relative to the fasting conditions. Under fasting conditions, famotidine increased cilofexor AUC by 3.2-fold and Cmax by 6.1-fold, while omeprazole increased cilofexor AUC by 3.1-fold and Cmax by 4.8-fold. With a low-fat meal, omeprazole increased cilofexor exposure to a lesser extent (Cmax 2.5-fold, AUC 2.1-fold) than fasting conditions. This study suggests that caution should be exercised when cilofexor is administered with ARAs under fed conditions; coadministration of cilofexor (100 or 30 mg) with ARAs under fasting conditions is not recommended with the current clinical trial formulations.

Characterization of the US Food and Drug Administration Post-Marketing Commitments and Requirements for Pregnancy and Lactation.

Enactment of the US Food and Drug Administration Amendments Act (FDAAA) in 2007 and the Pregnancy and Lactation Labeling Rule (PLLR) in 2015 are important milestones giving the FDA the authority to request studies in pregnant and lactating women. Our objective was to characterize trends of pregnancy and lactation-related postmarketing commitments (PMCs) and postmarketing requirements (PMRs) for new molecular entities approved by the FDA between 2000 and 2022. Approval letters of original New Drug Applications (NDAs, N = 488) for new molecular entities were obtained from the FDA website. NDAs with pregnancy and lactation-based PMCs/PMRs were identified, and data extracted. Data included: PMC/PMR timelines and attributes of requested study(ies) (type, design elements, and outcomes) when available. Fifty-nine NDAs included 92 PMCs/PMRs related to pregnancy and lactation. Forty-one NDAs had pregnancy-related PMRs/PMCs, 4 had lactation-related PMRs, and 14 had both. Most PMRs/PMCs were for nervous system medications (N = 33). Forty-seven NDAs specified safety data collection in infants in at least the first year of life. All pregnancy-related PMRs were issued after 2008, most PMCs (N = 8) were issued before 2008. Only one PMC requested a pharmacokinetic study in pregnant women. All lactation-related PMRs (N = 18) requested measurement of drug concentrations in breast milk with one also requiring measurement of maternal blood concentrations. Eighty-nine percent of lactation-related PMRs were requested after 2015. There was a steady increase in pregnancy and lactation-related PMRs following enactment of FDAAA and PLLR. Additions involved information collection pertaining to safety of the medication in pregnant and lactating women and children exposed to medications during pregnancy and breastfeeding.

Model-Informed Approaches and Innovative Clinical Trial Design for Adeno-Associated Viral Vector-Based Gene Therapy Product Development: A White Paper.

The promise of viral vector-based gene therapy (GT) as a transformative paradigm for treating severely debilitating and life-threatening diseases is slowly coming to fruition with the recent approval of several drug products. However, they have a unique mechanism of action often necessitating a tortuous clinical development plan. Expertise in such complex therapeutic modality is still fairly limited in this emerging class of adeno-associated virus (AAV) vector-based gene therapies. Because of the irreversible mode of action and incomplete understanding of genotype-phenotype relationship and disease progression in rare diseases careful considerations should be given to GT product's benefit-risk profile. In particular, special attention needs to be paid to safe dose selection, reliable dose exposure response (including clinically relevant endpoints), or creative approaches in study design targeting small patient populations during clinical development. We believe that quantitative tools encompassed within model-informed drug development (MIDD) framework fits quite well in the development of such novel therapies, as they enable us to benefit from the totality of data approach in order to support dose selection as well as optimize clinical trial designs, end point selection, and patient enrichment. In this thought leadership paper, we provide our collective experiences, identify challenges, and suggest areas of improvement in applications of modeling and innovative trial design in development of AAV-based GT products and reflect on the challenges and opportunities for incorporating MIDD tools and more in rational development of these products.

Effect of Hepatic Impairment on the Pharmacokinetics and Pharmacodynamics of Cilofexor, a Selective Nonsteroidal Farnesoid X Receptor Agonist.

Cilofexor is a nonsteroidal farnesoid X receptor agonist in clinical development for treatment of nonalcoholic steatohepatitis. This work characterized the pharmacokinetics, pharmacodynamics, safety, and tolerability of cilofexor in participants with normal hepatic function or hepatic impairment (HI). Participants with stable mild, moderate, or severe HI (Child-Pugh [CP] A, B, or C, respectively, [n = 10/group]) and healthy matched controls with normal hepatic function received a single oral dose of cilofexor (30 mg for CP-A or B; 10 mg for CP-C) with a standardized meal. Overall, 56 participants received cilofexor and completed the study. Cilofexor area under the plasma concentration-time curve was 76%, 2.5-fold, and 6.3-fold higher in participants with mild, moderate, or severe HI, respectively, relative to the area under the plasma concentration-time curve in matched participants with normal hepatic function. Cilofexor unbound fraction was 38%, 2-fold, and 3.16-fold higher in participants with mild, moderate, and severe HI, respectively, relative to participants with normal hepatic function. Moderate correlations were identified between cilofexor exposure and CP score or laboratory tests components of CP score. Serum 7α-hydroxy-4-cholesten-3-one and plasma fibroblast growth factor 19 were similar in participants with mild, moderate, or severe HI and participants with normal hepatic function. Cilofexor was generally well tolerated; all cilofexor-related adverse events were mild in severity. Cilofexor can be administered to patients with mild HI without dose adjustment. Caution and dose modification are warranted when administering cilofexor to patients with moderate or severe HI.

Effect of Renal Impairment on the Pharmacokinetics of Firsocostat, an Acetyl-Coenzyme A Carboxylase Inhibitor, and Cilofexor, a Selective Nonsteroidal Farnesoid X Receptor Agonist.

Firsocostat, a liver-targeted acetyl-coenzyme A carboxylase inhibitor, and cilofexor, a nonsteroidal farnesoid X receptor agonist, are being developed in combination for treatment of nonalcoholic steatohepatitis. This phase 1 study evaluated firsocostat and cilofexor pharmacokinetics and tolerability in participants with severe renal impairment (SRI) and healthy matched controls (HMCs). Ten participants with SRI (estimated glomerular filtration rate by Modification of Diet in Renal Disease <30 mL/min/1.73 m2 ), and 10 HMCs received single oral doses of firsocostat (20 mg) on day 1 and cilofexor (100 mg) on day 7 in a fasted state. Plasma concentrations of firsocostat (and nonactive metabolite GS-834773) and cilofexor (and nonactive metabolites GS-716070 and GS-1056756) were collected over 96 hours and quantified; plasma exposures (area under the concentration-time curve [AUC] and peak concentration [Cmax ]) and plasma protein binding were characterized. Firsocostat AUC was ≈40% higher in SRI versus HMC, while Cmax was 8% lower. Observed exposures of the firsocostat metabolite were ≈4.6-fold higher in SRI participants versus HMC. Exposures (AUC and Cmax ) of cilofexor and metabolites and percentages of protein binding of all analytes were similar between SRI and HMC groups. Treatment-emergent adverse events were generally mild and not considered related to study drug. A <50% increase in firsocostat exposure was observed among SRI participants but was deemed not clinically relevant. There was no apparent effect of SRI on cilofexor exposure. Based on this trial, firsocostat and cilofexor dosing are not expected to require modification in patients who are renally impaired.

Pharmacokinetics, pharmacodynamics, safety and tolerability of cilofexor, a novel nonsteroidal Farnesoid X receptor agonist, in healthy volunteers.

Cilofexor is a nonsteroidal farnesoid X receptor (FXR) agonist being evaluated for treatment of nonalcoholic steatohepatitis (NASH) and primary sclerosing cholangitis (PSC). This work characterized the pharmacokinetics, pharmacodynamic, safety, and tolerability of cilofexor in healthy participants. Cilofexor single and multiple once-daily doses (10 to 300 mg fasting or fed and twice-daily doses [15 and 50 mg; fed]; tablet formulation) were evaluated. In each cohort, participants were randomized to active drug or placebo in a 4:1 ratio (planned n = 15/cohort). Multiple dosing was for 14 days. Pharmacokinetic and pharmacodynamic samples were collected and safety and tolerability were assessed. Overall, 120 participants were enrolled in the study and 118 participants received at least one dose of study drug. Cilofexor pharmacokinetics followed bi-exponential disposition and its exposure increased in a less-than-dose-proportional manner over the 10 to 300 mg dose range, with no significant accumulation with repeated dosing. Moderate-fat meal reduced cilofexor area under the plasma concentration versus time curve (AUC) by 21% to 45%. Cilofexor increased plasma levels of fibroblast growth factor19 (FGF19) and reduced the serum bile acid intermediate 7α-hydroxy-4-cholesten-3-one (C4) and bile acids in an exposure-dependent manner. Cilofexor doses >30 mg appeared to achieve the plateau of intestinal FXR activation. Cilofexor was generally well tolerated; all treatment-emergent adverse events (TEAEs) were mild or moderate in severity, with headache being the most frequently observed TEAE. The pharmacokinetics pharmacodynamic safety, and tolerability results from this study supported further evaluations, and informed dose selection, of cilofexor in phase II studies in patients with NASH and PSC.

Overview of Clinical Pharmacology Packages of New Drug Applications Approved for the Treatment of Rare Diseases.

There are more than 7000 rare diseases affecting approximately 30 million people in the United States. More than 90% of these diseases lack approved therapies. Several challenges face the development of "orphan drugs", such as the small populations of patients, high development costs, and long development timelines. This study evaluates clinical pharmacology assessments conducted during the development of drugs to treat rare diseases approved by the United States Food and Drug Administration in 2020 and 2021. Thirty-nine new drug applications (NDAs) have been identified and the associated regulatory reviews, approved labels, and approval letters were reviewed. Approximately, 95%, 74%, and 77% of these submissions contained at least one type of drug-drug interaction, the effect of organ impairment (hepatic and renal) on drug exposure, and QT liability assessment, respectively. Modeling and simulation approaches were utilized to address many clinical pharmacology questions, with population pharmacokinetic analyses used extensively in the evaluation of the effect of organ impairment on drug exposure and with physiologically based pharmacokinetic analyses used mainly in assessing drug interaction risks. In general, the clinical pharmacology packages in the NDAs of orphan drugs are not optimal and more work is needed to obtain a complete clinical pharmacology package at the time of initial approval to ensure the safe and effective use of these drugs across the spectrum of the target patient population. This study provides insights into the clinical pharmacology studies needed for drugs to treat rare diseases and would help both the regulators and drug developers to identify challenges and opportunities in conducting clinical pharmacology assessments for drugs developed to treat rare diseases.

Evaluation of US Food and Drug Administration Drug Label Recommendations for Coadministration of Antivirals and Acid-Reducing Agents.

Coadministration with acid-reducing agents (ARAs), including proton pump inhibitors (PPIs), histamine H2 -receptor antagonists (H2 blockers), and antacids has been demonstrated to reduce antiviral exposure and efficacy. Therefore, it is essential that US Food and Drug Administration (FDA) drug labels include recommendations to manage these drug-drug interactions (DDIs). This investigation analyzed information in FDA drug labels to manage DDIs between ARAs and antivirals approved from 1998 to 2019. To ascertain clinical adoption, we assessed whether FDA label recommendations were incorporated into current antiviral clinical practice guidelines. We identified 82 label recommendations for 43 antiviral approvals. Overall, 56.1% of recommendations were deemed clinically actionable, with the most common actionable management strategies being dose adjustment during coadministration (40.2%) and coadministration not recommended (9.8%). The sources informing DDI recommendations were clinical DDI studies (59.8%) and predictions of altered exposure (40.2%). Antivirals with low aqueous solubility were more likely to have label recommendations and were more commonly investigated using clinical DDI studies (P < 0.01). For recommendations informed by clinical DDI studies, changes in drug exposure were associated with actionable label recommendations (P < 0.01). The frequency of exposure changes in clinical DDI studies was similar across antiviral indications, but exposure changes were numerically higher for antacids (71.4%) relative to PPIs (42.9%) and H2 blockers (28.6%). Of DDI pairs identified within drug labels, 76.8% were included in guidelines, and recommended management strategies were concordant in 90.5% of cases. Our findings demonstrate that current regulatory oversight mostly (but not completely) results in actionable label recommendations to manage DDIs for high-risk antivirals.

Trends in FDA Transporter-Based Post-Marketing Requirements and Commitments Over the Last Decade.

Characterizing interactions between new molecular entities (NMEs) and drug transporters is a critical element of drug development that helps in assessing potential transporter-based drug-drug interactions (DDIs). However, not all NME new drug applications (NDAs) include a full characterization of NMEs transporter-based DDIs, which necessitates the issuance of post-marketing requirement (PMR)/post-marketing commitment (PMC) by the US Food and Drug Administration (FDA) to characterize these potential interactions. The objective of this analysis is to identify trends in transporter-based PMRs/PMCs issued by the FDA between 2012 and 2021. A decrease in the number of transporter-based PMRs/PMCs was observed from 2012 to 2016 and an increasing trend in the number of PMRs/PMCs was observed after 2017. The majority of these transporter-based PMRs/PMCs requested clinical evaluation (48%), some requested in vitro assessment (38%), and 2.5% requested modeling and simulation assessment. Most of the PMRs/PMCs requested evaluation of NMEs as perpetrator with the efflux transporters, P-gp and/or BCRP (53%). Forty-eight percent of the PMRs/PMCs were fulfilled with 67% resulted in labeling updates. On average, 2.5 years were needed for the information related to PMRs/PMCs to show in NMEs labeling. In conclusion, this analysis highlights the increased emphasis from the FDA on proper characterization of transporter-based DDI and call for the need of early characterization of NMEs-transporters interaction before initial NDA approval.

Concordance of Exposure Changes Because of Renal Impairment Between Results of Dedicated Renal Impairment Studies and Population Pharmacokinetic Predictions.

This analysis compared the results from noncompartmental analysis and population pharmacokinetic (PopPK) predictions of exposure changes in patients with renal impairment (RI) for 27 new molecular entities (NMEs) approved between 2000 and 2015. Renal function was identified as a covariate in the final PopPK model for 17 NMEs. The final PopPK model was used to simulate (n = 1000 replicates/individual) the results of a dedicated PK study in subjects with renal impairment. For the majority of NMEs, concordance between observed, and predicted area under the curve (AUC) geometric mean ratio (GMR) was observed (ie, in 17, 11, and 11 NMEs for mild, moderate, and severe renal impairment groups, respectively, the observed and predicted AUC GMR were within the same fold of change). Inclusion of colinear covariates in the PopPK model appeared to be the major driver for the NMEs for which there was discordance. PopPK, when done properly, is a valuable tool for supporting labeling recommendations for subjects with renal impairment.

Association of End Point Definition and Randomized Clinical Trial Duration in Clinical Trials of Schizophrenia Medications.

Importance: Facilitating the development of safe and effective medications for schizophrenia is a public health imperative. Objectives: To evaluate the association of shortening randomized clinical trial (RCT) duration with the modification of the Positive and Negative Syndrome Scale (PANSS) for the design of RCTs of medications for schizophrenia and to offer perspective on an alternative regulatory pathway to the historically accepted trial duration and response assessment. Data Sources: A database was created consisting of clinical trial data from 32 placebo-controlled RCTs of 8 atypical antipsychotic drugs approved by the US Food and Drug Administration (FDA) between January 1, 2001, and December 31, 2015. The database included information on total and individual PANSS item ratings, demographic characteristics, disposition, and adverse events (AEs). Study Selection: All clinical trials submitted to 8 new drug applications of atypical antipsychotic drugs were selected. Data Extraction and Synthesis: Quality control checks were performed to ensure that the collected data were consistent with the reported results of each trial. Data were collected from March 15, 2015, to September 30, 2015. Data analysis was conducted from October 1, 2015, to June 20, 2016. Main Outcomes and Measures: The following analyses were performed: (1) longitudinal assessment of mean change from baseline in total PANSS score, (2) correlation analyses between change from baseline in total PANSS score at week 6 and earlier time points, (3) concordance analyses of outcomes across trials between week 6 and earlier time points using total PANSS and modified PANSS, and (4) analyses of time course of treatment-emergent AEs. Results: The final database contained data from 14 219 participants enrolled in 32 drug trials; 9805 of 14 219 participants (69.0%) were male and were either white (7183 [50.5%]) or black (4346 [30.6%]) individuals. The mean (SD) age during treatment was 38.9 (10.9) years, and the mean (SD) age at schizophrenia diagnosis was 25 (8.5) years. Statistically significant separation between treatment response and placebo response was observed after 1 week of treatment. The overall concordance rate across treatment groups steadily increased from week 1 to week 4 (68.0% for week 1, 74.0% for week 2, 83.0% for week 3, and 93.0% for week 4). Trends in AE occurrence were evident by week 1 and percentage of AEs were similar across weeks 3, 4, and 6. The overall concordance rate between change from baseline in the modified PANSS score and change from baseline in the total PANSS score was 93.0% (80 of 86 treatment groups) at week 4 and 97.7% (84 of 86 treatment groups) at week 6. Shortening the trial duration to 4 weeks increased the required sample size to 502 participants. Using the modified PANSS as the end point, the sample size for a 4-week trial was 402 participants and 296 participants for a 6-week trial. Conclusions and Relevance: Findings from this analysis suggest that there is the potential to streamline the design of schizophrenia drug clinical trials. Trial sponsors may consider incorporating these strategies and are encouraged to consult with the FDA early in the drug development process.

Drug-Drug Interaction Studies of Methadone and Antiviral Drugs: Lessons Learned.

Different views appear in the literature on the extent of specific cytochrome P450 (CYP) involvement in methadone metabolism. The aim of this work is to leverage knowledge from drug-drug interaction (DDI) studies in new drug applications between methadone and antiviral medications to better understand methadone disposition and to inform design of future DDI studies with methadone. A database of DDI studies between all FDA-approved human immunodeficiency virus and hepatitis C virus medications and methadone was constructed. The database contains data from 29 DDI studies. Sixteen of the 29 studies had statistically significant changes in methadone area under the concentration-time curve. Methadone exposure was either decreased or unchanged when it was coadministered with weak to strong CYP3A inhibitors or a moderate CYP3A4 inducer. Methadone exposure was reduced when it was coadministered with CYP2B6 inducers. The role of other enzymes (CYP2C9, CYP2C19, and CYP2D6) cannot be fully elucidated from these studies. In conclusion, CYP2B6 plays a prominent role in methadone metabolism, although methadone exposure is not sensitive to CYP3A perturbation. In designing methadone DDI studies, (1) measuring R- and S-methadone is more informative than measuring total methadone, and (2) CYP2B6 genotyping of subjects enrolled in methadone DDI studies should be considered. Finally, there is a need for the development of predictive models to determine the influence of medications on methadone disposition.

Dosing Recommendations for Quetiapine When Coadministered With HIV Protease Inhibitors.

Although current quetiapine labeling recommends that its dosage should be lowered 6-fold when coadministered with strong cytochrome P450 (CYP)3A inhibitors, a reported case of coma in a patient receiving quetiapine with lopinavir and ritonavir prompted the reevaluation of labeling recommendations for the dosing of quetiapine when coadministered with human immunodeficiency virus (HIV) protease inhibitors. Literature and database (FDA Adverse Event Reporting System and United States Symphony Health Solutions' Integrated Dataverse Database) searches allowed us to identify cases of coma and related adverse events involving the coadministration of quetiapine and HIV protease inhibitors and to estimate the frequency of concomitant use. Literature review and physiologically based pharmacokinetic modeling allowed us to estimate the potential for CYP3A inhibition to contribute to adverse events related to HIV protease inhibitor-quetiapine coadministration. We identified excess sedation following coadministration of quetiapine and an HIV protease inhibitor in 3 reports without obvious confounders. In prescription claims data, 0.4% of quetiapine patients were dispensed a concurrent ritonavir prescription. The quetiapine dose was not reduced on ritonavir initiation in 90% of therapy episodes. Available data indicate to us that all HIV protease inhibitors combined with ritonavir are likely to be strong CYP3A inhibitors. We predicted that ritonavir would increase quetiapine exposure comparable to the strong CYP3A inhibitor ketoconazole. The current dosing recommendations for use of quetiapine with strong CYP3A inhibitors (ie, 6-fold lower quetiapine dose) are appropriate and should be followed when quetiapine is coadministered with HIV protease inhibitors.

Treatment and Prevention of CMV Disease in Transplant Recipients: Current Knowledge and Future Perspectives.

This review summarizes the significant impact of cytomegalovirus (CMV) infection on solid organ and hematopoietic stem cell transplant recipients. A discussion of the various CMV prevention and treatment strategies is provided, including a detailed description of each of the available CMV antiviral drugs.

Methadone Metabolism and Drug-Drug Interactions: In Vitro and In Vivo Literature Review.

Methadone is utilized for the treatment of individuals with opiate dependence. Methadone undergoes N-demethylation by multiple cytochrome P450 (CYP) enzymes including CYP3A4, CYP2B6, CYP2C19, CYP2D6, CYP2C9, and CYP2C8. In vivo, polymorphism effects on methadone systemic exposure have been noted for CYP2B6, CYP3A4, and CYP2D6. Clinical drug interaction studies with antiviral drugs in methadone maintenance treatment patients yield varying results on methadone pharmacokinetics and pharmacodynamics. In general, CYP inhibitors altered methadone exposure with no adverse effects. CYP inducers generally decreased methadone exposure with some reports of withdrawal symptoms in the subjects. Interaction studies with antiviral drug combinations yielding differing results depend on the enzyme(s) affected. For certain antiviral medicines which are dual inhibitor(s) and inducer(s) for CYP enzymes, their effect on methadone pharmacokinetics can change with time since the effect of induction is usually delayed compared to the effect of inhibition.

Stable Isotope Pharmacokinetic Studies Provide Insight into Effects of Age, Sex, and Weight on Levothyroxine Metabolism.

BACKGROUND: This study sought to determine whether levothyroxine pharmacokinetics (PKs) are affected by age, weight, and sex. METHODS: A PK study was performed after administration of a tracer dose of carbon-13-labeled LT4 (13C-LT4). The study was conducted at an academic medical center. Adults of any age being treated with levothyroxine for hypothyroidism were enrolled in the study. A single dose of 13C-LT4 was administered. Eighteen serial plasma samples were collected. One sample was obtained before the 13C-LT4 dose, and the majority of the remaining samples were collected over the 120-hour period post dosing. 13C-LT4 concentration was quantified using liquid chromatography tandem mass spectrometry. PK analysis was conducted using a linear log trapezoidal non-compartmental analysis using Phoenix 6.4. RESULTS: Eight males and 33 females with a median age of 50 years (range 22-78 years) and median weight of 65.9 kg (range 50-150 kg) were enrolled in the study. The median 13C-LT4 dose administered was 100 µg (range 70-300 µg). The median oral clearance rate (CL/F), apparent volume of distribution (V/F), time to peak concentration (Tmax), and dose-normalized peak concentration (Cmax) of 13C-LT4 were estimated to be 0.712 L/h, 164.9 L, 4 h, and 7.5 ng/L/µg, respectively. The dose-normalized area under the concentration-time curve from time 0 to 120 hours and half-life of the terminal distribution phase were 0.931 ng.h/mL/µg and 172.2 h, respectively. There was no significant difference in any 13C-LT4 PK parameter between patients aged >60 years (n = 10) and patients aged ≤60 years (n = 31), nor was there a relationship between age as a continuous variable and 13C-LT4 PK parameters. Sex only affected CL/F, V/F, and dose-normalized Cmax in univariate analyses. However, after adjusting for weight, sex was no longer a significant covariate. Weight was a significant predictor for CL/F, V/F and dose-normalized Cmax of 13C-LT4 in multivariate analyses. CONCLUSION: Prior studies suggest that patient age affects levothyroxine dose requirement. This study did not identify an effect of age and suggests that age-related changes in levothyroxine pharmacokinetics may be mediated by age-related weight differences. Physicians should consider a patient's weight, rather than age, for estimating levothyroxine dosage requirement.

Utility of Model-Based Approaches for Informing Dosing Recommendations in Specific Populations: Report From the Public AAPS Workshop.

This report summarizes the discussions and recommendations of the workshop titled "Specific Population Drug Dosing Recommendations: Shifting from Clinical Studies to Predict and Confirm," which preceded the 2015 American Association of Pharmaceutical Scientists annual meeting. Participants from the pharmaceutical industry, regulatory agencies (FDA and EMA), and academia discussed the current state, challenges, opportunities, and future direction of utilizing model-based approaches to inform dosing recommendations in specific populations.

Design Features of Drug-Drug Interaction Trials Between Antivirals and Oral Contraceptives.

The aim of this work was to explore the major design features of drug-drug interaction trials between antiviral medications (AVs) and oral contraceptives (OCs). Information on these trials (n = 27) was collected from approved drug labels and clinical pharmacology reviews conducted by the U.S. Food and Drug Administration. The primary objective of all trials was to evaluate changes in OC exposure following the coadministration of AVs. In addition, an evaluation of potential pharmacodynamic interaction was performed in 10 of these trials. Twenty-two trials were open label with a fixed-sequence design, and 5 trials used a double-blind crossover design. The trials were conducted using one, two, or three 28-day ovulatory cycles in 10, 8, and 9 trials, respectively. Only 1 trial enrolled HIV-infected women. The median number of women in a trial was 20 (range, 12 to 52). Norethindrone/ethinyl estradiol (EE) combination was the most commonly used OC (n = 16, 59%) followed by norgestimate/EE (n = 9, 33%). Labeling recommendations were based on exposure changes in 25 cases and on safety observations in the trial in 2 cases. In conclusion, a wide variety of trial designs was used, and there is no preferred design. The answer to the exposure question can be achieved using multiple designs.