Mathematical model of the relationship between pH holding time and erosive esophagitis healing rates.

Effective suppression of gastric acid secretion promotes healing of erosive esophagitis. Treatment guidelines recommend proton pump inhibitors (PPIs) and histamine H2-receptor antagonists (H2RAs). Emerging evidence also supports potassium-competitive acid blockers (P-CABs). The aim was to construct a mathematical model to examine the relationship between pH holding time ratios (HTRs) and erosive esophagitis healing rates with H2RAs, PPIs and P-CABs. By literature search, we identified studies of H2RAs, PPIs or P-CABs that reported mean pH >4 HTRs at steady state (days 5-8) and erosive esophagitis healing rates after 4 and/or 8 weeks. We aggregated treatments by drug class and developed a non-linear, mixed-effects model to explore the relationship between pH >4 HTRs and healing rates. The pH dataset included 82 studies (4297 participants; 201 dosage arms); healing rate data came from 103 studies (43,417 patients; 196 treatment arms). P-CABs achieved the longest periods with intragastric pH >4, and the highest healing rates after 4 and 8 weeks. The predicted probabilities of achieving ≥90% healing rates at 8 weeks were 74.1% for P-CABs, 17.3% for PPIs and 0% for H2RAs. P-CABs provide the longest duration with intragastric pH >4 and, accordingly, the highest healing rates of erosive esophagitis.

A translational pharmacokinetic/pharmacodynamic approach supports optimal vonoprazan dosing for erosive oesophagitis and Helicobacter pylori infection.

BACKGROUND: Treatment of acid-related disorders relies on gastric acid suppression. The percentage of time intragastric pH is >4 (pH >4 holding time ratio [HTR]) is important for healing erosive oesophagitis; and the pH >6 HTR is critical for eradication of Helicobacter pylori infection, as bacterial replication is active and antibiotic effectiveness is optimised. Vonoprazan, a potassium-competitive acid blocker approved in the USA and other countries, suppresses gastric acid secretion in a predictable, rapid and consistent manner, extended over prolonged periods. AIM: To explore the relationship between vonoprazan exposure and pH HTR through a pharmacokinetic/pharmacodynamic (PK/PD) model. METHODS: We pooled data from Phase 1 studies with intragastric pH measurements. Pharmacokinetic profiles were predicted for study participants using an existing population pharmacokinetic model. Pharmacokinetic and pharmacodynamic data were merged, and three direct-link PK/PD models were derived and used to simulate pH HTRs with between-participant variability for pH >4, >5 and >6, for vonoprazan doses of 20 mg once and twice daily. RESULTS: We used data from five Phase 1 studies to derive the PK/PD model. These included 245 participants (95.1% male, 50.6% Japanese and 49.4% non-Asian). Pre-dose, the mean pH >4 HTR was 6.4%, pH >5 3.2% and pH >6 1.2%. After 7 days of dosing, simulations predicted pH >4 HTRs of 89.7% and 98.1%, and pH >6 HTRs of 53.1% and 75.3%, for vonoprazan 20 mg once and twice daily, respectively. CONCLUSIONS: Vonoprazan 20 mg once- and twice-daily dosing demonstrated high, dose-dependent, 24-hour intragastric acid control in this PK/PD model, supporting clinical efficacy data in patients with acid-related disorders.

Tiered approach to evaluate the CYP3A victim and perpetrator drug-drug interaction potential for vonoprazan using PBPK modeling and clinical data to inform labeling.

Vonoprazan is metabolized extensively through CYP3A and is an in vitro time-dependent inhibitor of CYP3A. A tiered approach was applied to understand the CYP3A victim and perpetrator drug-drug interaction (DDI) potential for vonoprazan. Mechanistic static modeling suggested vonoprazan is a potential clinically relevant CYP3A inhibitor. Thus, a clinical study was conducted to evaluate the impact of vonoprazan on the exposure of oral midazolam, an index substrate for CYP3A. A physiologically-based pharmacokinetic (PBPK) model for vonoprazan was also developed using in vitro data, drug- and system-specific parameters, and clinical data and observations from a [14 C] human absorption, distribution, metabolism, and excretion study. The PBPK model was refined and verified using data from a clinical DDI study with the strong CYP3A inhibitor, clarithromycin, to confirm the fraction metabolized by CYP3A, and the oral midazolam clinical DDI data assessing vonoprazan as a time-dependent inhibitor of CYP3A. The verified PBPK model was applied to simulate the anticipated changes in vonoprazan exposure due to moderate and strong CYP3A inducers (efavirenz and rifampin, respectively). The clinical midazolam DDI study indicated weak inhibition of CYP3A, with a less than twofold increase in midazolam exposure. PBPK simulations projected a 50% to 80% reduction in vonoprazan exposure when administered concomitantly with moderate or strong CYP3A inducers. Based on these results, the vonoprazan label was revised and states that lower doses of sensitive CYP3A substrates with a narrow therapeutic index should be used when administered concomitantly with vonoprazan, and co-administration with moderate and strong CYP3A inducers should be avoided.

Pharmacodynamics and Pharmacokinetics of the Potassium-Competitive Acid Blocker Vonoprazan and the Proton Pump Inhibitor Lansoprazole in US Subjects.

INTRODUCTION: We assessed pharmacodynamics and pharmacokinetics of a potassium-competitive acid blocker and proton pump inhibitor in US subjects. METHODS: Healthy adults were randomized to 7-day periods of vonoprazan 20 mg once daily followed by lansoprazole 30 mg once daily or the reverse order, separated by ≥ 7 days of washout. RESULTS: Vonoprazan (N = 40) had higher proportions of 24-hour periods with intragastric pH > 4 than lansoprazole (N = 41,38) on day 1 (62.4% vs 22.6%, P < 0.0001) and day 7 (87.8% vs 42.3%, P < 0.0001). Separation in pH started ∼2.5 hours after the first dose. DISCUSSION: Vonoprazan provided more rapid and potent inhibition of intragastric acidity than lansoprazole in US subjects.

A Population Pharmacokinetic Model of Vonoprazan: Evaluating the Effects of Race, Disease Status, and Other Covariates on Exposure.

Vonoprazan, a potassium-competitive acid blocker, is under investigation in the United States and Europe for the treatment of erosive esophagitis and Helicobacter pylori infection. Population pharmacokinetic (popPK) analysis allows the identification of factors that could affect drug exposure in population subgroups. Here, we report a popPK model based on pooled data sets of available pharmacokinetic (PK) studies in healthy volunteers and patients with gastroesophageal reflux disease, including erosive esophagitis, from Asia and Europe. This model was used to evaluate the impact of different covariates, including race and disease status, on vonoprazan exposure. We analyzed PK data from 746 patients and 410 healthy volunteers from 15 clinical trials using a nonlinear mixed-effects approach to develop the popPK model. Model development focused on characterizing and quantifying the effects of clinical covariates of race (Asian vs non-Asian) and disease status (gastroesophageal reflux disease vs healthy volunteers) on vonoprazan exposure. Identified clinical covariates included fed/fasting status, race, sex, disease status, weight, serum creatinine, and age. The impact of variations in these clinical covariates on exposure to vonoprazan was smaller than the effect of halving or doubling the dose. PK parameters were similar in Asian and non-Asian populations. Variations in weight, age, and race are not predicted to have a clinically relevant impact on vonoprazan exposure or safety and require no changes in vonoprazan dosing. The limited impact of race on exposure suggests that efficacy and safety data for vonoprazan in Asian populations are translatable to non-Asian populations.

The Effect of Food on the Pharmacokinetics of the Potassium-Competitive Acid Blocker Vonoprazan.

Herein, we report a food-effect study of vonoprazan, an oral potassium-competitive acid blocker. In a phase 1, randomized, open-label, crossover study, healthy subjects received a single 20-mg dose of vonoprazan either following an overnight fast or 30 minutes after a high-fat breakfast. Plasma vonoprazan levels were determined at 0 hour and at 17 subsequent assessment points up to 48 hours after dosing. After a 5-day washout, subjects received a second 20-mg vonoprazan dose in the alternative fed/fasted state (identical process repeated). Twenty-four subjects completed the study. Vonoprazan exposure was not meaningfully affected by food. Geometric mean ratios for maximum concentration, area under the concentration-time curve from time 0 to 24 hours, and area under the plasma concentration-time curve extrapolated to infinity obtained under fed and fasting conditions were 1.05 (90% confidence interval, 0.98-1.12), 1.13 (1.09-1.18), and 1.15 (1.11-1.19), respectively. Four subjects experienced 6 adverse events that were all mild and considered unrelated to the study drug. Vonoprazan can be administered without regard to food intake.

Clopidogrel pharmacokinetics and pharmacodynamics vary widely despite exclusion or control of polymorphisms (CYP2C19, ABCB1, PON1), noncompliance, diet, smoking, co-medications (including proton pump inhibitors), and pre-existent variability in platelet function.

OBJECTIVES: This study sought to determine whether known genetic, drug, dietary, compliance, and lifestyle factors affecting clopidogrel absorption and metabolism fully account for the variability in clopidogrel pharmacokinetics and pharmacodynamics. BACKGROUND: Platelet inhibition by clopidogrel is highly variable. Patients with reduced inhibition have increased risk for major adverse cardiovascular events. Identification of factors contributing to clopidogrel's variable response is needed to improve platelet inhibition and reduce risk for cardiovascular events. METHODS: Healthy subjects (n = 160; ages 20 to 53 years; homozygous CYP2C19 extensive metabolizer genotype; no nicotine for 6 weeks, prescription drugs for 4 weeks, over-the-counter drugs for 2 weeks, and no caffeine or alcohol for 72 h; confined; restricted diet) received clopidogrel 75 mg/day for 9 days, at which time clopidogrel pharmacokinetic and pharmacodynamic endpoints were measured. RESULTS: At steady-state, clopidogrel active metabolite (clopidogrel(AM)) pharmacokinetics varied widely between subjects (coefficients of variation [CVs] 33.8% and 40.2% for clopidogrel(AM) area under the time-concentration curve and peak plasma concentration, respectively). On-treatment vasodilator stimulated phosphoprotein P2Y(12) platelet reactivity index (PRI), maximal platelet aggregation (MPA) to adenosine phosphate, and VerifyNow P2Y12 platelet response units (PRU) also varied widely (CVs 32% to 53%). All identified factors together accounted for only 18% of intersubject variation in pharmacokinetic parameters and 32% to 64% of intersubject variation in PRI, MPA, and PRU. High on-treatment platelet reactivity was present in 45% of subjects. CONCLUSIONS: Clopidogrel pharmacokinetics and pharmacodynamics vary widely despite rigorous exclusion or control of known disease, polymorphisms (CYP2C19, CYP3A5, ABCB1, PON1), noncompliance, co-medications, diet, smoking, alcohol, demographics, and pre-treatment platelet hyperreactivity. Thus, as yet unidentified factors contribute to high on-treatment platelet reactivity with its known increased risk of major adverse cardiovascular events. (A Study of the Effects of Multiple Doses of Dexiansoprazole, Lansoprazole, Omeprazole or Esomeprazole on the Pharmacokinetics and Pharmacodynamics of Clopidogrel in Healthy Participants: NCT00942175).

A randomized, 2-period, crossover design study to assess the effects of dexlansoprazole, lansoprazole, esomeprazole, and omeprazole on the steady-state pharmacokinetics and pharmacodynamics of clopidogrel in healthy volunteers.

OBJECTIVES: The aim of this study was to assess the effects of different proton pump inhibitors (PPIs) on the steady-state pharmacokinetics and pharmacodynamics of clopidogrel. BACKGROUND: Metabolism of clopidogrel requires cytochrome P450s (CYPs), including CYP2C19. However, PPIs may inhibit CYP2C19, potentially reducing the effectiveness of clopidogrel. METHODS: A randomized, open-label, 2-period, crossover study of healthy subjects (n = 160, age 18 to 55 years, homozygous for CYP2C19 extensive metabolizer genotype, confined, standardized diet) was conducted. Clopidogrel 75 mg with or without a PPI (dexlansoprazole 60 mg, lansoprazole 30 mg, esomeprazole 40 mg, or, as a positive control to maximize potential interaction and demonstrate assay sensitivity, omeprazole 80 mg) was given daily for 9 days. Pharmacokinetics and pharmacodynamics were assessed on days 9 and 10. Pharmacodynamic end-points were vasodilator-stimulated phosphoprotein P2Y(12) platelet reactivity index, maximal platelet aggregation to 5 and 20 µmol/l adenosine diphosphate, and VerifyNow P2Y12 platelet response units. RESULTS: Pharmacokinetic and pharmacodynamic responses with omeprazole demonstrated assay sensitivity. The area under the curve for clopidogrel active metabolite decreased significantly with esomeprazole but not with dexlansoprazole or lansoprazole. Similarly, esomeprazole but not dexlansoprazole or lansoprazole significantly reduced the effect of clopidogrel on vasodilator-stimulated phosphoprotein platelet reactivity index. All PPIs decreased the peak plasma concentration of clopidogrel active metabolite (omeprazole > esomeprazole > lansoprazole > dexlansoprazole) and showed a corresponding order of potency for effects on maximal platelet aggregation and platelet response units. CONCLUSIONS: Generation of clopidogrel active metabolite and inhibition of platelet function were reduced less by the coadministration of dexlansoprazole or lansoprazole with clopidogrel than by the coadministration of esomeprazole or omeprazole. These results suggest that the potential of PPIs to attenuate the efficacy of clopidogrel could be minimized by the use of dexlansoprazole or lansoprazole rather than esomeprazole or omeprazole.

Metabolism and excretion of [14C] febuxostat, a novel nonpurine selective inhibitor of xanthine oxidase, in healthy male subjects.

Absorption, metabolism, and excretion of one 80 mg oral dose of [(14)C] febuxostat ([thiazole-4-(14)C] 2-[3-cyano-4-isobutoxyphenyl]-4-methyl-5-thiazolecarboxylic acid) were studied in 6 healthy subjects. Mean cumulative recovery in excreta was 94% (49% urine and 45% feces) of the dose over 9 days; 87% of the dose was profiled. Seventeen radioactive peaks were observed in urine and fecal chromatograms. Unchanged febuxostat contributed to a combined total in excreta of 10% to 18% of the dose, indicating that it was extensively metabolized and well absorbed. Metabolites were 67M-1 (10%) and 67M-2 (11%) hydroxylated febuxostat, febuxostat acyl-glucuronide (30%), 67M-4 di-carboxylic acid (14%), 67M-1 sulfate conjugate (3%), and dehydrated 67M-1/67M-2 acyl-glucuronide (0.5%). Febuxostat and these metabolites accounted for 82% of profiled dose; unidentified peaks individually contributed <1.3% of the dose. Febuxostat and total radioactivity plasma C(max) values were observed at 0.5 hour postdose, suggesting that febuxostat was quickly absorbed. At 4 hours postdose, plasma chromatographic profiles contained 6 peaks: febuxostat (85%), 67M-1 (4%), 67M-2 (5%), febuxostat acyl-glucuronide (4%), 67M-4 (1%), and 67M-1 sulfate (0.5%). Compared to total radioactivity, febuxostat accounted for 94% at C(max) and 83% of the area under the concentration-time curve (AUC) values. Based on the whole blood to plasma total radioactivity, little radioactivity was associated with red blood cells.

Pharmacokinetics and pharmacodynamics of febuxostat, a new non-purine selective inhibitor of xanthine oxidase in subjects with renal impairment.

To assess the safety, pharmacokinetics, and pharmacodynamics of febuxostat in subjects with normal renal function or renal impairment, febuxostat (80 mg/d) was orally administered for 7 days to subjects with normal renal function (n = 11, CLcr >80 mL/min/1.73 m) or to subjects with mild (n = 6, CLcr 50-80 mL/min/1.73 m), moderate (n = 7, CLcr 30-49 mL/min/1.73 m), or severe renal impairment (n = 7, CLcr 10-29 mL/min/1.73 m). The pharmacokinetics of febuxostat and its active quantifiable metabolites 67M-1, 67M-2, and 67M-4 as well as the pharmacodynamics of uric acid, xanthine, and hypoxanthine were determined in plasma (or serum) and urine. Febuxostat was safe and well tolerated. Regression analyses indicated that febuxostat tmax and Cmax,u values were not affected by CLcr. However, for AUC24,u, CLu/F, and t1/2z, regression analyses indicated a statistically significant relationship with CLcr. With the exception of 67M-1 Cmax, regression analyses for 67M-2 and 67M-4 Cmax, and for AUC24 for all 3 metabolites indicated a statistically significant linear relationship with CLcr. Irrespective of renal function group, the mean serum uric acid concentrations decreased by 55% to 64% by day 7. Although plasma exposure to febuxostat and its metabolites was generally higher in subjects with increasing degrees of renal impairment, the percentages of decrease in serum uric acid were comparable regardless of the renal function group. A once-daily 80-mg dose of febuxostat appears to be safe and well tolerated in different renal function groups and does not appear to require any dose adjustment based on differences in renal function.

Impact on carnitine homeostasis of short-term treatment with the pivalate prodrug cefditoren pivoxil.

BACKGROUND: Pivalate-generating prodrugs have been suggested to cause clinically significant hypocarnitinemia. To evaluate the effect of pivalate prodrug treatment on carnitine homeostasis, we administered a pivalate prodrug, cefditoren pivoxil, to healthy subjects and performed carnitine balance studies. METHODS: Cefditoren pivoxil was administered in one of two dosing regimens (200 mg cefditoren twice daily for 10 days or 400 mg cefditoren twice daily for 14 days) to gender-balanced groups of 15 subjects. Plasma and urine concentrations of carnitine, acetylcarnitine, pivaloylcarnitine, and total carnitine were quantified before, during, and after treatment. RESULTS: Plasma carnitine concentrations fell during cefditoren pivoxil dosing. The nadir in carnitine concentration was dependent on the dose of cefditoren and subject gender (decrease from 44.8 +/- 10.9 micromol/L to 9.2 +/- 1.9 micromol/L in male patients and from 32.5 +/- 5.4 micromol/L to 6.3 +/- 1.7 micromol/L in female patients after 14 days of 400 mg cefditoren twice daily). Urinary elimination of pivaloylcarnitine resulted in a marked increase in total carnitine excretion, as well as net losses of total carnitine of approximately 4.6 mmol with the 200-mg, 10-day regimen and up to 14.9 mmol with the 400-mg, 14-day regimen. Pivaloylcarnitine was the dominant form of excreted pivalate. DISCUSSION: Short-term administration of cefditoren pivoxil results in hypocarnitinemia and increased net losses of total carnitine. It is estimated that net carnitine losses were only 10% of body stores, even with the highest dose regimen tested. Losses of this magnitude would not be anticipated to result in adverse clinical effects.

Assay of TNP-470 and its two major metabolites in human plasma by high-performance liquid chromatography-mass spectrometry.

In this study, a sensitive, specific assay for the determination of TNP-470 and its two major metabolites M-IV (also know as AGM-1883) and M-II in human plasma is reported. The assay involves liquid-liquid extraction of acidified plasma followed by reversed-phase high-performance liquid chromatography-atmospheric pressure chemical ionization-tandem mass spectrometry. A liquid-liquid extraction using an organic solvent mixture (methyl-tert-butyl-ether-hexane, 1:1, v/v) is used in place of solid-phase extraction because it provides consistent recoveries for all analytes, including the internal standard. Retention times for the analytes and internal standard are less than 7 min. Within- and between-day precision is < or = 6.5% and < or = 13.3% relative standard deviation, respectively, for the three analytes. The lower limits of quantitation are 0.25, 0.5, and 1.0 ng/mL for TNP-470, M-IV, and M-II, respectively.