Clarithromycin,a potent inhibitor of CYP3A,greatly increases exposure to oral S‐ketamine

Background: Oral ketamine is used as an adjuvant in the treatment of refractory neuropathic and cancer‐related pain. Drug interactions may alter the analgesic or other effects of ketamine. Aim and methods: The aim of the study was to investigate the effect of cytochrome P450 3A enzyme inhibition with clarithromycin on the pharmacokinetics and pharmacodynamics of oral S‐ketamine in a randomized controlled cross‐over study with two phases. Ten healthy subjects were pre‐treated with oral clarithromycin or placebo for 4 days. On day 4, they ingested an oral dose of 0.2 mg/kg of S‐ketamine syrup. Plasma concentrations of ketamine and norketamine were measured for 24 h. Analgesic effects were evaluated in a cold pressor test and psychomotor effects were followed for 12 h. Results: Clarithromycin increased the mean C_max of ketamine by 3.6‐fold (p < 0.001) and the mean AUC_0–∞ of ketamine by 2.6‐fold (p = 0.001). The relative amount of the CYP3A dependent metabolite norketamine was decreased by 54% by clarithromycin (p = 0.004). Self‐rated drug effect of S‐ketamine was enhanced by clarithromycin (p < 0.05) but other behavioral effects or cold pain scores were not affected. Conclusions: Clarithromycin strongly increases plasma concentrations of oral S‐ketamine probably by inhibiting its CYP3A‐mediated N‐demethylation. This increase is reflected as modest changes in behavioral effects of oral S‐ketamine.     

No pharmacokinetic interactions between mycophenolic acid and tacrolimus in renal transplant recipients

Objective:  The aim of this study was to investigate drug interactions between mycophenolic acid (MPA), the active metabolite of mycophenolate mofetil (MMF) and tacrolimus, as well as the impact of CYP3A5 and UGT2B7 genetic polymorphisms on these drug interactions in 71 Japanese renal transplant recipients. Methods:  Recipients received combination immunosuppressive therapy consisting of tacrolimus and MMF. On day 28 after transplantation, the concentrations of MPA and tacrolimus were measured by high‐performance liquid chromatography and microparticle enzyme immunoassay respectively. Results:  Acute rejection was over twice more common in recipients with a total area under the observed plasma concentration‐time curve (AUC_0–12) of MPA <70 μg·h/mL than in those with higher values AUC_0–12 values (17% vs. 7%).Using this cut‐off AUC value, sensitivity was 70·6% and specificity 55·6% for acute rejection (AR). There was no change in AUC_0–12, maximum plasma concentration, trough plasma concentration, or oral clearance of tacrolimus with variation in dosage or AUC of MPA. There were also no significant differences in the MPA pharmacokinetic parameters among three tacrolimus C₀ groups: 5 ≤ C₀ < 10, 10 ≤ C₀ < 15 and 15 ≤C₀ < 20 ng/mL. Furthermore, there were no significant differences in MPA pharmacokinetic parameters between the UGT2B7*1/*1 and *1/*2 genotype groups having the CYP3A5*1 allele or the CYP3A5*3/*3 genotype. Conclusion:  Therapeutic dosages of MMF, do not significantly influence tacrolimus pharmacokinetics, and vice versa. Consequently, MPA and tacrolimus can be safely combined; however, it is necessary to monitor the plasma concentrations of each immunosuppressive agent to minimize acute rejection.     

Effect of cyclosporine on drug transport and pharmacokinetics of nifedipine

Nifedipine (NFP) is an anti-hypersensitive drug and a well-known substrate of cytochrome P450 3A4 (CYP3A4), while cyclosporine (CSP) is a potent p-glycoprotein (P-gp) inhibitor. P-gp is a drug transporter, which determines the absorption and bioavailability of many drugs that are substrates for P-gp. Drugs that induce or inhibit P-gp may have a profound effect on the absorption and pharmacokinetics (PK) of drugs transported by P-gp within the body, possibly compromising their bioavailability. But the role of P-gp in the NFP efflux and its impact on PK profile is not known. Hence in our present study we attempted to investigate the effect of CSP on oral absorption and PK of NFP. Rhodamine 123 (Rho 123), a known P-gp substrate was used as a positive control. Male Wistar rats (350–400 g) were used for the study. Rats were divided into 4 groups (n = 6 each); one group was treated with vehicle (cremophor) followed by NFP (0.2 mg/kg; i.v. bolus) and the other group with CSP (10 mg/kg; i.v.) followed by NFP. Group 3 and 4 were treated with vehicle (cremophor) followed by Rho 123 (0.2 mg/kg, i.v.) and CSP (10 mg/kg; i.v.) followed by Rho 123 (0.2 mg/kg, i.v.) respectively. The blood samples were collected at 0, 5, 10, 15, 30, 60, 90, 120, 180 and 240 min after NFP administration. NFP concentrations in plasma were analyzed by LC–MS–MS and Rho 123 was analyzed by fluorimetric detector. NFP efflux was significantly decreased in CSP treated rats (49.1% decrease, P < 0.05), while NFP concentration in plasma were not changed. However the decrease in NFP efflux did not show any significant changes in NFP PK parameters (T_max; 2.0 vs. 2.5 min, C_max; 0.084 vs. 0.076 μg/ml, T_1/2; 84.0 vs. 91.4 min, AUC_0–t; 4.183 vs. 3.467 μg h/ml, AUC_∞; 5.915 vs. 4.769 μg h/ml, AUMC_0–t; 224.073 vs. 173.063 μg h/ml, AUMC_∞; 776.871 vs. 575.038 μg h/ml, MRT_0–t; 53.608 vs. 49.538 μg h/ml, MRT_∞; 118.194 vs. 115.246 μg h/ml, CL_tot; 0.0375 vs. 0.0433 l/h, Vd_ss; 3.999 vs. 4.641 l in NFP alone vs. CSP + NFP groups respectively). Thus the results indicate that NFP would belong to a group of P-gp substrate. The decrease in efflux of NFP by CSP, through inhibition of P-gp, into the intestinal lumen did not show any impact on PK. This could be due to the activity of other transporters and/or CYP3A4 may have more limiting role than P-gp on NFP metabolism and disposition that is why inhibiting P-gp did not lead to increase the bioavailability and PK alterations.     

Pharmacogenetic determinants for interindividual difference of tacrolimus pharmacokinetics 1 year after renal transplantation

What is known and objective: Tacrolimus, a widely used immunosuppressive agent in organ transplantation, has a narrow therapeutic window. It has been suggested that its interaction with lansoprazole could be dependent on polymorphisms of CYP3A5 and CYP2C19. The objective of this study was to investigate how, 1 year after renal transplantation, CYP3A5 and CYP2C19 polymorphisms, biochemical parameters and coadministration with lansoprazole, influenced tacrolimus pharmacokinetics. Methods: The pharmacokinetics of tacrolimus was studied 1 year after renal transplantation, in 75 recipients who were all receiving continuation treatment with 12‐hourly oral tacrolimus, and 30 mg lansoprazole daily (Group 1; n = 20) or, 10 mg rabeprazole daily or no proton pump inhibitor (Group 2; n = 55). Results: There were no significant differences in the dose‐adjusted area under the plasma concentration–time curve (AUC_0–12) and maximum plasma concentration (C_max) of tacrolimus between CYP2C19 genotype groups, but there were significant differences between CYP3A5 genotypes groups (*1/*1 + *1/*3 vs. *3/*3 = 45·2 ± 20·0 vs. 71·0 ± 34·1 ng·h/mL/mg, P < 0·0001 and 6·3 ± 2·6 vs. 9·3 ± 7·0 ng/mL/mg, P = 0·0017, respectively) and between co‐administration with and without lansoprazole (74·5 ± 34·0 vs. 52·4 ± 27·4 ng·h/mL/mg, P = 0·0054 and 10·9 ± 8·8 vs. 6·7 ± 3·0 ng/mL/mg, P = 0·0024, respectively). In a multiple regression analysis, the dose‐adjusted AUC_0–12 and C_max of tacrolimus were associated with CYP3A5*3/*3 and co‐administration with lansoprazole. What is new and conclusion: CYP2C19 does not seem to contribute to the interaction between tacrolimus and lansoprazole. The long‐term combination of tacrolimus and lansoprazole requires careful monitoring of patients with the CYP3A5*3/*3 genotype.     

Assessment of Tacrolimus Absorption From the Human Intestinal Tract: Open-Label,Randomized, 4-Way Crossover Study

Background

Tacrolimus is an established immunosuppressant used for the prevention and treatment of allograft rejection in solid organ transplantation. An immediate-release oral formulation of tacrolimus has been commercially available since 1994 that is administered orally BID. To improve the compliance and quality of life of transplant patients, a once-daily modified release (MR) formulation is an attractive option. However, to be successful, the drug of interest must be sufficiently well absorbed from the distal region of the gastrointestinal tract.

Objective

To facilitate the development of an MR formulation, we investigated the absorption of tacrolimus from different regions of the human gastrointestinal tract, proximal and distal small bowels, and ascending colon.

Methods

The study was performed as an open-label, randomized, 4-way crossover design in 6 healthy white male subjects. For each subject, 1 mg (2 mg/mL) of tacrolimus solution in polyethylene glycol 400 was administered to each location in the gastrointestinal tract via a site-specific radiolabeled delivery capsule, which can release tacrolimus solution at specific sites of the gastrointestinal tract. Real-time visualization of capsule location and tacrolimus release at each target site was performed by using γ-scintigraphy. Blood samples were collected to determine tacrolimus levels in the blood. The pharmacokinetic parameters C_max, T_max after the capsule activation, AUC_0–24, and mean residence time were determined from the concentration–time profiles.

Results

Ten healthy male subjects underwent dosing. Six subjects completed all 4 treatments. Three adverse events (mild headache [n = 1], small amount of blood in stool [n = 1], and mild syncopal episode [n = 1]) that were possibly study drug related were reported in 3 different subjects. Tacrolimus was absorbed from not only the small intestine but also from the colonic region of the gastrointestinal tract. Although AUC_0–24 values revealed some site-specific absorption tendencies, the mean AUC_0–24 values obtained were similar regardless of the location of tacrolimus release from the capsule.

Conclusions

Tacrolimus was absorbed from the duodenum to the colon in these male subjects, although differences were observed in the value of AUC_0–24, possibly due to variation in cytochrome P450 3A4 activity in the intestine. Although this study was conducted in small group of healthy fasting men, the present results indicate that tacrolimus is suitable for MR formulation development due to a wide absorption window throughout the intestine in humans.     

Effect of cytochrome P450 3A4 inhibitor ketoconazole on risperidone pharmacokinetics in healthy volunteers

What is known and objective: Risperidone is an atypical antipsychotic agent used for the treatment of schizophrenia. It is mainly metabolized by human cytochrome P450 CYP2D6 and partly by CYP3A4 to 9‐hydroxyrisperidone. Ketoconazole is used as a CYP3A4 inhibitor probe for studying drug–drug interactions. We aim to investigate the effect of ketoconazole on the pharmacokinetics of risperidone in healthy male volunteers. Methods: An open‐label, randomized, two‐phase crossover design with a 2‐week washout period was performed in 10 healthy male volunteers. The volunteers received a single oral dose of 2 mg of risperidone alone or in combination with 200 mg of ketoconazole, once daily for 3 days. Serial blood samples were collected at specific periods after ingestion of risperidone for a period of 96 h. Plasma concentrations of risperidone and 9‐hydroxyrisperidone were determined using a validated HPLC–tandem mass spectrometry method. Results and discussion: After pretreatment with ketoconazole, the clearance of risperidone decreased significantly by 34·81 ± 15·10% and the T_1/2 of risperidone increased significantly by 28·03 ± 40·60%. The AUC_0–96 and AUC_0–∞ of risperidone increased significantly by 66·61 ± 43·03% and 66·54 ± 39·76%, respectively. The Vd/f of risperidone increased significantly by 39·79 ± 53·59%. However, the C_max and T_max of risperidone were not significantly changed, indicating that ketoconazole had minimal effect on the absorption of risperidone. The C_max, T_max and T_1/2 of 9‐hydroxyrisperidone did not decrease significantly. However, the Cl/f of 9‐hydroxyrisperidone increased significantly by 135·07 ± 124·68%, and the Vd/f of 9‐hydroxyrisperidone decreased significantly by 29·47 ± 54·64%. These changes led to a corresponding significant decrease in the AUC_0–96 and AUC_0–∞ of 9‐hydroxyrisperidone by 47·76 ± 22·39% and 48·49 ± 20·03%, respectively. Ketoconazole significantly inhibited the metabolism of risperidone through the inhibition of hepatic CYP3A4. Our results suggest that besides CYP2D6, CYP3A4 contributes significantly to the metabolism of risperidone. What is new and Conclusion: The pharmacokinetics of risperidone was affected by the concomitant administration of ketoconazole. If a CYP3A4 inhibitor is used concomitantly with risperidone, it is necessary for the clinicians to monitor their patients for signs of adverse drug reactions.     

Influence of CYP2D6*10 on the pharmacokinetics of metoprolol in healthy Korean volunteers

Background and objective: Genetic polymorphism of CYP2D6 leads to differences in pharmacokinetics of CYP2D6 substrates. The CYP2D6*10 allele is clinically important in Koreans because of its high frequency in Asians. We investigated whether the pharmacokinetics of metoprolol was altered by the presence of the CYP2D6*10 allele in Korean subjects. Methods: One hundred and seven volunteers were recruited and grouped as CYP2D6*1/*1, CYP2D6*1/*10 and CYP2D6*10/*10 according to their genotypes. Metoprolol tartrate 100 mg (Betaloc^®) was administered orally once to each subject in these three groups (n = 6, 7 and 5, respectively). The pharmacokinetic parameters of metoprolol and its metabolite, α‐hydroxymetoprolol, and the metabolic ratio for the three groups were estimated and compared. Results and discussion: The area under the plasma concentration–time curve (AUC_0→∞), the maximum plasma concentration (C_max) and the elimination half‐life (T_1/2) of metoprolol and α‐hydroxymetoprolol for the CYP2D6*10/*10 group were all significantly different from those of the CYP2D6*1/*1 group (P < 0·05). The AUC_0→∞s of metoprolol were 443·7 ± 168·1, 995·6 ± 321·4 and 2545·3 ± 632·0 ng·h/mL, and the AUC_0→∞s of α‐hydroxymetoprolol were 1232·0 ± 311·2, 1344·0 ± 288·1 and 877·4 ± 103·4 ng·h/mL for groups CYP2D6*1/*1, *1/*10 and *10/*10, respectively. The corresponding T_1/2 values of metoprolol were 2·7 ± 0·5, 3·2 ± 1·3 and 5·0 ± 1·1 h, while those of α‐hydroxymetoprolol were 5·4±1·5, 6·0 ± 1·4 and 10·5 ± 4·2 h, respectively. The metabolic ratios of the three groups were significantly different (P < 0·05). Conclusion: The CYP2D6*10 allele altered the pharmacokinetics of metoprolol in Korean subjects and is likely to affect other drugs metabolized by the CYP2D6 enzyme, similarly.     

Decreased oral absorption of cyclosporine A after liver ischemia-reperfusion injury in rats: the contribution of CYP3A and P-glycoprotein to the first-pass metabolism in intestinal epithelial cells

The bioavailability of orally administrated cyclosporine A (CsA) is poor and variable in liver transplantation recipients. Little information is available about the effect of liver ischemia-reperfusion (I/R) injury, which is associated with liver transplantation, on the intestinal first-pass metabolism of CsA. In the present study, we investigated the pharmacokinetics of CsA after liver I/R and assessed the effect of liver I/R via CYP3A and P-glycoprotein (P-gp) on its intestinal first-pass metabolism. When CsA alone was administrated orally, the area under the concentration-time curve (AUC) in the I/R rats was significantly decreased compared with that in the sham rats. On the other hand, there were no significant differences in the AUC between I/R and sham rats when CsA was administrated intravenously or orally with ketoconazole. After intraloop administration of CsA to the small intestine (upper, middle, and lower portions) of the I/R and sham rats, the AUC(0-15 min) in the upper intestine was significantly lower in the I/R rats than in the sham rats. CYP3A activity and the expression levels of P-gp in the upper intestine of the I/R rats were significantly higher than those of the sham rats. Our study clearly demonstrates for the first time that liver I/R decreases the oral bioavailability of CsA and that this is attributable principally to increased first-pass metabolism mediated by CYP3A and P-gp in the upper small intestine. The present findings provide useful information for the etiology of liver I/R injury and appropriate use of CsA after liver transplantation.     

Influence of CYP2C9 and CYP2C19 genetic polymorphisms on pharmacokinetics and pharmacodynamics of gliclazide in healthy Chinese Han volunteers

Background and objective: CYP2C9 is the major contributor to gliclazide metabolic clearance in vitro, while the pharmacokinetics of gliclazide modified release are affected mainly by CYP2C19 genetic polymorphisms in vivo. This study aims to investigate the influence of CYP2C9 and CYP2C19 genetic polymorphisms on the pharmacokinetics and pharmacodynamics of gliclazide in healthy Chinese Han volunteers. Methods: Eighteen healthy Han subjects with various combinations of CYP2C9 and CYP2C19 genotypes received 80 mg gliclazide. Plasma gliclazide concentrations were measured by a liquid chromatography–tandem mass spectrometry method for 84 h and plasma glucose and insulin levels were measured up to 15 h post‐dose. Results and discussion: There was no difference in either pharmacokinetic and or pharmacodynamic parameters of gliclazide when group A (CYP2C9*1/*1, CYP2C19 extensive metabolizers) was compared with group B (CYP2C9*1/*3, CYP2C19 *1/*1). When group C (CYP2C9*1/*1 and CYP2C19 poor metabolizers) was compared with group A, the AUC_0–∞ and C_max in group C were significantly higher [83·94 ± 40·41 vs. 16·39 ± 5·10 μg·h/mL (P = 0·000) and 1·50 ± 0·85 vs. 0·45 ± 0·18 μg/mL (P = 0·000)], and the oral clearance was significantly lower [1·17 ± 0·63 vs. 5·38 ± 1·86 L/h (P = 0·000)]. The half‐life of gliclazide was also significantly prolonged in group C subjects when compared with that of group A (33·47 ± 12·39 vs. 19·34 ± 10·45 h), but the difference was not significant (P = 0·052). The increase in serum glucose level at 11 h after dosing (ΔC_glu11) in group C was significantly higher than that of group A (?1·08 ± 0·42 vs. 0·22 ± 1·01 mmol/L, P = 0·022). The corresponding insulin levels showed no difference between the two groups. Conclusion: CYP2C9*3 was not associated with any change in the disposition of gliclazide. CYP2C19 polymorphisms appear to exert the dominant influence on the pharmacokinetics of gliclazide in healthy Chinese Han subjects, and may also affect the observed pharmacodynamics of the drug as a result.     

Pharmacokinetic effects of capsaicin on vinblastine in rats mediated by CYP3A and Mrp2

Capsaicin (trans‐8‐methyl‐N‐vanillyl‐6‐nonenamide, CAP) is an important ingredient in spicy foods consumed throughout the world. Vinblastine (VBL) is a naturally occurring alkaloid prescribed to cancer patients. Many cancer patients treated with VBL were taking CAP at the same time. This study attempted to investigate the effect of CAP on the pharmacokinetics of VBL, which is the substrate of CYP3A, P‐gp, and Mrp2. CAP, cyclosporine (CsA) or olive oil was given to rats for seven consecutive days, and on the seventh day, VBL (1.3 mg/kg) was administered intravenously. CsA was used as a CYP3A1/2 and transporter inhibitor, and olive oil was used as a vehicle. The results showed that pretreatment of rats with CAP (3.0 mg/kg) for seven consecutive days resulted in an increase in the AUC_0–t of VBL of about 29.8% (P < 0.05) compared with the control group. Moreover, CAP decreased the CL of VBL to 75.5% (P < 0.05). At this time, CYP3A1/2 and Mrp2/Abcc2 in the liver was decreased at the mRNA and protein levels. These results demonstrate that chronic ingestion of CAP will increase systemic exposure and reduce clearance of VBL in rats. The food–drug interaction between CAP and VBL appears to be due to modulation of CYP3A1/2 and Mpr2 expression by CAP.     

Sunitinib–ibuprofen drug interaction affects the pharmacokinetics and tissue distribution of sunitinib to brain,liver, and kidney in male and female mice differently

Tyrosine kinase inhibitor sunitinib (used in GIST, advanced RCC, and pancreatic neuroendocrine tumors) undergoes CYP3A4 metabolism and is an ABCB1B and ABCG2 efflux transporters substrate. We assessed the pharmacokinetic interaction with ibuprofen (an NSAID used by patients with cancer) in Balb/c male and female mice. Mice (study group) were coadministered (30 min apart) 30 mg/kg of ibuprofen and 60 mg/kg of sunitinib PO and compared with the control groups, which received sunitinib alone (60 mg/kg, PO). Sunitinib concentration in plasma, brain, kidney, and liver was measured by HPLC as scheduled and noncompartmental pharmacokinetic parameters estimated. In female control mice, sunitinib AUC_0→∞ decreased in plasma (P < 0.05), was higher in liver and brain (P < 0.001), and lower in kidney (P < 0.001) vs. male control mice. After ibuprofen coadministration, female mice showed lower AUC_0→∞ in plasma (P < 0.01), brain, liver, and kidney (all P < 0.001). However, in male mice, AUC_0→∞ remained unchanged in plasma, increased in liver and kidney, and decreased in brain (all P < 0.001). The tissue‐to‐plasma AUC_0→∞ ratio was similar between male and female control mice, but changed after ibuprofen coadministration: Male mice showed 1.6‐fold higher liver‐to‐plasma ratio (P < 0.001) while remained unchanged in female mice and in kidney (male and female mice) but decreased 55% in brain (P < 0.05). The tissue‐to‐plasma partial AUC ratio, the drug tissue targeting index, and the tissue‐plasma hysteresis‐like plots also showed sex‐based ibuprofen–sunitinib drug interaction differences. The results illustrate the relevance of this DDI on sunitinib pharmacokinetics and tissue uptake. These may be due to gender‐based P450 and efflux/transporters differences.     

Effect of soybean administration on the pharmacokinetics of carbamazepine and omeprazole in rats

Influence of soybean administration on the bioavailability of carbamazepine and omeprazole was studied after single dose administration of soybean (10 g/kg p.o.) or after chronic administration of soybean (50% w/w mixed with normal feed) for 15 days in rats. Carbamazepine was administered orally at a dose of 10 mg/kg and omeprazole at a dose of 20 mg/kg. Soybean decreased the bioavailability of carbamazepine after both single dose and chronic administration. It produced a significant decrease in C_max, T_max, AUC_0–t of carbamazepine after single dose administration and increased the plasma clearance and V_d along with decrease in C_max, T_max, AUC_0–t and AUC_{0– ∞} after chronic administration. On the contrary, soybean administration increased the bioavailability of omeprazole by producing an increase in C_max, AUC_0–t and AUC_{0– ∞} and a decrease in V_d after single dose administration and a decrease in plasma clearance along with increase in C_max, AUC_0–t and AUC_{0– ∞} after chronic administration. The half‐life of omeprazole was also increased after both acute and chronic administration of soybean. It was concluded that soybean decreases the bioavailability of carbamazepine and increases the bioavailability of omeprazole after both single dose and chronic administration.     

Pharmacokinetics and Safety of Triple Therapy with Vonoprazan,Amoxicillin, and Clarithromycin or Metronidazole: A Phase 1, Open-Label,Randomized, Crossover Study

Introduction

Vonoprazan (TAK-438) is a novel potassium-competitive acid blocker that inhibits gastric H⁺, K⁺-ATPase. The objectives of this study were to evaluate the influence of triple therapy with vonoprazan–amoxicillin–clarithromycin or vonoprazan–amoxicillin–metronidazole on the pharmacokinetics of each component of the triple therapies (primary) and to evaluate the safety and tolerability of vonoprazan-based triple therapies (secondary) in healthy adults.

Methods

In this single-center, phase 1, open-label, randomized, four-way crossover study, Helicobacter pylori-negative, healthy Japanese male subjects were randomly assigned to 1 of 4 treatment sequences in two cohorts (12 subjects per cohort). Each treatment sequence comprised four treatment periods separated by a washout period of 7 or 14 days. Pharmacokinetic parameters for vonoprazan, amoxicillin, clarithromycin and metronidazole in single therapy or triple therapies were assessed. All adverse events were recorded.

Results

Compared with single therapy, triple therapy with vonoprazan–amoxicillin–clarithromycin increased the area under the plasma concentration–time curve from time 0–12 h (AUC_0-12) and maximum plasma concentration (C _max) of plasma vonoprazan free base by 1.846- and 1.868-fold, respectively, and increased the AUC_0-12 and C _max of plasma clarithromycin by 1.450- and 1.635-fold, respectively. Triple therapy with vonoprazan–amoxicillin–metronidazole had no influence on the pharmacokinetics of vonoprazan or metronidazole. The pharmacokinetics of amoxicillin was not influenced by vonoprazan-based triple therapies. Seven adverse events were reported. Two subjects discontinued because of an adverse event (rash, liver function test abnormal); both events were considered to be study drug-related.

Conclusion

In healthy Japanese male subjects, triple therapy with vonoprazan–amoxicillin–clarithromycin increased vonoprazan and clarithromycin exposure. The safety and tolerability profile of triple therapy with vonoprazan–amoxicillin–clarithromycin or vonoprazan–amoxicillin–metronidazole was favorable in this population.

Funding

Takeda Pharmaceutical Company Ltd.

Trial registration

JapicCTI-153102.

     

Estimation of minimum whole-blood tacrolimus concentration for therapeutic drug monitoring with plasma prednisolone concentration: A retrospective cohort study in Japanese kidney transplant recipients

Background: In immunosuppressive therapy administered after organ transplantation, therapeutic drug monitoring (TDM) of tacrolimus must be performed frequently because of the large variation in its pharmacokinetic properties and a progressive decrease in dose requirements. An indicator for estimating the target minimum whole-blood tacrolimus concentration (C_{min TAC}) would be useful to minimize the number of blood samplings required for tacrolimus TDM.Objectives: The primary objective of this study was to investigate whether plasma prednisolone concentration, postoperative days (POD) and AUC 0 to 9 hours before transplantation (AUC_0-9int) are useful indicators of tacrolimus TDM. The secondary objective was to determine the usefulness of blood tacrolimus concentration as an indicator of the development of nontraumatic, glucocorticoid-induced necrosis of the femoral head, an adverse event that has been associated with the use of prednisolone in vivo.Methods: This open-label, nonrandomized, retrospective study was conducted at the Department of Transplantation and Regenerative Surgery, Kyoto Prefectural University of Medicine, Kyoto, Japan. Data from 43 male and 22 female patients (mean age, 38 years [range, 9-64 years]) who received a living-related kidney transplant from 2001 to 2004 were included. Multiple blood samplings were performed to determine AUC_0-9int, AUC 0 to 9 hours after drug administration and after transplantation (AUC_0-9), C_{min TAC}, C_max, and T_max after transplantation. The correlations between each parameter were determined. The correlation between POD and the changes in tacrolimus bioavailability was investigated using the indicator, defined as the tacrolimus dose required to maintain the target (10-15 ng/mL) C_{min TAC} (dose/C_10-15). Correlations between dose/C_10-15 and AUC_0-9int (3 AUC_0-9int groups, defined as follows: low, medium, and high [<93, ≧93−≤152, and ≧152 ng·h/mL, respectively]) were determined. Correlations between mean C_min values of prednisolone at a dose of 40 mg on PODs 4 to 11 (C_{min PSL40}) and C_{min TAC}, or AUC_0-9int were determined. A subanalysis was used to determine the relationship between dose/C_10-15 and the prevalence of nontraumatic, glucocorticoid-induced necrosis of the femoral head.Results: C_{min TAC} was found to be significantly correlated with AUC_0-9int (r=0.554; P<0.001) and C_{min PSL40} (r=0.336; P<0.001). In the low-AUC_0-9int group, dose/C_10-15 was higher than that of the other groups (P<0.001). AUC_0-9int was significantly correlated with C_{min PSL40} (r=0.445; P<0.001)). Dose/C_10-15 in the patient group that had necrosis of the femoral head was lower than that of the group without necrosis (n=6; P<0.01).Conclusions: The results of this small, retrospective study suggest that C_{min PSL40}, AUC_0-9int, and POD were significant predictors of C_{min TAC}. These parameters were found to be a useful indicator of tacrolimus TDM in these Japanese transplant recipients. Our results also suggest that dose/C_10-15 and AUC_0-9int might be useful indicators for estimating the risk for nontraumatic, steroid-induced necrosis of the femoral head. (Curr Ther Res Clin Exp. 2006;67: 103-117) Copyright © 2006 Excerpta Medica, Inc.     

Intestinal MDR transport proteins and P-450 enzymes as barriers to oral drug delivery.

Cytochrome P-450 3A4 (CYP3A4), the major phase I drug metabolizing enzyme in humans, and the multidrug efflux pump, MDR or P-glycoprotein (P-gp), are present at high levels in the villus tip enterocytes of the small intestine, the primary site of absorption for orally administered drugs. These proteins are induced or inhibited by many of the same compounds and demonstrate a broad overlap in substrate and inhibitor specificities, suggesting that they act as a concerted barrier to drug absorption. A series of studies from our laboratory of cyclosporine and tacrolimus in humans and a novel cysteine protease inhibitor in rats, dosed concomitantly with inhibitors and inducers of CYP3A4 and P-gp, suggest that gut extraction can be modeled using measures of intestinal metabolism and absorption rate, the latter reflecting changes in P-gp. Results evaluating a preliminary model applied to the CYP3A substrate drugs midazolam, indinavir, saquinavir, and rifabutin suggest that the model may be useful for predicting in vivo intestinal metabolism from in vitro data.     

Modulation of Biotransformation Systems and ABC Transporters by Benznidazole in Rats

The effect of antichagasic benznidazole (BZL; 100 mg/kg body weight/day, 3 consecutive days, intraperitoneally) on biotransformation systems and ABC transporters was evaluated in rats. Expression of cytochrome P-450 (CYP3A), UDP-glucuronosyltransferase (UGT1A), glutathione S-transferases (alpha glutathione S-transferase [GST-α], GST-μ, and GST-π), multidrug-resistance-associated protein 2 (Mrp2), and P glycoprotein (P-gp) in liver, small intestine, and kidney was estimated by Western blotting. Increases in hepatic CYP3A (30%) and GST-μ (40%) and in intestinal GST-α (72% in jejunum and 136% in ileum) were detected. Significant increases in Mrp2 (300%) and P-gp (500%) proteins in liver from BZL-treated rats were observed without changes in kidney. P-gp and Mrp2 were also increased by BZL in jejunum (170% and 120%, respectively). In ileum, only P-gp was increased by BZL (50%). The activities of GST, P-gp, and Mrp2 correlated well with the upregulation of proteins in liver and jejunum. Plasma decay of a test dose of BZL (5 mg/kg body weight) administered intraduodenally was faster (295%) and the area under the concentration-time curve (AUC) was lower (41%) for BZL-pretreated rats than for controls. The biliary excretion of BZL was higher (60%) in the BZL group, and urinary excretion of BZL did not show differences between groups. The amount of absorbed BZL in intestinal sacs was lower (25%) in pretreated rats than in controls. In conclusion, induction of biotransformation enzymes and/or transporters by BZL could increase the clearance and/or decrease the intestinal absorption of coadministered drugs that are substrates of these systems, including BZL itself.     

The cytochrome P4503A4 inhibitor clarithromycin increases the plasma concentrations and effects of repaglinide.

OBJECTIVE: Our objective was to study the effects of the macrolide antibiotic clarithromycin on the pharmacokinetics and pharmacodynamics of repaglinide, a novel short-acting antidiabetic drug. METHODS: In a randomized, double-blind, 2-phase crossover study, 9 healthy volunteers were treated for 4 days with 250 mg oral clarithromycin or placebo twice daily. On day 5 they received a single dose of 250 mg clarithromycin or placebo, and 1 hour later a single dose of 0.25 mg repaglinide was given orally. Plasma repaglinide, serum insulin, and blood glucose concentrations were measured up to 7 hours. RESULTS: Clarithromycin increased the mean total area under the concentration-time curve of repaglinide by 40% (P <.0001) and the peak plasma concentration by 67% (P <.005) compared with placebo. The mean elimination half-life of repaglinide was prolonged from 1.4 to 1.7 hours (P <.05) by clarithromycin. Clarithromycin increased the mean incremental area under the concentration-time curve from 0 to 3 hours of serum insulin by 51% (P <.05) and the maximum increase in the serum insulin concentration by 61% (P <.01) compared with placebo. No statistically significant differences were found in the blood glucose concentrations between the placebo and clarithromycin phases. CONCLUSIONS: Even low doses of the cytochrome P4503A4 (CYP3A4) inhibitor clarithromycin increase the plasma concentrations and effects of repaglinide. Concomitant use of clarithromycin or other potent inhibitors of CYP3A4 with repaglinide may enhance its blood glucose-lowering effect and increase the risk of hypoglycemia.     

Limited sampling strategies for estimation of tacrolimus exposure in kidney transplant recipients receiving extended‐release tacrolimus preparation

Tacrolimus is the key component of most contemporary immunosuppressive drug regimens for the prevention of transplant rejection. Area under the concentration time curve over 24 h (AUC_0–24) predicts efficacy, but predose (trough) tacrolimus blood concentration (C₀) is currently used to guide dosing. In clinical or research situations where an estimate of AUC is required, collection of a full 24 h pharmacokinetic (PK) profile is cumbersome. Limited sampling strategies (LSSs) have been developed for some tacrolimus preparations but not for the new, extended‐release, once‐daily formulation of tacrolimus, ENVARSUS XR. Twenty‐four kidney transplant recipients were enrolled in this study. Twenty‐four tacrolimus PK profiles were obtained over 24 h. Multiple linear regression was used to generate LSSs with the best subset selection for accurate estimation of tacrolimus AUC_0–24. The predictive performance of each model was assessed in the evaluation group. The correlation between actual and predicted AUC_0–24 was evaluated and mean percentage prediction error (MPE%), mean absolute percentage prediction error (MAE%), and root mean squared error (RMSE) were calculated for each prediction model to assess bias and precision. The selected LSSs were highly correlated to AUC_0–24 compared with the correlation between C₀ and AUC_0‐24. Two and three sampling points limited sampling strategies: C₀, C₂, and C₁₀ provide the most reliable and effective LSS for estimation of tacrolimus AUC_0–24 in routine clinic use. These limited sampling models can be applied in therapeutic drug monitoring schemes to personalize tacrolimus dosing for kidney transplant recipients on treatment with extended‐release tacrolimus.

Study Highlights

• WHAT IS THE CURRENT KNOWLEDGE ON THE TOPIC?

Tacrolimus is a narrow therapeutic index drug with wide pharmacokinetic (PK) variability between individuals. There is evidence that tacrolimus exposure based on blood concentration (C₀) monitoring can vary extensively. Although AUC is considered the best exposure indicator related to tacrolimus clinical effects, tacrolimus C₀ monitoring is the most commonly used method in routine clinical practice. There is no limited sampling strategy (LSS) available for kidney transplant recipients using extended‐released tacrolimus.

• WHAT QUESTION DID THIS STUDY ADDRESS?

This study assessed different LSSs for an accurate estimation of area under the concentration time curve over 24 h (AUC_0–24) for extended‐released tacrolimus.

• WHAT DOES THIS STUDY ADD TO OUR KNOWLEDGE?

Tacrolimus exposure can be accurately measured using two and three sampling points of LSS in kidney transplant recipients using extended‐released tacrolimus.

• HOW MIGHT THIS CHANGE CLINICAL PHARMACOLOGY OR TRANSLATIONAL SCIENCE?

These LSSs can be applied in therapeutic drug monitoring (TDM) schemes to personalize tacrolimus dosing in routine clinical practice for kidney transplant recipients receiving extended‐released tacrolimus. Moreover, it can be used in PK clinical trials providing an accurate AUC_0–24 estimation. It also can have useful implementation in the new micro‐sampling techniques.     

Pharmacokinetics of cysteamine bitartrate following intraduodenal delivery

Cysteamine is approved for the treatment of cystinosis and is being evaluated for Huntington's disease and non‐alcoholic fatty liver disease. Little is known about the bioavailability and biodistribution of the drug. The aim was to determine plasma, cerebrospinal fluid (CSF), and tissue (liver, kidney, muscle) cysteamine levels following intraduodenal delivery of the drug in rats pretreated and naïve to cysteamine and to estimate the hepatic first‐pass effect on cysteamine. Healthy male rats (n = 66) underwent intraduodenal and portal (PV) or jugular (JVC) venous catheterization. Half were pretreated with cysteamine, and half were naïve. Following intraduodenal cysteamine (20 mg/kg), serial blood samples were collected from the PV or the JVC. Animals were sacrificed at specific time points, and CSF and tissue were collected. Cysteamine levels were determined in plasma, CSF, and tissue. The C_max was achieved in 5–10 min from PV and 5–22.5 min from JVC. The PV‐C_max (P = 0.08), PV‐AUC_0–t (P = 0.16), JVC‐C_max (P = 0.02) and JVC‐AUC_0–t (P = 0.03) were higher in naive than in pretreated animals. Plasma cysteamine levels returned to baseline in ≤120 min. The hepatic first‐pass effect was estimated at 40%. Peak tissue and CSF cysteamine levels occurred ≤22.5 min, but returned to baseline levels ≤180 min. There was no difference in CSF and tissue cysteamine levels between naïve and pretreated groups, although cysteamine was more rapidly cleared in the pretreated group. Cysteamine is rapidly absorbed from the small intestine, undergoes significant hepatic first‐pass metabolism, crosses the blood brain barrier, and is almost undetectable in plasma, CSF, and body tissues 2 h after ingestion. Sustained‐release cysteamine may provide prolonged tissue exposure.     

Effects of clarithromycin on the metabolism of omeprazole in relation to CYP2C19 genotype status in humans.

BACKGROUND AND PURPOSE: A triple therapy with omeprazole, amoxicillin (INN, amoxicilline), and clarithromycin is widely used for the eradication of Helicobacter pylori. Omeprazole and clarithromycin are metabolized by CYP2C19 and CYP3A4. This study aimed to elucidate whether clarithromycin affects the metabolism of omeprazole. METHODS: After administration of placebo or 400 mg clarithromycin twice a day for 3 days, 20 mg omeprazole and placebo or 400 mg clarithromycin were administered to 21 healthy volunteers. Plasma concentrations of omeprazole and clarithromycin and their metabolites were determined before and 1, 2, 3, 5, 7, 10, and 24 hours after dosing. CYP2C19 genotype status was determined by a polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) method. RESULTS: Subjects were classified into three groups on the basis of PCR-RFLP analyses for CYP2C19: homozygous extensive metabolizer group (n = 6), heterozygous extensive metabolizer group (n = 11), and poor metabolizer group (n = 4). Mean area under the plasma concentration-time curves from 0 to 24 hours (AUC) of omeprazole in the homozygous extensive metabolizer, heterozygous extensive metabolizer, and poor metabolizer groups were significantly increased by clarithromycin from 383.9 to 813.1, from 1001.9 to 2110.4, and from 5589.7 to 13098.6 ng x h/mL, respectively. There were significant differences in the mean AUC values of clarithromycin among the three groups. CONCLUSION: Clarithromycin inhibits the metabolism of omeprazole. Drug interaction between clarithromycin and omeprazole may underlie high eradication rates achieved by triple therapy with omeprazole, amoxicillin, and clarithromycin.