Extension de temps QT
Effets indésirables des médicaments
|Infection respiratoire supérieure|
Variantes ✨Pour l'évaluation intensive en calcul des variantes, veuillez choisir l'abonnement standard payant.
Explications pour les patients
Nous n'avons aucun avertissement supplémentaire pour l'association de pioglitazone, théophylline et de cimétidine. Veuillez également consulter les informations spécialisées pertinentes.
Les changements d'exposition mentionnés sont liés aux changements de la courbe concentration plasmatique en fonction du temps [ASC]. L'exposition à la théophylline augmente à 143%, lorsqu'il est associé à la pioglitazone (99%) et à la cimétidine (145%). L'exposition à la pioglitazone augmente à 101%, lorsqu'il est associé à la théophylline (100%) et à la cimétidine (101%). Nous n'avons détecté aucune modification de l'exposition à la cimétidine. Nous ne pouvons actuellement pas estimer l'influence de la pioglitazone et de la théophylline.
Les paramètres pharmacocinétiques de la population moyenne sont utilisés comme point de départ pour calculer les changements individuels d'exposition dus aux interactions.
La pioglitazone a une biodisponibilité orale élevée [ F ] de 83%, raison pour laquelle les concentrations plasmatiques maximales [Cmax] ont tendance à peu changer pendant une interaction. La demi-vie terminale [ t12 ] est de 8.3 heures et les taux plasmatiques constants [ Css ] sont atteints après environ 9 999 heures. La liaison aux protéines [ Pb ] est très forte à 99% et le volume de distribution [ Vd ] est de 36 litres dans la fourchette moyenne, Le métabolisme a lieu via le CYP2C19, CYP2C8 et le CYP3A4, entre autres.
La théophylline a une biodisponibilité orale élevée [ F ] de 85%, raison pour laquelle les concentrations plasmatiques maximales [Cmax] ont tendance à peu changer pendant une interaction. La demi-vie terminale [ t12 ] est de 7 heures et les taux plasmatiques constants [ Css ] sont atteints après environ 9 999 heures. La liaison aux protéines [ Pb ] est plutôt faible à 40% et le volume de distribution [ Vd ] est de 36 litres dans la fourchette moyenne, Étant donné que la substance a un faible taux d'extraction hépatique de 0,9, le déplacement de la liaison aux protéines [Pb] dans le contexte d'une interaction peut augmenter l'exposition. Le métabolisme a lieu via le CYP1A2, CYP2D6, CYP2E1 et le CYP3A4, entre autres.
La cimétidine a une biodisponibilité orale moyenne [ F ] de 65%, raison pour laquelle les concentrations plasmatiques maximales [Cmax] ont tendance à changer avec une interaction. La demi-vie terminale [ t12 ] est assez courte à 1.6333333 heures et des taux plasmatiques constants [ Css ] sont atteints rapidement. La liaison aux protéines [ Pb ] est très faible à 19% et le volume de distribution [ Vd ] est très important à 91 litres. Le métabolisme ne se fait pas via les cytochromes communs et le transport actif s'effectue en partie via BCRP et PGP.
|Les scores||∑ Points||pio||thé||cim|
|Effets sérotoninergiques a||0||Ø||Ø||Ø|
Évaluation: Selon nos connaissances, ni la pioglitazone, théophylline ni la cimétidine n'augmentent l'activité sérotoninergique.
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|Kiesel & Durán b||2||Ø||+||+|
Recommandation: Par mesure de précaution, une attention particulière doit être portée aux symptômes anticholinergiques, en particulier après augmentation de la dose et à des doses dans l'intervalle thérapeutique supérieur.
Évaluation: La théophylline et la cimétidine n'ont qu'un effet léger sur le système anticholinergique. Le risque de syndrome anticholinergique avec ce médicament est plutôt faible si la posologie se situe dans la plage habituelle. Selon nos résultats, la pioglitazone n'augmente pas l'activité anticholinergique.
Extension de temps QT
|Les scores||∑ Points||pio||thé||cim|
Recommandation: Veuillez vous assurer que les facteurs de risque influençables sont minimisés. Les perturbations électrolytiques telles que de faibles niveaux de calcium, de potassium et de magnésium doivent être compensées. La dose efficace la plus faible de cimétidine doit être utilisée.
Évaluation: La cimétidine peut potentiellement prolonger le temps QT et s'il existe des facteurs de risque, les arythmies de type torsades de pointes peuvent être favorisées. Nous ne connaissons aucun potentiel d'allongement de l'intervalle QT pour la pioglitazone et la théophylline.
Effets secondaires généraux
|Effets secondaires||∑ la fréquence||pio||thé||cim|
|Infection respiratoire supérieure||13.2 %||13.2||n.a.||n.a.|
|Gain de poids||1.0 %||+||n.a.||n.a.|
|Vision floue||1.0 %||+||n.a.||n.a.|
|Réactions cutanées allergiques||1.0 %||n.a.||+||n.a.|
|Mal de crâne||1.0 %||n.a.||+||n.a.|
Hémorragie intracrânienne: théophylline
Crise d'épilepsie: théophylline
Augmentation de la fréquence des mictions: théophylline
Insuffisance cardiaque: pioglitazone
Fibrillation auriculaire: théophylline
Œdème maculaire: pioglitazone
Syndrome de Stevens-Johnson: théophylline
Réaction anaphylactique: théophylline
Sur la base de vos
Abstract: To investigate a possible interaction between norfloxacin and theophylline, eight healthy nonsmoking volunteers (mean age 27 +/- 5.3 years) were administered aminophylline, 5 mg/kg, before and after a 6-day course of norfloxacin, 400 mg every 12 hours, and changes in pharmacokinetic parameters were measured and compared. Norfloxacin induced significant decreases in theophylline clearance (14.9%; p less than 0.01) and the terminal phase slope (13.3%; p less than 0.02) and increased the AUC (16.6%; p less than 0.01). The apparent volume of distribution at steady state was unchanged. The greatest norfloxacin-induced individual change in theophylline clearance was a reduction of 28.6%. Given these findings, we advise that, for patients who are treated with theophylline and are subsequently treated with norfloxacin, adjustment of the theophylline dosage may be necessary in some patients to minimize the risk of theophylline toxicity.
Abstract: In 42 subjects with chronic obstructive lung disease receiving chronic oral theophylline therapy, the venous whole blood theophylline concentration was closely related to the total plasma theophylline concentrations (r = 0.976, p less than 0.001). The blood/plasma concentration ratio was 0.85 +/- 0.13 and was not related to the haematocrit or the free fraction of theophylline in plasma. The red blood cell theophylline concentration was closely related and numerically similar to the free plasma concentration. This indicates that the free plasma concentration is the most important determinant of red blood cell concentration, and that binding of drug by red blood cells or active uptake into erythrocytes is unlikely to occur. Whole blood concentration can be used to predict plasma theophylline concentration in subjects with obstructive lung disease in situations where preparation of plasma is inconvenient. The therapeutic range for whole blood concentration is approximately 8.5-17 mg/L.
Abstract: The effect of erythromycin base on theophylline kinetics was studied in eight informed, nonsmoking, adult males who received a 15-min infusion of theophylline (aminophylline) 5 mg/kg, prior to (control) and after (experimental) a 7-day course of 1 gm daily erythromycin base (E-Mycin). Each subject acted as his own control. Multiple serum samples were collected for 24 hr after each dose and were analyzed for theophylline by high-pressure liquid chromatography. The mean +/- SD pharmacokinetic parameters for each phase of study were as follows: apparent volume of distribution (L/kg) 0.45 +/- 0.05 (control), 0.41 +/- 0.05 (experimental); clearance (ml . min/kg) 0.83 +/- 0.17 (control), 0.60 +/- 0.11 (experimental); elimination half-life (hr) 6.65 +/- 1.88 (control), 8.10 +/- 1.58 (experimental). Erythromycin significantly affected the elimination half-life and clearance of theophylline (p less than 0.05). The apparent volume of distribution was unaffected (p greater than 0.05). Therefore patients being administered theophylline appear to be at added risk for the development of toxicity when erythromycin is added to the therapeutic regimen.
Abstract: The effects of famotidine (80 mg per day), cimetidine (1600 mg per day), and placebo on theophylline pharmacokinetic parameters in chronic obstructive pulmonary disease (COPD) patients were compared. This was an open-label, randomized, three-period cross-over study, in which each subject first underwent a seven-day theophylline washout period, and thereafter received three single intravenous doses of theophylline (5 mg/kg infused over 30 minutes) during the study. Each of the experimental treatments was administered orally every 12 hours for a total of 9.5 days (19 doses). Theophylline was infused after the 17th dose of each treatment. Fourteen serial blood samples were collected before the start of each infusion, and for 30 hours after the end of each infusion. Plasma samples were assayed for theophylline, pharmacokinetic parameters were estimated, and treatment effects on each parameter were compared. Fourteen COPD patients completed all three periods of the investigation. Famotidine treatment had virtually no effect on any of theophylline's pharmacokinetic parameters. In contrast, cimetidine treatment significantly altered every pharmacokinetic parameter of theophylline as follows: Cimetidine decreased theophylline geometric mean CL from 2.74 L/h to 2.07 L/h (P < .001), and prolonged theophylline harmonic mean half-life from 6.6 to 9.6 hours (P < .001) and mean residence time from 10.8 to 15.0 hours (P < .001). Cimetidine treatment slightly increased theophylline volume of distribution by approximately 10%, and that change also was statistically significant (P = .032). The authors conclude that the treatment effects of cimetidine on theophylline pharmacokinetic parameters were in accord with those reported by others, and that famotidine treatment had no effect on any of theophylline's pharmacokinetic parameters in COPD patients.
Abstract: Recently, the use of astemizole and terfenadine, both non-sedating H1-antihistamines, caused considerable concern. Several case reports suggested an association of both drugs with an increased risk of torsades de pointes, a special form of ventricular tachycardia. The increased risk of both H1-antihistamines was associated with exposure to supratherapeutic doses; for terfenadine the risk was also associated with concomitant exposure to the cytochrome P-450 inhibitors ketoconazole, erythromycin and cimetidine. To predict the size of the population that runs the risk of developing this potentially fatal adverse reaction in the Netherlands, the prevalence of prescribing supratherapeutic doses and the concomitant exposure to terfenadine and cytochrome P-450 inhibitors was studied. Data were obtained from the PHARMO data base in 1990, a pharmacy-based record linkage system encompassing a catchment population of 300,000 individuals. The results of the study showed that the prescribing of supratherapeutic doses and the concomitant exposure to terfenadine and cytochrome P-450 inhibitors was low. Furthermore, the results of a sensitivity analysis showed that the risk of fatal torsades de pointes has to be as high as 1 in 10,000 to cause one death in the Netherlands in one year.
Abstract: Rifampin and rifabutin induce the metabolism of many drugs, which may result in subtherapeutic concentrations and failure of therapy. However, differences between rifabutin and rifampin in potency of induction, and the specific enzymes which are altered, are not clear. This study, involving 12 adult male volunteers, compared the effects of 14-day courses of rifampin and rifabutin on clearance of theophylline, a substrate for the hepatic microsomal enzyme CYP1A2. Subjects were given oral theophylline solution (5 mg/kg of body weight) on day 1 and then randomized to receive daily rifampin (300 mg) or rifabutin (300 mg) on days 3 to 16. Theophylline was readministered as described above on day 15. The first treatment sequence was followed by a 2-week washout period; subjects then received the alternative treatment. Theophylline concentrations were determined for 46 h after each dose, and pharmacokinetic parameters were determined. One subject developed flu-like symptoms while taking rifabutin and withdrew voluntarily. Results from the remaining 11 subjects are reported. Compared with the baseline, the mean area under the concentration-time curve (AUC) (+/- standard deviation) for theophylline declined significantly following rifampin treatment (from 140 +/- 37 to 100 +/- 24 micrograms . h/ml, P <0.001); there was no significant change following rifabutin treatment (136 +/- 48 to 128 +/- 45 micrograms.h/ml). Baseline theophylline AUCs before each treatment phase were not different. A comparison of equal doses of rifampin and rifabutin administered to healthy volunteers for 2 weeks indicates that induction of CYP1A2, as measured by theophylline clearance, is significantly less following rifabutin treatment than it is following rifampin treatment. However, the relative induction potency for other metabolic enzymes remains to be investigated.
Abstract: Twelve healthy volunteers were enrolled in an open-label, randomized, crossover study. Subjects received single doses of theophylline (5 mg/kg) with and without multiple-dose terbinafine, and 11 blood samples were collected over 24 h. The study phases were separated by a 4-week washout period. Theophylline serum data were modeled via noncompartmental analysis. When the control phase (i.e., no terbinafine) was compared to the treatment phase (terbinafine), theophylline exposure (the area under the serum concentration-time curve from time zero to infinity) increased by 16% (P = 0.03), oral clearance decreased by 14% (P = 0.04), and half-life increased by 24% (P = 0.002). No significant changes in other theophylline pharmacokinetic parameters were evident.
Abstract: Astemizole (Hismanal), an antihistamine agent, has been reported to be associated with ventricular arrhythmias. In this paper we present a case of QT prolongation and torsades de pointes (TdP) in a 77-year-old woman who had been taking astemizole (10 mg/day) for 6 months because of allergic skin disease. At the time of admission, the serum concentration of astemizole and its metabolites was markedly elevated at 15.85 ng/ml, approximately 3 times the normal level. The patient was also taking cimetidine, a known inhibitor of cytochrome P-450 enzymatic activity, and during her admission was diagnosed as having vasospastic angina. To the best of our knowledge, this is the first report of astemizole-induced QT prolongation and TdP in Japan.
Abstract: This study investigated the effects of the concomitant administration of theophylline and toborinone on the pharmacokinetics of both compounds in poor and extensive metabolizers via CYP2D6. In period 1, a single dose of 3.5 mg/kg theophylline was administered orally. In period 2, a single dose of 1.0 microg/kg/min toborinone was infused over 6 hours. In period 3, 3.5 mg/kg theophylline was coadministered with 1.0 microg/kg/min toborinone. Serial blood and pooled urine samples were collected before and after toborinone administration for the quantification of toborinone and its metabolites in plasma and urine. Serial blood samples were collected before and after theophylline administration for the quantification of theophylline and its metabolites in plasma. No significant differences were observed in toborinone pharmacokinetics between poor and extensive metabolizers via CYP2D6. Toborinone coadministration with theophylline did not result in a substantive effect on the disposition of theophylline and vice versa.
Abstract: OBJECTIVE: To examine the potential effect of daidzein on CYP1A2 activity and on the pharmacokinetics of theophylline by inhibiting its metabolism. METHODS: The experiment was conducted in a single-blind, placebo-controlled, parallel study. The caffeine metabolic ratio (CMR) used as an indicator of CYP1A2 function was completed at baseline and after daidzein or placebo co-administration. A single dose of 100 mg theophylline was taken by all 20 volunteers on day 3. Thereafter, volunteers were allocated for one of two regimens. One group received 200 mg daidzein twice daily for 10 days. The other group received placebo. On day 12, the test group received 200 mg daidzein with 100 mg theophylline; the parallel group received 100 mg theophylline with placebo. RESULTS: The baseline value of CMR between test group and control group did not show a difference (P=0.215). The percentage decrease in CMR ranged from -50% to 20%, with an average value of -19.8+/-19.7%. The percentage decrease in test group was statistically significant (P=0.009), and no significant changes were shown in the control group (t=0.12, P=0.914). By comparing the pharmacokinetic parameters of theophylline before and after daily treatment with daidzein, the effect of daidzein on the metabolism of theophylline was evident. Comparing the kinetics parameters of theophylline of day 1 (without co-medication) with those of day 12 (10-day daidzein), the AUC(0-48), AUC(0- infinity ), C(max) and t(1/2) were significantly increased by 33.57+/-21.75% (CI, 1.21-1.46, P< 0.05), 33.77+/-21.45% (CI, 1.20-1.46, P<0.05), 23.54+/-16.93% (CI, 1.23-1.52, P< 0.05) and 41.39+/-45.92% (t=-3.19, P=0.011), respectively. The pharmacokinetic parameters of theophylline within the placebo group showed no statistically significant difference (P >0.05). CONCLUSIONS: Daidzein, a principal isoflavone in soybean, in higher doses may inhibit CYP1A2 activity in vivo, and physicians should be aware of potential drug-food interactions.
Abstract: Renal drug interactions can result from competitive inhibition between drugs that undergo extensive renal tubular secretion by transporters such as P-glycoprotein (P-gp). The purpose of this study was to evaluate the effect of itraconazole, a known P-gp inhibitor, on the renal tubular secretion of cimetidine in healthy volunteers who received intravenous cimetidine alone and following 3 days of oral itraconazole (400 mg/day) administration. Glomerular filtration rate (GFR) was measured continuously during each study visit using iothalamate clearance. Iothalamate, cimetidine, and itraconazole concentrations in plasma and urine were determined using high-performance liquid chromatography/ultraviolet (HPLC/UV) methods. Renal tubular secretion (CL(sec)) of cimetidine was calculated as the difference between renal clearance (CL(r)) and GFR (CL(ioth)) on days 1 and 5. Cimetidine pharmacokinetic estimates were obtained for total clearance (CL(T)), volume of distribution (Vd), elimination rate constant (K(el)), area under the plasma concentration-time curve (AUC(0-240 min)), and average plasma concentration (Cp(ave)) before and after itraconazole administration. Plasma itraconazole concentrations following oral dosing ranged from 0.41 to 0.92 microg/mL. The cimetidine AUC(0-240 min) increased by 25% (p < 0.01) following itraconazole administration. The GFR and Vd remained unchanged, but significant reductions in CL(T) (655 vs. 486 mL/min, p < 0.001) and CL(sec) (410 vs. 311 mL/min, p = 0.001) were observed. The increased systemic exposure of cimetidine during coadministration with itraconazole was likely due to inhibition of P-gp-mediated renal tubular secretion. Further evaluation of renal P-gp-modulating drugs such as itraconazole that may alter the renal excretion of coadministered drugs is warranted.
Abstract: BACKGROUND AND OBJECTIVE: The thiazolidinedione antidiabetic drug pioglitazone is metabolized mainly by cytochrome P450 (CYP) 2C8 and CYP3A4 in vitro. Our objective was to study the effects of gemfibrozil, itraconazole, and their combination on the pharmacokinetics of pioglitazone to determine the role of these enzymes in the fate of pioglitazone in humans. METHODS: In a randomized, double-blind, 4-phase crossover study, 12 healthy volunteers took either 600 mg gemfibrozil or 100 mg itraconazole (first dose, 200 mg), both gemfibrozil and itraconazole, or placebo twice daily for 4 days. On day 3, they received a single dose of 15 mg pioglitazone. Plasma drug concentrations and the cumulative excretion of pioglitazone and its metabolites into urine were measured for up to 48 hours. RESULTS: Gemfibrozil alone raised the mean total area under the plasma concentration-time curve from time 0 to infinity [AUC(0-infinity)] of pioglitazone 3.2-fold (range, 2.3-fold to 6.5-fold; P < .001) and prolonged its elimination half-life (t (1/2) ) from 8.3 to 22.7 hours ( P < .001) but had no significant effect on its peak concentration (C max ) compared with placebo (control). Gemfibrozil increased the 48-hour excretion of pioglitazone into urine by 2.5-fold ( P < .001) and reduced the ratios of the active metabolites M-III and M-IV to pioglitazone in plasma and urine. Gemfibrozil decreased the area under the plasma concentration-time curve from time 0 to 48 hours [AUC(0-48)] of the metabolites M-III and M-IV by 42% ( P < .05) and 45% ( P < .001), respectively, but their total AUC(0-infinity) values were reduced by less or not at all. Itraconazole had no significant effect on the pharmacokinetics of pioglitazone and did not alter the effect of gemfibrozil on pioglitazone pharmacokinetics. The mean area under the concentration versus time curve to 49 hours [AUC(0-49)] of itraconazole was 46% lower ( P < .001) during the gemfibrozil-itraconazole phase than during the itraconazole phase. CONCLUSIONS: Gemfibrozil elevates the plasma concentrations of pioglitazone, probably by inhibition of its CYP2C8-mediated metabolism. CYP2C8 appears to be of major importance and CYP3A4 of minor importance in pioglitazone metabolism in vivo in humans. Concomitant use of gemfibrozil with pioglitazone may increase the effects and risk of dose-related adverse effects of pioglitazone. However, studies in diabetic patients are needed to determine the clinical significance of the gemfibrozil-pioglitazone interaction.
Abstract: AIMS: The effect of enzyme induction on the pharmacokinetics of pioglitazone, a thiazolidinedione antidiabetic drug that is metabolized primarily by CYP2C8, is not known. Rifampicin is a potent inducer of several CYP enzymes and our objective was to study its effects on the pharmacokinetics of pioglitazone in humans. METHODS: In a randomized, two-phase crossover study, ten healthy subjects ingested either 600 mg rifampicin or placebo once daily for 6 days. On the last day, they received a single oral dose of 30 mg pioglitazone. The plasma concentrations and cumulative excretion of pioglitazone and its active metabolites M-IV and M-III into urine were measured up to 48 h. RESULTS: Rifampicin decreased the mean total area under the plasma concentration-time curve (AUC(0-infinity)) of pioglitazone by 54% (range 20-66%; P = 0.0007; 95% confidence interval -78 to -30%) and shortened its dominant elimination half-life (t(1/2)) from 4.9 to 2.3 h (P = 0.0002). No significant effect on peak concentration (C(max)) or time to peak (t(max)) was observed. Rifampicin increased the apparent formation rate of M-IV and shortened its t(max) (P < 0.01). It also decreased the AUC(0-infinity) of M-IV (by 34%; P = 0.0055) and M-III (by 39%; P = 0.0026), shortened their t1/2 (M-IV by 50%; P = 0.0008, and M-III by 55%; P = 0.0016) and increased the AUC(0-infinity) ratios of M-IV and M-III to pioglitazone by 44% (P = 0.0011) and 32% (P = 0.0027), respectively. Rifampicin increased the M-IV/pioglitazone and M-III/pioglitazone ratios in urine by 98% (P = 0.0015) and 95% (P = 0.0024). A previously unrecognized metabolite M-XI, tentatively identified as a dihydroxy metabolite, was detected in urine during both phases, and rifampicin increased the ratio of M-XI to pioglitazone by 240% (P = 0.0020). CONCLUSIONS: Rifampicin caused a substantial decrease in the plasma concentration of pioglitazone, probably by induction of CYP2C8. Concomitant use of rifampicin with pioglitazone may decrease the efficacy of the latter drug.
Abstract: BACKGROUND AND OBJECTIVES: In vivo inhibition of cytochrome P450 (CYP) 1A2 by fluvoxamine causes a reduction in the clearance of the high-extraction drug lidocaine, which decreases in proportion to the degree of liver dysfunction. The objectives of this study were (1) to evaluate the effect of liver cirrhosis on the inhibition by fluvoxamine of the metabolic disposition of theophylline, a CYP1A2 substrate with a low-extraction ratio, to assess whether decreased sensitivity to CYP1A2 inhibition in liver disease is a general characteristic of CYP1A2 substrates, regardless of their pharmacokinetic properties, and (2) to investigate the mechanism(s) underlying the effect of liver dysfunction on CYP1A2 inhibition. METHODS: The study was carried out in 10 healthy volunteers and 20 patients with cirrhosis, 10 with mild liver dysfunction (Child class A) and 10 with severe liver dysfunction (Child class C), according to a randomized, double-blind, 2-phase, crossover design. In one phase all participants received placebo for 7 days; in the other phase they received one 50-mg fluvoxamine dose for 2 days and two 50-mg fluvoxamine doses, 12 hours apart, in the next 5 days. On day 6, 4 mg/kg of theophylline was administered orally 1 hour after the morning fluvoxamine dose. Concentrations of theophylline and its metabolites, 3-methylxanthine, 1-methyluric acid, and 1,3-dimethyluric acid, were then measured in plasma and urine up to 48 hours. RESULTS: Fluvoxamine-induced inhibition of theophylline clearance decreased from 62% in healthy subjects to 52% and 12% in patients with mild cirrhosis and those with severe cirrhosis, respectively. CYP1A2-mediated formations of 3-methylxanthine and 1-methyluric acid were almost totally inhibited in control subjects, whereas they were only reduced by one third in patients with Child class C cirrhosis. Inhibition of 1,3-dimethyluric acid formation, which is catalyzed by CYP1A2 and CYP2E1, progressively decreased from 58% in healthy subjects to 43% and 7% in patients with mild cirrhosis and those with severe cirrhosis, respectively. CONCLUSIONS: The effect of liver dysfunction on the inhibition of CYP1A2-mediated drug elimination is a general phenomenon, independent of the pharmacokinetic characteristics of the CYP1A2 substrate. Therefore, for any drug metabolized by CYP1A2, the clinical consequences of enzyme inhibition are expected to become less and less important as liver function worsens. Two mechanisms, as follows in order of importance, are responsible for the effect of liver dysfunction: (1) decreased sensitivity to fluvoxamine of CYP1A2-mediated biotransformations in the cirrhotic liver, probably resulting from reduced uptake of the inhibitory drug, and (2) reduced hepatic expression of CYP1A2, which makes its contribution to overall drug elimination less important.
Abstract: Anticholinergic Drug Scale (ADS) scores were previously associated with serum anticholinergic activity (SAA) in a pilot study. To replicate these results, the association between ADS scores and SAA was determined using simple linear regression in subjects from a study of delirium in 201 long-term care facility residents who were not included in the pilot study. Simple and multiple linear regression models were then used to determine whether the ADS could be modified to more effectively predict SAA in all 297 subjects. In the replication analysis, ADS scores were significantly associated with SAA (R2 = .0947, P < .0001). In the modification analysis, each model significantly predicted SAA, including ADS scores (R2 = .0741, P < .0001). The modifications examined did not appear useful in optimizing the ADS. This study replicated findings on the association of the ADS with SAA. Future work will determine whether the ADS is clinically useful for preventing anticholinergic adverse effects.
Abstract: We studied the effects of the CYP2C8 inhibitor trimethoprim and CYP2C8 genotype on the pharmacokinetics of the antidiabetic pioglitazone. In a randomized crossover study, 16 healthy volunteers with the CYP2C8(*)1/(*)1 (n = 8), (*)1/(*)3 (n = 5), or (*)3/(*)3 (n = 3) genotype ingested 160 mg of trimethoprim or placebo twice daily for 6 days. On day 3, they ingested 15 mg of pioglitazone. The effects of trimethoprim on pioglitazone were characterized in vitro. Trimethoprim raised the area under the plasma pioglitazone concentration-time curve (AUC(0-infinity)) by 42% (p < 0.001) and decreased the formation rates of pioglitazone metabolites M-IV and M-III (p < 0.001). During the placebo phase, the weight-adjusted AUC(0-infinity) of pioglitazone was 34% smaller in the CYP2C8(*)3/(*)3 group and 26% smaller in the CYP2C8(*)1/(*)3 group than in the CYP2C8(*)1/(*)1 group (p < 0.05). Trimethoprim inhibited M-IV formation in vitro (inhibition constant 38.2 muM), predicting the in vivo interaction. In conclusion, drug interactions and pharmacogenetics affecting the CYP2C8 enzyme may change the safety of pioglitazone.
Abstract: BACKGROUND: Adverse effects of anticholinergic medications may contribute to events such as falls, delirium, and cognitive impairment in older patients. To further assess this risk, we developed the Anticholinergic Risk Scale (ARS), a ranked categorical list of commonly prescribed medications with anticholinergic potential. The objective of this study was to determine if the ARS score could be used to predict the risk of anticholinergic adverse effects in a geriatric evaluation and management (GEM) cohort and in a primary care cohort. METHODS: Medical records of 132 GEM patients were reviewed retrospectively for medications included on the ARS and their resultant possible anticholinergic adverse effects. Prospectively, we enrolled 117 patients, 65 years or older, in primary care clinics; performed medication reconciliation; and asked about anticholinergic adverse effects. The relationship between the ARS score and the risk of anticholinergic adverse effects was assessed using Poisson regression analysis. RESULTS: Higher ARS scores were associated with increased risk of anticholinergic adverse effects in the GEM cohort (crude relative risk [RR], 1.5; 95% confidence interval [CI], 1.3-1.8) and in the primary care cohort (crude RR, 1.9; 95% CI, 1.5-2.4). After adjustment for age and the number of medications, higher ARS scores increased the risk of anticholinergic adverse effects in the GEM cohort (adjusted RR, 1.3; 95% CI, 1.1-1.6; c statistic, 0.74) and in the primary care cohort (adjusted RR, 1.9; 95% CI, 1.5-2.5; c statistic, 0.77). CONCLUSION: Higher ARS scores are associated with statistically significantly increased risk of anticholinergic adverse effects in older patients.
Abstract: BACKGROUND: Non-alcoholic steatohepatitis (NASH) is a common liver disease associated with obesity and diabetes. NASH is a progressive disorder that can lead to cirrhosis and liver failure. Insulin resistance and oxidative stress are thought to play important roles in its pathogenesis. There is no definitive treatment for NASH. OBJECTIVES: PIVENS is conducted to test the hypotheses that treatment with pioglitazone, a thiazolidinedione insulin sensitizer, or vitamin E, a naturally available antioxidant, will lead to improvement in hepatic histology in non-diabetic adults with biopsy proven NASH. DESIGN: PIVENS is a randomized, multicenter, double-masked, placebo-controlled trial to evaluate whether 96 weeks of treatment with pioglitazone or vitamin E improves hepatic histology in non-diabetic adults with NASH compared to treatment with placebo. Before and post-treatment liver biopsies are read centrally in a masked fashion for an assessment of steatohepatitis and a NAFLD Activity Score (NAS) consisting of steatosis, lobular inflammation, and hepatocyte ballooning. The primary outcome measure is defined as either an improvement in NAS by 2 or more in at least two NAS features, or a post-treatment NAS of 3 or less, and improvement in hepatocyte ballooning by 1 or more, and no worsening of fibrosis. METHODS: PIVENS enrollment started in January 2005 and ended in January 2007 with 247 patients randomized to receive either pioglitazone (30 mg q.d.), vitamin E (800 IU q.d.), or placebo for 96 weeks. Participants will be followed for an additional 24 weeks after stopping the treatment. The study protocol incorporates the use of several validated questionnaires and specimen banking. This protocol was approved by all participating center Institutional Review Boards (IRBs) and an independent Data and Safety Monitoring Board (DSMB) which was established for monitoring the accumulated interim data as the trial progresses to ensure patient safety and to review efficacy as well as the quality of data collection and overall study management. (ClinicalTrials.gov number, NCT00063622).
Abstract: BACKGROUND: Methadone plasma concentrations are decreased by nelfinavir. Methadone clearance and the drug interactions have been attributed to CYP3A4, but actual mechanisms of methadone clearance and the nelfinavir interaction are unknown. We assessed nelfinavir effects on methadone pharmacokinetics and pharmacodynamics, intestinal and hepatic CYP3A4/5 activity, and intestinal P-glycoprotein transport activity. CYP3A4/5 and transporters were assessed using alfentanil and fexofenadine, respectively. METHODS: Twelve healthy HIV-negative volunteers underwent a sequential crossover. On three consecutive days they received oral alfentanil plus fexofenadine, intravenous alfentanil, and intravenous plus oral methadone. This was repeated after nelfinavir. Plasma and urine analytes were measured by mass spectrometry. Opioid effects were measured by pupil diameter change (miosis). RESULTS: Nelfinavir decreased intravenous and oral methadone plasma concentrations 40-50%. Systemic clearance, hepatic clearance, and hepatic extraction all increased 1.6- and 2-fold, respectively, for R- and S-methadone; apparent oral clearance increased 1.7- and 1.9-fold. Nelfinavir stereoselectively increased (S>R) methadone metabolism and metabolite formation clearance, and methadone renal clearance. Methadone bioavailability and P-glycoprotein activity were minimally affected. Nelfinavir decreased alfentanil systemic and apparent oral clearances 50 and 76%, respectively. Nelfinavir appeared to shift the methadone plasma concentration-effect (miosis) curve leftward and upward. CONCLUSIONS: Nelfinavir induced methadone clearance by increasing renal clearance, and more so by stereoselectively increasing hepatic metabolism, extraction and clearance. Induction occurred despite 50% inhibition of hepatic CYP3A4/5 activity and more than 75% inhibition of first-pass CYP3A4/5 activity, suggesting little or no role for CYP3A in clinical methadone disposition. Nelfinavir may alter methadone pharmacodynamics, increasing clinical effects.
Abstract: BACKGROUND: Anticholinergic drugs are often involved in explicit criteria for inappropriate prescribing in older adults. Several scales were developed for screening of anticholinergic drugs and estimation of the anticholinergic burden. However, variation exists in scale development, in the selection of anticholinergic drugs, and the evaluation of their anticholinergic load. This study aims to systematically review existing anticholinergic risk scales, and to develop a uniform list of anticholinergic drugs differentiating for anticholinergic potency. METHODS: We performed a systematic search in MEDLINE. Studies were included if provided (1) a finite list of anticholinergic drugs; (2) a grading score of anticholinergic potency and, (3) a validation in a clinical or experimental setting. We listed anticholinergic drugs for which there was agreement in the different scales. In case of discrepancies between scores we used a reputed reference source (Martindale: The Complete Drug Reference®) to take a final decision about the anticholinergic activity of the drug. RESULTS: We included seven risk scales, and evaluated 225 different drugs. Hundred drugs were listed as having clinically relevant anticholinergic properties (47 high potency and 53 low potency), to be included in screening software for anticholinergic burden. CONCLUSION: Considerable variation exists among anticholinergic risk scales, in terms of selection of specific drugs, as well as of grading of anticholinergic potency. Our selection of 100 drugs with clinically relevant anticholinergic properties needs to be supplemented with validated information on dosing and route of administration for a full estimation of the anticholinergic burden in poly-medicated older adults.
Abstract: Pioglitazone is the most widely used thiazolidinedione and acts as an insulin-sensitizer through activation of the Peroxisome Proliferator-Activated Receptor-γ (PPARγ). Pioglitazone is approved for use in the management of type 2 diabetes mellitus (T2DM), but its use in other therapeutic areas is increasing due to pleiotropic effects. In this hypothesis article, the current clinical evidence on pioglitazone pharmacogenomics is summarized and related to variability in pioglitazone response. How genetic variation in the human genome affects the pharmacokinetics and pharmacodynamics of pioglitazone was examined. For pharmacodynamic effects, hypoglycemic and anti-atherosclerotic effects, risks of fracture or edema, and the increase in body mass index in response to pioglitazone based on genotype were examined. The genes CYP2C8 and PPARG are the most extensively studied to date and selected polymorphisms contribute to respective variability in pioglitazone pharmacokinetics and pharmacodynamics. We hypothesized that genetic variation in pioglitazone pathway genes contributes meaningfully to the clinically observed variability in drug response. To test the hypothesis that genetic variation in PPARG associates with variability in pioglitazone response, we conducted a meta-analysis to synthesize the currently available data on the PPARG p.Pro12Ala polymorphism. The results showed that PPARG 12Ala carriers had a more favorable change in fasting blood glucose from baseline as compared to patients with the wild-type Pro12Pro genotype (p = 0.018). Unfortunately, findings for many other genes lack replication in independent cohorts to confirm association; further studies are needed. Also, the biological functionality of these polymorphisms is unknown. Based on current evidence, we propose that pharmacogenomics may provide an important tool to individualize pioglitazone therapy and better optimize therapy in patients with T2DM or other conditions for which pioglitazone is being used.
Abstract: Pioglitazone is a thiazolidinedione antidiabetic with actions similar to those of rosiglitazone. It is used in the management of type 2 diabetes mellitus and is prepared by reducing 5-[4-[2-(5-ethyl-2-pyridyl)ethoxy]benzilidene]-2,4-thiazolidinedione with sodium borohydride in the presence of a cobalt ion and dimethyl glyoxime. Ultraviolet spectroscopy shows maximum absorption at 270nm. Infrared spectroscopy shows principal peaks at wave numbers 3082, 2964, 1736, 1690, 1472, 1331, 1254, 1040, 841, 728cm(-1) (KBr disk). The determination method by high-performance liquid chromatography was linear over the range of 25-1500ng/mL of pioglitazone in plasma (r(2)>0.999). The within- and between-day precision values were in the range of 2.4-6.8%. The limit of quantitation of the method was 25ng/mL. It is well absorbed with a mean absolute bioavailability of 83% and reaching maximum concentrations in around 1.5h. It is metabolized by the hepatic cytochrome P450 enzyme system. Following oral administration, approximately 15-30% of the pioglitazone dose is recovered in the urine. Renal elimination of pioglitazone is negligible, and the drug is excreted primarily as metabolites and their conjugates. It is presumed that most of the oral dose is excreted into the bile either unchanged or as metabolites and eliminated in the feces.
Abstract: Abiraterone acetate, the prodrug of the cytochrome P450 C17 inhibitor abiraterone, plus prednisone is approved for treatment of metastatic castration-resistant prostate cancer. We explored whether abiraterone interacts with drugs metabolized by CYP2C8, an enzyme responsible for the metabolism of many drugs. Abiraterone acetate and abiraterone and its major metabolites, abiraterone sulfate and abiraterone sulfate N-oxide, inhibited CYP2C8 in human liver microsomes, with IC50 values near or below the peak total concentrations observed in patients with metastatic castration-resistant prostate cancer (IC50 values: 1.3-3.0 µM, 1.6-2.9 µM, 0.044-0.15 µM, and 5.4-5.9 µM, respectively). CYP2C8 inhibition was reversible and time-independent. To explore the clinical relevance of the in vitro data, an open-label, single-center study was conducted comprising 16 healthy male subjects who received a single 15-mg dose of the CYP2C8 substrate pioglitazone on day 1 and again 1 hour after the administration of abiraterone acetate 1000 mg on day 8. Plasma concentrations of pioglitazone, its active M-III (keto derivative) and M-IV (hydroxyl derivative) metabolites, and abiraterone were determined for up to 72 hours after each dose. Abiraterone acetate increased exposure to pioglitazone; the geometric mean ratio (day 8/day 1) was 125 [90% confidence interval (CI), 99.9-156] for Cmax and 146 (90% CI, 126-171) for AUClast Exposure to M-III and M-IV was reduced by 10% to 13%. Plasma abiraterone concentrations were consistent with previous studies. These results show that abiraterone only weakly inhibits CYP2C8 in vivo.
Abstract: Transporters in proximal renal tubules contribute to the disposition of numerous drugs. Furthermore, the molecular mechanisms of tubular secretion have been progressively elucidated during the past decades. Organic anions tend to be secreted by the transport proteins OAT1, OAT3 and OATP4C1 on the basolateral side of tubular cells, and multidrug resistance protein (MRP) 2, MRP4, OATP1A2 and breast cancer resistance protein (BCRP) on the apical side. Organic cations are secreted by organic cation transporter (OCT) 2 on the basolateral side, and multidrug and toxic compound extrusion (MATE) proteins MATE1, MATE2/2-K, P-glycoprotein, organic cation and carnitine transporter (OCTN) 1 and OCTN2 on the apical side. Significant drug-drug interactions (DDIs) may affect any of these transporters, altering the clearance and, consequently, the efficacy and/or toxicity of substrate drugs. Interactions at the level of basolateral transporters typically decrease the clearance of the victim drug, causing higher systemic exposure. Interactions at the apical level can also lower drug clearance, but may be associated with higher renal toxicity, due to intracellular accumulation. Whereas the importance of glomerular filtration in drug disposition is largely appreciated among clinicians, DDIs involving renal transporters are less well recognized. This review summarizes current knowledge on the roles, quantitative importance and clinical relevance of these transporters in drug therapy. It proposes an approach based on substrate-inhibitor associations for predicting potential tubular-based DDIs and preventing their adverse consequences. We provide a comprehensive list of known drug interactions with renally-expressed transporters. While many of these interactions have limited clinical consequences, some involving high-risk drugs (e.g. methotrexate) definitely deserve the attention of prescribers.
Abstract: BACKGROUND: Drug-drug interactions (DDIs) and drug-gene interactions (DGIs) pose a serious health risk that can be avoided by dose adaptation. These interactions are investigated in strictly controlled setups, quantifying the effect of one perpetrator drug or polymorphism at a time, but in real life patients frequently take more than two medications and are very heterogenous regarding their genetic background. OBJECTIVES: The first objective of this study was to provide whole-body physiologically based pharmacokinetic (PBPK) models of important cytochrome P450 (CYP) 2C8 perpetrator and victim drugs, built and evaluated for DDI and DGI studies. The second objective was to apply these models to describe complex interactions with more than two interacting partners. METHODS: PBPK models of the CYP2C8 and organic-anion-transporting polypeptide (OATP) 1B1 perpetrator drug gemfibrozil (parent-metabolite model) and the CYP2C8 victim drugs repaglinide (also an OATP1B1 substrate) and pioglitazone were developed using a total of 103 clinical studies. For evaluation, these models were applied to predict 34 different DDI studies, establishing a CYP2C8 and OATP1B1 PBPK DDI modeling network. RESULTS: The newly developed models show a good performance, accurately describing plasma concentration-time profiles, area under the plasma concentration-time curve (AUC) and maximum plasma concentration (C,) values, DDI studies as well as DGI studies. All 34 of the modeled DDI AUC ratios (AUC during DDI/AUC control) and DDI C,ratios (C,during DDI/C,control) are within twofold of the observed values. CONCLUSIONS: Whole-body PBPK models of gemfibrozil, repaglinide, and pioglitazone have been built and qualified for DDI and DGI prediction. PBPK modeling is applicable to investigate complex interactions between multiple drugs and genetic polymorphisms.