Extensión de tiempo QT
Efectos adversos de las drogas
|Infeccion de las vias respiratorias altas|
|Dolor de cabeza|
Variantes ✨Para la evaluación computacionalmente intensiva de las variantes, elija la suscripción estándar paga.
Áreas de aplicación
Explicaciones para pacientes
No tenemos advertencias adicionales para la combinación de aliskiren, pioglitazona y ketoconazol. Consulte también la información especializada pertinente.
Los cambios en la exposición mencionados se refieren a cambios en la curva de concentración plasmática-tiempo [AUC]. La exposición a aliskiren aumenta al 201%, cuando se combina con pioglitazona (103%) y ketoconazol (234%). Esto puede provocar un aumento de los efectos secundarios. La exposición a pioglitazona aumenta al 123%, cuando se combina con aliskiren (100%) y ketoconazol (123%). La exposición a ketoconazol se reduce al 84%. cuando se combina con aliskiren (100%) y pioglitazona (84%).
Los parámetros farmacocinéticos de la población media se utilizan como punto de partida para calcular los cambios individuales en la exposición debidos a las interacciones.
La aliskiren tiene una baja biodisponibilidad oral [ F ] del 3%, por lo que el nivel plasmático máximo [Cmax] tiende a cambiar fuertemente con una interacción. La vida media terminal [ t12 ] es bastante larga a las 26 horas y los niveles plasmáticos constantes [ Css ] solo se alcanzan después de más de 104 horas. La unión a proteínas [ Pb ] es bastante débil al 49% y el volumen de distribución [ Vd ] es muy grande a 133 litros. Dado que la sustancia tiene una tasa de extracción hepática baja de 0,9, el desplazamiento de la unión a proteínas [Pb] en el contexto de una interacción puede aumentar la exposición. Aproximadamente el 23.0% de la dosis administrada se excreta inalterada a través de los riñones y esta proporción rara vez se modifica por las interacciones. El metabolismo tiene lugar principalmente a través de CYP3A4. y el transporte activo se realiza en parte a través de OATP1A2, OATP2B1 y PGP.
La pioglitazona tiene una alta biodisponibilidad oral [ F ] del 83%, por lo que los niveles plasmáticos máximos [Cmax] tienden a cambiar poco durante una interacción. La vida media terminal [ t12 ] es de 8.3 horas y se alcanzan niveles plasmáticos constantes [ Css ] después de aproximadamente 33.2 horas. La unión a proteínas [ Pb ] es muy fuerte al 99% y el volumen de distribución [ Vd ] es de 36 litros en el rango medio, El metabolismo tiene lugar a través de CYP2C19, CYP2C8 y CYP3A4, entre otros..
La ketoconazol tiene una biodisponibilidad oral media [ F ] del 67%, por lo que los niveles plasmáticos máximos [Cmax] tienden a cambiar con una interacción. La vida media terminal [ t12 ] es bastante corta a las 5 horas y se alcanzan rápidamente niveles plasmáticos constantes [ Css ]. La unión a proteínas [ Pb ] es moderadamente fuerte al 91.5% y el volumen de distribución [ Vd ] es muy grande a 84 litros, Dado que la sustancia tiene una tasa de extracción hepática baja de 0,9, el desplazamiento de la unión a proteínas [Pb] en el contexto de una interacción puede aumentar la exposición. El metabolismo tiene lugar principalmente a través de CYP3A4. y el transporte activo tiene lugar en particular a través de PGP.
|Efectos serotoninérgicos a||0||Ø||Ø||Ø|
Clasificación: Según nuestro conocimiento, ni la aliskiren, pioglitazona ni la ketoconazol aumentan la actividad serotoninérgica.
|Kiesel & Durán b||0||Ø||Ø||Ø|
Clasificación: Según nuestros hallazgos, ni la aliskiren, pioglitazona ni la ketoconazol aumentan la actividad anticolinérgica.
Extensión de tiempo QT
Recomendación: Asegúrese de minimizar los factores de riesgo influibles. Las alteraciones electrolíticas, como los bajos niveles de calcio, potasio y magnesio, deben compensarse. Se debe usar la dosis efectiva más baja de ketoconazol.
Clasificación: La ketoconazol puede prolongar potencialmente el tiempo QT y, si hay factores de riesgo, se pueden favorecer las arritmias del tipo torsades de pointes. No conocemos ningún potencial de prolongación del intervalo QT para aliskiren y pioglitazona.
Efectos secundarios generales
|Efectos secundarios||∑ frecuencia||ali||pio||ket|
|Infeccion de las vias respiratorias altas||13.2 %||n.a.||13.2||n.a.|
|Dolor de cabeza||4.3 %||4.3↑||n.a.||n.a.|
|Aumento de la creatinina sérica||1.0 %||+||n.a.||n.a.|
|Sensacion de quemarse||1.0 %||n.a.||n.a.||+|
Insuficiencia suprarrenal: ketoconazol
Aumento de peso: pioglitazona
Visión borrosa: pioglitazona
Edema macular: pioglitazona
Arritmia ventricular: ketoconazol
Insuficiencia cardiaca: pioglitazona
Síndrome de Stevens-Johnson: aliskiren
Necrolisis epidérmica toxica: aliskiren
Reacciones alérgicas de la piel: aliskiren
Reacción de hipersensibilidad: ketoconazol
Insuficiencia renal: aliskiren
Con base en sus
Referencias de literatura
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: Ketoconazole is not known to be proarrhythmic without concomitant use of QT interval-prolonging drugs. We report a woman with coronary artery disease who developed a markedly prolonged QT interval and torsades de pointes (TdP) after taking ketoconazole for treatment of fungal infection. Her QT interval returned to normal upon withdrawal of ketoconazole. Genetic study did not find any mutation in her genes that encode cardiac IKr channel proteins. We postulate that by virtue of its direct blocking action on IKr, ketoconazole alone may prolong QT interval and induce TdP. This calls for attention when ketoconazole is administered to patients with risk factors for acquired long QT syndrome.
Abstract: OBJECTIVE: To investigate the effect of efavirenz on the ketoconazole pharmacokinetics in HIV-infected patients. METHODS: Twelve HIV-infected patients were assigned into a one-sequence, two-period pharmacokinetic interaction study. In phase one, the patients received 400 mg of ketoconazole as a single oral dose on day 1; in phase two, they received 600 mg of efavirenz once daily in combination with 150 mg of lamivudine and 30 or 40 mg of stavudine twice daily on days 2 to 16. On day 16, 400 mg of ketoconazole was added to the regimen as a single oral dose. Ketoconazole pharmacokinetics were studied on days 1 and 16. RESULTS: Pretreatment with efavirenz significantly increased the clearance of ketoconazole by 201%. C(max) and AUC(0-24) were significantly decreased by 44 and 72%, respectively. The T ((1/2)) was significantly shorter by 58%. CONCLUSION: Efavirenz has a strong inducing effect on the metabolism of ketoconazole.
Abstract: BACKGROUND: Aliskiren is an orally active direct renin inhibitor approved for the treatment of hypertension. This study assessed the effects of renal impairment on the pharmacokinetics and safety of aliskiren alone and in combination with the angiotensin receptor antagonist irbesartan. METHODS: This open-label study enrolled 17 males with mild, moderate or severe renal impairment (creatinine clearance [CL(CR)] 50-80, 30-49 and <30 mL/minute, respectively) and 17 healthy males matched for age and bodyweight. Subjects received oral aliskiren 300 mg once daily on days 1-7 and aliskiren coadministered with irbesartan 300 mg on days 8-14. Plasma aliskiren concentrations were determined by high-performance liquid chromatography/tandem mass spectrometry at frequent intervals up to 24 hours after dosing on days 1, 7 and 14. RESULTS: Renal clearance of aliskiren averaged 1280 +/- 500 mL/hour (mean +/- SD) in healthy subjects and 559 +/- 220, 312 +/- 75 and 243 +/- 186 mL/hour in patients with mild, moderate and severe renal impairment, respectively. At steady state (day 7), the geometric mean ratios (renal impairment : matched healthy volunteers) ranged from 1.21 to 2.05 for the area under the plasma concentration-time curve (AUC) over the dosage interval tau (24h) [AUC(tau)]) and from 0.83 to 2.25 for the maximum observed plasma concentration of aliskiren at steady state. Changes in exposure did not correlate with CL(CR), consistent with an effect of renal impairment on non-renal drug disposition. The observed large intersubject variability in aliskiren pharmacokinetic parameters was unrelated to the degree of renal impairment. Accumulation of aliskiren at steady state (indicated by the AUC from 0 and 24 hours [AUC(24)] on day 7 vs day 1) was similar in healthy subjects (1.79 [95% CI 1.24, 2.60]) and those with renal impairment (range 1.39-1.99). Coadministration with irbesartan did not alter the pharmacokinetics of aliskiren. Aliskiren was well tolerated when administered alone or with irbesartan. CONCLUSIONS: Exposure to aliskiren is increased by renal impairment but does not correlate with the severity of renal impairment (CL(CR)). This is consistent with previous data indicating that renal clearance of aliskiren represents only a small fraction of total clearance. Initial dose adjustment of aliskiren is unlikely to be required in patients with renal impairment.
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: AIMS: To investigate the interaction between ketoconazole and darunavir (alone and in combination with low-dose ritonavir), in HIV-healthy volunteers. METHODS: Volunteers received darunavir 400 mg bid and darunavir 400 mg bid plus ketoconazole 200 mg bid, in two sessions (Panel 1), or darunavir/ritonavir 400/100 mg bid, ketoconazole 200 mg bid and darunavir/ritonavir 400/100 mg bid plus ketoconazole 200 mg bid, over three sessions (Panel 2). Treatments were administered with food for 6 days. Steady-state pharmacokinetics following the morning dose on day 7 were compared between treatments. Short-term safety and tolerability were assessed. RESULTS: Based on least square means ratios (90% confidence intervals), during darunavir and ketoconazole co-administration, darunavir area under the curve (AUC(12h)), maximum plasma concentration (C(max)) and minimum plasma concentration (C(min)) increased by 155% (80, 261), 78% (28, 147) and 179% (58, 393), respectively, compared with treatment with darunavir alone. Darunavir AUC(12h), C(max) and C(min) increased by 42% (23, 65), 21% (4, 40) and 73% (39, 114), respectively, during darunavir/ritonavir and ketoconazole co-administration, relative to darunavir/ritonavir treatment. Ketoconazole pharmacokinetics was unchanged by co-administration with darunavir alone. Ketoconazole AUC(12h), C(max) and C(min) increased by 212% (165, 268), 111% (81, 144) and 868% (544, 1355), respectively, during co-administration with darunavir/ritonavir compared with ketoconazole alone. CONCLUSIONS: The increase in darunavir exposure by ketoconazole was lower than that observed previously with ritonavir. A maximum ketoconazole dose of 200 mg day(-1) is recommended if used concomitantly with darunavir/ritonavir, with no dose adjustments for darunavir/ritonavir.
Abstract: This study investigated the potential pharmacokinetic interaction between the direct renin inhibitor aliskiren and modulators of P-glycoprotein and cytochrome P450 3A4 (CYP3A4). Aliskiren stimulated in vitro P-glycoprotein ATPase activity in recombinant baculovirus-infected Sf9 cells with high affinity (K(m) 2.1 micromol/L) and was transported by organic anion-transporting peptide OATP2B1-expressing HEK293 cells with moderate affinity (K(m) 72 micromol/L). Three open-label, multiple-dose studies in healthy subjects investigated the pharmacokinetic interactions between aliskiren 300 mg and digoxin 0.25 mg (n = 22), atorvastatin 80 mg (n = 21), or ketoconazole 200 mg bid (n = 21). Coadministration with aliskiren resulted in changes of <30% in AUC(tau) and C(max,ss) of digoxin, atorvastatin, o-hydroxy-atorvastatin, and rho-hydroxy-atorvastatin, indicating no clinically significant interaction with P-glycoprotein or CYP3A4 substrates. Aliskiren AUC(tau) was significantly increased by coadministration with atorvastatin (by 47%, P < .001) or ketoconazole (by 76%, P < .001) through mechanisms most likely involving transporters such as P-glycoprotein and organic anion-transporting peptide and possibly through metabolic pathways such as CYP3A4 in the gut wall. These results indicate that aliskiren is a substrate for but not an inhibitor of P-glycoprotein. On the basis of the small changes in exposure to digoxin and atorvastatin and the <2-fold increase in exposure to aliskiren during coadministration with atorvastatin and ketoconazole, the authors conclude that the potential for clinically relevant drug interactions between aliskiren and these substrates and/or inhibitors of P-glycoprotein/CPY3A4/OATP is low.
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: This 12-week, multicenter, open-label study assessed the efficacy, pharmacokinetics and safety of a once-daily aliskiren in Japanese hypertensive patients with renal dysfunction. Patients (n=40, aged 20-80 years) with mean sitting diastolic blood pressure (msDBP) >or=95 and <110 mm Hg and serum creatinine between >or=1.3 and <3.0 mg per 100 ml in males or between >or=1.2 and <3.0 mg per 100 ml in females were eligible. Patients began therapy with a once-daily morning oral dose of 75 mg of aliskiren. In patients with inadequate blood pressure control (msDBP >or=90 or mean sitting systolic blood pressure [msSBP] >or=140 mm Hg) and without safety concerns (serum potassium >5.5 mEq l(-1) or an increase in serum creatinine >or=20%), the aliskiren dose was increased to 150 mg and then to 300 mg in sequential steps starting from Week 2. Efficacy was assessed as change in msSBP/msDBP from baseline to the Week 8 endpoint (with the last observation carried forward). The mean reduction from baseline to Week 8 endpoint was 13.9+/-16.6 and 11.6+/-9.7 mm Hg for msSBP and msDBP, respectively. At the Week 8 endpoint, 65% patients had achieved blood pressure response (msDBP <90 or a 10 mm Hg decrease or msSBP <140 or a 20 mm Hg decrease) and 30% had achieved blood pressure control (msSBP <140 mm Hg and msDBP <90 mm Hg). Aliskiren was well tolerated with no new safety concerns in Japanese hypertensive patients with renal dysfunction.
Abstract: In a randomized crossover study, 11 healthy volunteers took 100 mg (first dose 200 mg) of the antifungal drug itraconazole, a P-glycoprotein and CYP3A4 inhibitor, or placebo twice daily for 5 days. On day 3, they ingested a single 150-mg dose of aliskiren, a renin inhibitor used in the treatment of hypertension. Itraconazole raised the peak plasma aliskiren concentration 5.8-fold (range, 1.1- to 24.3-fold; P < .001) and the area under the plasma aliskiren concentration-time curve 6.5-fold (range, 2.6- to 20.5-fold; P < .001) but had no significant effect on aliskiren elimination half-life. Itraconazole increased the amount of aliskiren excreted into the urine during 12 hours 8.0-fold (P < .001) and its renal clearance 1.2-fold (P = .042). Plasma renin activity 24 hours after aliskiren intake was 68% lower during the itraconazole phase than during the placebo phase (P = .011). In conclusion, itraconazole markedly raises the plasma concentrations and enhances the renin-inhibiting effect of aliskiren. The interaction is probably mainly explained by inhibition of the P-glycoprotein-mediated efflux of aliskiren in the small intestine, with a minor contribution from inhibition of CYP3A4. Concomitant use of aliskiren and itraconazole is best avoided.
Abstract: The authors describe the drug-drug interaction between aliskiren and verapamil in healthy participants. Eighteen participants first received an oral dose of aliskiren 300 mg (highest recommended clinical dose) in period 1. After a 10-day washout period, the participants received verapamil 240 mg/d for 8 days (period 2). On day 8, the participants also received an oral dose of aliskiren 300 mg. Safety and pharmacokinetic analyses were performed during each treatment period. Concomitant administration of a single dose of aliskiren during steady-state verapamil resulted in an increase in plasma concentration of aliskiren. The mean increase in AUC(0-∞), AUC(last), and C(max) was about 2-fold. On day 8, in the presence of aliskiren, AUC(τ,ss) of R-norverapamil, R-verapamil, S-norverapamil, and S-verapamil was decreased by 10%, 16%, 10%, and 25%, respectively. Similarly, the C(max,ss) of R-norverapamil, R-verapamil, S-norverapamil, and S-verapamil was decreased by 13%, 18%, 12%, and 24%, respectively. Aliskiren did not affect the AUC(τ,ss) ratios of R-norverapamil/R-verapamil and S-norverapamil/S-verapamil. Aliskiren administered alone or in combination with verapamil was well tolerated in healthy participants. In conclusion, no dose adjustment is necessary when aliskiren is administered with moderate ABCB1 inhibitors such as verapamil (240 mg/d).
Abstract: To explore the clinical relevance of inhibition of multidrug resistance transporter 1 and organic anion transporting polypeptide transporter, a drug-drug interaction study was conducted using aliskiren and cyclosporine. This was an open-label, single-sequence, parallel-group, single-dose study in healthy subjects. Subjects (n = 14) first received aliskiren 75 mg orally (period 1), followed by aliskiren 75 mg + cyclosporine 200 mg (period 2) after a 7-day washout period, and aliskiren 75 mg + cyclosporine 600 mg (period 3) after a 14-day washout period. Safety and pharmacokinetics were analyzed during each period. The primary objective was to characterize pharmacokinetics of aliskiren (single-dose and combination with cyclosporine). The increases in area under the time-concentration curve from time 0 to infinity and maximum concentration associated with cyclosporine 200 mg or 600 mg were 4- to 5-fold and 2.5-fold, respectively. Mean half-life increased from 25 to 45 hours. Based on comparison to literature, a single-dose of aliskiren 75 mg did not alter the pharmacokinetics of cyclosporine. Aliskiren 75 mg was well tolerated. Combination with cyclosporine increased the number of adverse events, mainly hot flush and gastrointestinal symptoms, with no serious adverse events. Two adverse events led to withdrawal (ligament rupture, not suspected to be study-drug related; and vomiting, suspected to be study-drug related). Laboratory parameters, vital signs, and electrocardiographs showed no time- or treatment-related changes. As cyclosporine significantly altered the pharmacokinetics of aliskiren in humans, its use with aliskiren is not recommended.
Abstract: The human organic anion and cation transporters are classified within two SLC superfamilies. Superfamily SLCO (formerly SLC21A) consists of organic anion transporting polypeptides (OATPs), while the organic anion transporters (OATs) and the organic cation transporters (OCTs) are classified in the SLC22A superfamily. Individual members of each superfamily are expressed in essentially every epithelium throughout the body, where they play a significant role in drug absorption, distribution and elimination. Substrates of OATPs are mainly large hydrophobic organic anions, while OATs transport smaller and more hydrophilic organic anions and OCTs transport organic cations. In addition to endogenous substrates, such as steroids, hormones and neurotransmitters, numerous drugs and other xenobiotics are transported by these proteins, including statins, antivirals, antibiotics and anticancer drugs. Expression of OATPs, OATs and OCTs can be regulated at the protein or transcriptional level and appears to vary within each family by both protein and tissue type. All three superfamilies consist of 12 transmembrane domain proteins that have intracellular termini. Although no crystal structures have yet been determined, combinations of homology modelling and mutation experiments have been used to explore the mechanism of substrate recognition and transport. Several polymorphisms identified in members of these superfamilies have been shown to affect pharmacokinetics of their drug substrates, confirming the importance of these drug transporters for efficient pharmacological therapy. This review, unlike other reviews that focus on a single transporter family, briefly summarizes the current knowledge of all the functionally characterized human organic anion and cation drug uptake transporters of the SLCO and the SLC22A superfamilies.
Abstract: BACKGROUND AND OBJECTIVES: Aliskiren represents a novel class of orally active renin inhibitors. This study analyses the pharmacokinetics, tolerability and safety of single-dose aliskiren inpatients with end-stage renal disease (ESRD) undergoing haemodialysis. METHODS: Six ESRD patients and six matched healthy volunteers were enrolled in an open-label, parallel-group, single-sequence study. The ESRD patients underwent two treatment periods where 300 mg of aliskiren was administered 48 or 1 h before a standardized haemodialysis session (4 h, 1.4 m(2) high-flux filter, blood flow 300 mL/min, dialysate flow 500 mL/min). Washout was >10 days between both periods. Blood and dialysis samples were taken for up to 96 h postdose to determine aliskiren concentrations. RESULTS: Compared with the healthy subjects (1681 ± 1034 ng·h/mL), the area under the plasma concentration-time curve (AUC) from time zero to infinity was 61% (haemodialysis at 48 h) and 41% (haemodialysis at 1 h) higher in ESRD patients receiving single-dose aliskiren 300 mg. The maximum (peak) plasma drug concentration (481 ± 497 ng/mL in healthy subjects) was 17% higher (haemodialysis at 48 h) and 16% lower (haemodialysis at 1 h). In both treatment periods, dialysis clearance was below 2% of oral clearance and the mean fraction eliminated from circulation was 10 and 12% in period 1 and 2, respectively. Drug AUCs were similar in ESRD patients receiving aliskiren 1 or 48 h before dialysis. No severe adverse events occurred. CONCLUSION: The exposure of aliskiren is moderately higher in ESRD patients. Only a minor portion is removed by a typical haemodialysis session. Aliskiren exposure is not significantly affected by intermittent haemodialysis, suggesting that no dose adjustment is necessary in this population.
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: All pharmaceutical companies are required to assess pharmacokinetic drug-drug interactions (DDIs) of new chemical entities (NCEs) and mathematical prediction helps to select the best NCE candidate with regard to adverse effects resulting from a DDI before any costly clinical studies. Most current models assume that the liver is a homogeneous organ where the majority of the metabolism occurs. However, the circulatory system of the liver has a complex hierarchical geometry which distributes xenobiotics throughout the organ. Nevertheless, the lobule (liver unit), located at the end of each branch, is composed of many sinusoids where the blood flow can vary and therefore creates heterogeneity (e.g. drug concentration, enzyme level). A liver model was constructed by describing the geometry of a lobule, where the blood velocity increases toward the central vein, and by modeling the exchange mechanisms between the blood and hepatocytes. Moreover, the three major DDI mechanisms of metabolic enzymes; competitive inhibition, mechanism based inhibition and induction, were accounted for with an undefined number of drugs and/or enzymes. The liver model was incorporated into a physiological-based pharmacokinetic (PBPK) model and simulations produced, that in turn were compared to ten clinical results. The liver model generated a hierarchy of 5 sinusoidal levels and estimated a blood volume of 283 mL and a cell density of 193 × 106 cells/g in the liver. The overall PBPK model predicted the pharmacokinetics of midazolam and the magnitude of the clinical DDI with perpetrator drug(s) including spatial and temporal enzyme levels changes. The model presented herein may reduce costs and the use of laboratory animals and give the opportunity to explore different clinical scenarios, which reduce the risk of adverse events, prior to costly human clinical studies.
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.