Virtual Thorough QT (TQT) Trial-Extrapolation of In Vitro Cardiac Safety Data to In Vivo Situation Using Multi-Scale Physiologically Based Ventricular Cell-wall Model Exemplified with Tolterodine and Fesoterodine

QT interval prolongation typically assessed with dedicated clinical trials called thorough QT/QTc (TQT) studies is used as surrogate to identify the proarrhythmic risk of drugs albeit with criticism in terms of cost-effectiveness in establishing the actual risk of torsade de pointes (TdP). Quantitative systems toxicology and safety (QSTS) models have potential to quantitatively translate the in vitro cardiac safety data to clinical level including simulation of TQT trials. Virtual TQT simulations have been exemplified with use of two related drugs tolterodine and fesoterodine. The impact of bio-relevant concentration in plasma versus estimated heart tissue exposure on predictions was also assessed. Tolterodine and its therapeutically equipotent metabolite formed via CYP2D6 pathway, 5-HMT, inhibit multiple cardiac ion currents (I_Kr, I_Na, I_CaL). The QSTS model was able to accurately simulate the QT prolongation at therapeutic and supra-therapeutic dose levels of tolterodine well within 95% confidence interval limits of observed data. The model was able to predict the QT prolongation difference between CYP2D6 extensive and poor metaboliser subject groups at both dose levels thus confirming the ability of the model to account for electrophysiologically active metabolite. The QSTS model was able to simulate the negligible QT prolongation observed with fesoterodine establishing that the 5-HMT does not prolong QT interval even though it is a blocker of hERG channel. With examples of TOL and FESO, we demonstrated the utility of the QSTS approaches to simulate virtual TQT trials, which in turn could complement and reduce the clinical studies or help optimise clinical trial designs.

Physiological based pharmacokinetic modeling to estimate in vivo Ki of ketoconazole on renal P-gp using human drug-drug interaction study result of fesoterodine and ketoconazole

This study was conducted to estimate in vivo inhibition constant (Ki) of ketoconazole on renal P-glycoprotein (P-gp) using human drug-drug interaction (DDI) study result of fesoterodine and ketoconazole. Fesoterodine is a prodrug which is extensively hydrolyzed by non-specific esterases to the active metabolite 5-hydroxymethyl tolterodine (5-HMT). 5-HMT is then further metabolized via Cytochrome P450 (CYP) 2D6 and CYP3A4. It is reported that 5-HMT is a substrate of P-gp whereas fesoterodine is not. Renal clearance of 5-HMT is approximately two-times greater than renal glomerular filtration rate. This suggests the possibility that renal clearance of 5-HMT involves secretion by P-gp. Utilizing the available pharmacokinetic characteristics of fesoterodine and 5-HMT, we estimated in vivo Ki of ketoconazole on P-gp at kidney based on DDI study data using physiologically-based pharmacokinetic approach. The estimated in vivo Ki of ketoconazole for hepatic CYP3A4 (6.64 ng/mL) was consistent with the reported values. The in vivo Ki of ketoconazole for renal P-gp was successfully estimated as 2.27 ng/mL, which was notably lower than reported in vitro 50% inhibitory concentration (IC₅₀) values ranged 223-2440 ng/mL due to different condition between in vitro and in vivo.

Tolterodine Tartrate

Tolterodine tartrate belongs to the family of muscarinic receptor antagonists and is indicated for the treatment of overactive urinary bladder syndrome. This chapter provides an overview of physical, analytical, and ADME profiles; highlights methods of chemical synthesis; and discusses stability of tolterodine as a free base and/or its l-tartrate salt in solution and in the solid state. The information presented in this chapter is based on the peer-reviewed literature, compendial reports (USP, EP), and authors' data. Patent literature is included only in a few instances.

Pharmacokinetic drug interaction study between overactive bladder drugs mirabegron and tolterodine in Japanese healthy postmenopausal females

Mirabegron, the first selective β₃-adrenoceptor agonist for the treatment of overactive bladder (OAB), inhibits cytochrome P450 isozyme CYP2D6. This study was performed in Japanese healthy postmenopausal female volunteers to assess any pharmacokinetic drug interaction between mirabegron and tolterodine, another OAB drug and a sensitive substrate of CYP2D6. Tolterodine 4 mg was orally administered from Days 1-7 and co-administered with mirabegron 50 mg from Days 8-14. Mirabegron 50 mg increased maximum concentration (C_max) and area under the concentration-time curve from zero to 24 h after dosing (AUC_24h) of tolterodine by 2.06-fold (90% confidence interval [CI] 1.81, 2.34) and 1.86-fold (90% CI 1.60, 2.16), respectively, and increased C_max and AUC_24h of the metabolite 5-hydroxymethyl tolterodine by 1.36-fold (90% CI 1.26, 1.47) and 1.25-fold (90% CI 1.15, 1.37), respectively. This suggested a weak pharmacokinetic drug interaction between mirabegron and tolterodine. Mean change from baseline of Fridericia's QT correction formula (ΔQTcF) was slightly higher on Day 14 than on Day 7. No subject had QTcF >480 msec or ΔQTcF >60 msec. All the treatment-emergent adverse events were mild. Mirabegron 50 mg was considered to be safe and well tolerated when coadministered with tolterodine 4 mg in healthy postmenopausal female volunteers.

Association between inherited CYP2D6/2C19 phenotypes and anticholinergic measures in elderly patients using anticholinergic drugs

BACKGROUND

To compare measures of anticholinergic activity between metabolic phenotypes of the polymorphic enzymes cytochrome P450 2D6 (CYP2D6) and CYP2C19 in the elderly patients exposed to anticholinergic agents.

METHODS

Long-term nursing home patients (n = 80) with an anticholinergic drug scale (ADS) score ≥3 were recruited from 22 nursing homes in Norway. Based on pharmacogenetic analyses of mutations encoding absent CYP2D6 or CYP2C19 metabolism, patients were divided into subgroups of poor metabolizers (PMs) (n = 8) and extensive metabolizers (n = 72). Serum anticholinergic activity (SAA) was determined by a validated, 96-well format radio receptor assay and adjusted for ADS score. Unadjusted and adjusted SAAs, mouth dryness, and cognitive function (Mini-Mental State Examination and verbal recall tests from Consortium to Establish a Registry for Alzheimer Disease) were compared between the subgroups with Mann-Whitney tests.

RESULTS

The study population was represented by 78% women, 68% had mild to moderate dementia, and mean age was 86 years. More than 80% used more than 1 anticholinergic agent, and their median ADS score was 4. The subpopulation of PMs had significantly higher median SAA than the extensive metabolizers (10.3 versus 4.2 pmol atropine equivalents per milliliter, P = 0.012). This difference remained significant after adjusting for ADS score (P = 0.013). No significant differences in mouth dryness and cognitive function were observed between the subgroups (P > 0.3).

CONCLUSIONS

These preliminary findings suggest that elderly CYP2D6/CYP2C19 PMs with a high anticholinergic drug burden are at increased risk of elevated SAA. Whether PMs are also more prone to experience anticholinergic side effects needs to be further studied in larger patient populations.

A validated LC-MS/MS method for the determination of tolterodine and its metabolite in rat plasma and application to pharmacokinetic study

Liquid chromatography–tandem mass spectrometry (LC–MS/MS) method was used for simultaneous quantification of tolterodine and its metabolite 5-hydroxy methyl tolterodine in rat plasma. Tolterodine-d6 and 5-hydroxy methyl tolterodine-d14 were used as internal standards (IS). Chromatographic separation was performed on Ascentis Express RP amide (50 mm×4.6 mm, 2.7 μm) column with an isocratic mobile phase composed of 10 mM ammonium acetate and acetonitrile in the ratio of 20:80 (v/v), at a flow-rate of 0.5 mL/min. Tolterodine, tolterodine-d6, 5-hydroxy methyl tolterodine and 5-hydroxy methyl tolterodine-d14 were detected with proton adducts at m/z 326.1→147.1, 332.3→153.1, 342.2→223.1 and 356.2→223.1 in multiple reaction monitoring (MRM) positive mode respectively. The drug, metabolite and internal standards were extracted by liquid–liquid extraction method. The method was validated over a linear concentration range of 20.00–5000.00 pg/mL for tolterodine and 20.00–5000.00 pg/mL for 5-hydroxy methyl tolterodine. This method demonstrated intra- and inter-day precision of 0.62–6.36% and 1.73–4.84% for tolterodine, 1.38–4.22% and 1.62–4.25% for 5-hydroxy methyl tolterodine respectively. This method also demonstrated intra- and inter-day accuracy of 98.75–103.56% and 99.20–104.40% for tolterodine, 98.08–104.67% and 98.73–103.06% for 5-hydroxy methyl tolterodine respectively. Both analytes were found to be stable throughout freeze–thaw cycles, bench top and postoperative stability studies. This method was successfully applied for the pharmacokinetic analysis of rat plasma samples following i.v. administration.