Effects of Single and Multiple Ascending Doses of BI 1358894 in Healthy Male Volunteers on Safety, Tolerability and Pharmacokinetics: Two Phase I Partially Randomised Studies.

INTRODUCTION: The transient receptor potential canonical (TRPC) ion channels have been implicated in the pathophysiology of major depressive disorder (MDD), and TRPC inhibition has been shown to reduce depressive-like behaviour in rodent models of depression. BI 1358894, a small-molecule inhibitor of TRPC ion channels, is currently being developed for the treatment of MDD. OBJECTIVE: Two phase I studies assessed the safety, tolerability, and pharmacokinetics (PK) of oral BI 1358894 in fed and fasted states following a single ascending dose (SAD) [NCT03210272/1402-0001] and multiple ascending doses (MAD) [NCT03754959/1402-0002] in healthy male volunteers. In addition, any potential food effect was evaluated after a single dose. METHODS: In both studies, eligible healthy male volunteers (aged 18-45 years; body mass index of 18.5-29.9 kg/m2) were allocated to receive BI 1358894 or placebo. In the SAD study (1402-0001), volunteers were randomised 3:1 to receive BI 1358894 or placebo in fasted (3, 6, 10, 25, 50, 100, or 200 mg) and fed states (200 mg). The food effect part was conducted as an open-label, randomised, two-way crossover study at doses of 50 and 100 mg in fasted and fed states (high-calorie, high-fat breakfast). For the MAD study (1402-0002), volunteers were randomised 4:1 to receive BI 1358894 (10, 25, 50, 100, or 200 mg) or placebo once daily for 14 days under fed conditions. Primary endpoint (both studies): number of volunteers with drug-related adverse events (DRAEs). Secondary PK endpoints for study 1402-0001: area under the concentration-time curve (AUC) from time zero extrapolated to infinity (AUC∞), maximum plasma concentration (Cmax), and AUC from time zero to the last quantifiable data time point (AUC0-tz). Secondary PK endpoints for study 1402-0002: AUC over 0-24 h (AUC0-24), Cmax after the first dose, and steady-state AUC and Cmax over a uniform dosing interval (AUCτ,ss and Cmax,ss, respectively) after the last dose. RESULTS: BI 1358894 was well tolerated at doses ≤ 200 mg under all tested conditions and no dose dependency was observed in DRAE frequency for either study. In the SAD study, BI 1358894 exposure increased dose proportionally across 3-50 mg in the fasted state and across 50-200 mg in the fed state. A positive food effect was observed at the tested doses. In the MAD study, BI 1358894 exposure increased less than dose proportionally across 10-200 mg. CONCLUSIONS: These studies demonstrate that BI 1358894 is well tolerated in healthy male volunteers following single and multiple doses, with no dose dependency observed in DRAE frequency. BI 1358894 exposure increased dose dependently in both the SAD and MAD studies, with higher exposure of BI 1358894 observed in the fed state. CLINICALTRIALS REGISTRATION: These trials have been registered on ClinicalTrials.gov: NCT03210272/1402-0001 (registered on 6 July 2017) and NCT03754959/1402-0002 (registered on 27 November 2018).

Midazolam microdosing applied in early clinical development for drug-drug interaction assessment.

AIMS: We aimed to incorporate a pharmacologically inactive midazolam microdose into early clinical studies for the assessment of CYP3A drug-drug interaction liability. METHODS: Three early clinical studies were conducted with substances (Compounds A, B and C) which gave positive CYP3A perpetrator signals in vitro. A 75 µg dose of midazolam was administered alone (baseline CYP3A activity) followed by administration with the highest dose groups tested for each compound on Day 1/3 and Day 14 or Day 17. Midazolam exposure (AUC0-∞ , Cmax ) during administration with the test substances was compared to baseline data via an analysis of variance on log-transformed data. Partial AUC2-4 ratios were also compared to AUC0-∞ ratios using linear regression on log-transformed data. RESULTS: Test compound Cmax values exceeded relevant thresholds for drug-drug interaction liability. Midazolam concentrations were quantifiable over the full profiles for all subjects in all studies. Point estimates of the midazolam AUC0-∞ gMean ratios ranged from 108.3 to 127.1% for Compound A, from 93.3 to 114.5% for Compound B, and from 92.0 to 96.7% for the two highest dose groups of Compound C. Cmax gMean ratios were in the same range. Thus, no relevant drug-drug interactions were evident, based on the results of midazolam microdosing. AUC2-4 ratios from these studies were comparable to the AUC0-∞ ratios. CONCLUSION: Midazolam microdosing incorporated into early clinical studies is a feasible tool for reducing dedicated drug-drug interaction studies, meaning reduced subject burden. Limited sampling could further reduce subject burden, costs and needed resources.

Composite midazolam and 1'-OH midazolam population pharmacokinetic model for constitutive, inhibited and induced CYP3A activity.

CYP3A plays an important role in drug metabolism and, thus, can be a considerable liability for drug-drug interactions. Population pharmacokinetics may be an efficient tool for detecting such drug-drug interactions. Multiple models have been developed for midazolam, the typical probe substrate for CYP3A activity, but no population pharmacokinetic models have been developed for use with inhibition or induction. The objective of the current analysis was to develop a composite parent-metabolite model for midazolam which could adequately describe CYP3A drug-drug interactions. As an exploratory objective, parameters were assessed for potential cut-points which may allow for determination of drug-drug interactions when a baseline profile is not available. The final interaction model adequately described midazolam and 1'-OH midazolam concentrations for constitutive, inhibited, and induced CYP3A activity. The model showed good internal and external validity, both with full profiles and limited sampling (2, 2.5, 3, and 4 h), and the model predicted parameters were congruent with values found in clinical studies. Assessment of potential cut-points for model predicted parameters to assess drug-drug interaction liability with a single profile suggested that midazolam clearance may reasonably be used to detect inhibition (4.82-16.4 L/h), induction (41.8-88.9 L/h), and no modulation (16.4-41.8 L/h), with sensitivities for potent inhibition and induction of 87.9% and 83.3%, respectively, and a specificity of 98.2% for no modulation. Thus, the current model and cut-points could provide efficient and accurate tools for drug-drug liability detection, both during drug development and in the clinic, following prospective validation in healthy volunteers and patient populations.

Validation of a Drug Transporter Probe Cocktail Using the Prototypical Inhibitors Rifampin, Probenecid, Verapamil, and Cimetidine.

BACKGROUND AND OBJECTIVE: A novel cocktail containing four substrates of key drug transporters was previously optimized to eliminate mutual drug-drug interactions between the probes digoxin (P-glycoprotein substrate), furosemide (organic anion transporter 1/3), metformin (organic cation transporter 2, multidrug and toxin extrusion protein 1/2-K), and rosuvastatin (organic anion transporting polypeptide 1B1/3, breast cancer resistance protein). This clinical trial investigated the effects of four commonly employed drug transporter inhibitors on cocktail drug pharmacokinetics. METHODS: In a randomized open-label crossover trial in 45 healthy male subjects, treatment groups received the cocktail with or without single oral doses of rifampin, verapamil, cimetidine or probenecid. Concentrations of the probe drugs in serial plasma samples and urine fractions were measured by validated liquid chromatography-tandem mass spectrometry assays to assess systemic exposure. RESULTS: The results were generally in accordance with known in vitro and/or clinical drug-drug interaction data. Single-dose rifampin increased rosuvastatin area under the plasma concentration-time curve up to the last quantifiable concentration (AUC0-tz) by 248% and maximum plasma concentration (Cmax) by 1025%. Probenecid increased furosemide AUC0-tz by 172% and Cmax by 23%. Cimetidine reduced metformin renal clearance by 26%. The effect of single-dose verapamil on digoxin systemic exposure was less than expected from multiple-dose studies (AUC0-tz unaltered, Cmax + 22%). CONCLUSIONS: Taking all the interaction results together, the transporter cocktail is considered to be validated as a sensitive and specific tool for evaluating transporter-mediated drug-drug interactions in drug development. CLINICAL TRIAL REGISTRATION: EudraCT number 2017-001549-29.

Contributions of circadian tendencies and behavioral problems to sleep onset problems of children with ADHD.

BACKGROUND: Children with attention-deficit/hyperactivity disorder (ADHD) are two to three times more likely to experience sleep problems. The purpose of this study is to determine the relative contributions of circadian preferences and behavioral problems to sleep onset problems experienced by children with ADHD and to test for a moderation effect of ADHD diagnosis on the impact of circadian preferences and externalizing problems on sleep onset problems. METHODS: After initial screening, parents of children meeting inclusion criteria documented child bedtime over 4 nights, using a sleep log, and completed questionnaires regarding sleep, ADHD and demographics to assess bedtime routine prior to PSG. On the fifth night of the study, sleep was recorded via ambulatory assessment of sleep architecture in the child's natural sleep environment employing portable polysomnography equipment. Seventy-five children (26 with ADHD and 49 controls) aged 7-11 years (mean age 8.61 years, SD 1.27 years) participated in the present study. RESULTS: In both groups of children, externalizing problems yielded significant independent contributions to the explained variance in parental reports of bedtime resistance, whereas an evening circadian tendency contributed both to parental reports of sleep onset delay and to PSG-measured sleep-onset latency. No significant interaction effect of behavioral/circadian tendency with ADHD status was evident. CONCLUSIONS: Sleep onset problems in ADHD are related to different etiologies that might require different interventional strategies and can be distinguished using the parental reports on the CSHQ.

Sleep patterns and the risk for unipolar depression: a review.

Psychological disorders, particularly mood disorders, such as unipolar depression, are often accompanied by comorbid sleep disturbances, such as insomnia, restless sleep, and restricted sleep duration. The nature of the relationship between unipolar depression and these sleep disturbances remains unclear, as sleep disturbance may be a risk factor for development, an initial manifestation of the disorder, or a comorbid condition affected by similar mechanisms. Various studies have examined the impact of sleep deprivation on the presence of (or exacerbation of) depressive symptoms, and have examined longitudinal and concurrent associations between different sleep disturbances and unipolar depression. This review examines the evidence for sleep disturbances as a risk factor for the development and presence of depression, as well as examining common underlying mechanisms. Clinical implications pertaining to the comorbid nature of various sleep patterns and depression are considered.

Sleep patterns and the risk for ADHD: a review.

Attention-deficit/hyperactivity disorder (ADHD) is often associated with comorbid sleep disturbances. Sleep disturbances may be a risk factor for development of the disorder, a symptom of the disorder, or a comorbid condition affected by a similar psychopathology. Various studies have examined the impact of sleep deprivation on the presence/exacerbation of ADHD symptomology, as well as longitudinal and concurrent associations between different sleep disturbances and ADHD, yet the notion of sleep disturbances as a predecessor to ADHD remains unclear. As such, this review examines the evidence for sleep disturbances as a risk factor for the development of ADHD, as well as the mechanisms underlying the association between sleep patterns and ADHD. Additionally, clinical implications regarding the comorbid nature of sleep disturbances and ADHD will be considered.

Sleep and academic success: mechanisms, empirical evidence, and interventional strategies.

Mounting evidence indicates that sleep is beneficial for learning, memory, attention, and academic success. However, the importance of sleep in these contexts has rarely been addressed in programs aimed at optimizing academic performance. This review aims to describe the role that sleep plays in processes pertaining to academic achievement. We first describe the basic sleep processes and their role with respect to cognitive and behavioral/emotional systems important for academic performance. We next review studies conducted to assess the association between sleep and academic performance, concluding by describing interventional programs being used to optimize sleep in the context of academic success.