Cts-Clinical and Translational Science最新文献

Intranasal insulin is a putative neuroprotective therapy after cardiac arrest, but safety in humans at doses extrapolated from animal models is unknown. This phase I, open-label adaptive dose-escalation study explores the maximum tolerated dose of intranasal insulin in healthy human participants. Placebo or insulin at doses from 0 to 1000 units was given to healthy participants intranasally on repeated weekly visits. Serum glucose, insulin, and C-peptide levels were measured serially at 0, 15, 30, 60, 120, 180, and 240 min after administration. Twenty-four participants (12 female, median age 53, IQR 35–61) were enrolled. There was minimal change in average serum glucose after administration of intranasal insulin. Average serum insulin increased slightly in a dose-dependent manner, reaching maximum concentrations at 15 min. C-peptide decreased over time from administration in all groups. One participant had severe hypoglycemia (24 mg/dL at 45 min) and a different participant had mild hypoglycemia (51 mg/dL at 30 min), both after receiving 600 U intranasal insulin. Hypoglycemic episodes were associated with increases in serum insulin. Both participants continued in the study without hypoglycemia after additional doses. High-dose intranasal insulin up to 1000 U was generally well tolerated, with minimal measurable systemic absorption and without significant aggregate changes in mean glucose. Idiosyncratic episodic systemic absorption and hypoglycemia require further study and additional caution in potential clinical application. Further study of its target engagement and efficacy as a neuroprotective therapy after cardiac arrest at these doses is warranted.

The increase in the availability of real-world data (RWD), in combination with advances in machine learning (ML) methods, provides a unique opportunity for the integration of the two to explore complex clinical pharmacology questions. Here we present a recently developed RWD/ML framework that utilizes ML algorithms to understand the influence and importance of various covariates on the use of a given dose and schedule for drugs that have multiple approved dosing regimens. To demonstrate the application of this framework, we present atezolizumab as a use case on account of its three approved alternative intravenous (IV) dosing regimens. As expected, the real-world use of atezolizumab has generally been increasing since 2016 for the 1200 mg every 3 weeks regimen and since 2019 for the 1680 mg every 4 weeks regimen. Out of the ML algorithms evaluated, XGBoost performed the best, as measured by the area under the precision–recall curve, with an emphasis on the under-sampled class given the imbalance in the data. The importance of features was measured by Shapley Additive exPlanations (SHAP) values and showed metastatic breast cancer and use of protein-bound paclitaxel as the most correlated with the use of 840 mg every 2 weeks. Although patient usage data for alternative IV dosing regimens are still maturing, these analyses provide initial insights on the use of atezolizumab and set up a framework for the re-analysis of atezolizumab (at a future data cut) as well as application to other molecules with approved alternative dosing regimens.

Registry-based randomized controlled trials (RRCTs) can combine the advantages of registries with those of randomization. This review aimed to expand the current knowledge on RRCT utilization and implementation by providing a comprehensive overview of RRCT use cases. A targeted literature search was conducted through July 2023 to identify articles on RRCTs. Information regarding the RRCT characteristics, their utilization, and the registries' contributions and the constraints faced was extracted. Descriptive statistics were used. We identified 102 RRCTs in 110 publications. RRCTs were mostly performed for the assessment of medical devices or surgical/clinical procedures (n = 45), followed by drugs (n = 30). More than half of the RRCTs were conducted in the Nordic countries (n = 58) and the most used registry types were health service registries/administrative health data (n = 63), followed by disease registries (n = 46). Approximately half of the RRCTs (n = 53) utilized additional data sources aside from registry data. The contribution of a registry to the RRCT was mostly for data collection and study follow-up (n = 90–92), followed by patient recruitment (n = 56–61), and randomization (n = 28–38), with varying levels of transparency in reporting. We collated author-reported constraints related to the used registries into four overarching themes, that is, data availability and completeness, data quality, representativeness, and registry infrastructure and accessibility. This review shows that RRCTs are already used in different domains and geographic regions. Guidelines on structured and transparent reporting of RRCT methods and the optimal use are, however, needed to inform decision-making by health authorities and to reach their full potential.

Multi-lineage differentiating stress-enduring (Muse) cells, identified as pluripotent surface marker SSEA-3(+) cells, are stress tolerant endogenous pluripotent-like stem cells, and are involved in tissue repair. However, the significance of Muse cells in acute myocarditis has not been evaluated. In the present study, we counted Muse cells/area in biopsied myocardial tissue samples from 17 patients with fulminant myocarditis, and 6 with non-inflammatory myocardial disease as controls. Compared with controls, patients with fulminant myocarditis had significantly more Muse cells (p = 0.00042). Patients with mechanical circulatory support (p = 0.006) and myocardial degeneration (p = 0.023) had significantly more Muse cells than those without them. The Muse cell number was correlated with acute phase CK-MB level (ρ = 0.547, p = 0.029), indicating the severity of myocardial injury, and was also correlated with acute/recovery phase ratio of CK-MB (ρ = 0.585, p = 0.023) and cardiac troponin I (ρ = 0.498, p = 0.047) levels, indicating resilience of myocardial injury. In fulminant myocarditis, the Muse cell number was associated with the severity of clinical features in the acute phase, and also with the recovery from myocardial damage in the chronic phase. Endogenous Muse cells might be mobilized and accumulate to the myocardial tissues in fulminant myocarditis, and might participate in the repair of injured myocardium.

TQS-168, a first-in-class small-molecule inducer of peroxisome proliferator-activated receptor gamma coactivator 1-alpha gene expression, is in development for the treatment of amyotrophic lateral sclerosis. A single-ascending-dose (SAD) and multiple-ascending-dose (MAD) study of TQS-168 was carried out in healthy male subjects to investigate safety, tolerability, pharmacokinetics (PK), food effect, and preliminary pharmacodynamic effects (PD). Since solubility enhancement could be beneficial, assessment of three formulations was incorporated into the study using an integrated rapid manufacturing and clinical testing approach. Dosing in the SAD part was initiated with a crystalline methylcellulose (MC) suspension, and then spray-dried dispersion (SDD) and hot-melt extrusion (HME) suspensions were evaluated. The HME and SDD formulations showed two and fourfold higher exposure than the MC suspension, respectively, and the SDD formulation was selected for progression to subsequent SAD and MAD cohorts, in which there was further investigation of the food effect on exposure in addition to assessments of safety, tolerability, PK, and PD. C_max and AUC plasma exposures of TQS-168 were supra-proportional at higher doses, irrespective of formulation. Median T_max for TQS-168 occurred between 0.5 and 4.0 h post-dose and occurred later with higher doses. Geometric mean half-lives (T_1/2) for TQS-168 were independent of formulation and food, ranging from 3.2 to 10.5 h following single doses and 4.1 to 7.3 h following multiple doses. Food blunted TQS-168 C_max but had minimal impact on AUC. TQS-168 was considered to be safe and generally well tolerated following single and multiple oral doses. The SDD formulation was selected for future patient studies.

SKLB1028 is a novel multi-target protein kinase inhibitor under investigation for the treatment of FLT3-ITD mutated acute myeloid leukemia. Based on the preclinical characterization of SKLB1028 metabolism, three drug–drug interaction clinical studies were performed to investigate the effects of itraconazole, rifampin (CYP3A4 inhibitor and inducer, respectively), and gemfibrozil (CYP2C8 inhibitor) on the metabolism of SKLB1028. Fourteen healthy Chinese male subjects were enrolled in each study. In Study 1, subjects were administered a single dose of SKLB1028 (100 mg on days 1 and 11) and multiple doses of itraconazole (200 mg twice daily on day 8 and 200 mg once daily from days 9 to 18). Itraconazole was given with a loading dose on Day 8 and the total administration of itraconazole was 11 days. In Study 2, subjects were administered a single dose of SKLB1028 (100 mg on days 1 and 12) and multiple doses of gemfibrozil (600 mg twice daily from days 8 to 19). In Study 3, subjects were administered a single dose of SKLB1028 (150 mg on days 1 and 15) and multiple doses of rifampin (600 mg once daily from day 8 to 22). Itraconazole increased the AUC and C_max of SKLB1028 by approximately 28% and 41%, respectively. Compared to the single drug, co-administration with gemfibrozil increased the AUC of SKLB1028 by ~26% and the C_max by ~21%. Co-administration with rifampin reduced the AUC of SKLB1028 by ~30%, while the C_max did not change significantly. All treatments were well tolerated in all three studies.

Quizartinib prolongs QT interval through inhibition of the slow delayed rectifier potassium current (I_Ks). We used non-linear mixed-effects modeling to explore the relationship between quizartinib and its pharmacologically active metabolite AC886 and the Fridericia-corrected QT interval (QTcF) in newly diagnosed acute myeloid leukemia (AML) patients. We evaluated linear and non-linear drug effect models, using triplicate QTcF measurements with available time-matched pharmacokinetic samples from the Phase 3 QuANTUM-First trial. The effect of intrinsic and extrinsic factors on model parameters was tested using stepwise covariate model building. Simulations were conducted to predict the change from baseline in QTcF (ΔQTcF) at the maximum concentration at steady-state (C_max,ss) for quizartinib maintenance daily doses of 30 and 60 mg. The concentration-QTcF (C-QTcF) relationship was best described by a sigmoidal maximum effect model. After accounting for the effect of quizartinib, including AC886 concentrations did not further explain changes in QTcF. Circadian variations in QTcF were described using an empirical change from baseline based on clock times. Age and hypokalaemia were identified as statistically significant covariates on baseline QTcF; no covariates were found to impact the C-QTcF relationship. The median model-predicted ΔQTcF at C_max,ss was 18.4 ms (90% confidence interval (CI): 16.3–20.5) at 30 mg and 24.1 ms (90% CI: 21.4–26.6) at 60 mg. In conclusion, in newly diagnosed AML patients, ΔQTcF increased non-linearly with increasing quizartinib concentrations. The predicted ΔQTcF increase at C_max,ss supports the proposed dose adaptation based on observed QTcF and the dose reduction in case of strong cytochrome P450 3A (CYP3A) inhibitors coadministration.

Lack of pharmacogenomics knowledge among healthcare professionals is the most significant cited barrier to implementing pharmacogenomics in clinical settings. Despite the growth in research initiatives and awareness of pharmacogenomics, healthcare professionals continue to report a lack of knowledge and confidence in practicing pharmacogenomics. This study aims to assess the current pharmacogenomics knowledge gaps and learning needs of healthcare professionals in Malaysia. A modified Delphi with a multidisciplinary expert panel was conducted, and a purposive sampling method was used with predefined selection criteria. Fourteen study sites in Malaysia were included. The cut-off value to approach consensus was predefined as a threshold of 60% or higher, and a quantitative descriptive statistical analysis was performed. The study demonstrated that all experts rated the suggested educational content components as essential/important to be included in the educational intervention. Additionally, experts highlighted the significant barriers and gaps to adopting and practicing pharmacogenomics. To conclude, this multisite Delphi study enabled the development of a tailored, effective, evidence-based, competency-based educational intervention in pharmacogenomics for healthcare professionals in Malaysia. To keep up with the rapid evolution of the pharmacogenomics field, healthcare professionals should be equipped with the necessary competencies required to practice pharmacogenomics for better health outcomes. Future research is needed to determine the feasibility of the proposed educational intervention.

Bruton's tyrosine kinase (BTK) is a potential therapeutic target for allergic and autoimmune diseases. This first-in-human phase I study evaluated safety, pharmacokinetic, and pharmacodynamic profiles of sofnobrutinib (formerly AS-0871), a highly selective, orally available, non-covalent BTK inhibitor, in healthy adult subjects. Single ascending doses (SAD; 5–900 mg) and multiple ascending doses (MAD; 50–300 mg twice daily [b.i.d.] for 14 days [morning dose only on Day 14]) of sofnobrutinib were tested. In the entire study, all adverse events (AEs) were mild or moderate, and no apparent dose-proportional trend in severity or frequency was observed. No serious treatment-emergent AEs, cardiac arrythmias, or bleeding-related AEs were reported. In the SAD part, sofnobrutinib exhibited approximately dose-dependent systemic exposures up to 900 mg with rapid absorption (median time to maximum concentration of 2.50–4.00 h) and gradual decline (mean half-lives of 3.7–9.0 h). In the MAD part, sofnobrutinib showed low accumulation after multiple dosing (mean accumulation ratios of ≤1.54) and reached a steady state on ≤Day 7. Single dosing of sofnobrutinib rapidly and dose-dependently suppressed basophil and B-cell activations in ex vivo whole blood assays. Multiple dosing of sofnobrutinib achieved 50.8%–79.4%, 67.6%–93.6%, and 90.1%–98.0% inhibition of basophil activation during the dosing interval of 50, 150, and 300 mg b.i.d., respectively. Based on pharmacokinetic-pharmacodynamic analysis, half-maximal inhibitory concentration (IC₅₀) of sofnobrutinib for basophil activation was 54.06 and 57.01 ng/mL in the SAD and MAD parts, respectively. Similarly, IC₅₀ for B-cell activation was 187.21 ng/mL. These data support further investigation of sofnobrutinib in allergic and autoimmune diseases.