Cts-Clinical and Translational Science最新文献

Izuforant is a selective, and potent histamine H4 receptor (H4R) antagonist developed to treat atopic dermatitis (AD). There is an unmet medical need for therapeutic agents to control inflammation and pruritus. Izuforant is a strong candidate for this task based on the findings of non-clinical studies showing that inhibition of the histamine-mediated signaling pathway via H4R by izuforant results in decreased pruritus and inflammation. This study aimed to evaluate the clinical pharmacokinetic (PK) and pharmacodynamic (PD) profiles of izuforant. Dose-block-randomized, double-blind, placebo-controlled, single- and multiple ascending dose studies were conducted in 64 healthy volunteers. For the single ascending dose (SAD) study, 10–600 mg izuforant was administered to the designated groups. For the multiple ascending dose (MAD) study, 100–400 mg izuforant was administered to three groups. The clinical pharmacokinetic (PK) profile of izuforant was evaluated using plasma and urine concentrations. Blood sampling for the PD assay, which measured imetit-induced eosinophil shape changes (ESC), was also conducted. A one-compartment PK model described the distribution and elimination profiles of izuforant. An imetit-induced ESC inhibition test was established and validated for PD evaluation as a measure of the H4R antagonistic effect. ESC inhibition was observed even at doses as low as 10 mg; however, this inhibition became stronger and lasted longer as the dose increased. All izuforant doses were well tolerated, and no discontinuations due to adverse events (AE) or deaths were reported.

Developing safe and effective drugs and other medical products is a complex and costly process. Drug development has been, historically, commonly competitive and uncollaborative, and this tendency toward a lack of interaction between stakeholders—the pharmaceutical industry, academia, regulatory agencies, healthcare providers, and communities, among others—can lead to missed opportunities to improve efficiency and, ultimately, public health. The Forum for Collaborative Research was established in 1997 to address current scientific, policy, and regulatory issues in global health through multistakeholder engagement and dialogue. By providing a neutral and safe space for discussion, the Forum's model has impacted how clinical trials in diverse health areas are conducted, supported broader and more equitable clinical trial participation, and accelerated delivery of new drugs. The Forum's focus and directions have shifted over time, and this responsiveness to the needs of the global health community will be critical to ensure that the Forum continues to support collaboration in global health. In this article, we present lessons learned from this innovative model of collaborative research and regulatory science, pioneered by the Forum for over 25 years, including the importance of collective ownership and governance by all stakeholders, and emphasis on common goals and advantages of collaboration.

A “one-step” method which combined the heart rate correction and statistical analysis for conscious nonhuman primate (NHP) QTc assessment was recently published. The principles of this method are applicable to other species. In the current analysis, we demonstrate the utility of the technique in conscious dog QTc studies. Two studies in male dogs (n = 8 and n = 7) implanted with telemetry devices were used. In both studies, treatments were randomized and all animals received all treatments. In the primary study, the effect on QTc of moxifloxacin was compared with vehicle. Each treatment (vehicle and moxifloxacin) was given on two separate occasions. In the second study, dogs were given vehicle or dofetilide. Conventional QTc analysis was compared with the “one-step” method. The effect on QTc relative to vehicle was determined along with the median minimal detectable difference. As expected, both moxifloxacin and dofetilide gave QTc increases with a maximum of ~ 20 ms. There was a significant increase in the sensitivity to detect a QTc effect when using the “one-step” method. The minimal detectable difference was 1.6 ms for the “one-step” method compared with 6.2 ms for the conventional method. These analyses are consistent with the increased sensitivity described for the “one-step” method applied to studies in NHP. The increased sensitivity should enhance the ability to support an integrated assessment of the QTc prolongation liability for new drugs.

Pharmacogenomic (PGx) biomarkers integrated using machine learning can be embedded within the electronic health record (EHR) to provide clinicians with individualized predictions of drug treatment outcomes. Currently, however, drug alerts in the EHR are largely generic (not patient-specific) and contribute to increased clinician stress and burnout. Improving the usability of PGx alerts is an urgent need. Therefore, this work aimed to identify principles for optimal PGx alert design through a health-system-wide, mixed-methods study. Clinicians representing multiple practices and care settings (N = 1062) in urban, rural, and underserved regions were invited to complete an electronic survey comparing the usability of three drug alerts for citalopram, as a case study. Alert 1 contained a generic warning of pharmacogenomic effects on citalopram metabolism. Alerts 2 and 3 provided patient-specific predictions of citalopram efficacy with varying depth of information. Primary outcomes included the System's Usability Scale score (0–100 points) of each alert, the perceived impact of each alert on stress and decision-making, and clinicians' suggestions for alert improvement. Secondary outcomes included the assessment of alert preference by clinician age, practice type, and geographic setting. Qualitative information was captured to provide context to quantitative information. The final cohort comprised 305 geographically and clinically diverse clinicians. A simplified, individualized alert (Alert 2) was perceived as beneficial for decision-making and stress compared with a more detailed version (Alert 3) and the generic alert (Alert 1) regardless of age, practice type, or geographic setting. Findings emphasize the need for clinician-guided design of PGx alerts in the era of digital medicine.

Population pharmacokinetic (PK) modeling serves as the cornerstone for understanding drug behavior within a specific population. It integrates subject covariates to elucidate the variability in PK parameters, thus enhancing predictive accuracy. However, covariate modeling within this framework can be intricate and time-consuming due to the often obscure structural relationship between covariates and PK parameters. Previous attempts, such as deep compartment modeling (DCM), aimed to streamline this process using machine learning techniques. Nonetheless, DCM fell short in assessing residual errors and interindividual variability (IIV), potentially leading to model misspecification and overfitting. Furthermore, DCM lacked the ability to quantify model uncertainty. To address these limitations, we introduce hierarchical deep compartment modeling (HDCM) as an advancement of DCM. HDCM harnesses machine learning to discern the interplay between covariates and PK parameters while simultaneously evaluating diverse levels of random effects and quantifying uncertainty through Bayesian inference. This tutorial provides a comprehensive application of the HDCM workflow using open-source Julia tools.

D-dimer is widely used in the diagnosis of deep vein thrombosis (DVT), but the specificity is low. The study examined the diagnostic value of long non-coding RNA (lncRNA) SNHG12 in DVT, and preliminarily discussed its mechanism. SNHG12 levels were detected in 200 elderly fracture patients via RT-qPCR, including 38 DVTs. Logistic regression analysis and receiver operating characteristic (ROC) curve were applied for diagnostic value evaluation. HUVECs were used for function study. Cell proliferation, migration, apoptosis, release of inflammatory cytokines, and adhesion factors were detected. Student's t test and one-way ANOVA were applied for data comparison between two or among three or more groups. Correlation analysis of indicators was completed via Pearson's correlation analysis. Bioinformatics analysis predicted the target miRNAs and genes of SNHG12, with GO and KEGG for the function enrichment. It was found that SNHG12 was at low expression in DVT patients, and negatively correlated with D-dimer concentration (r = −0.535). SNHG12 and D-dimer were independent influence factors related to the development of DVT. SNHG12 and D-dimer combination had the best performance in DVT diagnosis. In HUVECs, SNHG12 promoted cell proliferation and migration and restricted the release of inflammatory cytokines and adhesion factors, but these influences were counteracted by miR-424-5p. A total of 208 overlapping target genes of miR-424-5p were identified, and their function was enriched in cellular cycle and senescence. PI3K-Akt signaling pathway was the most significant pathway based on KEGG results. In conclusion, SNHG12 had good diagnostic potential for DVT combined with D-dimer. SNHG12 maintains vascular endothelial cell function by acting as a competitive endogenous RNA (ceRNA) for miR-424-5p.

Pedunculoside and rotundic acid, the most abundant components in plants of the genus Ilex L. (Aquifoliaceae), exhibit biological and pharmacological significance in the treatment of cardiovascular diseases. However, there have been few studies on their metabolism. This study performed a systematic metabolism study of pedunculoside and rotundic acid and evaluated their potential for herb–drug interaction. Pedunculoside or rotundic acid was incubated with human liver microsomes and recombinant human metabolic enzymes, and analyzed using LC-Q-TOF/MS and LC–MS/MS. Pedunculoside was found to be the most stable in human liver microsomes, whereas rotundic acid was easily metabolized. Eight pedunculoside metabolites and six rotundic acid metabolites were detected and tentatively identified through hydroxylation, glucuronidation, acetylation, and glucose conjugation. Hydroxylation of pedunculoside is mainly catalyzed by CYP3A4/5 and partly by CYP2C8. Hydroxylation of rotundic acid is almost exclusively catalyzed by CYP3A4/5, and its glucuronidation reaction is mediated by UGT1A4. Neither pedunculoside nor rotundic acid showed CYP inhibition (IC₅₀ values > 50 μM) with the probe substrates of major CYP isoforms during incubation with human liver microsomes. This study is the first investigation into the in vitro metabolism of pedunculoside and rotundic acid using human liver microsomes. It also aims to assess their potential as perpetrators of drug–drug interactions involving CYP enzymes. The comprehensive metabolism and drug interaction studies of pedunculoside and rotundic acid enable us to evaluate and manage potential risks with their use in pharmacotherapy.

Ezetimibe undergoes glucuronidation that results in the active metabolite ezetimibe phenoxy-glucuronide (ezetimibe-glucuronide). This phase-II metabolite was shown to interact with the clinically relevant hepatic transporter organic anion transporting polypeptide (OATP) 1B1. In recent years, coproporphyrin I (CPI) was established as a Tier 1 biomarker for OATP1B-mediated interactions among other endogenous substrates like CPIII. To evaluate whether levels of the biomarker are affected by ezetimibe treatment, we assessed the impact of ezetimibe and ezetimibe-glucuronide on OATP1B1-mediated transport of CPs in vitro. Then, we quantified CP levels in serum samples of healthy volunteers treated with a single oral dose of ezetimibe (20 mg) alone or in combination with rifampin (600 mg). Results from our in vitro experiments showed a significant reduction in cellular CPI accumulation in the presence of ezetimibe-glucuronide with an IC₅₀ of 1.97 μM [95% CI: 1.04 to 3.96], while CPIII accumulation was impacted by 10 μM and above. In the in vivo study, we observed peak CP concentrations 1.33 h after dosing, which is closest to the t_max of the ezetimibe metabolite. Co-administration of ezetimibe with rifampin resulted in even higher serum CP levels. The AUC_0–24h of CPI and CPIII increased two- and threefold, respectively, after concomitant dosing compared to ezetimibe alone. Moreover, we quantified CP levels in cumulative urine from both study phases where the renally excreted amount (A_e) of CPI and CPIII increased after ezetimibe and rifampin co-administration compared to ezetimibe alone. In conclusion, our findings indicate that rifampin co-administration results in additional inhibition of OATP1B1 in vivo.

Despite combination antiretroviral therapy effectively suppressing HIV within the periphery, neuro-acquired HIV (neuroHIV) remains a significant problem and approximately half of people living with HIV will experience HIV-associated neurocognitive disorders (HAND). Concurrent opioid use exacerbates neuroHIV by promoting neuroinflammation, neuronal injury and synaptodendritic culling, viral replication, and potentially altering antiretroviral concentrations within the brain. The present study examined the effects of HIV and morphine co-exposure on the accumulation and spatial distribution of antiretroviral drugs across multiple regions within the brain in an HIV-1 Tat transgenic mouse model by using infrared-matrix-assisted laser desorption electrospray ionization mass spectrometry imaging (IR-MALDESI MSI). Morphine exposure uniquely decreased antiretroviral concentrations in anterior cerebral (primary motor and somatosensory) cortices, corpus collosum (anterior forceps), caudoputamen, nucleus accumbens, and posterior regions including the hippocampus, corpus callosum (main body), cerebral cortex (somatosensory and auditory cortices), thalamus, and hypothalamus. Interestingly, male mice experienced greater morphine-associated decreases in antiretroviral concentrations than females. The study also assessed whether changes in antiretroviral concentrations were linked with inflammation in astroglia, assessed through the measurement of astroglial activation using glial fibrillary acidic protein (GFAP) as a marker. Alterations in antiretroviral concentrations co-registering with areas of astroglial activation exhibited sex-specific treatment differences. This study highlights the intricate interplay between HIV, opioids, and antiretroviral drugs within the CNS, elucidating distinct regional and sex variations in responsiveness. Our findings emphasize the identification of vulnerabilities within the neural landscape and underscore the necessity of carefully monitoring opioid use to maintain the efficacy of antiretroviral therapies.

Phosphodiesterase 4 (PDE4) inhibitor is associated with a broad-spectrum anti-inflammatory mechanism. However, securing clinically efficacious doses with sufficient safety margins remains challenging due to class specific adverse events that are often unavoidable in the clinic. ART-648 is an orally available PDE4 inhibitor being developed for the treatment of inflammatory diseases. According to the estimated clinical doses based on an in vitro whole-blood assay, a phase I study was designed. The purpose of this phase I study was to assess the safety, tolerability, pharmacokinetics (PK), and pharmacodynamics (PD) following single and multiple administration of ART-648 in healthy subjects. PD was assessed by suppression of lipopolysaccharide-induced TNFα release in ex vivo whole-blood assay. In the single rising dose study, ART-648 was safe and well tolerated with a dose-proportional increase in exposures up to 4 mg. Single doses of ART-648 demonstrated dose-dependent PD response, indicating target engagement at 2-8 mg doses. In the multiple rising dose study, doses up to 4 mg BID after careful titration were well tolerated, while doses up to 6 mg BID were tolerated not in all but the majority of subjects. In conclusion, ART-648 exhibits a favorable PK profile with robust target engagement at clinically safe and tolerated doses identified in healthy subjects.