Pharmacokinetic interactions between fexuprazan, a potassium-competitive acid blocker, and nonsteroidal anti-inflammatory drugs in healthy males.

Fexuprazan, a novel potassium-competitive acid blocker, is expected to be used for the prevention of nonsteroidal anti-inflammatory drugs (NSAIDs) induced ulcer. This study aimed to evaluate pharmacokinetic (PK) interactions between fexuprazan and NSAIDs in healthy subjects. A randomized, open-label, multicenter, six-sequence, one-way crossover study was conducted in healthy male subjects. Subjects randomly received one of the study drugs (fexuprazan 40 mg BID, celecoxib 200 mg BID, naproxen 500 mg BID, or meloxicam 15 mg QD) for 5 or 7 days in the first period followed by the combination of fexuprazan and one of NSAIDs for the same days and the perpetrator additionally administered for 1-2 days in the second period. Serial blood samples for PK analysis were collected until 48- or 72-h post-dose at steady state. PK parameters including maximum plasma concentration at steady state (Cmax,ss) and area under plasma concentration-time curve over dosing interval at steady state (AUCτ,ss) were compared between monotherapy and combination therapy. The PKs of NSAIDs were not significantly altered by fexuprazan. For fexuprazan, differences in PK parameters (22% in Cmax, 19% in AUCτ,ss) were observed when co-administered with naproxen, but not clinically significant. The geometric mean ratio (90% confidence interval) of combination therapy to monotherapy for Cmax,ss and AUCτ,ss was 1.22 (1.02-1.46) and 1.19 (1.00-1.43), respectively. There were no significant changes in the systemic exposure of fexuprazan by celecoxib and meloxicam. Fexuprazan and NSAIDs did not show clinically meaningful PK interactions.

Metabolomic Profiles in Patients with Cervical Cancer Undergoing Cisplatin and Radiation Therapy.

This study was aimed to evaluate endogenous metabolic changes before and after cisplatin and radiation therapy in patients with cervical cancer via untargeted metabolomic analysis using plasma samples. A total of 13 cervical cancer patients were enrolled in this study. Plasma samples were collected from each patient on two occasions: approximately one week before therapy (P1) and after completion of cisplatin and radiation therapy (P2). Of the 13 patients, 12 patients received both cisplatin and radiation therapy, whereas one patient received radiation therapy alone. The samples were analyzed using the Ultimate 3000 coupled with Q ExactiveTM Focus Hybrid Quadrupole-OrbitrapTM mass spectrometry (Thermo Fisher Scientific, Waltham, MA, USA). Chromatographic separation utilized a Kinetex C18 column 2.1×100 mm (2.6 µm) (Phenomenex, Torrance, CA, USA), and the temperature was maintained at 40°C. Following P2, there were statistically significant increases in the concentrations of indoxyl sulfate, phenylacetylglutamine, Lysophosphatidyethanolamine (LysoPE) (18:1), and indole-3-acetic acid compared with the concentrations observed at P1. Specifically, in the human papillomavirus (HPV) noninfection group, indoxyl sulfate, LysoPE (18:1), and phenylacetylglutamine showed statistically significant increases at P2 compared with P1. No significant changes in metabolite concentrations were observed in the HPV infection group. Indoxyl sulfate, LysoPE (18:1), phenylacetylglutamine, and indole-3-acetic acid were significantly increased following cisplatin and radiation therapy.

Profiling of endogenous metabolites and changes in intestinal microbiota distribution after GEN-001 (Lactococcus lactis) administration.

This study aimed to identify metabolic biomarkers and investigate changes in intestinal microbiota in the feces of healthy participants following administration of Lactococcus lactis GEN-001. GEN-001 is a single-strain L. lactis strain isolated from the gut of a healthy human volunteer. The study was conducted as a parallel, randomized, phase 1, open design trial. Twenty healthy Korean males were divided into five groups according to the GEN-001 dosage and dietary control. Groups A, B, C, and D1 received 1, 3, 6, and 9 GEN-001 capsules (1 × 1011 colony forming units), respectively, without dietary adjustment, whereas group D2 received 9 GEN-001 capsules with dietary adjustment. All groups received a single dose. Fecal samples were collected 2 days before GEN-001 administration to 7 days after for untargeted metabolomics and gut microbial metagenomic analyses; blood samples were collected simultaneously for immunogenicity analysis. Levels of phenylalanine, tyrosine, cholic acid, deoxycholic acid, and tryptophan were significantly increased at 5-6 days after GEN-001 administration when compared with predose levels. Compared with predose, the relative abundance (%) of Parabacteroides and Alistipes significantly decreased, whereas that of Lactobacillus and Lactococcus increased; Lactobacillus and tryptophan levels were negatively correlated. A single administration of GEN-001 shifted the gut microbiota in healthy volunteers to a more balanced state as evidenced by an increased abundance of beneficial bacteria, including Lactobacillus, and higher levels of the metabolites that have immunogenic properties.

Pharmacokinetics and bioequivalence of tofacitinib 5 mg in healthy Korean male subjects.

OBJECTIVE: Tofacitinib is an oral Janus kinase (JAK) inhibitor marketed as an immunomodulator that can effectively treat rheumatoid arthritis. This study aimed to compare the pharmacokinetics and evaluate the bioequivalence of tofacitinib free base (CKD-374) with those of tofacitinib citrate (Xeljanz). MATERIALS AND METHODS: A randomized, open-label, single-dose, 2-sequence, 2-period crossover study was conducted in healthy Korean male subjects. A total of 36 subjects were randomized into two sequence groups. At each period, subjects were administered the test formulation (tofacitinib free base, 5 mg) or the reference formulation (tofacitinib citrate, 8.078 mg; as tofacitinib, 5 mg). The plasma samples were collected up to 12 hours post dose and analyzed by liquid chromatography-tandem mass spectrometry. Pharmacokinetic parameters, including maximum plasma concentration (Cmax) and area under the plasma concentration vs. time curve from dosing to the last measurable concentration (AUC0-t), were determined by non-compartmental analysis. The 90% confidence intervals (CIs) of the geometric mean ratios for Cmax and AUC0-t were calculated to evaluate pharmacokinetic equivalence. RESULTS: The 90% CIs of the geometric mean ratios of Cmax and AUC0-t for tofacitinib free base to tofacitinib citrate were 0.9144 - 1.1230 and 1.0245 - 1.0932, respectively. All reported adverse events were of mild intensity, and there were no serious adverse events. CONCLUSION: In healthy Korean male adult subjects, the pharmacokinetic parameters of tofacitinib free base and tofacitinib citrate were evaluated and met the pharmacokinetic bioequivalent criteria. Both formulations were safe and well-tolerated.

Predicting preterm birth using machine learning techniques in oral microbiome.

Preterm birth prediction is essential for improving neonatal outcomes. While many machine learning techniques have been applied to predict preterm birth using health records, inflammatory markers, and vaginal microbiome data, the role of prenatal oral microbiome remains unclear. This study aimed to compare oral microbiome compositions between a preterm and a full-term birth group, identify oral microbiome associated with preterm birth, and develop a preterm birth prediction model using machine learning of oral microbiome compositions. Participants included singleton pregnant women admitted to Jeonbuk National University Hospital between 2019 and 2021. Subjects were divided into a preterm and a full-term birth group based on pregnancy outcomes. Oral microbiome samples were collected using mouthwash within 24 h before delivery and 16S ribosomal RNA sequencing was performed to analyze taxonomy. Differentially abundant taxa were identified using DESeq2. A random forest classifier was applied to predict preterm birth based on the oral microbiome. A total of 59 women participated in this study, with 30 in the preterm birth group and 29 in the full-term birth group. There was no significant difference in maternal clinical characteristics between the preterm and the full-birth group. Twenty-five differentially abundant taxa were identified, including 22 full-term birth-enriched taxa and 3 preterm birth-enriched taxa. The random forest classifier achieved high balanced accuracies (0.765 ± 0.071) using the 9 most important taxa. Our study identified 25 differentially abundant taxa that could differentiate preterm and full-term birth groups. A preterm birth prediction model was developed using machine learning of oral microbiome compositions in mouthwash samples. Findings of this study suggest the potential of using oral microbiome for predicting preterm birth. Further multi-center and larger studies are required to validate our results before clinical applications.

Feasibility study for a fully decentralized clinical trial in participants with functional constipation symptoms.

Decentralized clinical trials (DCTs) leverage digital technologies to reduce dependency on study sites and intermediaries. DCT should be balanced with accessibility and data reliability while meeting regulatory requirements. Here, we conducted a pilot study for functional constipation symptoms to investigate the feasibility of DCT. The study was an open, fully remote, randomized clinical trial in participants who had functional constipation symptoms. Electronic consent was obtained remotely, and study volunteers were screened through web-based questionnaires. Subjects were randomized to either receive Lactobacillus and vitamin C supplements or vitamin C alone in a 1:1 ratio, which were delivered directly to subjects. Subjects kept track of bowel diaries daily during the 1-week baseline and 2-week treatment period using mobile applications. Bowel symptoms and the validity of the records were descriptively evaluated. A total of 30 subjects were randomized and completed the study. A total of 26.7% of subjects resided outside of the metropolitan area. Two-week Lactobacillus treatments increased the number of defecations (+0.80 vs. +0.46 times per week) and decreased the defecation time (-3.94 h vs. -1.62 h) compared to the comparator group. Overall, 67.1% of bowel diary records were completed in accordance with the schedule whereas 32.9% were not. Implementation of DCTs can facilitate geographic accessibility but should be guaranteed for data reliability. Prompt detection of errors and response using objective metrics would be required.

Evaluation of the comparative pharmacokinetic properties of a new orally disintegrating tablet of tegoprazan in healthy Korean subjects.

PURPOSE: Tegoprazan is a differentiated gastric acid-pump blocker and belongs to a class of potassium-competitive acid secretion blockers. An orally disintegrating tablet (ODT) of tegoprazan was developed to improve patient compliance. The purpose of this study was to compare pharmacokinetics (PK) and safety profiles between the conventional tablet (as the reference drug) and the ODT (as the test drug) of 50 mg tegoprazan in healthy Korean subjects. MATERIALS AND METHODS: An open-label, randomized, single-dose, 6-sequence, 3-period crossover study was conducted in 48 healthy subjects. All subjects received a single oral dose of tegoprazan 50 mg tablet with water, tegoprazan 50 mg ODT with water, and tegoprazan 50 mg ODT without water. Serial blood samples were collected up to 48 hours after dosing. Plasma concentrations of tegoprazan and its metabolite M1 were measured by LC-MS/MS, and PK parameters were calculated with a non-compartmental method. Safety was evaluated by means of assessed adverse events, physical examinations, laboratory test results as well as measurements of vital signs and ECG throughout the study. RESULTS: A total of 47 subjects completed the study. The 90% confidence intervals of the geometric mean ratios for AUCt, Cmax, and AUCinf of tegoprazan were 0.8873 - 0.9729, 0.8865 - 1.0569, and 0.8835 - 0.9695 for the test drug with water to the reference drug and 0.9169 - 1.0127, 0.9569 - 1.1276, and 0.9166 - 1.0131 for the test drug without water to the reference drug, respectively. There were no serious adverse events, and all adverse events were mild. CONCLUSION: The PK profiles of tegoprazan were equivalent between the conventional tablet and ODT with or without water. There was no significant difference in the safety profiles. Therefore, the novel ODT of tegoprazan that can be taken without water may improve compliance among patients with acid-related diseases.

The effects of long-term cumulative HbA1c exposure on the development and onset time of dementia in the patients with type 2 diabetes mellitus: Hospital based retrospective study (2005-2021).

AIMS: We examined cumulative effects of long-term glycemic exposure in patients with type 2 diabetes mellitus (T2DM) on the development of dementia. METHODS: The study involved 20,487 records of patients with T2DM identified in the electronic medical record at Severance Hospital, Korea. Cumulative HbA1c (AUCHbA1c) and mean HbA1c over time (HbA1cavg) as measures of long-term glycemic exposure were compared for the development of dementia and the time to dementia. RESULTS: AUCHbA1c and HbA1cavg were significantly higher in patients who later developed dementia than in those who did not (AUCHbA1c: 56.2 ± 26.4 vs. 52.1 ± 26.1 %Year; HbA1cavg: 7.3 ± 1.0 vs. 7.0 ± 1.0%). Odds ratio of dementia increased when HbA1cavg was 7.2% (55 mmol/mol) or above, and when AUCHbA1c was 42 %Year (e.g., HbA1c 7.0% maintained for 6 years) or above. Among those who developed dementia, as HbA1cavg increased, the time to dementia onset decreased (ß = -380.6 days, 95% confidence interval [CI]: -416.2 to -345.0). CONCLUSIONS: Our results indicate poorly controlled T2DM was associated with an increased risk of developing dementia, as measured by AUCHbA1c and HbA1cavg. Higher cumulative glycemic exposure may lead to developing dementia in a shorter time.

Pharmacokinetics and safety of candidate tocilizumab biosimilar CT-P47 versus reference tocilizumab: a randomized, double-blind, single-dose phase I study.

BACKGROUND: CT-P47 is a candidate tocilizumab biosimilar. This study assessed the pharmacokinetic (PK) equivalence of CT-P47 and European Union-approved reference tocilizumab (EU-tocilizumab) in healthy Asian adults. RESEARCH DESIGN AND METHODS: This double-blind, multicenter, parallel-group trial randomized healthy adults (1:1) to receive a single (162 mg/0.9 mL) subcutaneous dose of CT-P47 or EU-tocilizumab. The primary endpoint (Part 2) was PK equivalence by area under the concentration - time curve (AUC) from time zero to last quantifiable concentration (AUC0-last), AUC from time zero to infinity (AUC0-inf), and maximum serum concentration (Cmax). PK equivalence was concluded if 90% confidence intervals (CIs) for the ratios of geometric least-squares means (gLSMs) were within the 80-125% equivalence margin. Additional PK endpoints, immunogenicity, and safety were evaluated. RESULTS: In Part 2, 289 participants were randomized (146 CT-P47; 143 EU-tocilizumab); 284 received study drug. AUC0-last, AUC0-inf, and Cmax were equivalent between CT-P47 and EU-tocilizumab: 90% CIs for the ratios of gLSMs were within the 80-125% equivalence margin. Secondary PK endpoints, immunogenicity, and safety were comparable between groups. CONCLUSIONS: CT-P47 demonstrated PK equivalence with EU-tocilizumab and was well tolerated, following a single dose in healthy adults. CLINICAL TRIAL REGISTRATION: www.clinicaltrials.gov identifier is NCT05188378.

Tocilizumab is a biologic medicine used to treat inflammatory diseases including rheumatoid arthritis. Biosimilars are drugs that are highly similar to an already approved, 'reference' biologic medicine. This means that they do not have any differences from the reference product in factors including structure, biologic function, efficacy, and safety, that might affect how well they work in patients. Biosimilars are often available at a lower cost than reference drugs, so their use can provide patients with better access to expensive treatments. There are no approved biosimilars of tocilizumab so far: CT-P47 is currently in development as a potential tocilizumab biosimilar.In the main part of this study, 289 healthy Asian volunteers were randomly allocated to receive a single injection of either CT-P47 or the reference drug, European Union-approved tocilizumab (EU-tocilizumab). The main aim of the study was to find out whether CT-P47 and EU-tocilizumab were equivalent in terms of pharmacokinetics (drug absorption, distribution, metabolism, and excretion by the body). This is part of a standard process required by regulatory authorities to ensure that biosimilars work as well as their reference drugs. Analysis of blood samples taken over 43 days showed that the pharmacokinetic profiles of CT-P47 and EU-tocilizumab were equivalent, after the volunteers received a single dose of either drug. Safety and immunogenicity (immune responses made to the drug) were also comparable between CT-P47 and EU-tocilizumab. While only healthy Asian adults were included, further research comparing CT-P47 with reference tocilizumab will help to ensure that the findings from the study can be applied to broader populations.

Development of an External Control Arm Using Electronic Health Record-Based Real-World Data to Evaluate the Efficacy of COVID-19 Treatment.

To protect people from severe acute respiratory syndrome-coronavirus 2 (SARS-CoV-2) infection, tremendous research efforts have been made toward coronavirus disease 19 (COVID-19) treatment development. Externally controlled trials (ECTs) may help reduce their development time. To evaluate whether ECT using real-world data (RWD) of patients with COVID-19 is feasible enough to be used for regulatory decision making, we built an external control arm (ECA) based on RWD as a control arm of a previously conducted randomized controlled trial (RCT), and compared it to the control arm of the RCT. The electronic health record (EHR)-based COVID-19 cohort dataset was used as RWD, and three Adaptive COVID-19 Treatment Trial (ACTT) datasets were used as RCTs. Among the RWD datasets, eligible patients were evaluated as a pool of external control subjects of the ACTT-1, ACTT-2, and ACTT-3 trials, respectively. The ECAs were built using propensity score matching, and the balance of age, sex, and baseline clinical status ordinal scale as covariates between the treatment arms of Asian patients in each ACTT and the pools of external control subjects was assessed before and after 1:1 matching. There was no statistically significant difference in time to recovery between ECAs and the control arms of each ACTT. Among the covariates, the baseline status ordinal score had the greatest influence on the building of ECA. This study demonstrates that ECA based on EHR data of COVID-19 patients could sufficiently replace the control arm of an RCT, and it is expected to help develop new treatments faster in emergency situations, such as the COVID-19 pandemic.

Comparative pharmacokinetics of two formulations of 2.5-mg rivaroxaban in healthy Korean subjects.

OBJECTIVE: Rivaroxaban is a direct factor Xa inhibitor used for the prevention and treatment of thromboembolic disorders. The objective of this study was to compare the pharmacokinetic profiles of two rivaroxaban formulations after a single dose of rivaroxaban (2.5-mg tablet) in healthy Korean subjects. MATERIALS AND METHODS: This study was a randomized, open-label, single-dose, two-period, crossover study that included 34 healthy adult subjects under fasting conditions. The test drug (Yuhan rivaroxaban tablet) or reference drug (Xarelto tablet) was administered in each period. Serial blood samples were collected up to 36 hours post-dose. Plasma concentrations were measured by LC-MS/MS. Pharmacokinetic parameters, including maximum plasma concentration (Cmax) and area under the plasma concentration-time curve from time zero to the last measurable concentration (AUCt), were determined by non-compartmental analysis. The 90% confidence intervals (CIs) for the ratio of the geometric means of Cmax and AUCt for the test drug/reference drug were calculated to evaluate pharmacokinetic equivalence. RESULTS: A total of 28 subjects were included in the pharmacokinetic analysis. The geometric mean ratios (90% CI) of the test drug/reference drug for rivaroxaban were 1.0140 (0.9794 - 1.0499) for AUCt and 0.9350 (0.8797 - 0.9939) for Cmax. All adverse events (AEs) were mild, and there was no significant difference in the incidence of AEs between the formulations. CONCLUSION: The pharmacokinetic parameters of rivaroxaban were compared between the test and reference drug, and both formulations were bioequivalent. The newly developed rivaroxaban tablet is safe and well tolerated as the reference drug (ClinicalTrials.gov identifiers: NCT05418803).

Prediction of the Drug-Drug Interaction Potential between Tegoprazan and Amoxicillin/Clarithromycin Using the Physiologically Based Pharmacokinetic and Pharmacodynamic Model.

Tegoprazan is a novel potassium-competitive acid blocker. This study investigated the effect of drug-drug interaction on the pharmacokinetics and pharmacodynamics of tegoprazan co-administered with amoxicillin and clarithromycin, the first-line therapy for the eradication of Helicobacter pylori, using physiologically based pharmacokinetic and pharmacodynamic (PBPK/PD) modeling. The previously reported tegoprazan PBPK/PD model was modified and applied. The clarithromycin PBPK model was developed based on the model provided by the SimCYP® compound library. The amoxicillin model was constructed using the middle-out approach. All of the observed concentration-time profiles were covered well by the predicted profiles with the 5th and 95th percentiles. The mean ratios of predicted to observed PK parameters, including the area under the curve (AUC), maximum plasma drug concentration (Cmax), and clearance, were within the 30% intervals for the developed models. Two-fold ratios of predicted fold-changes of Cmax and AUC from time 0 to 24 h to observed data were satisfied. The predicted PD endpoints, including median intragastric pH and percentage holding rate at pH above 4 or 6 on day 1 and day 7, were close to the corresponding observed data. This investigation allows evaluation of the effects of CYP3A4 perpetrators on tegoprazan PK and PD changes, thus providing clinicians with the rationale for co-administration dosing adjustment.

Long-term taxonomic and functional stability of the gut microbiome from human fecal samples.

Appropriate storage of fecal samples is a critical step for unbiased analysis in human microbiome studies. The purpose of this study was to evaluate the stability of the fecal microbial community for up to 18 months. Ten healthy volunteers provided fecal samples at the Jeonbuk National University Hospital. Stool samples were stored under the following six conditions: four different storage temperatures (- 70 °C, - 20 °C, 4 °C, and room temperature [20-25 °C]) and two different collection tubes (OMNIgene-Gut and DNA/RNA shield-fecal collection tubes). The gut microbiome was analyzed with 16S rRNA sequencing. We compared the taxonomic composition, alpha diversity, beta diversity and inferred pathway abundance between the baseline and 18 months after storage. Samples collected in the DNA/RNA Shield-fecal collection tubes showed the best performance in preservation of the taxonomic composition at 18 months. Pairwise differences in alpha diversity metrics showed the least deviation from zero. The PERMANOVA test showed non-significant change of beta diversity metrics (Unweighted Unifrac: q-value 0.268; Weighted Unifrac: q-value 0.848). The functional stability was significantly well preserved in the DNA/RNA Shield-fecal collection tubes (adjusted p value < 0.05). Our results demonstrate the use of the DNA/RNA Shield-fecal collection tube as an alternative storage method for fecal samples to preserve the taxonomic and functional stability of the microbiome over a long term.

Periodontitis is associated with the development of fungal sinusitis: A nationwide 12-year follow-up study.

AIM: The incidence of fungal sinusitis is increasing; however, its pathophysiology has not been investigated previously. We investigate the effect of periodontitis on the incidence of fungal sinusitis over a 12-year follow-up period using nationwide population-based data. MATERIALS AND METHODS: The periodontitis group was randomly selected from the National Health Insurance Service database. The non-periodontitis group was obtained by propensity score matching considering several variables. The primary end point was the diagnosis of sinonasal fungal balls (SFBs) and invasive fungal sinusitis (IFS). RESULTS: The periodontitis and non-periodontitis groups included 12,442 and 12,442 individuals, respectively. The overall adjusted hazard ratio (aHR) for SFBs in the periodontitis group was 1.46 (p = .002). In subgroup analysis, the aHR for SFBs was 1.59 (p = 0.008) for those with underlying chronic kidney disease (CKD), 1.58 (p = .022) for those with underlying atopic dermatitis, 1.48 (p = .019) for those with chronic obstructive pulmonary disease (COPD), and 1.36 (p = .030) for those with diabetes mellitus (DM), but these values are applicable only when considering the relationship between periodontitis and SFB. The aHR for IFS in the periodontitis group was higher than in the non-periodontitis group (2.80; p = .004). CONCLUSIONS: The risk of SFBs and IFS increased after diagnosis of periodontitis. This trend is often more severe in patients with DM, COPD, or CKD, but this association with underlying diseases is applicable only when considering the association between periodontitis and fungal sinusitis.

Treatment outcomes of oral doxycycline versus intravenous azithromycin in adults hospitalized with scrub typhus: A retrospective study using inverse probability treatment weighting (IPTW) propensity analysis.

OBJECTIVE: Only a few well-designed studies that have investigated the effectiveness of azithromycin in treating adult patients hospitalized with scrub typhus are currently available. The purpose of our study was to compare the effects of intravenous azithromycin administration with those of oral doxycycline, and to evaluate cardiovascular death associated with intravenous azithromycin in adult patients hospitalized with scrub typhus. METHODS: This retrospective study investigated Korean National Infectious Disease Cohort Collaborative-registered scrub typhus-infected patients who were hospitalized between January 1, 2013, and December 31, 2021, and who were ≥18 years old. The primary outcome was time to fever clearance and the secondary outcomes were treatment failure, relapse, scrub typhus-related death, or azithromycin-related cardiovascular death. To address any indication bias, inverse probability of treatment weighting (IPTW) analysis was performed. Times to fever clearance between the doxycycline and azithromycin groups were compared using log-rank tests and Kaplan-Meier curves. RESULTS: A total of 326 consecutive patients with laboratory-confirmed scrub typhus were included in this study of whom 109 were treated with azithromycin and 217 with doxycycline. Using IPTW, there were no statistically significant differences in the following end points between the azithromycin and doxycycline groups: median time to fever clearance (3 days vs. 3 days, P = 0.649), treatment failure (0.71% vs. 0.42%, P = 0.702), relapse (0.0% vs. 0.0%), and scrub typhus-related death (5.12% vs. 0.0%, P = 0.155). No azithromycin-related cardiovascular deaths occurred. In the sensitivity analyses, there were no significant changes in effect size. CONCLUSIONS: Our study showed that the therapeutic effects and safety of intravenous azithromycin are comparable to those of oral doxycycline administration in patients hospitalized with scrub typhus. A well-designed randomized controlled trial may help further evaluate the most adequate route of administration, dose and duration of treatment with azithromycin.

Influenza viral infection is a risk factor for severe illness in COVID-19 patients: a nationwide population-based cohort study.

In order to prepare for the twindemic of influenza and SARS-CoV-2 infection, we investigated the association between influenza infection and subsequent severity of SARS-CoV-2 infection. A population-based nationwide cohort study was performed using data from the National Health Insurance Service (NHIS) in the Republic of Korea. This study included 274,126 individuals who underwent SARS-CoV-2 PCR testing between 20 January 2020 and 1 October 2020. Among these patients, 28,338 tested positive for SARS-CoV-2, and 4,003 of these individuals had a history of influenza. The control group was selected through 1:1 propensity score matching. In the group of 4,003 COVID-19-positive individuals with no history of influenza, 192 (4.8%) experienced severe illness from COVID-19 infection. In the group of 4,003 COVID-19-positive individuals with a history of influenza, 260 (6.5%) had severe illness from COVID-19, and the overall adjusted odds ratio (aOR) was 1.29 (95% confidence interval 1.04-1.59). Among the 4,003 COVID-19-positive individuals with a history of influenza, severe COVID-19 infection was experienced by 143 of 1,760 (8.1%) with an influenza history within 1 year before the onset of COVID-19, 48 of 1,129 (4.3%) between 1 and 2 years, and 69 of 1,114 (6.2%) between 2 and 3 years before COVID-19 onset, and the aORs were 1.54 (1.20-1.98), 1.19 (0.84-1.70), and 1.00 (0.73-1.37), respectively. In conclusion, individuals who had an influenza infection less than 1 year before COVID-19 infection were at an increased risk of experiencing severe illness from the SARS-CoV-2 infection. To control the public health burden, it is essential that effective public health control measures, which include influenza vaccination, hand washing, cough etiquette, and mask use are in place.

Effects of rosiglitazone, an antidiabetic drug, on Kv3.1 channels.

Rosiglitazone is a thiazolidinedione-class antidiabetic drug that reduces blood glucose and glycated hemoglobin levels. We here investigated the interaction of rosiglitazone with Kv3.1 expressed in Chinese hamster ovary cells using the whole-cell patch-clamp technique. Rosiglitazone rapidly and reversibly inhibited Kv3.1 currents in a concentration-dependent manner (IC50 = 29.8 µM) and accelerated the decay of Kv3.1 currents without modifying the activation kinetics. The rosiglitazone-mediated inhibition of Kv3.1 channels increased steeply in a sigmoidal pattern over the voltage range of -20 to +30 mV, whereas it was voltage-independent in the voltage range above +30 mV, where the channels were fully activated. The deactivation of Kv3.1 current, measured along with tail currents, was also slowed by the drug. In addition, the steady-state inactivation curve of Kv3.1 by rosiglitazone shifts to a negative potential without significant change in the slope value. All the results with the use dependence of the rosiglitazone-mediated blockade suggest that rosiglitazone acts on Kv3.1 channels as an open channel blocker.

Modeling Approach with Therapeutic Drug Monitoring Data to Describe Time Course of Clozapine Exposure and Positive and Negative Syndrome Scale Scores.

OBJECTIVE: The Positive and Negative Syndrome Scale (PANSS) is commonly used to assess the severity of the clinical symptoms of schizophrenia (SCZ). This study aimed to develop a pharmacokinetic (PK)/pharmacodynamic (PD) model based on therapeutic drug monitoring (TDM) data to characterize the relationship between clozapine exposure and the PANSS scores in patients with SCZ. METHODS: TDM data for clozapine and PANSS scores from 45 patients with SCZ were included in this modeling analysis using NONMEM. Based on published data, intensive PK sampling data collected up to 12 hours postdose from 23 patients was incorporated into the PK data set to improve the fitting of absorption and disposition. For PD model development, the PANSS score was assessed at baseline, followed by 8 and 18 weeks after the initiation of clozapine dosing. Visual predictive check plots, the precision of parameter estimates, and decreases in the minimum objective function values were used for the model evaluation. RESULTS: A 2-compartment model with an absorption lag and a combined error model adequately described the PK of clozapine. The implementation of disease progression with placebo and drug effects improved the model's ability to describe the time course of the PANSS scores. In the final PK/PD model, Weibull and maximum effect (E max ) models were selected as disease progression models for the placebo and drug effect models, respectively. The model evaluation results supported the adequacy of the final model. CONCLUSIONS: A clozapine PK/PD model based on clinical settings adequately described the PANSS time course in patients with SCZ. These findings may aid the development of treatment strategies for patients with SCZ.

Pharmacokinetic Interactions Between Tegoprazan and Naproxen, Aceclofenac, and Celecoxib in Healthy Korean Male Subjects.

PURPOSE: Tegoprazan is a potassium-competitive acid blocker used for gastric acid suppression and may be used with NSAIDs to reduce gastrointestinal adverse effects. The aim of this study was to evaluate the pharmacokinetic interaction between tegoprazan and commonly used NSAIDS, namely, naproxen, aceclofenac, and celecoxib. METHODS: An open-label, 3-cohort, randomized, multiple-dose, 3-way crossover study was conducted in healthy male subjects. In cohort 1, tegoprazan (50-mg tablet, once daily) and naproxen (500-mg tablet, twice daily) were administered separately or concurrently for 7 days in each period. In cohort 2, tegoprazan and aceclofenac (100-mg tablet, twice daily) were administered separately or concurrently for 7 days in each period. In cohort 3, tegoprazan and celecoxib (200-mg capsule, twice daily) were administered separately or concurrently for 7 days in each period. Pharmacokinetic blood samples were collected up to 24 hours after the last dose. FINDINGS: Seventeen subjects from cohort 1, sixteen subjects from cohort 2, and thirteen subjects from cohort 3 were included in the pharmacokinetic analysis. In cohort 1, the geometric least squares mean ratios (90% CIs) for AUCτ (AUC profiles over the dosing interval) and Css,max (Cmax at steady state) were 1.01 (0.91-1.12) and 0.99 (0.83-1.17) for tegoprazan, and 1.00 (0.97-1.03) and 1.04 (0.99-1.09) for naproxen, respectively. The values in cohort 2 were 1.03 (0.93-1.13) and 0.94 (0.86-1.04) for tegoprazan, and 1.06 (1.00-1.12) and 1.31 (1.08-1.60) for aceclofenac. The values in cohort 3 were 1.01 (0.86-1.18) and 1.02 (0.87-1.19) for tegoprazan, and 1.08 (0.96-1.22) and 1.18 (0.97-1.43) for celecoxib. IMPLICATIONS: Changes in the maximum aceclofenac or celecoxib concentrations were detected after concurrent administration with tegoprazan, which were considered mainly due to the pharmacodynamic effect of tegoprazan. Because systemic drug exposure (shown as AUCτ) was unchanged after concurrent administration of any 3 NSAIDs with tegoprazan, the increase in aceclofenac or celecoxib Css,max when administered with tegoprazan would not be clinically significant in practice. CLINICALTRIALS: gov Identifier: NCT04639804.

Integration of a Physiologically Based Pharmacokinetic and Pharmacodynamic Model for Tegoprazan and Its Metabolite: Application for Predicting Food Effect and Intragastric pH Alterations.

A physiologically based pharmacokinetic/pharmacodynamic (PBPK/PD) model for tegoprazan and its major metabolite M1 was developed to predict PK and PD profiles under various scenarios. The PBPK model for tegoprazan and M1 was developed and predicted using the SimCYP® simulator and verified using clinical study data obtained after a single administration of tegoprazan. The established PBPK/PD model was used to predict PK profiles after repeated administrations of tegoprazan, postprandial PK profiles, and intragastric pH changes. The predicted tegoprazan and M1 concentration-time profiles fit the observed profiles well. The arithmetic mean ratios (95% confidence intervals) of the predicted to observed values for the area under the curve (AUC0-24 h), maximum plasma drug concentration (Cmax), and clearance (CL) for tegoprazan and M1 were within a 30% interval. Delayed time of maximum concentration (Tmax) and decreased Cmax were predicted in the postprandial PK profiles compared with the fasted state. This PBPK/PD model may be used to predict PK profiles after repeated tegoprazan administrations and to predict differences in physiological factors in the gastrointestinal tract or changes in gastric acid pH after tegoprazan administration.