Primary and secondary prevention of stroke and cardiovascular events using evolocumab and alirocumab: Meta-analysis of randomized controlled trials.

OBJECTIVES: Although the clinical role of protein convertase subtilisin kexin type 9 (PCSK9) inhibitors for cholesterol management is increasing, the post-marketing period of use is short compared to other lipid-lowering drugs, so there is still insufficient evidence for their efficacy and safety. In this meta-analysis, we evaluated preventive effects of stroke and cardiovascular (CV) events using evolocumab and alirocumab. MATERIALS AND METHODS: We assessed the relative risk of stroke and CV events after alirocumab or evolocumab treatment in individuals with or without clinical CV diseases compared with that in controls. In addition, we evaluated the relative risk of hemorrhagic stroke. RESULTS: A total of 25 articles were included (median of study duration = 52 weeks). The risk of stroke was significantly decreased after treatment with alirocumab or evolocumab (primary prevention in patients without CV diseases: RR = 0.733; 95% CI, 0.618 - 0.870; secondary prevention in patients with CV diseases: RR = 0.703; 95% CI, 0.562 - 0.880). The risk of CV events also significantly decreased in patients treated with alirocumab or evolocumab (primary prevention: RR = 0.818; 95% CI, 0.777 - 0.861; secondary prevention: RR = 0.725; 95% CI, 0.578 - 0.910). The relative risk of hemorrhagic stroke was not significantly different between PCSK9 inhibitor-treated patients and controls (RR = 1.041; 95% CI, 0.690 - 1.573). CONCLUSION: Our findings indicate that evolocumab and alirocumab are significantly effective without increasing the risk of hemorrhagic stroke. Based on this, the PCSK9 inhibitors can be highly recommended for cholesterol management.

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.

Bioanalytical Method Using Ultra-High-Performance Liquid Chromatography Coupled with High-Resolution Mass Spectrometry (UHPL-CHRMS) for the Detection of Metformin in Human Plasma.

Metformin is the first-line medicine for the treatment of type 2 diabetes. Drug interactions between metformin and other drugs, food, or beverages cannot only cause changes in the pharmacokinetic profiles but also affect the efficacy of metformin. The purpose of this study was to develop a rapid and reliable bioanalytical method for the detection of plasma metformin concentration in humans. To remove interfering substances in plasma, acidified acetonitrile (acetonitrile containing 0.1% formic acid) was added to samples. Ultra-high-performance liquid chromatography (UHPLC) coupled with high resolution mass spectrometry (HRMS) was used to analyze metformin and its internal standard (metformin-d6). Analyte separation was performed on a BEH HILIC analytical column (100 × 2.1 mm, 1.7 µm) using a gradient elution of 0.1% formic acid (A) and acetonitrile with 0.1% formic acid (B). The total chromatographic run time was 2 min. The developed method was validated for its linearity, accuracy and precision, selectivity (signal of interfering substance; analyte, lower limit of quantification (LLOQ) ≤ 20%; IS, IS ≤ 5%), sensitivity (LLOQ, 5 ng/mL; S/N ratio ≥ 10), stability (low quality control (LQC, 15 ng/mL), 2.95-14.19%; high quality control (HQC, 1600 ng/mL), -9.49-15.10%), dilution integrity (diluted QC (4000 ng/mL); 10-folds diluted QC (400 ng/mL); 5-folds diluted QC (800 ng/mL); accuracy, 81.30-91.98%; precision, ≤4.47%), carry-over (signal of double blank; analyte, LLOQ ≤20%; IS, IS ≤5%), and matrix effect (LQC, 10.109%; HQC, 12.271%) under various conditions. The constructed calibration curves were shown linear in the concentration range of 5-2000 ng/mL, with within- and between-run precision values of <8.19% and accuracy in the range of 91.13-105.25%. The plasma metformin concentration of 16 healthy subjects was successfully measured by applying the validated bioanalytical method.

Quantitative Analysis of Four Catechins from Green Tea Extract in Human Plasma Using Ultra-Performance Liquid Chromatography-Tandem Mass Spectrometry for Pharmacokinetic Studies.

Green tea is consumed as a beverage worldwide and has beneficial effects, such as a lower risk of cardiovascular disease and cancer. A quantitative analysis of the beneficial components in plasma is important for understanding the potential health benefits of green tea. Four catechins­epigallocatechin-3-gallate (EGCG), epicatechin-3-gallate (ECG), epigallocatechin (EGC), and epicatechin (EC)­which account for the majority of the components of green tea, were analyzed by ultra-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS). In this study, a validated method was optimized to obtain the blood concentrations after the one-time ingestion of 630 mg green tea extract with digoxin and then after the ingestion of 630 mg green tea repeatedly for 15 days. The calibration curve, including the LLOQ, was constructed over 1⁻500 ng/mL for EGCG, ECG, and EGC and 0.1⁻50 ng/mL for EC. The method for inter- and intra-validation was applied, acceptable for both accuracy and precision. We successfully developed an appropriate UPLC-MS/MS method for human plasma with good reproducibility and sensitivity. Thus, this method could be applied for future preclinical and clinical studies on EGCG, ECG, EGC, and EC.

A Pharmacometabolomic Approach to Predict Response to Metformin in Early-Phase Type 2 Diabetes Mellitus Patients.

Metformin is a first-line medication for type 2 diabetes mellitus (T2DM). Based on its universal use, the consideration of inter-individual variability and development of predictive biomarkers are clinically significant. We aimed to identify endogenous markers of metformin responses using a pharmacometabolomic approach. Twenty-nine patients with early-phase T2DM were enrolled and orally administered metformin daily for 6 months. A total of 22 subjects were included in the final analysis. Patients were defined as responders or non-responders based on changes in their glycated haemoglobin A1c (HbA1c) from baseline, over 3 months. Urine metabolites at baseline, as well as at the 3 and 6 month follow-ups after the start of treatment were analysed using gas chromatography-mass spectrometry and evaluated with multivariate analyses. Metabolites distinguishable between the two response groups were obtained at baseline, as well as at the 3 and 6 month follow-ups, and significantly different metabolites were listed as markers of metformin response. Among the identified metabolites, citric acid, myoinositol, and hippuric acid levels showed particularly significant differences between the non-responder and responder groups. We thus identified different metabolite profiles in the two groups of T2DM patients after metformin administration, using pharmacometabolomics. These results might facilitate a better understanding and prediction of metformin response and its variability in individual patients.

An assessment of the pharmacokinetics, pharmacodynamics, and tolerability of GCPGC, a novel pegylated granulocyte colony-stimulating factor (G-CSF), in healthy subjects.

INTRODUCTION: A pegylated recombinant human granulocyte colony-stimulating factor (G-CSF) is effective in reducing the severity and duration of neutropenia. This study was performed to investigate the pharmacokinetics (PK), pharmacodynamics (PD), and tolerability of GCPGC, a new formulation of pegylated G-CSF, in healthy volunteers and to compare them with those of pegfilgrastim (Neulasta®). METHODS: Twenty-five healthy Korean male volunteers randomly received a single subcutaneous (SC) GCPGC injection at a dose of 30 (n = 10), 100 (n = 10), or 300 (n = 5) µg/kg or placebo in a 4:1 ratio in a double-blind manner. Additionally, 8 subjects received a SC dose of pegfilgrastim at 100 µg/kg. Blood samples were collected up to 14 days after both therapies. The absolute neutrophil count (ANC) and CD34(+) cell counts were the PD markers. RESULTS: After GCPGC administration, 4 different pharmacokinetic phases were identified, indicating target-mediated drug disposition (TMDD) for the elimination of GCPGC, which was slowed down as the dose was increased, resulting in a higher than proportional dose-normalized exposure to GCPGC. Although GCPGC was cleared faster than pegfilgrastim, leading to a 19 % lower systemic exposure to pegylated G-CSF, the increase in ANC and CD34(+) were ~20 % greater by GCPGC at 100 µg/kg than pegfilgrastim. Thrombocytopenia, splenomegaly, and hemoperitoneum occurred in one subject in the 300 µg/kg GCPGC group, which resolved completely with appropriate care. CONCLUSIONS: GCPGC showed a non-linear TMDD. The PK-PD characteristics of GCPGC at 30-100 µg/kg were comparable to those of pegfilgrastim at 100 µg/kg. GCPGC at 30-100 µg/kg was well tolerated in healthy Korean males.

Trough concentration over 12.1 mg/L is a major risk factor of vancomycin-related nephrotoxicity in patients with therapeutic drug monitoring.

BACKGROUND: High doses of vancomycin increase the risk of nephrotoxicity, but the quantitative relationship between vancomycin exposure and nephrotoxicity is still controversial. This study evaluated the relationship between vancomycin trough concentration and nephrotoxicity, and risk factors for nephrotoxicity in patients undergoing therapeutic drug monitoring. METHODS: A total of 1269 cases from patients who underwent therapeutic drug monitoring were collected from 2006 to 2010. Receiver operating characteristic curve analysis was used to evaluate the relationship between trough concentration and the incidence of nephrotoxicity. Logistic regression using the generalized Least Absolute Shrinkage and Selection Operator (lasso) method was used to evaluate possible risk factors for nephrotoxicity. The data were divided into high/low-concentration groups by the cutoff value obtained from the receiver operating characteristic curve, and additional logistic regression using the generalized lasso method was performed for each group. RESULTS: The cutoff value of the vancomycin trough concentration was 12.1 mg/L. Patients with high concentrations (>12.1 mg/L) were more likely to develop nephrotoxicity (odds ratio = 16.0, 95% confidence interval, 8.2-31.1). The vancomycin trough concentration was the only significant risk factor for nephrotoxicity identified using the generalized lasso (P < 0.001). In contrast, no factor was associated with nephrotoxicity in the low-concentration group. CONCLUSIONS: Vancomycin trough concentrations over 12.1 mg/L were associated with an increased risk of nephrotoxicity. This is lower than the known threshold. Trough vancomycin concentration over the threshold was the only risk factor of nephrotoxicity among demographic factors, dosing regimen, and other clinical conditions in this study. It is suggested that vancomycin trough concentrations greater than 12.1 mg/L require close monitoring for nephrotoxicity.

Dose selection method for pharmacokinetic study in hemodialysis patients using a subpharmacological dose: oseltamivir as a model drug.

BACKGROUND: Dose selection is an important step in pharmacokinetic (PK) studies of hemodialysis patients. We propose a simulation-based dose-selection method for PK studies of hemodialysis patients using a subpharmacological dose of oseltamivir as a model drug. METHODS: The concentrations of oseltamivir and its active metabolite, oseltamivir carboxylate (OC), were measured by liquid chromatography-tandem mass spectrometry. To determine a low oseltamivir dose exhibiting PK linearity, a pilot low dose determination investigation (n = 4) was performed using a single administration dose-escalation study. After the dose was determined, a low dose study (n = 10) was performed, and the optimal dose required to reach the hypothetical target OC exposure (area under the concentration-time curve [AUC] of 60,000 ng · hr/mL) was simulated using a nonparametric superposition method. Finally, observed PKs at the optimal dose were compared to the simulated PKs to verify PK predictability. RESULTS: In the pilot low dose determination study, 2.5 mg of oseltamivir was determined to be the low dose. Subsequently, we performed a single-dose PK study with the low oseltamivir dose in an additional group of 10 hemodialysis patients. The predicted AUC last of OC following continuous oseltamivir doses was simulated, and 35 mg of oseltamivir corresponded to the hypothetical target AUC last of OC. The observed PK profiles of OC at a 35-mg oseltamivir dose and the simulated data based on the low dose study were in close alignment. CONCLUSION: The results indicate that the proposed method provides a rational approach to determine the proper PK dose in hemodialysis patients.

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.

Population pharmacokinetic modeling of sufentanil in adult Korean patients undergoing cardiopulmonary bypass surgery.

Sufentanil is frequently used as an anesthetic agent in cardiac surgery owing to its cardiovascular safety and favorable pharmacokinetics. However, the pharmacokinetics profiles of sufentanil in patients undergoing cardiopulmonary bypass (CPB) surgery remain less understood, which is crucial for achieving the desired level of anesthesia and mitigating surgical complications. Therefore, this study aimed to develop a population pharmacokinetic model of sufentanil in patients undergoing CPB surgery and elucidate the clinical factors affecting its pharmacokinetic profile. Adult patients who underwent cardiac surgery with CPB and were administered sufentanil for anesthesia were enrolled. Arterial blood samples were collected to quantify plasma concentrations of sufentanil and clinical laboratory parameters, including inflammatory cytokines. A population pharmacokinetic model was established using nonlinear mixed-effects modeling. Simulations were performed using the pharmacokinetic parameters of the final model. Overall, 20 patients were included in the final analysis. Sufentanil pharmacokinetics were modeled using a two-compartment model, accounting for CPB effects. Sufentanil clearance increased 2.80-fold during CPB and warming phases, while the central compartment volume increased 2.74-fold during CPB. CPB was a significant covariate affecting drug clearance and distribution volume. No other significant covariates were identified despite increased levels of the inflammatory cytokines, including IL-6, IL-8, and TNF-α during CPB. The simulation indicated a 30 µg loading dose and 40 µg/h maintenance infusion for target-controlled infusion. Additionally, a bolus dose of 60 µg was added at CPB initiation to adjust for exposure changes during this phase. Considering the target sufentanil concentrations, a uniform dosing regimen was acceptable for effective analgesia.

Strong inhibition of organic cation transporter 2 by flavonoids and attenuation effects on cisplatin-induced cytotoxicity.

Organic cation transporter 2 (OCT2) is predominantly expressed in the basolateral membrane of renal proximal tubule cells and contributes to the renal excretion of various drugs such as metformin, cisplatin, oxaliplatin, cimetidine, and lamivudine. Cisplatin, an anticancer agent for various cancers, is a substrate of OCT2, and cisplatin-induced nephrotoxicity is in part attributed to OCT2 activity in the kidney, which increases the renal accumulation of cisplatin. In this study, we aimed to identify flavone derivatives with strong inhibitory effects on OCT2 transport. Among the 80 flavonoids tested, 24 showed moderate to strong inhibitory effects against OCT2 transport activity. The IC50 values were less than 5 µM for 10 flavonoids. All 10 compounds alleviated cisplatin-induced cytotoxicity in cells expressing OCT2, even though the magnitude of the effects varied depending on the functional moieties in each position. Multiple factor analysis revealed that the methyl group at the R1 position and methoxy group at the R6 position of the flavonol backbone are important for OCT2 inhibition. Information on the functional moieties in the flavonol backbone would help develop effective OCT2 inhibitors by providing a structural association with OCT2 inhibitory effects. In addition, the compounds with strong inhibitory effects on OCT2 identified in this study may be potential candidates for clinical use to mitigate cisplatin-induced nephrotoxicity.

Drug-Drug interactions of docetaxel in patients with breast cancer based on insurance claims data.

Despite an increase in the use of targeted anticancer drugs and immunotherapy, cytotoxic anticancer drugs such as docetaxel continue to play a clinically important role. The aim of this study was to evaluate drug-drug interactions between docetaxel and coadministered medicines in patients with breast cancer a claims database. The Health Insurance Review and Assessment Service (HIRA) database (2017 to 2019) was used in this study. We evaluated the risk of neutropenia (defined using receipt of granulocyte colony-stimulating factor (G-CSF) prescriptions) under docetaxel administration or the coadministration of docetaxel and an interacting anticancer drug (predefined based on approval information obtained from the Korean Ministry of Food and Drug Safety and the Lexicomp electronic database). The propensity score matching method was applied to balance covariates in the case (patients with G-CSF prescriptions) and control (patients without G-CSF prescriptions) groups. We identified 947 female patients with breast cancer prescribed with docetaxel and excluded 321 patients based on inclusion criteria. Of the remaining 626 patients, 280 were assigned to the case group and 346 to the control group. Predefined drugs were coadministered to 71 (11.3%) patients during the 7-day period before and after the administration of docetaxel. Adjusted odds ratios (ORs) calculated using the logistic regression model applied to the propensity score matching showed no significant difference between the administration of docetaxel alone and docetaxel coadministration (adjusted OR, 2.010; 95% confidence interval, 0.906, 4.459). In conclusion, we suggest that coadministration of docetaxel and a predefined interacting drug are not associated with G-CSF prescription.

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.

Application of tree-based machine learning classification methods to detect signals of fluoroquinolones using the Korea Adverse Event Reporting System (KAERS) database.

BACKGROUND: Safety issues for fluoroquinolones have been provided by regulatory agencies. This study was conducted to identify signals of fluoroquinolones reported in the Korea Adverse Event Reporting System (KAERS) using tree-based machine learning (ML) methods. RESEARCH DESIGN AND METHODS: All adverse events (AEs) associated with the target drugs reported in the KAERS from 2013 to 2017 were matched with drug label information. A dataset containing label-positive and -negative AEs was arbitrarily divided into training and test sets. Decision tree, random forest (RF), bagging, and gradient boosting machine (GBM) were fitted on the training set with hyperparameters tuned using five-fold cross-validation and applied to the test set. The ML method with the highest area under the curve (AUC) scores was selected as the final ML model. RESULTS: Bagging was selected as the final ML model for gemifloxacin (AUC score: 1) and levofloxacin (AUC: 0.9987). RF was selected in ciprofloxacin, moxifloxacin, and ofloxacin (AUC scores: 0.9859, 0.9974, and 0.9999 respectively). We found that the final ML methods detected additional signals that were not detected using the disproportionality analysis (DPA) methods. CONCLUSIONS: The bagging-or-RF-based ML methods performed better than DPA and detected novel AE signals previously unidentified using the DPA methods.

Assessment of the drug-drug interactions between fimasartan and hydrochlorothiazide in healthy volunteers.

AIM: Fimasartan is a selective angiotensin II receptor blocker. Hydrochlorothiazide (HCTZ), which is used to treat hypertension and edematous conditions, is coadministered with many antihypertensive agents. METHODS: An open-label, randomized, multiple-dosing, 2-arm, 1-sequence, 2-period study was conducted to assess the effects of fimasartan (240 mg) on HCTZ (25 mg) or vice versa in 18 and 14 healthy male volunteers, respectively. During each drug administration period, drugs were given once daily for 7 days, with a 7-day washout period between the 2 administration periods. RESULTS: The respective geometric mean ratios of fimasartan for AUC τ,ss and C max,ss with HCTZ were 1.30 [90% confidence interval (CI), 0.84-2.01] and 1.17 (90% CI, 0.93-1.47) compared with fimasartan alone. The respective geometric mean ratios of HCTZ for AUC τ,ss and C max,ss with fimasartan were 0.94 (90% CI, 0.84-1.04) and 0.88 (90% CI, 0.80-0.97) compared with HCTZ alone. Plasma renin activity indicated no significant differences between fimasartan monotherapy and coadministered treatment. CONCLUSIONS: Fimasartan administered alone or in combination with HCTZ was well tolerated at the described dosages. Coadministration of fimasartan increased the urinary excretion of HCTZ and urine volume, but these observations are unlikely to have any clinical relevance.

Reduced valproic acid serum concentrations due to drug interactions with carbapenem antibiotics: overview of 6 cases.

BACKGROUND: The plasma concentrations of valproic acid (VPA) are known to decrease during the concomitant administration of carbapenem antibiotics, such as meropenem, imipenem, and ertapenem. This study summarizes 6 cases of drug-drug interactions between VPA and carbapenem antibiotics. METHODS: To investigate the onset and severity of the reductions in the concentration of VPA in patients with or without the coadministration of carbapenem antibiotics, the authors performed a retrospective evaluation of therapeutic drug monitoring (TDM) reports that described a decrease in the serum concentrations of VPA during the concomitant use of carbapenem antibiotics from January 2008 to December 2010 in the Seoul National University Hospital. The evaluated TDM reports included 6 cases. The decrement ratio of the VPA serum concentration was calculated from the TDM reports, and the change in the half-life of the VPA was also estimated. RESULTS: Six cases presented with changes in the VPA serum concentration before and after the administration of carbapenem antibiotics. (Three cases were treated with meropenem, 2 were treated with ertapenem, and 1 was treated with imipenem.) The VPA concentrations reduced by (mean ± SD) 88.7 ± 5.3% (3 cases of meropenem), 74.0 ± 9.8% (2 cases of ertapenem), and 73.3% (1 case of imipenem), respectively, and the half-life of VPA reduced by 80.1 ± 9.0%, 64.4 ± 24.2%, and 50.6%, respectively. CONCLUSION: The interaction between VPA and carbapenem antibiotics caused decreases in the VPA serum concentrations; the extent of this decrease was greater in the meropenem-treated patients than in the imipenem-treated or ertapenem-treated cases. Because the therapeutic effect of VPA depends on its serum concentration, it should be recognized that there may be a loss of seizure control in patients using VPA with carbapenem antibiotics.

Multiple-dose pharmacokinetics of fesoterodine sustained-release in healthy Korean volunteers.

OBJECTIVE: Fesoterodine is a pro-drug of the active metabolite 5-hydroxymethyl tolterodine (5-HMT), a muscarinic receptor antagonist. This study aimed to evaluate the safety profile and pharmacokinetic characteristics of multiple oral doses of sustained-release fesoterodine (fesoterodine SR) in healthy Korean males. METHODS: A randomized, double-blind, placebo-controlled, multiple-dose study with two oral doses (4 mg and 8 mg) was conducted in healthy Korean male participants. The study drug was administered once daily for 5 days. The plasma concentration of 5-HMT was measured up to 72 hours after the last drug administration. The CYP2D6 genotype was analyzed using polymerase chain reaction (PCR) methods to assess the effect of genetic polymorphisms on the pharmacokinetic parameters. RESULTS: 20 participants completed the study. The mean (SD) areas under the plasma concentration-time curves during the dosing interval (AUCτ) of the 4 mg and 8 mg dose groups were 26.1 (8.0) and 64.2 (30.5) µg·h/ml and the mean peak concentrations (Cmax) were 2.6 (0.7) and 6.0 (2.0) µg/ml, respectively, at steady-state. The mean AUCτ and Cmax of 5-HMT increased in approximately the same proportion as the dose increased. Fesoterodine SR was well tolerated without any serious adverse events or abnormal clinical laboratory findings. CONCLUSION: Systemic 5-HMT exposure showed dose-proportional characteristics in the 4 mg to 8 mg dose range in healthy Korean males. Thus, 4 mg or 8 mg doses of fesoterodine SR taken once-daily were tolerable in healthy Korean males.

Evaluation of the pharmacokinetic interaction between the dipeptidyl peptidase IV inhibitor LC15-0444 and pioglitazone in healthy volunteers.

OBJECTIVE: LC15-0444, a newly developed selective dipeptidyl peptidase IV inhibitor, has the potential to be administered with other antihyperglycemic agents. The aim of this study was to investigate the interaction between LC15-0444 and pioglitazone by comparing the pharmacokinetics of both compounds and their metabolites. METHODS: A randomized, open-label, multiple dosing, three-sequence, three-period, three-treatment crossover study was performed in healthy volunteers. The three treatment groups were comprised of LC15-0444 200 mg, pioglitazone 30 mg, or coadministration of both drugs once daily for 12 days. Blood samples were collected up to 48 hours after the last dosing. Safety and tolerability were assessed throughout the study. RESULTS: The geometric mean ratios (GMRs; (LC15-0444+Pioglitazone coadministered)/(LC15-0444 or Pioglitazone alone)) (90% confidence intervals (CIs)) for Cmax,ss and AUCt,ss of LC15-0444 were 1.06 (0.96-1.16) and 0.98 (0.93-1.03), respectively. In the case of pioglitazone, the GMRs (90% CIs) for Cmax,ss and AUCt,ss were 0.84 (0.73-0.96) and 0.85 (0.76-0.96), respectively. All reported adverse events were mild in intensity. CONCLUSIONS: The pharmacokinetics of LC15-0444 and its metabolites were not altered by pioglitazone. The systemic exposure of pioglitazone was decreased by 15% after coadministration of LC15-0444 with pioglitazone, but this was not judged to be clinically relevant, considering the total active moiety of pioglitazone.

A positron emission tomography microdosing study with sertraline in healthy volunteers.

OBJECTIVE: This study explored microdosing methods for evaluating the distribution and pharmacokinetics (PK) of a central nervous system (CNS) drug candidate. METHODS: We used sertraline as a model drug. In this open-label, one-arm, three-period, multiple-dosing study, 10 healthy male volunteers received 6-day administrations of sertraline at doses of 5, 25 or 50 mg/d in three different periods. Before the first dose of Period 1, and 24 h after the last dose of each period, an intravenous bolus of [11C]sertraline was injected for positron emission tomography (PET) scanning. After the sixth dose in each period, serial blood samples were collected at scheduled intervals over 48 h; then serum sertraline concentrations were determined with liquid chromatography-tandem mass spectrometry (LC-MS/MS). RESULTS: Sertraline was distributed in the brain within 20 min, and it was highly distributed in the putamen, cingulate, and thalamus. Linearity in steady-state Cmax and AUClast were observed in the 5 - 50 mg dose range. The results suggested that microdosing with PET was a useful method for exploring the bloodbrain- barrier penetration and distribution of a candidate CNS drug. CONCLUSIONS: This study described a microdosing method that combined PET with LC-MS/MS for determining the brain distribution and PK characteristics of a CNS drug candidate.

Incorporation of real-world data to a clinical trial: use of external controls.

As real-world data (RWD) becomes more available and the methodology for handling RWD evolves, the use of RWD in drug development and drug approval is drawing interest. One of the ways RWD can be applied to a clinical trial is using an external control, a cohort of patients established separately serving as a control group for the clinical trial's treatment group. Although external controls have the possibility of bias as a result of differences in baseline characteristics between the external control and experimental groups, selecting an appropriate data source and ensuring comparability through proper handling of the data can increase the utility of external controls, raising the efficiency of drug development. This article discusses several topics relevant to using external controls in clinical trials, including the definition of external control, the selection of data sources, the strategy ensuring comparability, current regulatory circumstances, and future directions.