AUC Ratio Research Articles

Bioequivalence Study of 2 Formulations of Rivaroxaban, a Narrow‐Therapeutic‐Index Drug, in Healthy Chinese Subjects Under Fasting and Fed Conditions

This study aimed to evaluate the bioequivalence (BE) of 2 formulations of the 10-mg rivaroxaban tablet. The study was a randomized, open-label, 4-period, crossover study that included 28 healthy subjects in fasting or fed conditions. The pharmacokinetic parameters were determined based on the concentrations of rivaroxaban using high-performance liquid chromatography with a tandem mass spectrometer detector. In each of the 4 study periods with fasting or fed conditions, a single dose of test or reference product was administered. Rivaroxaban concentrations in plasma were determined using a validated liquid chromatography with a tandem mass spectrometer detector method. The pharmacokinetic parameters assessed were the area under the plasma concentration-time curve (AUC0-t , AUC0-∞ ), the peak plasma concentration of the drug (Cmax ), time to achieve Cmax , elimination half-life, within-subject variability of test drug, and within-subject variability of reference drug. The geometric mean ratio (90%CI) of the test drug/reference drug for rivaroxaban was 90.38% to 103.60% for AUC0-t in fasting conditions and 90.13% to 100.42% in fed conditions. The AUC0-∞ s were 89.94% to 102.50% and 90.14% to 100.45% under fasting and fed conditions, respectively. The Cmax values were 90.58% to 105.01% and 96.36% to 108.07% in these 2 conditions, respectively. All 90%CIs for test drug/reference drug geometric mean ratio were ≤2.5. The 90%CIs for test/reference AUC ratio and Cmax ratio were within the acceptable range for BE. There were no adverse events encountered during this BE study. The study's results indicated that the 2 formulations of the rivaroxaban tablet were bioequivalent.

Choosing Clinical Variables for Risk Stratification Post-Acute Coronary Syndrome

Most risk stratification methods use expert opinion to identify a fixed number of clinical variables that have prognostic significance. In this study our goal was to develop improved metrics that utilize a variable number of input parameters. We first used Bootstrap Lasso Regression (BLR) – a Machine Learning method for selecting important variables – to identify a prognostic set of features that identify patients at high risk of death 6-months after presenting with an Acute Coronary Syndrome. Using data derived from the Global Registry of Acute Coronary Events (GRACE) we trained a logistic regression model using these features and evaluated its performance on a development set (N = 43,063) containing patients who have values for all features, and a separate dataset (N = 6,363) that contains patients who have missing feature values. The final model, Ridge Logistic Regression with Variable Inputs (RLRVI), uses imputation to estimate values for missing features. BLR identified 19 features, 8 of which appear in the GRACE score. RLRVI had modest, yet statistically significant, improvement over the standard GRACE score on both datasets. Moreover, for patients who are relatively low-risk (GRACE≤87), RLRVI had an AUC and Hazard Ratio of 0.754 and 6.27, respectively, vs. 0.688 and 2.46 for GRACE, (p < 0.007). RLRVI has improved discriminatory performance on patients who have values for the 8 GRACE features plus any subset of the 11 non-GRACE features. Our results demonstrate that BLR and data imputation can be used to obtain improved risk stratification metrics, particularly for patients who are classified as low risk using traditional methods.

Assessment of mouse liver [1-13C]pyruvate metabolism by dynamic hyperpolarized MRS.

Hyperpolarized [1-13C]pyruvate magnetic resonance (MR) spectroscopy has the unique ability to detect real-time metabolic changes in vivo owing to its high sensitivity compared with thermal MR and high specificity compared with other metabolic imaging methods. The aim of this study was to explore the potential of hyperpolarized MR spectroscopy for quantification of liver pyruvate metabolism during a hyperinsulinemic-isoglycemic clamp in mice. Hyperpolarized [1-13C]pyruvate was used for in vivo MR spectroscopy of liver pyruvate metabolism in mice. Mice were divided into two groups: (i) non-stimulated 5-h fasted mice and (ii) hyperinsulinemic-isoglycemic clamped mice. During clamp conditions, insulin and donor blood were administered at a constant rate, whereas glucose was infused to maintain isoglycemia. When steady state was reached, insulin-stimulated mice were rapidly infused with hyperpolarized [1-13C]pyruvate for real-time tracking of the dynamic distribution of metabolic derivatives from pyruvate, such as [1-13C]lactate, [1-13C]alanine and [13C]bicarbonate. Isotopomer analysis of plasma glucose confirmed 13C-incorporation from [1-13C]pyruvate into glucose was increased in fasted mice compared with insulin-stimulated mice, demonstrating an increased gluconeogenesis in fasted mice. The AUC ratios for [1-13C]alanine/[1-13C]pyruvate (38.2%), [1-13C]lactate/[1-13C]pyruvate (41.8%) and [13C]bicarbonate/[1-13C]pyruvate (169%) all increased significantly during insulin stimulation. Hyperpolarized [1-13C]pyruvate can be used for in vivo MR spectroscopy of liver pyruvate metabolism during hyperinsulinemic-isoglycemic clamp conditions. Under these conditions, insulin decreased gluconeogenesis and increased [1-13C]alanine, [1-13C]lactate and [13C]bicarbonate after a [1-13C]pyruvate bolus. This application of in vivo spectroscopy has the potential to identify impairments in specific metabolic pathways in the liver associated with obesity, insulin resistance and nonalcoholic fatty liver disease.

Assessing pharmacokinetic differences in Caucasian and East Asian (Japanese, Chinese and Korean) populations driven by CYP2C19 polymorphism using physiologically-based pharmacokinetic modelling

Understanding the influence of ethnicity on drug exposure is key to patient safety and could minimize repetitive clinical studies. This analysis aimed to evaluate the ability of physiologically-based pharmacokinetic modelling to predict exposure of CYP2C19 substrates (lansoprazole, (es)citalopram, voriconazole) across Caucasian and East Asian populations. CYP2C19 abundance levels in Japanese and Chinese populations have been re-assessed based on clinical evidence. Model performance in each population was evaluated by predicted-over-observed AUC ratios and comparison of observed data with simulated plasma concentration profiles. Exposures in 84.4% (76 out of 90) of the clinical studies were predicted within 1.5-fold of observed values. The reported concentration-time profiles were well-captured within the 90% prediction intervals. With specified CYP2C19 phenotype, PBPK modelling is capable to predict systemic exposure of drugs largely metabolized by CYP2C19 in different ethnic populations. This study demonstrated PBPK modelling can be applied to assess genotype-dependent exposure difference across ethnicities.

Short-lasting inhibition of hepatic uptake transporter OATP1B1 by tyrosine kinase inhibitor pazopanib

Risk assessment of organic anion transporting polypeptide 1B1 (OATP1B1)-mediated drug-drug interactions (DDIs) is an integral part of drug development, but the difficult aspects in DDI prediction include complex mechanism of OATP1B1 inhibition. Pazopanib, an orally available tyrosine kinase inhibitor, exhibits OATP1B1 inhibition and clinically interacts with some OATP1B1 substrates, although quantitative analysis of DDI potential has not yet been performed. The purpose of the present study was to characterize the inhibitory effect of pazopanib on OATP1B1-mediated transport. Inhibition by pazopanib of OATP1B1-mediated uptake of two typical substrates, [3H]estrone-3-sulfate (E1S) and [3H]estradiol-17β-glucuronide, assessed in HEK293/OATP1B1 cells, was more obvious after preincubation with pazopanib compared with no preincubation. The reduction in IC50 values was 3–7 times greater and was comparable with the preincubation effect of another long-lasting inhibitor, cyclosporine A (CsA). Preincubation with pazopanib and CsA tended to similarly reduce Vmax and increase Km values of E1S. However, the reduced OATP1B1 activity by preincubation with pazopanib was more rapidly recovered than CsA. In addition, R value, which predicts the maximum increase in the AUC ratio of victim drugs, was calculated to be 1.09. These results suggest that pazopanib is preincubation-dependent but a short-lasting inhibitor against OATP1B1 with low potential of OATP1B1-mediated DDIs.

Prediction of the Impact ofCytochrome P450 2C9 Genotypes on the Drug-Drug Interaction Potential of Siponimod With Physiologically-Based Pharmacokinetic Modeling: A Comprehensive Approach for Drug Label Recommendations.

We predicted the drug–drug interaction (DDI) potential of siponimod in presence of cytochrome P450 (CYP)2C9/CYP3A4 inhibitors/inducers in subjects with different CYP2C9 genotypes by physiologically‐based pharmacokinetic (PK) modeling. The model was established using in vitro and clinical PK data and verified by adequately predicting siponimod PK when coadministered with rifampin. With strong and moderate CYP3A4 inhibitors, an increased DDI risk for siponimod was predicted for CYP2C9*3/*3 genotype vs. other genotypes area under the curve ratio (AUCR): 3.03–4.20 vs. ≤ 1.49 for strong; 2.42 vs. 1.14–1.30 for moderate. AUCRs increased with moderate (2.13–2.49) and weak (1.12–1.42) CYP3A4/CYP2C9 inhibitors to the same extent for all genotypes. With strong CYP3A4/moderate CYP2C9 inducers and moderate CYP3A4 inducers, predicted AUCRs were 0.21–0.32 and 0.35–0.71, respectively. This complementary analysis to the clinical PK‐DDI studies confirmed the relevant influence of CYP2C9 polymorphism on the DDI behavior of siponimod and represented the basis for the DDI labeling recommendations.

Effect of Size on Solid Tumor Disposition of Protein Therapeutics.

In this study, we evaluated the effect of size on tumor disposition of protein therapeutics, including the plasma and tumor pharmacokinetics (PK) of trastuzumab (∼150 kDa), FcRn-nonbinding trastuzumab (∼150 kDa), F(ab)2 fragment of trastuzumab (∼100 kDa), Fab fragment of trastuzumab (∼50 kDa), and trastuzumab scFv (∼27 kDa) in both antigen (i.e., HER2)-overexpressing (N87) and antigen-nonexpressing (MDA-MB-468) tumor-bearing mice. The observed data were used to develop the maximum tumor uptake versus molecular weight and tumor-to-plasma area under the curve (AUC) ratio versus molecular weight relationships. Comparison of the PK of different sizes of FcRn nonbinding molecules in target-expressing tumor showed that ∼100 kDa is an optimal size to achieve maximum tumor uptake and ∼50 kDa is an optimal size to achieve maximum tumor-to-plasma exposure ratio of protein therapeutics. The PK data were also used to validate a systems PK model for tumor disposition of different-sized protein therapeutics. The PK model was able to predict a priori the PK of all five molecules in both tumor types reasonably well (within 2- to 3-fold). In addition, the model captured the bell-shaped relationships observed between maximum tumor uptake and molecular weight and between tumor-to-plasma AUC ratio and molecular weight. Our results provide an unprecedented insight into the effect of size and target engagement on the tumor PK of protein therapeutics. Our results also provide further validation of the tumor disposition model, which can be used to support discovery, development, and preclinical-to-clinical translation of different sizes of protein therapeutics. SIGNIFICANCE STATEMENT: This article highlights the importance of molecular size and target engagement on the tumor disposition of protein therapeutics. Our results suggest that ∼100 kDa is an optimal size to achieve maximum tumor uptake and ∼50 kDa is an optimal size to achieve maximum tumor-to-plasma exposure ratio for non-FcRn-binding targeted protein therapeutics. We also demonstrate that a systems pharmacokinetics model developed to characterize tumor disposition of protein therapeutics can predict a priori the disposition of different-sized protein therapeutics in target-expressing and target-nonexpressing solid tumors.

Effects of CYP3A inhibitors on the pharmacokinetics of quizartinib, a potent and selective FLT3 inhibitor, and its active metabolite.

AimsQuizartinib is an oral, highly potent and selective next‐generation FMS‐like tyrosine kinase 3 (FLT3) inhibitor under investigation in patients with FLT3‐internal tandem duplication‐mutated acute myeloid leukaemia. This drug–drug interaction study assessed the pharmacokinetics (PK) of quizartinib when coadministered with strong or moderate cytochrome P450 3A (CYP3A) inhibitors.MethodsIn this parallel‐group study, subjects were randomised to receive: (i) quizartinib + ketoconazole; (ii) quizartinib + fluconazole; or (iii) quizartinib alone. On Days 1–28, subjects received ketoconazole 200 mg or fluconazole 200 mg twice daily, and on Day 8, all subjects received a single 30‐mg quizartinib dose. Blood samples were collected for PK analyses, steady‐state PK parameters were simulated by superpositioning, and safety was assessed.ResultsNinety‐three healthy subjects were randomised; 86 completed the study. When administered with ketoconazole, geometric mean ratios (90% confidence interval) for quizartinib maximum observed plasma concentration (Cmax) and area under the plasma concentration–time curve (AUC) from time 0 extrapolated to infinity were 117% (105%, 130%) and 194% (169%, 223%), respectively, vs quizartinib alone. Steady‐state PK simulation demonstrated ~2‐fold increase of both steady–state Cmax and AUC from time 0 to the end of the dosing interval when quizartinib was administered with ketoconazole due to accumulation of quizartinib at steady state. When administered with fluconazole, geometric mean ratios (90% confidence interval) for quizartinib Cmax and AUC from time 0 extrapolated to infinity were 111% (100%, 124%) and 120% (104%, 138%), respectively, vs quizartinib alone. Overall, 5.4% of subjects experienced quizartinib‐related adverse events; no serious adverse events or deaths occurred.ConclusionsThese results suggest reducing the dose of quizartinib when coadministered with a strong CYP3A inhibitor, but not with a moderate or weak CYP3A inhibitor. This dose reduction was implemented in phase 3 evaluation of quizartinib.

Abstract 3888: Intracranial evaluation of the in vivo pharmacokinetics, brain distribution, and efficacy of rucaparib in BRCA-mutant, triple-negative breast cancer

Abstract Background: The poly(ADP-ribose) polymerase inhibitor rucaparib is approved for use in recurrent ovarian cancer; however, there are limited data on the activity of rucaparib in patients with central nervous system (CNS) involvement. The goals of these studies were to evaluate the pharmacokinetics (PK) and pharmacodynamics (PD) of rucaparib and to correlate these results with the efficacy observed in a BRCA1-mutant xenograft model of triple-negative breast cancer (TNBC). In addition, a case report where rucaparib demonstrated clinical activity in the CNS of a patient with BRCA2-mutant breast cancer is presented. Methods and Results: In a PK study in CD-1 mice, rucaparib demonstrated limited brain penetration after a single oral dose of 150 mg/kg, with a mean free brain-to-plasma AUC ratio (Kpuu, brain) of 0.09. The free brain Cmax of rucaparib was 8.59 ng/mL, which was comparable to its free cerebrospinal fluid Cmax (6.69 ng/mL) but significantly lower than the total Cmax measured in the brain (118 ng/mL). The antitumor efficacy of rucaparib was evaluated in orthotopic and intracranial tumor models using the BRCA1-mutant MDA-MB-436 TNBC cell line. In the orthotopic setting, rucaparib ≥50 mg/kg BID resulted in &amp;gt;100% tumor growth inhibition (TGI) after 28 days of dosing. Higher levels of rucaparib were observed in the tumor relative to plasma at all doses evaluated. A PK-PD analysis showed an inverse correlation between poly(ADP-ribose) and rucaparib levels in the plasma and tumor, with decreased poly(ADP-ribose) levels correlating with greater TGI. To evaluate intracranial efficacy, a luciferase labelled MDA-MB-436 cell line was employed and tumor burden was evaluated by weekly bioluminescence measurements. Rucaparib 150 mg/kg BID demonstrated efficient suppression of tumor growth after 43 days of dosing, with &amp;gt;100% TGI. In support of these preclinical findings, a patient with germline BRCA2-mutant metastatic breast cancer who had progressive CNS disease following whole brain radiation therapy was treated with rucaparib 600 mg PO BID for 9 months under a compassionate use program. A reduction of multiple metastatic brain lesions was observed based on MRI scans taken before and after rucaparib treatment. The patient also experienced complete resolution of neurological symptoms. Conclusions: In vivo PK studies confirmed the limited brain penetration of rucaparib in a murine model with an intact blood-brain barrier. Nevertheless, antitumor efficacy was observed in a BRCA1-mutant intracranial TNBC mouse model, and clinical activity has been observed in a patient with germline BRCA2-mutant breast cancer and CNS involvement who was treated with rucaparib. Further studies are warranted to elucidate the activity of rucaparib in the brain. Citation Format: Minh Nguyen, Liliane Robillard, Thomas C. Harding, Jim J. Xiao, Andrew D. Simmons, Hartmut Kristeleit, Michelle (Mingxiang) Liao. Intracranial evaluation of the in vivo pharmacokinetics, brain distribution, and efficacy of rucaparib in BRCA-mutant, triple-negative breast cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 3888.

Abstract 2198: PBI-200: A novel, brain penetrant, next generation pan-TRK kinase inhibitor

Abstract Fusions of NTRK 1, 2 and3 genes encoding the TRK family of receptor tyrosine kinases (TrkA, B and C, respectively) have been reported in 1-3% of all human cancers including lung and breast cancers. NTRK gene fusions are also reported in lung and breast tumors metastatic to the brain as well as in primary brain tumors including glioblastoma (3%), astrocytoma (3%) and pediatric glioma (40%). These gene fusions result in constitutive TRK kinase activity and act as oncogenic drivers of disease. First generation TRK kinase inhibitors have demonstrated clinical proof of concept in patients with tumors bearing NTRK gene fusions. PBI-200 is a novel, selective pan-TRK kinase inhibitor. In biochemical assays it inhibits TrkA, B and C with IC50 values of 0.45, 2.2 and 1.9 nM, respectively. This molecule is highly selective against a panel of 122 other protein kinases tested with the exception of Ros1 (IC50= 31 nM). Importantly, PBI-200 retains potency against resistance mutations reported in patients receiving first generation TRK kinase inhibitors. Biochemical IC50 values are 3.4 nM for the TrkA G595R gatekeeper mutation and 10 nM for the TrkA G667C mutant. PBI-200 potently inhibits proliferation of human tumor cell lines expressing TRK fusions including the KM-12 colorectal cancer cell line (TPM3-NTRK1 fusion; EC50 value = 22 nM) and the MO-91 acute myeloid leukemia cell line (ETV6-NTRK3 fusion; EC50 value = 3.5 nM). It also potently inhibits proliferation of rat BaF3 cells expressing oncogenic NTRK fusions and their resistant variants. In a subcutaneous xenograft model of KM-12 colorectal cancer, PBI-200 induces tumor stasis when dosed intraperitoneally at 15 or 30 mg/kg twice daily (93 and 100% tumor growth inhibition, respectively). The activity of PBI-200 was comparable or superior to that seen with the first generation TRK kinase inhibitors used as comparators in this model. PBI-200 has oral bioavailability in both rat and mouse. Importantly, PBI-200 demonstrates excellent brain penetration in rodent species, with brain/plasma AUC ratios of 3.9 in the mouse and 3.2 in the rat. This is in contrast to the poor brain penetration observed with the first generation TRK kinase inhibitors, larotrectinib and entrectinib.PBI-200 is efficacious in an intracranial KM-12 xenograft model when dosed intraperitoneally or orally, significantly slowing tumor growth and extending survival. Based on the activity of PBI-200 against clinically-relevant resistance mutations and its excellent brain penetration, this molecule has potential to be a next-generation TRK kinase inhibitor especially for primary brain tumors or brain metastatic lesions that harbor a NTRK gene fusion. PBI-200 is currently undergoing further characterization in IND enabling studies. Citation Format: Anthony Regina, Aram Elagoz, Vincent Albert, Jonathan Boudreault, Hong Wang, Marc Ouellet, Nicolas Brunei-Latour, Edith Bellavance, Peter White, Stephane Ciblat, W. Robert Bishop, Kollol Pal. PBI-200: A novel, brain penetrant, next generation pan-TRK kinase inhibitor [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 2198.

Effect of N-Acetyltransferase 2 Genotype on the Pharmacokinetics of Hydralazine During Pregnancy.

Hydralazine, an antihypertensive agent used during pregnancy, undergoes N-acetylation primarily via N-acetyltransferase 2 (NAT2) to form 3-methyl-1,2,4-triazolo[3,4-a]phthalazine (MTP). To characterize the steady-state pharmacokinetics (PK) of hydralazine during pregnancy and evaluate the effects of NAT2 genotype on hydralazine and MTP PK during pregnancy, 12 pregnant subjects received oral hydralazine (5-25mg every 6 hours) in mid- (n=5) and/or late pregnancy (n=8). Serial blood samples were collected over 1 dosing interval, and steady-state noncompartmental PK parameters were estimated. Subjects were classified as either (rapid acetylators, n=6) or slow acetylators (SAs, n=6) based on NAT2 genotype. During pregnancy, when compared with the SA group, the RA group had faster weight-adjusted hydralazine apparent oral clearance (70.0±13.6 vs 20.1±6.9 L/h, P<.05), lower dose-normalized area under the concentration-time curve (AUC; 1.5±0.8 vs 5.9±3.7 ng·h/mL, P<.05), lower dose-normalized peak concentrations (0.77±0.51 vs 4.04±3.18 ng/mL, P<.05), and larger weight-adjusted apparent oral volume of distribution (302±112 vs 116±45 L/kg, P<.05). Furthermore, the MTP/hydralazine AUC ratio was ∼10-fold higher in the RA group (78±30 vs 8±3, P<.05) than in the SA group. No gestational age or dose-dependent effects were observed, possibly because of the small sample size. This study describes for the first time, the PK of oral hydralazine and its metabolite, MTP, during pregnancy, and confirmed that the PK of oral hydralazine is NAT2 genotype dependent during pregnancy.

Endogenous pain modulation assessed with offset analgesia is not impaired in chronic temporomandibular disorder pain patients.

Abnormal endogenous pain modulation (EPM) was suggested as a pathophysiological characteristic of chronic pain. EPM has been investigated using psychophysical tests for pain facilitation and inhibition such as temporal summation of pain and conditioned pain modulation, respectively. Another psychophysical test for pain inhibition is offset analgesia (OA), where small variations in noxious stimulus intensity over time elicit a disproportionately large analgesic response. OA has been investigated in patients with mixed pain conditions, but not in chronic temporomandibular disorder (TMD) patients. To compare OA responses in chronic TMD female cases to age-matched, pain-free female controls. Offset analgesia was assessed by applying noxious heat over the non-dominant forearm of chronic TMD cases (n=22) and controls (n=17), using a previously reported paradigm with individualised test temperatures (TT): T1(5seconds)=TT, T2(5seconds)=TT+1°C and T3(20seconds)=TT. Clinical and psychosocial characteristics were measured. Main outcomes for OA were delta computerised visual analogue scale (COVAS), per cent change (T2-T3/T2-T1) and area under the curve (AUC) ratio of pain ratings controlling for TT. No statistically significant between-group differences were found for delta COVAS (TMD cases mean±SD=53.5±22.0; controls=51.6±22.9, P=0.876) and per cent change (T2-T3/T2-T1) (cases mean=327.2±375.1; controls=226.9±553.4, P=0.515), with both groups presenting a robust OA response. TMD cases perceived more pain during OA trials than controls, as measured by AUC ratio (mean difference [95% CI]=-15.6 [-26.9, -3.5], P=0.017). Chronic TMD cases presented with similar OA response over the forearm as controls; however, they experienced greater pain during testing. Future studies including this patient population should investigate OA responses over painful body sites, for example, jaw/face.

In Vivo Metabolism of Ibuprofen in Growing Conventional Pigs: A Pharmacokinetic Approach.

The juvenile conventional pig has been suggested as a preclinical animal model to evaluate pharmacokinetic (PK), pharmacodynamic (PD), and safety parameters in children. However, a lot of developmental changes in pig physiology still need to be unraveled. While the in vitro ontogeny of pig biotransformation enzymes is getting more attention in literature, the in vivo developmental changes have not yet been investigated. Therefore, the aim of the current study was to evaluate the biotransformation of ibuprofen (IBU) in conventional pigs aged 1 week, 4 weeks, 8 weeks, and 6–7 months after a single intravenous and oral administration of 5 mg/kg body weight (BW) of IBU, using a PK approach in a crossover design for each age group. An ultra-performance liquid chromatography–tandem mass spectrometry (UPLC-MS/MS) method was developed and validated to determine 2-hydroxyibuprofen (2OH-IBU), carboxyibuprofen (COOH-IBU), and ibuprofen glucuronide (IBU-GlcA) in pig plasma. All three metabolites could be quantified in plasma and the following PK parameters were determined: C max, T max, AUC0→6h, area under plasma concentration–time curve (AUC) ratio between parent drug and metabolite, and the absolute oral bioavailability of the parent drug IBU. The plasma concentrations of the metabolites were always lower than those of IBU. The bioavailability was high, indicating limited pre-systemic biotransformation. The AUC ratio of 2OH-IBU and COOH-IBU/IBU showed a significant increase at 4 weeks of age compared to the 1-week-old and 6- to 7-month-old pigs. Interestingly, the IBU-GlcA/IBU AUC ratio did not change with age. The present study demonstrated that the main metabolites of IBU in human are also present in growing pigs. The oxidative phase I metabolism of IBU in growing conventional pigs did change with age. In contrast, age did not seem to affect the glucuronidation capacity of IBU in conventional pigs, although more studies with other substrate drugs are needed to confirm this.

Drug-drug interaction (DDI) assessments of ruxolitinib, a dual substrate of CYP3A4 and CYP2C9, using a verified physiologically based pharmacokinetic (PBPK) model to support regulatory submissions

Ruxolitinib is mainly metabolized by cytochrome P450 (CYP) enzymes CYP3A4 and CYP2C9 followed by minor contributions of other hepatic CYP enzymes in vitro. A physiologically based pharmacokinetic (PBPK) model was established to evaluate the changes in the ruxolitinib systemic exposures with co-administration of CYP3A4 and CYP2C9 perpetrators. The fractions metabolized in the liver via oxidation by CYP enzymes (fm,CYP3A4 = 0.75, fm,CYP2C9 = 0.19, and fm,CYPothers = 0.06) for an initial ruxolitinib model based on in vitro data were optimized (0.43, 0.56, and 0.01, respectively) using the observed exposure changes of ruxolitinib (10 mg) with co-administered ketoconazole (200 mg). The reduced amount of fm,CYP3A4 was distributed to fm,CYP2C9. For the initial ruxolitinib model with co-administration of ketoconazole, the area under the curve (AUC) increase of 2.60-fold was over-estimated compared with the respective observation (1.91-fold). With the optimized fm values, the predicted AUC ratio was 1.82. The estimated AUC ratios of ruxolitinib by co-administration of the moderate CYP3A4 inhibitor erythromycin (500 mg) and the strong CYP3A4 inducer rifampicin (600 mg) were within a 20% error compared with the clinically observed values. The PBPK modeling results may provide information on the labeling, i.e. supporting a dose reduction by half for co-administration of strong CYP3A4 inhibitors. Furthermore, an AUC increase of ruxolitinib in the absence or presence of the dual CYP3A4 and CYP2C9 inhibitor fluconazole (100-400 mg) was prospectively estimated to be 1.94- to 4.31-fold. Fluconazole simulation results were used as a basis for ruxolitinib dose adjustment when co-administering perpetrator drugs. A ruxolitinib PBPK model with optimized fm,CYP3A4 and fm,CYP2C9 was established to evaluate victim DDI risks. The previous minimal PBPK model was supported by the FDA for the dose reduction strategy, halving the dose with the concomitant use of strong CYP3A4 inhibitors and dual inhibitors on CYP2C9 and CYP3A4, such as fluconazole at ≤200 mg. Fluconazole simulation results were used as supportive evidence in discussions with the FDA and EMA about ruxolitinib dose adjustment when co-administering perpetrator drugs. Thus, this study demonstrated that PBPK modeling can support characterizing DDI liabilities to inform the drug label and might help reduce the number of clinical DDI studies by simulations of untested scenarios, when a robust PBPK model is established.

Physiologically Based Pharmacokinetic Models for Prediction of Complex CYP2C8 and OATP1B1 (SLCO1B1) Drug-Drug-Gene Interactions: A Modeling Network of Gemfibrozil, Repaglinide, Pioglitazone, Rifampicin, Clarithromycin and Itraconazole.

BackgroundDrug–drug interactions (DDIs) and drug–gene interactions (DGIs) pose a serious health risk that can be avoided by dose adaptation. These interactions are investigated in strictly controlled setups, quantifying the effect of one perpetrator drug or polymorphism at a time, but in real life patients frequently take more than two medications and are very heterogenous regarding their genetic background.ObjectivesThe first objective of this study was to provide whole-body physiologically based pharmacokinetic (PBPK) models of important cytochrome P450 (CYP) 2C8 perpetrator and victim drugs, built and evaluated for DDI and DGI studies. The second objective was to apply these models to describe complex interactions with more than two interacting partners.MethodsPBPK models of the CYP2C8 and organic-anion-transporting polypeptide (OATP) 1B1 perpetrator drug gemfibrozil (parent–metabolite model) and the CYP2C8 victim drugs repaglinide (also an OATP1B1 substrate) and pioglitazone were developed using a total of 103 clinical studies. For evaluation, these models were applied to predict 34 different DDI studies, establishing a CYP2C8 and OATP1B1 PBPK DDI modeling network.ResultsThe newly developed models show a good performance, accurately describing plasma concentration–time profiles, area under the plasma concentration–time curve (AUC) and maximum plasma concentration (Cmax) values, DDI studies as well as DGI studies. All 34 of the modeled DDI AUC ratios (AUC during DDI/AUC control) and DDI Cmax ratios (Cmax during DDI/Cmax control) are within twofold of the observed values.ConclusionsWhole-body PBPK models of gemfibrozil, repaglinide, and pioglitazone have been built and qualified for DDI and DGI prediction. PBPK modeling is applicable to investigate complex interactions between multiple drugs and genetic polymorphisms.Electronic supplementary materialThe online version of this article (10.1007/s40262-019-00777-x) contains supplementary material, which is available to authorized users.

Determination of the immunogenetic risk of developing cancer.

e13132 Background: Association between certain HLA types and cancer is well known. We hypothesized that the number of epitopes of tumor antigens presented by autologous HLAs characterizes a patient’s capacity to kill tumor cells. These CD8+ T cell epitopes are presented by 6 out of &gt;13,000 known HLA class I alleles and induce extremely variable tumor-specific T-cell responses. Methods: We predicted HLA-binding epitopes from 48 frequently expressed tumor antigens in subjects characterized with 6 HLA class I alleles. To develop the “HLA Score” cancer risk predictor we used epitopes binding to multiple HLAs of a subject. The predictor was trained on 5,789 non-American subjects. To identify populations with high and low immunogenetic risk to develop cancer we compared the HLA Score of American cancer subjects to a general population of American subjects (1,400 subjects). The performance of the predictor was characterized with AUC and Risk Ratio. Due to Bonferroni correction, AUC values with p-value p&lt;0.007 was accepted as significant. Results: “HLA Score” predictor significantly separated cancer patients from the general population in six out of the seven investigated cancer types. The Risk Ratios between the most protected and most at risk subpopulations ranged between 2.38 and 5.67 (Table). Cancer risk prediction with HLA Score. Conclusions: Subjects with certain HLA class I alleles have high risk of developing cancer. The novel “HLA Score” predictor we introduced here could complement current testing used for determination of the genetic risk of cancer.[Table: see text]

Metformin metabolic and vascular effects in overweight/moderately obese hyperinsulinemic PCOS patients treated with contraceptive vaginal ring: a pilot study

The aim of this pilot study was to assess how metformin, associated with a contraceptive vaginal ring, may influence lipid and carbohydrate metabolism, fat distribution, and surrogate markers of arterial function. Among 62 patients, 25 were treated with vaginal ring plus metformin and 37 women with only vaginal ring. The effects were assessed after 6 months. The patients were submitted to evaluation of lipid and carbohydrate metabolism; extended view ultrasonographic evaluation of fat distribution; Doppler analysis of ophthalmic artery; brachial artery flow-mediated vasodilatation; oral glucose tolerance test. After 6 months, the body mass index and waist/hip ratio resulted significantly better in patients who associated metformin to vaginal ring. The fasting glucose, insulin, and glucose/insulin ratio, HOMA-IR, glucose, and insulin AUC 120 were significantly improved in metformin group. The ultrasonographic fat analysis resulted significantly better after metformin. The ophthalmic artery PI significantly improved in metformin group. The brachial artery vasodilation was better in metformin treated patients. In conclusion, metformin, associated with vaginal ring, improves the insulin and carbohydrate metabolism, reduces the body weight and android fat distribution. This, associated with the significant improvements of surrogate markers of arterial function, may be responsible of possible cardiovascular and cerebrovascular protective effects.

Ketoprofen and tramadol pharmacokinetics in patients with chronic pancreatitis.

Chronic pancreatitis (CP) is a disease leading to irreversible pancreas dysfunction. One of the main symptoms is pain. Many patients require pharmacological therapy which should be started with paracetamol or, in selected groups of patients, ketoprofen. If the effect of ketoprofen is irrelevant, patients receive tramadol. The aim of this study is the evaluation of ketoprofen and tramadol pharmacokinetics (PK) in CP patients. 36 patients were divided into two groups: I - receiving ketoprofen (n=18; mean [SD] age, 48.61 [13.32] years; weight, 73.28 [20.48] kg), II - receiving tramadol (n=18; mean [SD] age, 46.78 [10.28] years; weight, 74.22 [14.04] kg, and BMI (Body Mass Index), 24.61 [4.51] kg/m2). The plasma concentrations of ketoprofen and tramadol with its active metabolite M1 (0-desmethyltramadol) were measured with the validated high-performance liquid chromatography method. The main PK parameters for ketoprofen were as follows: Cmax (maximum plasma concentration), 3.41 [2.32] mg/L; AUC0-inf (area under the plasma concentration-time curve from time zero to infinity), 10.45 [5.57] mg⋅h/L; tmax (time to first occurrence of Cmax), 1.94 [1.25] h; Cl (clearance), 0.199 [0.165] L/kg·h, and Vd/kg (volume of distribution per kilogram of body weight), 0.71 [0.58] L/kg. The main PK parameters for TRM and M1 were as follows: Cmax, 226.4 [80.5] and 55.6 [23] ng/mL; AUC0-inf, 1903.3 [874.8] and 790.4 [512.4] ng⋅h/mL; tmax, 1.78 [0.73] and 2.67 [1.19] h, respectively. Chronic pancreatitis led to a decrease in the total amount of absorbed ketoprofen. Consequently, the analgesic effect of the drug may be weaker. Cmax of tramadol for most CP patients was within the therapeutic range associated with its analgesic activity. M1/TRM ratios for Cmax and AUC were unchanged.

Differences in immunogenicity associated with non-product related variability: insights from two pharmacokinetic studies using GP2017, an adalimumab biosimilar

ABSTRACT Introduction: Antidrug antibody (ADA) development is known to occur with adalimumab treatment and impacts adalimumab exposure. Here, we compare the impact of immunogenicity on pharmacokinetics (PK) across two randomized PK studies of GP2017, an approved biosimilar adalimumab, in healthy subjects. Methods: Healthy male subjects (N= 107 in study GP17-104; N= 90 in study GP17-103) received a single 40 mg subcutaneous injection of the same GP2017 drug product batch. Cross-study PK comparison was performed for log-transformed Cmax, AUC0–360h, AUC0–last, and AUC0–inf, using an ANCOVA model. Results: The proportion of ADA-positive subjects was higher in GP17-103 (in total 71.1%) vs. GP17-104 (57.9%). Comparison of GP2017 PK between studies showed that the exposure was lower in GP17-103 vs GP17-104, with 90% confidence intervals (CIs) for geometric mean ratios of AUC0–last and AUC0–inf being outside the range of 0.80–1.25. A subgroup analysis showed that in ADA-negative subjects 90% CIs for all PK parameters were within range, with geometric mean ratios close to 1.00. Conclusion: The differences in GP2017 PK between the two groups are not considered to be product-related, but may be due to currently unknown factors related to differences between the two study populations.

Intrapulmonary pharmacokinetics of cefiderocol, a novel siderophore cephalosporin, in healthy adult subjects

BackgroundCefiderocol, a novel siderophore cephalosporin, has shown potent activity against Gram-negative bacteria, including MDR pathogens. Cefiderocol is under clinical investigation for the treatment of serious Gram-negative infections including nosocomial pneumonia.ObjectivesThis study assessed intrapulmonary penetration after a single intravenous dose of cefiderocol (2000 mg infused over 60 min) in healthy adult males.Materials and methodsEach subject underwent one bronchoscopy with bronchoalveolar lavage (BAL) to collect BAL fluid (BALF). Fifteen subjects were assigned to one of three collection timepoints (1, 2 or 4 h from start of infusion). Five additional subjects were assigned to a collection timepoint at 6 h, which was added based on concentration data between 1 and 4 h predicting measurable BALF cefiderocol concentrations at 6 h.ResultsCefiderocol concentrations in plasma, epithelial lining fluid (ELF) and alveolar macrophages (AMs) were calculated for each subject. The ELF concentration of cefiderocol was 13.8, 6.69, 2.78 and 1.38 mg/L at 1, 2, 4 and 6 h after single intravenous dosing, respectively. Over 6 h, geometric mean concentration ratios ranged from 0.0927 to 0.116 for ELF to total plasma and from 0.00496 to 0.104 for AMs to total plasma. AUC ratios of ELF and AMs to plasma were 0.101 and 0.0177 based on total drug in plasma, respectively, and 0.239 and 0.0419 based on free drug in plasma, respectively. There were no major drug-related adverse events.ConclusionsResults of this study indicate that cefiderocol penetrates into ELF, and ELF and plasma concentrations appear to be parallel.