Effect of Food, Crushing of Tablets, and Antacid Coadministration on Maribavir Pharmacokinetics in Healthy Adult Participants: Results From 2 Phase 1, Open-Label, Randomized, Crossover Studies.

The effect of food composition, tablet crushing, and antacid coadministration on maribavir pharmacokinetics was assessed in 2 Phase 1 studies in healthy adults. In the first, a single maribavir 400-mg dose was administered under fasting conditions, with a low-fat/low-calorie or a high-fat/high-calorie meal. In the second, a single maribavir 100-mg dose was administered under fasting conditions, as a crushed tablet, or as a whole tablet alone or with an antacid. The 90% confidence intervals of the geometric mean ratios were within 80%-125% for area under the concentration-time curve (AUC), but not for maximum plasma concentration (Cmax) for low-fat/low-calorie and high-fat/high-calorie meals versus fasting or for whole tablet with antacid versus whole tablet alone. The 90% confidence intervals of the geometric mean ratios for AUC and Cmax were within 80%-125% for crushed versus whole tablet. Maribavir median time to Cmax value in plasma under fed conditions was delayed versus fasting conditions, but there was no statistical difference for crushed versus whole tablet or with versus without antacid. As the antiviral efficacy of maribavir is driven by AUC but not Cmax, findings suggest that maribavir can be administered with food or antacids or as a crushed tablet.

Maribavir: Mechanism of action, clinical, and translational science.

Maribavir is an oral benzimidazole riboside for treatment of post-transplant cytomegalovirus (CMV) infection/disease that is refractory to prior antiviral treatment (with or without resistance). Through competitive inhibition of adenosine triphosphate, maribavir prevents the phosphorylation actions of UL97 to inhibit CMV DNA replication, encapsidation, and nuclear egress. Maribavir is active against CMV strains with viral DNA polymerase mutations that confer resistance to other CMV antivirals. After oral administration, maribavir is rapidly and highly absorbed (fraction absorbed >90%). The approved dose of 400 mg twice daily (b.i.d.) achieves a steady-state area under the curve per dosing interval of 128 h*µg/mL and trough concentration of 4.90 µg/mL (13.0 µM). Maribavir is highly bound to human plasma proteins (98%) with a small apparent volume of distribution of 27.3 L. Maribavir is primarily cleared by hepatic CYP3A4 metabolism; its major metabolite, VP44669 (pharmacologically inactive), is excreted in the urine and feces. There is no clinically relevant impact on maribavir pharmacokinetics by age, sex, race/ethnicity, body weight, transplant type, or hepatic/renal impairment status. In phase II dose-ranging studies, maribavir showed similar rates of CMV viral clearance across 400, 800, or 1200 mg b.i.d. groups, ranging from 62.5-70% in study 202 (NCT01611974) and 74-83% in study 203 (EudraCT 2010-024247-32). In the phase III SOLSTICE trial (NCT02931539), maribavir 400 mg b.i.d. demonstrated superior CMV viremia clearance at week 8 versus investigator-assigned treatments, with lower treatment discontinuation rates. Dysgeusia, nausea, vomiting, and diarrhea were commonly experienced adverse events among patients treated with maribavir in clinical trials.

Physiologically Based Pharmacokinetic Modeling for Maribavir to Inform Dosing in Drug-Drug Interaction Scenarios with CYP3A4 Inducers and Inhibitors.

Maribavir, an orally available antiviral agent, has been approved in multiple countries for the treatment of patients with refractory post-transplant cytomegalovirus (CMV) infection and/or disease. Maribavir is primarily metabolized by CYP3A4; coadministration with CYP3A4 inducers and inhibitors may significantly alter maribavir exposure, thereby affecting its efficacy and safety. The effect of CYP3A4 inducers and inhibitors on maribavir exposure was evaluated based on a drug-drug interaction (DDI) study and physiologically-based pharmacokinetic (PBPK) modeling. The effect of rifampin (a strong inducer of CYP3A4 and moderate inducer of CYP1A2), administered at a 600 mg dose once daily, on maribavir pharmacokinetics was assessed in a clinical phase 1 DDI study in healthy participants. A full PBPK model for maribavir was developed and verified using in vitro and clinical pharmacokinetic data from phase 1 studies. The verified PBPK model was then used to simulate maribavir DDI interactions with various CYP3A4 inducers and inhibitors. The DDI study results showed that coadministration with rifampin decreased the maribavir maximum plasma concentration (Cmax ), area under the plasma concentration-time curve (AUC), and trough concentration (Ctrough ) by 39%, 60%, and 82%, respectively. Based on the results from the clinical DDI study, the coadministration of maribavir with rifampin is not recommended. The PBPK model did not predict a clinically significant effect of CYP3A4 inhibitors on maribavir exposure; however, it predicted that strong or moderate CYP3A4 inducers, including carbamazepine, efavirenz, phenobarbital, and phenytoin, may reduce maribavir exposure to a clinically significant extent, and may prompt the consideration of a maribavir dosing increase, in accordance with local approved labels and/or regulations.

PK/PD and Bioanalytical Considerations of AAV-Based Gene Therapies: an IQ Consortium Industry Position Paper.

Interest and efforts to use recombinant adeno-associated viruses (AAV) as gene therapy delivery tools to treat disease have grown exponentially. However, gaps in understanding of the pharmacokinetics/pharmacodynamics (PK/PD) and disposition of this modality exist. This position paper comes from the Novel Modalities Working Group (WG), part of the International Consortium for Innovation and Quality in Pharmaceutical Development (IQ). The pan-industry WG effort focuses on the nonclinical PK and clinical pharmacology aspects of AAV gene therapy and related bioanalytical considerations.Traditional PK concepts are generally not applicable to AAV-based therapies due to the inherent complexity of a transgene-carrying viral vector, and the multiple steps and analytes involved in cell transduction and transgene-derived protein expression. Therefore, we explain PK concepts of biodistribution of AAV-based therapies and place key terminologies related to drug exposure and PD in the proper context. Factors affecting biodistribution are presented in detail, and guidelines are provided to design nonclinical studies to enable a stage-gated progression to Phase 1 testing. The nonclinical and clinical utility of transgene DNA, mRNA, and protein analytes are discussed with bioanalytical strategies to measure these analytes. The pros and cons of qPCR vs. ddPCR technologies for DNA/RNA measurement and qualitative vs. quantitative methods for transgene-derived protein are also presented. Last, best practices and recommendations for use of clinical and nonclinical data to project human dose and response are discussed. Together, the manuscript provides a holistic framework to discuss evolving concepts of PK/PD modeling, bioanalytical technologies, and clinical dose selection in gene therapy.

Model-Informed Approaches and Innovative Clinical Trial Design for Adeno-Associated Viral Vector-Based Gene Therapy Product Development: A White Paper.

The promise of viral vector-based gene therapy (GT) as a transformative paradigm for treating severely debilitating and life-threatening diseases is slowly coming to fruition with the recent approval of several drug products. However, they have a unique mechanism of action often necessitating a tortuous clinical development plan. Expertise in such complex therapeutic modality is still fairly limited in this emerging class of adeno-associated virus (AAV) vector-based gene therapies. Because of the irreversible mode of action and incomplete understanding of genotype-phenotype relationship and disease progression in rare diseases careful considerations should be given to GT product's benefit-risk profile. In particular, special attention needs to be paid to safe dose selection, reliable dose exposure response (including clinically relevant endpoints), or creative approaches in study design targeting small patient populations during clinical development. We believe that quantitative tools encompassed within model-informed drug development (MIDD) framework fits quite well in the development of such novel therapies, as they enable us to benefit from the totality of data approach in order to support dose selection as well as optimize clinical trial designs, end point selection, and patient enrichment. In this thought leadership paper, we provide our collective experiences, identify challenges, and suggest areas of improvement in applications of modeling and innovative trial design in development of AAV-based GT products and reflect on the challenges and opportunities for incorporating MIDD tools and more in rational development of these products.

Population pharmacokinetic modeling and simulation of maribavir to support dose selection and regulatory approval in adolescents with posttransplant refractory cytomegalovirus.

Maribavir was approved by the US Food and Drug Administration for the treatment of patients aged ≥12 years and weighing ≥35 kg with posttransplant cytomegalovirus infection/disease refractory (with/without resistance) to valganciclovir, ganciclovir, cidofovir, or foscarnet, with an oral dose of 400 mg twice daily. With no pediatric clinical data available and difficulty in trial recruitment, population pharmacokinetic modeling and simulations were conducted to predict the pharmacokinetics and inform maribavir dosing in adolescents.

Clinical Pharmacology Considerations on Recombinant Adeno-Associated Virus-Based Gene Therapy.

Recombinant adeno-associated virus (AAV) is currently the most widely used platform for in vivo gene therapy. Clinical pharmacology is a central field for AAV gene therapy, represented by the pillars of pharmacokinetics, pharmacodynamics/efficacy, and safety. In this review, we provide a comprehensive summary of clinical pharmacology considerations for recombinant AAV. The main topics covered are biodistribution and shedding, dose-exposure-response relationship, safety, immune and stress response, and clinical dose selection strategies. We highlight how the cumulative knowledge of AAV gene therapy could help with guiding clinical trial design and assessing and mitigating risks, as well as planning and executing pharmacokinetic/pharmacodynamic /safety data analyses. In addition, we discuss the major gaps and areas of growth in clinical pharmacology understanding of recombinant AAV. These include the mechanisms of the durability of treatment response and variability in biodistribution, transduction, and immunogenicity, as well as a potential influence on AAV's safety and efficacy profiles by drug product characteristics and patient intrinsic/extrinsic factors.

The Perspective of DMPK on Recombinant Adeno-Associated Virus-Based Gene Therapy: Past Learning, Current Support, and Future Contribution.

Given the recent success of gene therapy modalities and the growing number of cell and gene-based therapies in clinical development across many different therapeutic areas, it is evident that this evolving field holds great promise for the unmet medical needs of patients. The recent approvals of Luxturna® and Zolgensma® prove that recombinant adeno-associated virus (rAAV)-based gene therapy is a transformative modality that enables curative treatment for genetic disorders. Over the last decade, Takeda has accumulated significant experience with rAAV-based gene therapies, especially in the early stage of development. In this review, based on the learnings from Takeda and publicly available information, we aim to provide a guiding perspective on Drug Metabolism and Pharmacokinetics (DMPK) substantial role in advancing therapeutic gene therapy modalities from nonclinical research to clinical development, in particular the characterization of gene therapy product biodistribution, elimination (shedding), immunogenicity assessment, multiple platform bioanalytical assays, and first-in-human (FIH) dose projection strategies. Graphical abstract.

Prediction of Ovarian Cancer-Related Metabolites Based on Graph Neural Network.

Ovarian cancer is one of the three most malignant tumors of the female reproductive system. At present, researchers do not know its pathogenesis, which makes the treatment effect unsatisfactory. Metabolomics is closely related to drug efficacy, safety evaluation, mechanism of action, and rational drug use. Therefore, identifying ovarian cancer-related metabolites could greatly help researchers understand the pathogenesis and develop treatment plans. However, the measurement of metabolites is inaccurate and greatly affects the environment, and biological experiment is time-consuming and costly. Therefore, researchers tend to use computational methods to identify disease-related metabolites in large scale. Since the hypothesis that similar diseases are related to similar metabolites is widely accepted, in this paper, we built both disease similarity network and metabolite similarity network and used graph convolutional network (GCN) to encode these networks. Then, support vector machine (SVM) was used to identify whether a metabolite is related to ovarian cancer. The experiment results show that the AUC and AUPR of our method are 0.92 and 0.81, respectively. Finally, we proposed an effective method to prioritize ovarian cancer-related metabolites in large scale.

Elucidation of Metabolic and Disposition Pathways for Maribavir in Nonhuman Primates through Mass Balance and Semi-Physiologically Based Modeling Approaches.

Maribavir is in phase 3 clinical development for treatment of cytomegalovirus infection/disease in transplant recipients. Previous research conducted using only intact cynomolgus monkeys indicated biliary secretion as the primary elimination pathway for maribavir and that maribavir undergoes enterohepatic recirculation (EHR). To clarify the exact mechanisms of maribavir's EHR behavior, we studied its clearance pathways using intravenously administered 14C-labeled maribavir in intact and bile duct-cannulated (BDC) monkeys and constructed a semi-physiologically based pharmacokinetic (PBPK) model. Total radioactivity metabolite profiles in plasma and excreta were quantitatively determined along with plasma maribavir concentrations. Intact animals showed significantly lower clearance and longer half-lives in both total radioactivity and parent concentration in plasma than BDC monkeys. The primary in vitro and in vivo metabolic pathway for maribavir in monkey is direct glucuronidation; N-dealkylation and renal clearance are minor pathways. In BDC monkeys, 73% of dose was recovered as maribavir glucuronides in bile, and 3% of dose was recovered as parent in bile and feces; in intact animals' feces, 58% of dose was recovered as parent, and no glucuronides were detected. Therefore, EHR of maribavir occurs through biliary secretion of maribavir glucuronides, and this is followed by hydrolysis of glucuronides in the gut lumen and subsequent reabsorption of parent. A semi-PBPK model constructed from physiologic, in vitro, and in vivo BDC monkey data is capable of projecting maribavir's pharmacokinetic and EHR behavior in intact animals after intravenous or oral dosing and could be applied to modeling other xenobiotics that are subject to similar EHR processes. SIGNIFICANCE STATEMENT: Through both mass balance and semi-physiologically based pharmacokinetic (semi-PBPK) modeling approaches, this study mechanistically and quantitatively elucidates maribavir's enterohepatic recirculation (EHR) behavior in monkeys, which occurs via extensive direct glucuronidation, biliary secretion of these glucuronides, luminal hydrolysis of glucuronides to parent, and subsequent reabsorption of the parent. The study also identifies important drug- and animal-specific parameters that determine the EHR kinetics, and the semi-PBPK model is readily applicable to other drugs that undergo similar metabolic and recirculation mechanisms.

Improved Protease-Targeting and Biopharmaceutical Properties of Novel Prodrugs of Ganciclovir.

The prodrug strategy has been frequently employed as a chemical approach for overcoming the disadvantages of existing parent drugs. In this report, we synthesized four monoester prodrugs of ganciclovir, an anticytomegalovirus drug, and demonstrated their potential advantages in protease-targeted activation and biopharmaceutical profiles over the parent compound. We demonstrated that these four prodrugs of ganciclovir, i.e., N-benzyloxycarbonyl-(L)-alanine-ganciclovir (CbzAlaGCV), N-benzyloxycarbonyl-(α,l)-aminobutyric acid-ganciclovir (CbzAbuGCV), N-acetyl-(l)-phenylalanine-(l)-alanine-ganciclovir (AcPheAlaGCV), and N-acetyl-(l)-phenylalanine-(α,l)-aminobutyric acid-ganciclovir (AcPheAbuGCV), are hydrolytically activated by the protease of human cytomegalovirus (hCMV), a serine protease that possesses intrinsic esterase activities. CbzAlaGCV and AcPheAlaGCV were found to be activated at a higher rate by the hCMV protease than CbzAbuGCV and AcPheAbuGCV. These ganciclovir prodrugs could potentially be targeted to selective activation by the hCMV protease which is only present at the viral infection sites, thereby achieving higher efficacy and lower systemic toxicity. The tissue stability, cellular uptake, and trans-epithelial transport of these ganciclovir prodrugs were also characterized. The N-acetylated dipeptide prodrugs of ganciclovir were found to be generally more stable than Cbz-amino acid prodrugs in various tissue matrices. Among the four prodrug candidates, AcPheAbuGCV was the most stable in human cell homogenates, plasma, and pooled liver microsomes. AcPheAbuGCV also possessed a superior cellular uptake profile and permeability across epithelial cell monolayers. Since the targeting and selective activation of a prodrug is determined by not only its rate of hydrolysis catalyzed by the hCMV protease target but also its biopharmaceutical properties, i.e., oral absorption and systemic availability, AcPheAbuGCV is considered the best overall candidate among the four ganciclovir prodrugs for further research and development for treatment of hCMV infection.

Use of cassette dosing to enhance the throughput of rat brain microdialysis studies.

This study was designed to increase the throughput of rat brain microdialysis studies by administration of compounds as a cassette as opposed to discrete study. Eight compounds (carbamazepine, citalopram, desmethylclozapine, diphenhydramine, gabapentin, metoclopramide, naltrexone, and stavudine) were selected and administered as an intravenous bolus dose at 0.5-3.3 mg/kg each followed by an intravenous infusion at 1 mg/kg per hour for 6 hours in rats in a cassette or discrete dosing. The dialysate, plasma, brain, and cerebrospinal fluid were collected and analyzed using liquid chromatography-tandem mass spectrometry. The microdialysis probe recovery was determined by an in vitro gain method. The recovery between the cassette and discrete dosing was similar, with an average of 1.0 ± 0.10-fold difference. The stavudine interstitial fluid (ISF) concentration, as measured by brain microdialysis, was below the low limit of quantitation and was excluded from the analyses. The ratios of ISF concentration to unbound plasma concentration were within 2-fold for six of the remaining seven compounds, with an average of 0.92 ± 0.51-fold difference between the cassette and discrete methods. The ratios of ISF concentration to unbound brain concentration, as measured by the brain homogenate method, were also similar, with a 1.1 ± 0.7-fold difference. In addition, the ratios of ISF to cerebrospinal fluid concentrations were similar, with a 1.5 ± 0.6-fold difference. The results from this study support the use of a cassette dosing approach to enhance the throughput of rat brain microdialysis studies in drug discovery.

[In vitro growth and function of neonatal cardiomyocytes in various transcatheter closure device patches].

OBJECTIVE: To observe the effects of collagen-coating, epidermal growth factor (EGF), Bromodeoxyuridine (BrdU) on growth and function of neonatal ventricular cardiomyocytes in transcatheter closure device patches in vitro. METHODS: Neonatal ventricular cardiomyocytes were cultured with transcatheter closure device patches (1 cm x 2 cm) coated with or without collagen and treated with 10% FBS (control), EGF (20 ng/ml), BrdU (0.1 mmol/L), respectively. In vitro ventricular cardiomyocytes growth and function as well as IGF-I content were determined. RESULTS: (1) The beginning time of ventricular cardiomyocytes beating on patches was similar in collagen-coated and uncoated patches treated with PBS, EGF or BrdU, respectively (P > 0.05). The cell beating time was significantly earlier in Brdu group than in PBS and EGF groups (all P < 0.05). (2) Time of cultured cell covering on patches was significantly earlier in coated patches than those uncoated patches in PBS, EGF and BrdU treated groups (all P < 0.05). The ventricular cardiomyocytes covering time on patches was significantly earlier in EGF group than that in PBS and BrdU groups (all P < 0.05). (3) Ventricular cardiomyocytes types survived on patches included endothelial cells, fibroblasts and myocytes. The highest content of endothelial cells was evidenced in EGF group and the highest content of fibroblasts was found in Brdu group. Myocytes content was similar between PBS and BrdU groups (P > 0.05) and significantly higher than that in EGF group (all P < 0.05). (4) IGF-I peaked at the seventh culture day in all groups (all P < 0.01). CONCLUSIONS: Ventricular cardiomyocytes covering on patches could be enhanced by collagen coating. EGF could promote endothelial cells growth while Brdu could stimulate fibroblasts growth on patches.