Concentration-Response Model of Immediate Release Oxycodone Drug Liking by Different Routes of Abuse.

OBJECTIVE: To understand the correlation between oxycodone concentration and drug liking response for immediate-release formulations as they relate to different doses and different routes of administration following manipulation involved in opioid misuse and nontherapeutic use. METHODS: Concentration-response and noncompartmental analyses of drug liking and plasma oxycodone data from Category 3 human abuse potential studies (n = 15-29 per study) were conducted, using Phoenix 6.0 software. Time to onset of a set threshold of subjective effects (Tonset) and offset of subjective effects (Toffset) were estimated based on a baseline pharmacodynamic response set at 50 on a bipolar Drug Liking visual analog scale of 0-100 and the threshold for drug liking set at ≥65, based on study qualification criteria. Partial Area Under the Concentration (AUCTonset-Toffset) and Effect (AUETonset-Toffset) profiles were calculated and their correlation with individual partial AUE vs partial AUC was assessed. RESULTS: The oxycodone concentration-response (drug liking) was best described by a sigmoidal-effect Emax model (S-shaped). Using a defined threshold, drug liking was closely associated with the rate of rise in concentration and the onset of action for oxycodone administered via oral or intranasal route. Partial AUCTonset-Toffset and AUETonset-Toffset showed a strong linear correlation. CONCLUSIONS: Results indicate that oxycodone concentration-response and duration of drug liking following manipulation via different routes of administration may be an approach for further exploring drug liking effects of opioids.

Impact of Switching on Pharmacokinetics of Therapeutic Biologics and Interchangeability Assessment-A Simulation Study.

The risk in terms of safety or diminished efficacy of switching between an originator biological product and a proposed interchangeable product is an important consideration for interchangeability evaluation in the regulatory framework. This simulation study evaluated the impact of several switching study design scenarios on the pharmacokinetic (PK) assessment between a virtual originator biological product and a virtual proposed interchangeable product. Our results show that (1) at least 3 switches are needed to optimize the detection of potential PK differences, (2) the initial incidence of antidrug antibodies after treatment with the reference product in the lead-in period is a significant covariate affecting the PK results, and (3) the area under the concentration-time curve is more sensitive than peak concentration in assessing the impact of switching on PK similarity. Our simulation work illustrates that a range of factors should be carefully considered when designing a switching study for the assessment of interchangeability between 2 biological products.

Association of partial systemic exposure and abuse potential for opioid analgesics with abuse deterrence labeling claims supporting product-specific guidance.

BACKGROUND: Over the past decade, U.S. FDA has approved 10 opioid analgesics in abuse-deterrent formulations (ADFs). ADFs are intended to reduce abuse of a prescription opioid through manipulation of the product to use one or more routes of abuse. Although it is critically needed for evaluation of the abuse deterrent properties of an opioid product, the relationship between systemic exposure and likelihood of abuse of the opioid has not been fully characterized. To fill the current knowledge gap, we have evaluated the association of subjective measures predictive of abuse potential (e.g., scores of "drug liking," "take drug again"), which are referred to as 'pharmacodynamic (PD)' responses for measuring abuse potential, with systemic exposure of the opioid using the data from all the clinical abuse potential trials submitted to FDA in support of the approval of innovator ADFs. METHODS: Extensive pharmacokinetic (PK) and subjective response data from 11 clinical abuse potential trials in recreational opioid users following oral and nasal administration of intact and manipulated oxycodone, hydrocodone and morphine products from the FDA internal database were utilized for the present analysis. This retrospective study used data collected from January 11th, 2010 until March 25th, 2015. The potential relationship between PK metrics, especially those for early exposure measures, and the subjective measures of drug liking and take drug again as PD metrics of abuse potential were explored using linear and logistic regression analyses. Heterogeneity analysis was conducted to assess study-to-study variation and multi-level logistic regression analysis was used to affirm the identified PK-PD relationship based on pooled data. FINDINGS: Following oral and nasal administration of intact and manipulated opioids, the maximum visual analogue scale (VAS) for Drug Liking was generally achieved no later than the time to peak plasma drug concentration. Both heterogeneity analysis and multi-level logistic regression indicated insignificant inter study variability for the evaluated PK-PD relationships. Duration of Drug Liking response (i.e., VAS ≥ 65) lasted for 2 to 4 h after drug administration. The early portion of the systemic area under the plasma concentration-time curve (AUC), e.g., partial AUCs in the first 3 h and 4 h were found to be associated with abuse potential measures including maximum Drug Liking VAS and maximum Taking Drug Again VAS. Neither a formulation factor (e.g., immediate-release vs. extended-release, intact vs. manipulated) nor a route of administration was identified as a significant factor together with early partial AUCs to predict the probability of maximum Drug Liking or maximum Take Drug Again responses being greater than or equal to 65. INTERPRETATION: Our assessment indicates that the measure of early systemic drug exposure of opioids is the best predictor of the abuse potential response in recreational opioid users following oral or nasal administration of a single dose of an intact or manipulated abuse deterrent opioids. Our findings support FDA's recommendation of comparative PK studies with early partial AUCs as a supportive PK metric for the assessment of abuse deterrent properties of generic opioid drug products in the general and product-specific guidance's of ADFs. FUNDING: The study was partially funded by Fiscal Year 2017 Critical Path of the Center for Drug Evaluation and Research at the U.S. Food and Drug Administration.

Immunomodulatory Therapeutic Proteins in COVID-19: Current Clinical Development and Clinical Pharmacology Considerations.

The coronavirus disease 2019 (COVID-19) pandemic caused by infection with SARS-CoV-2 has led to more than 600 000 deaths worldwide. Patients with severe disease often experience acute respiratory distress characterized by upregulation of multiple cytokines. Immunomodulatory biological therapies are being evaluated in clinical trials for the management of the systemic inflammatory response and pulmonary complications in patients with advanced stages of COVID-19. In this review, we summarize the clinical pharmacology considerations in the development of immunomodulatory therapeutic proteins for mitigating the heightened inflammatory response identified in COVID-19.

Key Physicochemical Characteristics Influencing ADME Properties of Therapeutic Proteins.

Therapeutic proteins are a rapidly growing class of drugs in clinical settings. The pharmacokinetics (PK) of therapeutic proteins relies on their absorption, distribution, metabolism, and excretion (ADME) properties. Moreover, the ADME properties of therapeutic proteins are impacted by their physicochemical characteristics. Comprehensive evaluation of these characteristics and their impact on ADME properties are critical to successful drug development. This chapter summarizes all relevant physicochemical characteristics and their effect on ADME properties of therapeutic proteins.

Use of a Systems Pharmacology Model Based Approach Toward Dose Optimization of Parathyroid Hormone Therapy in Hypoparathyroidism.

We present an application of a quantitative systems pharmacology (QSP) model to support a regulatory decision, specifically in assessing the adequacy of the proposed dosing regimen. On January 23, 2015, the US Food and Drug Administration (FDA) approved Natpara (human parathyroid hormone (PTH)) to control hypocalcemia in patients with hypoparathyroidism. Clinical trial results indicated that although once-daily PTH reduced calcium and vitamin D dose requirement while maintaining the normocalcemia, the regimen was not adequate to control hypercalciuria. We hypothesized that the lack of control on urinary calcium excretion was due to the short half-life of PTH. The QSP model-based simulations indicated that a more frequent dosing regimen may provide better control on hypercalciuria while maintaining normocalcemia. A postmarketing trial was recommended to assess pharmacokinetics (PKs) and pharmacodynamics (PDs) of PTH dose and dosing regimen. Although other modeling approaches may be feasible, in this specific case, QSP model-based simulations fulfilled the information gap to support recommendations of this postmarketing trial.

Methadone Metabolism and Drug-Drug Interactions: In Vitro and In Vivo Literature Review.

Methadone is utilized for the treatment of individuals with opiate dependence. Methadone undergoes N-demethylation by multiple cytochrome P450 (CYP) enzymes including CYP3A4, CYP2B6, CYP2C19, CYP2D6, CYP2C9, and CYP2C8. In vivo, polymorphism effects on methadone systemic exposure have been noted for CYP2B6, CYP3A4, and CYP2D6. Clinical drug interaction studies with antiviral drugs in methadone maintenance treatment patients yield varying results on methadone pharmacokinetics and pharmacodynamics. In general, CYP inhibitors altered methadone exposure with no adverse effects. CYP inducers generally decreased methadone exposure with some reports of withdrawal symptoms in the subjects. Interaction studies with antiviral drug combinations yielding differing results depend on the enzyme(s) affected. For certain antiviral medicines which are dual inhibitor(s) and inducer(s) for CYP enzymes, their effect on methadone pharmacokinetics can change with time since the effect of induction is usually delayed compared to the effect of inhibition.

Canagliflozin use in patients with renal impairment-Utility of quantitative clinical pharmacology analyses in dose optimization.

Canagliflozin (INVOKANA™) is approved as an adjunct to diet and exercise to improve glycemic control in adults with type 2 diabetes mellitus (T2DM). Canagliflozin inhibits renal sodium-glucose co-transporter 2 (SGLT2), thereby, reducing reabsorption of filtered glucose and increasing urinary glucose excretion. Given the mechanism of action of SGLT2 inhibitors, we assessed the interplay between renal function, efficacy (HbA1c reduction), and safety (renal adverse reactions). The focus of this article is to highlight the FDA's quantitative clinical pharmacology analyses that were conducted to support the regulatory decision on dosing in patients with renal impairment (RI). The metrics for assessment of efficacy for T2DM drugs is standard; however, there is no standard method for evaluation of renal effects for diabetes drugs. Therefore, several analyses were conducted to assess the impact of canagliflozin on renal function (as measured by eGFR) based on available data. These analyses provided support for approval of canagliflozin in T2DM patients with baseline eGFR ≥ 45 mL/min/1.73 m(2) , highlighting a data-driven approach to dose optimization. The availability of a relatively rich safety dataset (ie, frequent and early measurements of laboratory markers) in the canagliflozin clinical development program enabled adequate assessment of benefit-risk balance in various patient subgroups based on renal function.

Clinical endpoint sensitivity in rheumatoid arthritis: modeling and simulation.

The commonly used efficacy endpoints in Rheumatoid Arthritis (RA) clinical trials are American College of Rheumatology 20 % improvement criteria (ACR20), ACR50, and ACR70 response rates, and the 28-joint disease activity score (DAS28). Longitudinal models to quantitate the exposure-response relationships for ACRs and DAS28 score were developed for four biologics used for the management of RA. The models were then used to simulate the clinical outcome at various time points following different treatment regimens. Discriminative sensitivity of these endpoints was assessed using a power analysis. The trial simulation and subsequent power analysis showed that both ACR20 and DAS28 exhibit much lower power in distinguishing between two doses investigated compared with distinguishing treatment effect over placebo/Methotrexate (MTX) control. ACR20 response rate is generally more powerful in detecting treatment effect over placebo/MTX control as compared to DAS28. The findings of current study provide useful information which will help future clinical trial design for the treatment of patients with RA.

Impact of study design on the evaluation of inhaled and intranasal corticosteroids' effect on hypothalamic-pituitary-adrenal axis function.

In part I of this review, an overview of the designs of hypothalamic-pituitary-adrenal (HPA) axis studies in the setting of inhaled corticosteroids (ICS) or intranasal corticosteroids (INS) use was discussed. Part II provides detailed discussion on the HPA axis evaluation results for each common ICS and INS, and how these results are possibly affected by the factors of study design. Significant adrenal suppression at conventional ICS/INS doses appears to be rare in clinical settings. The magnitude of cortisol suppression varies widely among different study designs. Factors potentially impacting this variability include: the choice of dose, dosing duration, assay sensitivity, statistical methodology, study population, and compliance. All of these factors have the potential to affect the extent of HPA axis effects detected and should be considered when designing or interpreting the results of a HPA axis study.

An overview of the pediatric medications for the symptomatic treatment of allergic rhinitis, cough, and cold.

Upper respiratory infections and allergic rhinitis are common diseases in children. In recent years, U.S. Food and Drug Administration has been promoting pediatric drug development with marketing exclusivity incentives and requirements. The assessment of clinical pharmacology, efficacy, and safety data has facilitated pediatric drug development and provided appropriate labeling for pediatric use. Regulatory decision making involves multiple evaluation processes, including drug exposure comparison between adult and pediatric population, formulation bridging, dose selection, and evaluation of efficacy and safety in pediatric patients. This article reviews the pediatric drugs indicated for cough, cold, and allergic rhinitis, focusing on the utility of clinical pharmacology, safety, and efficacy data in determining the pediatric dosing regimen and the approaches taken for regulatory decision making.

Impact of study design on the evaluation of inhaled and intranasal corticosteroids' effect on hypothalamic-pituitary-adrenal axis function, part I: general overview of HPA axis study design.

Inhaled and intranasal corticosteroids (ICS and INS) are among the mainstays of the treatment for asthma and allergic rhinitis, respectively, and also carry the potential to suppress the hypothalamic-pituitary-adrenal (HPA) axis. Several important factors affect the interpretability of trials investigating the impact of ICS and INS on the HPA axis. This paper reviews 106 published clinical trials, peer-reviewed articles, and New Drug Application reviews of approved ICS and INS, using MEDLINE and Drugs@FDA database. The trials included in this review evaluated the potential impact on HPA axis function of eight approved single-ingredient ICS and INS (beclomethasone dipropionate, budesonide, ciclesonide, flunisolide, fluticasone furoate, flucticasone propionate, mometasone furoate, and triamcinolone acetonide) and combination products containing these ingredients. The most commonly utilized design was blinded, placebo controlled, and short term (<6 weeks) for adult trials and blinded, placebo controlled, and long term (≥6 weeks) for pediatric trials. Factors potentially affecting trial results include the choice of dose, dosing duration, assay sensitivity, statistical methodology, and the study population evaluated (patients or healthy volunteers). All of these factors have the potential to affect the level of adrenal suppression detected. In conclusion, to be informative, a HPA axis study should be well designed and carefully implemented to minimize variability in results and improve the overall interpretability of data obtained.

The antibody drug absorption following subcutaneous or intramuscular administration and its mathematical description by coupling physiologically based absorption process with the conventional compartment pharmacokinetic model.

The main objective of this paper is to propose a quantitative model to describe the absorption process for monoclonal antibody (mAb) following subcutaneous (SC) or intramuscular (IM) administration. A hybrid model was established by coupling the physiologically based absorption process with a conventional pharmacokinetic-pharmacodynamic (PK-PD) or PK model associated with intravenous infusion. Key physiological parameters evaluated include the volume distribution before systemic absorption, mAb drug clearance during lymphatic transport, the neonatal Fc receptor (FcRn) capacity, the intrinsic drug clearance via lysosomal proteolytic process, and the lymphatic flow rate. Sensitivity analyses were performed to identify those physiological parameters significantly impacting time to peak concentration (T(max)) or drug bioavailability. Simulation results showed that lymphatic flow rate is the only influential factor to T(max). Lymphatic transit time and drug clearance during lymphatic transport are most influential to bioavailability but not identifiable in their effects. Bioavailability is positively related to the lymphatic flow only at its low range (i.e., at <0.5-fold of the selected value of 0.043 mL/min). The rest of physiological parameters only have marginal effects on either drug bioavailability or T(max). Finally, simulation results confirmed lymphatic transport as the major route of mAb delivery.

Regulatory review of acetaminophen clinical pharmacology in young pediatric patients.

The acetaminophen dosage schedule in pediatric patients below 12 years of age for the over-the-counter (OTC) monograph is one of the many issues being evaluated and discussed in the development of the Proposed Rule for Internal Analgesic, Antipyretic, and Anti-rheumatic drug products. The dosage regimen based on age and weight, with instructions that weight-based dosage should be used if a child's weight is known, is currently being assessed by the agency. This review summarizes the available pharmacokinetic and pharmacodynamic (fever reduction) data of oral acetaminophen in pediatric patients of 6 months to 12 years of age. Acetaminophen is metabolized in the liver mainly through glucuronidation, sulfation, and to a lesser extent oxidation. Because of the difference in the ontogeny of various metabolizing pathways, the relative contribution of each pathway to the overall acetaminophen metabolism in children changes with age. The sulfation pathway plays a more important role in metabolizing acetaminophen than the glucuronidation pathway in younger children as compared with older children and adults. The pharmacokinetic exposure of acetaminophen in pediatric patients of 6 months to 12 years of age given oral administration of 10-15 mg/kg is within the adult exposure range given the OTC monograph dose. The antipyretic effect of acetaminophen is dose dependent and appears to be better than placebo at the dose range of 10-15 mg/kg in pediatric patients of 6 months to 12 years of age.

Application of pharmacokinetics-pharmacodynamics/clinical response modeling and simulation for biologics drug development.

Biologics, specifically monoclonal antibody (mAb) drugs, have unique pharmacokinetic (PK) and pharmacodynamic (PD) characteristics as opposed to small molecules. Under the paradigm of model-based drug development, PK-PD/clinical response models offer critical insight in guiding biologics development at various stages. On the basis of the molecular structure and corresponding properties of biologics, typical mechanism-based [target-mediated drug disposition (TMDD)], physiologically based PK, PK-PD, and dose-response meta-analysis models are summarized. Examples of using TMDD, PK-PD, and meta-analysis in helping starting dose determination in first-in-human studies and dosing regimen optimization in phase II/III trials are discussed. Instead of covering the entirety of model-based biologics development, this review focuses on the guiding principles and the core mathematical descriptions underlying the PK or PK-PD models most used.

Dosing regimen determination for juvenile idiopathic arthritis: a review of studies during drug development.

Juvenile idiopathic arthritis (JIA) is the most common childhood arthritis. In the past 10-15 years, the medical treatment options of JIA have greatly evolved and expanded due to a better understanding of the disease and the application of biologic agents. Regulations pertinent to pediatric clinical research have also helped provide a legal basis for investigating the effects of drugs and biologics in pediatrics and facilitate the pediatric drug development. The evaluation of clinical pharmacology, efficacy, and safety has provided valuable labeling information for pediatric use, including comparing exposure between adult and pediatric patients, bridging different formulations and regimens, providing appropriate dose selection recommendation with the modeling and simulation approach, and assessing the risks and benefits. This review summarizes the drugs and biologics with JIA labeling implications and discusses the application of clinical pharmacology, safety, and efficacy assessment in determining pediatric dosing regimens.

Type 2 diabetes in pediatrics and adults: thoughts from a clinical pharmacology perspective.

Type 2 diabetes results when insulin secretion is unable to keep the plasma glucose levels as per acceptable range. This leads to chronic hyperglycemia and its associated microvascular complications such as renal impairment (diabetic nephropathy), retinal abnormalities (diabetic retinopathy), and autonomic, sensory, and motor neuropathies (diabetic neuropathy) and macrovascular disease. Historically, type 2 diabetes is well known as an adult-onset disease; however, lately, the incidence of the disease is reported to be increasing in children. Despite the wealth of information concerning type 2 diabetes in adults, data unique to the pediatric age group regarding the pathophysiology and therapy for type 2 diabetes are limited. For treatment in pediatric type 2 diabetes, metformin and insulin are the only antidiabetic agents approved currently. There are data of use of other oral antidiabetic drugs including glimepiride, rosiglitazone, and glyburide (in combination with metformin) in pediatric patients; however, formal clinical trials to establish the safety and efficacy have not been conducted. This review will compare the clinical pharmacology aspects of the oral type 2 diabetic drugs in pediatric and adult populations in order to determine any differences between the two patient groups.

Impact of pharmacometrics on drug approval and labeling decisions: a survey of 42 new drug applications.

The value of quantitative thinking in drug development and regulatory review is increasingly being appreciated. Modeling and simulation of data pertaining to pharmacokinetic, pharmacodynamic, and disease progression is often referred to as the pharmacometrics analyses. The objective of the current report is to assess the role of pharmacometrics at the US Food and Drug Administration (FDA) in making drug approval and labeling decisions. The New Drug Applications (NDAs) submitted between 2000 and 2004 to the Cardio-renal, Oncology, and Neuropharmacology drug products divisions were surveyed. For those NDA reviews that included a pharmacometrics consultation, the clinical pharmacology scientists ranked the impact on the regulatory decision(s). Of about a total of 244 NDAs, 42 included a pharmacometrics component. Review of NDAs involved independent, quantitative evaluation by FDA pharmacometricians, even when such analysis was not conducted by the sponsor. Pharmacometric analyses were pivotal in regulatory decision making in more than half of the 42 NDAs. Of the 14 reviews that were pivotal to approval related decisions, 5 identified the need for additional trials, whereas 6 reduced the burden of conducting additional trials. Collaboration among the FDA clinical pharmacology, medical, and statistical reviewers and effective communication with the sponsors was critical for the impact to occur. The survey and the case studies emphasize the need for early interaction between the FDA and sponsors to plan the development more efficiently by appreciating the regulatory expectations better.