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The landscape of oncology drug development has witnessed remarkable advancements over the last few decades, significantly improving clinical outcomes and quality of life for patients with cancer. Project Optimus, introduced by the U.S. Food and Drug Administration, stands as a groundbreaking endeavor to reform dose selection of oncology drugs, presenting both opportunities and challenges for the field. To address complex dose optimization challenges, an Oncology Dose Optimization IQ Working Group was created to characterize current practices, provide recommendations for improvement, develop a clinical toolkit, and engage Health Authorities. Historically, dose selection for cytotoxic chemotherapeutics has focused on the maximum tolerated dose, a paradigm that is less relevant for targeted therapies and new treatment modalities. A survey conducted by this group gathered insights from member companies regarding industry practices in oncology dose optimization. Given oncology drug development is a complex effort with multidimensional optimization and high failure rates due to lack of clinically relevant efficacy, this Working Group advocates for a case‐by‐case approach to inform the timing, specific quantitative targets, and strategies for dose optimization, depending on factors such as disease characteristics, patient population, mechanism of action, including associated resistance mechanisms, and therapeutic index. This white paper highlights the evolving nature of oncology dose optimization, the impact of Project Optimus, and the need for a tailored and evidence‐based approach to optimize oncology drug dosing regimens effectively. [ABSTRACT FROM AUTHOR]

A recent industry perspective published in this journal describes the benefits received by drug companies from participation in the MIDD Pilot Program. Along with the primary objectives of supporting good decision‐making in drug development, there were substantial savings in time and development costs. Furthermore, many sponsors reported qualitative benefits such as new learnings and clarity on MIDD strategies and methodology that could be applied to other development programs. Based on the success of the Pilot Program, the FDA recently announced the continuation of the MIDD Paired Meeting Program as part of the Prescription Drug User Fee Act (PDUFA VII). In this report, we describe the collective experiences of industry participants in the MIDD Program to date, including all aspects of the process from meeting request submission to follow‐up actions. The purpose is to provide future participants with information to optimize the value of the MIDD Program. [ABSTRACT FROM AUTHOR]

Approved and emerging siRNA therapeutics are primarily designed for targeted delivery to liver where the therapeutic gene silencing effects occurs. Impairment of hepatic/renal function and its impact on siRNA pharmacokinetics/pharmacodynamics (PKs/PDs) are yet to be mechanistically evaluated to describe the unanticipated clinical observations for this novel modality. We developed pathophysiologically relevant models for organ impairment within a physiologically‐based PK‐PD (PBPK‐PD) modeling framework focusing on modality‐specific mechanistic factors to evaluate impact on siRNA PKs and PDs. PBPK‐PD models for two US Food and Drug Administration (FDA) approved siRNAs inclisiran and vutrisiran were developed as case studies leveraging available tissue‐specific data and translated to humans. Key determinants of the clinical PK and PD of N‐acetylgalactosamine conjugated siRNAs (GalNAc‐siRNAs) with varying sequences were also identified to inform effective clinical translation strategies for emerging GalNAc‐siRNA candidates. A 30–70% reduction in hepatic asialoglycoprotein receptors concentrations still allowed for sufficient amount of free cytoplasmic siRNA for RISC‐loading to produce PD effects comparable in extent and duration to normal liver function. This included severe hepatic impairment for which no clinical data are available. Inclusion of other modality agnostic physiological changes relevant to organ impairment did not alter the findings. Changes in renal physiologies, including changes in GFR across various degrees of impairment, well predicted minimal changes in PD for inclisiran and vutrisiran. This work provides a quantitative mechanistic framework and insights on modality‐specific factors that drive clinical translation and patient/disease‐related factors that impact specific dosing considerations and clinical outcomes to help accelerate the optimal development of siRNA therapeutics. [ABSTRACT FROM AUTHOR]

Bispecific T cell engagers (Bi‐TCEs) have revolutionized the treatment of oncology indications across both liquid and solid tumors. Bi‐TCEs are rapidly evolving from conventional intravenous (i.v.) to more convenient subcutaneous (s.c.) administrations and extending beyond adults to also benefit pediatric patients. Leveraging clinical development experience across three generations of Bi‐TCE molecules across both liquid and solid tumor indications from i.v./s.c. dosing in adults and pediatric subjects, we developed a mechanistic‐physiologically‐based pharmacokinetic (PBPK) platform model for Bi‐TCEs. The model utilizes a full PBPK model framework and was successfully validated for PK predictions following i.v. and s.c. dosing across both liquid and solid tumor space in adults for eight Bi‐TCEs. After refinement to incorporate physiological ontogeny, the model was successfully validated to predict pediatric PKs in 1 month – < 2 years, 2–11 years, and 12–17 years old subjects following i.v. dosing. Following s.c. dosing in pediatric subjects, the model predicted similar bioavailability, however, a shorter time to maximum concentration (Tmax) for the three age groups compared with adults. The model was also applied to guide the dosing strategy for first generation of Bi‐TCEs for organ impairment, specifically renal impairment, and was able to accurately predict the impact of renal impairment on PK for these relatively small‐size Bi‐TCEs. This work highlights a novel mechanistic platform model for accurately predicting the PK in adult and pediatric patients across liquid and solid tumor indications from i.v./s.c. dosing and can be used to guide optimal dose and dosing regimen selection and accelerating the clinical development for Bi‐TCEs. [ABSTRACT FROM AUTHOR]

With the promise of a potentially single‐dose curative regimen, CAR‐T cell therapies have brought a paradigm shift in the treatment and management of hematological malignancies with 6 approved products in the USA. However, there are no approved CAR‐T cell therapies for solid tumors. Herein, we report the clinical pharmacology profile of AMG 119, the first CAR‐T cell therapy targeting delta‐like ligand 3 (DLL3), in patients with relapsed/refractory (R/R) small cell lung cancer (SCLC). AMG 119 demonstrated robust cellular expansion with long‐lasting cell persistence and a favorable exposure–response relationship. AMG 119 has been demonstrated to be clinically safe and well tolerated at the doses tested, with no dose‐limiting toxicities (DLTs) reported. This is the first publication of the clinical pharmacology profile of a CAR‐T cell therapy in SCLC, with encouraging cellular kinetics data supporting the potential for CAR‐T cell therapy in solid tumor space. [ABSTRACT FROM AUTHOR]

CAR‐T therapies have shown remarkable efficacy against hematological malignancies in the clinic over the last decade and new studies indicate that progress is being made to use these novel therapies to target solid tumors as well as treat autoimmune disease. Innovation in the field, including TCR‐T, allogeneic or "off the shelf" CAR‐T, and autoantigen/armored CAR‐Ts are likely to increase the efficacy and applications of these therapies. The unique aspects of these cell‐based therapeutics; patient‐derived cells, intracellular expression, in vivo expansion, and phenotypic changes provide unique bioanalytical challenges to develop pharmacokinetic and immunogenicity assessments. The International Consortium for Innovation and Quality in Pharmaceutical Development (IQ) Translational and ADME Sciences Leadership Group (TALG) has brought together a group of industry experts to discuss and consider these challenges. In this white paper, we present the IQ consortium perspective on the best practices and considerations for bioanalytical and immunogenicity aspects toward the optimal development of CAR‐T and TCR‐T cell therapies. [ABSTRACT FROM AUTHOR]

With the promise of a potentially "single dose curative" paradigm, CAR‐T cell therapies have brought a paradigm shift in the treatment and management of hematological malignancies. Both CAR‐T and TCR‐T cell therapies have also made great progress toward the successful treatment of solid tumor indications. The field is rapidly evolving with recent advancements including the clinical development of "off‐the‐shelf" allogeneic CAR‐T therapies that can overcome the long and difficult "vein‐to‐vein" wait time seen with autologous CAR‐T therapies. There are unique clinical pharmacology, pharmacometric, bioanalytical, and immunogenicity considerations and challenges in the development of these CAR‐T and TCR‐T cell therapies. Hence, to help accelerate the development of these life‐saving therapies for the patients with cancer, experts in this field came together under the umbrella of International Consortium for Innovation and Quality in Pharmaceutical Development (IQ) to form a joint working group between the Clinical Pharmacology Leadership Group (CPLG) and the Translational and ADME Sciences Leadership Group (TALG). In this white paper, we present the IQ consortium perspective on the best practices and considerations for clinical pharmacology and pharmacometric aspects toward the optimal development of CAR‐T and TCR‐T cell therapies. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

Talimogene Laherparepvec (T‐VEC) is a first‐in‐class oncolytic virotherapy approved for the treatment of unresectable melanoma recurrent after initial surgery. Biodistribution data from a phase II study was used to develop a viral kinetic mechanistic model describing the interaction between cytokines such as granulocyte‐macrophage colony‐stimulating factor (GM‐CSF), the immune system, and T‐VEC treatment. Our analysis found that (1) the viral infection rate has a great influence on T‐VEC treatment efficacy; (2) an increase in T‐VEC dose of 102 plaque‐forming units/ml 21 days and beyond after the initial dose of T‐VEC resulted in an ~12% increase in response; and (3) at the systemic level, the ratio of resting innate immune cells to the death rate of innate immune impact T‐VEC treatment efficacy. This analysis clarifies under which condition the immune system either assists in eliminating tumor cells or inhibits T‐VEC treatment efficacy, which is critical to both efficiently design future oncolytic agents and understand cancer development. [ABSTRACT FROM AUTHOR]

Antibody–drug conjugates (ADCs) represent a rapidly evolving area of drug development and hold significant promise. To date, nine ADCs have been approved by the US Food and Drug Administration (FDA). These conjugates combine the target specificity of monoclonal antibodies with the anticancer activity of small‐molecule therapeutics (also referred to as payload). Due to the complex structure, three analytes, namely ADC conjugate, total antibody, and unconjugated payload, are typically quantified during drug development; however, the benefits of measuring all three analytes at later stages of clinical development are not clear. The cytotoxic payloads, upon release from the ADC, are considered to behave like small molecules. Given the relatively high potency and low systemic exposure of cytotoxic payloads, drug–drug interaction (DDI) considerations for ADCs might be different from traditional small molecule therapeutics. The International Consortium for Innovation and Quality in Pharmaceutical Development (IQ Consortium) convened an ADC working group to create an IQ ADC database that includes 26 ADCs with six unique payloads. The analysis of the ADC data in the IQ database, as well as nine approved ADCs, supports the strategy of pharmacokinetic characterization of all three analytes in early‐phase development and progressively minimizing the number of analytes to be measured in the late‐phase studies. The systemic concentrations of unconjugated payload are usually too low to serve as a DDI perpetrator; however, the potential for unconjugated payloads as a victim still exists. A data‐driven and risk‐based decision tree was developed to guide the assessment of a circulating payload as a victim of DDI. [ABSTRACT FROM AUTHOR]

Advances in immuno‐oncology have provided a variety of novel therapeutics that harness the innate immune system to identify and destroy neoplastic cells. It is noteworthy that acceptable safety profiles accompany the development of these targeted therapies, which result in efficacious cancer treatment with higher survival rates and lower toxicities. Adoptive cellular therapy (ACT) has shown promising results in inducing sustainable remissions in patients suffering from refractory diseases. Two main types of ACT include engineered Chimeric Antigen Receptor (CAR) T cells and T cell receptor (TCR) T cells. The application of these immuno‐therapies in the last few years has been successful and has demonstrated a safe and rapid treatment regimen for solid and non‐solid tumors. The current review presents an insight into the clinical pharmacology aspects of immuno‐therapies, especially CAR‐T cells. Here, we summarize the current knowledge of TCR and CAR‐T cell immunotherapy with particular focus on the structure of CAR‐T cells, the effects and toxicities associated with these therapies in clinical trials, risk mitigation strategies, dose selection approaches, and cellular kinetics. Finally, the quantitative approaches and modeling techniques used in the development of CAR‐T cell therapies are described. [ABSTRACT FROM AUTHOR]

The purpose of this bridging phase I study was to characterize the toxicity, pharmacokinetics, and antitumor effects of a capsule formulation of DRF-1042, a novel camptothecin analog, in refractory solid [...]

Industrial Perspective on the Benefits Realized From the FDA's Model-Informed Drug Development Paired Meeting Pilot Program The paired meeting program provides an opportunity for drug developers and the FDA to iteratively discuss how proposed MIDD approaches can be used in a specific drug development program. The US Food and Drug Administration (FDA) Model-Informed Drug Development (MIDD) Paired Meeting Pilot Program was created to facilitate the application of MIDD principles1 to drug development. [Extracted from the article]

The predictive performance of physiologically‐based pharmacokinetics (PBPK) models for pharmacokinetics (PK) in renal impairment (RI) and hepatic impairment (HI) populations was evaluated using clinical data from 29 compounds with 106 organ impairment study arms were collected from 19 member companies of the International Consortium for Innovation and Quality in Pharmaceutical Development. Fifty RI and 56 HI study arms with varying degrees of organ insufficiency along with control populations were evaluated. For RI, the area under the curve (AUC) ratios of RI to healthy control were predicted within twofold of the observed ratios for > 90% (N = 47/50 arms). For HI, > 70% (N = 43/56 arms) of the hepatically impaired to healthy control AUC ratios were predicted within twofold. Inaccuracies, typically overestimation of AUC ratios, occurred more in moderate and severe HI. PBPK predictions can help determine the need and timing of organ impairment study. It may be suitable for predicting the impact of RI on PK of drugs predominantly cleared by metabolism with varying contribution of renal clearance. PBPK modeling may be used to support mild impairment study waivers or clinical study design. [ABSTRACT FROM AUTHOR]

Panitumumab is a fully human monoclonal antibody that binds to the epidermal growth factor receptor (EGFR), thereby inhibiting the growth and survival of tumors expressing EGFR. Panitumumab received approval in the USA in 2006 for the treatment of wild-type RAS (defined as wild-type in both KRAS and NRAS) metastatic colorectal cancer. Over the last 10 years, the pharmacokinetic and pharmacodynamic profile of panitumumab has been studied to further evaluate its safety, efficacy, and optimal dosing regimen. In this review, we summarize the key clinical pharmacokinetic and pharmacology data for panitumumab, and considerations for its use in special populations. Panitumumab has a nonlinear pharmacokinetic profile and its approved dosing regimen (6 mg/kg every 2 weeks) is based on body weight; dose adjustments are not needed based on sex, age, or renal or hepatic impairment. Drug interactions do not occur when panitumumab is combined with chemotherapy drugs including irinotecan, paclitaxel, and carboplatin. The level of tumor EGFR expression was found to have no effect on panitumumab pharmacokinetics or efficacy. The incidence of anti-panitumumab antibodies is low; when anti-panitumumab antibodies are produced, they do not affect the efficacy, safety, or pharmacokinetics of panitumumab. In summary, the pharmacokinetic and pharmacodynamic profile of panitumumab is well suited for standard dosing, and the approved body weight–based dosing regimen maintains efficacy and safety in the treatment of wild-type RAS metastatic colorectal cancer across a broad range of patients. [ABSTRACT FROM AUTHOR]

Introduction: Body weight can affect exposure, safety and efficacy of antibody-based therapies; sometimes these effects may not be clinically relevant. Panitumumab is approved for wild-type RAS metastatic colorectal cancer, using a body weight–based dosing regimen. Recently, a report cited fixed-dose usage of panitumumab, rather than approved body weight–based dosing. The current work evaluates optimal dosing regimen scientifically based on clinical data, modeling and simulation. Herein, we assessed the effect of fixed and body weight–based dosing on panitumumab pharmacokinetics to determine which approach resulted in the least interpatient pharmacokinetic variability. Patients and Methods: From the Vectibix program, 352 patients enrolled in three studies were evaluated; they had received panitumumab (body weight–based dose: 6 mg/kg every 2 weeks) and had pharmacokinetic (maximum serum [Cmax] and trough [Cmin] concentrations) and body weight data available. Additionally, concentration-time profiles at fixed (480 mg) and body weight–based doses (6 mg/kg) were simulated using a population pharmacokinetics model developed from 1200 patients. Results: After administration of panitumumab 6 mg/kg, Cmax and Cmin increased with increasing body weight; the mean Cmax and Cmin for patients weighing < 65 kg (lower quartile) were 23% and 30% lower, respectively, than for those weighing > 88 kg (upper quartile). The simulated area under the concentration–time curve (AUC) data also indicated that overall panitumumab exposure increased with increasing body weight for the body weight–based regimen. When AUC was simulated for a fixed dose (480 mg), the opposite effect was observed. Over the range of body weights, interpatient variability in simulated AUC was lower for the weight-based dose (29%) than for the fixed dose (34%). Conclusion: Results demonstrate that the weight-based dose (6 mg/kg) reduced variability in panitumumab exposure across the range of body weights compared with the fixed-dose approach, indicating that a body weight–based approach is the recommended patient dosing strategy. [ABSTRACT FROM AUTHOR]

Model‐based meta‐analysis (MBMA) is a valuable component of the quantitative pharmacology toolkit for model‐informed drug discovery and development. It enables principled decision making with a totality of evidence mindset through integration of internal and external data across multiple dimensions (e.g., targets/mechanisms, molecules/drugs, doses/regimens, diseases/indications, populations, endpoints, and clinical trial designs). MBMA distinguishes itself from traditional meta‐analysis by infusing pharmacologic plausibility into the statistical rigor that typifies meta‐analytic data integration. This is possible through mechanism‐informed formulation of pharmacologically inspired cause–effect and dose‐response relationships, time course of treatment effects, and interrelationships between proximal and distal outcomes of modulation of disease biology and pathophysiology. In this review, we offer a question‐based approach to enhance appreciation of the value of MBMA across the continuum from drug discovery and translational research through clinical development, comparative effectiveness research, and postapproval optimization of therapeutics using illustrative examples across therapeutic areas. [ABSTRACT FROM AUTHOR]

Regulatory agencies currently recommend itraconazole (ITZ) as a strong cytochrome P450 3A (CYP3A) inhibitor for clinical drug–drug interaction (DDI) studies. This work by an International Consortium for Innovation and Quality in Pharmaceutical Development working group (WG) is to develop and verify a mechanistic ITZ physiologically‐based pharmacokinetic model and provide recommendations for optimal DDI study design based on model simulations. To support model development and verification, in vitro and clinical PK data for ITZ and its metabolites were collected from WG member companies. The model predictions of ITZ DDIs with seven different CYP3A substrates were within the guest criteria for 92% of area under the concentration‐time curve ratios and 95% of maximum plasma concentration ratios, thus verifying the model for DDI predictions. The verified model was used to simulate various clinical DDI study scenarios considering formulation, duration of dosing, dose regimen, and food status to recommend the optimal design for maximal inhibitory effect by ITZ. [ABSTRACT FROM AUTHOR]

The article highlights the role of the J-Tpeak Interval in Proarrhythmic Cardiac Safety. Topics discussed the J-Tpeak interval is the time from the end of the QRS complex to the peak of the T-wave; mentions the assessment for unanticipated electrocardiogram (ECG) effects and highlights the use of Comprehensive in Vitro Proarrhythmia Assay (CiPA) initiative to impact drug discovery, development, and therapeutic use.

The article focuses on the public health crisis in the U.S. associated with drug-resistant infections. Topics discussed include the impact of the lack of pharmacokinetic and pharmacodynamic (PK/PD) data for antimicrobials on the drugs' failure to combat superbugs, the importance of understanding the PK/PD of antibiotics in relation to determining the ideal dosing regimen and the factors that make antimicrobial drug development a challenge.

Background: Apixaban is an oral, selective, direct factor Xa inhibitor approved for thromboprophylaxis after orthopedic surgery and stroke prevention in patients with atrial fibrillation, and under development for treatment of venous thromboembolism. This study investigated the effect of a gastric acid suppressant, famotidine (a histamine H2-receptor antagonist), on the pharmacokinetics of apixaban in healthy subjects. Methods: This two-period, two-treatment crossover study randomized 18 healthy subjects to receive a single oral dose of apixaban 10 mg with and without a single oral dose of famotidine 40 mg administered 3 hours before dosing with apixaban. Plasma apixaban concentrations were measured up to 60 hours post-dose and pharmacokinetic parameters were calculated. Results: Famotidine did not affect maximum apixaban plasma concentration (Cmax) or area under the plasma concentration-time curve from zero to infinite time (AUC∞). Point estimates for ratios of geometric means with and without famotidine were close to unity for Cmax (0.978) and AUC∞ (1.007), and 90% confidence intervals were entirely contained within the 80%-125% no-effect interval. Administration of apixaban alone and with famotidine was well tolerated. Conclusion: Famotidine does not affect the pharmacokinetics of apixaban, consistent with the physicochemical properties of apixaban (lack of an ionizable group and pH-independent solubility). Apixaban pharmacokinetics would not be affected by an increase in gastrointestinal pH due to underlying conditions (eg, achlorhydria), or by gastrointestinal pH-mediated effects of other histamine H2-receptor antagonists, antacids, or proton pump inhibitors. Given that famotidine is also an inhibitor of the human organic cation transporter (hOCT), these results indicate that apixaban pharmacokinetics are not influenced by hOCT uptake transporter inhibitors. Overall, these results support that apixaban can be administered without regard to coadministration of gastric acid modifiers. [ABSTRACT FROM AUTHOR]

Abstract: Alcohol (ethanol) and 3,4-methylenedioxymethamphetamine (MDMA, ecstasy) are frequently co-abused, but recent findings indicate a harmful drug interaction between these two agents. In our previous study, we showed that MDMA exposure inhibits the activity of the acetaldehyde (ACH) metabolizing enzyme, aldehyde dehydrogenase2 (ALDH2). Based on this finding, we hypothesized that the co-administration of MDMA and ethanol would reduce the metabolism of ACH and result in increased accumulation of ACH. Rats were treated with MDMA or vehicle and then administered a single dose of ethanol. Liver ALDH2 activity decreased by 35% in the MDMA-treated rats compared to control rats. The peak concentration and the area under the concentration versus time curve of plasma ACH were 31% and 59% higher, respectively, in the MDMA–ethanol group compared to the ethanol-only group. In addition, the MDMA–ethanol group had 80% higher plasma transaminase levels than the ethanol-only group, indicating greater hepatocellular damage. Our results not only support a drug interaction between MDMA and ethanol but a novel underlying mechanism for the interaction. [Copyright &y& Elsevier]

Fluoxetine has been shown to provide protection from MDMA induced long term neurotoxicity. The purpose of this investigation is to evaluate the pharmacokinetic drug interaction between MDMA and fluoxetine and also to determine the role of P-glycoprotein (P-gp) on mediating drug–drug interactions with MDMA. Bi-directional transport studies were conducted across MDCK-MDR1 and Caco-2 monolayers. MDMA brain and plasma levels were measured in P-gp deficient [mdr1a(-/-)] and normal [mdr1a(+/+)] mice after a 5 mg/kg i.p. dose of MDMA. Sprague–Dawley rats were pretreated with fluoxetine (4 days, 10 mg/kg, i.p.) or saline followed by MDMA (10 mg/kg, p.o.) and brain and plasma samples were collected over 10 h. MDMA and its active metabolite MDA were quantified using a HPLC method with fluorescence detection. In transport studies MDMA exhibited high permeability with essentially unpolarized transport. No significant difference in MDMA and MDA brain levels were seen in P-gp deficient versus normal mice. Pretreatment of rats with fluoxetine resulted in an increase in MDMA (1.4-fold) and MDA (1.5-fold) exposure in both brain and plasma. Elimination half-life was increased for MDMA (2.4 vs. 4.9 h) and MDA (1.8 vs. 8.2 h) with fluoxetine pretreatment. P-gp does not play a physiologically relevant role in absorption and distribution of MDMA, hence this transporter may not have a role in drug–drug interactions with MDMA. Fluoxetine pretreatment to provide protection from MDMA induced long term neurotoxicity decreases elimination of MDMA and MDA and may lead to enhanced risk of MDMA acute toxic effects. Overall, our results indicate that caution need to be practiced when recommending fluoxetine as an agent to provide protection from MDMA induced long term neurotoxicity. © 2007 Wiley-Liss, Inc. and the American Pharmacists Association J Pharm Sci 97:1593–1605, 2008 [ABSTRACT FROM AUTHOR]

Saxagliptin (Onglyza™) ¡s a dipeptidyl peptidase-4 (DPP4) inhibitor for treating type 2 diabetes mellitus. This open-label, randomized, two-way crossover study in 20 healthy female subjects investigated the effect of saxagliptin on the pharmacokinetics (PK) of the active components of a combined oral contraceptive (COC). Subjects received either COC (Ortho-Cyclen®) once daily (QD) for 21 days, then 5 mg saxagliptin QD + COC QD for 21 days, or vice versa. Coadministration of saxagliptin and COC did not alter the steady-state PK of the primary active oestrogen (ethinyl estradiol) or progestin (norelgestromin) COC components. The area under the concentration-time curve (AUC) and peak plasma concentration (Cmax) of an active metabolite of norelgestromin (norgestrel) were increased by 13 and 17%, respectively, a magnitude that was not considered clinically meaningful. Coadministration of saxagliptin and COC in this study was generally well-tolerated. Saxagliptin can be co-prescribed with an oestrogen/proqestin combination for women taking oral contraceptive. [ABSTRACT FROM AUTHOR]