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- Survey Outcome on Immunogenicity Risk Assessment Tools for
Biotherapeutics: an Insight into Consensus on Methods, Application, and
Utility in Drug Development-
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Abstract: A survey conducted by the Therapeutic Product Immunogenicity (TPI) community within the American Association of Pharmaceutical Scientists (AAPS) posed questions to the participants on their immunogenicity risk assessment strategies prior to clinical development. The survey was conducted in 2 phases spanning 5 years, and queried information about in silico algorithms and in vitro assay formats for immunogenicity risk assessments and how the data were used to inform early developability effort in discovery, chemistry, manufacturing and control (CMC), and non-clinical stages of development. The key findings representing the trends from a majority of the participants included the use of high throughput in silico algorithms, human immune cell-based assays, and proteomics based outputs, as well as specialized assays when therapeutic mechanism of action could impact risk assessment. Additional insights into the CMC-related risks could also be gathered with the same tools to inform future process development and de-risk critical quality attributes with uncertain and unknown risks. The use of the outputs beyond supporting early development activities was also noted with participants utilizing the risk assessments to drive their clinical strategy and streamline bioanalysis.
PubDate: 2023-06-02
- Population-Based Pharmacodynamic Modeling of Omalizumab in Pediatric
Patients with Moderate to Severe Persistent Inadequately Controlled
Allergic Asthma-
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Abstract: Omalizumab is the first approved anti-immunoglobulin E (IgE) agent for the treatment of moderate to severe persistent inadequately controlled allergic asthma in adults and adolescents (≥ 12 years old). In 2016, it was approved in pediatric patients (6–11 years old). The objective of this study was to quantitatively characterize the relationship between serum free IgE and pulmonary function (as measured by forced expiratory volume in 1 s [FEV1]) in pediatrics using a population-based pharmacodynamic model. Data collected during the steroid-stable period (first 24 weeks) of an omalizumab trial with pediatric asthma patients (Study IA05) were used to build the pediatric IgE–FEV1 model. The previously developed population IgE–FEV1 model in adults/adolescents was adapted to characterize the FEV1 and IgE relationship in pediatrics with different magnitude and onset of response. The pediatric IgE–FEV1 model adequately characterized the IgE–FEV1 relationship in pediatrics, particularly at the extremes of the observed body weights (i.e., ≤ 30 kg) and IgE values at screening (i.e., > 700 IU/mL). The estimated sigmoidal free IgE–FEV1 curves were similar in shape and maximum effect, but the estimated free IgE concentration leading to 50% maximum effect (IC50) in pediatric patients (39.4, 95% confidence interval [CI] 24.3–63.9 ng/mL) was higher than estimated in adults (19.8, 95% CI 15.1–24.5 ng/mL). The model further confirmed that the current omalizumab dosing rationale based on the mean target free IgE level of 25 ng/ml was appropriate. The pediatric model can be used to predict population FEV1 response for omalizumab when combined with an omalizumab pharmacokinetic–IgE model. Graphical abstract 
PubDate: 2023-06-02
- Anti-melanoma Effects of Resiquimod (RSQ) In Vitro and in Combination with
Immune Checkpoint Blockade In Vivo-
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Abstract: Melanoma is the deadliest form of skin cancer and surgery is currently the most effective treatment. However, there are situations where surgery fails or is not an option to treat melanoma patients. Immunotherapy such as immune checkpoint blockade (e.g., anti-PD-1) can be effective as an alternative treatment for melanoma patients; however, the percentage of melanoma patients that exhibit complete responses from anti-PD-1 monotherapy is low, and a hostile immunosuppressive tumor microenvironment may be at least partly responsible. Resiquimod (RSQ) is an imidazoquinolinamine derivative and TLR-7/8 agonist that could enhance the antitumor activity of immune checkpoint blockade when these agents are combined as a treatment for melanoma. Here, the effect of combining systemic anti-PD-1 and locally administered RSQ on the survival of melanoma-challenged mice was tested. Our results demonstrated that anti-PD-1 in combination with RSQ can significantly prolong the survival of melanoma-challenged mice, compared to untreated mice and mice treated with anti-PD-1 alone. In addition, the in vitro studies showed that RSQ can mediate a direct anti-proliferative effect on melanoma cells. In conclusion, the combination of RSQ and anti-PD-1 may be a promising treatment for melanoma patients, especially as both treatments have already been used independently to safely treat melanoma patients. Graphical 
PubDate: 2023-06-02
- Impact of Organ Impairment on the Pharmacokinetics of Therapeutic Peptides
and Proteins-
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Abstract: The kidneys and liver are major organs involved in eliminating small-molecule drugs from the body. Characterization of the effects of renal impairment (RI) and hepatic impairment (HI) on pharmacokinetics (PK) have informed dosing in patients with these organ impairments. However, the knowledge about the impact of organ impairment on therapeutic peptides and proteins is still evolving. In this study, we reviewed how often therapeutic peptides and proteins were assessed for the effect of RI and HI on PK, the findings, and the resulting labeling recommendations. RI effects were reported in labeling for 30 (57%) peptides and 98 (39%) proteins and HI effects for 20 (38%) peptides and 55 (22%) proteins. Dose adjustments were recommended for RI in 11 of the 30 (37%) peptides and 10 of the 98 (10%) proteins and for HI in 7 of the 20 (35%) peptides and 3 of the 55 (5%) proteins. Additional actionable labeling includes risk mitigation strategies; for example, some product labels have recommended avoid use or monitor toxicities in patients with HI. Over time, there is an increasing structural diversity of therapeutic peptides and proteins, including the use of non-natural amino acids and conjugation technologies, which suggests a potential need for reassessing the need to evaluate the effect of RI and HI. Herein, we discuss scientific considerations for weighing the risk of PK alteration due to RI or HI for peptide and protein products. We briefly discuss other organs that may affect the PK of peptides and proteins administered via other delivery routes. Graphical 
PubDate: 2023-05-26
- Predicting Human Bioavailability of Subcutaneously Administered Monoclonal
Antibodies Using Non-human Primate Linear Clearance and Antibody
Isoelectric Point-
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Abstract: The prediction of bioavailability is one of the major barriers in the clinical translation of subcutaneously (SC) administered therapeutic monoclonal antibodies (mAbs) due to the lack of reliable in vitro and preclinical in vivo predictive models. Recently, multiple linear regression (MLR) models were developed to predict human SC bioavailability of mAbs using human linear clearance (CL) and isoelectric point (pI) of the whole antibody or Fv regions as independent variables. Unfortunately, these models cannot be applied to mAbs at the preclinical development stage because human CLs of these mAbs are unknown. In this study, we predicted human SC bioavailability of mAbs using preclinical data only by two approaches. In the first approach, allometric scaling was used to predict human linear CL from non-human primate (NHP) linear CL. The predicted human CL and the pI of the whole antibody or Fv regions were then incorporated into two previously published MLR models to predict the human bioavailability of 61 mAbs. In the second approach, two MLR models were developed using NHP linear CL and the pI of whole antibody or Fv regions of 41 mAbs in a training set. The two models were validated using an independent test dataset containing 20 mAbs. The four MLR models generated 77–85% of predictions within 0.8- to 1.2-fold deviations from observed human bioavailability. Overall, this study demonstrated that human SC bioavailability of mAbs at the preclinical stage could be predicted using NHP CL and pI of mAbs. Graphical 
PubDate: 2023-05-25
- Micellar Encapsulation of Propofol Reduces its Adsorption on
Extracorporeal Membrane Oxygenator (ECMO) Circuit-
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Abstract: Extracorporeal membrane oxygenation (ECMO) is a life-saving cardiopulmonary bypass device used on critically ill patients with refractory heart and lung failure. Patients supported with ECMO receive numerous drugs to treat critical illnesses and the underlying diseases. Unfortunately, most drugs prescribed to patients on ECMO lack accurate dosing information. Dosing can be variable in this patient population because the ECMO circuit components can adsorb drugs and affect drug exposure substantially. Propofol is a widely used anesthetic in ECMO patients and is known to have high adsorption rates in ECMO circuits due to its high hydrophobicity. In an attempt to reduce adsorption, we encapsulated propofol with Poloxamer 407 (Polyethylene-Polypropylene Glycol). Size and polydispersity index (PDI) were characterized using dynamic light scattering. Encapsulation efficiency was analyzed using High performance liquid chromatography. Cytocompatibility of micelles was analyzed against human macrophages and the formulation was finally injected in an ex-vivo ECMO circuit to determine the adsorption of propofol. Size and PDI of micellar propofol were 25.5 ± 0.8 nm and 0.08 ± 0.01, respectively. Encapsulation efficiency of the drug was 96.1 ± 1.3%. Micellar propofol demonstrated colloidal stability at physiological temperature for a period of 7 days, and was cytocompatible with human macrophages. Micellar propofol demonstrated a significant reduction in adsorption of propofol in the ECMO circuit at earlier time points compared to free propofol (Diprivan®). We observed 97 ± 2% recovery of the propofol from the micellar formulation after an infusion. These results demonstrate the potential of micellar propofol to reduce drug adsorption to ECMO circuit. Graphical 
PubDate: 2023-05-25
- Amgen v. Sanofi: Critical Impact on the Value of Innovative Science in
Antibody Discovery-
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PubDate: 2023-05-12
- A Precise qNMR Method for the Rapid Quantification of Lot-to-Lot
Variations in Multiple Quality Attributes of Pentosan Polysulfate Sodium-
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Abstract: Pentosan polysulfate sodium (PPS) is an orphan drug with anticoagulant activity. PPS is prepared from the chemical processing of xylan extracted from beechwood tree to yield a mixture of 4–6 kDa polysaccharides. The chain is mainly composed of sulfated xylose (Xyl) with branched 4-O-methyl-glucuronate (MGA). During generic drug development, the quality attributes (QAs) including monosaccharide composition, modification, and length need to be comparable to those found in the reference list drug (RLD). However, the range of QA variation of the RLD PPS has not been well characterized. Here, multiple PPS RLD lots were studied using quantitative NMR (qNMR) and diffusion ordered spectroscopy (DOSY) to quantitate the components in the mixture and to probe both inter- and intra-lot precision variability. The DOSY precision assessed using coefficient of variation (CV) was 6%, comparable to PPS inter-lot CV of 5%. The QAs obtained from 1D qNMR were highly precise with a precision CV < 1%. The inter-lot MGA content was 4.8 ± 0.1%, indicating a very consistent botanical raw material source. Other process-related chemical modification including aldehyde at 0.51 ± 0.04%, acetylation at 3.3 ± 0.2% and pyridine at 2.08 ± 0.06%, varied more than MGA content. The study demonstrated that 1D qNMR is a quick and precise method to reveal ranges of variation in multiple attributes of RLD PPS which can be used to assess equivalency with generic formulations. Interestingly, the synthetic process appeared to introduce more variations to the PPS product than the botanical source of the material. Graphical 
PubDate: 2023-05-06
- Long-Acting Injectable Aqueous Suspensions—Summary From an AAPS
Workshop-
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Abstract: Through many years of clinical application of long-acting injectables, there is clear proof that this type of formulation does not just provide the patient with convenience, but more importantly a more effective treatment of the medication provided. The formulation approach therefore contains huge untapped potential to improve the quality of life of many patients with a variety of different diseases. This review provides a summary of some of the central talks provided at the workshop with focus on aqueous suspensions and their use as a long-acting injectable. Elements as formulation, manufacturing, in vitro dissolution methods, in vitro and in vivo correlation, in silico modelling provide an insight into some of the current understandings, learnings, and not least gaps in the field. Graphical 
PubDate: 2023-04-28
- Physiologically Based Pharmacokinetic Modeling to Characterize the Effect
of Molecular Charge on Whole-Body Disposition of Monoclonal Antibodies-
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Abstract: Motivated by a series of work demonstrating the effect of molecular charge on antibody pharmacokinetics (PK), physiological-based pharmacokinetic (PBPK) models are emerging that relate in silico calculated charge or in vitro measures of polyspecificity to antibody PK parameters. However, only plasma data has been used for model development in these studies, leading to unvalidated assumptions. Here, we present an extended platform PBPK model for antibodies that incorporate charge-dependent endothelial cell pinocytosis rate and nonspecific off-target binding in the interstitial space and on circulating blood cells, to simultaneously characterize whole-body disposition of three antibody charge variants. Predictive potential of various charge metrics was also explored, and the difference between positive charge patches and negative charge patches (i.e., PPC-PNC) was used as the charge parameter to establish quantitative relationships with nonspecific binding affinities and endothelial cell uptake rate. Whole-body disposition of these charge variants was captured well by the model, with less than 2-fold predictive error in area under the curve of most plasma and tissue PK data. The model also predicted that with greater positive charge, nonspecific binding was more substantial, and pinocytosis rate increased especially in brain, heart, kidney, liver, lung, and spleen, but remained unchanged in adipose, bone, muscle, and skin. The presented PBPK model contributes to our understanding of the mechanisms governing the disposition of charged antibodies and can be used as a platform to guide charge engineering based on desired plasma and tissue exposures. Graphical 
PubDate: 2023-04-28
- The Effect of Sampling Cannula on In Vitro Dissolution Testing with USP
Paddle Method-
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Abstract: In vitro dissolution tests are widely used as quality control tools for drug products in development and manufacturing. Dissolution acceptance criteria are one of the important factors assessed during the regulatory review process. Understanding potential sources of variability is critical and a key to assuring reliable results are obtained when using a standardized system for in vitro dissolution testing. Sampling cannulas are commonly used to withdraw sample aliquots from dissolution medium and are potentially one of the testing factors that can contribute to variabilities in dissolution testing. However, there are still no clear requirements on the size or setting (intermittent or stationary) of sampling cannulas for dissolution testing. Thus, the objective of this study is to evaluate whether various sizes and sampling cannula settings yield different dissolution results using the USP 2 apparatus. Sampling cannulas with outer diameter (OD) ranging from 1.6 mm to 9.0 mm were used in dissolution testing with either intermittent or stationary setting to collect sample aliquots at multiple time points. The dissolution results at each time point were statistically analyzed for effects of both OD and setting of sampling cannula on drug release from 10 mg prednisone disintegrating tablets. Dissolution results indicated both size and setting of the sampling cannula may cause significant systematic errors, even though the dissolution apparatus has been calibrated. The degree of interference in dissolution results was directly related to the OD of the sampling cannula. Size of sampling cannula and setting of sampling procedure should be documented in standard operating procedures (SOP) for dissolution testing during method development. Graphical 
PubDate: 2023-04-26
- Evaluation of Cellular Immune Response to Adeno-Associated Virus-Based
Gene Therapy-
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Abstract: The number of approved or investigational late phase viral vector gene therapies (GTx) has been rapidly growing. The adeno-associated virus vector (AAV) technology continues to be the most used GTx platform of choice. The presence of pre-existing anti-AAV immunity has been firmly established and is broadly viewed as a potential deterrent for successful AAV transduction with a possibility of negative impact on clinical efficacy and a connection to adverse events. Recommendations for the evaluation of humoral, including neutralizing and total antibody based, anti-AAV immune response have been presented elsewhere. This manuscript aims to cover considerations related to the assessment of anti-AAV cellular immune response, including review of correlations between humoral and cellular responses, potential value of cellular immunogenicity assessment, and commonly used analytical methodologies and parameters critical for monitoring assay performance. This manuscript was authored by a group of scientists involved in GTx development who represent several pharma and contract research organizations. It is our intent to provide recommendations and guidance to the industry sponsors, academic laboratories, and regulatory agencies working on AAV-based GTx viral vector modalities with the goal of achieving a more consistent approach to anti-AAV cellular immune response assessment.
PubDate: 2023-04-26
- Dissolution Profile Similarity Assessment—Best Practices, Decision Trees
and Global Harmonization-
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Abstract: During the write-up of the meeting summary reports from the 2019 dissolution similarity workshop held at the University of Maryland’s Center of Excellence in Regulatory Science and Innovation (M-CERSI), several coauthors continued their discussions to develop a “best-practice” document defining the steps required to assess dissolution profiles in support of certain biowaivers and postapproval changes. In previous reports, current challenges related to dissolution profile studies were discussed such that the steps outlined in the two flow charts (“decision trees”) presented here can be applied. These decision trees include both recommendations for the use of equivalence procedures between reference and test products as well as application of the dissolution safe space concept. Common approaches towards establishing dissolution safe spaces are described. This paper encourages the preparation of protocols clearly describing why and how testing is performed along with the expected pass/fail criteria prior to generating data on the materials to be evaluated. The target audience of this manuscript includes CMC regulatory scientists, laboratory analysts, as well as statisticians from industry and regulatory health agencies involved in the assessment of product quality via in vitro dissolution testing. Building upon previous publications, this manuscript provides a solution to the current ambiguity related to dissolution profile comparison. The principles outlined in this and previous manuscripts provide a basis for global regulatory alignment in the application of dissolution profile assessment to support manufacturing changes and biowaiver requests. Graphical 
PubDate: 2023-04-21
- Harmonizing Biopredictive Methodologies Through the Product Quality
Research Institute (PQRI) Part I: Biopredictive Dissolution of Ibuprofen
and Dipyridamole Tablets-
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Abstract: Assessing in vivo performance to inform formulation selection and development decisions is an important aspect of drug development. Biopredictive dissolution methodologies for oral dosage forms have been developed to understand in vivo performance, assist in formulation development/optimization, and forecast the outcome of bioequivalence studies by combining them with simulation tools to predict plasma profiles in humans. However, unlike compendial dissolution methodologies, the various biopredictive methodologies have not yet been harmonized or standardized. This manuscript presents the initial phases of an effort to develop best practices and move toward standardization of the biopredictive methodologies through the Product Quality Research Institute (PQRI, https://pqri.org) entitled “The standardization of in vitro predictive dissolution methodologies and in silico bioequivalence study Working Group.” This Working Group (WG) is comprised of participants from 10 pharmaceutical companies and academic institutes. The project will be accomplished in a total of five phases including assessing the performance of dissolution protocols designed by the individual WG members, and then building “best practice” protocols based on the initial dissolution profiles. After refining the “best practice” protocols to produce equivalent dissolution profiles, those will be combined with physiologically based biopharmaceutics models (PBBM) to predict plasma profiles. In this manuscript, the first two of the five phases are reported, namely generating biopredictive dissolution profiles for ibuprofen and dipyridamole and using those dissolution profiles with PBBM to match the clinical plasma profiles. Key experimental parameters are identified, and this knowledge will be applied to build the “best practice” protocol in the next phase. Graphical 
PubDate: 2023-04-21
- The AAPS Journal Theme Issue: Compendium of Immunogenicity Risk
Assessments: an Industry Guidance Built on Experience and Published Work-
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Abstract: Graphical 
PubDate: 2023-04-20
- Quantitative Analysis of Gastrointestinal Water Dynamics by Means of a
Physiologically Based Fluid Kinetic Model-
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Abstract: Since the processes of dissolution and membrane permeation are affected by the water content in the gastrointestinal (GI) tract, the water dynamics in the GI tract is expected to have a significant impact on the absorption of orally administered drugs. Here, we aimed to develop a physiologically based fluid kinetic (PBFK) model using GI water kinetic parameters obtained from in situ closed-loop studies in rats in order to quantitatively predict GI water dynamics. By incorporating the experimentally measured site-specific parameters of GI water absorption and secretion into a GI compartment model, we developed a bottom-up PBFK model that successfully simulates the reported GI fluid dynamics in rats and humans observed using positron emission tomography and magnetic resonance imaging, respectively. The simulations indicate that the water volume in both the stomach and duodenum is transiently increased by water ingestion, while that in the intestine below the jejunum is unchanged and remains in a steady state in both rats and humans. Furthermore, sensitivity analysis of the effect of ingested water volume on the volume-time profiles of water in the GI tract indicated that the impact of ingested water is limited to the proximal part of the GI tract. Simulations indicated that changes in water kinetic parameters may alter the impact of the ingested water on GI fluid dynamics, especially in the proximal part. Incorporating this PBFK model into a physiologically based pharmacokinetic (PBPK) absorption model has the potential to predict oral drug absorption in a variety of GI water environments. Graphical 
PubDate: 2023-04-20
- In Vitro-In Vivo Extrapolation and Scaling Factors for Clearance of Human
and Preclinical Species with Liver Microsomes and Hepatocytes-
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Abstract: In vitro-in vivo extrapolation ((IVIVE) and empirical scaling factors (SF) of human intrinsic clearance (CLint) were developed using one of the largest dataset of 455 compounds with data from human liver microsomes (HLM) and human hepatocytes (HHEP). For extended clearance classification system (ECCS) class 2/4 compounds, linear SFs (SFlin) are approximately 1, suggesting enzyme activities in HLM and HHEP are similar to those in vivo under physiological conditions. For ECCS class 1A/1B compounds, a unified set of SFs was developed for CLint. These SFs contain both SFlin and an exponential SF (SFβ) of fraction unbound in plasma (fu,p). The unified SFs for class 1A/1B eliminate the need to identify the transporters involved prior to clearance prediction. The underlying mechanisms of these SFs are not entirely clear at this point, but they serve practical purposes to reduce biases and increase prediction accuracy. Similar SFs have also been developed for preclinical species. For HLM-HHEP disconnect (HLM > HHEP) ECCS class 2/4 compounds that are mainly metabolized by cytochrome P450s/FMO, HLM significantly overpredicted in vivo CLint, while HHEP slightly underpredicted and geometric mean of HLM and HHEP slightly overpredicted in vivo CLint. This observation is different than in rats, where rat liver microsomal CLint correlates well with in vivo CLint for compounds demonstrating permeability-limited metabolism. The good CLint IVIVE developed using HLM and HHEP helps build confidence for prospective predictions of human clearance and supports the continued utilization of these assays to guide structure–activity relationships to improve metabolic stability. Graphical 
PubDate: 2023-04-13
- A Pharmacometrics Model to Characterize a New Type of Target-Mediated Drug
Disposition (TMDD) – Nonlinear Pharmacokinetics of Small-Molecule
PF-07059013 Mediated By Its High-capacity Pharmacological Target
Hemoglobin With Positive Cooperative Binding-
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Abstract: In general, small-molecule target-mediated drug disposition (TMDD) is caused by the interaction of a drug with its high-affinity, low-capacity pharmacological target. In the current work, we developed a pharmacometrics model to characterize a new type of TMDD, where the nonlinear pharmacokinetics (PK) is mediated by a high-capacity pharmacological target with cooperative binding instead of target saturation. The model drug we used was PF-07059013, a noncovalent hemoglobin modulator that demonstrated promising preclinical efficacy to treat sickle cell disease (SCD), and showed complex nonlinear PK in mice with the fraction of unbound drug in blood (fub) decreased with an increase in PF-07059013 concentrations/doses due to the positive cooperative binding of PF-07059013 to hemoglobin. Among the various models we evaluated, the best one is a semi-mechanistic model where only drug molecules not bound to hemoglobin were allowed for elimination, with the nonlinear pharmacokinetics being captured by incorporating cooperative binding for drug molecules bound to hemoglobin. Our final model provided valuable insight on target binding-related parameters, such as the Hill coefficient γ (estimated to be 1.6), binding constant KH (estimated to be 1450 µM), and the amount of total hemoglobin Rtot (estimated to be 2.13 µmol). As the dose selection of a compound with positive cooperative binding is tricky and challenging due to the nonproportional and steep response, our model may be valuable in facilitating the rational dose regimen selection for future preclinical animal and clinical trials for PF-07059013 and other compounds whose nonlinear pharmacokinetics are caused by similar mechanisms. Graphical 
PubDate: 2023-04-13
- Plasma Stability and Plasma Metabolite Concentration–Time Profiles of
Oligo(Lactic Acid)8-Paclitaxel Prodrug Loaded Polymeric Micelles-
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Abstract: Paclitaxel (PTX) is a frequently prescribed chemotherapy drug used to treat a wide variety of solid tumors. Oligo(lactic acid)8-PTX prodrug (o(LA)8-PTX) loaded poly(ethylene glycol)-b-poly(lactic acid) (PEG-b-PLA) micelles have higher loading, slower release and higher antitumor efficacy in murine tumor models over PTX-loaded PEG-b-PLA micelles. The goal of this work is to study plasma stability of o(LA)8-PTX-loaded PEG-b-PLA micelles and its pharmacokinetics after IV injection in rats. In rat plasma, o(LA)8-PTX prodrug is metabolized into o(LA)1-PTX and PTX. In human plasma, o(LA)8-PTX is metabolized more slowly into o(LA)2-PTX, o(LA)1-PTX, and PTX. After IV injection of 10 mg/kg PTX-equiv of o(LA)8-PTX prodrug loaded PEG-b-PLA micelles in Sprague–Dawley rats, metabolite abundance in plasma follows the order: o(LA)1-PTX > o(LA)2-PTX > o(LA)4-PTX > o(LA)6-PTX. Bile metabolite profiles of the o(LA)8-PTX prodrug is similar to plasma metabolite profiles. In comparison to equivalent doses of Abraxane®, plasma PTX exposure is two orders of magnitude higher for Abraxane® than PTX from o(LA)8-PTX prodrug loaded PEG-b-PLA micelles, and plasma o(LA)1-PTX exposure is fivefold higher than PTX from Abraxane®, demonstrating heightened plasma metabolite exposure for enhanced antitumor efficacy. Graphical 
PubDate: 2023-04-11
- The Uses and Advantages of Kirchhoff’s Laws vs. Differential Equations
in Pharmacology, Pharmacokinetics, and (Even) Chemistry-
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Abstract: In chemistry, rate processes are defined in terms of rate constants, with units of time−1, and are derived by differential equations from amounts. In contrast, when considering drug concentrations in biological systems, particularly in humans, rate processes must be defined in terms of clearance, with units of volume/time, since biological volumes, which are highly dependent on drug partition into biological tissues, cannot be easily determined. In pharmacology, pharmacokinetics, and in making drug dosing decisions, drug clearance and changes in drug clearance are paramount. Clearance is defined as the amount of drug eliminated or moved divided by the exposure driving that elimination or movement. Historically, all clearance derivations in pharmacology and pharmacokinetics have been based on the use of differential equations in terms of rate constants and amounts, which are then converted into clearance equations when multiplied/divided by a hypothesized volume of distribution. Here, we show that except for iv bolus dosing, multiple volumes may be relevant. We have recently shown that clearance relationships, as well as rate constant relationships, may be derived independent of differential equations using Kirchhoff’s Laws from physics. Kirchhoff’s Laws may be simply translated to recognize that when two or more rate-defining processes operate in parallel, the total value of the overall reaction parameter is equal to the sum of those rate-defining processes. In contrast, when two or more rate-defining processes operate in series, the inverse of the total reaction parameter is equal to the sum of the inverse of those rate-defining steps. Graphical 
PubDate: 2023-04-10
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