Predictions of tissue concentrations of myclobutanil, oxyfluorfen, and pronamide in rat and human after oral exposures via GastroPlusTM physiologically based pharmacokinetic modelling.

Heritage agrochemicals like myclobutanil, oxyfluorfen, and pronamide, are extensively used in agriculture, with well-established studies on their animal toxicity. Yet, human toxicity assessment relies on conventional human risk assessment approaches including the utilization of animal-based ADME (Absorption, Distribution, Metabolism, and Excretion) data. In recent years, Physiologically Based Pharmacokinetic (PBPK) modelling approaches have played an increasing role in human risk assessment of many chemicals including agrochemicals. This study addresses the absence of PBPK-type data for myclobutanil, oxyfluorfen, and pronamide by generating in vitro data for key input PBPK parameters (Caco-2 permeability, rat plasma binding, rat blood to plasma ratio, and rat liver microsomal half-life), followed by generation of PBPK models for these three chemicals via the GastroPlusTM software. Incorporating these experimental input parameters into PBPK models, the prediction accuracy of plasma AUC (area under curve) was significantly improved. Validation against rat oral administration data demonstrated substantial enhancement. Steady-state plasma concentrations (Css) of pronamide aligned well with published data using measured PBPK parameters. Following validation, parent-based tissue concentrations for these agrochemicals were predicted in humans and rats after single or 30-day repeat exposure of 10 mg/kg/day. These predicted concentrations contribute valuable information for future human toxicity risk assessments of these agrochemicals.

Using molecularly dissolved drug concentrations in PBBMs improves the prediction of oral absorption from supersaturating formulations.

Predicting the absorption of drugs from enabling formulations is still challenging due to the limited capabilities of standard physiologically based biopharmaceutics models (PBBMs) to capture complex absorption processes. Amongst others, it is often assumed that both, molecularly and apparently dissolved drug in the gastrointestinal lumen are prone to absorption. A recently introduced method for measuring concentrations of molecularly dissolved drug in a dynamic in vitro dissolution setup using microdialysis has opened new opportunities to test this hypothesis and refine mechanistic PBBM approaches. In the present study, we compared results of PBBMs that used either molecularly or apparently dissolved concentrations in the simulated gastrointestinal lumen as input parameters. The in vitro dissolution data from three supersaturating formulations of Posaconazole (PCZ) were used as model input. The modeling outcome was verified using PCZ concentration vs. time profiles measured in human intestinal aspirates and in the blood plasma. When using apparently dissolved drug concentrations (i.e., the sum of colloid-associated and molecularly dissolved drug) the simulated systemic plasma exposures were overpredicted, most pronouncedly with the ASD-based tablet. However, if the concentrations of molecularly dissolved drug were used as input values, the PBBM resulted in accurate prediction of systemic exposures for all three PCZ formulations. The present study impressively demonstrated the value of considering molecularly dissolved drug concentrations as input value for PBBMs of supersaturating drug formulations.

Use of In silico Methodologies to Predict the Bioavailability of Oral Suspensions: A Regulatory Approach.

BACKGROUND: Oral suspensions are heterogeneous disperse systems, and the particle size distribution, crystalline form of the dispersed solid, and composition of the formulation can be listed as parameters that control the drug dissolution rate and its bioavailability. OBJECTIVE: The aim of this work was to develop a discriminative dissolution test, which, in association with in silico methodologies, can make it possible to safely anticipate bioavailability problems. METHODS: Nimesulide and ibuprofen (BCS class II) and cephalexin (BCS class I) oral suspensions were studied. Previously, solid-state structure and particle size in active pharmaceutical ingredients were characterized and the impact of differences on solubility was evaluated for the choice of discriminative medium. Afterwards, particle size distribution (0.1 to 360 µm), dissolution profile, and in vitro permeability in Caco-2 cell of commercial suspensions, were determined. These parameters were used as input for the establishment of the in vitro-in vivo correlation (IVIVC) for the suspensions using the GastroPlus™ with Wagner-Nelson and Loo- Riegelmann deconvolution approach. RESULTS: The predicted/observed pharmacokinetic model showed good correlation coefficients (r) of 0.960, 0.950, and 0.901, respectively. The IVIVC was established for one nimesulide and two ibuprofen suspensions with r between 0.956 and 0.932, and the percent prediction error (%PE) did not exceed 15%. CONCLUSION: In this work, we have performed a complete study combining in vitro/in silico approaches with the aim of anticipating the safety and efficacy of oral pharmaceutical suspensions in order to provide a regulatory tool for this category of products in a faster and more economical way.

Prediction of tissue and urine concentrations of 2-phenoxyethanol and its metabolite 2-phenoxyacetic acid in rat and human after oral and dermal exposures via GastroPlusTM physiologically based pharmacokinetic modelling.

A physiologically based pharmacokinetic (PBPK) model for the important chemical phenoxyethanol (PhE) and its metabolite phenoxyacetic acid (PhAA) was built via GastroPlusTM software (version 9.0) using currently available analytically measured plasma and urinary time-courses of both PhE and its metabolite PhAA. This model was validated and used to predict tissue and urine concentrations of PhE and its metabolite PhAA in rats and humans after oral and dermal exposures. The prediction results showed that most predicted tissue concentrations of PhE or PhAA were lower than the experimental tissue concentrations based on total radioactivity. The predicted cumulative excretion of PhAA in both rats and humans fits very well with most experimental data. With this GastroPlusTM-based model, the margins of exposure (MOE) of PhE and PhAA were also calculated as 194 and 73.7, respectively. The predicted MOE of PhE is two-fold higher than the previous PBPK model built using total radioactivity-based tissue time courses, and the predicted MOE of PhAA was comparable to the previous PBPK model. These data indicate that for chemicals like PhE, GastroPlusTM can integrate multiple data sets into PBPK models to predict PK parameters for parent and metabolites in both rats and humans following intravenous, dermal, or oral exposures.

Prediction of the bioequivalence of different crystal forms of rifampicin based on physiologically based pharmacokinetic model / 中国药科大学学报

@#The physiologically based pharmacokinetic (PBPK) modeling strategy was adopted to predict the pharmacokinetic behavior of crystal forms I and II of rifampicin in humans, which was used to determine whether the two were bioequivalent.After conducting studies in vitro of the two crystal forms, a rat PBPK model was established based on the pharmacokinetic data of intravenous administration in rats.The model was optimized by the pharmacokinetic data of oral administration in rats.Species were extrapolated to healthy humans, and the extrapolation model was used to predict such pharmacokinetic behaviors as the drug-time curve, absorption site, and absorption amount of the two crystal forms of rifampicin in healthy humans.The prediction results of the healthy human model showed that the cmax of form I and form II rifampicin were 8.42 and 10.35 μg/mL, tmax were 0.40 and 0.32 h,and AUC0-t were both 62.90 μg·h/mL.According to the prediction results of absorption, neither crystal form I nor crystal form II rifampicin was absorbed in the stomach, yet both were completely absorbed in the intestinal tract, with both the absorption site and the absorption amount were basically the same.The pharmacokinetic parameters of both crystal forms I and II of rifampicin were very close, which could indicate bioequivalence.

Optimized In Silico Modeling of Drug Absorption after Gastric Bypass: The Case of Metformin.

Bariatric surgery is an effective treatment for severe obesity and related comorbidities, such as type II diabetes. Gastric bypass surgery shortens the length of the intestine, possibly leading to altered drug absorption. Metformin, a first-line treatment for type II diabetes, has permeability-dependent drug absorption, which may be sensitive to intestinal anatomic changes during bypass surgery, including Roux-en-Y gastric bypass (RYGB). Previous computer simulation data indicate increased metformin absorption after RYGB. In this study, we experimentally determined the region-dependent permeability of metformin, using the rat single-pass intestinal perfusion method (SPIP), which we then implemented into GastroPlusTM to assess the contribution of our SPIP data to post-RYGB metformin absorption modeling. Previous simulations allowed a good fit with in vivo literature data on healthy and obese control subjects. However, it was revealed that for post-RYGB drug absorption predictions, simply excluding the duodenum/jejunum is insufficient, as the software underestimates the observed plasma concentrations post-RYGB. By implementing experimentally determined segmental-dependent permeabilities for metformin in the remaining segments post-surgery, GastroPlusTM proved to fit the observed plasma concentration profile, making it a useful tool for predicting drug absorption after gastric bypass. Reliable evaluation of the parameters dictating drug absorption is required for the accurate prediction of overall absorption after bariatric surgery.

Vesicular elastic liposomes for transdermal delivery of rifampicin: In-vitro, in-vivo and in silico GastroPlus™ prediction studies.

This study investigated enhanced bioavailability and sustained delivery of transdermally delivered rifampicin (RIF) in elastic liposomes (ELs). F3, F5, and F7 were optimized formulations comprising of 200, 140 and 80 mg of tween 80, respectively, and PhospholiponⓇ 90 G (300 mg). They were optimized based on in vitro and ex vivo parameters. Using the Franz diffusion cell, an ex vivo study was conducted by utilizing the rat skin for permeation profiles. Also, pharmacokinetic parameters, mechanistic evaluation of penetration, and histopathological investigation were conducted in the rat model for complete dynamic evaluations. Vesicle sizes of suspensions and gels were found to be similar whereas zeta potential of gel attained more negativity due to acidic carbopol. Permeation parameters of gels were significantly (p < 0.05) higher compared to respective ELs due to increased residence time and the composition of the formulations (ethanol, tween 80, d-limonene and lipid). Bioavailability of RIF (F5 gel) was improved by transdermal absorption as evidenced with AUC0→24 of transdermal F5 gel (56.23±2.7 µg.hr/mL) and oral drug suspension (41.71±5.2 µg.hr/mL). A lower value of transdermal Cmax (6.9 ± 0.8 µg/mL) validated sustained delivery for improved tuberculosis management than oral delivery (10.5 ± 1.46.9 ± 0.8 µg/mL). In vivo skin interaction, biopsy and in silico prediction studies corroborated suitable alternative for sustained and prolonged delivery of RIF with high patient compliance to control cutaneous tuberculosis and related infections.

Establishment of a clinically relevant specification for dissolution testing using physiologically based pharmacokinetic (PBPK) modeling approaches.

This paper presented how to establish a clinically relevant specification (CRS) using in silico physiologically based pharmacokinetic (PBPK) modeling. Three different formulations of model drug products were used in the clinical studies in order to distinguish between bioequivalent (BE) batches from non-BE batches. A human PBPK model was constructed by integrating the clinical and non-clinical observations by using GastroPlusTM software. The developed model was verified by the comparison between human PK behavior observed in clinical studies and human PK behavior predicted from the software. The simulation results were obtained by using the dissolution profiles showing clinically relevant discriminatory power as input variables for the developed PBPK model. For three investigated formulations, the simulated PK behavior was comparable to the PK behavior observed in clinical studies. In addition, in silico BE simulation studies confirmed that the verified PBPK model can successfully reproduce the clinical study results. In conclusion, a CRS was established with the BE simulation by using the verified PBPK model, in order to detect and reject non-BE batches of drug products. The establishment of the CRS is useful for a quality control and finding optimal formulation to accomplish target PK behavior, safety, and efficacy.

Effect of casting solvent, film-forming agent and solubilizer on orodispersible films of a polymorphic poorly soluble drug: an in vitro/in silico study.

In the current work, a full factorial experimental design was utilized to formulate piroxicam into orodispersible films while investigating the effects of some formulation factors on the properties of the resulting films. These factors were (A) the casting solvent: water and acetone/water mixture; (B) the film-forming agent: HPMC K4M and Na-alginate; (C) the solubilization system: no solubilizer, L-arginine, poloxamer and L-arginine/poloxamer mixture. Sixteen formulation runs were prepared by solvent casting method to obtain 10 mg piroxicam dosage units. Drug particle size in the prepared formulations and dissolution efficiency at 30 min were selected as responses variables. Additionally, the prepared films from each formulation were evaluated for other characters as drug content, thickness, residual water…etc. A selected formulation was then evaluated for its in vivo disintegration, palatability and stability. Utilizing acetone in the casting solution, Na-alginate as film-forming agent or both of them resulted in formation of films with larger drug particles and slower dissolution. Combined use of L-arginine and poloxamer showed better drug dissolution than using each alone. HPMC was more favorable than Na-alginate regarding mechanical properties and moisture absorption. Films from the selected formulation showed fast in vivo disintegration and acceptable palatability. These films were stable for 6 months under accelerated storage conditions. According to the computer simulation using GastroPlus™, the in vitro/in vivo behavior of piroxicam in the tested formulation was similar to that of an immediate-release formulation containing BCS class I drug. The selected formulation is therefore would satisfy the WHO perquisites for applying the biowaiver.

Integration of In Silico Pharmacokinetic Modeling Approaches Into In Vitro Dissolution Profiles to Predict Bioavailability of a Poorly Soluble Compound.

The objective of present study is to develop pharmacokinetic (PK) prediction methods using in silico PK model for oral immediate release drug products (i.e. solution, suspension, and amorphous solid dispersion). A poorly water soluble compound with low bioavailability in rat was used (CS-758 as a model compound). A constructed in silico PK model contained an advance compartmental absorption and transit model. For solution, the in silico PK model reproduced an observed rat plasma concentration (Cp)-time profile. In addition, an in vitro dissolution method was developed to predict a rat Cp-time profile for suspension. As a result, the in silico PK model could predict the observed one by using dissolution profiles as the input. Furthermore, a dissolution profile of amorphous solid dispersion was applied to verify the in silico PK model. A result indicated the simulated rat Cp-time profile was significantly comparable to the observed one. This study demonstrated that the integration of an in silico PK model into dissolution profiles can predict rat Cp-time profiles for suspension and amorphous solid dispersion. These results suggest that the integration of in silico PK modeling approaches into dissolution profiles can contribute to the formulation screening for poorly soluble compounds by predicting PK behaviors.

Performance evaluation of the GastroPlusTM software tool for prediction of the toxicokinetic parameters of chemicals.

The accurate prediction of toxicokinetic parameters arising from oral, dermal and inhalation routes of chemical exposure is a key element in chemical safety assessments. In this research, the physiologically based pharmacokinetic (PBPK) GastroPlusTM software was evaluated against a series of chemicals for the prediction of toxicokinetic parameters. Overall, 67% of predicted intrinsic clearance (Clint) values were within 1- to 10-fold of empirical data for 463 compounds, and 87% of the predicted fraction unbounded in plasma (Fup) values were 1- to 3-fold of empirical data for 441 compounds. The r2 (coefficient of determination) of predicted Cmax (maximum plasma concentration) and AUC (Area Under Curve) values versus the corresponding empirical values from oral, inhalation and dermal exposures ranged from 0.04 to 0.92. Among the three exposures, the highest r2 values, ranging from 0.80 to 0.92, were observed for oral exposure predictions, where 88% of the compounds had 1- to 10-fold differences between predicted and empirical values for Cmax and AUC. The predicted plasma Css (steady-state plasma concentration) values were consistent with those Css values calculated by in vitro-to-in vivo extrapolation (IVIVE) approaches using experimental parameters. Based on the evaluation results, GastroPlus™ can be used as a QSAR/PBPK tool for toxicokinetic parameter predictions.

In vitro -In vivo- In silico Simulation of Experimental Design Based Optimized Curcumin Loaded Multiparticulates System.

The present study focused to optimize dual coated multiparticulates using Box-Behnken Experimental Design and in-silico simulation using GastroPlusTM software. The optimized formulations (OB1 and OB2) were comparatively evaluated for particle size, morphological, in vitro drug release, and in vivo permeation studies. In silico simulation study predicted the in vivo performance of the optimized formulation based on in-vitro data. Results suggested that optimized formulation was obtained using maximum content of Eudragit FS30D and minimum drying time (2 min). In vitro data corroborated that curcumin release was completely protected from premature drug release in the proximal part of gastro intestinal tract and successfully released to the colon (95%) which was closely predicted (90.1 %) by GastroPlusTM simulation technique. Finally, confocal laser scanning microscopy confirmed the in-vitro findings wherein maximum intensity was observed with OB1 treated group suggesting successful delivery of OB1 to the colon for enhanced absorption as predicted in regional absorption profile in ascending colon (30.9%) and caecum (23.2%). Limited drug absorption was predicted in small intestine (1.5-8.7%). The successful outcomes of the research work minimized the release of curcumin in the upper gastric tract and the maximized drug access to the colon (pH 7.4) as prime concern.

Determinação das curvas de absorção, perfis de dissolução e estabelecimento de correlação in vitro-in vivo por métodos in silico utilizando o GastroPlusTM e o DDDPlusTM / Determination of absorption curves, dissolution profiles and establishment of in vitro-in vivo correlation by in silico methods using GastroPlusTM and DDDPlusTM

O uso de programas de computador para prever a absorção de fármacos em humanos e simular perfis de dissolução tem se tornado uma ferramenta bastante valiosa na área farmacêutica. O objetivo deste trabalho foi utilizar métodos in silico por meio dos programas de computador GastroPlusTM e DDDPlusTM para simular curvas de absorção de fármacos, perfis de dissolução e estabelecer correlações in vitro-in vivo (CIVIVs). O material aqui apresentado é constituído por cinco capítulos incluindo os fármacos cetoprofeno, pirimetamina, metronidazol, fluconazol, carvedilol e doxazosina. No capítulo 1 são apresentadas curvas plasmáticas simuladas para comprimidos matriciais de cetoprofeno, sendo estabelecida a CIVIV. A utilização de simulações de ensaios de dissolução intrínseca para os fármacos pirimetamina e metronidazol como uma ferramenta para classificação biofarmacêutica é detalhada no capítulo 2. No capítulo 3, a simulação de curvas plasmáticas a partir de cápsulas de fluconazol contendo diferentes perfis de dissolução é demonstrada como uma ferramenta para bioisenção. Estudos de CIVIV foram também realizados para comprimidos de liberação imediata de carvedilol a partir dos perfis de dissolução no capítulo 4. Já o capítulo 5 trata da aplicação de simulações de ensaios de dissolução para o desenvolvimento de formulações de liberação prolongada de doxazosina. As simulações das curvas plasmáticas, assim como a CIVIV, obtidas com o auxílio do programa GastroPlusTM, além dos ensaios de dissolução intrínsica e os perfis de dissolução obtidos por meio do uso do programa DDDPlusTM apresentaram-se como ferramentas de grande aplicação na previsão de características biofarmacêuticas sobre os fármacos e formulações, permitindo redução de tempo e custo com trabalho experimental em laboratório

The use of computer programs to predict drug absorption in humans and to simulate dissolution profiles has become a valuable tool in the pharmaceutical area. The objective of this study was to use in silico methods through software GastroPlusTM and DDDPlusTM to simulate drug absorption curves and dissolution profiles, and to establish in vitro-in vivo correlations (IVIVCs). The work presented herein is divided into five chapters and includes the drugs ketoprofen, pyrimethamine, metronidazole, fluconazole, carvedilol and doxazosin. In Chapter 1, simulated plasma curves for ketoprofen matrix tablets are presented and IVIVC was established. The use of simulated intrinsic dissolution tests for pyrimethamine and metronidazole as a tool for biopharmaceutics classification is detailed in Chapter 2. In Chapter 3, simulation of plasma curves for fluconazole capsules with different dissolution profiles is demonstrated as a tool for biowaiver. IVIVC studies were also conducted for carvedilol immediate-release tablets from dissolution profiles in Chapter 4. Chapter 5 covers the application of simulated dissolution tests for development of doxazosin extended-release formulations. Simulation of plasma curves and IVIVC using the software GastroPlusTM as well as intrinsic dissolution tests and dissolution profiles using the software DDDPlusTM proved to be a tool of wide application in predicting biopharmaceutical characteristics of drugs and formulations, allowing the reduction of time and costs of experimental laboratory work