In Vitro-in Vivo Relationship Research Articles

Establishing Virtual Bioequivalence and Clinically Relevant Specifications for Omeprazole Enteric-Coated Capsules by Incorporating Dissolution Data in PBPK Modeling.

Currently, Biopharmaceutics Classification System (BCS) classes I and III are the only biological exemptions of immediate-release solid oral dosage forms eligible for regulatory approval. However, through virtual bioequivalence (VBE) studies, BCS class II drugs may qualify for biological exemptions if reliable and validated modeling is used. Here, we sought to establish physiologically based pharmacokinetic (PBPK) models, in vitro-in vivo relationship (IVIVR), and VBE models for enteric-coated omeprazole capsules, to establish a clinically-relevant dissolution specification (CRDS) for screening BE and non-BE batches, and to ultimately develop evaluation criteria for generic omeprazole enteric-coated capsules. To establish omeprazole's IVIVR based on the PBPK model, we explored its in vitro dissolution conditions and then combined in vitro dissolution profile studies with in vivo clinical trials. The predicted omeprazole pharmacokinetics (PK) profiles and parameters closely matched the observed PK data. Based on the VBE results, the bioequivalence study of omeprazole enteric-coated capsules required at least 48 healthy Chinese subjects. Based on the CRDS, the capsules' in vitro dissolution should not be < 28%-54%, < 52%, or < 80% after two, three, and six hours, respectively. Failure to meet these dissolution criteria may result in non-bioequivalence. Here, PBPK modeling and IVIVR methods were used to bridge the in vitro dissolution of the drug with in vivo PK to establish the BE safety space of omeprazole enteric-coated capsules. The strategy used in this study can be applied in BE studies of other BCS II generics to obtain biological exemptions and accelerate drug development.

Visualization and correlation of drug release of risperidone/clozapine microspheres in vitro and in vivo based on FRET mechanism

This study addresses the challenging task of quantitatively investigating drug release from PLGA microspheres after in vivo administration. The objective is to employ Förster resonance energy transfer (FRET) to visualize drug-encapsulated microspheres in both in vitro and in vivo settings. The primary goal is to establish a quantitative correlation between FRET fluorescence changes and microsphere drug release. The study selects drugs with diverse structures and lipid solubility to explore release mechanisms, using PLGA as the matrix material. Clozapine and risperidone serve as model drugs. FRET molecules, Cy5 and Cy5.5, along with Cy7 derivatives, create FRET donor–acceptor pairs. In vitro results show that FRET fluorescence changes align closely with microsphere drug release, particularly for the Cy5.5-Cy7 pair. In vivo experiments involve subcutaneous administration of microspheres to rats, tracking FRET fluorescence changes while collecting blood samples. Pharmacokinetic studies on clozapine and risperidone reveal in vivo absorption fractions using the Loo-Riegelman method. Correlating FRET and in vivo absorption data establishes an in vitro–in vivo relationship (IVIVR). The study demonstrates that FRET-based fluorescence changes quantitatively link to microsphere drug release, offering an innovative method for visualizing and monitoring release in both in vitro and in vivo settings, potentially advancing clinical applications of such formulations.

A proposed framework to establish in vitro-in vivo relationships using gastric digestion models for food research.

In vitro digestion methods have been utilized in food research to reduce in vivo studies. Although previous studies have related in vitro and in vivo data, there is no consensus on how to establish an in vitro-in vivo relationship (IVIVR) for food digestion. A framework that serves as a tool to evaluate the utility and limitations of in vitro approaches in simulating in vivo processes is proposed to develop IVIVRs for food digestion, with a focus on the gastric phase as the main location of food structural breakdown during digestion. The IVIVR consists of three quantitative levels (A, B, and C) and a qualitative level (D), which relate gastric digestion kinetic data on a point-to-point basis, parameters derived from gastric digestion kinetic data, in vitro gastric digestion parameters with in vivo absorption or appearance parameters, and in vitro and in vivo trends, respectively. Level A, B, and C IVIVRs can be used to statistically determine the agreement between in vitro and in vivo data. Level A and B IVIVRs can be utilized further evaluate the accuracy of the in vitro approach to mimic in vivo processes. To exemplify the utilization of this framework, case studies are provided using previously published static and dynamic gastric in vitro digestion data and in vivo animal study data. Future food digestion studies designed to establish IVIVRs should be conducted to refine and improve the current framework, and to improve in vitro digestion approaches to better mimic in vivo phenomena.

In vitro-in vivo relationship for amorphous solid dispersions using a double membrane dissolution-permeation setup

The use of amorphous solid dispersions (ASDs) is one commonly applied formulation strategy to improve the oral bioavailability of poorly water-soluble drugs by overcoming dissolution rate and/or solubility limitations. While bioavailability enhancement of ASDs is well documented, it has often been a challenge to establish a predictive model describing in vitro-in vivo relationship (IVIVR). In this study, it is hypothesized that drug absorption might be overestimated by in vitro dissolution-permeation (D/P)-setups, when drug in suspension has the possibility of directly interacting with the permeation barrier. This is supported by the overprediction of drug absorption from neat crystalline efavirenz compared to four ASDs in a D/P-setup based on the parallel artificial membrane permeability assay (PAMPA). However, linear IVIVR (R2 = 0.97) is established in a modified D/P-setup in which the addition of a hydrophilic PVDF-filter acts as a physical boundary between the donor compartment and the PAMPA-membrane. Based on microscopic visualization, the improved predictability of the modified D/P-setup is due to the avoidance of direct dissolution of drug particles in the lipid components of the PAMPA-membrane. In general, this principle might aid in providing a more reliable evaluation of formulations of poorly water-soluble drugs before initiating animal models.

In silico bioavailability for BCS class II efavirenz tablets using biorelevant dissolution media for IVIVR and simulation of formulation changes

Objective This work aims to evaluate the ability of biorelevant dissolution media to simulate the bioavailability of efavirenz tablets, establish an in vitro-in vivo relationship (IVIVR) based on in vivo data using GastroPlus® and simulate formulation changes using DDDPlus™. Methods Solubility and drug release profiles were conducted in SLS 0.5% and biorelevant media, such as FaSSIF, FeSSIF, FaSSIF-V2, and FeSSIF-V2. The efavirenz physicochemical properties were used to simulate the plasma concentration profile and compare the simulated pharmacokinetic parameters in fasted and fed states. An IVIVR was developed using Loo-Riegelman as the deconvolution method to estimate drug bioavailability. DDDPlus™ was used to perform virtual trials of formulations to evaluate whether formulations changes and the efavirenz particle size could influence the bioavailability. Results The drug dissolution displayed higher levels in the biorelevant media that simulated gut-fed state (FeSSIF and FeSSIF-V2). The absorption model successfully predicted the efavirenz pharmacokinetics, and FeSSIF-V2 was chosen as the predictive dissolution media, while an IVIVR was established using the Loo-Riegelman deconvolution method. Conclusions The present work provides valuable information about efavirenz solubility and kinetics in the gastrointestinal tract, allowing an IVIVR to support future formulation changes. This understanding is essential for rational science-driven formulation development. At least, this study also showed the validity and applicability of in vitro and in silico tools in the regulatory scenario helping on drug development.

Physiologically relevant dissolution conditions towards improved in vitro - in vivo relationship – A case study with enteric coated pantoprazole tablets

There are many hurdles in the development of generic formulations. In vitro biopredictive dissolution conditions together with alternative in vitro - in vivo relationship (IVIVR) approaches can be a powerful tool to support the development of such formulations. In this study, we hypothesized that the release profile of enteric coated (EC) formulations of pantoprazole in physiologically relevant bicarbonate buffer (BCB) would detect possible performance differences between test and reference formulations resulting in more accurate IVIVR results and predictability when compared to a pharmacopeial dissolution test. We correlated the in vitro performance of test and reference formulations (both in BCB and pharmacopeial phosphate buffer) with the in vivo data from a failed bioequivalence study. Test and reference formulations of EC pantoprazole tablets passed the USP dissolution criteria. However, they failed statistical similarity in vitro both in compendial and BCB. Bicarbonate buffer was additionally more discriminative while being more physiologically relevant. Having BCB as an additional test to evaluate EC products in vitro might improve the comparison of formulations. This can de-risk the development of generic EC formulations.

Development, validation and application of physiologically based biopharmaceutics model to justify the change in dissolution specifications for DRL ABC extended release tablets

Objective The generic drug product DRL ABC is an Extended Release (ER) Tablet manufactured by Dr. Reddy’s Laboratories Limited and have multi point dissolution as part of release specification. A proposal is being made to revise the dissolution specification and the aim of present work was to evaluate if this would still provide bioequivalent product. Methods PBBM was developed for DRL ABC using literature reported pharmacokinetic (PK) data. The intravenous PK data and in vitro metabolic rate constants were utilized for developing PBPK model first, followed by that in conjugation with mechanistic ACATTM model, a PBBM is developed for per-oral immediate release formulations. The validated model was applied to predict clinical bioequivalence (BE) study data for the Reference (Innovator ER Tablet) and Test product. For Reference and Test product, in vivo dissolution profiles were mechanistically deconvoluted from plasma concentration (Cp)-time profiles. Further, mechanistic in vitro-in vivo relationship (IVIVR) applied to in vitro release profiles of two hypothetical Test product batches (one with single point low dissolution profile (SPLP) and other with overall low dissolution profile (LP)) in order to calculate their in vivo releases and population simulation was performed with 40 virtual subjects. Results Results from the cross-over virtual trials showed BE between the Reference and various Test product batches (SPLP and LP), with maximum Cp (Cmax) and area under the Cp-time curve (AUC0-inf) well within 80-125% range. Conclusion PBBM in conjugation with IVIVR and virtual BE was successfully applied for justifying changes in dissolution specification of DRL ABC.

The effect of polymer blends on initial release regulation and in vitro-in vivo relationship of peptides loaded PLGA-Hydrogel Microspheres.

The aim of this study was to resolve the lag time problem for peptides loaded PLGA-Hydrogel Microspheres (PLGA-gel-Ms) by blending low molecular PLGA (Mw. 1kDa) into PLGA (Mw. 10kDa) as an intrinsic porogen, and then assess the in vitro-in vivo relationship (IVIVR). Here, Goserelin acetate (GOS) was chosen as the model peptides. When compared to additional types of porogen, the intrinsic porogen avoided impurities remaining and protected the bioactivities of the peptides. By adding 10% PLGA (Mw. 1kDa), the lag time was eliminated both in vitro and in vivo with a desirable EE (97.04% ± 0.51%). The release mechanisms were found to be: a) initial GOS release mainly controlled by pores diffusion and b) autocatalysis of PLGA (Mw. 1kDa) which increased the quantity of aqueous pores, as revealed by SEM images. To solve the challenges caused by multiphasic release profiles, for the first time the Segmented phases IVIVR were proposed and developed, and showed improved linear fitting effects and supported the proposed release mechanisms. The application of PLGA blends could provide a new insight into PLGA microsphere initial release rate regulation.

3D printed capsules for quantitative regional absorption studies in the GI tract

Drug development is a long process which requires careful evaluation of the drug substance (active pharmaceutical ingredient, API), drug product (tablet, capsule etc.) and the bioperformance (both pre-clinical and clinical) before testing the efficacy of the final dosage form. The earliest assessment of a new drug substance requires an understanding of the safety and clinical performance (Phase 1) wherein faster processes (like on-site formulation strategy) have been set in place for quick clinical read-outs. One key gap that exists in this early assessment is the ability to evaluate modified release drug products. Here, an additive manufacturing approach is used to prepare polyvinyl alcohol (PVA) capsule shells using 3D printing (3DP), where the shells can be filled with either a solid or a liquid vehicle containing the API. In this work we demonstrate how we can delay the release of the API from the printed capsules allowing us to evaluate regional absorption in pre-clinical studies. By using 3DP, a new method to provide a series of release profiles is demonstrated, where the induction time of a delayed burst release is controlled by the wall thicknesses of printed capsules. New hanging baskets were also designed and 3D printed for the dissolution tests to better understand the rupturing of these capsules in an USP 2 dissolution apparatus. By controlling the wall thickness of the capsule, the induction time of drug release can be controlled from 12 to 198 min. This wide range of induction times demonstrated with this 3DP strategy is not currently available in a commercially available oral drug product form. Varying the induction times to the drug release to interrogate different regions of the GI tract is exhibited in vivo (beagle dogs) and initial analysis suggested a good in vitro/in vivo relationship (IVIVR).

From in vitro-in vivo relationship (IVIVR) towards in vitro-in vivo extrapolation (IVIVE): A case study of pulmonary delivery systems

From in vitro-in vivo relationship (IVIVR) towards in vitro-in vivo extrapolation (IVIVE): A case study of pulmonary delivery systems

Food Effect in Humans: Predicting the Risk Through In Vitro Dissolution and In Vivo Pharmacokinetic Models.

In vitro and in vivo experimental models are frequently used to assess a new chemical entity's (NCE) biopharmaceutical performance risk for food effect (FE) in humans. Their ability to predict human FE hinges on replicating key features of clinical FE studies and building an in vitro-in vivo relationship (IVIVR). In this study, 22 compounds that span a wide range of physicochemical properties, Biopharmaceutics Classification System (BCS) classes, and food sensitivity were evaluated for biorelevant dissolution in fasted- and fed-state intestinal media and the dog fed/fasted-state pharmacokinetic model. Using the area under the curve (AUC) as a performance measure, the ratio of the fed-to-fasted AUC (FE ratio) was used to correlate each experimental model to FE ratio in humans. A linear correlation was observed for the in vitro dissolution-human IVIVR (R (2) = 0.66, % mean square error 20.7%). Similarly, the dog FE ratio correlated linearly with the FE ratio in humans (R (2) = 0.74, % mean square error 16.25%) for 15 compounds. Data points near the correlation line indicate dissolution-driven mechanism for food effect, while deviations from the correlation line shed light on unique mechanisms that can come into play such as GI physiology or unusual physicochemical properties. In summary, fed/fasted dissolution studies and dog PK studies show a reasonable correlation to human FE, hence are useful tools to flag high-risk NCEs entering clinical development. Combining kinetic dissolution, dog FE model and in silico modeling one can study FE mechanism and formulation strategies to mitigate the FE risk.

Lyotropic liquid crystalline nanoparticles of CoQ10: implication of lipase digestibility on oral bioavailability, in vivo antioxidant activity, and in vitro-in vivo relationships.

The present investigation reports implications of the lipase digestibility of lyotropic liquid crystalline nanoparticles (LCNPs) on the oral bioavailability, in vivo antioxidant potential, and in vitro-in vivo relationship (IVIVR) of CoQ10 loaded LCNPs prepared from glyceryl monooleate (GLCQ) and phytantriol (PLCQ). Exhaustive optimization of the process variables was carried out, and optimized lyophilized formulations were found to have particle sizes of 140.45 ± 5.47 nm and 238.42 ± 8.35 nm and a polydispersity index (PDI) of 0.15 ± 0.01 and 0.22 ± 0.03 for GLCQ and PLCQ, respectively. The entrapment efficiency at 10% theoretical loading was found to be >90% in both the cases. The morphological characteristics of the developed formulations were assessed using high resolution transmission electron microscopy and small-angle X-ray scattering analysis, which showed hexagonal (HII) structure. The developed formulations were also found to be stable in simulated gastrointestinal fluids for the stipulated period of time. The in vitro drug release studies revealed a bimodal sustained release drug profile with Higuchi type release kinetics as the best fit release model for both the formulations. The best fit release models were found to be of the Hixson Crowell type in the case of GLCQ when carried out in lipase rich media, suggestive of matrix erosion and subsequent formation of secondary structures, which was further corroborated by carrier degradation studies. Furthermore, 9.1- and 10.67-fold increase in Caco-2 cell uptake was observed in the case of GLCQ and PLCQ, respectively, attributed to the formation of the virtual channel pathway as a probable absorption mechanism. Consequently, 7.09- and 8.67-fold increase in oral bioavailability was observed in the case of GLCQ and PLCQ, respectively. The IVIVR was also established with r(2) values in the order of 0.996 and 0.999 for GLCQ and PLCQ, respectively, in contrast to that of 0.484 for free CoQ10. Finally, in vivo prophylactic antioxidant efficacy against the STZ-treated rats using various markers such as GSH, LDH, SOD, MDA, glucose level, and body weight showed significantly higher antioxidant activity of CoQ10-LCNPs as compared to that of free CoQ10. In a nutshell, the developed formulation strategy poses great potential in improving the oral bioavailability of difficult-to-deliver drugs such as CoQ10.

Neuro-fuzzy Models as an IVIVR Tool and Their Applicability in Generic Drug Development

The usefulness of neuro-fuzzy (NF) models as an alternative in vitro-in vivo relationship (IVIVR) tool and as a support to quality by design (QbD) in generic drug development is presented. For drugs with complicated pharmacokinetics, immediate release drugs or nasal sprays, suggested level A correlations are not capable to satisfactorily describe the IVIVR. NF systems were recognized as a reasonable method in comparison to the published approaches for development of IVIVR. Consequently, NF models were built to predict 144 pharmacokinetic (PK) parameter ratios required for demonstration of bioequivalence (BE) for 88 pivotal BE studies. Input parameters of models included dissolution data and their combinations in different media, presence of food, formulation strength, technology type, particle size, and spray pattern for nasal sprays. Ratios of PK parameters Cmax or AUC were used as output variables. The prediction performance of models resulted in the following values: 79% of models have acceptable external prediction error (PE) below 10%, 13% of models have inconclusive PE between 10 and 20%, and remaining 8% of models show inadequate PE above 20%. Average internal predictability (LE) is 0.3%, and average external predictability of all models results in 7.7%. In average, models have acceptable internal and external predictabilities with PE lower than 10% and are therefore useful for IVIVR needs during formulation development, as a support to QbD and for the prediction of BE study outcome.

Generalized in vitro-in vivo relationship (IVIVR) model based on artificial neural networks

BackgroundThe aim of this study was to develop a generalized in vitro-in vivo relationship (IVIVR) model based on in vitro dissolution profiles together with quantitative and qualitative composition of dosage formulations as covariates. Such a model would be of substantial aid in the early stages of development of a pharmaceutical formulation, when no in vivo results are yet available and it is impossible to create a classical in vitro-in vivo correlation (IVIVC)/IVIVR.MethodsChemoinformatics software was used to compute the molecular descriptors of drug substances (ie, active pharmaceutical ingredients) and excipients. The data were collected from the literature. Artificial neural networks were used as the modeling tool. The training process was carried out using the 10-fold cross-validation technique.ResultsThe database contained 93 formulations with 307 inputs initially, and was later limited to 28 in a course of sensitivity analysis. The four best models were introduced into the artificial neural network ensemble. Complete in vivo profiles were predicted accurately for 37.6% of the formulations.ConclusionIt has been shown that artificial neural networks can be an effective predictive tool for constructing IVIVR in an integrated generalized model for various formulations. Because IVIVC/IVIVR is classically conducted for 2–4 formulations and with a single active pharmaceutical ingredient, the approach described here is unique in that it incorporates various active pharmaceutical ingredients and dosage forms into a single model. Thus, preliminary IVIVC/IVIVR can be available without in vivo data, which is impossible using current IVIVC/IVIVR procedures.

Flow-Through Cell Method and IVIVR for Poorly Soluble Drugs

The percentage of poorly soluble compounds in drug discovery and development increases steadily. A variety of possibilities exists f or increasing solubility and bioavailability; among them is the formation of salts. For the characterization of poorly soluble active pharmaceutical ingredients (API), it is necessary to develop appropriate analytical methods to determine relevant physicochemical properties. One important physicochemical parameter is the dissolution rate. As the flow-through cell (FTC) offers various advantages, such as operating with pH gradients and in sink conditions or applying unlimited amount of media, the FTC is particularly suitable for poorly soluble compounds. When developing an FTC method it is important to consider the physiological circumstances. By choosing the appropriate conditions for media, volume, flow rate, and so forth, it is possible to predict in vivo behavior. The focus of this work was to develop a small-scale FTC method for poorly soluble compounds designed for determining dissolution kinetics in the early development phase, where only limited amount of drug is available. The predictive power of the presented system could be demonstrated by an in vitro–in vivo relationship (IVIVR) study.

A New Discriminative Criterion for the Development of Franz Diffusion Tests for Transdermal Pharmaceuticals

In vitro skin/membrane permeation profiling of topical pharmaceuticals is an important overall quality attribute in the evaluation of product consistency and it is also used for IVIVR (in vitro - in vivo relationship) purposes in product development and change control. Franz diffusion cell (FDC) experiments are emerging as a generally accepted methodology in this field, where the choice of operational conditions requires a data-supported justification towards the discriminating power of the test. A response function is therefore proposed to objectively quantify the discriminating power. We evaluated the usefulness of the proposed response function by studying one of the operational conditions, i.e. the influence of receptor medium composition, on the FDC in vitro penetration behaviour of the model compound testosterone formulated in four different topical preparations, using both artificial membranes and dermatomed human skin. From the obtained cumulative amount of testosterone in the receptor fluid versus time curves, the permeability coefficient Kp of testosterone from each formulation was calculated. The evaluation of the discriminating power of the different media was performed using our new objective response function based upon an equal spread criterion of normalised Kp values. We demonstrated significant differences in discriminating power between the different media used, with the overall best results obtained with hydroxypropyl-beta-cyclodextrine (HPBCD) containing media. The proposed new criterion was found to be useful for the rational design of an in vitro diffusion test for transdermal pharmaceuticals.