European Journal of Pharmaceutics and Biopharmaceutics最新文献

Microneedles offer a promising solution to enhancing dermal delivery of amniotic mesenchymal stem cell metabolite product (AMSC-MP), which contains hydrophilic protein components with high molecular weight, for the purposes of skin rejuvenation and improving human health. This study aimed to evaluate the physicochemical characteristics and in vivo efficacy of AMSC-MP-loaded microneedle patches for effectively regenerating skin tissues in UV-aging induced mice. Dissolving microneedle patches, composed of polyvinyl alcohol with an MW of 9–10 kDa and polyvinylpyrrolidone with an MW of 56 kDa, were fabricated using the double-casting method at three AMSC-MP concentrations: i.e., 30 % (MN30), 25 % (MN25), and 20 % (MN20). The microneedles patches were then evaluated for morphological, mechanical resistance, and insertion properties. An ex vivo release study was also conducted using the Franz cell method, and in vivo efficacy and irritation were then determined through collagen density scores, fibroblast cell counts, and skin irritation studies of UV-aging induced mice. The AMSC-MP microneedles displayed a pyramidal shape with 500 µm sharp tips. Mechanical testing revealed that MN30 achieved its deepest insertion into Parafilm® M (447.44 ± 37.21 µm), while MN25 achieved its deepest insertion into full-thickness porcine skin (717.92 ± 25.40 µm). The study revealed a controlled EGF release for up to 24 h, with MN20 exhibiting the highest deposition (55.94 ± 12.34 %). These findings demonstrate the successful penetration of microneedles through the stratum corneum and viable epidermis. Collagen density scores and fibroblast cell counts were significantly higher in all microneedle formulations than the control, with MN30 having the highest values. Inflammatory cell counts indicated minimal presence suggesting non-irritation in the in vivo study. Dissolving microneedle patches exhibited favorable characteristics and efficiently delivered AMSC-MP with minimal potential for irritation, providing potential technology for delivering biological anti-aging agents for the purposes of fostering skin regeneration.

Gastroretentive dosage forms are recommended for several active substances because it is often necessary for the drug to be released from the carrier system into the stomach over an extended period. Among gastroretentive dosage forms, floating tablets are a very popular pharmaceutical technology. In this study, it was investigated whether a rapid, nondestructive method can be used to characterize the floating properties of a tablet.

To accomplish our objective, the same composition was compressed, and varied compression forces were applied to achieve the desired tablet. In addition to physical examinations, digital microscopic images of the tablets were captured and analyzed using image analysis techniques, allowing the investigation of the floatability of the dosage form. Image processing algorithms and artificial neural networks (ANNs) were utilized to classify the samples based on their strength and floatability. The input dataset consisted solely of the acquired images.

It has been shown by our research that visible imaging coupled with pattern recognition neural networks is an efficient way to categorize these samples based on their floatability. Rapid and non-destructive digital imaging of tablet surfaces is facilitated by this method, offering insights into both crushing strength and floating properties.

Schizophrenia is a severe mental disorder that affects millions of people worldwide. Several atypical antipsychotic medications, including paliperidone (PPD), has been developed and proven effective in treating it. To date, four PPD extended-release products have been launched commercially, providing up to six months of therapeutic effect with a single administration. However, the need for hospital injections by professional healthcare workers not only lead to poor patients’ adherence, but also put additional pressure on the healthcare system. Therefore, three PPD microarray patch (PPD MAP) systems based on dissolving microneedle technology and implantable microneedle technology were developed in this work. The two dissolving microarray patch systems contained either PPD crude drug (PPD DMAP-CD) or PPD nanocrystal (PPD DMAP-NC) and the implantable MAP contained PPD crude drug (PPD IMAP). All three types of PPD MAPs showed excellent mechanical and insertion properties as they achieved over 256 µm insertion depth in skin model. In vitro release study showed that PPD released from IMAP in a much more sustained manner (up to 14 days) than PPD did from DMAPs (7 days), with only 20 % initial burst release from IMAP compared with 43–71 % from DMAPs. The MAP dissolution study showed that both DMAPs can be immediately dissolved within less than 3 min once inserted into the skin, indicating a faster action potential compared with IMAP. Ex vivo delivery study showed that 1.68 ± 0.23 mg, 1.39 ± 0.07 mg, and 1.18 ± 0.12 mg were delivered from DMAP-CD, DMAP-NC and IMAP, respectively, demonstrating that over 50 % and up to 70 % of PPD in the MAPs can be delivered into the skin. The IMAP offers most sustained release of PPD whereas DMAP-NC exhibits fastest PPD release (11.19 % vs 20.01 % into Franz cell receiver compartment over 24 h). This work presents a promising alternative for the sustained delivery of antipsychotic drugs, allowing for patient self-administration and extended release concurrently. Patients may potentially use both DMAP and IMAP to achieve a sustained release of PPD while also avoid having an initial therapeutic lag.

Although nearly 30 years have passed since the introduction of the first clinically approved photosensitizer for photodynamic therapy, progress in developing new pharmaceutical formulations remains unsatisfactory. This review highlights that despite years of research, many recurring challenges and issues remain unresolved. The paper includes an analysis of selected essential studies involving aminolevulinic acid and its derivatives, as well as other photosensitizers with potential for development as medical products. Among various possible vehicles, special attention is given to gelatin, alginates, poly(ethylene oxide), polyacrylic acid, and chitosan. The focus is particularly on infectious and cancerous diseases. Key aspects of developing new semi-solid drug forms should prioritize the creation of easily manufacturable and biocompatible preparations for clinical use. At the same time, new formulations should preserve the primary function of photosensitizers, which is the generation of reactive oxygen species capable of destroying pathogenic cells or tumors. Additionally, the use of adjuvant properties of carriers, which can enhance the effectiveness of macrocycles, is emphasized, especially in chitosan-based antibacterial formulations. Current research indicates that many promising dyes and macrocyclic compounds with high potential as photosensitizers in photodynamic therapy remain unexplored in formulation and development work. This review outlines potential new and previously explored pathways for advancing photosensitizers as active pharmaceutical ingredients (APIs).

This study introduces a novel approach utilizing a temporary drug-eluting hydrogel corneal patch to prevent neovascularization, alongside a numerical predictive tool for assessing the release and transport kinetics of bevacizumab (BVZ) after the keratoplasty. A key focus was investigating the impact of tear film clearance on the release kinetics and drug transport from the designed corneal patch. The proposed tear drug clearance model incorporates the physiological mechanism of lacrimal flow (tear turnover), distinguishing itself from previous models. Validation against experimental data confirms the model’s robustness, despite limitations such as a 2D axisymmetrical framework and omission of blink frequency and saccadic eye movements potential effects. Analysis highlights the significant influence of lacrimal flow on ocular drug transport, with the corneal patch extending BVZ residence time compared to topical administration. This research sets the stage for exploring multi-layer drug-eluting corneal patches as a promising therapeutic strategy in ocular health.

Background

Several population pharmacokinetic (PopPK) models of caffeine in preterm infants have been published, but the extrapolation of these models to facilitate model-informed precision dosing (MIPD) in clinical practice is uncertain. This study aimed to comprehensively evaluate their predictive performance using an external, independent dataset.

Methods

Data used for external evaluation were based on an independent cohort of preterm infants. Currently available PopPK models for caffeine in preterm infants were identified and re-established. Prediction- and simulation-based diagnostics were used to assess model predictability. The influence of prior information was assessed using Bayesian forecasting.

Results

120 plasma samples from 76 preterm infants were included in the evaluation dataset. Twelve PopPK models of caffeine in preterm infants were re-established based on our previously published study. Although two models showed superior predictive performance, none of the 12 PopPK models met all the clinical acceptance criteria of these external evaluation items. Besides, the external predictive performances of most models were unsatisfactory in prediction- and simulation-based diagnostics. Nevertheless, the application of Bayesian forecasting significantly improved the predictive performance, even with only one prior observation.

Conclusions

Two models that included the most covariates had the best predictive performance across all external assessments. Inclusion of different covariates, heterogeneity of preterm infant characteristics, and different study designs influenced predictive performance. Thorough evaluation is needed before these PopPK models can be implemented in clinical practice. The implementation of MIPD for caffeine in preterm infants could benefit from the combination of PopPK models and Bayesian forecasting as a helpful tool.

This publication is the first to report current, global, pediatric oral extemporaneous compounding practices. Complete survey responses were received from 479 participants actively involved in compounding across all the World Health Organization (WHO) regions. The survey addressed oral formulation of extemporaneous liquids, including the use of commercial or in-house vehicles, flavoring excipients, source of formulation recipes, and beyond use dates (BUDs). Over 90% of the survey participants prepared oral liquids. Solid dosage forms, comprising capsules and powder papers (sachets), were also frequently prepared for children, albeit to a lesser extent. The top 20 active pharmaceutical ingredients compounded for children, globally, were: omeprazole, captopril, spironolactone, propranolol, furosemide, phenobarbital, hydrochlorothiazide, ursodeoxycholic acid, sildenafil, melatonin, clonidine, enalapril, dexamethasone, baclofen, caffeine, chloral hydrate, trimethoprim, atenolol, hydrocortisone, carvedilol and prednisolone. Diuretics, drugs for acid-related disorders, and beta-blockers were the top three most frequently compounded classes per the WHO Anatomical Therapeutic Chemical (ATC) classification system. The principal need identified for the practice of extemporaneous compounding for children was the development of an international, open-access formulary that includes validated formulations, as well as updated compounding literature and guidelines. Furthermore, improved access to data from stability studies to allow compounding of formulations with extended BUDs.

Establishing an in vitro – in vivo correlation (IVIVC) for oral modified release (MR) formulations would make it possible to substitute an in vitro dissolution test for human bioequivalence (BE) studies when changing the formulation or manufacturing methods. However, the number of IVIVC applications and approvals are reportedly low. One of the main reasons for failure to obtain IVIVCs using conventional methodologies may be the lack of consideration of the dissolution and absorption mechanisms of drugs in the physiological environment. In particular, it is difficult to obtain IVIVC using conventional methodologies for drugs with non-linear absorption processes. Therefore, the aim of the present study was to develop a physiologically based biopharmaceutics model (PBBM) that enables Level A IVIVCs for mirabegron MR formulations with non-linear absorption characteristics.

Using human pharmacokinetic (PK) data for immediate-release formulations of mirabegron, the luminal drug concentration-dependent membrane permeation coefficient was calculated through curve fitting. The membrane permeation coefficient data were then applied to the human PK data of the MR formulations to estimate the in vivo dissolution rate by curve fitting. It was assumed that in vivo dissolution could be described using a zero-order rate equation. Furthermore, a Levy plot was generated using the estimated in vivo dissolution rate and the in vitro dissolution rate obtained from the literature. Finally, the dissolution rate of the MR formulations from the Levy plot was applied to the PBBM to predict the oral PK of the mirabegron MR formulations.

This PB-IVIVC approach successfully generated linear Levy plots with slopes of almost 1.0 for MR formulations with different dose strengths and dissolution rates. The Cmax values of the MR formulations were accurately predicted using this approach, whereas the prediction errors for AUC exceeded the Level A IVIVC criteria. This can be attributed to the incomplete description of colonic absorption in the current PBBM.

Efficient telmisartan delivery for hypertension management requires the incorporation of meglumine and/or sodium hydroxide as an alkalizer in the formulation. Long-term use of powerful alkalis with formulation as part of chronic therapy can cause metabolic alkalosis, ulcers, diarrhea, and body pain. Here, we aimed to design a telmisartan formulation without alkalizers. Telmisartan properties were tailor-made by microfluidizer-based physical modification. After microfluidization, telmisartan nanosuspension was lyophilized to obtain telmisartan premix powder. The optimized telmisartan nanosuspension had an average particle size of 579.85 ± 32.14 nm. The lyophilized premix was characterized by FT-IR, DSC, and PXRD analysis to ensure its physicochemical characteristics. The solubility analysis of premix showed 2.2 times, 2.3 times, and 6 times solubility improvement in 0.1 N HCl, phosphate buffer pH 7.5, and pH 6.8 compared to pure telmisartan. A 3D in-vitro Caco-2 model was developed to compare apparent permeability of API and powder premix. It showed that the powder premix was more permeable than pure API. The tablet formulation prepared from the telmisartan premix showed a dissolution profile comparable to that of the marketed formulation. The technique present herein can be used as a platform technology for solubility and permeability improvement of similar classes of molecules.

This method paper describes currently used experimental methods to predict the drug-in-polymer solubility of amorphous solid dispersions and offers a combined approach for applying the Melting-point-depression method, the Recrystallization method, and the Melting-and-mixing method. It aims to describe and expand on the theoretical basis as well as the analytical methodology of the recently published Melting-and-mixing method. This solubility method relies on determining the relationship between drug loads and the enthalpy of melting and mixing of a crystalline drug in the presence of an amorphous polymer. This relationship is used to determine the soluble drug load of an amorphous solid dispersion from the recorded enthalpy of melting and mixing of the crystalline drug portion in a drug-polymer sample at equilibrium solubility. Due to the complex analytical methodology of the Melting-and-mixing method, a software solution called the Glass Solution Companion app was developed. Using this new tool, it is possible to calculate the predicted drug-in-polymer solubility and Flory-Huggins interaction parameter from experimental samples, as well as to generate the resulting solubility-temperature curve. This software can be used for calculations for all three experimental methods, which would be useful for comparing the applicability of the methods on a given drug-polymer system. Since it is difficult to predict the suitability of these drug-in-polymer solubility methods for a specific drug-polymer system in silico, some experimental investigation is necessary. By optimizing the experimental protocol, it is possible to collect data for the three experimental methods simultaneously for a specific drug-polymer system. These results can then be readily analyzed using the Glass Solution Companion app to find the most appropriate method for the drug-polymer system, and therefore, the most reliable drug-in-polymer solubility prediction.