Supercritical anti-solvent fluidized bed (SAS-FB) coating technology has the advantages of reducing particle size, preventing high surface energy particle aggregation, improving the dissolution performance and bioavailability of insoluble drugs. The poor solubility of Biopharmaceutics Classification System (BCS) class IV drugs poses challenges in achieving optimal bioavailability. Numerous anti-cancer drugs including paclitaxel (PTX) belong to the BCS class IV, hindering their therapeutic efficacy. To address this concern, our study explored SAS-FB technology to coat PTX with D-α-tocopherol polyethylene glycol 1000 succinate (TPGS) onto lactose. Under our optimized conditions, we achieved a PTX coating efficiency of 96.8%. Further characterization confirmed the crystalline state of PTX in the lactose surface coating by scanning electron microscopy and X-ray powder diffraction. Dissolution studies indicated that SAS-FB processed samples release over 95% of the drug within 1 min. Moreover, cell transmembrane transport assays demonstrated that SAS-FB processed PTX samples co-coated with TPGS had an enhanced PTX internalization into cells and a higher permeability coefficient compared to those without TPGS. Finally, compared to unprocessed PTX, SAS-FB (TPGS) and SAS-FB processed samples showed a 2.66- and 1.49-fold increase in oral bioavailability in vivo, respectively. Our study highlights the efficacy of SAS-FB co-coating for PTX and TPGS as a promising strategy to overcome bioavailability challenges inherent in BCS class IV drugs. Our approach holds broader implications for enhancing the performance of similarly classified medications.
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http://dx.doi.org/10.3390/ph17040412 | DOI Listing |
Colloids Surf B Biointerfaces
December 2024
Department of Pharmaceutics, School of Pharmacy, Shenyang Pharmaceutical University, 103 Wenhua Road, Shenyang, Liaoning Province 110016, PR China. Electronic address:
Mesoporous carriers have gained significant attention for enhancing the solubility and bioavailability of Biopharmaceutics Classification System (BCS) Class II drugs. However, the contribution of mesoporous carriers with varying morphologies to the physical stability of these drugs is not well-defined. In this work, mesoporous carbon nanoparticles (MCN) and hollow carbon mesoporous nanoparticles (HMC) were prepared, while the weakly acidic Indomethacin (IMC) and alkaline Celecoxib (CXB) were incorporated into these carriers in the amorphous state by the solvent evaporation method.
View Article and Find Full Text PDFSci Rep
December 2024
Department of Industrial Chemistry, College of Science, Evangel University Akaeze, Ebonyi, Nigeria.
J Craniomaxillofac Surg
December 2024
State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, National Clinical Research Centre for Oral Diseases, Shaanxi Clinical Research Centre for Oral Diseases, Department of Trauma and Orthognathic Surgery, The Third Affiliated Hospital of Air Force Medical University, 710032, Xi'an, China. Electronic address:
The purpose of this study was to investigate the effect of bimaxillary surgery on smile characteristics, including smile line, smile arc, smile index (SI), most posterior teeth displayed(MPTD), buccal corridor ratio (BCR), and smile symmetry. The study consisted of 87 patients with dentofacial deformity: Class II (30 patients), Class III (37 patients), and asymmetry (20 patients). Pearson's chi-squared test and ANOVA were used to analyze the differences in smile characteristics across the preoperative groups.
View Article and Find Full Text PDFMol Pharm
December 2024
Institute of Chinese Medical Sciences (ICMS), State Key Laboratory of Quality Research in Chinese Medicine, University of Macau, Macau 999078, China.
The Biopharmaceutics Classification System (BCS) has facilitated biowaivers and played a significant role in enhancing drug regulation and development efficiency. However, the productivity of measuring the key discriminative properties of BCS, solubility and permeability, still requires improvement, limiting high-throughput applications of BCS, which is essential for evaluating drug candidate developability and guiding formulation decisions in the early stages of drug development. In recent years, advancements in machine learning (ML) and molecular characterization have revealed the potential of quantitative structure-performance relationships (QSPR) for rapid and accurate BCS classification.
View Article and Find Full Text PDFPharm Dev Technol
December 2024
Department of Pharmaceutics, Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal, India.
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