Objective: The objective of this study was to develop a novel 1 month depot paclitaxel (PTX) microspheres that give a sustained and complete drug release.
Materials And Methods: PTX loaded microspheres were prepared by o/w emulsion solvent evaporation technique using the blends of poly(lactic-co-glycolic acid) (PLGA) 75/25, polycaprolactone 14,000 and polycaprolactone 80,000. Fourier transform infrared spectroscopy was used to investigate drug excipient compatibility. Compatible blends were used to prepare F1-F6 microspheres, the process was characterised and the optimum formulation was selected based on the release. Optimised formulation was characterised for solid state of the drug using the differential scanning calorimetry (DSC) studies, surface morphology using the scanning electron microscopy (SEM), in vivo drug release, in vitro in vivo correlation (IVIVC) and anticancer activity. Anticancer activity of release medium was determined using the cell viability assay in Michigan Cancer Foundation (MCF-7) cell line.
Results: Blend of PLGA with polycaprolactone (Mwt 14,000) at a ratio of 1:1 (F5) resulted in complete release of the drug in a time frame of 30 days. F5 was considered as the optimised formulation. Incomplete release of the drug resulted from other formulations. The surface of the optimised formulation was smooth and the drug changed its solid state upon fabrication. The formulation also resulted in 1-month drug release in vivo. The released drug from F5 demonstrated anticancer activity for 1-month. Cell viability was reduced drastically with the release medium from F5 formulation. A 100% IVIVC was obtained with F5 formulation suggesting the authenticity of in vitro release, in vivo release and the use of the formulation in breast cancer.
Conclusions: From our study, it was concluded that with careful selection of different polymers and their combinations, PTX 1 month depot formulation with 100% drug release and that can be used in breast cancer was developed.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3807978 | PMC |
| http://dx.doi.org/10.4103/2230-973X.119212 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Enhanced oral absorption and biodistribution to submandibular salivary glands of D-limonene in Sprague Dawley rats via a liquid-lipid formulation approach.
Int J Pharm
January 2025
UniSA: Clinical & Health Sciences, University of South Australia, Adelaide, Australia. Electronic address:
Decreased saliva production due to salivary gland damage can result in difficulty speaking and swallowing, significantly reducing quality of life for head and neck cancer patients receiving radiotherapy. It is therefore imperative that treatment options are available to mitigate the effects of these debilitating side effects. D-limonene, a naturally occurring terpene, has shown protective effects on saliva production during radiotherapy treatment of mice, however the lipophilic nature of the molecule has necessitated a high oral dose to facilitate sufficient absorption.
View Article and Find Full Text PDFHybrid Prairie Dog and Dwarf Mongoose optimization algorithm-based application placement and resource scheduling technique for fog computing environment.
Sci Rep
January 2025
Department of Computer Science and Engineering, K. S. Rangasamy College of Technology, Tiruchengode, Namakkal, 637 215, Tamil Nadu, India.
The fog computing paradigm is better for creating delay-sensitive applications in Internet of Things (IoT). As the fog devices are resource constrained, the deployment of diversified IoT applications requires effective ways for determining available resources. Therefore, implementing an efficient resource management strategy is the optimal choice for satisfying application Quality of Service (QoS) requirements to preserve the system performance.
View Article and Find Full Text PDFNet Promoter Score Model for Evaluating Paediatric Medicine Acceptability: Validation and Feasibility Study.
Pharmaceutics
November 2024
Division of Pharmacy, School of Allied Health, The University of Western Australia, Perth, WA 6009, Australia.
: Medicine acceptability is crucial for paediatric drug development, yet its assessment remains challenging due to the multifaceted nature of sensory attributes like taste, smell, and mouthfeel. Traditional methods of acceptability evaluation often involve complex questionnaires and lack standardisation, leading to difficulties in a comparative analysis across studies. This study aimed to develop a simplified, standardised approach for assessing medicine acceptability introducing the Net Promoter Score (NPS) framework to derive a Medicine Acceptability Score (MAS).
View Article and Find Full Text PDFDesigning, Implementing and Optimising a Capacity‑Building Model for Infectious Disease Modelling in India.
Ann Glob Health
January 2025
Department of Community Medicine, All India Institute of Medical Sciences, Nagpur, India.
Mathematical models are not integrated into the policy‑making process in low‑ and middle‑income countries, including India, primarily due to limited capacity in building mathematical models, lack of trust in the model findings and the reluctance of policy‑makers to apply the model findings to formulate policies. There is a perceived need to create a critical mass of trained infectious disease experts and modelers within the public health and clinical domain. Thus, with the support of the Department of Health Research (DHR), we developed a 3‑month post‑graduate (PG) certificate course on infectious disease modelling, the first of such a course in India.
View Article and Find Full Text PDFPreparation and optimisation of solid lipid nanoparticles of rivaroxaban using artificial neural networks and response surface method.
J Microencapsul
January 2025
Pharmaceutical Sciences Research Center, Hemoglobinopathy Institute, Mazandaran University of Medical Sciences, Sari, Iran.
Article Synopsis
- The study focused on enhancing the delivery of rivaroxaban through optimized solid lipid nanoparticles (SLN) to improve their size, entrapment efficiency, and ability to dissolve and cross the blood-brain barrier.
- A total of 32 SLN formulations were created using a central composite design, and methods like response surface methodology (RSM) and artificial neural networks (ANN) were employed to predict their properties based on various factors.
- The optimized SLN had an average particle size of 159.8 nm and an entrapment efficiency of 74.3%. The ANN model was found to be more accurate than RSM, indicating its effectiveness in optimizing pharmaceutical formulations.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!