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Barani M, Sargazi S, Hajinezhad MR, Rahdar A, Sabir F, Pardakhty A, Zargari F, Anwer MK, Aboudzadeh MA. Preparation of pH-Responsive Vesicular Deferasirox: Evidence from In Silico, In Vitro, and In Vivo Evaluations. ACS OMEGA 2021; 6:24218-24232. [PMID: 34568700 PMCID: PMC8459436 DOI: 10.1021/acsomega.1c03816] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/18/2021] [Indexed: 06/13/2023]
Abstract
pH-sensitive nanocarriers can effectively deliver anticancer drugs to tumors and reduce the adverse effects of conventional chemotherapy. In this light, we prepared a novel pH-responsive deferasirox (DFX)-loaded vesicle and comprehensively performed in silico, in vitro, and in vivo studies to examine the properties of the newly synthesized formulation. Physiochemical assessment of the developed formulations showed that they have an average size (107 ± 2 nm), negative zeta potential (-29.1 ± 1.5 mV), high encapsulation efficiency (84.2 ± 2.6%), and a pH-responsive release. Using the molecular dynamics simulation, the structural and dynamic properties of ergosterol-containing niosomes (ST60/Ergo) in the presence of DFX molecules were analyzed and showed a good interaction between DFX and vesicle components. Cytotoxic assessment showed that niosomal DFX exhibited a greater cytotoxic effect than free DFX in both human cancer cells (MCF-breast cancer and Hela cervical cancer) and induced evident morphological features of apoptotic cell death. No marked difference between the ability of free and niosomal DFX was found in activating caspase-3 in Hela cells. Eight weeks of intraperitoneal administrations of free DFX at three doses caused a significant increase in serum biochemical parameters and liver lipid peroxidation. Treatment with 5 mg/kg dose of niosomal DFX caused a significant increase in serum creatinine (P < 0.05); however, other parameters remained unchanged. On the other hand, administration of niosomal DFX at the highest dose (10 mg/kg) significantly increased serum creatinine (P < 0.05), BUN, and serum liver enzymes compared to the control rats (P < 0.001). Based on the results, the application of pH-responsive DFX-loaded niosomes, as a novel drug delivery platform, may yield promising results in cancer treatment.
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Affiliation(s)
- Mahmood Barani
- Medical
Mycology and Bacteriology Research Center, Kerman University of Medical Sciences, Kerman 7616913555, Iran
| | - Saman Sargazi
- Cellular
and Molecular Research Center, Resistant Tuberculosis Institute, Zahedan University of Medical Sciences, Zahedan 9816743463, Iran
| | - Mohammad Reza Hajinezhad
- Basic
Veterinary Science Department, Veterinary Faculty, University of Zabol, Zabol 9861335856, Iran
| | - Abbas Rahdar
- Department
of Physics, University of Zabol, Zabol 9861335856, Iran
| | - Fakhara Sabir
- Faculty
of Pharmacy, Institute of Pharmaceutical Technology and Regulatory
Affairs, University of Szeged, Eötvös u. 6, Szeged H-6720, Hungary
| | - Abbas Pardakhty
- Pharmaceutics
Research Center, Nauropharmacology Research Institute, Kerman University of Medical Sciences, Kerman 7616913555, Iran
| | - Farshid Zargari
- Pharmacology
Research Center, Zahedan University of Medical
Sciences, Zahedan 9816743463, Iran
- Department
of Chemistry, Faculty of Science, University
of Sistan and Baluchestan, Zahedan 98135674, Iran
| | - Md. Khalid Anwer
- Department
of Pharmaceutics, College of Pharmacy, Prince
Sattam Bin Abdulaziz University, Alkharj 11942, Saudi Arabia
| | - M. Ali Aboudzadeh
- CNRS, University Pau & Pays Adour,
E2S UPPA, Institut des Sciences
Analytiques et de Physico-Chimie pour l’Environnement et les
Matériaux, IPREM, UMR5254, 64000 Pau, France
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Gao Y, Glennon B, He Y, Donnellan P. Dissolution Kinetics of a BCS Class II Active Pharmaceutical Ingredient: Diffusion-Based Model Validation and Prediction. ACS OMEGA 2021; 6:8056-8067. [PMID: 33817465 PMCID: PMC8014923 DOI: 10.1021/acsomega.0c05558] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/14/2020] [Accepted: 02/05/2021] [Indexed: 05/28/2023]
Abstract
In this work, a diffusion-theory-based model has been devised to simulate dissolution kinetics of a poorly water-soluble drug, ibuprofen. The model was developed from the Noyes-Whitney equation in which the dissolution rate term is a function of the remaining particulate surface area and the concentration gradient across the boundary layer. Other dissolution parameters include initial particle size, diffusion coefficient, material density, and diffusion boundary layer thickness. It is useful for predicting nonsink circumstances under which pure API polydisperse powders are suspended in a well-mixing tank. The model was used to compare the accuracy of simulations using spherical (single dimensional characteristic length) and cylindrical particle (multidimensional characteristic lengths) geometries, with and without size-dependent diffusion layer thickness. Experimental data was fitted to the model to obtain the diffusion layer thickness as well as used for model validation and prediction. The CSDs of postdissolution were also predicted with this model, demonstrating good agreement between theory and experiment.
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Affiliation(s)
- Yuan Gao
- Synthesis
and Solid State Pharmaceutical Centre (SSPC), School of Chemical and
Bioprocess Engineering, University College
Dublin, Belfield, Dublin 4, Ireland
| | - Brian Glennon
- Synthesis
and Solid State Pharmaceutical Centre (SSPC), School of Chemical and
Bioprocess Engineering, University College
Dublin, Belfield, Dublin 4, Ireland
- APC
Ltd, Building 11 Cherrywood
Business Park, Loughlinstown, Dublin 18, Ireland
| | - Yunliang He
- Synthesis
and Solid State Pharmaceutical Centre (SSPC), School of Chemical and
Bioprocess Engineering, University College
Dublin, Belfield, Dublin 4, Ireland
| | - Philip Donnellan
- Synthesis
and Solid State Pharmaceutical Centre (SSPC), School of Chemical and
Bioprocess Engineering, University College
Dublin, Belfield, Dublin 4, Ireland
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Acoustic cavitation assisted hot melt mixing technique for solid lipid nanoparticles formulation, characterization, and controlled delivery of poorly water soluble drugs. J Drug Deliv Sci Technol 2019. [DOI: 10.1016/j.jddst.2019.101277] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
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