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1.
Mol Pharm ; 20(6): 2781-2800, 2023 06 05.
Artículo en Inglés | MEDLINE | ID: mdl-37194978

RESUMEN

Lipid-based formulation (LBF) is an effective approach for delivering hydrophobic drugs into the systemic circulation by oral administration. However, much of the physical detail regarding the colloidal behavior of LBFs and their interactions with the contents of the gastrointestinal (GI) environment is not well characterized. Recently, researchers have started to use molecular dynamics (MD) simulations to investigate the colloidal behavior of LBF systems and their interactions with bile and other materials present in the GI tract. MD is a computational method, based on classical mechanics, that simulates the physical movements of atoms and provides atomic-scale information that cannot easily be retrieved using experimental investigations. MD can provide insight into assist the development of drug formulations in a cost and time-effective manner. This review summarizes the application of MD simulation to the study of bile, bile salts, and LBFs and their behavior within the GI environment and also discusses MD simulations of lipid-based mRNA vaccine formulations.


Asunto(s)
Ácidos y Sales Biliares , Bilis , Bilis/química , Simulación de Dinámica Molecular , Composición de Medicamentos , Liposomas , Lípidos/química , Solubilidad
2.
Mol Pharm ; 18(12): 4354-4370, 2021 12 06.
Artículo en Inglés | MEDLINE | ID: mdl-34807627

RESUMEN

Type III lipid-based formulations (LBFs) combine poorly water-soluble drugs with oils, surfactants, and cosolvents to deliver the drugs into the systemic circulation. However, the solubility of the drug can be influenced by the colloidal phases formed in the gastrointestinal tract as the formulation is dispersed and makes contact with bile and other materials present within the GI tract. Thus, an understanding of the phase behavior of LBFs in the gut is critical for designing efficient LBFs. Molecular dynamics (MD) simulation is a powerful tool for the study of colloidal systems. In this study, we modeled the internal structures of five type III LBFs of loratadine containing poly(ethylene oxide) nonionic surfactants polysorbate 80 and polyoxyl hydrogenated castor oil (Kolliphor RH40) using long-timescale MD simulations (0.4-1.7 µs). We also conducted experimental investigations (dilution of formulations with water) including commercial Claritin liquid softgel capsules. The simulations show that LBFs form continuous phase, water-swollen reverse micelles, and bicontinuous and phase-separated systems at different dilutions, which correlate with the experimental observations. This study supports the use of MD simulation as a predictive tool to determine the fate of LBFs composed of medium-chain lipids, polyethylene oxide surfactants, and polymers.


Asunto(s)
Lípidos/química , Loratadina/química , Tensoactivos/química , Composición de Medicamentos , Excipientes/química , Simulación de Dinámica Molecular , Polisorbatos/química , Agua/química
3.
J Colloid Interface Sci ; 588: 257-268, 2021 Apr 15.
Artículo en Inglés | MEDLINE | ID: mdl-33388586

RESUMEN

HYPOTHESIS: Non-ionic surfactants containing polyethylene oxide (PEO) chains are widely used in drug formulations, cosmetics, paints, textiles and detergents. High quality molecular dynamics models for PEO surfactants can give us detailed, atomic-scale information about the behavior of surfactant/water mixtures. SIMULATIONS: We used two molecular dynamics force fields (FFs), 2016H66 and 53A6DBW, to model the simple non-ionic PEO surfactant, hexaoxyethylene dodecyl ether (C12E6). We investigated surfactant/water mixtures that span the phase diagram of starting from randomly distributed arrangements. In some cases, we also started with prebuilt, approximate models. The simulations results were compared with the experimentally observed phase behavior. FINDINGS: Overall, this study shows that the spontaneous self-assembly of PEO non-ionic surfactants into different colloidal structures can be accurately modeled with MD simulations using the 2016H66 FF although transitions to well-formed hexagonal phase are slow. Of the two FFs investigated, the 2016H66 FF better reproduces the experimental phase behavior across all regions of the C12E6/water phase diagram.

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