Abstract

Diseases in the respiratory tract rank among the leading causes of death in the world, and thus novel and optimized treatments are needed. The lungs offer a large surface for drug absorption, and the inhalation of aerosolized drugs are a well-established therapeutic modality for local treatment of lung conditions. Nanoparticle-based drug delivery platforms are gaining importance for use through the pulmonary route. By using porous carrier matrices, higher doses of especially poorly soluble drugs can be administered locally, reducing their side effects and improving their biodistribution. In this study, the feasibility of mesoporous silica particles (MSPs) as carriers for anti-inflammatory drugs in the treatment of airway inflammation was investigated. Two different sizes of particles on the micron and nanoscale (1 µm and 200 nm) were produced, and were loaded with dexamethasone (DEX) to a loading degree of 1:1 DEX:MSP. These particles were further surface-functionalized with a polyethylene glycol–polyethylene imine (PEG–PEI) copolymer for optimal aqueous dispersibility. The drug-loaded particles were administered as an aerosol, through inhalation to two different mice models of neutrophil-induced (by melphalan or lipopolysaccharide) airway inflammation. The mice received treatment with either DEX-loaded MSPs or, as controls, empty MSPs or DEX only; and were evaluated for treatment effects 24 h after exposure. The results show that the MEL-induced airway inflammation could be treated by the DEX-loaded MSPs to the same extent as free DEX. Interestingly, in the case of LPS-induced inflammation, even the empty MSPs significantly down-modulated the inflammatory response. This study highlights the potential of MSPs as drug carriers for the treatment of diseases in the airways.

Highlights

  • The respiratory tract is an attractive route for non-invasive drug delivery for the local treatment of lung diseases, such as asthma and cystic fibrosis

  • Mice were evaluated for treatment effects 24 h after exposure; whereby the inflammatory cells and pro-inflammatory mediators (keratinocyte chemoattractant (KC), Matrix metalloproteinase-9 (MMP-9), and Mouse Myeloperoxidase (MPO)) were analyzed in bronchoalveolar lavage fluid (BALF)

  • For the synthesis of L-mesoporous silica particles (MSPs), 11.6 mL tetraethyl orthosilicate (TEOS) was added to the solution as a silica source, while a mixture of 11 mL TEOS and 0.6 mL aminopropyl triethoxysilane (APTES) was added to the synthesis solution of S-MSP to reduce the resulting particle size. Both of the synthesis solutions were left for overnight reaction under stirring, whereafter the particles were separated by centrifugation (3360 g), and the surfactant template was removed by extraction two times for 1 h in slightly acidic ethanol (0.1 M)

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Summary

Introduction

The respiratory tract is an attractive route for non-invasive drug delivery for the local treatment of lung diseases, such as asthma and cystic fibrosis. The possibility/feasibility of using mesoporous silica particles (MSPs) as carriers for anti-inflammatory drugs in the treatment of airway inflammation was investigated. Corticosteroids, such as dexamethasone (DEX), used in this study, are well-known to decrease the number of inflammatory cells in the airways, and to improve the respiratory function. By being able to load particles with DEX in order to improve airway distribution and to enable local treatment, side effects may be reduced, and it may be possible to use higher doses locally in the lung. Mice were evaluated for treatment effects 24 h after exposure; whereby the inflammatory cells and pro-inflammatory mediators (keratinocyte chemoattractant (KC), Matrix metalloproteinase-9 (MMP-9), and Mouse Myeloperoxidase (MPO)) were analyzed in bronchoalveolar lavage fluid (BALF)

Materials and Methods
Loading of Drug to the Particles
Copolymer-Adsorption on the Particles
Determination of the Loaded DEX Amount
Animal Models
Treatment
Statistical Analysis of the Animal Data
Results and Discussion
Global Health Estimates 2016
Full Text
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