Effect of chest physiotherapy on cystic fibrosis sputum nanostructure: an experimental and theoretical approach.
Michela AbramiMassimo MaschioMassimo ConeseMarco ConfalonieriFrancesco SaltonFabio GerinBarbara DapasRossella FarraAlessandra AdroverGesmi MilcovichClaudia FornasierAlice BiasinMario GrassiGabriele GrassiPublished in: Drug delivery and translational research (2022)
Cystic fibrosis (CF) is a disease characterized by the production of viscous mucoid secretions in multiple organs, particularly the airways. The pathological increase of proteins, mucin and biological polymers determines their arrangement into a three-dimensional polymeric network, affecting the whole mucus and impairing the muco-ciliary clearance which promotes inflammation and bacterial infection. Thus, to improve the efficacy of the drugs usually applied in CF therapy (e.g., mucolytics, anti-inflammatory and antibiotics), an in-depth understanding of the mucus nanostructure is of utmost importance. Drug diffusivity inside a gel-like system depends on the ratio between the diffusing drug molecule radius and the mesh size of the network. Based on our previous findings, we propose the combined use of rheology and low field NMR to study the mesh size distribution of the sputum from CF patients. Specifically, we herein explore the effects of chest physiotherapy on CF sputum characteristic as evaluated by rheology, low field NMR and the drug penetration through the mucus via mathematical simulation. These data show that chest physiotherapy has beneficial effects on patients, as it favourably modifies sputum and enhances drug penetration through the respiratory mucus.
Keyphrases
- cystic fibrosis
- pseudomonas aeruginosa
- lung function
- end stage renal disease
- ejection fraction
- newly diagnosed
- chronic kidney disease
- peritoneal dialysis
- magnetic resonance
- prognostic factors
- stem cells
- adverse drug
- mesenchymal stem cells
- drug delivery
- machine learning
- drug induced
- optical coherence tomography
- big data
- mass spectrometry
- air pollution
- artificial intelligence
- smoking cessation
- cancer therapy