Effect of nebulised BromAc(R) on rheology of artificial sputum: relevance to muco-obstructive respiratory diseases including COVID-19
Pillai, K.; Mekkawy, A. H.; Valle, S.; Akhter, J.; Morris, D. L.
Show abstract
Respiratory diseases such as cystic fibrosis, COPD, bronchiectasis asthma and COVID-19 are difficult to treat owing to viscous secretions in the airways that evade mucocilliary clearance. Since earlier studies have shown success with BromAc(R) as mucolytic agent for treating a rare disease known as pseudomyxoma peritonei (PMP), we tested the formulation on two gelatinous airway representative sputa models, in order to determine whether similar efficacy exist. The sputum (1.5 ml) lodged in an endotracheal tube was treated to aerosolised N-acetylcysteine, bromelain, or their combination (BromAc(R)) using a nebuliser with 6.0 ml of the agents in phosphate buffer saline, over 25 min. Controls received phosphate buffer saline. The dynamic viscosity was measured before and after treatment using a capillary tube method, whilst the sputum flow (ml/sec) was assessed using a 0.5 ml pipette. Finally, the sequestered agents (concentration) in the sputa after treatment were quantified using standard bromelain and N-acetylcysteine chromogenic assays. Results indicated that bromelain and N-acetylcysteine affected both the dynamic viscosities and pipette flow in the two sputa models, with changes in the former parameter having immense effect on the latter. BromAc(R) showed a greater rheological effect on both the sputa models compared to individual agents. Further, correlation was found between the rheological effects and the concentration of agents in the sputa. Hence, this study indicates that BromAc(R) may be used as a successful mucolytic for clearing airway congestion caused by thick mucinous immobile secretion, however further studies with patient sputum samples using aerosol BromAc(R) is warranted.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- The new silicone N99 half-piece respirator, VJR-NMU N99: A novel and effective tool to prevent COVID-19 95%
- Oral feeding with probiotic Lactobacillus rhamnosus attenuates cigarette smoke-induced COPD in C57Bl/6 mice: Relevance to inflammatory markers in human bronchial epithelial cells 95%
- E-cigarette aerosol exposure of pulmonary surfactant impairs its surface tension reducing function 94%
Similar papers in this journal
- Expanding Clinical Phage Microbiology:Simulating Phage Inhalation for Respiratory Tract Infections 94%
- Development and validation of an open-source, disposable, 3D-printed in vitro environmental exposure system for Transwell culture inserts 92%
- Open-source 3D printed manifolds for exposure studies using human airway epithelial cells 91%
Similar papers in this journal
- Detailed Analysis of Surface Infection Barrier on Hands: Relationship with Morbidity to Infection Diseases and Identification of Antimicrobial Components 93%
- Development and Clinical Validation of Swaasa AI Platform for screening and prioritization of Pulmonary TB 92%
- Effect of caffeine and other xanthines on liver sinusoidal endothelial cell ultrastructure 92%
Similar papers in this journal
- In Vitro Nasal Tissue Model for the Validation of Nasopharyngeal and Mid-turbinate Swabs for SARS-CoV-2 Testing 93%
- Cyclodextrin Derivative Enhances The Ophthalmic Delivery Of Poorly Soluble Azithromycin. 93%
- The effect of COVID-19 mRNA vaccine on human lung carcinoma cells in vitro by means of Raman spectroscopy and imaging. 91%
Similar papers in this journal
- A quantitative evaluation of aerosol generation from upper airway suctioning during tracheal intubation and extubation sequences 94%
- Comparison of the in vitro-efficacy of different mouthwash solutions targeting SARS-CoV-2 based on the European Standard EN 14476 94%
- Effectiveness of portable air filtration on reducing indoor aerosol counts: preclinical observational trials 91%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.