| Title |
A Biocompatible Synthetic Lung Fluid Based on Human Respiratory Tract Lining Fluid Composition
|
|---|---|
| Published in |
Pharmaceutical Research, May 2017
|
| DOI | 10.1007/s11095-017-2169-4 |
| Pubmed ID | |
| Authors |
Abhinav Kumar, Wachirun Terakosolphan, Mireille Hassoun, Kalliopi-Kelli Vandera, Astrid Novicky, Richard Harvey, Paul G. Royall, Elif Melis Bicer, Jonny Eriksson, Katarina Edwards, Dirk Valkenborg, Inge Nelissen, Dave Hassall, Ian S. Mudway, Ben Forbes |
| Abstract |
To characterise a biorelevant simulated lung fluid (SLF) based on the composition of human respiratory tract lining fluid. SLF was compared to other media which have been utilized as lung fluid simulants in terms of fluid structure, biocompatibility and performance in inhalation biopharmaceutical assays. The structure of SLF was investigated using cryo-transmission electron microscopy, photon correlation spectroscopy and Langmuir isotherms. Biocompatibility with A549 alveolar epithelial cells was determined by MTT assay, morphometric observations and transcriptomic analysis. Biopharmaceutical applicability was evaluated by measuring the solubility and dissolution of beclomethasone dipropionate (BDP) and fluticasone propionate (FP), in SLF. SLF exhibited a colloidal structure, possessing vesicles similar in nature to those found in lung fluid extracts. No adverse effect on A549 cells was apparent after exposure to the SLF for 24 h, although some metabolic changes were identified consistent with the change of culture medium to a more lung-like composition. The solubility and dissolution of BDP and FP in SLF were enhanced compared to Gamble's solution. The SLF reported herein constitutes a biorelevant synthetic simulant which is suitable to study biopharmaceutical properties of inhalation medicines such as those being proposed for an inhaled biopharmaceutics classification system. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Thailand | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 120 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 120 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 30 | 25% |
| Researcher | 27 | 23% |
| Student > Master | 18 | 15% |
| Professor | 6 | 5% |
| Student > Bachelor | 6 | 5% |
| Other | 13 | 11% |
| Unknown | 20 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Pharmacology, Toxicology and Pharmaceutical Science | 30 | 25% |
| Chemistry | 12 | 10% |
| Engineering | 9 | 8% |
| Biochemistry, Genetics and Molecular Biology | 8 | 7% |
| Agricultural and Biological Sciences | 6 | 5% |
| Other | 25 | 21% |
| Unknown | 30 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 06 June 2017.
All research outputs
#15,464,404
of 22,979,862 outputs
Outputs from Pharmaceutical Research
#2,244
of 2,868 outputs
Outputs of similar age
#198,644
of 316,105 outputs
Outputs of similar age from Pharmaceutical Research
#13
of 30 outputs
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