| Title |
Determination of the spatiotemporal dependence of Pseudomonas aeruginosa biofilm viability after treatment with NLC-colistin
|
|---|---|
| Published in |
International Journal of Nanomedicine, June 2017
|
| DOI | 10.2147/ijn.s138763 |
| Pubmed ID | |
| Authors |
Eulalia Sans-Serramitjana, Marta Jorba, José Luis Pedraz, Teresa Vinuesa, Miguel Viñas |
| Abstract |
The emergence of colistin-resistant Pseudomonas aeruginosa in cystic fibrosis (CF) patients, particularly after long-term inhalation treatments, has been recently reported. Nanoen-capsulation may enable preparations to overcome the limitations of conventional pharmaceutical forms. We have determined the time-dependent viability of P. aeruginosa biofilms treated with both free and nanoencapsulated colistin. We also examined the relationship between the optimal anti-biofilm activity of nanostructured lipid carrier (NLC)-colistin and the structural organization of the biofilm itself. The results showed the more rapid killing of P. aeruginosa bacterial biofilms by NLC-colistin than by free colistin. However, the two formulations did not differ in terms of the final percentages of living and dead cells, which were higher in the inner than in the outer layers of the treated biofilms. The effective anti-biofilm activity of NLC-colistin and its faster killing effect recommend further studies of its use over free colistin in the treatment of P. aeruginosa infections in CF patients. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 40 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 15% |
| Researcher | 5 | 13% |
| Student > Bachelor | 5 | 13% |
| Student > Master | 5 | 13% |
| Other | 3 | 8% |
| Other | 9 | 23% |
| Unknown | 7 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Pharmacology, Toxicology and Pharmaceutical Science | 7 | 18% |
| Medicine and Dentistry | 6 | 15% |
| Agricultural and Biological Sciences | 5 | 13% |
| Biochemistry, Genetics and Molecular Biology | 3 | 8% |
| Immunology and Microbiology | 3 | 8% |
| Other | 6 | 15% |
| Unknown | 10 | 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 28 June 2017.
All research outputs
#19,951,180
of 25,382,440 outputs
Outputs from International Journal of Nanomedicine
#2,971
of 4,122 outputs
Outputs of similar age
#239,358
of 330,503 outputs
Outputs of similar age from International Journal of Nanomedicine
#47
of 81 outputs
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