| Chapter title |
In Vitro Models for the Study of the Intracellular Activity of Antibiotics
|
|---|---|
| Chapter number | 13 |
| Book title |
Bacterial Persistence
|
| Published in |
Methods in molecular biology, January 2016
|
| DOI | 10.1007/978-1-4939-2854-5_13 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-2853-8, 978-1-4939-2854-5
|
| Authors |
Julien M. Buyck, Sandrine Lemaire, Cristina Seral, Ahalieyah Anantharajah, Frédéric Peyrusson, Paul M. Tulkens, Françoise Van Bambeke, Buyck, Julien M., Lemaire, Sandrine, Seral, Cristina, Anantharajah, Ahalieyah, Peyrusson, Frédéric, Tulkens, Paul M., Bambeke, Françoise Van |
| Abstract |
Intracellular bacteria are poorly responsive to antibiotic treatment. Pharmacological studies are thus needed to determine which antibiotics are most potent or effective against intracellular bacteria as well as to explore the reasons for poor bacterial responsiveness. An in vitro pharmacodynamic model is described, consisting of (1) phagocytosis of pre-opsonized bacteria by eukaryotic cells; (2) elimination of non-internalized bacteria with gentamicin; (3) incubation of infected cells with antibiotics; and (4) determination of surviving bacteria by viable cell counting and normalization of the counts based on sample protein content. |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 6% |
| Unknown | 17 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 3 | 17% |
| Researcher | 3 | 17% |
| Student > Ph. D. Student | 3 | 17% |
| Professor | 2 | 11% |
| Professor > Associate Professor | 2 | 11% |
| Other | 3 | 17% |
| Unknown | 2 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 17% |
| Agricultural and Biological Sciences | 3 | 17% |
| Immunology and Microbiology | 3 | 17% |
| Medicine and Dentistry | 2 | 11% |
| Biochemistry, Genetics and Molecular Biology | 1 | 6% |
| Other | 3 | 17% |
| Unknown | 3 | 17% |