| Chapter title |
Clostridium difficile
|
|---|---|
| Chapter number | 17 |
| Book title |
Clostridium difficile
|
| Published in |
Methods in molecular biology, January 2016
|
| DOI | 10.1007/978-1-4939-6361-4_17 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-6359-1, 978-1-4939-6361-4
|
| Authors |
Crowther, Grace S, Wilcox, Mark H, Chilton, Caroline H, Grace S. Crowther, Mark H. Wilcox, Caroline H. Chilton |
| Editors |
Adam P. Roberts, Peter Mullany |
| Abstract |
The in vitro gut model is an invaluable research tool to study indigenous gut microbiota communities, the behavior of pathogenic organisms, and the therapeutic and adverse effect of antimicrobial administration on these communities. The model has been validated against the intestinal contents of sudden death victims to reflect the physicochemical and microbiological conditions of the proximal to distal colon, and has been extensively used to investigate the interplay between gut microbiota populations, antibiotic exposure, and Clostridium difficile infection. More recently the gut model has been adapted to additionally model intestinal biofilm. Here we describe the structure, assembly, and application of the biofilm gut model. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 50% |
| Practitioners (doctors, other healthcare professionals) | 1 | 25% |
| Members of the public | 1 | 25% |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 34 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 21% |
| Researcher | 4 | 12% |
| Professor > Associate Professor | 3 | 9% |
| Student > Master | 3 | 9% |
| Student > Doctoral Student | 1 | 3% |
| Other | 4 | 12% |
| Unknown | 12 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 8 | 24% |
| Biochemistry, Genetics and Molecular Biology | 4 | 12% |
| Immunology and Microbiology | 2 | 6% |
| Medicine and Dentistry | 2 | 6% |
| Business, Management and Accounting | 1 | 3% |
| Other | 5 | 15% |
| Unknown | 12 | 35% |