| Chapter title |
Using Galleria mellonella as an Infection Model for Campylobacter jejuni Pathogenesis.
|
|---|---|
| Chapter number | 14 |
| Book title |
Campylobacter jejuni
|
| Published in |
Methods in molecular biology, January 2017
|
| DOI | 10.1007/978-1-4939-6536-6_14 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-6534-2, 978-1-4939-6536-6
|
| Authors |
Momen Askoura, Alain Stintzi |
| Editors |
James Butcher, Alain Stintzi |
| Abstract |
Nonmammalian model systems of infection have been employed recently to study bacterial virulence. For instance, Galleria mellonella (the greater wax moth) has been shown to be susceptible to infection by many bacterial pathogens including the enteric pathogen Campylobacter jejuni. In contrast to the traditional animal models for C. jejuni such as the chick colonization model and ferret diarrheal model, the Galleria mellonella infection model has the advantages of lower cost, ease of use and no animal breeding is required. However, injecting the larvae with bacteria requires care to avoid killing of larvae, which could lead to misleading results. Here, we describe the infection of G. mellonella larvae by C. jejuni and how to record/interpret results. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 25 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 20% |
| Student > Bachelor | 3 | 12% |
| Student > Ph. D. Student | 3 | 12% |
| Student > Doctoral Student | 2 | 8% |
| Professor > Associate Professor | 2 | 8% |
| Other | 3 | 12% |
| Unknown | 7 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 4 | 16% |
| Agricultural and Biological Sciences | 4 | 16% |
| Veterinary Science and Veterinary Medicine | 3 | 12% |
| Medicine and Dentistry | 3 | 12% |
| Immunology and Microbiology | 3 | 12% |
| Other | 1 | 4% |
| Unknown | 7 | 28% |