| Chapter title |
Animal Models of Implant-Related Low-Grade Infections. A Twenty-Year Review
|
|---|---|
| Chapter number | 157 |
| Book title |
A Modern Approach to Biofilm-Related Orthopaedic Implant Infections
|
| Published in |
Advances in experimental medicine and biology, January 2016
|
| DOI | 10.1007/5584_2016_157 |
| Pubmed ID | |
| Book ISBNs |
978-3-31-952273-9, 978-3-31-952274-6
|
| Authors |
Arianna Barbara Lovati, Marta Bottagisio, Elena de Vecchi, Enrico Gallazzi, Lorenzo Drago, Lovati, Arianna Barbara, Bottagisio, Marta, de Vecchi, Elena, Gallazzi, Enrico, Drago, Lorenzo |
| Abstract |
The demand for joint replacement and surgical treatment is continuously increasing, thus representing a clinical burden and a cost for the healthcare system. Among several pathogens involved in implant-related infections, staphylococci account for the two-thirds of clinically isolated bacteria. Despite most of them are highly virulent microorganisms (Staphylococcus aureus, Escherichia coli, Pseudomonas aeruginosa), low virulent bacteria (Staphylococcus epidermidis, Propionibacterium acnes) are responsible for delayed, low-grade infections without specific clinical signs and hardly distinguishable from aseptic prosthetic failure. Therefore, there is a real need to study the pathogenesis of orthopedic infections through in vivo animal models. The present review of the literature provides a 20-year overview of animal models of acute, subclinical or chronic orthopedic infections according to the pathogen virulence and inocula. Through this analysis, a great variety of conditions in terms of bacterial strains and inocula emerged, thus encouraging the development of more reproducible in vivo studies to provide relevant information for a translational approach to humans. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 50 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 16% |
| Student > Ph. D. Student | 7 | 14% |
| Student > Master | 7 | 14% |
| Student > Doctoral Student | 4 | 8% |
| Lecturer | 3 | 6% |
| Other | 8 | 16% |
| Unknown | 13 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 20 | 40% |
| Engineering | 5 | 10% |
| Immunology and Microbiology | 4 | 8% |
| Veterinary Science and Veterinary Medicine | 3 | 6% |
| Agricultural and Biological Sciences | 2 | 4% |
| Other | 3 | 6% |
| Unknown | 13 | 26% |