| Chapter title |
Reproducibility Issues: Avoiding Pitfalls in Animal Inflammation Models
|
|---|---|
| Chapter number | 1 |
| Book title |
Inflammation
|
| Published in |
Methods in molecular biology, January 2017
|
| DOI | 10.1007/978-1-4939-6786-5_1 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-6784-1, 978-1-4939-6786-5
|
| Authors |
Jon D. Laman Ph.D., Susanne M. Kooistra Ph.D., Björn E. Clausen Ph.D., Laman, Jon D., Kooistra, Susanne M., Clausen, Björn E., Jon D. Laman, Susanne M. Kooistra, Björn E. Clausen |
| Editors |
Björn E. Clausen, Jon D. Laman |
| Abstract |
In light of an enhanced awareness of ethical questions and ever increasing costs when working with animals in biomedical research, there is a dedicated and sometimes fierce debate concerning the (lack of) reproducibility of animal models and their relevance for human inflammatory diseases. Despite evident advancements in searching for alternatives, that is, replacing, reducing, and refining animal experiments-the three R's of Russel and Burch (1959)-understanding the complex interactions of the cells of the immune system, the nervous system and the affected tissue/organ during inflammation critically relies on in vivo models. Consequently, scientific advancement and ultimately novel therapeutic interventions depend on improving the reproducibility of animal inflammation models. As a prelude to the remaining hands-on protocols described in this volume, here, we summarize potential pitfalls of preclinical animal research and provide resources and background reading on how to avoid them. |
X Demographics
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| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 22 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor | 3 | 14% |
| Other | 3 | 14% |
| Librarian | 2 | 9% |
| Student > Ph. D. Student | 2 | 9% |
| Student > Postgraduate | 2 | 9% |
| Other | 4 | 18% |
| Unknown | 6 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
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| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 9% |
| Medicine and Dentistry | 2 | 9% |
| Neuroscience | 2 | 9% |
| Computer Science | 2 | 9% |
| Other | 3 | 14% |
| Unknown | 9 | 41% |