Title |
Targeting virulence: can we make evolution-proof drugs?
|
---|---|
Published in |
Nature Reviews Microbiology, March 2014
|
DOI | 10.1038/nrmicro3232 |
Pubmed ID | |
Authors |
Richard C. Allen, Roman Popat, Stephen P. Diggle, Sam P. Brown |
Abstract |
Antivirulence drugs are a new type of therapeutic drug that target virulence factors, potentially revitalising the drug-development pipeline with new targets. As antivirulence drugs disarm the pathogen, rather than kill or halt pathogen growth, it has been hypothesized that they will generate much weaker selection for resistance than traditional antibiotics. However, recent studies have shown that mechanisms of resistance to antivirulence drugs exist, seemingly damaging the 'evolution-proof' claim. In this Opinion article, we highlight a crucial distinction between whether resistance can emerge and whether it will spread to a high frequency under drug selection. We argue that selection for resistance can be reduced, or even reversed, using appropriate combinations of target and treatment environment, opening a path towards the development of evolutionarily robust novel therapeutics. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 10 | 45% |
United States | 2 | 9% |
Panama | 1 | 5% |
Switzerland | 1 | 5% |
Canada | 1 | 5% |
Ireland | 1 | 5% |
Spain | 1 | 5% |
Unknown | 5 | 23% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 11 | 50% |
Members of the public | 10 | 45% |
Science communicators (journalists, bloggers, editors) | 1 | 5% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 9 | 1% |
United Kingdom | 6 | <1% |
Brazil | 4 | <1% |
Germany | 2 | <1% |
Switzerland | 1 | <1% |
Chile | 1 | <1% |
Netherlands | 1 | <1% |
Australia | 1 | <1% |
Sweden | 1 | <1% |
Other | 9 | 1% |
Unknown | 759 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 162 | 20% |
Student > Bachelor | 147 | 19% |
Researcher | 113 | 14% |
Student > Master | 99 | 12% |
Student > Doctoral Student | 41 | 5% |
Other | 108 | 14% |
Unknown | 124 | 16% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 263 | 33% |
Biochemistry, Genetics and Molecular Biology | 167 | 21% |
Immunology and Microbiology | 76 | 10% |
Chemistry | 45 | 6% |
Medicine and Dentistry | 26 | 3% |
Other | 77 | 10% |
Unknown | 140 | 18% |