Limiting Damage during Infection: Lessons from Infection Tolerance for Novel Therapeutics
QH301-705.5
Essay
Virulence Factors
Bacterial Toxins
Colony Count, Microbial
Ibuprofen
Bacterial Adhesion
03 medical and health sciences
Immune Tolerance
Humans
Biology (General)
0303 health sciences
Models, Statistical
Aspirin
Virulence
Anti-Inflammatory Agents, Non-Steroidal
Quorum Sensing
Bacterial Infections
Drugs, Investigational
Viral Load
Biological Evolution
3. Good health
Virus Diseases
Host-Pathogen Interactions
DOI:
10.1371/journal.pbio.1001769
Publication Date:
2014-01-21T21:25:47Z
AUTHORS (3)
ABSTRACT
The distinction between pathogen elimination and damage limitation during infection is beginning to change perspectives on infectious disease control, and has recently led to the development of novel therapies that focus on reducing the illness caused by pathogens (‘‘damage limitation’’)rather than reducing pathogen burdens directly (‘‘pathogen elimination’’). While beneficial at the individual host level, the population consequences of these interventions remain unclear. To address this issue,we present a simple conceptual framework for damage limitation during infection that distinguishes between therapies that are either host-centric (pro-tolerance) or pathogen-centric (anti-virulence). We then draw on recent developments from the evolutionary ecology of disease tolerance to highlight some potential epidemiological and evolutionary responses of pathogens to medical interventions that target the symptoms of infection. Just as pathogens are known to evolve in response to antimicrobial and vaccination therapies, we caution that claims of ‘‘evolution-proof’’ anti-virulence interventions may be premature, and further, that in infections where virulence and transmission are linked, reducing illness without reducing pathogen burden could have non-trivial epidemiological and evolutionary consequences that require careful examination.
SUPPLEMENTAL MATERIAL
Coming soon ....
REFERENCES (72)
CITATIONS (93)
EXTERNAL LINKS
PlumX Metrics
RECOMMENDATIONS
FAIR ASSESSMENT
Coming soon ....
JUPYTER LAB
Coming soon ....