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The antimicrobial resistance crisis: management through gene monitoring
- Source :
- Open Biology, Open Biology, Vol 6, Iss 11 (2016)
- Publication Year :
- 2023
- Publisher :
- La Trobe, 2023.
-
Abstract
- © 2016 The Authors. Antimicrobial resistance (AMR) is an acknowledged crisis for humanity. Its genetic origins and dire potential outcomes are increasingly well understood. However, diagnostic techniques for monitoring the crisis are currently largely limited to enumerating the increasing incidence of resistant pathogens. Being the end-stage of the evolutionary process that produces antimicrobial resistant pathogens, these measurements, while diagnostic, are not prognostic, and so are not optimal in managing this crisis. A better test is required. Here, using insights from an understanding of evolutionary processes ruling the changing abundance of genes under selective pressure, we suggest a predictive framework for the AMR crisis. We then discuss the likely progression of resistance for both existing and prospective antimicrobial therapies. Finally, we suggest that by the environmental monitoring of resistance gene frequency, resistance may be detected and tracked presumptively, and how this tool may be used to guide decision-making in the local and global use of antimicrobials.
- Subjects :
- 0301 basic medicine
medicine.medical_specialty
Immunology
Crisis management
Biology
General Biochemistry, Genetics and Molecular Biology
Bacterial protein
Evolution, Molecular
03 medical and health sciences
Antibiotic resistance
Bacterial Proteins
Gene Frequency
Drug Resistance, Bacterial
evolution
medicine
Humans
Prospective Studies
antimicrobial resistance
Selection, Genetic
crisis management
Intensive care medicine
Gene
lcsh:QH301-705.5
Uncategorized
Bacteria
business.industry
General Neuroscience
Antimicrobial
Biotechnology
Anti-Bacterial Agents
030104 developmental biology
lcsh:Biology (General)
Perspective
horizontal gene transfer
business
Genome, Bacterial
Research Article
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- Open Biology, Open Biology, Vol 6, Iss 11 (2016)
- Accession number :
- edsair.doi.dedup.....90d171df3bb3e4062f81148e9498576f
- Full Text :
- https://doi.org/10.26181/22092218