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| Funder | Swedish Research Council |
|---|---|
| Recipient Organization | Chalmers University of Technology |
| Country | Sweden |
| Start Date | Dec 01, 2023 |
| End Date | Nov 30, 2026 |
| Duration | 1,095 days |
| Number of Grantees | 1 |
| Roles | Principal Investigator |
| Data Source | Swedish Research Council |
| Grant ID | 2023-01721_VR |
Antimicrobial resistance (AMR) is a major healthcare challenge that, unless controlled, will cause millions of deaths annually in just a couple of decades.
A major issue in curbing AMR is that we seldom know what newly emerged antibiotic resistance genes (ARGs) to look for until they are already widespread in pathogenic bacteria. This makes it impossible to use surveillance to preventively identify risks for emergence of new ARGs.
In this project, we will characterize emergent ARGs in the environment, allowing their inclusion into AMR surveillance and detection in risk environments before they become clinical problems.
To achieve this, we will:1) Identify novel ARGs using functional metagenomics, shotgun metagenomic sequencing and exposure experiments2) Investigate the mobility of novel ARGs and their potential for transfer to pathogens3) Pinpoint specific early warning indicators for emerging ARGs4) Improve monitoring protocols for AMR so that they can be quickly updated with novel ARGs5) Define important settings where humans interact with resistant environmental bacteria by sampling the interface of humans, animals and the environment6) Provide resources for the integration of emerging ARGs in routine AMR surveillanceThe project will result in an early warning system for emerging AMR threats.
The system will be implementable in real-world surveillance in human, animal and environmental settings targeting applicability, affordability, and high information content.
Chalmers University of Technology
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