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Related Concept Videos

Antibiotic Selection00:57

Antibiotic Selection

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Overview
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Related Experiment Video

Updated: Jul 5, 2025

Quantification of Plasmid-Mediated Antibiotic Resistance in an Experimental Evolution Approach
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Quantification of Plasmid-Mediated Antibiotic Resistance in an Experimental Evolution Approach

Published on: December 14, 2019

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Forecasting antimicrobial resistance evolution.

Jens Rolff1, Sebastian Bonhoeffer2, Charlotte Kloft3

  • 1Evolutionary Biology, Institute of Biology, Freie Universität Berlin, Berlin, Germany.

Trends in Microbiology
|January 18, 2024
PubMed
Summary
This summary is machine-generated.

Forecasting antimicrobial resistance (AMR) can combat the antibiotic crisis by guiding sustainable drug use, reducing resistance gene spread, and enabling efficient infection treatment. This proactive approach requires new technology and a mindset shift.

Keywords:
AMRantibioticsforecastingpredictionresistance evolutionstakeholders

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Area of Science:

  • Microbiology
  • Public Health
  • Pharmacology

Background:

  • Antimicrobial resistance (AMR) poses a significant global health threat.
  • Current strategies focus on drug stewardship, new drug development, and diagnostics.
  • Forecasting the evolution of resistance remains an under-addressed area.

Purpose of the Study:

  • To highlight the potential of forecasting as a crucial tool against AMR.
  • To outline how resistance forecasting can mitigate the antibiotic crisis.
  • To identify key challenges for implementing resistance forecasting.

Main Methods:

  • Conceptual analysis and argumentation.
  • Literature review on AMR and forecasting methodologies.
  • Identification of technological and mindset-related barriers.

Main Results:

  • Forecasting can extend antibiotic lifespan and incentivize drug development.
  • It can reduce the environmental and inter-patient spread of AMR.
  • Forecasting enables better treatment of persistent infections, curbing further resistance evolution.

Conclusions:

  • Successful AMR forecasting requires novel technologies for risk assessment.
  • A paradigm shift from reactive to proactive resistance management is essential.
  • Implementing forecasting will significantly enhance global efforts to combat AMR.