The evolution of antibiotic resistance in Europe, 1998–2019

The evolutionary dynamics of antibiotic resistance are not well understood, particularly the long-term trajectories of resistance frequencies and their dependence on antibiotic consumption. Here, we systematically analyse resistance trajectories for 887 bug-drug-country combinations in Europe across 1998-2019, for eight bacterial species with a considerable resistance-associated public health burden. Our analyses support a model in which, after an initial increase, resistance frequencies reach a stable intermediate equilibrium. The plurality (37%) of analysed trajectories were best described as 'stable' (neither increasing nor decreasing). 21% of trajectories were best described as 'stabilising' - i.e. showing a transition from increasing frequency to a stable plateau; 21% as decreasing and 20% as increasing. The antibiotic consumption in a country predicts both the equilibrium frequency of the corresponding resistance and the speed at which this equilibrium is reached. Moreover, we find weak evidence that temporal fluctuations in resistance frequency are driven by temporal fluctuations in hospital antibiotic consumption. A large fraction of the variability in the speed of increase and the equilibrium level of resistance remains unexplained by antibiotic use, suggesting other factors may also drive resistance dynamics. Overall, our results indicate that ever increasing antibiotic resistance frequencies are not inevitable.

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Publication Details

Journal
PLoS Pathogens
Published
2025-04-03
DOI
https://doi.org/10.1371/journal.ppat.1012945
Citations
12
Primary Topic
Antibiotic Use and Resistance
Type
article
Field-Weighted Citation Impact
15.14

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article

The evolution of antibiotic resistance in Europe, 1998–2019

Sonja Lehtinen, François Blanquart, Martin Emons
12 citations
PLoS Pathogens
Antibiotic Use and Resistance
15.14
article

The evolution of antibiotic resistance in Europe, 1998–2019

Sonja Lehtinen, François Blanquart, Martin Emons
article en
12 citations

Abstract

The evolutionary dynamics of antibiotic resistance are not well understood, particularly the long-term trajectories of resistance frequencies and their dependence on antibiotic consumption. Here, we systematically analyse resistance trajectories for 887 bug-drug-country combinations in Europe across 1998-2019, for eight bacterial species with a considerable resistance-associated public health burden. Our analyses support a model in which, after an initial increase, resistance frequencies reach a stable intermediate equilibrium. The plurality (37%) of analysed trajectories were best described as 'stable' (neither increasing nor decreasing). 21% of trajectories were best described as 'stabilising' - i.e. showing a transition from increasing frequency to a stable plateau; 21% as decreasing and 20% as increasing. The antibiotic consumption in a country predicts both the equilibrium frequency of the corresponding resistance and the speed at which this equilibrium is reached. Moreover, we find weak evidence that temporal fluctuations in resistance frequency are driven by temporal fluctuations in hospital antibiotic consumption. A large fraction of the variability in the speed of increase and the equilibrium level of resistance remains unexplained by antibiotic use, suggesting other factors may also drive resistance dynamics. Overall, our results indicate that ever increasing antibiotic resistance frequencies are not inevitable.

PLoS PathogensVol. 21(4)
SIB Swiss Institute of Bioinformatics (CH), Centre National de la Recherche Scientifique (FR), Collège de France (FR), University of Zurich (CH), Université Paris Sciences et Lettres (FR), ETH Zurich (CH), Institute for Biomedical Engineering (CH), Centre Interdisciplinaire de Recherche en Biologie (FR), Swiss Integrative Center for Human Health (CH), University of Lausanne (CH)
National Science Foundation, European Centre for Disease Prevention and Control, Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
Good health and well-being
Openalex Percentile: Top 1%
Antibiotic Use and Resistance
15.14
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