Back

The epidemiology and evolution of CTX-M resistance in Escherichia coli in the community in France: how local antibiotic use, heterogeneity in carriage duration, costs of resistance and international travel shape levels of resistance

Cotto, O.; Birgy, A.; Magnan, M.; Bechet, S.; Bonacorsi, S.; Cohen, R.; Levy, C.; Nowrouzian, F. L.; Tenaillon, O.; Blanquart, F.

2026-04-17 epidemiology
10.64898/2026.04.16.26350860 medRxiv
Show abstract

The worldwide rise in the prevalence of extended-spectrum beta-lactamase (ESBL) producing Escherichia coli is a major public health concern. In Europe, ESBL carriage frequency increased then stabilized at about 6-8 %. Past antibiotic use and travel in countries with high ESBL frequency, notably South-East Asia, have repeatedly been identified as risk factors of ESBL carriage. Yet, the relative contributions of these mechanisms to the observed maintenance of a stable low frequency of ESBL in Europe remains unknown. Here, we used comprehensive data on the risk factors for carriage of ESBL-producing E. coli in the French community, alongside detailed microbiological characterization of both resistant and overall E. coli, to develop a biologically plausible mathematical model of ESBL resistance spread in France. The model also includes several mechanisms previously showed to favor coexistence such as population structure, variability in carriage duration and within-host dynamics. The level of resistance in the community implies resistant strains transmit 14% less than sensitive (95% credible interval 0.6-38%), and are cleared at a +23% larger rate (0.9-62%). ESBL resistance is predicted to be strongly associated with factors prolonging residence in the gut. Both the rate of antibiotic treatment and transmission strongly impact the frequency of ESBL in the community. In contrast, travel has little impact on ESBL frequency. Whether reducing treatment or transmission is best to reduce resistance depends on community-specific parameters. Our study opens perspectives for the quantitative study of resistance evolution and argues for future work to improve the characterization of the duration of carriage of commensal bacterial strains.

Matching journals

The top 7 journals account for 50% of the predicted probability mass.

1
mSystems
361 papers in training set
Top 0.4%
14.1%
2
PLOS Computational Biology
1633 papers in training set
Top 3%
9.9%
3
eLife
5422 papers in training set
Top 9%
8.2%
4
Philosophical Transactions of the Royal Society B
51 papers in training set
Top 0.4%
6.7%
5
Nature Communications
4913 papers in training set
Top 30%
6.2%
6
Environmental Microbiology
119 papers in training set
Top 0.8%
3.9%
7
Microbial Genomics
204 papers in training set
Top 0.7%
3.5%
50% of probability mass above
8
microLife
19 papers in training set
Top 0.1%
3.5%
9
Journal of The Royal Society Interface
189 papers in training set
Top 2%
2.5%
10
PLOS Biology
408 papers in training set
Top 6%
2.3%
11
mBio
750 papers in training set
Top 6%
2.0%
12
Molecular Biology and Evolution
488 papers in training set
Top 2%
2.0%
13
Scientific Reports
3102 papers in training set
Top 52%
2.0%
14
The Lancet Microbe
43 papers in training set
Top 0.5%
2.0%
15
PLOS Genetics
756 papers in training set
Top 8%
1.8%
16
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 35%
1.5%
17
Science Advances
1098 papers in training set
Top 20%
1.5%
18
Evolution, Medicine, and Public Health
14 papers in training set
Top 0.2%
1.1%
19
PLOS Pathogens
721 papers in training set
Top 7%
1.1%
20
Communications Medicine
85 papers in training set
Top 0.6%
1.1%
21
BMC Medicine
163 papers in training set
Top 5%
0.9%
22
Antimicrobial Agents and Chemotherapy
167 papers in training set
Top 2%
0.9%
23
Proceedings of the Royal Society B: Biological Sciences
341 papers in training set
Top 6%
0.8%
24
Evolution Letters
71 papers in training set
Top 2%
0.8%
25
Communications Biology
886 papers in training set
Top 22%
0.8%
26
PLOS ONE
4510 papers in training set
Top 67%
0.8%
27
The Journal of Infectious Diseases
182 papers in training set
Top 5%
0.7%
28
Frontiers in Microbiology
375 papers in training set
Top 10%
0.7%
29
iScience
1063 papers in training set
Top 35%
0.7%
30
Genome Medicine
154 papers in training set
Top 9%
0.6%