Evidence map›Paper›PMID 41416731›Full record

ArticleFEMS microbiology ecology2025

Pulsed antibiotic release into the environment may foster the spread of antimicrobial resistance.

Matthias Böckmann, Katharina Axtmann, Gabriele Bierbaum, Christiane Zarfl

Abstract read
In one paragraph

Article in FEMS microbiology ecology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Matthias BöckmannDepartment of Geosciences, Eberhard Karls University of Tübingen, Schnarrenbergstraße 94-96, 72076 Tübingen, Germany.ORCID 0009-0009-6358-764X
Katharina AxtmannInstitute of Medical Microbiology, Immunology and Parasitology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany.
Gabriele BierbaumInstitute of Medical Microbiology, Immunology and Parasitology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany.
Christiane ZarflDepartment of Geosciences, Eberhard Karls University of Tübingen, Schnarrenbergstraße 94-96, 72076 Tübingen, Germany.

Funding

Deutsche Forschungsgemeinschaft 431531292
6 · The paper itself

Abstract

The WHO has identified rising antibiotic resistance as a 'global threat,' highlighting the urgent need to understand how resistance spreads. A key concept is the minimum selective concentration (MSC)-the threshold at which resistant bacteria gain a competitive advantage. While MSC studies typically use single antibiotics under controlled conditions, real-world environments often contain fluctuating levels and mixtures of antibiotics from sources such as wastewater, complicating the dynamics of resistance spread. This study presents a mathematical model that simulates antibiotic accumulation in aquatic systems to evaluate the resulting influence on resistance selection in microbial communities. It incorporates antibiotic inputs, their photolytic and/or biotic degradation, and microbial competition. Results show that antibiotic accumulation from environmental pulses depends on parameters such as pulse frequency and half-life and may drive the selection of resistant strains. Importantly, combinations of antibiotics significantly alter bacterial competition depending on their interaction type. Synergistic combinations can potentially intensify selection for resistance even when individual antibiotic concentrations are below their respective MSCs. These findings help to understand effects of changing concentrations of multiple antibiotics and to plan mitigation strategies.

Indexed as

Anti-Bacterial AgentsBacteriaDrug Resistance, BacterialModels, BiologicalModels, TheoreticalWastewaterWater MicrobiologyAnti-Bacterial AgentsWastewaterbacterial competitionhalf-lifemicrobial modelminimum selective concentration (MSC)mixture effectswastewater

Identifiers

PMID41416731
PMCPMC12750453

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.