Evidence map›Paper›PMID 41104112›Full record

ArticleISME communications2025

Common non-antibiotic drugs enhance selection for antimicrobial resistance in mixture with ciprofloxacin.

April Hayes, Lihong Zhang, Jason Snape, Edward Feil, Barbara Kasprzyk-Hordern, William H Gaze, Aimee K Murray

Abstract read
In one paragraph

Article in ISME communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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  5. Article
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

7 authors.

April HayesEuropean Centre for Environment and Human Health, University of Exeter, Penryn, TR109FE, United Kingdom.ORCID https://orcid.org/0000-0002-0293-3432
Lihong ZhangEuropean Centre for Environment and Human Health, University of Exeter, Penryn, TR109FE, United Kingdom.ORCID https://orcid.org/0000-0002-5931-9118
Jason SnapeDepartment of Environment and Geography, University of York, Yorkshire, YO10 5DD, United Kingdom.ORCID https://orcid.org/0000-0002-6634-8443
Edward FeilDepartment of Life Sciences, University of Bath, Bath, Somerset, BA2 7AY, United Kingdom.ORCID https://orcid.org/0000-0003-1446-6744
Barbara Kasprzyk-HordernDepartment of Chemistry, University of Bath, Bath, Somerset, BA2 7AY, United Kingdom.ORCID https://orcid.org/0000-0002-6809-2875
William H GazeEuropean Centre for Environment and Human Health, University of Exeter, Penryn, TR109FE, United Kingdom.ORCID https://orcid.org/0000-0002-9345-6204
Aimee K MurrayEuropean Centre for Environment and Human Health, University of Exeter, Penryn, TR109FE, United Kingdom.ORCID https://orcid.org/0000-0002-1388-754X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antimicrobial resistance (AMR) is a major health concern, and a range of antibiotic and non-antibiotic agents can select for AMR across a range of concentrations. Selection for AMR is often investigated using single compounds, however, in the natural environment and the human body, pharmaceuticals will be present as mixtures, including both non-antibiotic drugs (NADs), and antibiotics. Here, we assessed the effects of one of three NADs in combination with ciprofloxacin, a commonly used antibiotic that is often found at concentrations in global freshwaters sufficiently high to select for AMR. We used a combination of growth assays and qPCR to determine selective concentrations of mixtures and used metagenome sequencing to identify changes to the resistome and community composition. The addition of the three NADs to ciprofloxacin altered the selection dynamics for

Indexed as

antimicrobial resistancemicrobial ecologymixturesnon-antibiotic drugspharmaceuticals

Identifiers

PMID41104112
PMCPMC12526871

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.