Evidence map›Paper›PMID 41145705›Full record

ArticleMolecular systems biology2026

Suppression of bacterial cell death underlies the antagonistic interaction between ciprofloxacin and tetracycline.

James Broughton, Achille Fraisse, Meriem El Karoui

Abstract read
In one paragraph

Article in Molecular systems biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

3 authors.

James BroughtonInstitute of Cell Biology, School of Biological Sciences, University of Edinburgh, Edinburgh, UK.ORCID http://orcid.org/0000-0001-7877-7504
Achille FraisseInstitute of Cell Biology, School of Biological Sciences, University of Edinburgh, Edinburgh, UK.ORCID http://orcid.org/0009-0003-0338-9285
Meriem El KarouiInstitute of Cell Biology, School of Biological Sciences, University of Edinburgh, Edinburgh, UK. meriem.elkaroui@ed.ac.uk.ORCID http://orcid.org/0000-0003-2522-613X

Funding

UK Research and Innovation (UKRI) EP/S02431X/1Wellcome TrustWellcome Trust (WT) 205008/Z/16/Z
6 · The paper itself

Abstract

Antibiotic combinations aim to maximise drug treatment efficiency and minimise resistance evolution, but a full understanding of their effect on bacterial cells is lacking. The interaction between the DNA-damaging antibiotic ciprofloxacin and the translation inhibitor tetracycline is antagonistic, resulting in a weaker effect on bacterial growth than expected from each drug individually. While this antagonism has been analysed at the population level, it has not been investigated at the single-cell level. We used a microfluidic device to quantify the antagonism between ciprofloxacin and tetracycline in single bacterial cells under three nutrient conditions. Improved growth results from increased survival of cells under the drug combination compared to ciprofloxacin alone. This effect depends on the initial drug-free growth rate, with better suppression in nutrient-rich conditions. Quantifying the DNA damage response (SOS response) revealed two sub-populations among cells that died upon ciprofloxacin treatment. The larger low-SOS sub-population, which showed increased survival compared to high-SOS cells, explains the stronger antagonistic effect in nutrient-rich conditions. Our results underscore the importance of single-cell quantification in understanding bacterial responses to antibiotic combinations.

Indexed as

Anti-Bacterial AgentsCiprofloxacinEscherichia coliTetracyclineDNA DamageDrug AntagonismLab-On-A-Chip DevicesSingle-Cell AnalysisSOS Response, GeneticsAnti-Bacterial AgentsCiprofloxacinTetracyclineAntagonismAntibiotic CombinationsGrowth-dependenceSingle-cellSOS Response

Identifiers

PMID41145705
PMCPMC12759072

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.