ArticleeLife2022
Fast bacterial growth reduces antibiotic accumulation and efficacy.
Article in eLife, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.
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.
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.
Who cites it
54 citing papers in PubMed, 95 citations in OpenAlex.
- Harnessing microfluidics for microbiology: from bacteria-host interactions to emerging cancer therapies.Communications biology · 2026Review
- Contributions of persisters and the Eagle effect to survival ofMicrobiology spectrum · 2026Article
- Fast-growing intracellular Mycobacterium tuberculosis populations evade antibiotic treatment.Nature communications · 2026Article
- Fast, StreamlinedChemical & biomedical imaging · 2026Article
- Beyond resistance and tolerance: rethinking evolutionary responses to antibiotics from the perspective of individual bacterial cells.Nature communications · 2026Review
- Article
- Article
- Growth-rate dependent response of mycobacteria to relief of inhibition by a bacteriostatic antibiotic.FEMS microbiology letters · 2026Article
- Microfluidics to Meet Antibiotic Resistance: A Growing Research Frontier.Antibiotics (Basel, Switzerland) · 2025Review
- Metabolic control of porin permeability influences antibiotic resistance in Escherichia coli.Nature microbiology · 2025Article
- Hybrid Antibiotics Targeting the Bacterial Ribosome.ACS central science · 2025Article
- Review
- Article
- A biphasic metabolism-β-lactamase production landscape governs the inoculum effect in β-lactamase-expressingbioRxiv : the preprint server for biology · 2025Article
- Phage provoke growth delays and SOS response induction despite CRISPR-Cas protection.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025Article
- Heterogeneous efflux pump expression underpins phenotypic resistance to antimicrobial peptides.eLife · 2025Article
- The role of bacterial metabolism in antimicrobial resistance.Nature reviews. Microbiology · 2025Review
- Lineage-dependent variations in single-cell antibiotic susceptibility reveal the selective inheritance of phenotypic resistance in bacteria.Nature communications · 2025Article
- Terminal complement complexes with or without C9 potentiate antimicrobial activity againstmBio · 2025Article
- Antibacterial compounds against non-growing and intracellular bacteria.npj antimicrobials and resistance · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 4 institutions in 4 countries.
Funding
Abstract
Phenotypic variations between individual microbial cells play a key role in the resistance of microbial pathogens to pharmacotherapies. Nevertheless, little is known about cell individuality in antibiotic accumulation. Here, we hypothesise that phenotypic diversification can be driven by fundamental cell-to-cell differences in drug transport rates. To test this hypothesis, we employed microfluidics-based single-cell microscopy, libraries of fluorescent antibiotic probes and mathematical modelling. This approach allowed us to rapidly identify phenotypic variants that avoid antibiotic accumulation within populations of
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What OpenQuestion holds
Registered trials
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.