Evidence map›Paper›PMID 37022160›Full record

ArticlemBio2023

Minimal Surviving Inoculum in Collective Antibiotic Resistance.

Lukas Geyrhofer, Philip Ruelens, Andrew D Farr, Diego Pesce, J Arjan G M de Visser, Naama Brenner

Abstract read
In one paragraph

Article in mBio, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Contributions of intra- and extracellular antibiotic degradation to collective [Formula: see text]-lactam survival.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Evolution of Resistant Mutants inMicroorganisms · 2025
    Article
  8. Article
  9. Habitat fragmentation enhances microbial collective defence.Journal of the Royal Society, Interface · 2025
    Article
  10. Article
  11. [Research progress on the mechanism of -lactam resistance in group AZhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2024
    Review
  12. 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

6 authors.

Lukas GeyrhoferTechnion-Israel Institute of Technology, Haifa, Israel.ORCID 0000-0002-8043-2975
Philip RuelensWageningen University & Research, Wageningen, Netherlands.ORCID 0000-0003-1524-1897
Andrew D FarrWageningen University & Research, Wageningen, Netherlands.ORCID 0000-0002-3402-1665
Diego PesceWageningen University & Research, Wageningen, Netherlands.ORCID 0000-0003-4623-3558
J Arjan G M de VisserWageningen University & Research, Wageningen, Netherlands.ORCID 0000-0002-5098-6686
Naama BrennerTechnion-Israel Institute of Technology, Haifa, Israel.ORCID 0000-0002-8021-1208

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A common strategy used by bacteria to resist antibiotics is enzymatic degradation or modification. This reduces the antibiotic threat in the environment and is therefore potentially a collective mechanism that also enhances the survival of nearby cells. Collective resistance is of clinical significance, yet a quantitative understanding at the population level is still incomplete. Here, we develop a general theoretical framework of collective resistance by antibiotic degradation. Our modeling study reveals that population survival crucially depends on the ratio of timescales of two processes: the rates of population death and antibiotic removal. However, it is insensitive to molecular, biological, and kinetic details of the underlying processes that give rise to these timescales. Another important aspect of antibiotic degradation is the degree of cooperativity, related to the permeability of the cell wall to antibiotics and enzymes. These observations motivate a coarse-grained, phenomenological model, with two compound parameters representing the population's race to survival and single-cell effective resistance. We propose a simple experimental assay to measure the dose-dependent minimal surviving inoculum and apply it to Escherichia coli expressing several types of β-lactamase. Experimental data analyzed within the theoretical framework corroborate it with good agreement. Our simple model may serve as a reference for more complex situations, such as heterogeneous bacterial communities.

Indexed as

Anti-Bacterial AgentsBacteriabeta-LactamasesDrug Resistance, BacterialDrug Resistance, MicrobialEscherichia coliHumansAnti-Bacterial Agentsbeta-Lactamasesantibiotic resistancebacterial collective dynamicsbeta-lactamaseinoculum effectmathematical modelingpopulation dynamics

Identifiers

PMID37022160
PMCPMC10128016

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.