Evidence map›Paper›PMID 30958185›Full record

ArticleJournal of the Royal Society, Interface2019

Dead bacterial absorption of antimicrobial peptides underlies collective tolerance.

Fan Wu, Cheemeng Tan

Open access · bronzeAbstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.5field-weighted citation impact, top 12% of its field
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

15 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Multidrug Resistance Pumps as a Keystone of Bacterial Resistance.Moscow University biological sciences bulletin · 2022
    Article
  11. Review
  12. Article
  13. Inoculum effect of antimicrobial peptides.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  14. Super-Resolution Microscopy Reveals a Direct Interaction of IntracellularInternational journal of molecular sciences · 2020
    Article
  15. Review
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

2 authors at 1 institution in 1 country.

Fan WuDepartment of Biomedical Engineering, University of California Davis , Davis, CA 95616 , USA.
Cheemeng TanDepartment of Biomedical Engineering, University of California Davis , Davis, CA 95616 , USA.
University of California, Davis · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The collective tolerance towards antimicrobial peptides (APs) is thought to occur primarily through mechanisms associated with live bacterial cells. In contrast to the focus on live cells, we discover that the LL37 antimicrobial peptide kills a subpopulation of Escherichia coli, forming dead cells that absorb the remaining LL37 from the environment. Combining mathematical modelling with population and single-cell experiments, we show that bacteria absorb LL37 at a timing that coincides with the permeabilization of their cytoplasmic membranes. Furthermore, we show that one bacterial strain can absorb LL37 and protect another strain from killing by LL37. Finally, we demonstrate that the absorption of LL37 by dead bacteria can be reduced using a peptide adjuvant. In contrast to the known collective tolerance mechanisms, we show that the absorption of APs by dead bacteria is a dynamic process that leads to emergent population behaviour.

Indexed as

Antimicrobial Cationic PeptidesModels, BiologicalCathelicidinsEscherichia coliHumansMicrobial ConsortiaAntimicrobial Cationic PeptidesCathelicidinsantimicrobial peptidecollective tolerancepopulation dynamic

Identifiers

PMID30958185
PMCPMC6408340
OpenAlexW2911457617

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.