Evidence map›Paper›PMID 39714152›Full record

ArticlemSphere2025

Antimicrobial peptide LL37 is potent against non-growing

Salimeh Mohammadi, Derek Saucedo, Sattar Taheri-Araghi

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in mSphere, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. 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.

Salimeh MohammadiDepartment of Physics and Astronomy, California State University, Northridge, California, USA.
Derek SaucedoDepartment of Physics and Astronomy, California State University, Northridge, California, USA.
Sattar Taheri-AraghiDepartment of Physics and Astronomy, California State University, Northridge, California, USA.ORCID 0000-0001-8736-1893

Funding

Dynamics of the Activity of Antimicrobial Peptides at the Population and the Single-Cell LevelsR15GM124640 · NIGMS · CALIFORNIA STATE UNIVERSITY NORTHRIDGE · PI TAHERI ARAGHI, SATTAR · 2017 to 2017
$435k
NIGMS NIH HHS R15 GM124640
6 · The paper itself

Abstract

Antimicrobial peptides (AMPs) have long been considered as potential agents against non-growing, dormant cells due to their membrane-targeted action, which is largely independent of the cell's growth state. However, the relationship between the action of AMPs and the physiological state of their target cells has been unclear, with recent reports offering conflicting views on the efficacy of AMPs against bacteria in a stationary phase. In this study, we employ single-cell approaches combined with population-level experiments to examine the action of human LL37 peptides against IMPORTANCE: Antibiotic treatments can fail because of the regrowth of a bacterial subpopulation that resumes proliferation once the treatment ceases. This resurgence is primarily driven by non-growing, dormant bacterial cells that withstand the action of antibiotics without developing resistance. In this study, we explore the potency of the human antimicrobial peptide LL37 against non-growing

Indexed as

Anti-Bacterial AgentsAntimicrobial Cationic PeptidesAntimicrobial PeptidesCathelicidinsEscherichia coliHumansMicrobial Sensitivity TestsSingle-Cell AnalysisAnti-Bacterial AgentsAntimicrobial Cationic PeptidesAntimicrobial PeptidesCathelicidinsantimicrobial peptidesEscherichia colinon-growing cellspersistence

Identifiers

PMID39714152
PMCPMC11774018

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.