Evidence map›Paper›PMID 41261332›Full record

ArticleAMB Express2025

Synergistic effect of A novel antimicrobial peptide and silver nanoparticles against drug-resistant P. aeruginosa.

Abolfazl Eyni, Mehdi Goudarzi, Fatemeh Peyravii Ghadikolaii, Abbasali Dehpori, Saeed Soltani

Abstract read
In one paragraph

Article in AMB Express, 2025. 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

5 authors.

Abolfazl EyniDepartment of Biology, QaS.C., Islamic Azad University, Qaemshahr, Iran.
Mehdi GoudarziDepartment of Microbiology, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran. gudarzim@yahoo.com.
Fatemeh Peyravii GhadikolaiiDepartment of Biology, QaS.C., Islamic Azad University, Qaemshahr, Iran.
Abbasali DehporiDepartment of Biology, QaS.C., Islamic Azad University, Qaemshahr, Iran.
Saeed SoltaniDepartment of Biology, Sar.c., Islamic Azad University, Sari, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Drug-resistant Pseudomonas aeruginosa poses a significant clinical challenge due to its intrinsic antibiotic resistance and the formation of metabolically dormant persister cells. Here, we evaluated the antibacterial and anti-persister activities of a novel 20-amino-acid cationic antimicrobial peptide (RRFFKKAAHVGKHVGKAARR) alone and in combination with silver nanoparticles (AgNPs) against P. aeruginosa PAO1. Minimum inhibitory concentrations (MICs) were determined by broth microdilution (128 µg/mL for the peptide; 8 µg/mL for AgNPs), and checkerboard assays revealed a strong synergistic interaction (fractional inhibitory concentration index (FICI) = 0.25). Treatment of colistin-induced persister populations with the peptide-AgNP combination reduced viable cells by 94.3 ± 2.1% (p < 0.01), markedly outperforming either agent alone. MTT assays in Caco-2 cells demonstrated > 85% viability at concentrations up to the MIC, indicating low host cytotoxicity. Mechanistic insights suggest that membrane disruption by the peptide, coupled with reactive oxygen species (ROS) generation and intracellular interference by AgNPs, underlies the enhanced eradication of both active and dormant bacterial cells. These findings support further in vivo investigation of AMP-AgNP co-therapy as a promising strategy to overcome antibiotic tolerance in P. aeruginosa.

Indexed as

Antimicrobial peptideCytotoxicityPersister cellsPseudomonas aeruginosaSilver nanoparticlesSynergy

Identifiers

PMID41261332
PMCPMC12630409

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.