ArticleVeterinary research2022
Pseudomonas aeruginosa biofilm dispersion by the mouse antimicrobial peptide CRAMP.
Article in Veterinary research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
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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.
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Who cites it
12 citing papers in PubMed, 20 citations in OpenAlex.
- An IgM monoclonal antibody targeting diguanylate cyclase DgcE potentiates gentamicin activity against avian pathogenic Escherichia coli through modulation of c-di-GMP signaling.BMC veterinary research · 2026Article
- UnderstandingMicroorganisms · 2026Review
- Protease-assisted microencapsulation of carvacrol in pea protein systems for enhanced and durable antibiofilm activity.Current research in food science · 2026Article
- A Synthetic Phage-Peptide Conjugate as a Potent Antibacterial Agent forACS central science · 2025Article
- Impact and applications of cyclic di-GMP second messenger signaling in biotechnology and medicine.Sustainable microbiology · 2025Review
- Review
- Effect of baicalin on eradicating biofilms of bovine milk derived Acinetobacter lwoffii.BMC veterinary research · 2024Article
- A Comprehensive Review of Recent Research into the Effects of Antimicrobial Peptides on Biofilms-January 2020 to September 2023.Antibiotics (Basel, Switzerland) · 2024Review
- Effect of anti-biofilm peptideFrontiers in cellular and infection microbiology · 2024Article
- Recent Advances of Composite Nanomaterials for Antibiofilm Application.Nanomaterials (Basel, Switzerland) · 2023Review
- The Impact of the Virulence ofVeterinary sciences · 2023Article
- Impact of CRAMP-34 onFrontiers in cellular and infection microbiology · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
17 authors at 3 institutions in 1 country.
Funding
Abstract
Pseudomonas aeruginosa (P. aeruginosa) is a known bacterium that produces biofilms and causes severe infection. Furthermore, P. aeruginosa biofilms are extremely difficult to eradicate, leading to the development of chronic and antibiotic-resistant infections. Our previous study showed that a cathelicidin-related antimicrobial peptide (CRAMP) inhibits the formation of P. aeruginosa biofilms and markedly reduces the biomass of preformed biofilms, while the mechanism of eradicating bacterial biofilms remains elusive. Therefore, in this study, the potential mechanism by which CRAMP eradicates P. aeruginosa biofilms was investigated through an integrative analysis of transcriptomic, proteomic, and metabolomic data. The omics data revealed CRAMP functioned against P. aeruginosa biofilms by different pathways, including the Pseudomonas quinolone signal (PQS) system, cyclic dimeric guanosine monophosphate (c-di-GMP) signalling pathway, and synthesis pathways of exopolysaccharides and rhamnolipid. Moreover, a total of 2914 differential transcripts, 785 differential proteins, and 280 differential metabolites were identified. A series of phenotypic validation tests demonstrated that CRAMP reduced the c-di-GMP level with a decrease in exopolysaccharides, especially alginate, in P. aeruginosa PAO1 biofilm cells, improved bacterial flagellar motility, and increased the rhamnolipid content, contributing to the dispersion of biofilms. Our study provides new insight into the development of CRAMP as a potentially effective antibiofilm dispersant.
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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.