Evidence map›Paper›PMID 40960506›Full record

ArticleCurrent microbiology2025

Isolation and Characterization of A Novel Pbunavirus with Promising Antibiofilm Activity Against Pseudomonas Aeruginosa.

Farnoosh Majlesain, Ashkan Abbasifard Semnani, Shamsozoha Abolmaali, Mehdi Sadeghi, Shakiba Darvish Alipour Astaneh

Abstract read
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In one paragraph

Article in Current microbiology, 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. Article
  3. Review
  4. Characterisation of a NovelPathogens (Basel, Switzerland) · 2025
    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.

Farnoosh Majlesain *Department of Biotechnology, Faculty of New Sciences and Technologies, Semnan University, Semnan, Iran.
Ashkan Abbasifard Semnani *Department of Biotechnology, Faculty of New Sciences and Technologies, Semnan University, Semnan, Iran.
Shamsozoha AbolmaaliDepartment of Biology, Faculty of Basic Science, Semnan University, Semnan, Iran. s_abolmaali@semnan.ac.ir.ORCID http://orcid.org/0000-0001-6342-0828
Mehdi SadeghiDepartment of Biology, Faculty of Basic Science, Semnan University, Semnan, Iran.
Shakiba Darvish Alipour AstanehDepartment of Biotechnology, Faculty of New Sciences and Technologies, Semnan University, Semnan, Iran. Darvishalipour@semnan.ac.ir.ORCID http://orcid.org/0000-0003-2131-5231

Funding

Iran National Science Foundation 95828352
6 · The paper itself

Abstract

Endolysin, encoded by bacteriophages, has emerged as a promising candidate against antibiotic-resistant bacteria due to its ability to target bacterial cell walls. In this study, we isolated a new bacteriophage vB_PaeC_sem1 from sewage. The genome of vB_PaeC_sem1 is 66,420 bp, a double-stranded linear DNA that comprises 92 open reading frames (ORFs). Sem1 showed broad stability across various temperatures, pH, and chemical solutions. Heterologous expression of Lys N in Escherichia coli was done (LysN1). The antibacterial effects of Lys N1 were shown against Pseudomonas aeruginosa and its biofilm disruption. Recombinant LysN1 and LysN effectively lysed P. aeruginosa as well as, destroying up to 80% and 67% of bacterial biofilm (respectively). No toxic effects on A549 cells were detected. These results suggest Sem1 as a potential alternative for treating Gram-negative bacterial infections.

Indexed as

BiofilmsPseudomonas aeruginosaPseudomonas PhagesA549 CellsAnti-Bacterial AgentsEndopeptidasesEscherichia coliGenome, ViralHumansOpen Reading FramesSewageAnti-Bacterial AgentsendolysinEndopeptidasesSewage

Identifiers

PMID40960506

What OpenQuestion holds

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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.