Evidence map›Paper›PMID 39638914›Full record

ArticleInternational microbiology : the official journal of the Spanish Society for Microbiology2025

Isolation and characterization of bacteriophages targeting methicillin-resistant Staphylococcus aureus (MRSA) from burn patients and sewage water: a genomic and proteomic study.

Nishat Zafar, Muhammad Aamir Aslam, Sajjad Ur Rahman, Muhammad Saqib

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Article in International microbiology : the official journal of the Spanish Society for Microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Nishat ZafarInstitute of Microbiology, University of Agriculture, Faisalabad, Pakistan. Nishat_zafar@yahoo.com.
Muhammad Aamir AslamInstitute of Microbiology, University of Agriculture, Faisalabad, Pakistan.
Sajjad Ur RahmanInstitute of Microbiology, University of Agriculture, Faisalabad, Pakistan.
Muhammad SaqibInstitute of Microbiology, University of Agriculture, Faisalabad, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The spectrum of infections caused by methicillin-resistant Staphylococcus aureus (MRSA) ranges from minor conditions to potentially life-threatening diseases. The rising antibiotic resistance in MRSA often leads to treatment failures, underscoring the urgent need for novel eradication strategies. This study focuses on isolating MRSA from burn patients, determining its antibiogram profile, and isolating and characterizing bacteriophages from sewage water that target MRSA, alongside conducting genomic analysis of the phages. A total of 70 samples were collected from burn patients, with MRSA identification and characterization performed using a combination of biochemical and molecular techniques, as well as antibiotic sensitivity testing. Based on host range analysis, a specific phage (phage-3) was selected for detailed characterization, including proteomic analysis, genetic mapping, phylogenetic studies, and analysis of open reading frames (ORFs) and motifs. The prevalence of MRSA in the samples was found to be 28.6%. Antibiotic susceptibility tests indicated that 94% of the MRSA isolates were sensitive to tobramycin and gentamicin, while vancomycin exhibited the lowest sensitivity, with only 2% effectiveness. Using the soft agar overlay method, three bacteriophages (phage-1, phage-2, and phage-3) were successfully isolated from sewage water. Among these, phage-3 exhibited the broadest host range. Further analysis showed that phage-3 demonstrated optimal activity at pH levels between 6 and 8, and within a temperature range of 20-40 °C. Phage-3 also displayed a rapid adsorption phase within the first 0-5 min, and its one-step growth curve revealed a latent period lasting up to 30 min, followed by a significant increase in titer from 30 to 50 min. Proteomic analysis of phage-3 identified the presence of 33 kDa and 65 kDa proteins. Phylogenetic analysis showed that phage-3 shares 96.6% similarity with Mammallicoccus phage vB_MscM-PMS3. The ORF analysis identified 80 potential ORFs within the phage's entire genome.

Indexed as

BacteriophagesBurnsMethicillin-Resistant Staphylococcus aureusSewageStaphylococcal InfectionsStaphylococcus PhagesAnti-Bacterial AgentsGenome, ViralGenomicsHost SpecificityHumansMicrobial Sensitivity TestsPhylogenyProteomicsViral ProteinsAnti-Bacterial AgentsSewageViral ProteinsAntibiogramBacteriophagesCharacterizationMethicillin-resistant Staphylococcus aureus (MRSA)Sewerage water

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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.