Evidence map›Paper›PMID 38773046›Full record

ArticleBrazilian journal of microbiology : [publication of the Brazilian Society for Microbiology]2024

Phenotypic and molecular characterization of clinically isolated antibiotics-resistant S. aureus (MRSA), E. coli (ESBL) and Acinetobacter 1379 bacterial strains.

Daraksha Iram, Manish Singh Sansi, Anil Kumar Puniya, Kamal Gandhi, Sunita Meena, Shilpa Vij

Abstract read
In one paragraph

Article in Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology], 2024. 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
–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

1 citing paper in PubMed.

  1. Nano-Enabled Advances in Tea Tree Essential Oil (Materials (Basel, Switzerland) · 2026
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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

6 authors.

Daraksha IramAntimicrobial Peptides, Biofunctional Probiotics and Peptidomics Laboratory, Dairy Microbiology Division, National Dairy Research Institute, Karnal, India.
Manish Singh SansiBiofunctional Peptidomics and Metabolic Syndrome Laboratory, Animal Biochemistry Division, National Dairy Research Institute, Karnal, India.
Anil Kumar PuniyaAnaerobic Microbial Fermentation Laboratory, Dairy Microbiology Division, National Dairy Research Institute, Karnal, India.
Kamal GandhiDairy Chemistry Division, National Dairy Research Institute, Karnal, India.
Sunita MeenaBiofunctional Peptidomics and Metabolic Syndrome Laboratory, Animal Biochemistry Division, National Dairy Research Institute, Karnal, India.
Shilpa VijAntimicrobial Peptides, Biofunctional Probiotics and Peptidomics Laboratory, Dairy Microbiology Division, National Dairy Research Institute, Karnal, India. shilpa.vij@icar.gov.in.ORCID http://orcid.org/0000-0001-5196-3091

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antibiotic-resistant bacteria causing nosocomial infections pose a significant global health concern. This study focused on examining the lipid profiles of both non-resistant and clinically resistant strains of Staphylococcus aureus (MRSA 1418), E. coli (ESBL 1384), and Acinetobacter 1379. The main aim was to investigate the relationship between lipid profiles, hydrophobicity, and antibiotic resistance so as to identify the pathogenic potential and resistance factors of strains isolated from patients with sepsis and urinary tract infections (UTIs). The research included various tests, such as antimicrobial susceptibility assays following CLSI guidelines, biochemical tests, biofilm assays, and hydrophobicity assays. Additionally, gas chromatography mass spectrometry (GC-MS) and GC-Flame Ionization Detector (GC-FID) analysis were used for lipid profiling and composition. The clinically isolated resistant strains (MRSA-1418, ESBL-1384, and Acinetobacter 1379) demonstrated resistance phenotypes of 81.80%, 27.6%, and 63.6%, respectively, with a multiple antibiotic resistance index of 0.81, 0.27, and 0.63. Notably, the MRSA-1418 strain, which exhibited resistance, showed significantly higher levels of hemolysin, cell surface hydrophobicity, biofilm index, and a self-aggregative phenotype compared to the non-resistant strains. Gene expression analysis using quantitative real-time PCR (qPCR). Indicated elevated expression levels of intercellular adhesion biofilm-related genes (icaA, icaC, and icaD) in MRSA-1418 (pgaA, pgaC, and pgaB) and Acinetobacter 1379 after 24 h compared to non-resistant strains. Scanning electron microscopy (SEM) was employed for structural investigation. These findings provide valuable insights into the role of biofilms in antibiotic resistance and suggest potential target pathways for combating antibiotic-resistant bacteria.

Indexed as

AcinetobacterAnti-Bacterial AgentsBiofilmsEscherichia coliMicrobial Sensitivity TestsAcinetobacter InfectionsDrug Resistance, BacterialDrug Resistance, Multiple, BacterialHumansMethicillin-Resistant Staphylococcus aureusPhenotypeStaphylococcal InfectionsAnti-Bacterial AgentsAntimicrobial resistantBiofilmESBLFAMEFatty acid profilingMRSA

Identifiers

PMID38773046
PMCPMC11405748

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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.