Evidence map›Paper›PMID 38165438›Full record

ArticleMolecular biology reports2024

Epidemiological characterization of clinical isolates of meticillin resistant Staphylococcus aureus through multilocus sequence typing and staphylococcal cassette chromosome mec typing in Northwest Iran.

Elham Sheykhsaran, Javid Sadeghi, Mohammad Yousef Memar, Reza Ghotaslou, Hossein Bannazadeh Baghi, Yaeghob Sharifi, Fatemeh Yeganeh Sefidan, Delara Laghousi, Amin Abbasi

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Article in Molecular biology reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.3field-weighted citation impact, top 13% of its field
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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Review
  3. Molecular characterization and antibiotic susceptibility of methicillin-resistantInternational journal of immunopathology and pharmacology
    Article
4 · The record

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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

9 authors at 3 institutions in 1 country.

Elham SheykhsaranImmunology Research Centre, Tabriz University of Medical Sciences, Tabriz, Iran.
Javid SadeghiImmunology Research Centre, Tabriz University of Medical Sciences, Tabriz, Iran. jsadeghitbzmed@gmail.com.
Mohammad Yousef MemarInfectious and Tropical Diseases Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Reza GhotaslouDepartment of Microbiology, Faculty of Medicine, Tabriz University of Medical Sciences, PO Box 5165665931, Tabriz, Iran.
Hossein Bannazadeh BaghiImmunology Research Centre, Tabriz University of Medical Sciences, Tabriz, Iran.
Yaeghob SharifiDepartment of Clinical Microbiology, School of Medicine, Urmia University of Medical Sciences, Urmia, Iran.
Fatemeh Yeganeh SefidanDepartment of Microbiology, Faculty of Medicine, Tabriz University of Medical Sciences, PO Box 5165665931, Tabriz, Iran.
Delara LaghousiSocial Determinants of Health Research Center, Health Management and Safety Promotion Research Institute, Tabriz University of Medical Sciences, Tabriz, Iran.
Amin AbbasiStudent Research Committee, Department of Food Sciences and Technology Research Institute, Faculty of Nutrition Sciences and Food Technology, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Tabriz University of Medical Sciences · IRShahid Beheshti University of Medical Sciences · IRUrmia University · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMethicillin-resistant Staphylococcus aureus (MRSA), is considered a potential and aggressive nosocomial pathogen. It accounts for 50% of S. aureus isolates in tertiary hospitals in Iran, however, there is no sufficient evolutionary and epidemiological investigation about this medically important bacterium. We aimed to study the lineage and evolution of MRSA in Northwest Iran during 2021-2022 based on the obtained phenotypic and genotypic characteristics. MATERIALS AND

methodsSeventy-two non-duplicate MRSA isolates were collected from 3 referral hospitals in Tabriz, Ardebil, and Urmia cities. The antimicrobial susceptibility patterns were determined by disk diffusion test and micro broth dilution methods. Thereafter 4 virulence genes (eta, etb, pvl, tst) and 5 types of staphylococcal cassette chromosome mec (SCCmec) were detected by PCR. In the final step, representative isolates were selected to be studied by Multilocus sequence typing (MLST).

resultsThe highest resistance was observed to erythromycin and clindamycin at a rate of 76.4%, followed by ciprofloxacin (61.1%), gentamicin (54.2%), rifampin (38.9%), and co-trimoxazole (27.8%). All isolates were susceptible to vancomycin. The virulence genes of etb, pvl, tst, and eta were detected in 50%, 29.2%, 21.8%, and 13.9% of isolates, respectively. SCCmec types III and I were the most prevalent types, followed by types IV, II, and V. MLST analysis revealed 6 sequence types: ST6854, ST5282, ST127, ST7804, ST1607, and ST7784. Two MLST-based clonal complexes (CC8, and CC97) were identified as well.

conclusionThe ST numbers were non-repetitive. CC8 as a pandemic clone and an individual lineage and clinically significant clade was reported as the most prevalent clonal complex. It is essential periodic evaluations of antibiotic susceptibility patterns and study the evolutionary characteristics of medical-challenging microorganisms in particular MRSA to effectively treat and restrict the outbreaks.

Indexed as

Methicillin-Resistant Staphylococcus aureusChromosomesIranMethicillinMultilocus Sequence TypingStaphylococcus aureusMethicillinAntibiotic resistanceMLSTMRSASCCmec typing

Identifiers

PMID38165438
OpenAlexW4390507847

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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.