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Emerging of antimicrobial resistance in staphylococci isolated from clinical and food samples in Algeria

Overview of attention for article published in BMC Research Notes, September 2018
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Title
Emerging of antimicrobial resistance in staphylococci isolated from clinical and food samples in Algeria
Published in
BMC Research Notes, September 2018
DOI 10.1186/s13104-018-3762-2
Pubmed ID
Authors

Rachid Achek, Helmut Hotzel, Zafer Cantekin, Ibrahim Nabi, Taha Mossadak Hamdi, Heinrich Neubauer, Hosny El-Adawy

Abstract

The antimicrobial resistance of staphylococci rose worldwide. In total, 96 Staphylococcus isolates from food and clinical samples were collected from two provinces in Algeria. The antimicrobial susceptibility testing was performed and resistance-associated genes were detected. Fifty-one strains were isolated from food samples and differentiated into 33 Staphylococcus aureus and 18 coagulase-negative staphylococci. Forty-five staphylococci were collected from hospital and community-acquired infection cases. All S. aureus isolated from food were resistant to penicillin and 45.5% were resistant to tetracycline. The resistance rates of 45 clinical Staphylococcus isolates were 86.7%, 48.9%, 37.8% and 20.0% to penicillin, tetracycline, erythromycin and kanamycin, respectively. Nine isolates were confirmed as MRSA from food and clinical isolates. One S. aureus originated from food was confirmed as vancomycin-resistant. Multidrug-resistance was observed among 25.5% and 53.3% of food and clinical staphylococci, respectively. The tetM/K, blaZ, aacA-aphD, ermC and mecA genes were detected in food and clinical isolates. ermA gene was not found. This study provided insight into the status of antimicrobial resistance of staphylococci isolated from food and clinical samples in Algeria. Further investigations and surveillance programmes are mandatory.

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The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 79 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 13%
Student > Doctoral Student 7 9%
Student > Master 6 8%
Student > Ph. D. Student 6 8%
Lecturer 3 4%
Other 10 13%
Unknown 37 47%
Readers by discipline Count As %
Medicine and Dentistry 9 11%
Immunology and Microbiology 9 11%
Agricultural and Biological Sciences 8 10%
Biochemistry, Genetics and Molecular Biology 4 5%
Veterinary Science and Veterinary Medicine 4 5%
Other 6 8%
Unknown 39 49%