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Antimicrobial susceptibility, plasmid profiles, and RAPD-PCR typing of Acinetobacter bacteria


Background: Multiple-drug resistant Acinetobacter have widely spread in the last decades imposing a serious nosocomial source of infection. Nevertheless, little knowledge was gaimed on tracing the development of antibiotic resistance in Acinetobacter species. Objectives: Explore Acinetobacter spp. via antimicrobial susceptibility, plasmid profiles, and random amplified polymorphism DNA polymerase chain reaction (RAPD-PCR) typing. Methods: One hundred twelve Acinetobacter isolates (including 66 A. baumannii and 46 non-Acinetobacter baumannii strains) were obtained from three university hospitals. The source of infection of these isolates included blood, urine, wound, and respiratory tract. Their susceptibilities to 17 antibiotics were tested and then all Acinetobacter isolates were typed by plasmid analysis and RAPD-PCR method. Results: A. baumannii isolates revealed nine different patterns of antibiotic resistance. Of those, non- A. baumannii, were associated with plasmid and RAPD-PCR typings (p <0.05). A. baumannii was more resistant to multiple antibiotics than non-A. baumannii (p <0.05). Seven different plasmid profiles were observed among 112 Acinetobacter isolates. Plasmids were found in 107 (95.5%) of the 112 isolates. Unlike in RAPD-PCR typing, there was no difference between the type of Acinetobacter, A. or non-A. baumannii strains and plasmid profiles (p >0.05). By RAPD-PCR, six profiles were found for each A. and non-A. baumannii strains. The pattern 6 was the most common pattern among the isolates. Both plasmid and RAPD-PCR typing showed no association between plasmid profiling and site of infection (p >0.05). Conclusion: There is a wide spread of multi-drug resistant Acinetobacter spp., particularly A. baumannii, in the Middle East region that can be traced efficiently by plasmid and genotyping typing of Acinetobacter. More care should be taken for tracing the development of antimicrobial resistance of Acinetobacter using precise molecular typing techniques.

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Fingerprints by pulsed-field gel electrophoresis of leptospires isolated from field rats and comparison with reference Leptospira serovars

polymorphism.Vet Rec. 1993; 132:325-6. 11. Natarajaseenivasan K, Prabhu N, Selvanayaki K, Raja SS, Ratnam S. Human leptospirosis in Erode, South India: serology, isolation, and characterization of the isolates by randomly amplified polymorphic DNA (RAPD) fingerprinting. Jpn J Infect Dis. 2004; 7: 193-7. 12. Perolat P, Grimont F, Regnault B, Grimont PA, Fournie E, Thevenet H, et al. rRNA gene restriction patterns of Leptospira: a molecular typing system. Res Microbiol. 1990; 141:159-71. 13. Kositanont U, Chotinantakul K

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Lymphatic Vascularization in Primary Breast Cancer: Her2 Overexpressing Tumors Contain More Lymphatics than Steroid Receptor Positive, Triple-Positive And Triple Negative Breast Carcinomas

density, VEGF-C, and VEGFR-3 expression in different molecular types of breast cancer. Anticancer Res. 2011;31:1757-64. 15. Tavassoli FA, Devillee P. WHO Classification of Tumours: Pathology and genetics of tumours of the breast and female genital organs, Lyon: IARC Press; 2003. 11-58. 16. E lston CW, Ellis IO. Pathological prognostic factors in breast cancer. The value of histological grade in breast cancer: Experience from a large study with long-term follow-up. Histopathology. 2002;41:154-61. 17. Wolff AC, Hammond MEH

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Overview of phenotypic methods used for differentiation of Staphylococcus aureus

geography locations. Bosn J Basic Med Sci. 2015;15(3):48-56. 10. Bruisten SM, Schouls L. Molecular typing and clustering analysis as a tool for epidemiology of infectious diseases. In: Kramer A, Kretzschmar M, Krickeberg K, editors. Modern infectious disease epidemiology. New York: Springer;2009:117-41. 11. Mehndiratta PL, Bhalla P. Typing of methicillin resistant Staphylococcus aureus: a technical review. Indian J Med Microbiol. 2012;30(1):16-23. 12. Weller TMA. Methicillin-resistant Staphylococcus aureus typing methods: which should be the

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Antibiotic resistance, multidrug resistance and enterobacterial repetitive intergenic consensus polymerase chain reaction profiles of clinically important Klebsiella species

Reservoirs of drug resistant bacterial genomes and extrachromosomal DNA segments are a growing problem and cause emergence of new multidrug resistant (MDR) strains [ 1 ]. Antibiotic resistance of Klebsiella infections are causing increasing morbidity and mortality, and an increase in health care costs worldwide. In epidemiological research, not only phenotypical analysis, but also genotypical analysis is conducted by using various molecular typing methods such as plasmid profiling, ribotyping, and polymerase chain reaction (PCR) to find genetic

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