Literature DB >> 12573546

Isolation of methicillin-resistant coagulase-negative staphylococci from patients undergoing continuous ambulatory peritoneal dialysis (CAPD) and comparison of different molecular techniques for discriminating isolates of Staphylococcus epidermidis.

Elaine Marques de Mattos1, Lenise Arneiro Teixeira, Vanda Maria Morgado Alves, Cleide Aparecida Ferreira Rezenda e Resende, Marcus Vinícius da Silva Coimbra, Maria Cícera da Silva-Carvalho, Bernadete Teixeira Ferreira-Carvalho, Agnes Marie Sá Figueiredo.   

Abstract

Coagulase-negative staphylococci (CNS) have emerged as an important pathogen in nosocomial infections. About 80%-90% of CNS isolates associated with hospital infections are methicillin-resistant coagulase-negative staphylococci (MRCNS). The aims of this study were to screen for MRCNS isolates in the flora of a small population of patients undergoing continuous ambulatory peritoneal dialysis (CAPD) and to evaluate the discriminatory power of different molecular methods: pulsed-field gel electrophoresis (PFGE), mecA location, ClaI/mecA polymorphism and arbitrarily primed polymerase chain reaction (AP-PCR) for characterizing isolates of methicillin-resistant Staphylococcus epidermidis (MRSE). Seventy-nine CNS isolates were recovered from the 11 CAPD patients studied. Using a methicillin screening agar and a DNA specific mecA probe we verified that 30 of the 79 (38%) CNS isolates were resistant to methicillin (MRCNS). Twenty-two of the 30 MRCNS (73%) were MRSE, 7 (23%) methicillin-resistant S. haemolyticus (MRSH(ae)) and 1 (3%) methicillin-resistant S. hominis (MRSH(om)). All patients analyzed carried MRCNS in their flora, in one or more sites. Since CAPD patients have high risk for developing peritonitis, the colonization of these patients with MRCNS might represent an additional problem, due to the therapeutic restrictions imposed by these multiresistant isolates. A wide genetic diversity was verified when the PFGE of the MRSE isolates was analyzed. The 22 MRSE isolates displayed a total of 15 PFGE different patterns (11 PFGE types and 4 subtypes). The location of mecA in the SmaI-fragmented genome DNA did not bring any additional advantage for epidemiologic characterization of the isolates. The ClaI/mecA polymorphism was able to correctly discriminate 12 from the 15 PFGE patterns. In addition, the DNA of 20 MRSE isolates were used for AP-PCR typing. These isolates belonged to 14 PFGE patterns (11 types and 3 subtypes) and displayed 15 genotypes (for the association of PFGE, mecA location and ClaI/mecA polymorphism). A total of 17 different amplification patterns was verified using the primer 1. Only for 2 genotypes, strains having identical genetic backgrounds were further discriminated by AP-PCR (2 of 15 genotypes (87%) for AP-PCR and 1 of 15 genotypes for PFGE; (93%). Concluding, our results indicated that the AP-PCR can be an alternative and useful tool for monitoring and genotyping MRSE colonization and also to molecular characterizing MRSE outbreaks in hospitals.

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Year:  2003        PMID: 12573546     DOI: 10.1016/s0732-8893(02)00477-7

Source DB:  PubMed          Journal:  Diagn Microbiol Infect Dis        ISSN: 0732-8893            Impact factor:   2.803


  10 in total

1.  Inferring a population structure for Staphylococcus epidermidis from multilocus sequence typing data.

Authors:  M Miragaia; J C Thomas; I Couto; M C Enright; H de Lencastre
Journal:  J Bacteriol       Date:  2007-01-12       Impact factor: 3.490

2.  Antimicrobial resistance and molecular characterization of Staphylococcus haemolyticus in a Chinese hospital.

Authors:  M-H Yu; Y-G Chen; Y-S Yu; C-L Chen; L-J Li
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2010-03-04       Impact factor: 3.267

3.  Comparison of the bacterial flora of the nasal vestibule and cavity in haemodialysis patients.

Authors:  H Ucuncu; H Uslu; A Ozbek; B Aktan; Y Sutbeyaz; E Altas
Journal:  Acta Otorhinolaryngol Ital       Date:  2009-10       Impact factor: 2.124

4.  Comparison of molecular typing methods for characterization of Staphylococcus epidermidis: proposal for clone definition.

Authors:  M Miragaia; J A Carriço; J C Thomas; I Couto; M C Enright; H de Lencastre
Journal:  J Clin Microbiol       Date:  2007-11-07       Impact factor: 5.948

5.  Coagulase negative staphylococcal peritonitis in peritoneal dialysis patients: review of 232 consecutive cases.

Authors:  Cheuk-Chun Szeto; Bonnie Ching-Ha Kwan; Kai-Ming Chow; Miu-Fong Lau; Man-Ching Law; Kwok-Yi Chung; Chi-Bon Leung; Philip Kam-Tao Li
Journal:  Clin J Am Soc Nephrol       Date:  2007-11-21       Impact factor: 8.237

6.  Prevalence and characteristics of methicillin-resistant coagulase-negative staphylococci from livestock, chicken carcasses, bulk tank milk, minced meat, and contact persons.

Authors:  Helen Huber; Dominik Ziegler; Valentin Pflüger; Guido Vogel; Claudio Zweifel; Roger Stephan
Journal:  BMC Vet Res       Date:  2011-01-27       Impact factor: 2.741

7.  Antistaphylococcal activity of bacteriophage derived chimeric protein P128.

Authors:  Aradhana A Vipra; Srividya Narayanamurthy Desai; Panchali Roy; Raghu Patil; Juliet Mohan Raj; Nagalakshmi Narasimhaswamy; Vivek Daniel Paul; Ravisha Chikkamadaiah; Bharathi Sriram
Journal:  BMC Microbiol       Date:  2012-03-22       Impact factor: 3.605

Review 8.  Virulence Factors in Coagulase-Negative Staphylococci.

Authors:  Angela França; Vânia Gaio; Nathalie Lopes; Luís D R Melo
Journal:  Pathogens       Date:  2021-02-04

9.  Prevalence, aetiology and antibiotic resistance profiles of coagulase negative staphylococci isolated in a teaching hospital.

Authors:  Luiz S Keim; Sylvio R Torres-Filho; Patricia Vollú Silva; Lenise A Teixeira
Journal:  Braz J Microbiol       Date:  2011-01       Impact factor: 2.476

10.  Molecular epidemiology of coagulase-negative Staphylococcus carriage in neonates admitted to an intensive care unit in Brazil.

Authors:  Yves Mauro Ternes; Juliana Lamaro-Cardoso; Maria Cláudia Porfirio André; Vicente Porfírio Pessoa; Maria Aparecida da Silva Vieira; Ruth Minamisava; Ana Lúcia Andrade; André Kipnis
Journal:  BMC Infect Dis       Date:  2013-12-05       Impact factor: 3.090

  10 in total

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