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Detection of macrolide resistance genes in culture-negative specimens from Bangladeshi children with invasive pneumococcal diseases.
Hasanuzzaman, Md; Malaker, Roly; Islam, Maksuda; Baqui, Abdullah H; Darmstadt, Gary L; Whitney, Cynthia G; Saha, Samir K.
Afiliação
  • Hasanuzzaman M; Child Health Research Foundation, Department of Microbiology, Dhaka Shishu Hospital, Dhaka 1207, Bangladesh.
  • Malaker R; Child Health Research Foundation, Department of Microbiology, Dhaka Shishu Hospital, Dhaka 1207, Bangladesh.
  • Islam M; Child Health Research Foundation, Department of Microbiology, Dhaka Shishu Hospital, Dhaka 1207, Bangladesh.
  • Baqui AH; International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
  • Darmstadt GL; Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA.
  • Whitney CG; Respiratory Diseases Branch, US Centers for Disease Control and Prevention, Atlanta, GA, USA.
  • Saha SK; Child Health Research Foundation, Department of Microbiology, Dhaka Shishu Hospital, Dhaka 1207, Bangladesh; Bangladesh Institute of Child Health, Dhaka Shishu Hospital, Dhaka, Bangladesh. Electronic address: samirk.sks@gmail.com.
J Glob Antimicrob Resist ; 8: 131-134, 2017 03.
Article em En | MEDLINE | ID: mdl-28132873
ABSTRACT

OBJECTIVES:

In recent years, an increasing prevalence of macrolide resistance among pneumococci in Bangladesh has been observed. However, the scenario remains incomplete, as few isolates (<1%) are available from pneumonia cases and most pneumococcal meningitis cases (>80%) are culture-negative. This study optimised a triplex PCR method to detect macrolide resistance genes (MRGs) (mefA and ermB) and cpsA from culture-negative pneumococcal cases to predict the prevalence and level of macrolide resistance.

METHODS:

The presence of MRGs among pneumococcal strains (n=153) with a wide range of erythromycin MICs (<0.5 to ≥256mg/L) was determined by PCR. Triplex PCR was validated by simultaneous detection of MRG(s) and cpsA in culture-negative clinical specimens and corresponding isolates. The known impact of the presence of specific MRG(s) on MICs of strains was used to predict the MICs of non-culturable strains based on the presence/absence of MRG(s) in the specimens.

RESULTS:

None of the erythromycin-susceptible isolates possessed any of the MRGs, and all non-susceptible strains had ≥1 MRG. MICs were 2-16mg/L and ≥256mg/L for 93% of strains with mefA and ermB, respectively, whereas 100% of isolates with both genes had MICs≥256mg/L. PCR for body fluids showed 100% concordance with corresponding isolates when tested for MRG(s) in parallel.

CONCLUSIONS:

Erythromycin MICs can be predicted for non-culturable strains with 93-100% precision based on detection of ermB and/or mefA. This method will be useful for establishing comprehensive surveillance for macrolide resistance among pneumococci, specifically in the population with prior antibiotic use.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Infecções Pneumocócicas / Streptococcus pneumoniae / Testes de Sensibilidade Microbiana / Meningites Bacterianas / Bacteriemia / Farmacorresistência Bacteriana / Reação em Cadeia da Polimerase Multiplex Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Infecções Pneumocócicas / Streptococcus pneumoniae / Testes de Sensibilidade Microbiana / Meningites Bacterianas / Bacteriemia / Farmacorresistência Bacteriana / Reação em Cadeia da Polimerase Multiplex Idioma: En Ano de publicação: 2017 Tipo de documento: Article