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. 2016 Jan 31;10(1):53-61.
doi: 10.3855/jidc.5647.

A duplex real-time PCR for the detection of Streptococcus pneumoniae and Neisseria meningitidis in cerebrospinal fluid

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Free article

A duplex real-time PCR for the detection of Streptococcus pneumoniae and Neisseria meningitidis in cerebrospinal fluid

Idrissa Diawara et al. J Infect Dev Ctries. .
Free article

Abstract

Introduction: Acute bacterial meningitis is one of the most severe infectious diseases. Rapid, accurate, and inexpensive diagnosis of bacterial meningitis is crucial for patient management. This study describes a duplex real-time (RT) PCR assay for detection of Neisseria meningitidis and Streptococcus pneumoniae in the cerebrospinal fluid (CSF) for meningitis diagnosis using SYBR Green-based RT-PCR method coupled with melting curve analysis.

Methodology: We used SYBR Green-based RT-PCR method coupled with melting curve analysis to detect S. pneumoniae and N. meningitidis in CSF samples. The sensitivity, specificity, and limit of detection were determined. The gold standard for routine tests of CSF analysis is direct examination, culture, and/or latex agglutination. The assay was evaluated on 132 CSF samples to measure clinical sensitivity.

Results: A duplex RT-PCR assay for N. meningitidis and S. pneumoniae detection in CSF was evaluated. Two peaks at different melting temperatures (87.5°C and 85.5°C) for N. meningitidis and S. pneumoniae, respectively, were obtained. The sensitivity of RT-PCR was 100% (95% confidence limits [CI] = 82.4-100) for N. meningitidis and 100% (95% CI = 85.1-100) for S. pneumoniae. Specificity was the same (100%) for the bacteria (95% CI = 88.6-100). The percentage of cases accurately diagnosed with meningitis caused by N. meningitidis and S. pneumoniae increased to 50.7% and 28.6%, respectively, when RT-PCR was added to the standard microbiologic methods.

Conclusions: Duplex RT-PCR and melting curve analysis with SYBR Green is an inexpensive, sensitive, and specific method to rapidly diagnose bacterial meningitis. Accurate identification of the bacterial causative agents will improve patient management and epidemiological investigations.

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