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PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
1
pubmed:dateCreated
2010-3-31
pubmed:abstractText
Chikungunya is one of the most important emerging arboviral infections of public health significance. Due to lack of a licensed vaccine, rapid diagnosis plays an important role in early management of patients. In this study, a QC-RT-PCR assay was developed to quantify Chikungunya virus (CHIKV) RNA by targeting the conserved region of E1 gene. A competitor molecule containing an internal insertion was generated, which provided a stringent control of the quantification process. The introduction of 10-fold serially diluted competitor in each reaction was further used to determine sensitivity. The applicability of this assay for quantification of CHIKV RNA was evaluated with human clinical samples, and the results were compared with real-time quantitative RT-PCR. The sensitivity of this assay was estimated to be 100 RNA copies per reaction with a dynamic detection range of 10(2) to 10(10) copies. Specificity was confirmed using closely related alpha and flaviviruses. The comparison of QC-RT-PCR result with real-time RT-PCR revealed 100% concordance for the detection of CHIKV in clinical samples. These findings demonstrated that the reported assay is convenient, sensitive and accurate method and has the potential usefulness for clinical diagnosis due to simultaneous detection and quantification of CHIKV in acute-phase serum samples.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
May
pubmed:issn
1559-0305
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
45
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
49-55
pubmed:meshHeading
pubmed:year
2010
pubmed:articleTitle
Development of a quantitative competitive reverse transcription polymerase chain reaction (QC-RT-PCR) for detection and quantitation of Chikungunya virus.
pubmed:affiliation
Division of Virology, Defence Research & Development Establishment (DRDE), Gwalior, MP, India.
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't