Development of a multiplex one step RT-PCR that detects eighteen respiratory viruses in clinical specimens and comparison with real time RT-PCR

被引:45
作者
Choudhary, Manohar L. [1 ]
Anand, Siddharth P. [1 ]
Heydari, Mostafa [1 ]
Rane, Grishma [1 ]
Potdar, Varsha A. [1 ]
Chadha, Mandeep S. [1 ]
Mishra, Akhilesh C. [1 ]
机构
[1] Natl Inst Virol, Influenza Div, Pune 411001, Maharashtra, India
关键词
Respiratory viruses; Multiplex RT-PCR; Real time RT-PCR; PRIMING OLIGONUCLEOTIDE SYSTEM; CONVENTIONAL VIRAL CULTURE; POLYMERASE-CHAIN-REACTION; ACID AMPLIFICATION TESTS; INFLUENZA-A VIRUSES; TRACT INFECTIONS; RAPID DETECTION; RNA VIRUSES; ASSAYS; CHILDREN;
D O I
10.1016/j.jviromet.2012.12.017
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Rapid and accurate diagnosis of viral respiratory infections is crucial for patient management. Multiplex reverse transcriptase polymerase chain reaction (mRT-PCR) is used increasingly to diagnose respiratory infections and has shown to be more sensitive than viral culture and antigen detection. Objective of the present study was to develop a one-step mRT-PCR that could detect 18 respiratory viruses in three sets. The method was compared with real time RT-PCR (rRT-PCR) for its sensitivity and specificity. Clinical specimens from 843 pediatric patients with respiratory symptoms were used in the study. 503 (59.7%) samples were detected positive by mRT-PCR. Of these 462(54.8%) exhibited presence of a single pathogen and 41 (4.9%) had multiple pathogens. rRT-PCR detected 439(52.1%) positive samples, where 419(49.7%) exhibited one virus and 20(2.4%) showed co-infections. Concordance between mRT-PCR and rRT-PCR was 91.9% and kappa correlation 0.837. Sensitivity and specificity of mRT-PCR were 99.5% and 83.7% while that of rRT-PCR was 86.9% and 99.4% respectively. Rhinovirus (17.2%) was the most frequently detected virus followed by respiratory syncytial virus B (15.4%), H1N1pdm09 (8.54%), parainfluenza virus-3 (5.8%) and metapneumovirus (5.2%). In conclusion, mRT-PCR is a rapid, cost effective, specific and highly sensitive method for detection of respiratory viruses. (C) 2013 Elsevier B.V. All rights reserved.
引用
收藏
页码:15 / 19
页数:5
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