Literature DB >> 23911293

Evaluation of the TRCRtest NV-W for norovirus detection in stools by the Transcription-Reverse Transcription Concerted method.

Maria Cristina Medici1, Fabio Tummolo, Valeria Albonetti, Federica Pinardi, Francesca Ferraglia, Carlo Chezzi, Maria Cristina Arcangeletti, Flora De Conto, Adriana Calderaro.   

Abstract

A novel molecular assay, TRCRtest NV-W, based on a transcription-reverse transcription concerted reaction (TRC) for isothermal amplification and real-time detection of norovirus in stools was assessed and compared with an RT-nPCR. Archived stools positive for either different types or variants of norovirus genogroups I and II or other enteric viruses were used to assess the sensitivity and specificity of the novel assay. The TRC assay was 100% specific since it detected all the noroviruses tested and it did not display cross reactivity with other enteric viruses. When screening a collection of 387 stools with the TRC and RT-nPCR assays, the TRC displayed concordance, sensitivity, specificity, positive and negative predictive values of 96.6%, 81%, 99.7%, 98.1%, and 96.3%, respectively, after retesting the negative specimens. Additional PCRs and/or sequencing, used to understand inconsistent results between TRC and RT-nPCR, confirmed all positive results and did not reveal nucleotide variations in the TRC probe and primers binding sites. The TRC assay may be a rapid and ease of use tool for the detection of noroviruses in clinical virology laboratories even in the face of rapidly evolving noroviruses.
Copyright © 2013 Elsevier B.V. All rights reserved.

Keywords:  EM; Enteritis; G; NoV; Norovirus; Rapid diagnosis; TRC; TRC method; electron microscopy; genogroup; norovirus; transcription-reverse transcription concerted reaction; v.; variant

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Year:  2013        PMID: 23911293     DOI: 10.1016/j.jviromet.2013.07.036

Source DB:  PubMed          Journal:  J Virol Methods        ISSN: 0166-0934            Impact factor:   2.014


  1 in total

Review 1.  Recent Developments in Isothermal Amplification Methods for the Detection of Foodborne Viruses.

Authors:  Cassandra Suther; Sloane Stoufer; Yanjiao Zhou; Matthew D Moore
Journal:  Front Microbiol       Date:  2022-03-03       Impact factor: 5.640

  1 in total

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