Title Critical analysis of rhinovirus RNA load quantification by real-time reverse transcription-PCR.
Author Schibler, Manuel; Yerly, Sabine; Vieille, Gael; Docquier, Mylene; Turin, Lara; Kaiser, Laurent; Tapparel, Caroline
Journal J Clin Microbiol Publication Year/Month 2012-Sep
PMID 22718934 PMCID PMC3421824
Affiliation 1.Laboratory of Virology, Division of Infectious Diseases and Division of Laboratory Medicine, University of Geneva Hospitals, Geneva, Switzerland. manuel.schibler@hcuge.ch.

Rhinoviruses are the most frequent cause of human respiratory infections, and quantitative rhinovirus diagnostic tools are needed for clinical investigations. Although results obtained by real-time reverse-transcription PCR (RT-PCR) assays are frequently converted to viral RNA loads, this presents several limitations regarding accurate virus RNA quantification, particularly given the need to reliably quantify all known rhinovirus genotypes with a single assay. Using an internal extraction control and serial dilutions of an in vitro-transcribed rhinovirus RNA reference standard, we validated a quantitative one-step real-time PCR assay. We then used chimeric rhinovirus genomes with 5\'-untranslated regions (5\'UTRs) originating from the three rhinovirus species and from one enterovirus to estimate the impact of the 5\'UTR diversity. Respiratory specimens from infected patients were then also analyzed. The assay quantification ability ranged from 4.10 to 9.10 log RNA copies/ml, with an estimated error margin of +/-10%. This variation was mainly linked to target variability and interassay variability. Taken together, our results indicate that our assay can reliably estimate rhinovirus RNA load, provided that the appropriate error margin is used. In contrast, due to the lack of a universal rhinovirus RNA standard and the variability related to sample collection procedures, accurate absolute rhinovirus RNA quantification in respiratory specimens is currently hardly feasible.

  • Copyright © 2023
    National Institute of Pathogen Biology, CAMS & PUMC, Bejing, China
    All rights reserved.