Design and performance testing of quantitative real time PCR assays for influenza A and B viral load measurement

Ward, Chantelle, Dempsey, Maria, Ring, Christopher J. ORCID logoORCID:, Kempson, R. E., Zhang, L. Q., Gor, D., Snowden, B. W. and Tisdale, Margaret (2004) Design and performance testing of quantitative real time PCR assays for influenza A and B viral load measurement. Journal of clinical virology, 29 (3) . pp. 179-188. ISSN 1386-6532 [Article] (doi:10.1016/S1386-6532(03)00122-7)

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Background: The antiviral effect of anti-influenza drugs such as zanamivir may be demonstrated in patients as an increased rate of decline in viral load over a time course of treatment as compared with placebo. Historically this was measured using plaque assays, or Culture Enhanced Enzyme Linked Immunosorbent Assay (CE-ELISA). Objectives: to develop and characterise real time quantitative PCR (qPCR) assays to measure influenza A and B viral load in clinical samples, that offer improvements over existing methods, in particular virus infectivity assays. Study design: The dynamic range and robustness were established for the real time qPCR assays along with stability of the assay components. Cross validation of the real time PCR assays with CE-ELISA was performed by parallel testing of both serial dilutions of three different subtypes of cultured virus and a panel of influenza positive throat swab specimens. Results: the assays were specific for influenza A and B and the dynamic ranges were at least seven logs. The assay variability was within acceptable limits but increased towards the lower limit of quantification, which was 3.33 log10 viral cDNA copies/ml of virus transport medium (ten viral RNA copies/PCR). The components of the assay were robust enough to withstand extended storage and several freeze–thawcycles. For the real time PCR assays the limit of quantification was equivalent to the virus infectivity cut off, which equates to a 93-fold increase in sensitivity. Conclusion: Well characterised real time PCR assays offer significant improvements over the existing methods for measuring the viral load of strains of influenza A and B in clinical specimens.

Item Type: Article
Research Areas: A. > School of Science and Technology > Computer Science
ISI Impact: 110
Item ID: 3879
Notes on copyright: Post refereed version as permitted by publisher.
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Depositing User: Mrs Sue Black
Date Deposited: 28 Jan 2010 17:15
Last Modified: 30 Nov 2022 02:30

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