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Published in: BMC Infectious Diseases 1/2016

Open Access 01-12-2016 | Research article

The use of digital PCR to improve the application of quantitative molecular diagnostic methods for tuberculosis

Authors: Alison S. Devonshire, Denise M. O’Sullivan, Isobella Honeyborne, Gerwyn Jones, Maria Karczmarczyk, Jernej Pavšič, Alice Gutteridge, Mojca Milavec, Pablo Mendoza, Heinz Schimmel, Fran Van Heuverswyn, Rebecca Gorton, Daniela Maria Cirillo, Emanuele Borroni, Kathryn Harris, Marinus Barnard, Anthenette Heydenrych, Norah Ndusilo, Carole L. Wallis, Keshree Pillay, Thomas Barry, Kate Reddington, Elvira Richter, Erkan Mozioğlu, Sema Akyürek, Burhanettin Yalçınkaya, Muslum Akgoz, Jana Žel, Carole A. Foy, Timothy D. McHugh, Jim F. Huggett

Published in: BMC Infectious Diseases | Issue 1/2016

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Abstract

Background

Real-time PCR (qPCR) based methods, such as the Xpert MTB/RIF, are increasingly being used to diagnose tuberculosis (TB). While qualitative methods are adequate for diagnosis, the therapeutic monitoring of TB patients requires quantitative methods currently performed using smear microscopy. The potential use of quantitative molecular measurements for therapeutic monitoring has been investigated but findings have been variable and inconclusive. The lack of an adequate reference method and reference materials is a barrier to understanding the source of such disagreement. Digital PCR (dPCR) offers the potential for an accurate method for quantification of specific DNA sequences in reference materials which can be used to evaluate quantitative molecular methods for TB treatment monitoring.

Methods

To assess a novel approach for the development of quality assurance materials we used dPCR to quantify specific DNA sequences in a range of prototype reference materials and evaluated accuracy between different laboratories and instruments. The materials were then also used to evaluate the quantitative performance of qPCR and Xpert MTB/RIF in eight clinical testing laboratories.

Results

dPCR was found to provide results in good agreement with the other methods tested and to be highly reproducible between laboratories without calibration even when using different instruments. When the reference materials were analysed with qPCR and Xpert MTB/RIF by clinical laboratories, all laboratories were able to correctly rank the reference materials according to concentration, however there was a marked difference in the measured magnitude.

Conclusions

TB is a disease where the quantification of the pathogen could lead to better patient management and qPCR methods offer the potential to rapidly perform such analysis. However, our findings suggest that when precisely characterised materials are used to evaluate qPCR methods, the measurement result variation is too high to determine whether molecular quantification of Mycobacterium tuberculosis would provide a clinically useful readout. The methods described in this study provide a means by which the technical performance of quantitative molecular methods can be evaluated independently of clinical variability to improve accuracy of measurement results. These will assist in ultimately increasing the likelihood that such approaches could be used to improve patient management of TB.
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Metadata
Title
The use of digital PCR to improve the application of quantitative molecular diagnostic methods for tuberculosis
Authors
Alison S. Devonshire
Denise M. O’Sullivan
Isobella Honeyborne
Gerwyn Jones
Maria Karczmarczyk
Jernej Pavšič
Alice Gutteridge
Mojca Milavec
Pablo Mendoza
Heinz Schimmel
Fran Van Heuverswyn
Rebecca Gorton
Daniela Maria Cirillo
Emanuele Borroni
Kathryn Harris
Marinus Barnard
Anthenette Heydenrych
Norah Ndusilo
Carole L. Wallis
Keshree Pillay
Thomas Barry
Kate Reddington
Elvira Richter
Erkan Mozioğlu
Sema Akyürek
Burhanettin Yalçınkaya
Muslum Akgoz
Jana Žel
Carole A. Foy
Timothy D. McHugh
Jim F. Huggett
Publication date
01-12-2016
Publisher
BioMed Central
Published in
BMC Infectious Diseases / Issue 1/2016
Electronic ISSN: 1471-2334
DOI
https://doi.org/10.1186/s12879-016-1696-7

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