ArticleBMC infectious diseases2016
The use of digital PCR to improve the application of quantitative molecular diagnostic methods for tuberculosis.
Article in BMC infectious diseases, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.
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Who cites it
29 citing papers in PubMed, 1 synthesis or guideline pooled it, 53 citations in OpenAlex.
- Droplet digital PCR vs. quantitative real time-PCR for diagnosis of pulmonary and extrapulmonary tuberculosis: systematic review and meta-analysis.Frontiers in medicine · 2023Pooled it
- Advancing the fight against tuberculosis: integrating innovation and public health in diagnosis, treatment, vaccine development, and implementation science.Frontiers in medicine · 2025Review
- Metrological evaluation of DNA extraction method effects on the bacterial microbiome and resistome in sputum.mSystems · 2024Article
- Evolution of tuberculosis diagnostics: From molecular strategies to nanodiagnostics.Tuberculosis (Edinburgh, Scotland) · 2023Review
- Evaluation of DNA Extraction Methods for Reliable Quantification ofBiosensors · 2023Article
- Development of Digital Droplet PCR Targeting the Influenza H3N2 Oseltamivir-Resistant E119V Mutation and Its Performance through the Use of Reverse Genetics Mutants.Current issues in molecular biology · 2023Article
- Detection ofPathogens (Basel, Switzerland) · 2023Article
- Next-Generation Digital Polymerase Chain Reaction: High-Dynamic-Range Single-Molecule DNA Counting via Ultrapartitioning.Analytical chemistry · 2022Article
- Development of a droplet digital PCR assay for quantification of the proviral load of bovine leukemia virus.Journal of veterinary diagnostic investigation : official publication of the American Association of Veterinary Laboratory Diagnosticians, Inc · 2022Article
- MOVER approximated CV: A tool for quantifying precision in ratiometric droplet digital PCR assays.Journal of pharmaceutical and biomedical analysis · 2022Article
- Culture-Free Enumeration ofMicroorganisms · 2022Article
- Metrological framework to support accurate, reliable, and reproducible nucleic acid measurements.Analytical and bioanalytical chemistry · 2022Review
- Application of Droplet Digital PCR to Detection ofInfection and drug resistance · 2022Review
- Duplex dPCR System for Rapid Identification of Gram-Negative Pathogens in the Blood of Patients with Bloodstream Infection: A Culture-Independent Approach.Journal of microbiology and biotechnology · 2021Article
- Using genomic DNA copies to enumerate Mycobacterium tuberculosis load in macaque tissue samples.Tuberculosis (Edinburgh, Scotland) · 2021Article
- Fast detection of SARS-CoV-2 RNA via the integration of plasmonic thermocycling and fluorescence detection in a portable device.Nature biomedical engineering · 2020Article
- Evaluation of digital PCR assay in detection of M.tuberculosis IS6110 and IS1081 in tuberculosis patients plasma.BMC infectious diseases · 2020Article
- Review
- Use of Digital Technology to Enhance Tuberculosis Control: Scoping Review.Journal of medical Internet research · 2020Article
- Detection of KRAS mutations in plasma cell-free DNA of colorectal cancer patients and comparison with cancer panel data for tissue samples of the same cancers.Genomics & informatics · 2019Article
Corrections and comments
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Authors and funding
31 authors at 12 institutions in 8 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundReal-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.
methodsTo 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.
resultsdPCR 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.
conclusionsTB 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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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.