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Development and validation of four one-step real-time RT-LAMP assays for specific detection of each dengue virus serotype

BACKGROUND: 4 one-step, real-time, reverse transcription loop-mediated isothermal amplification (RT-LAMP) assays were developed for the detection of dengue virus (DENV) serotypes by considering 2,056 full genome DENV sequences. DENV1 and DENV2 RT-LAMP assays were validated with 31 blood and 11 serum...

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Autores principales: Lopez-Jimena, Benjamin, Bekaert, Michaël, Bakheit, Mohammed, Frischmann, Sieghard, Patel, Pranav, Simon-Loriere, Etienne, Lambrechts, Louis, Duong, Veasna, Dussart, Philippe, Harold, Graham, Fall, Cheikh, Faye, Oumar, Sall, Amadou Alpha, Weidmann, Manfred
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5973574/
https://www.ncbi.nlm.nih.gov/pubmed/29813062
http://dx.doi.org/10.1371/journal.pntd.0006381
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author Lopez-Jimena, Benjamin
Bekaert, Michaël
Bakheit, Mohammed
Frischmann, Sieghard
Patel, Pranav
Simon-Loriere, Etienne
Lambrechts, Louis
Duong, Veasna
Dussart, Philippe
Harold, Graham
Fall, Cheikh
Faye, Oumar
Sall, Amadou Alpha
Weidmann, Manfred
author_facet Lopez-Jimena, Benjamin
Bekaert, Michaël
Bakheit, Mohammed
Frischmann, Sieghard
Patel, Pranav
Simon-Loriere, Etienne
Lambrechts, Louis
Duong, Veasna
Dussart, Philippe
Harold, Graham
Fall, Cheikh
Faye, Oumar
Sall, Amadou Alpha
Weidmann, Manfred
author_sort Lopez-Jimena, Benjamin
collection PubMed
description BACKGROUND: 4 one-step, real-time, reverse transcription loop-mediated isothermal amplification (RT-LAMP) assays were developed for the detection of dengue virus (DENV) serotypes by considering 2,056 full genome DENV sequences. DENV1 and DENV2 RT-LAMP assays were validated with 31 blood and 11 serum samples from Tanzania, Senegal, Sudan and Mauritania. DENV3 and DENV4 RT-LAMP assays were validated with 25 serum samples from Cambodia METHODOLOGY/PRINCIPAL FINDINGS: 4 final reaction primer mixes were obtained by using a combination of Principal Component Analysis of the full DENV genome sequences, and LAMP primer design based on sequence alignments using the LAVA software. These mixes contained 14 (DENV1), 12 (DENV2), 8 (DENV3) and 3 (DENV4) LAMP primer sets. The assays were evaluated with an External Quality Assessment panel from Quality Control for Molecular Diagnostics. The assays were serotype-specific and did not cross-detect with other flaviviruses. The limits of detection, with 95% probability, were 22 (DENV1), 542 (DENV2), 197 (DENV3) and 641 (DENV4) RNA molecules, and 100% reproducibility in the assays was obtained with up to 10(2) (DENV1) and 10(3) RNA molecules (DENV2, DENV3 and DENV4). Validation of the DENV2 assay with blood samples from Tanzania resulted in 23 samples detected by RT-LAMP, demonstrating that the assay is 100% specific and 95.8% sensitive (positive predictive value of 100% and a negative predictive value of 85.7%). All serum samples from Senegal, Sudan and Mauritania were detected and 3 untyped as DENV1. The sensitivity of RT-LAMP for DENV4 samples from Cambodia did not quite match qRT-PCR. CONCLUSIONS/SIGNIFICANCE: We have shown a novel approach to design LAMP primers that makes use of fast growing sequence databases. The DENV1 and DENV2 assays were validated with viral RNA extracted clinical samples, showing very good performance parameters.
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spelling pubmed-59735742018-06-08 Development and validation of four one-step real-time RT-LAMP assays for specific detection of each dengue virus serotype Lopez-Jimena, Benjamin Bekaert, Michaël Bakheit, Mohammed Frischmann, Sieghard Patel, Pranav Simon-Loriere, Etienne Lambrechts, Louis Duong, Veasna Dussart, Philippe Harold, Graham Fall, Cheikh Faye, Oumar Sall, Amadou Alpha Weidmann, Manfred PLoS Negl Trop Dis Research Article BACKGROUND: 4 one-step, real-time, reverse transcription loop-mediated isothermal amplification (RT-LAMP) assays were developed for the detection of dengue virus (DENV) serotypes by considering 2,056 full genome DENV sequences. DENV1 and DENV2 RT-LAMP assays were validated with 31 blood and 11 serum samples from Tanzania, Senegal, Sudan and Mauritania. DENV3 and DENV4 RT-LAMP assays were validated with 25 serum samples from Cambodia METHODOLOGY/PRINCIPAL FINDINGS: 4 final reaction primer mixes were obtained by using a combination of Principal Component Analysis of the full DENV genome sequences, and LAMP primer design based on sequence alignments using the LAVA software. These mixes contained 14 (DENV1), 12 (DENV2), 8 (DENV3) and 3 (DENV4) LAMP primer sets. The assays were evaluated with an External Quality Assessment panel from Quality Control for Molecular Diagnostics. The assays were serotype-specific and did not cross-detect with other flaviviruses. The limits of detection, with 95% probability, were 22 (DENV1), 542 (DENV2), 197 (DENV3) and 641 (DENV4) RNA molecules, and 100% reproducibility in the assays was obtained with up to 10(2) (DENV1) and 10(3) RNA molecules (DENV2, DENV3 and DENV4). Validation of the DENV2 assay with blood samples from Tanzania resulted in 23 samples detected by RT-LAMP, demonstrating that the assay is 100% specific and 95.8% sensitive (positive predictive value of 100% and a negative predictive value of 85.7%). All serum samples from Senegal, Sudan and Mauritania were detected and 3 untyped as DENV1. The sensitivity of RT-LAMP for DENV4 samples from Cambodia did not quite match qRT-PCR. CONCLUSIONS/SIGNIFICANCE: We have shown a novel approach to design LAMP primers that makes use of fast growing sequence databases. The DENV1 and DENV2 assays were validated with viral RNA extracted clinical samples, showing very good performance parameters. Public Library of Science 2018-05-29 /pmc/articles/PMC5973574/ /pubmed/29813062 http://dx.doi.org/10.1371/journal.pntd.0006381 Text en © 2018 Lopez-Jimena et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Lopez-Jimena, Benjamin
Bekaert, Michaël
Bakheit, Mohammed
Frischmann, Sieghard
Patel, Pranav
Simon-Loriere, Etienne
Lambrechts, Louis
Duong, Veasna
Dussart, Philippe
Harold, Graham
Fall, Cheikh
Faye, Oumar
Sall, Amadou Alpha
Weidmann, Manfred
Development and validation of four one-step real-time RT-LAMP assays for specific detection of each dengue virus serotype
title Development and validation of four one-step real-time RT-LAMP assays for specific detection of each dengue virus serotype
title_full Development and validation of four one-step real-time RT-LAMP assays for specific detection of each dengue virus serotype
title_fullStr Development and validation of four one-step real-time RT-LAMP assays for specific detection of each dengue virus serotype
title_full_unstemmed Development and validation of four one-step real-time RT-LAMP assays for specific detection of each dengue virus serotype
title_short Development and validation of four one-step real-time RT-LAMP assays for specific detection of each dengue virus serotype
title_sort development and validation of four one-step real-time rt-lamp assays for specific detection of each dengue virus serotype
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5973574/
https://www.ncbi.nlm.nih.gov/pubmed/29813062
http://dx.doi.org/10.1371/journal.pntd.0006381
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