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Assay optimization for molecular detection of Zika virus

OBJECTIVE: To examine the diagnostic performance of real-time reverse transcription (RT)-polymerase chain reaction (PCR) assays for Zika virus detection. METHODS: We compared seven published real-time RT–PCR assays and two new assays that we have developed. To determine the analytical sensitivity of...

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Autores principales: Corman, Victor M, Rasche, Andrea, Baronti, Cecile, Aldabbagh, Souhaib, Cadar, Daniel, Reusken, Chantal BEM, Pas, Suzan D, Goorhuis, Abraham, Schinkel, Janke, Molenkamp, Richard, Kümmerer, Beate M, Bleicker, Tobias, Brünink, Sebastian, Eschbach-Bludau, Monika, Eis-Hübinger, Anna M, Koopmans, Marion P, Schmidt-Chanasit, Jonas, Grobusch, Martin P, de Lamballerie, Xavier, Drosten, Christian, Drexler, Jan Felix
Formato: Online Artículo Texto
Lenguaje:English
Publicado: World Health Organization 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5153932/
https://www.ncbi.nlm.nih.gov/pubmed/27994281
http://dx.doi.org/10.2471/BLT.16.175950
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author Corman, Victor M
Rasche, Andrea
Baronti, Cecile
Aldabbagh, Souhaib
Cadar, Daniel
Reusken, Chantal BEM
Pas, Suzan D
Goorhuis, Abraham
Schinkel, Janke
Molenkamp, Richard
Kümmerer, Beate M
Bleicker, Tobias
Brünink, Sebastian
Eschbach-Bludau, Monika
Eis-Hübinger, Anna M
Koopmans, Marion P
Schmidt-Chanasit, Jonas
Grobusch, Martin P
de Lamballerie, Xavier
Drosten, Christian
Drexler, Jan Felix
author_facet Corman, Victor M
Rasche, Andrea
Baronti, Cecile
Aldabbagh, Souhaib
Cadar, Daniel
Reusken, Chantal BEM
Pas, Suzan D
Goorhuis, Abraham
Schinkel, Janke
Molenkamp, Richard
Kümmerer, Beate M
Bleicker, Tobias
Brünink, Sebastian
Eschbach-Bludau, Monika
Eis-Hübinger, Anna M
Koopmans, Marion P
Schmidt-Chanasit, Jonas
Grobusch, Martin P
de Lamballerie, Xavier
Drosten, Christian
Drexler, Jan Felix
author_sort Corman, Victor M
collection PubMed
description OBJECTIVE: To examine the diagnostic performance of real-time reverse transcription (RT)-polymerase chain reaction (PCR) assays for Zika virus detection. METHODS: We compared seven published real-time RT–PCR assays and two new assays that we have developed. To determine the analytical sensitivity of each assay, we constructed a synthetic universal control ribonucleic acid (uncRNA) containing all of the assays’ target regions on one RNA strand and spiked human blood or urine with known quantities of African or Asian Zika virus strains. Viral loads in 33 samples from Zika virus-infected patients were determined by using one of the new assays. FINDINGS: Oligonucleotides of the published real-time RT–PCR assays, showed up to 10 potential mismatches with the Asian lineage causing the current outbreak, compared with 0 to 4 mismatches for the new assays. The 95% lower detection limit of the seven most sensitive assays ranged from 2.1 to 12.1 uncRNA copies/reaction. Two assays had lower sensitivities of 17.0 and 1373.3 uncRNA copies/reaction and showed a similar sensitivity when using spiked samples. The mean viral loads in samples from Zika virus-infected patients were 5 × 10(4) RNA copies/mL of blood and 2 × 10(4) RNA copies/mL of urine. CONCLUSION: We provide reagents and updated protocols for Zika virus detection suitable for the current outbreak strains. Some published assays might be unsuitable for Zika virus detection, due to the limited sensitivity and potential incompatibility with some strains. Viral concentrations in the clinical samples were close to the technical detection limit, suggesting that the use of insensitive assays will cause false-negative results.
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spelling pubmed-51539322016-12-19 Assay optimization for molecular detection of Zika virus Corman, Victor M Rasche, Andrea Baronti, Cecile Aldabbagh, Souhaib Cadar, Daniel Reusken, Chantal BEM Pas, Suzan D Goorhuis, Abraham Schinkel, Janke Molenkamp, Richard Kümmerer, Beate M Bleicker, Tobias Brünink, Sebastian Eschbach-Bludau, Monika Eis-Hübinger, Anna M Koopmans, Marion P Schmidt-Chanasit, Jonas Grobusch, Martin P de Lamballerie, Xavier Drosten, Christian Drexler, Jan Felix Bull World Health Organ Research OBJECTIVE: To examine the diagnostic performance of real-time reverse transcription (RT)-polymerase chain reaction (PCR) assays for Zika virus detection. METHODS: We compared seven published real-time RT–PCR assays and two new assays that we have developed. To determine the analytical sensitivity of each assay, we constructed a synthetic universal control ribonucleic acid (uncRNA) containing all of the assays’ target regions on one RNA strand and spiked human blood or urine with known quantities of African or Asian Zika virus strains. Viral loads in 33 samples from Zika virus-infected patients were determined by using one of the new assays. FINDINGS: Oligonucleotides of the published real-time RT–PCR assays, showed up to 10 potential mismatches with the Asian lineage causing the current outbreak, compared with 0 to 4 mismatches for the new assays. The 95% lower detection limit of the seven most sensitive assays ranged from 2.1 to 12.1 uncRNA copies/reaction. Two assays had lower sensitivities of 17.0 and 1373.3 uncRNA copies/reaction and showed a similar sensitivity when using spiked samples. The mean viral loads in samples from Zika virus-infected patients were 5 × 10(4) RNA copies/mL of blood and 2 × 10(4) RNA copies/mL of urine. CONCLUSION: We provide reagents and updated protocols for Zika virus detection suitable for the current outbreak strains. Some published assays might be unsuitable for Zika virus detection, due to the limited sensitivity and potential incompatibility with some strains. Viral concentrations in the clinical samples were close to the technical detection limit, suggesting that the use of insensitive assays will cause false-negative results. World Health Organization 2016-12-01 /pmc/articles/PMC5153932/ /pubmed/27994281 http://dx.doi.org/10.2471/BLT.16.175950 Text en (c) 2016 The authors; licensee World Health Organization. This is an open access article distributed under the terms of the Creative Commons Attribution IGO License (http://creativecommons.org/licenses/by/3.0/igo/legalcode), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. In any reproduction of this article there should not be any suggestion that WHO or this article endorse any specific organization or products. The use of the WHO logo is not permitted. This notice should be preserved along with the article's original URL.
spellingShingle Research
Corman, Victor M
Rasche, Andrea
Baronti, Cecile
Aldabbagh, Souhaib
Cadar, Daniel
Reusken, Chantal BEM
Pas, Suzan D
Goorhuis, Abraham
Schinkel, Janke
Molenkamp, Richard
Kümmerer, Beate M
Bleicker, Tobias
Brünink, Sebastian
Eschbach-Bludau, Monika
Eis-Hübinger, Anna M
Koopmans, Marion P
Schmidt-Chanasit, Jonas
Grobusch, Martin P
de Lamballerie, Xavier
Drosten, Christian
Drexler, Jan Felix
Assay optimization for molecular detection of Zika virus
title Assay optimization for molecular detection of Zika virus
title_full Assay optimization for molecular detection of Zika virus
title_fullStr Assay optimization for molecular detection of Zika virus
title_full_unstemmed Assay optimization for molecular detection of Zika virus
title_short Assay optimization for molecular detection of Zika virus
title_sort assay optimization for molecular detection of zika virus
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5153932/
https://www.ncbi.nlm.nih.gov/pubmed/27994281
http://dx.doi.org/10.2471/BLT.16.175950
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