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Cited by 264

The DOI matches its Crossref record; 31 of the 31 references it cites were found in a registry or an index.

Performance of the Trioplex real-time RT-PCR assay for detection of Zika, dengue, and chikungunya viruses

Open access
Santiago, Gilberto A., Vázquez, Jesús, Courtney, Sean, Matías, Katia Y., Andersen, Lauren E., Colón, Candimar, Butler, Angela E., Roulo, Rebecca, Bowzard, John, Villanueva, Julie M., Muñoz-Jordan, Jorge L.·2018·Nature Communications

Abstract

The emergence and spread of Zika virus (ZIKV) presented a challenge to the diagnosis of ZIKV infections in areas with transmission of dengue (DENV) and chikungunya (CHIKV) viruses. To facilitate detection of ZIKV infections, and differentiate these infections from DENV and CHIKV, we developed the Trioplex real-time RT-PCR assay (Trioplex assay). Here, we describe the optimization of multiplex and singleplex formats of the assay for a variety of chemistries and instruments to facilitate global standardization and implementation. We evaluated the analytical performance of all Trioplex modalities for detection of these three pathogens in serum and whole blood, and for ZIKV in urine. The limit of detection for the three viruses and in different RNA-extraction modalities is near 10 3 genome copy equivalents per milliliter (GCE/mL). Simultaneous testing of more than one specimen type from each patient provides a 6.4% additional diagnostic sensitivity. Overall, the high sensitivity of the Trioplex assay demonstrates the utility of this assay ascertaining Zika cases.

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Metadata

Authors
Santiago, G. A., Vázquez, J., Courtney, S., Matías, K. Y., Andersen, L. E., Colón, C., Butler, A. E., Roulo, R., Bowzard, J., Villanueva, J. M., & Muñoz-Jordan, J. L.
Venue
Nature Communications
Published
2018-04-11
Volume
9
Issue
1
Pages
1391-1391
ISSN
2041-1723 (ISSN-L)
OpenAlex
W2796800715
Cited by
264
References
31
FWCI
29.73
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Performance of the Trioplex real-time RT-PCR assay for detection of Zika, dengue, and chikungunya viruses. https://app.cochat.ai/papers/10.1038/s41467-018-03772-1
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Santiago, G. A., Vázquez, J., Courtney, S., Matías, K. Y., Andersen, L. E., Colón, C., Butler, A. E., Roulo, R., Bowzard, J., Villanueva, J. M., & Muñoz-Jordan, J. L. (2018). Performance of the Trioplex real-time RT-PCR assay for detection of Zika, dengue, and chikungunya viruses. Nature Communications. https://doi.org/10.1038/s41467-018-03772-1

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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