| Literature DB >> 30268947 |
Fanny Leon1, Albert Meyer2, Robin Reynier3, Emilie Blanc1, Lilian Bruyère-Ostells1, Jean-Charles Brès1, Yannick Simonin1, Sara Salinas1, Pierre Gallian4, Isabelle Leparc-Goffart5, Antoine Biron6, Myrielle Dupont-Rouzeyrol6, François Morvan2, Jean-Jacques Vasseur2, Vincent Foulongne1, Philippe Van de Perre1, Jean-François Cantaloube1, Chantal Fournier-Wirth7.
Abstract
Nucleic acid testing during the preseroconversion viremic phase is required to differentially diagnose arboviral infections. The continuing emergence of arboviruses, such as Zika virus (ZIKV), dengue virus (DENV), and chikungunya virus (CHIKV), necessitates the development of a flexible diagnostic approach. Similar clinical signs and the priority to protect pregnant women from ZIKV infection indicate that the differential diagnosis of arboviruses is essential for effective patient management, clinical care, and epidemiologic surveillance. We describe an innovative diagnostic approach that combines generic RT-PCR amplification and identification by hybridization to specific probes. Original tetrathiolated probes were designed for the robust, sensitive, and specific detection of amplified arboviral genomes. The limit of detection using cultured and quantified stocks of whole viruses was 1 TCID50/mL for DENV-1, DENV-3, and CHIKV and 10 TCID50/mL for DENV-2, DENV-4, and ZIKV. The assay had 100% specificity with no false-positive results. The approach was evaluated using 179 human samples that previously tested as positive for the presence of ZIKV, DENV, or CHIKV genomes. Accordingly, the diagnostic sensitivity for ZIKV, DENV, and CHIKV was 87.88% (n = 58/66), 96.67% (n = 58/60), and 94.34% (n = 50/53), respectively. This method could be easily adapted to include additional molecular targets. Moreover, this approach may also be adapted to develop highly specific, sensitive, and easy to handle platforms dedicated to the multiplex screening and identification of emerging viruses.Entities:
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Year: 2018 PMID: 30268947 DOI: 10.1016/j.jmoldx.2018.08.005
Source DB: PubMed Journal: J Mol Diagn ISSN: 1525-1578 Impact factor: 5.568