<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Madina Rasulova</style></author><author><style face="normal" font="default" size="100%">Thomas Vercruysse</style></author><author><style face="normal" font="default" size="100%">Jasmine Paulissen</style></author><author><style face="normal" font="default" size="100%">Catherina Coun</style></author><author><style face="normal" font="default" size="100%">Vanessa Suin</style></author><author><style face="normal" font="default" size="100%">Heyndrickx, Leo</style></author><author><style face="normal" font="default" size="100%">Ji Ma</style></author><author><style face="normal" font="default" size="100%">Katrien Geerts</style></author><author><style face="normal" font="default" size="100%">Jolien Timmermans</style></author><author><style face="normal" font="default" size="100%">Niraj Mishra</style></author><author><style face="normal" font="default" size="100%">Li, Li-Hsin</style></author><author><style face="normal" font="default" size="100%">Dieudonné Buh Kum</style></author><author><style face="normal" font="default" size="100%">Lotte Coelmont</style></author><author><style face="normal" font="default" size="100%">Steven Van Gucht</style></author><author><style face="normal" font="default" size="100%">Hadi Karimzadeh</style></author><author><style face="normal" font="default" size="100%">Julia Thorn-Seshold</style></author><author><style face="normal" font="default" size="100%">Simon Rothenfußer</style></author><author><style face="normal" font="default" size="100%">Ariën, Kevin K</style></author><author><style face="normal" font="default" size="100%">Neyts, Johan</style></author><author><style face="normal" font="default" size="100%">Kai Dallmeier</style></author><author><style face="normal" font="default" size="100%">Hendrik Jan Thibaut</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">A High-Throughput Yellow Fever Neutralization Assay.</style></title><secondary-title><style face="normal" font="default" size="100%">Microbiol Spectr</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Antibodies, Neutralizing</style></keyword><keyword><style  face="normal" font="default" size="100%">Antibodies, Viral</style></keyword><keyword><style  face="normal" font="default" size="100%">Encephalitis, Japanese</style></keyword><keyword><style  face="normal" font="default" size="100%">Humans</style></keyword><keyword><style  face="normal" font="default" size="100%">Neutralization Tests</style></keyword><keyword><style  face="normal" font="default" size="100%">Yellow Fever</style></keyword><keyword><style  face="normal" font="default" size="100%">Yellow fever virus</style></keyword><keyword><style  face="normal" font="default" size="100%">Zika virus</style></keyword><keyword><style  face="normal" font="default" size="100%">Zika Virus Infection</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2022</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2022 06 29</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">10</style></volume><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Quick and accurate detection of neutralizing antibodies (nAbs) against yellow fever is essential in serodiagnosis during outbreaks for surveillance and to evaluate vaccine efficacy in population-wide studies. All of this requires serological assays that can process a large number of samples in a highly standardized format. Albeit being laborious, time-consuming, and limited in throughput, the classical plaque reduction neutralization test (PRNT) is still considered the gold standard for the detection and quantification of nAbs due to its sensitivity and specificity. Here, we report the development of an alternative fluorescence-based serological assay (SNT) with an equally high sensitivity and specificity that is fit for high-throughput testing with the potential for automation. Finally, our novel SNT was cross-validated in several reference laboratories and against international WHO standards, showing its potential to be implemented in clinical use. SNT assays with similar performance are available for the Japanese encephalitis, Zika, and dengue viruses amenable to differential diagnostics. Fast and accurate detection of neutralizing antibodies (nAbs) against yellow fever virus (YFV) is key in yellow fever serodiagnosis, outbreak surveillance, and monitoring of vaccine efficacy. Although classical PRNT remains the gold standard for measuring YFV nAbs, this methodology suffers from inherent limitations such as low throughput and overall high labor intensity. We present a novel fluorescence-based serum neutralization test (SNT) with equally high sensitivity and specificity that is fit for processing a large number of samples in a highly standardized manner and has the potential to be implemented for clinical use. In addition, we present SNT assays with similar performance for Japanese encephalitis, Zika, and dengue viruses, opening new avenues for differential diagnostics.&lt;/p&gt;
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