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Sci Rep . A rapid influenza diagnostic test based on detection of viral neuraminidase activity

tetano

Editor, Senior Moderator
Sci Rep


. 2022 Jan 11;12(1):505.
doi: 10.1038/s41598-021-04538-4.
A rapid influenza diagnostic test based on detection of viral neuraminidase activity


Xuexiang Lin[SUP] 1 2 3 [/SUP], Xiao-Yu Liu[SUP] 3 4 [/SUP], Bo Zhang[SUP] 3 [/SUP], Ai-Qing Qin[SUP] 3 [/SUP], Kwok-Min Hui[SUP] 3 [/SUP], Kevin Shi[SUP] 3 [/SUP], Yang Liu[SUP] 3 [/SUP], Don Gabriel[SUP] 3 [/SUP], X James Li[SUP] 5 [/SUP]



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Free PMC article

Abstract

Current methods used for diagnosis of acute infection of pathogens rely on detection of nucleic acids, antigens, or certain classes of antibodies such as IgM. Here we report a virus enzyme assay as an alternative to these methods for detection of acute viral infection. In this method, we used a luciferin derivative as the substrate for detection of the enzyme activity of influenza viral neuraminidase as a means for diagnosis of influenza. The resulting commercial test, the qFLU Dx Test, uses a different supply chain that does not compete with those for the current tests. The assay reagents were formulated as a master mix that accommodated both the neuraminidase and luciferase reactions, thereby enabling rapid and prolonged production of stable light signal in the presence of influenza virus in the sample. The assay was evaluated using depository throat swab specimens. As expected, the assay exhibited similar detection rates for all influenza types and subtypes except for A(H7N9), which exhibited lower detection rate due to lower viral titer in the specimens. When throat swab specimens were diluted with the sample buffer of the test kit and tested with the qFLU Dx Test. The sensitivity and specificity were 82.41% (95% confidence interval: 79.66-85.84%) and 95.39% (95% confidence interval: 94.32-96.46%), respectively, for these diluted specimens in comparison to a real-time polymerase chain reaction assay. The uniqueness of the qFLU Dx Test as an enzymatic assay makes it highly complementary with currently available methods.
 
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