Multiplex targeted mass spectrometry assay for one-shot flavivirus diagnosis

Targeted proteomic mass spectrometry is emerging as a salient clinical diagnostic tool to track protein biomarkers. However, its strong analytical properties have not been exploited in the diagnosis and typing of flaviviruses. Here, we report the development of a sensitive and specific single-shot r...

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Bibliographic Details
Published in:	Proceedings of the National Academy of Sciences - PNAS 2019-04, Vol.116 (14), p.6754-6759
Main Authors:	Wee, Sheena, Alli-Shaik, Asfa, Kek, Relus, Swa, Hannah L. F., Tien, Wei-Ping, Lim, Vanessa W., Leo, Yee-Sin, Ng, Lee-Ching, Hapuarachchi, Hapuarachchige C., Gunaratne, Jayantha
Format:	Article
Language:	eng
Subjects:	Assaying Biological Sciences Biomarkers Dengue - blood Dengue - diagnosis Dengue Virus Diagnosis Diagnostic software Diagnostic systems Disease control Female Glycoproteins - blood Humans Ions Male Mass spectrometry Mass Spectrometry - methods Mass spectroscopy Multiplexing Outbreaks Proteins Proteomics - methods Scientific imaging Spectroscopy Typing Viral Nonstructural Proteins - blood
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Summary:	Targeted proteomic mass spectrometry is emerging as a salient clinical diagnostic tool to track protein biomarkers. However, its strong analytical properties have not been exploited in the diagnosis and typing of flaviviruses. Here, we report the development of a sensitive and specific single-shot robust assay for flavivirus typing and diagnosis using targeted mass spectrometry technology. Our flavivirus parallel reaction monitoring assay (fvPRM) has the ability to track secreted flaviviral nonstructural protein 1 (NS1) over a broad diagnostic and typing window with high sensitivity, specificity, extendibility, and multiplexing capability. These features, pivotal and pertinent to efficient response toward flavivirus outbreaks, including newly emerging flavivirus strains, circumvent the limitations of current diagnostic assays. fvPRM thus carries high potential in positioning itself as a forerunner in delivering early and accurate diagnosis for disease management.
ISSN:	0027-8424 1091-6490