Metabolomics Approach for Investigation of Effects of Dengue Virus Infection Using the EA.hy926 Cell Line
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Date
2010
Journal Title
Journal ISSN
Volume Title
Publisher
Journal of proteome research
Abstract
This paper describes a multiplatform analytical approach combining proton nuclear magnetic resonance
(1H NMR) spectroscopy and mass spectrometry (MS), together with pattern recognition tools in a
metabolomic study used to investigate the effects of dengue virus infection. The four serotypes of
dengue, DEN-1, DEN-2, DEN-3, and DEN-4, were inoculated into the EA.hy926 cell line, which was then
incubated for various time intervals. Principal component analysis (PCA) of the 1H NMR and MS data
revealed metabolic profile patterns or fingerprint patterns that can be attributed to specific virus
serotypes. Distinct effects of infection by each serotype were demonstrated, and these differences were
attributed to changes in levels of metabolites (including amino acids, dicarboxylic acids, fatty acids,
and organic acids related to the tricarboxylic acid (TCA) cycle). The study demonstrated application of
metabolomics to improve understanding of the effect of dengue infection on endothelial cells’
metabolome.
Description
Keywords
Dengue, Metabolomics, Metabolic profiling, EA.hy926, 1H NMR, MS
Citation
Birungi, G., Chen, S. M., Loy, B. P., Ng, M. L., & Li, S. F. Y. (2010). Metabolomics approach for investigation of effects of dengue virus infection using the EA. hy926 cell line. Journal of proteome research, 9(12), 6523-6534. Doi: 10.1021/pr100727m