Metabolomic Insights into Human Arboviral Infections: Dengue, Chikungunya, and Zika Viruses

Details

• Alternative Title:
  Viruses
• Personal Author:
  Byers, Nathaniel M. ; Fleshman, Amy C. ; Perera, Rushika ; Molins, Claudia R.
• Description:
  The global burden of arboviral diseases and the limited success in controlling them calls for innovative methods to understand arbovirus infections. Metabolomics has been applied to detect alterations in host physiology during infection. This approach relies on mass spectrometry or nuclear magnetic resonance spectroscopy to evaluate how perturbations in biological systems alter metabolic pathways, allowing for differentiation of closely related conditions. Because viruses heavily depend on host resources and pathways, they present unique challenges for characterizing metabolic changes. Here, we review the literature on metabolomics of arboviruses and focus on the interpretation of identified molecular features. Metabolomics has revealed biomarkers that differentiate disease states and outcomes, and has shown similarities in metabolic alterations caused by different viruses (e.g., lipid metabolism). Researchers investigating such metabolomic alterations aim to better understand host⁻virus dynamics, identify diagnostically useful molecular features, discern perturbed pathways for therapeutics, and guide further biochemical research. This review focuses on lessons derived from metabolomics studies on samples from arbovirus-infected humans.
• Subjects:
  Alphavirus Animals Arbovirus Arbovirus Infections Chikungunya Fever Chikungunya Virus Dengue Dengue Virus Flavivirus Host-Pathogen Interactions Humans Lipid Mass Spectrometry Metabolic Networks And Pathways Metabolism Metabolomics Review Zika Virus Zika Virus Infection

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• Source:
  Viruses. 2019; 11(3)
• Document Type:
  Journal Article
• Volume:
  11
• Issue:
  3
• Collection(s):
  CDC Public Access
• Main Document Checksum:
  urn:sha-512:b07adf3a8b9e2420122e9a2d8b8f70a9c67643817400e0b964d1b9cf9e31b725a8e5b6ce3c8f81df7efde7394a3cc07e0bd07c9a41059e44d7a19367c76472ea
• Download URL:
  https://stacks.cdc.gov/view/cdc/77775/cdc_77775_DS1.pdf
• File Type:
  [PDF - 1.82 MB ]