Evidence map›Paper›PMID 30845653›Full record

ReviewViruses2019

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

Nathaniel M Byers, Amy C Fleshman, Rushika Perera, Claudia R Molins

Abstract readReview
In one paragraph

Review in Viruses, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

23 citing papers in PubMed.

  1. Article
  2. Observational
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. Differential genotypic signatures of Toll-like receptor polymorphisms among dengue-chikungunya mono- and co-infected Eastern Indian patients.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2021
    Article
  14. Review
  15. Review
  16. Review
  17. Review
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Nathaniel M ByersDivision of Vector-Borne Diseases, Centers for Disease Control and Prevention, Fort Collins, CO 80521, USA. ngv8@cdc.gov.
Amy C FleshmanDivision of Vector-Borne Diseases, Centers for Disease Control and Prevention, Fort Collins, CO 80521, USA. muj3@cdc.gov.
Rushika PereraArthropod-borne and Infectious Diseases Laboratory, Department of Microbiology, Immunology & Pathology, Colorado State University, Fort Collins, CO 80523-1692, USA. Rushika.Perera@colostate.edu.
Claudia R MolinsDivision of Vector-Borne Diseases, Centers for Disease Control and Prevention, Fort Collins, CO 80521, USA. CMolins@cdc.gov.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Host-Pathogen InteractionsMetabolomicsAnimalsArbovirus InfectionsChikungunya FeverChikungunya virusDengueDengue VirusHumansMass SpectrometryMetabolic Networks and PathwaysZika VirusZika Virus Infectionalphavirusarbovirusflaviviruslipidmetabolismmetabolomics

Identifiers

PMID30845653
PMCPMC6466193

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.