Evidence map›Paper›PMID 29364889›Full record

ArticlePLoS neglected tropical diseases2018

Serum metabolome changes in adult patients with severe dengue in the critical and recovery phases of dengue infection.

Liang Cui, Junxiong Pang, Yie Hou Lee, Eng Eong Ooi, Choon Nam Ong, Yee Sin Leo, Steven R Tannenbaum

Open access · goldAbstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
4.1field-weighted citation impact, top 6% of its field
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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 41 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Recommendations for dengue vaccine implementation in the elderly population.Therapeutic advances in vaccines and immunotherapy · 2025
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Dietary Patterns and Anti-Flavivirus IgG Seroconversion in Colombian Children.The American journal of tropical medicine and hygiene · 2023
    Article
  13. Article
  14. Article
  15. Dengue and metabolomics in humans.Metabolomics : Official journal of the Metabolomic Society · 2021
    Review
  16. Article
  17. Review
  18. Article
  19. Review
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

7 authors at 4 institutions in 2 countries.

Liang CuiInfectious Diseases Interdisciplinary Research Group, Singapore-MIT Alliance for Research & Technology (SMART), Singapore, Singapore.ORCID 0000-0001-9356-825X
Junxiong PangCommunicable Disease Center, Institute of Infectious Diseases and Epidemiology, Tan Tock Seng Hospital, Singapore, Singapore.
Yie Hou LeeKK Research Centre, KK Women's and Children's Hospital, Singapore, Singapore.
Eng Eong OoiInfectious Diseases Interdisciplinary Research Group, Singapore-MIT Alliance for Research & Technology (SMART), Singapore, Singapore.
Choon Nam OngSaw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore.
Yee Sin LeoCommunicable Disease Center, Institute of Infectious Diseases and Epidemiology, Tan Tock Seng Hospital, Singapore, Singapore.
Steven R TannenbaumInfectious Diseases Interdisciplinary Research Group, Singapore-MIT Alliance for Research & Technology (SMART), Singapore, Singapore.
National University of Singapore · SGSingapore-MIT Alliance for Research and Technology · SGDuke-NUS Medical School · SGKK Women's and Children's Hospital · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dengue virus (DENV) is the most prevalent arbovirus leading to an estimated 100 million symptomatic dengue infections every year. DENV can cause a spectrum of clinical manifestations, ranging from mild dengue fever (DF) to more life threatening forms such as dengue hemorrhagic fever (DHF). The clinical symptoms of DHF become evident typically at the critical phase of infection (5-7 days after onset of fever), yet the mechanisms that trigger transition from DF to DHF are not well understood. We performed a mass spectrometry-based metabolomic profiling of sera from adult DF and DHF patients at the critical and recovery phases of infection. There were 29 differentially expressed metabolites identified between DF and DHF at the critical phase. These include bile acids, purines, acylcarnitines, phospholipids, and amino acids. Bile acids were observed up to 5 fold higher levels among DHF compared to DF patients and were significantly correlated to the higher levels of aspartate transaminase (AST) and alanine transaminase (ALT), suggestive of liver injury among DHF. Uric acid, the most abundant antioxidant in the blood, was observed to be 1.5 fold lower among DHF compared to DF patients. This could result in decreased capacity of endogenous antioxidant defense and elevated oxidative stress among DHF patients. In the recovery phase, the levels of eight metabolites were still significantly higher or lower among DHF patients, including chenodeoxyglycocholic acid, one of the bile acids observed at the critical phase. This indicates potential prolonged adverse impact on the liver due to DENV infection in DHF patients. Our study identified altered metabolic pathways linked to DHF in the critical and recovery phases of dengue infection and provided insights into the different host and DENV interactions between DF and DHF. The results advance our understanding on the mechanisms of DHF pathogenesis, alluding to possible novel therapeutic targets to dengue management.

Indexed as

MetabolomeAdultHumansMass SpectrometrySerumSevere Dengue

Identifiers

PMID29364889
PMCPMC5798853
OpenAlexW2784380359

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.