Evidence map›Paper›PMID 29384851›Full record

ArticleMedicine2018

Identifying protein biomarkers in predicting disease severity of dengue virus infection using immune-related protein microarray.

Hui Jen Soe, Yean K Yong, Mazen M Jamil Al-Obaidi, Chandramathi Samudi Raju, Ranganath Gudimella, Rishya Manikam, Shamala Devi Sekaran

Abstract read
In one paragraph

Article in Medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Review
  7. Host immune response against DENV and ZIKV infections.Frontiers in cellular and infection microbiology · 2022
    Review
  8. Article
  9. Article
  10. Cytokine Signature of Dengue Patients at Different Severity of the Disease.International journal of molecular sciences · 2021
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. 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

7 authors.

Hui Jen SoeDepartment of Medical Microbiology Department of Trauma and Emergency, Faculty of Medicine, University of Malaya Laboratory Centre, Xiamen University Malaysia, China-ASEAN College of Marine Biotechnology, Sepang, Selangor Faculty of Medicine, MAHSA University, Bandar Saujana Putra Sengenics Corporation, HIR Building, University Malaya 50603 Kuala Lumpur, Malaysia.
Yean K Yong
Mazen M Jamil Al-Obaidi
Chandramathi Samudi Raju
Ranganath Gudimella
Rishya Manikam
Shamala Devi Sekaran

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dengue virus is one of the most widespread flaviviruses that re-emerged throughout recent decades. The progression from mild dengue to severe dengue (SD) with the complications such as vascular leakage and hemorrhage increases the fatality rate of dengue. The pathophysiology of SD is not entirely clear. To investigate potential biomarkers that are suggestive of pathogenesis of SD, a small panel of serum samples selected from 1 healthy individual, 2 dengue patients without warning signs (DWS-), 2 dengue patients with warning signs (DWS+), and 5 patients with SD were subjected to a pilot analysis using Sengenics Immunome protein array. The overall fold changes of protein expressions and clustering heat map revealed that PFKFB4, TPM1, PDCL3, and PTPN20A were elevated among patients with SD. Differential expression analysis identified that 29 proteins were differentially elevated greater than 2-fold in SD groups than DWS- and DWS+. From the 29 candidate proteins, pathways enrichment analysis also identified insulin signaling and cytoskeleton pathways were involved in SD, suggesting that the insulin pathway may play a pivotal role in the pathogenesis of SD.

Indexed as

BiomarkersDengueHumansPilot ProjectsProtein Array AnalysisSeverity of Illness IndexBiomarkers

Identifiers

PMID29384851
PMCPMC5805423

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.