Evidence map›Paper›PMID 30273352›Full record

ArticlePLoS neglected tropical diseases2018

Quantification of dengue virus specific T cell responses and correlation with viral load and clinical disease severity in acute dengue infection.

Dulharie T Wijeratne, Samitha Fernando, Laksiri Gomes, Chandima Jeewandara, Anushka Ginneliya, Supun Samarasekara, Ananda Wijewickrama, Clare S Hardman, Graham S Ogg, Gathsaurie Neelika Malavige

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 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
6.7field-weighted citation impact, top 3% 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

36 citing papers in PubMed, 45 citations in OpenAlex.

  1. Trial
  2. Article
  3. Review
  4. T Cell Responses During Dengue Infection.Current topics in microbiology and immunology · 2026
    Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. Dengue.Lancet (London, England) · 2024
    Review
  12. Democratizing Pathological Image Segmentation with Lay Annotators via Molecular-empowered Learning.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention · 2023
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Dengue and COVID-19: two sides of the same coin.Journal of biomedical science · 2022
    Review
  18. Article
  19. Review
  20. 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

10 authors at 2 institutions in 2 countries.

Dulharie T WijeratneCentre for Dengue Research, University of Sri Jayewardenepura, Nugegoda, Sri Lanka.
Samitha FernandoCentre for Dengue Research, University of Sri Jayewardenepura, Nugegoda, Sri Lanka.ORCID 0000-0002-5613-5807
Laksiri GomesCentre for Dengue Research, University of Sri Jayewardenepura, Nugegoda, Sri Lanka.
Chandima JeewandaraCentre for Dengue Research, University of Sri Jayewardenepura, Nugegoda, Sri Lanka.
Anushka GinneliyaCentre for Dengue Research, University of Sri Jayewardenepura, Nugegoda, Sri Lanka.
Supun SamarasekaraCentre for Dengue Research, University of Sri Jayewardenepura, Nugegoda, Sri Lanka.
Ananda WijewickramaNational Infectious Diseases Institute, Angoda, Sri Lanka.
Clare S HardmanWeatherall Institute of Molecular Medicine, John Radcliffe Hospital, Oxford, United Kingdom.ORCID 0000-0002-1127-6446
Graham S OggWeatherall Institute of Molecular Medicine, John Radcliffe Hospital, Oxford, United Kingdom.
Gathsaurie Neelika MalavigeCentre for Dengue Research, University of Sri Jayewardenepura, Nugegoda, Sri Lanka.ORCID 0000-0001-9201-0449
University of Sri Jayewardenepura · LKJohn Radcliffe Hospital · GB

Funding

Medical Research Council G0701693Medical Research Council G116/150Medical Research Council MC_U137881017Medical Research Council MC_UU_00008/5Medical Research Council MC_UU_12010/5
6 · The paper itself

Abstract

backgroundIn order to understand the role of dengue virus (DENV) specific T cell responses that associate with protection, we studied their frequency and phenotype in relation to clinical disease severity and resolution of viraemia in a large cohort of patients with varying severity of acute dengue infection. METHODOLOGY/PRINCIPAL

findingsUsing ex vivo IFNγ ELISpot assays we determined the frequency of dengue viral peptide (DENV)-NS3, NS1 and NS5 responsive T cells in 74 adult patients with acute dengue infection and examined the association of responsive T cell frequency with the extent of viraemia and clinical disease severity. We found that total DENV-specific and DENV-NS3-specific T cell responses, were higher in patients with dengue fever (DF), when compared to those with dengue haemorrhagic fever (DHF). In addition, those with DF had significantly higher (p = 0.02) DENV-specific T cell responses on day 4 of infection compared to those who subsequently developed DHF. DENV peptide specific T cell responses inversely correlated with the degree of viraemia, which was most significant for DENV-NS3 specific T cell responses (Spearman's r = -0.47, p = 0.0003). The frequency of T cell responses to NS1, NS5 and pooled DENV peptides, correlated with the degree of thrombocytopenia but had no association with levels of liver transaminases. In contrast, total DENV-IgG inversely correlated with the degree of thrombocytopenia and levels of liver transaminases. CONCLUSIONS/SIGNIFICANCE: Early appearance of DENV-specific T cell IFNγ responses before the onset of plasma leakage, appears to associate with milder clinical disease and resolution of viraemia, suggesting a protective role in acute dengue infection.

Indexed as

Immunity, CellularViral LoadAdultDengueDengue VirusEnzyme-Linked Immunospot AssayFemaleHumansInterferon-gammaMaleSeverity of Illness IndexT-LymphocytesViral Nonstructural ProteinsInterferon-gammaViral Nonstructural Proteins

Identifiers

PMID30273352
PMCPMC6181435
OpenAlexW2804325477

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.