Evidence map›Paper›PMID 24037198›Full record

ArticleMemorias do Instituto Oswaldo Cruz2013

Potential biomarkers for the clinical prognosis of severe dengue.

Mayara Marques Carneiro da Silva, Laura Helena Vega Gonzales Gil, Ernesto Torres de Azevedo Marques, Carlos Eduardo Calzavara-Silva

Abstract read
In one paragraph

Article in Memorias do Instituto Oswaldo Cruz, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Regulation of Host Innate Immunity by Non-Coding RNAs During Dengue Virus Infection.Frontiers in cellular and infection microbiology · 2020
    Review
  8. Article
  9. Article
  10. Complex roles of NRAGE on tumor.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2016
    Review
  11. Article
  12. Article
  13. 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.

Mayara Marques Carneiro da SilvaLaboratório de Virologia e Terapia Experimental, Departamento de Virologia, Centro de Pesquisas Aggeu Magalhães, Fiocruz, RecifePE, Brasil.
Laura Helena Vega Gonzales Gil
Ernesto Torres de Azevedo Marques
Carlos Eduardo Calzavara-Silva

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Currently, several assays can confirm acute dengue infection at the point-of-care. However, none of these assays can predict the severity of the disease symptoms. A prognosis test that predicts the likelihood of a dengue patient to develop a severe form of the disease could permit more efficient patient triage and treatment. We hypothesise that mRNA expression of apoptosis and innate immune response-related genes will be differentially regulated during the early stages of dengue and might predict the clinical outcome. Aiming to identify biomarkers for dengue prognosis, we extracted mRNA from the peripheral blood mononuclear cells of mild and severe dengue patients during the febrile stage of the disease to measure the expression levels of selected genes by quantitative polymerase chain reaction. The selected candidate biomarkers were previously identified by our group as differentially expressed in microarray studies. We verified that the mRNA coding for CFD, MAGED1, PSMB9, PRDX4 and FCGR3B were differentially expressed between patients who developed clinical symptoms associated with the mild type of dengue and patients who showed clinical symptoms associated with severe dengue. We suggest that this gene expression panel could putatively serve as biomarkers for the clinical prognosis of dengue haemorrhagic fever.

Indexed as

Severity of Illness IndexAntigens, NeoplasmApoptosis Regulatory ProteinsBiomarkersCysteine EndopeptidasesGene ExpressionGPI-Linked ProteinsHumansImmunity, InnateLeukocytes, MononuclearMembrane GlycoproteinsMicroarray AnalysisNeoplasm ProteinsPeroxiredoxinsPrognosisReal-Time Polymerase Chain ReactionAntigens, NeoplasmApoptosis Regulatory ProteinsBiomarkersCysteine EndopeptidasesFCGR3B protein, humanGPI-Linked ProteinsLMP-2 proteinMAGED1 protein, humanMembrane GlycoproteinsNeoplasm ProteinsPeroxiredoxinsPRDX4 protein, humanReceptors, IgGReceptors, Interleukin-1RNA, MessengerTIRAP protein, human

Identifiers

PMID24037198
PMCPMC3970693

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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.