Evidence map›Paper›PMID 20559541›Full record

SynthesisPLoS neglected tropical diseases2010

Gene expression patterns of dengue virus-infected children from nicaragua reveal a distinct signature of increased metabolism.

P'ng Loke, Samantha N Hammond, Jacqueline M Leung, Charles C Kim, Sajeev Batra, Crisanta Rocha, Angel Balmaseda, Eva Harris

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in PLoS neglected tropical diseases, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
3.9field-weighted citation impact, top 7% 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

40 citing papers in PubMed, 74 citations in OpenAlex.

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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

8 authors at 6 institutions in 2 countries.

P'ng LokeDepartment of Medical Parasitology, School of Medicine, New York University, New York, New York, United States of America. png.loke@nyumc.org
Samantha N Hammond
Jacqueline M Leung
Charles C Kim
Sajeev Batra
Crisanta Rocha
Angel Balmaseda
Eva Harris
New York University · USUniversity of California, San Francisco · USHospital Infantil Manuel de Jesús Rivera · NIMinisterio de Salud · NISustainable Sciences Institute · USUniversity of California, Berkeley · US

Funding

Vaccines and Diagnostics TrialsU54AI065359 · NIAID · UNIVERSITY OF CALIFORNIA-IRVINE · PI BARBOUR, ALAN G. · 2005 to 2013
$88.8M
NIAID NIH HHS U54 AI065359
6 · The paper itself

Abstract

backgroundInfection with dengue viruses (DENV) leads to a spectrum of disease outcomes. The pathophysiology of severe versus non-severe manifestations of DENV infection may be driven by host responses, which could be reflected in the transcriptional profiles of peripheral blood immune cells. METHODOLOGY/PRINCIPAL

findingsWe conducted genome-wide microarray analysis of whole blood RNA from 34 DENV-infected children in Nicaragua collected on days 3-6 of illness, with different disease manifestations. Gene expression analysis identified genes that are differentially regulated between clinical subgroups. The most striking transcriptional differences were observed between dengue patients with and without shock, especially in the expression of mitochondrial ribosomal proteins associated with protein biosynthesis. In the dengue hemorrhagic fever patients, one subset of differentially expressed genes encode neutrophil-derived anti-microbial peptides associated with innate immunity. By performing a meta-analysis of our dataset in conjunction with previously published datasets, we confirmed that DENV infection in vivo is associated with large changes to protein and nucleic acid metabolism. Additionally, whereas in vitro infection leads to an increased interferon signature, this was not consistently observed from in vivo patient samples, suggesting that the interferon response in vivo is relatively transient and was no longer observed by days 3-6 of illness. CONCLUSIONS/SIGNIFICANCE: These data highlight important differences between different manifestations of severity during DENV infection as well as identify some commonalities. Compilation of larger datasets in the future across multiple studies, as we have initiated in this report, may well lead to better prediction of disease manifestation via a systems biology approach.

Indexed as

Gene Expression RegulationAdolescentChildChild, PreschoolCluster AnalysisDengueDengue VirusFemaleGene Expression ProfilingHumansInfantInterferonsMaleNicaraguaPolymerase Chain ReactionSignal TransductionInterferons

Identifiers

PMID20559541
PMCPMC2886038
OpenAlexW1980707302

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.