Evidence map›Paper›PMID 24618821›Full record

ArticlePloS one2014

Kinetic analysis of mouse brain proteome alterations following Chikungunya virus infection before and after appearance of clinical symptoms.

Christophe Fraisier, Penelope Koraka, Maya Belghazi, Mahfoud Bakli, Samuel Granjeaud, Matthieu Pophillat, Stephanie M Lim, Albert Osterhaus, Byron Martina, Luc Camoin and 1 more

Abstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. Review
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  8. Rediscovering the chikungunya virusBiomedica : revista del Instituto Nacional de Salud · 2021
    Review
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  14. Article
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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

11 authors.

Christophe FraisierAix Marseille Université, Unité de Recherche en Maladies Infectieuses et Tropicales Emergentes, UM63, CNRS 7278, IRD 198, Inserm 1095, Marseille, France.
Penelope KorakaDepartment of Viroscience, Erasmus MC, Rotterdam, The Netherlands.
Maya BelghaziAix-Marseille Université, CNRS, CRN2M UMR 7286, Marseille, France.
Mahfoud BakliAix Marseille Université, Unité de Recherche en Maladies Infectieuses et Tropicales Emergentes, UM63, CNRS 7278, IRD 198, Inserm 1095, Marseille, France.
Samuel GranjeaudCRCM, Marseille Protéomique, Inserm, U1068, Marseille, France; Aix-Marseille Université, UM 105, Marseille, France.
Matthieu PophillatCRCM, Marseille Protéomique, Inserm, U1068, Marseille, France; Aix-Marseille Université, UM 105, Marseille, France.
Stephanie M LimDepartment of Viroscience, Erasmus MC, Rotterdam, The Netherlands.
Albert OsterhausDepartment of Viroscience, Erasmus MC, Rotterdam, The Netherlands.
Byron MartinaDepartment of Viroscience, Erasmus MC, Rotterdam, The Netherlands.
Luc CamoinCRCM, Marseille Protéomique, Inserm, U1068, Marseille, France; Aix-Marseille Université, UM 105, Marseille, France.
Lionel AlmerasAix Marseille Université, Unité de Recherche en Maladies Infectieuses et Tropicales Emergentes, UM63, CNRS 7278, IRD 198, Inserm 1095, Marseille, France; Unité de recherche en biologie et épidémiologie parasitaires (URBEP), Institut de Recherche Biomédicale des Armées (IRBA), Marseille, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent outbreaks of Chikungunya virus (CHIKV) infection have been characterized by an increasing number of severe cases with atypical manifestations including neurological complications. In parallel, the risk map of CHIKV outbreaks has expanded because of improved vector competence. These features make CHIKV infection a major public health concern that requires a better understanding of the underlying physiopathological processes for the development of antiviral strategies to protect individuals from severe disease. To decipher the mechanisms of CHIKV infection in the nervous system, a kinetic analysis on the host proteome modifications in the brain of CHIKV-infected mice sampled before and after the onset of clinical symptoms was performed. The combination of 2D-DIGE and iTRAQ proteomic approaches, followed by mass spectrometry protein identification revealed 177 significantly differentially expressed proteins. This kinetic analysis revealed a dramatic down-regulation of proteins before the appearance of the clinical symptoms followed by the increased expression of most of these proteins in the acute symptomatic phase. Bioinformatic analyses of the protein datasets enabled the identification of the major biological processes that were altered during the time course of CHIKV infection, such as integrin signaling and cytoskeleton dynamics, endosome machinery and receptor recycling related to virus transport and synapse function, regulation of gene expression, and the ubiquitin-proteasome pathway. These results reveal the putative mechanisms associated with severe CHIKV infection-mediated neurological disease and highlight the potential markers or targets that can be used to develop diagnostic and/or antiviral tools.

Indexed as

Chikungunya virusProteomeProteomicsAnimalsAntigens, ViralBrainChikungunya FeverCluster AnalysisDisease Models, AnimalFemaleGene ExpressionGene Regulatory NetworksKineticsMiceReproducibility of ResultsSignal TransductionAntigens, ViralProteome

Identifiers

PMID24618821
PMCPMC3949995

What OpenQuestion holds

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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.