Evidence map›Paper›PMID 33815474›Full record

ArticleFrontiers in genetics2021

Exome-Wide Search for Genes Associated With Central Nervous System Inflammatory Demyelinating Diseases Following CHIKV Infection: The Tip of the Iceberg.

Soniza Vieira Alves-Leon, Cristina Dos Santos Ferreira, Alice Laschuk Herlinger, Fabricia Lima Fontes-Dantas, Fernanda Cristina Rueda-Lopes, Ronaldo da Silva Francisco, João Paulo da Costa Gonçalves, Amanda Dutra de Araújo, Cláudia Cecília da Silva Rêgo, Luiza Mendonça Higa and 16 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.8field-weighted citation impact, top 16% 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

9 citing papers in PubMed, 13 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

26 authors at 8 institutions in 1 country.

Soniza Vieira Alves-LeonTranslational Neuroscience Laboratory, Rio de Janeiro State Federal University, Rio de Janeiro, Brazil.
Cristina Dos Santos FerreiraBioinformatics Laboratory, National Laboratory for Scientific Computing, Petrópolis, Brazil.
Alice Laschuk HerlingerMolecular Virology Laboratory, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil.
Fabricia Lima Fontes-DantasTranslational Neuroscience Laboratory, Rio de Janeiro State Federal University, Rio de Janeiro, Brazil.
Fernanda Cristina Rueda-LopesDepartment of Radiology, Antônio Pedro University Hospital, Fluminense Federal University, Niterói, Brazil.
Ronaldo da Silva FranciscoBioinformatics Laboratory, National Laboratory for Scientific Computing, Petrópolis, Brazil.
João Paulo da Costa GonçalvesTranslational Neuroscience Laboratory, Rio de Janeiro State Federal University, Rio de Janeiro, Brazil.
Amanda Dutra de AraújoTranslational Neuroscience Laboratory, Rio de Janeiro State Federal University, Rio de Janeiro, Brazil.
Cláudia Cecília da Silva RêgoTranslational Neuroscience Laboratory, Rio de Janeiro State Federal University, Rio de Janeiro, Brazil.
Luiza Mendonça HigaMolecular Virology Laboratory, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil.
Alexandra Lehmkuhl GerberBioinformatics Laboratory, National Laboratory for Scientific Computing, Petrópolis, Brazil.
Ana Paula de Campos GuimarãesBioinformatics Laboratory, National Laboratory for Scientific Computing, Petrópolis, Brazil.
Mariane Talon de MenezesMolecular Virology Laboratory, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil.
Marcelo Calado de Paula TôrresMolecular Virology Laboratory, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil.
Richard Araújo MaiaMolecular Virology Laboratory, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil.
Bruno Miceli Gonzalez NogueiraTranslational Neuroscience Laboratory, Rio de Janeiro State Federal University, Rio de Janeiro, Brazil.
Laise Carolina FrançaTranslational Neuroscience Laboratory, Rio de Janeiro State Federal University, Rio de Janeiro, Brazil.
Marcos Martins da SilvaDepartment of Clinical Medicine, Clementino Fraga Filho University Hospital, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil.
Christian NaurathFederal Hospital Cardoso Fontes, Ministry of Health, Rio de Janeiro, Brazil.
Aline Saraiva da Silva CorreiaFederal Hospital Cardoso Fontes, Ministry of Health, Rio de Janeiro, Brazil.
Claudia Cristina Ferreira VasconcelosDepartment of Neurology, University Hospital Gafrée e Guinle, Rio de Janeiro State Federal University, Rio de Janeiro, Brazil.
Amilcar TanuriMolecular Virology Laboratory, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil.
Orlando Costa FerreiraMolecular Virology Laboratory, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil.
Cynthia Chester CardosoMolecular Virology Laboratory, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil.
Renato Santana AguiarDepartment of Genetics, Ecology and Evolution, Institute of Biological Sciences, Federal University of Minas Gerais, Belo Horizonte, Brazil.
Ana Tereza Ribeiro de VasconcelosBioinformatics Laboratory, National Laboratory for Scientific Computing, Petrópolis, Brazil.
Universidade Federal do Rio de Janeiro · BRLaboratório Nacional de Computação Científica · BRHospital Universitário Clementino Fraga Filho · BRUniversidade Federal do Estado do Rio de Janeiro · BRMinistério da Saúde · BRHospital Universitário Gaffrée e Guinle · BRUniversidade Federal de Minas Gerais · BRUniversidade Federal Fluminense · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chikungunya virus (CHIKV) is a re-emergent arbovirus that causes a disease characterized primarily by fever, rash and severe persistent polyarthralgia, although <1% of cases develop severe neurological manifestations such as inflammatory demyelinating diseases (IDD) of the central nervous system (CNS) like acute disseminated encephalomyelitis (ADEM) and extensive transverse myelitis. Genetic factors associated with host response and disease severity are still poorly understood. In this study, we performed whole-exome sequencing (WES) to identify HLA alleles, genes and cellular pathways associated with CNS IDD clinical phenotype outcomes following CHIKV infection. The cohort includes 345 patients of which 160 were confirmed for CHIKV. Six cases presented neurological manifestation mimetizing CNS IDD. WES data analysis was performed for 12 patients, including the CNS IDD cases and 6 CHIKV patients without any neurological manifestation. We identified 29 candidate genes harboring rare, pathogenic, or probably pathogenic variants in all exomes analyzed. HLA alleles were also determined and patients who developed CNS IDD shared a common signature with diseases such as Multiple sclerosis (MS) and Neuromyelitis Optica Spectrum Disorders (NMOSD). When these genes were included in Gene Ontology analyses, pathways associated with CNS IDD syndromes were retrieved, suggesting that CHIKV-induced CNS outcomesmay share a genetic background with other neurological disorders. To our knowledge, this study was the first genome-wide investigation of genetic risk factors for CNS phenotypes in CHIKV infection. Our data suggest that HLA-DRB1 alleles associated with demyelinating diseases may also confer risk of CNS IDD outcomes in patients with CHIKV infection.

Indexed as

acute disseminated encephalomyelitischikungunyaHLA allelesinflammatory demyelinating diseasesmyelitisneurological manifestations in viral infectionpathogenic variantswhole exome sequence

Identifiers

PMID33815474
PMCPMC8010313
OpenAlexW3136820312

What OpenQuestion holds

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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.