Evidence map›Paper›PMID 37046138›Full record

ArticleMolecular neurobiology2023

Shared Molecular Signatures Across Zika Virus Infection and Multiple Sclerosis Highlight AP-1 Transcription Factor as a Potential Player in Post-ZIKV MS-Like Phenotypes.

Elielson Veloso da Silva, Fabrícia Lima Fontes-Dantas, Thiago Viana Dantas, Amanda Dutra, Osvaldo J M Nascimento, Soniza Vieira Alves-Leon

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Article in Molecular neurobiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

3 citing papers in PubMed, 8 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

6 authors at 5 institutions in 1 country.

Elielson Veloso da SilvaLaboratório de Neurociências Translacional, Instituto Biomédico, Universidade Federal do Estado do Rio de Janeiro, Rio de Janeiro, Brazil.
Fabrícia Lima Fontes-DantasLaboratório de Neurociências Translacional, Instituto Biomédico, Universidade Federal do Estado do Rio de Janeiro, Rio de Janeiro, Brazil.
Thiago Viana DantasPrograma de Engenharia de Sistemas e Computação-COPPE, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil.
Amanda DutraLaboratório de Neurociências Translacional, Instituto Biomédico, Universidade Federal do Estado do Rio de Janeiro, Rio de Janeiro, Brazil.
Osvaldo J M NascimentoPrograma de pós-graduação em Medicina (Neurologia/Neurociências), Universidade Federal Fluminense, Rio de Janeiro, Brazil.
Soniza Vieira Alves-LeonLaboratório de Neurociências Translacional, Instituto Biomédico, Universidade Federal do Estado do Rio de Janeiro, Rio de Janeiro, Brazil. sonizavieiraalvesleon@gmail.com.ORCID http://orcid.org/0000-0002-1538-6730
Universidade Federal Fluminense · BRHospital Universitário Clementino Fraga Filho · BRUniversidade do Estado do Rio de Janeiro · BRUniversidade Federal do Estado do Rio de Janeiro · BRUniversidade Federal do Rio de Janeiro · BR

Funding

CAPES 88887.130752/2016- 00FINEP 01.16.0078.00RENEZIKA 440779/2016-2
6 · The paper itself

Abstract

Zika virus (ZIKV) is an arbovirus of the Flaviviridae genus that has rapidly disseminated from across the Pacific to the Americas. Robust evidence has indicated a crucial role of ZIKV in congenital virus syndrome, including neonatal microcephaly. Moreover, emerging evidence suggests an association between ZIKV infection and the development of an extensive spectrum of central nervous system inflammatory demyelinating diseases (CNS IDD), such as multiple sclerosis-like clinical phenotypes. However, the underlying mechanisms of host-pathogen neuro-immune interactions remain to be elucidated. This study aimed to identify common transcriptional signatures between multiple sclerosis (MS) and ZIKV infection to generate molecular interaction networks, thereby leading to the identification of deregulated processes and pathways, which could give an insight of these underlying molecular mechanisms. Our investigation included publicly available transcriptomic data from MS patients in either relapse or remission (RR-MS) and datasets of subjects acutely infected by ZIKV for both immune peripheral cells and central nervous system cells. The protein-protein interaction (PPI) analysis showed upregulated AP-1 transcription factors (JUN and FOS) among the top hub and bottleneck genes in RR-MS and ZIKV data. Gene enrichment analysis retrieved a remarkable presence of ontologies and pathways linked to oxidative stress responses, immune cell function, inflammation, interleukin signaling, cell division, and transcriptional regulation commonly enriched in both scenarios. Considering the recent findings concerning AP-1 function in immunological tolerance breakdown, regulation of inflammation, and its function as an oxidative stress sensor, we postulate that the ZIKV trigger may contribute as a boost for the activation of such AP-1-regulated mechanisms that could favor the development of MS-like phenotypes following ZIKV infection in a genetically susceptible individual.

Indexed as

Multiple SclerosisZika VirusZika Virus InfectionHumansInflammationPhenotypeTranscription Factor AP-1Transcription Factor AP-1AP-1 signalingGene enrichment analysisInflammatory demyelinating diseases (IDD)Multiple sclerosisProtein-protein interaction (PPI)Zika virus (ZIKV)

Identifiers

PMID37046138
OpenAlexW4365443472

What Socratic holds

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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 Socratic graph.