Evidence map›Paper›PMID 31272469›Full record

ArticleJournal of neuroinflammation2019

TLR4 participates in the transmission of ethanol-induced neuroinflammation via astrocyte-derived extracellular vesicles.

Francesc Ibáñez, Jorge Montesinos, Juan R Ureña-Peralta, Consuelo Guerri, María Pascual

Open access · goldAbstract read
In one paragraph

Article in Journal of neuroinflammation, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 88 papers.

0numbers the graph read from it
0cells of the map it votes in
88citing papers in PubMed
6.0field-weighted citation impact, top 3% 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

88 citing papers in PubMed, 163 citations in OpenAlex.

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  20. Cell-cell communication: new insights and clinical implications.Signal transduction and targeted therapy · 2024
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28 more citing papers are in PubMed but not listed here.

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

5 authors at 3 institutions in 2 countries.

Francesc IbáñezDepartment of Molecular and Cellular Pathology of Alcohol, Centro de Investigación Príncipe Felipe, C/Eduardo Primo Yúfera 3, 46012, Valencia, Spain.
Jorge MontesinosDepartment of Molecular and Cellular Pathology of Alcohol, Centro de Investigación Príncipe Felipe, C/Eduardo Primo Yúfera 3, 46012, Valencia, Spain.
Juan R Ureña-PeraltaDepartment of Molecular and Cellular Pathology of Alcohol, Centro de Investigación Príncipe Felipe, C/Eduardo Primo Yúfera 3, 46012, Valencia, Spain.
Consuelo GuerriDepartment of Molecular and Cellular Pathology of Alcohol, Centro de Investigación Príncipe Felipe, C/Eduardo Primo Yúfera 3, 46012, Valencia, Spain. cguerri@cipf.es.ORCID http://orcid.org/0000-0001-9485-6202
María PascualDepartment of Molecular and Cellular Pathology of Alcohol, Centro de Investigación Príncipe Felipe, C/Eduardo Primo Yúfera 3, 46012, Valencia, Spain. mpascual@cipf.es.
Centro de Investigacion Principe Felipe · ESColumbia University Irving Medical Center · USUniversitat de València · ES

Funding

Ministerio de Ciencia, Tecnología e Innovación Productiva SAF2015-69187RNational Institutes of Health RD16 0017 0004National Plan for Science, Technology and Innovation 2018-I003
6 · The paper itself

Abstract

backgroundCurrent evidence indicates that extracellular vesicles (EVs) participate in intercellular signaling, and in the regulation and amplification of neuroinflammation. We have previously shown that ethanol activates glial cells through Toll-like receptor 4 (TLR4) by triggering neuroinflammation. Here, we evaluate if ethanol and the TLR4 response change the release and inflammatory content of astrocyte-derived EVs, and whether these vesicles are capable of communicating with neurons by spreading neuroinflammation.

methodsCortical neurons and astrocytes in culture were used. EVs were isolated from the extracellular medium of the primary culture of the WT and TLR4-KO astrocytes treated with or without ethanol (40 mM) for 24 h. Flow cytometry, nanoparticle tracking analysis technology, combined with exosomal molecular markers (tetraspanins) along with electron microscopy, were used to characterize and quantify EVs. The content of EVs in inflammatory proteins, mRNA, and miRNAs was analyzed by Western blot and RT-PCR in both astrocyte-derived EVs and the neurons incubated or not with these EVs. Functional analyses of miRNAs were also performed.

resultsWe show that ethanol increases the number of secreted nanovesicles and their content by raising the levels of both inflammatory-related proteins (TLR4, NFκB-p65, IL-1R, caspase-1, NLRP3) and by changing miRNAs (mir-146a, mir-182, and mir-200b) in the EVs from the WT-astrocytes compared with those from the untreated WT cells. No changes were observed in either the number of isolated EVs or their content between the untreated and ethanol-treated TLR4-KO astrocytes. We also show that astrocyte-derived EVs could be internalized by naïve cortical neurons to increase the neuronal levels of inflammatory protein (COX-2) and miRNAs (e.g., mir-146a) and to compromise their survival. The functional analysis of miRNAs revealed the regulatory role of the expressed miRNAs in some genes involved in several inflammatory pathways.

conclusionsThese results suggest that astrocyte-derived EVs could act as cellular transmitters of inflammation signaling by spreading and amplifying the neuroinflammatory response induced by ethanol through TLR4 activation.

Indexed as

AnimalsAstrocytesCells, CulturedEthanolExtracellular VesiclesInflammationMiceMice, Inbred C57BLMice, KnockoutProtein Interaction MapsToll-Like Receptor 4EthanolTlr4 protein, mouseToll-Like Receptor 4EthanolExtracellular vesiclesGlial cellsNeuroinflammationNeurons

Identifiers

PMID31272469
PMCPMC6610989
OpenAlexW2953793262

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.