Evidence map›Paper›PMID 32316988›Full record

ArticleParticle and fibre toxicology2020

Pro-inflammatory effects of crystalline- and nano-sized non-crystalline silica particles in a 3D alveolar model.

Tonje Skuland, Marit Låg, Arno C Gutleb, Bendik C Brinchmann, Tommaso Serchi, Johan Øvrevik, Jørn A Holme, Magne Refsnes

Open access · goldAbstract read
In one paragraph

Article in Particle and fibre toxicology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
5.9field-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

26 citing papers in PubMed, 68 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 3 institutions in 2 countries.

Tonje SkulandSection of Air Pollution and Noise, Department of Environment and Health, Norwegian Institute of Public Health, PO Box 4404 Nydalen, N-0403, Oslo, Norway. tonje.skuland@fhi.no.
Marit LågSection of Air Pollution and Noise, Department of Environment and Health, Norwegian Institute of Public Health, PO Box 4404 Nydalen, N-0403, Oslo, Norway.
Arno C GutlebEnvironmental Research and Innovation (ERIN), Luxembourg Institute of Science and Technology (LIST), Belvaux, Grand Duchy of Luxembourg, Luxembourg.
Bendik C BrinchmannSection of Air Pollution and Noise, Department of Environment and Health, Norwegian Institute of Public Health, PO Box 4404 Nydalen, N-0403, Oslo, Norway.
Tommaso SerchiEnvironmental Research and Innovation (ERIN), Luxembourg Institute of Science and Technology (LIST), Belvaux, Grand Duchy of Luxembourg, Luxembourg.
Johan ØvrevikSection of Air Pollution and Noise, Department of Environment and Health, Norwegian Institute of Public Health, PO Box 4404 Nydalen, N-0403, Oslo, Norway.
Jørn A HolmeSection of Air Pollution and Noise, Department of Environment and Health, Norwegian Institute of Public Health, PO Box 4404 Nydalen, N-0403, Oslo, Norway.
Magne RefsnesSection of Air Pollution and Noise, Department of Environment and Health, Norwegian Institute of Public Health, PO Box 4404 Nydalen, N-0403, Oslo, Norway.
Norwegian Institute of Public Health · NOLuxembourg Institute of Science and Technology · LUUniversity of Oslo · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSilica nanoparticles (SiNPs) are among the most widely manufactured and used nanoparticles. Concerns about potential health effects of SiNPs have therefore risen. Using a 3D tri-culture model of the alveolar lung barrier we examined effects of exposure to SiNPs (Si10) and crystalline silica (quartz; Min-U-Sil) in the apical compartment consisting of human alveolar epithelial A549 cells and THP-1-derived macrophages, as well as in the basolateral compartment with Ea.hy926 endothelial cells. Inflammation-related responses were measured by ELISA and gene expression.

resultsExposure to both Si10 and Min-U-Sil induced gene expression and release of CXCL8, interleukin-6 (IL-6), tumor necrosis factor-α (TNF-α), interleukin-1α (IL-1α) and interleukin-1β (IL-1β) in a concentration-dependent manner. Cytokine/chemokine expression and protein levels were highest in the apical compartment. Si10 and Min-U-Sil also induced expression of adhesion molecules ICAM-1 and E-selectin in the apical compartment. In the basolateral endothelial compartment we observed marked, but postponed effects on expression of all these genes, but only at the highest particle concentrations. Geneexpressions of heme oxygenase-1 (HO-1) and the metalloproteases (MMP-1 and MMP-9) were less affected. The IL-1 receptor antagonist (IL-1RA), markedly reduced effects of Si10 and Min-U-Sil exposures on gene expression of cytokines and adhesion molecules, as well as cytokine-release in both compartments.

conclusionsSi10 and Min-U-Sil induced gene expression and release of pro-inflammatory cytokines/adhesion molecules at both the epithelial/macrophage and endothelial side of a 3D tri-culture. Responses in the basolateral endothelial cells were only induced at high concentrations, and seemed to be mediated by IL-1α/β released from the apical epithelial cells and macrophages.

Indexed as

A549 CellsAlveolar Epithelial CellsCoculture TechniquesCytokinesDose-Response Relationship, DrugGene ExpressionHumansInterleukin-1alphaInterleukin-1betaMacrophages, AlveolarModels, BiologicalNanoparticlesParticle SizeQuartzSilicon DioxideTHP-1 CellsCytokinesIL1A protein, humanIL1B protein, humanInterleukin-1alphaInterleukin-1betaQuartzSilicon Dioxide3D tri-culturesCrystalline silicaEndothelial cellsInflammationLung epithelial cellsSilica nanoparticlesTHP-1 macrophages

Identifiers

PMID32316988
PMCPMC7175518
OpenAlexW3016963004

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.