Evidence map›Paper›PMID 25895662›Full record

ArticleBMC genomics2015

High-throughput, quantitative assessment of the effects of low-dose silica nanoparticles on lung cells: grasping complex toxicity with a great depth of field.

Cédric Pisani, Jean-Charles Gaillard, Virginie Nouvel, Michaël Odorico, Jean Armengaud, Odette Prat

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
5.5field-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

21 citing papers in PubMed, 63 citations in OpenAlex.

  1. Superparamagnetic Spinel-Ferrite Nano-Adsorbents Adapted for HgInternational journal of molecular sciences · 2023
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  6. Multiparametric Profiling of Engineered Nanomaterials: Unmasking the Surface Coating Effect.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2020
    Article
  7. Review
  8. Review
  9. Review
  10. Genotoxicity of amorphous silica nanoparticles: Status and prospects.Nanomedicine : nanotechnology, biology, and medicine · 2019
    Review
  11. Review
  12. Article
  13. Review
  14. Article
  15. Review
  16. 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

6 authors at 2 institutions in 1 country.

Cédric PisaniCEA, IBEB, SBTN, F-30207, Bagnols-sur-Cèze, France. cedric.pisani@cea.fr.
Jean-Charles GaillardCEA, IBEB, SBTN, F-30207, Bagnols-sur-Cèze, France. jean-charles.gaillard@cea.fr.
Virginie NouvelCEA, IBEB, SBTN, F-30207, Bagnols-sur-Cèze, France. virginie.nouvel@cea.fr.
Michaël OdoricoCEA, IBEB, SBTN, F-30207, Bagnols-sur-Cèze, France. michael.odorico@cea.fr.
Jean ArmengaudCEA, IBEB, SBTN, F-30207, Bagnols-sur-Cèze, France. jean.armengaud@cea.fr.
Odette PratCEA, IBEB, SBTN, F-30207, Bagnols-sur-Cèze, France. odette.prat@cea.fr.
Commissariat à l'Énergie Atomique et aux Énergies Alternatives · FRInstitute of Environmental Biology and Biotechnology · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe toxicity of manufactured fumed silica nanoparticles (NPs) remains poorly investigated compared to that of crystalline silica NPs, which have been associated with lung diseases after inhalation. Amorphous silica NPs are a raw material for manufactured nanocomposites, such as cosmetics, foods, and drugs, raising concerns about their potential toxicity.

resultsThe size of the NPs was determined by dynamic light scattering and their shape was visualized by atomic force microscopy (10 ± 4 nm). The pertinent toxicological concentration and dynamic ranges were determined using viability tests and cellular impedance. We combined transcriptomics and proteomics to assess the cellular and molecular effects of fumed silica in A549 human alveolar epithelial cells. The "no observed transcriptomic adverse effect level" (NOTEL) was set to 1.0 μg/cm(2), and the "lowest observed adverse transcriptional effect level" (LOTEL) was set at 1.5 μg/cm(2). We carried out genome-wide expression profiles with microarrays and identified, by shotgun proteomics, the exoproteome changes in lung cells after exposure to NP doses (0.1, 1.0, 1.5, 3.0, and 6.0 μg/cm(2)) at two time points (24 h and 72 h). The data revealed a hierarchical, dose-dependent cellular response to silica NPs. At 1.5 μg/cm(2), the Rho signaling cascade, actin cytoskeleton remodeling, and clathrin-mediated endocytosis were induced. At 3.0 μg/cm(2), many inflammatory mediators were upregulated and the coagulation system pathway was triggered. Lastly, at 6.0 μg/cm(2), oxidative stress was initiated. The proteins identified in the extracellular compartment were consistent with these findings.

conclusionsThe alliance of two high-throughput technologies allowed the quantitative assessment of the cellular effects and molecular consequences of exposure of lung cells to low doses of NPs. These results were obtained using a pathway-driven analysis instead of isolated genes. As in photography, toxicogenomics allows, at the same time, the visualization of a wide spectrum of biological responses and a "zoom in" to the details with a great depth of field. This study illustrates how such an approach based on human cell culture models is a valuable predictive screening tool to evaluate the toxicity of many potentially harmful emerging substances, alone or in mixtures, in the framework of future regulatory reinforcements.

Indexed as

Cell Line, TumorCell SurvivalEpithelial CellsHumansInflammation MediatorsLungNanoparticlesOxidative StressParticle SizeProteomeSilicon DioxideTandem Mass SpectrometryTranscriptomeUp-RegulationInflammation MediatorsProteomeSilicon Dioxide

Identifiers

PMID25895662
PMCPMC4404697
OpenAlexW2170865950

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.