Evidence map›Paper›PMID 32566804›Full record

ArticleCurrent opinion in toxicology2020

Small and dangerous? Potential toxicity mechanisms of common exposure particles and nanoparticles.

Rachel E Hewitt, Helen F Chappell, Jonathan J Powell

Open access · greenAbstract read
In one paragraph

Article in Current opinion in toxicology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

10 citing papers in PubMed, 46 citations in OpenAlex.

  1. Article
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  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Toxicogenomic Profiling of 28 Nanomaterials in Mouse Airways.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2021
    Article
  9. Article
  10. Article
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

3 authors at 2 institutions in 1 country.

Rachel E HewittBiomineral Research Group, Department of Veterinary Medicine, University of Cambridge, Madingley Road, Cambridge CB3 0ES, UK.
Helen F ChappellSchool of Food Science and Nutrition, University of Leeds, Woodhouse Lane, Leeds, LS2 9JT, UK.
Jonathan J PowellBiomineral Research Group, Department of Veterinary Medicine, University of Cambridge, Madingley Road, Cambridge CB3 0ES, UK.
University of Cambridge · GBUniversity of Leeds · GB

Funding

Medical Research Council MR/R005699/1
6 · The paper itself

Abstract

We are continuously exposed to large numbers of non-biological, persistent particulates through dermal, oral and inhalation routes. At sizes perfect for cell interactions, such modern particle exposures are derived from human engineering either purposefully (e.g. additives/excipients) or inadvertently (e.g. pollution). Whether oral or dermal exposure to common particles has significantly adverse effects is not yet known. However, relationships between increased morbidity or mortality and airborne particle exposure are well established. Large nanoparticles and microparticles adsorb environmental molecules, including antigens and allergens, and deliver them to cells potentially with an adjuvant effect. Smaller nanoparticles may have enhanced redox activity due to increased surface areas or band gap effects. Under some circumstances, ultrasmall nanoparticles can ligate cellular receptors or interact with other cell machinery and drive distinct cell signalling. These, as well as the potential for inflammasome activation, are discussed as feasible pathways to understanding or de-bunking particle toxicity.

Indexed as

EnvironmentExposureMechanismsMicroparticlesNanoparticlesToxicity

Identifiers

PMID32566804
PMCPMC7305026
OpenAlexW3003672752

What OpenQuestion holds

Textmetadata
LicenceTDM
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.