Evidence map›Paper›PMID 30987320›Full record

ArticleInternational journal of environmental research and public health2019

Exposure to Atmospheric Ultrafine Particles Induces Severe Lung Inflammatory Response and Tissue Remodeling in Mice.

Yara Saleh, Sébastien Antherieu, Romain Dusautoir, Laurent Y Alleman, Jules Sotty, Corentin De Sousa, Anne Platel, Esperanza Perdrix, Véronique Riffault, Isabelle Fronval and 4 more

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
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

11 citing papers in PubMed.

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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

14 authors.

Yara SalehEA4483-IMPECS, Institut Pasteur de Lille, Université de Lille, CHU Lille, 59045 Lille CEDEX, France. yara.saleh@univ-lille.fr.ORCID 0000-0001-6624-8226
Sébastien AntherieuEA4483-IMPECS, Institut Pasteur de Lille, Université de Lille, CHU Lille, 59045 Lille CEDEX, France. sebastien.antherieu@univ-lille.fr.
Romain DusautoirEA4483-IMPECS, Institut Pasteur de Lille, Université de Lille, CHU Lille, 59045 Lille CEDEX, France. romain.dusautoir@univ-lille.fr.
Laurent Y AllemanDépartement Sciences de l'Atmosphère et Génie de l'Environnement (SAGE), IMT Lille Douai, Université de Lille, 59000 Lille, France. laurent.alleman@imt-lille-douai.fr.
Jules SottyEA4483-IMPECS, Institut Pasteur de Lille, Université de Lille, CHU Lille, 59045 Lille CEDEX, France. jules.sotty@univ-lille.fr.
Corentin De SousaEA4483-IMPECS, Institut Pasteur de Lille, Université de Lille, CHU Lille, 59045 Lille CEDEX, France. corentin.de-sousa@univ-lille.fr.
Anne PlatelEA4483-IMPECS, Institut Pasteur de Lille, Université de Lille, CHU Lille, 59045 Lille CEDEX, France. anne.platel@pasteur-lille.fr.
Esperanza PerdrixDépartement Sciences de l'Atmosphère et Génie de l'Environnement (SAGE), IMT Lille Douai, Université de Lille, 59000 Lille, France. esperanza.perdrix@imt-lille-douai.fr.
Véronique RiffaultDépartement Sciences de l'Atmosphère et Génie de l'Environnement (SAGE), IMT Lille Douai, Université de Lille, 59000 Lille, France. veronique.riffault@imt-lille-douai.fr.ORCID 0000-0001-5572-0871
Isabelle FronvalDépartement Sciences de l'Atmosphère et Génie de l'Environnement (SAGE), IMT Lille Douai, Université de Lille, 59000 Lille, France. isabelle.fronval@imt-lille-douai.fr.
Fabrice NesslanyEA4483-IMPECS, Institut Pasteur de Lille, Université de Lille, CHU Lille, 59045 Lille CEDEX, France. fabrice.nesslany@univ-lille.fr.
Ludivine CanivetEA4483-IMPECS, Institut Pasteur de Lille, Université de Lille, CHU Lille, 59045 Lille CEDEX, France. ludivine.canivet@univ-lille.fr.
Guillaume GarçonEA4483-IMPECS, Institut Pasteur de Lille, Université de Lille, CHU Lille, 59045 Lille CEDEX, France. guillaume.garcon@univ-lille.fr.ORCID 0000-0002-4530-7175
Jean-Marc Lo-GuidiceEA4483-IMPECS, Institut Pasteur de Lille, Université de Lille, CHU Lille, 59045 Lille CEDEX, France. jean-marc.lo-guidice@univ-lille.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Exposure to particulate matter (PM) is leading to various respiratory health outcomes. Compared to coarse and fine particles, less is known about the effects of chronic exposure to ultrafine particles, despite their higher number and reactivity. In the present study, we performed a time-course experiment in mice to better analyze the lung impact of atmospheric ultrafine particles, with regard to the effects induced by fine particles collected on the same site. Trace element and PAH analysis demonstrated the almost similar chemical composition of both particle fractions. Mice were exposed intranasally to FF or UFP according to acute (10, 50 or 100 µg of PM) and repeated (10 µg of PM 3 times a week during 1 or 3 months) exposure protocols. More particle-laden macrophages and even greater chronic inflammation were observed in the UFP-exposed mice lungs. Histological analyses revealed that about 50% of lung tissues were damaged in mice exposed to UFP for three months versus only 35% in FF-exposed mice. These injuries were characterized by alveolar wall thickening, macrophage infiltrations, and cystic lesions. Taken together, these results strongly motivate the update of current regulations regarding ambient PM concentrations to include UFP and limit their emission.

Indexed as

Air PollutantsAnimalsDisease Models, AnimalEnvironmental ExposureLungMaleMiceMice, Inbred BALB CParticle SizeParticulate MatterSystemic Inflammatory Response SyndromeTime FactorsAir PollutantsParticulate Matterinflammationlung tissue remodelingmice(sub)chronic exposureUltrafine particles

Identifiers

PMID30987320
PMCPMC6479904

What OpenQuestion holds

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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.