Evidence map›Paper›PMID 37292596›Full record

ArticlebioRxiv : the preprint server for biology2023

Particulate matter composition drives differential molecular and morphological responses in lung epithelial cells.

Sean M Engels, Pratik Kamat, G Stavros Pafilis, Yukang Li, Anshika Agrawal, Daniel J Haller, Jude M Phillip, Lydia M Contreras

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Sean M EngelsMcKetta Department of Chemical Engineering, University of Texas at Austin, Austin, Texas, 78712.
Pratik KamatDepartment of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, Maryland, 21218.
G Stavros PafilisMcKetta Department of Chemical Engineering, University of Texas at Austin, Austin, Texas, 78712.
Yukang LiDepartment of Biology, Johns Hopkins University, Baltimore, Maryland 21218.
Anshika AgrawalDepartment of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, Maryland, 21218.
Daniel J HallerDepartment of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, North Carolina, 27606.
Jude M PhillipDepartment of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, Maryland, 21218.
Lydia M ContrerasMcKetta Department of Chemical Engineering, University of Texas at Austin, Austin, Texas, 78712.

Funding

Technological Assessment and Solutions Core - RC4P30AG021334 · NIA · JOHNS HOPKINS UNIVERSITY · PI Jeremy D Walston · 2003 to 2026
$33.2M
Validation of Nuclear Morphology as a Biomarker of Aging and Aging-Related PhenotypesU01AG060903 · NIA · JOHNS HOPKINS UNIVERSITY · PI WIRTZ, DENIS · 2018 to 2022
$3.1M
Air pollution-induced Regulation of m6A methylations via ADAR oxidationR21ES032124 · NIEHS · UNIVERSITY OF TEXAS AT AUSTIN · PI CONTRERAS, LYDIA MARIA · 2020 to 2021
$426k
NIA NIH HHS P30 AG021334NIA NIH HHS U01 AG060903NIEHS NIH HHS R21 ES032124
6 · The paper itself

Abstract

Particulate matter (PM) is a ubiquitous component of indoor and outdoor air pollution that is epidemiologically linked to many human pulmonary diseases. PM has many emission sources, making it challenging to understand the biological effects of exposure due to the high variance in chemical composition. However, the effects of compositionally unique particulate matter mixtures on cells have not been analyzed using both biophysical and biomolecular approaches. Here, we show that in a human bronchial epithelial cell model (BEAS-2B), exposure to three chemically distinct PM mixtures drives unique cell viability patterns, transcriptional remodeling, and the emergence of distinct morphological subtypes. Specifically, PM mixtures modulate cell viability and DNA damage responses and induce the remodeling of gene expression associated with cell morphology, extracellular matrix organization and structure, and cellular motility. Profiling cellular responses showed that cell morphologies change in a PM composition-dependent manner. Lastly, we observed that particulate matter mixtures with high contents of heavy metals, such as cadmium and lead, induced larger drops in viability, increased DNA damage, and drove a redistribution among morphological subtypes. Our results demonstrate that quantitative measurement of cellular morphology provides a robust approach to gauge the effects of environmental stressors on biological systems and determine cellular susceptibilities to pollution.

Identifiers

PMID37292596
PMCPMC10245696

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.