Evidence map›Paper›PMID 39739661›Full record

ArticlePloS one2024

Profiling endogenous airway proteases and antiproteases and modeling proteolytic activation of Influenza HA using in vitro and ex vivo human airway surface liquid samples.

Stephanie A Brocke, Boris Reidel, Camille Ehre, Meghan E Rebuli, Carole Robinette, Kevin D Schichlein, Christian A Brooks, Ilona Jaspers

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Stephanie A BrockeCurriculum in Toxicology and Environmental Medicine, University of North Carolina, Chapel Hill, NC, United States of America.
Boris ReidelMarsico Lung Institute, University of North Carolina, Chapel Hill, NC, United States of America.
Camille EhreMarsico Lung Institute, University of North Carolina, Chapel Hill, NC, United States of America.
Meghan E RebuliCurriculum in Toxicology and Environmental Medicine, University of North Carolina, Chapel Hill, NC, United States of America.
Carole RobinetteCenter for Environmental Medicine, Asthma, and Lung Biology, University of North Carolina, Chapel Hill, NC, United States of America.
Kevin D SchichleinCurriculum in Toxicology and Environmental Medicine, University of North Carolina, Chapel Hill, NC, United States of America.
Christian A BrooksCenter for Environmental Medicine, Asthma, and Lung Biology, University of North Carolina, Chapel Hill, NC, United States of America.
Ilona JaspersCurriculum in Toxicology and Environmental Medicine, University of North Carolina, Chapel Hill, NC, United States of America.ORCID 0000-0001-8728-0305

Funding

UNC-CH CENTER FOR ENVIRONMENTAL HEALTH &SUSCEPTIBILITYP30ES010126 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Stephanie Engel · 2001 to 2026
$36.3M
TOXICOLOGYT32ES007126 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ILONA JASPERS, Bernard E. Weissman · 1985 to 2026
$13.0M
PM exposure and changes in respiratory host defense responsesR01ES031173 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ALEXIS, NEIL · 2020 to 2024
$1.2M
NIEHS NIH HHS P30 ES010126NIEHS NIH HHS R01 ES031173NIEHS NIH HHS T32 ES007126
6 · The paper itself

Abstract

Imbalance of airway proteases and antiproteases has been implicated in diseases such as COPD and environmental exposures including cigarette smoke and ozone. To initiate infection, endogenous proteases are commandeered by respiratory viruses upon encountering the airway epithelium. The airway proteolytic environment likely contains redundant antiproteases and proteases with diverse catalytic mechanisms, however a proteomic profile of these enzymes and inhibitors in airway samples has not been reported. The objective of this study was to first profile extracellular proteases and antiproteases using human airway epithelial cell cultures and ex vivo nasal epithelial lining fluid (NELF) samples. Secondly, we present an optimized method for probing the proteolytic environment of airway surface liquid samples (in vitro and ex vivo) using fluorogenic peptides modeling the cleavage sites of respiratory viruses. We detected 48 proteases in the apical wash of cultured human nasal epithelial cells (HNECs) (n = 6) and 57 in NELF (n = 13) samples from healthy human subjects using mass-spectrometry based proteomics. Additionally, we detected 29 and 48 antiproteases in the HNEC apical washes and NELF, respectively. We observed large interindividual variability in rate of cleavage of an Influenza H1 peptide in the ex vivo clinical samples. Since protease and antiprotease levels have been found to be altered in the airways of smokers, we compared proteolytic cleavage in ex vivo nasal lavage samples from male/female smokers and non-smokers. There was a statistically significant increase in proteolysis of Influenza H1 in NLF from male smokers compared to female smokers. Furthermore, we measured cleavage of the S1/S2 site of SARS-CoV, SARS-CoV-2, and SARS-CoV-2 Delta peptides in various airway samples, suggesting the method could be used for other viruses of public health relevance. This assay presents a direct and efficient method of evaluating the proteolytic environment of human airway samples in assessment of therapeutic treatment, exposure, or underlying disease.

Indexed as

Peptide HydrolasesProteolysisCells, CulturedEpithelial CellsFemaleHemagglutinin Glycoproteins, Influenza VirusHumansInfluenza, HumanMaleNasal MucosaProtease InhibitorsProteomicsSARS-CoV-2Hemagglutinin Glycoproteins, Influenza VirusPeptide HydrolasesProtease Inhibitors

Identifiers

PMID39739661
PMCPMC11687774

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.