Evidence map›Paper›PMID 42630249›Full record

ArticleFrontiers in immunology2026

Human bronchial air-liquid interface responses to nebulised protease exposure.

Georgina Hopkins, David Sheffield, Hugh Barlow, Anja Lalljie, Victoria James, Stella Cochrane, Lucy C Fairclough

Abstract read
In one paragraph

Article in Frontiers in immunology, 2026. 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

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

7 authors.

Georgina HopkinsSchool of Life Sciences, The University of Nottingham, Nottingham, United Kingdom.
David SheffieldSafety, Environmental and Regulatory Science, Unilever, Sharnbrook, Bedfordshire, United Kingdom.
Hugh BarlowSafety, Environmental and Regulatory Science, Unilever, Sharnbrook, Bedfordshire, United Kingdom.
Anja LalljieSafety, Environmental and Regulatory Science, Unilever, Sharnbrook, Bedfordshire, United Kingdom.
Victoria JamesSchool of Veterinary Medicine and Science, The University of Nottingham, Nottingham, United Kingdom.
Stella CochraneSafety, Environmental and Regulatory Science, Unilever, Sharnbrook, Bedfordshire, United Kingdom.
Lucy C FaircloughSchool of Life Sciences, The University of Nottingham, Nottingham, United Kingdom.

Funding

Wellcome Trust
6 · The paper itself

Abstract

Background: As part of a programme developing human-relevant new approach methodologies (NAMs) for next-generation risk assessment (NGRA), we utilised a human air-liquid interface (ALI) bronchial epithelial model (MucilAir™) to assess epithelial responses to nebulised protease exposure. Methods: Protease doses of 0.005, 0.08, 2, and 24 µg/cm Results: Phosphate-buffered saline (PBS) nebulisation produced no detectable barrier effects using the methods described. Protease doses of 2 µg/cm Discussion: These findings demonstrate the suitability of nebulised dosing for assessing airborne protease effects in bronchial ALI cultures. These data also highlight EV-miRNA profiling as a powerful, non-invasive readout that captures early molecular perturbations not detectable by conventional functional assays alone. Through identification of TEER, EV, and cytokine disruption thresholds to protease through statistical modelling, this work strengthens the methodological basis for generating NAM-aligned

Indexed as

BronchiEpithelial CellsPeptide HydrolasesRespiratory MucosaCytokinesHumansNebulizers and VaporizersCytokinesPeptide Hydrolasesair liquid interface (ALI)extracellular vesicles (EV)primary epithelial cellsproteasetranscriptomics

Identifiers

PMID42630249
PMCPMC13493381

What OpenQuestion holds

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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.