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Distinct Cellular and Molecular Features of Asthma Mucus Plugs Provide Clues About the Mechanisms of Their Formation and Persistence

2025· article· en· W4410276408 on OpenAlexaff
Maude A. Liegeois, A. Hsieh, May Fouadi, Annabelle R. Charbit, Chen Xi Yang, T.-L. Hackett, J.V. Fahy

Bibliographic record

VenueAmerican Journal of Respiratory and Critical Care Medicine · 2025
Typearticle
Languageen
FieldMedicine
TopicAsthma and respiratory diseases
Canadian institutionsUniversity of British ColumbiaUniversity of British Columbia Hospital
Fundersnot available
KeywordsMedicinePersistence (discontinuity)AsthmaMucusComputational biologyImmunologyBiologyEcology

Abstract

fetched live from OpenAlex

Abstract RATIONALE: The rational design of needed treatments for airway mucus plugging in asthma requires better understanding of the mechanisms that underlie rapid mucus plug formation in asthma exacerbations and their persistence in chronic asthma. METHODS: Lung tissue sections from lung disease-free controls (n=8) and asthma patients who died from asthma (fatal asthma, n=9) or from non-asthma causes (non-fatal asthma, n=5), were assessed by histology and spatial, single-cell proteomics (imaging mass cytometry [IMC]) to characterize the landscape of mucins, structural cells and immune cells in mucus plugged airways. RESULTS: Mucus plugs were detectable in fatal (acute) and non-fatal (chronic) cases of asthma (Fig. 1A). Using IMC, we identified mucins and determined the single-cell composition of mucus plugs and the airways in which they occurred (Fig. 1B). Compared to unplugged airways, we found that mucus plugged airways had a greater number of epithelial cells and smooth muscle cells (all p values <0.05). The mucus plugs were infiltrated with immune cells that were mostly dual positive for markers of eosinophils and neutrophils (Fig. 1C), and these granulocytes were infrequent in some plugs and abundant in others (Fig. 1D). By using the median number of infiltrating granulocytes to classify mucus plugs as pauci-granulocytic or granulocytic, we found that pauci-granulocytic plugs had a higher MUC5AC content than granulocytic plugs (Fig. 1E) whereas granulocytic plugs had higher numbers of extracellular DNA traps (Histone H3 extracellular immunostaining, P<0.05). Notably, the frequency of pauci-granulocytic plugs was higher in acute (fatal) asthma than in chronic (non-fatal) asthma, whereas the frequency of granulocytic plugs was higher in chronic asthma than in acute asthma (Fig. 1F, p<0.01). CONLUSION: Mucus plugs in asthma occur in acute and chronic disease.The acute mucus plugs are relatively acellular and MUC5AC-rich whereas the chronic mucus plugs are more frequently infiltrated with granulocytes and DNA traps. We speculate that chronic mucus plugs may arise from lack of resolution of acute plugs. These data and concepts provide a framework for tackling mucus plug pathology that supports treatments that target airway remodeling and mucin gene dysregulation as well as those that target the biological pathways that drive granulocyte trafficking to mucus plugs in the airway lumen and the formation of extracellular DNA traps.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.010
GPT teacher head0.273
Teacher spread0.263 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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