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Sputum Cellularity and Immune Biomarkers During Acute Exacerbations of Asthma

2025· article· en· W4410272111 on OpenAlexaffabout
Tomohiro Nishizawa, Toby K. McGovern, C. Fugère, Rui Sun, J.J. Tan, Ronald Olivenstein, James G. Martin

Bibliographic record

VenueAmerican Journal of Respiratory and Critical Care Medicine · 2025
Typearticle
Languageen
FieldMedicine
TopicAsthma and respiratory diseases
Canadian institutionsMcGill University Health Centre
Fundersnot available
KeywordsMedicineSputumAsthmaImmunologyImmune systemAsthma exacerbationsIntensive care medicinePathologyTuberculosis

Abstract

fetched live from OpenAlex

Abstract Rationale: Acute asthma exacerbations are frequently triggered by viral infections and the airway epithelium is the principal target. Various pro-inflammatory molecules are released including the alarmins (interleukin (IL)-33, thymic stromal lymphopoietin and IL-25). The sputum is frequently used to phenotype asthma but is subject to contamination from the upper airways. The aim of the present study was to assess the markers of innate immune responses during an acute exacerbation of asthma by the analysis of sputum and to relate the levels of pro-inflammatory molecules to the quality of the sputum as reflected in the percentage of squamous cells.Methods: We studied asthmatic subjects (n= 45) presenting to the Montreal Chest Institute with a physician diagnosed asthma exacerbation. Clinical data, spirometry, Asthma Control Questionnaires (ACQ), complete blood counts and expectorated sputum were acquired on admission to the study (day 1) and on days 10 and 28. Sputum was processed for differential cell counts and sputum supernatants from a subset of subjects (n=25) were analysed by Bioplex for 25 inflammatory markers. Cysteinyl leukotrienes (CysLTs) in the sputum supernatants were analyzed by enzyme immunoassay. Results: On day 1, subjects had an ACQ score of 3.56 ± 0.84 and an FEV1 was 69.1 ± 21.4 (% predicted). Blood eosinophil counts >150/µl were present in 26/45. Expectorated sputum had squamous cell counts that ranged from 0 to 90%, with a median value of 16.81%. Mediator levels (interleukin (IL)-4, IL-5, IL-8, and TNF-α) were significantly lower in samples for which squamous cells exceeded 16 (%). Similarly, CysLTs were significantly higher in sputum squamous cell counts < 16% (median 697 pg/ml) than when sputum squamous cells were > 16% (median 364 pg/ml; p=0.006). Alarmins were an exception to this finding and levels of IL-33 were 5.29 ± 1.12pg/ml for samples below 16% squamous cells and 8.13 ±2.74 pg/ml for samples above 16%. Similarly, TSLP levels were not statistically significantly different for sputum with < 16% squamous cells to > 16% squamous cells (1.39pg ± 0.43/ml vs 2.15 ± 2.23 pg/ml) and for IL-25 (4.16 ± 2.87 pg/ml and 6.19 ± 1.17 pg/ml, respectively). Alarmin levels were not significantly different between subjects with peripheral blood eosinophils above and below 150/µl.Conclusions: Selected cytokines/chemokines and CysLTs in expectorated sputum are likely under-estimated in sputum samples in which squamous cells are elevated. Alarmin levels are not affected by the squamous cell counts, suggesting a significant contribution to these mediators from the oropharynx.

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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.008
GPT teacher head0.300
Teacher spread0.292 · 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 routes2
Has abstractyes

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