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Record W4307303300 · doi:10.1164/rccm.202206-1183oc

Autoantibody-mediated Macrophage Dysfunction in Patients with Severe Asthma with Airway Infections

2022· article· en· W4307303300 on OpenAlexafffund
Kiho Son, Kate Miyasaki, Brittany Salter, Dessi Loukov, Joseph Chon, Nan Zhao, Katherine Radford, Chynna Huang, Nicola LaVigne, Anna Dvorkin‐Gheva, Paige Lacy, Terence Ho, Dawn M. E. Bowdish, Parameswaran Nair, Manali Mukherjee

Bibliographic record

VenueAmerican Journal of Respiratory and Critical Care Medicine · 2022
Typearticle
Languageen
FieldMedicine
TopicAsthma and respiratory diseases
Canadian institutionsMcMaster University Medical CentreMcMaster UniversityUniversity of AlbertaSt. Joseph’s Healthcare Hamilton
FundersInstitute of Circulatory and Respiratory HealthCanadian Allergy, Asthma and Immunology Foundation
KeywordsMedicineImmunologyEosinophilSputumAutoantibodyAsthmaAntibodyPathologyTuberculosis

Abstract

fetched live from OpenAlex

Abstract Rationale Localized autoimmune responses have been reported in patients with severe eosinophilic asthma, characterized by eosinophil degranulation and airway infections. Objective To determine the presence of autoantibodies against macrophage scavenger receptors within the airways and their effects on macrophage function and susceptibility to infection. Methods Anti-EPX (eosinophil peroxidase), anti-MARCO (macrophage receptor with collagenous structure) IgG titers, and T1 and T2 (type 1/2) cytokines were measured in 221 sputa from 143 well-characterized patients with severe asthma. Peripheral monocytes and MDMs (monocyte-derived macrophages) isolated from healthy control subjects were treated with immunoprecipitated immunoglobulins from sputa with high anti-MARCO titers or nonspecific IgG to assess uptake of Streptococcus pneumoniae or response to the bacterial product LPS. Measurements and Main Results Anti-MARCO IgG was detected in 36% of patients, with significantly higher titers (up to 1:16) in patients with mixed granulocytic sputa, indicative of airway infections. Multivariate regression analysis confirmed increased frequency of degranulation (free eosinophil granules), increased blood eosinophils (indicative of high T2 burden), increased sputum total cell count, peripheral blood leukocytes (indicative of infection), and lymphopenia were associated with increased anti-MARCO IgG titers; IL-15 (odds ratio [OR], 1.79; confidence interval [CI], 1.19–2.70), IL-13 (OR, 1.06; CI, 1.02–1.12), and IL-12p70 (OR, 3.34; CI, 1.32–8.40) were the associated cytokines. Patients with anti-MARCO antibodies had higher chances of subsequent infective versus eosinophilic exacerbations (P = 0.01). MDMs treated with immunoprecipitated immunoglobulins (anti-MARCO+ sputa) had reduced bacterial uptake by 39% ± 15% and significantly reduced release of IL-10 and granulocyte-macrophage colony-stimulating factor (GM-CSF) (P < 0.05) in response to an LPS stimulus. Conclusions Autoantibodies against macrophage scavenger receptors in eosinophilic asthma airways may impede effective host defenses and lead to recurrent infective bronchitis.

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)0.001
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 score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.005
GPT teacher head0.253
Teacher spread0.248 · 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

Citations53
Published2022
Admission routes2
Has abstractyes

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