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Depletion of CD8<sup>+</sup> T cells enhances airway remodelling in a rodent model of asthma

2008· article· en· W2011230313 on OpenAlexaff
Kimitake Tsuchiya, Susumu Isogai, Meiyo Tamaoka, Naohiko Inase, Takumi Akashi, James G. Martin, Yasuyuki Yoshizawa

Bibliographic record

VenueImmunology · 2008
Typearticle
Languageen
FieldMedicine
TopicAsthma and respiratory diseases
Canadian institutionsMcGill UniversityChristie (Canada)
Fundersnot available
KeywordsOvalbuminBronchoalveolar lavageAirwayCD8ImmunologyInflammationBronchoconstrictionMedicineLungAsthmaAntigenBiologyInternal medicineAnesthesia

Abstract

fetched live from OpenAlex

Airway remodelling is induced by persistent airway inflammation and may lead to severe asthma. T cells play a pivotal role in asthmatic airway inflammation but their role in remodelling is poorly understood. Although previous studies have revealed that CD8(+) T cells inhibit the late airway response and airway inflammation in a rat model of asthma, their effects on airway remodelling have not been evaluated. The aim of this study was to examine the role of CD8(+) T cells in airway remodelling. Brown Norway rats were sensitized with ovalbumin (OVA) on day 0. CD8(+) T cells in rats were depleted during the repeated challenges by treating them with a CD8alpha monoclonal antibody (OX-8). Control rats were treated with mouse ascites. Sensitized rats were challenged with OVA on days 14, 19 and 24 or were sham challenged with phosphate-buffered saline. On day 29, bronchoalveolar lavage and lung tissues were harvested. Repeated OVA inhalations evoked significant increases in the numbers of periodic acid-Schiff-positive epithelial cells and proliferating cell nuclear antigen-positive epithelial cells, and in airway smooth muscle mass compared to the control group. CD8-depleted rats had significant enhancement of these changes, principally affecting the large airways. These results suggest that endogenous CD8(+) T cells have inhibitory effects on airway remodelling in this model of asthma.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.048
Threshold uncertainty score0.414

Codex and Gemma teacher scores by category

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

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 head0.019
GPT teacher head0.251
Teacher spread0.232 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations15
Published2008
Admission routes1
Has abstractyes

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