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Record W2072445447 · doi:10.1186/1710-1492-6-s3-p5

Examining the role of arginase in air pollution-induced exacerbation of asthma

2010· article· en· W2072445447 on OpenAlexafffundvenue
Michelle L. North, Hajera Amatullah, N. M. KHANNA, Bruce Urch, Mary Speck, Hartmut Grasemann, Frances Silverman, Jeremy A. Scott

Bibliographic record

VenueAllergy Asthma and Clinical Immunology · 2010
Typearticle
Languageen
FieldMedicine
TopicAsthma and respiratory diseases
Canadian institutionsUniversity of TorontoSt. Michael's Hospital
FundersCanadian Institutes of Health ResearchNational Sanitarium Association
KeywordsArginaseAsthmaAsthma exacerbationsExacerbationAir pollutionPollutionEnvironmental scienceEnvironmental healthChemistryMedicineImmunologyBiologyBiochemistryEcology

Abstract

fetched live from OpenAlex

The arginase isozymes (arginase 1 and 2), convert L-arginine into L-ornithine and urea, and thus compete with the nitric oxide synthase isozymes for substrate. We have previously shown that arginase 1 expression is upregulated in human asthma and plays a functional role in airways hyperresponsiveness (AHR) in an animal model of allergic airways inflammation. Ambient particles and ozone are major constituents of urban air pollution and contribute to asthma exacerbations. However, the mechanisms underlying the exacerbation of allergic airways disease by air pollution remain to be elucidated. There is evidence that arginase expression is augmented in cigarette smoking asthmatics. We tested the hypothesis that arginase is involved in the exacerbation of respiratory symptoms in response to air pollution in animal models of allergic airways inflammation. We used sub-acute (16-day) and chronic (12-week) murine models of ovalbumin (OVA)-induced allergic airways inflammation as models of asthma. All mice were sensitized to OVA, and then randomized to aerosol challenge with PBS (control; OVA/PBS) or OVA (allergic airways inflammation; OVA/OVA). Twenty-four hours after the final OVA or PBS challenge, mice underwent a combined exposure to concentrated ambient fine particles plus ozone (CAP+O 3 ), or filtered air. Following exposure, mice were treated with either the arginase inhibitor S -boronoethyl l-cysteine (BEC; 40 μg/g b.w.), or vehicle (PBS), by direct nebulization into the airways. After determination of the airways responsiveness to methacholine using the flexiVent, tissues were harvested for Western blotting, activity testing and immunohistochemistry. Exposure to CAP+O 3 augmented the AHR in the OVA/OVA mice with no significant effect on the OVA/PBS controls in both the sub-acute and chronic models. Expression of arginase 1 and total arginase activity were significantly augmented in OVA/OVA mice exposed to CAP+O 3 , compared to filtered air. Immunohistochemistry revealed that arginase 1 expression was specifically up-regulated in the peribronchiolar region following CAP+O 3 exposure in OVA/OVA mice. Treatment with BEC significantly reduced the pollution-induced AHR in CAP+O 3 -exposed OVA/OVA mice in both the sub-acute and chronic murine models to control levels. This study demonstrates that arginase 1 is up-regulated following environmental exposures in murine models of allergic airways inflammation. Attenuation of airways hyperresponsiveness by arginase inhibition suggests that this pathway is a promising candidate for future therapies to prevent or treat air pollution-induced exacerbation of allergic symptoms.

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 score0.002

Distilled classifier scores by category (both heads)

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 integrity0.0000.001
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 head0.019
GPT teacher head0.297
Teacher spread0.279 · 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

Citations1
Published2010
Admission routes3
Has abstractyes

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