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Record W2103670077 · doi:10.1667/rr2449.1

Combined CXCR1/CXCR2 Antagonism Decreases Radiation-Induced Alveolitis in the Mouse

2011· article· en· W2103670077 on OpenAlexaff
Jessica Fox, John Gordon, Christina K. Haston

Bibliographic record

VenueRadiation Research · 2011
Typearticle
Languageen
FieldMedicine
TopicEffects of Radiation Exposure
Canadian institutionsUniversity of SaskatchewanRoyal University HospitalMcGill University
Fundersnot available
KeywordsFibrosisPulmonary fibrosisLungPneumonitisAntagonismMedicineCXC chemokine receptorsPathologyImmunologyInternal medicineReceptorChemokine

Abstract

fetched live from OpenAlex

The mechanisms leading to the radiation-induced lung responses of alveolitis and fibrosis are largely unknown. Herein we investigated whether CXC receptor 1 and 2 antagonism with CXCL8((3-72))K11R/G31P (G31P), a protein that reduces neutrophil chemotaxis in acute inflammatory response models, decreases the lung response to radiation. Mice of the AKR/J (alveolitis/pneumonitis responding) and KK/HIJ (fibrosis) strains received 18 Gy whole-thorax irradiation and a subset of these mice were treated with G31P (500 µg/kg) three times per week from the day of irradiation until euthanasia due to respiratory distress symptoms or 20 weeks after radiation treatment. Irradiated mice of both strains receiving G31P survived longer than mice receiving radiation alone. Radiation- and G31P-treated AKR/J mice surviving to the end of the experiment developed significantly less alveolitis, as measured histologically, than mice receiving radiation alone, but this difference was not evident in KK/HIJ mice. Using immunohistochemistry, G31P treatment was shown to increase the numbers of Gr-1-positive cells (neutrophils) in the lungs of unirradiated mice relative to control mice injected with saline, but the antagonist did not alter the numbers of Gr-1-positive cells in the lungs of radiation-treated mice. We conclude that G31P treatment reduces radiation-induced alveolitis but not fibrosis in mice.

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)0.003
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation 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 score0.203
Threshold uncertainty score0.622

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.101
GPT teacher head0.385
Teacher spread0.284 · 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 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

Citations17
Published2011
Admission routes1
Has abstractyes

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