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Record W2130515702 · doi:10.1051/medsci/2009258-9699

Le neutrophile : ennemi ou ami ?

2009· review· fr· W2130515702 on OpenAlexaff
Aline Dumas, Marc Pouliot

Bibliographic record

Venuemédecine/sciences · 2009
Typereview
Languagefr
FieldBiochemistry, Genetics and Molecular Biology
TopicAdenosine and Purinergic Signaling
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsNeutrophileMedicineMolecular biologyInflammationImmunologyBiology

Abstract

fetched live from OpenAlex

Neutrophils are well-recognized phagocytes in the first line of host defense, and are also a major source of pro-inflammatory cytokines, chemokines and lipid mediators, thereby contributing to the onset and early orchestration of the inflammatory response. In contrast, recent studies indicate that neutrophils have tools to limit the magnitude and length of an inflammatory response, and may take part in engaging the resolution process. This article describes endogenous signals that may transform the phenotype of a neutrophil: from a pro-inflammatory cell to one that promotes resolution. Adenosine, an autacoid which can be found at high concentrations in inflammatory sites, inhibits several inflammatory functions of the neutrophil via engagement of the A2A receptor and reshapes the profile of lipid mediators and cytokines released, causing cells to terminate the release of pro-inflammatory signals while progressing toward resolution. These endogenous resolution pathways may represent a key target for better treatments of inflammatory diseases.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.761
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
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 head0.040
GPT teacher head0.312
Teacher spread0.272 · 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.

Study designNot applicable
Domainnot available
GenreReview

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

Citations5
Published2009
Admission routes1
Has abstractyes

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