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Record W2117970501 · doi:10.1189/jlb.1006652

Fas (CD95) induces macrophage proinflammatory chemokine production via a MyD88-dependent, caspase-independent pathway

2007· article· en· W2117970501 on OpenAlexaff
William A. Altemeier, Xiaodong Zhu, William R. Berrington, John M. Harlan, W. Conrad Liles

Bibliographic record

VenueJournal of Leukocyte Biology · 2007
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCell death mechanisms and regulation
Canadian institutionsCentre for Global Health ResearchUniversity of Toronto
FundersNational Institute of Allergy and Infectious DiseasesNational Heart, Lung, and Blood InstituteNational Institutes of Health
KeywordsChemokineProinflammatory cytokineCXCL2BiologyCell biologyFas receptorCCL21CXC chemokine receptorsChemokine receptorCXCL1CC chemokine receptorsImmunologyInflammationApoptosisProgrammed cell deathBiochemistry

Abstract

fetched live from OpenAlex

Activation of the prototypical death receptor, Fas (CD95), can induce both caspase-dependent cell death and production of proinflammatory chemokines, leading to neutrophil recruitment and end-organ injury. The precise mechanism(s) by which Fas up-regulates chemokine production and release, is currently unclear. We hypothesized that Fas-induced chemokine release by macrophages is dependent on the MyD88 adaptor molecule and independent of caspase activity. To test this hypothesis, we measured chemokine response to Fas activation both in RAW 264.7 cells with RNAi-attenuated MyD88 expression and in MyD88-deficient primary macrophages. We found that Fas-induced chemokine release was abrogated in the absence of MyD88. In vivo, MyD88(-/-) mice had impaired CXCL1/KC release and polymorphonuclear cell recruitment in response to intratracheal treatment with the Fas-activating monoclonal antibody, Jo-2. Furthermore, Fas-induced chemokine release was not dependent on either IL-1 receptor signaling or on caspase activity. We conclude that MyD88 plays an integral role in Fas-induced macrophage-mediated inflammation.

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 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 score0.030
Threshold uncertainty score0.756

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.009
GPT teacher head0.250
Teacher spread0.241 · 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

Citations42
Published2007
Admission routes1
Has abstractyes

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