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Record W2181834544 · doi:10.1189/jlb.69.1.158

Protein kinase C agonists enhance phagocytosis of<i>P. aeruginosa</i>by murine alveolar macrophages

2001· article· en· W2181834544 on OpenAlexaff
John‐Paul Heale, David P. Speert

Bibliographic record

VenueJournal of Leukocyte Biology · 2001
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicVenomous Animal Envenomation and Studies
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsPhagocytosisSodium azideProtein kinase CBiologyMacrophagePseudomonas aeruginosaMicrobiologyTumor necrosis factor alphaIn vitroCell biologyPhenotypePhorbolKinaseImmunologyPharmacologyBiochemistryBacteria

Abstract

fetched live from OpenAlex

Pulmonary alveolar macrophages (AMphis) are incompetent to phagocytose unopsonized Pseudomonas aeruginosa, but ingestion by other macrophage phenotypes (i.e., peritoneal macrophages) occurs efficiently. The purpose of this study was to explore factors that might control such phenotypic differences. Our laboratory has demonstrated that AMphis exposed to sodium azide display enhanced phagocytosis of P. aeruginosa. Here we report that the phagocytic-enhancing effect of sodium azide was abrogated by inhibitors of protein kinase C (PKC). Furthermore, the addition of PKC agonists, such as phorbol myristate acetate (PMA), and tumor necrosis factor alpha (TNF-alpha), mimicked the phagocytic enhancing effect of sodium azide. We conclude that AM4phis are normally incompetent to phagocytose P. aeruginosa. Factors that up-regulate AMphi function (azide, PMA, TNF-alpha) can reverse the phagocytic incompetence in vitro. Although these compounds are not appropriate candidate therapeutic agents, their effects provide insights for understanding of the pathways responsible for regulation of P. aeruginosa phagocytosis.

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 score0.182
Threshold uncertainty score0.589

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 head0.008
GPT teacher head0.267
Teacher spread0.259 · 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

Citations7
Published2001
Admission routes1
Has abstractyes

Explore more

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