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Record W2132545930 · doi:10.1189/jlb.0110001

Anti-inflammatory properties of the PI3K pathway are mediated by IL-10/DUSP regulation

2010· article· en· W2132545930 on OpenAlexfundno aff
Philipp Günzl, K. H. Bauer, Eva Hainzl, Ulrich Matt, Barbara Dillinger, B. Mahr, Sylvia Knapp, Bernd R. Binder, Gernot Schabbauer

Bibliographic record

VenueJournal of Leukocyte Biology · 2010
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPI3K/AKT/mTOR signaling in cancer
Canadian institutionsnot available
FundersUniversity of Toronto
KeywordsPTENPI3K/AKT/mTOR pathwayBiologyInflammationSignal transductionCell biologyInnate immune systemCytokineMAPK/ERK pathwayImmune systemImmunologyCancer research

Abstract

fetched live from OpenAlex

Resolution of inflammation is an important hallmark in the course of infectious diseases. Dysregulated inflammatory responses may have detrimental consequences for the affected organism. Therefore, tight regulation of inflammation is indispensable. Among numerous modulatory signaling pathways, the PI3K/PTEN signaling pathway has been proposed recently to be involved in the regulation of innate immune reactions. Here, we attempted to elucidate molecular mechanisms that contribute to the modulatory properties of the PI3K signaling pathway in inflammation. PTEN-deficient macrophages, which harbor constitutively active PI3Ks, were analyzed in response to gram-negative bacteria and PAMPs such as LPS. PTEN-deficient cells showed reduced inflammatory cytokine production, which was accompanied by reduced MAPK signaling activation in early- as well as late-phase activation. Simultaneously, we found increased levels of the MKP DUSP1, as well as the anti-inflammatory cytokine IL-10. Our data suggest that differential DUSP1 regulation coupled with enhanced IL-10 production contributes to the anti-inflammatory properties of the PI3K pathway.

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 score0.100
Threshold uncertainty score0.401

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 head0.010
GPT teacher head0.221
Teacher spread0.211 · 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

Citations63
Published2010
Admission routes1
Has abstractyes

Explore more

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