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Record W3201052409 · doi:10.1111/imm.13417

Prostaglandin E <sub>2</sub> directly inhibits the conversion of inducible regulatory T cells through EP2 and EP4 receptors via antagonizing TGF‐β signalling

2021· article· en· W3201052409 on OpenAlexaff
Marie Goepp, Siobhan Crittenden, You Zhou, Adriano G. Rossi, Shuh Narumiya, Chengcan Yao

Bibliographic record

VenueImmunology · 2021
Typearticle
Languageen
FieldImmunology and Microbiology
TopicT-cell and B-cell Immunology
Canadian institutionsInstitute of Infection and Immunity
FundersMedical Research CouncilUniversity of EdinburghCancer Research UK
KeywordsProstaglandin E2 receptorCell biologyReceptorEffectorFOXP3SignallingCellular differentiationBiologySignal transductionInflammationCell growthImmunologyImmune systemBiochemistry

Abstract

fetched live from OpenAlex

Abstract Regulatory T (Treg) cells are essential for control of inflammatory processes by suppressing effector T‐cell functions. The actions of PGE 2 on the development and function of Treg cells, particularly under inflammatory conditions, are debated. In this study, we employed pharmacological and genetic approaches to examine whether PGE 2 had a direct action on T cells to modulate de novo differentiation of Treg cells. We found that TGF‐β‐induced Foxp3 expression and iTreg cell differentiation in vitro is markedly inhibited by PGE 2 , which was mediated by the receptors EP2 and EP4. Mechanistically, PGE 2 ‐EP2/EP4 signalling interrupts TGF‐β signalling during iTreg differentiation. Moreover, EP4 deficiency in T cells impaired iTreg cell differentiation in vivo. Thus, our results demonstrate that PGE 2 negatively regulates iTreg cell differentiation through a direct action on T cells, highlighting the potential for selectively targeting the PGE 2 ‐EP2/EP4 pathway to control T cell‐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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

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)0.0020.000

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 head0.012
GPT teacher head0.206
Teacher spread0.194 · 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 source (direct Gemma or distilled Codex), 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

Citations22
Published2021
Admission routes1
Has abstractyes

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