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Record W4385829462 · doi:10.1101/2023.08.13.553117

A PD-1-ST2 axis controls Th2 effector function in tissue via a metabolic checkpoint

2023· preprint· en· W4385829462 on OpenAlexafffund
Graham A. Heieis, Bart Everts, Craig W. Roberts, Rick M. Maizels, Georgia Perona‐Wright

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2023
Typepreprint
Languageen
FieldImmunology and Microbiology
TopicIL-33, ST2, and ILC Pathways
Canadian institutionsUniversity of British Columbia
FundersMedical Research CouncilCanadian Institutes of Health ResearchUniversity of GlasgowWellcome TrustUniversity of British ColumbiaUniversiteit Leiden
KeywordsEffectorGlycolysisOxidative phosphorylationImmune systemCell biologyBiologyMetabolismImmunologyReceptorT cellCancer researchBiochemistry

Abstract

fetched live from OpenAlex

Abstract Type 2 immune responses characterise both helminth infections and atopic disease such as allergy or asthma, but a better understanding of the mechanisms that regulate these responses is key to improving therapeutic and vaccination strategies. Immuno-metabolic studies over the last two decades have suggested T cell activation broadly requires rapid increases in glycolysis and oxidative phosphorylation. In contrast, we show that CD4 + T helper 2 (Th2) cells activated in vivo , using models of helminth infection, do not acquire a glycolytic metabolism. Instead, we show that Th2 cells solely increase their oxidative metabolism, associated with increased fatty acid uptake. Rather than contributing directly to effector function, our data reveal that Th2 cells switch to fatty acid oxidation downstream of PD-1 signalling to promote expression of the IL-33 receptor (ST2). These data provide insight into the spatial regulation of T cell metabolism, and suggest that PD-1 blockade therapies may be effective in Th2 disorders.

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 score0.005
Threshold uncertainty score0.018

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 communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.002

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 head0.015
GPT teacher head0.218
Teacher spread0.204 · 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

Citations1
Published2023
Admission routes2
Has abstractyes

Explore more

Same venuebioRxiv (Cold Spring Harbor Laboratory)Same topicIL-33, ST2, and ILC PathwaysFrench-language works237,207