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Record W4404106664 · doi:10.1073/pnas.2419751121

Linking metabolic and epigenetic changes in immune tolerance

2024· letter· en· W4404106664 on OpenAlexaff
Frederick J. Sheedy, Eva Kaufmann

Bibliographic record

VenueProceedings of the National Academy of Sciences · 2024
Typeletter
Languageen
FieldImmunology and Microbiology
TopicImmune responses and vaccinations
Canadian institutionsQueen's University
FundersScience Foundation Ireland
KeywordsEpigeneticsImmune systemEpigenesisBiologyGeneticsDNA methylationGeneGene expression

Abstract

fetched live from OpenAlex

Abhimanyu et al. investigated how immune stimulation in severe infections links with long-term decreased immune responsiveness through metabolically mediated initiation of DNA hypermethylation at innate immune genes ( 1 ).Importantly, the authors show that blocking this pathway will prevent and potentially restore immune function.This fundamental finding represents therapeutic opportunity for reduction of morbidity and mortality after resolution of severe infections.While severe infections initially lead to strong immune activation, it is often overlooked that this activation may tip toward an immune-tolerant phenotype ( 2 )-the reduced capacity of immune cells to respond to subsequent challenge.Evolution arily, the advantage of tolerance is the prevention of hyperinflammatory phenotypes and autoimmunity, limiting further complications for the host.However, immune tolerance by no means is a cure.While in the short run preventing further inflammation and enabling tissue repair, prolonged cellular tolerance can equally result in increased morbidity and mortality in patients, even after previous successful antimicrobial

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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.713
Threshold uncertainty score0.397

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.031
GPT teacher head0.292
Teacher spread0.261 · 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

Citations1
Published2024
Admission routes1
Has abstractyes

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