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Record W2900351751 · doi:10.1101/gad.320911.118

Cross-regulatory circuits linking inflammation, high-fat diet, and the circadian clock

2018· letter· en· W2900351751 on OpenAlexfundno aff
Frédéric Gachon, Jake Yeung, Félix Naef

Bibliographic record

VenueGenes & Development · 2018
Typeletter
Languageen
FieldNeuroscience
TopicCircadian rhythm and melatonin
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaÉcole Polytechnique Fédérale de LausanneSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungNational Science Foundation
KeywordsBiologyCircadian clockInflammationCircadian rhythmCell biologyNeuroscienceImmunology

Abstract

fetched live from OpenAlex

Mammalian physiology resonates with the daily changes in the external environment, allowing processes such as rest–activity cycles, metabolism, and body temperature to synchronize with daily changes in the surroundings. Studies have identified the molecular underpinnings of robust oscillations in gene expression occurring over the 24-h day, but how acute or chronic perturbations modulate gene expression rhythms, physiology, and behavior is still relatively unknown. In this issue of Genes & Development , Hong and colleagues (pp. 1367–1379) studied how acute and chronic inflammation interacts with the circadian clock. They found that NF-κB signaling can modify chromatin states and modulate expression of genes in the core clock network as well as circadian locomotor behavior. Interestingly, a high-fat diet (HFD) fed to mice also triggers this inflammation pathway, suggesting that cross-regulatory circuits link inflammation, HFD, and the circadian clock.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.525
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.020
GPT teacher head0.237
Teacher spread0.216 · 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.

Study designNot applicable
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

Citations23
Published2018
Admission routes1
Has abstractyes

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