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Record W3096960700 · doi:10.1016/j.cofs.2020.10.023

Dynamic remodeling of white adipose tissue by intermittent fasting

2020· article· en· W3096960700 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueCurrent Opinion in Food Science · 2020
Typearticle
Languageen
FieldMedicine
TopicDietary Effects on Health
Canadian institutionsHospital for Sick ChildrenUniversity of Toronto
FundersBanting and Best Diabetes Centre, University of TorontoNatural Sciences and Engineering Research Council of CanadaCanadian Institutes of Health Research
KeywordsWhite adipose tissueAdipose tissueMedicineInternal medicine

Abstract

fetched live from OpenAlex

Excessive accumulation of white adipose tissue (WAT) is a hallmark of obesity and perturbs systemic metabolism. Intermittent Fasting (IF) is a periodic and repeated energy restriction strategy utilized to combat obesity and improve metabolic parameters. Many studies have shown that one of the main targets of IF is WAT. This heterogenous organ is sensitive to nutritional conditions and undergoes dynamic remodeling to mediate IF benefits. In this review, we aim to discuss the impact of IF on various WAT cell components including adipocytes, adipocyte precursor cells (APCs), immune cells, and vascular cells. Furthermore, we highlight areas of research that require further exploration and propose overarching mechanisms that may mediate IF benefits observed in preclinical models.

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.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.939
Threshold uncertainty score0.469

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.083
GPT teacher head0.385
Teacher spread0.302 · 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