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Record W2885098536 · doi:10.1080/21623945.2018.1504591

Circulating fibroblast growth factor 21 is reduced, whereas its production is increased in a fat depot-specific manner in cold-acclimated rats

2018· article· en· W2885098536 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.

Bibliographic record

VenueAdipocyte · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicFibroblast Growth Factor Research
Canadian institutionsYork University
Fundersnot available
KeywordsFGF21EndocrinologyInternal medicineParacrine signallingAutocrine signallingBrown adipose tissueWhite adipose tissueAdipose tissueBiologyFibroblast growth factorReceptorChemistryMedicine

Abstract

fetched live from OpenAlex

This study investigated the effects of cold acclimation on circulating fibroblast growth factor 21 (FGF21) levels, as well as its production and signaling in classical brown and white adipose tissues. Male Wistar rats were cold (4°C) acclimatized for 7 days. Subsequently, liver, interscapular and aortic BAT (iBAT and aBAT), and the Sc Ing and epididymal (Epid) white adipose tissues were extracted. Cold acclimation significantly reduced circulating FGF21 and its liver expression. Conversely, FGF21 content increased in iBAT, aBAT and Sc Ing fat depots, along with the expressions of the Fgf21 receptor and the receptor co-factor β-klotho. Cold acclimation increased FGF21 secretion from Sc Ing and Epid adipocytes, although only iBAT and Sc Ing fat depots enhanced ERK1/2 phosphorylation. These findings provide evidence that FGF21 acts in an autocrine/paracrine manner in iBAT and Sc Ing fat depots under cold-acclimating conditions and may contribute to driving depot-specific thermogenic adaptive responses.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.017
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.025
GPT teacher head0.277
Teacher spread0.252 · 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