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Record W1488310572 · doi:10.1080/23328940.2015.1011564

Regulation of brown adipose tissue recruitment, metabolism and thermogenic function by peroxisome proliferator-activated receptor<b>γ</b>

2015· review· en· W1488310572 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

VenueTemperature · 2015
Typereview
Languageen
FieldMedicine
TopicAdipose Tissue and Metabolism
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsThermogenesisBrown adipose tissueAdipose tissueThermogeninEndocrinologyInternal medicineLipolysisPeroxisome proliferator-activated receptorReceptorBiologyPRDM16White adipose tissueHomeothermyPeroxisomeCell biologyThermoregulationMedicine

Abstract

fetched live from OpenAlex

Brown adipose tissue contributes importantly to homeothermy and energy balance in rodents due its ability under demand to produce heat through a process denominated nonshivering thermogenesis. Such thermogenic ability of brown adipocytes relies on the activity of mitochondrial uncoupling protein 1 that, when properly activated, dissipates energy from oxidative metabolism as heat. Brown adipose tissue sympathetic innervation through norepinephrine release not only induces brown adipocyte lipolysis and thermogenesis, but also acts as the major determinant of tissue mass, cellularity and mitochondrial content. Several pieces of evidence gathered over the years indicate that, in addition to tissue sympathetic innervation, the nuclear receptor peroxisome proliferator-activated receptor γ plays an important role in regulating the development, metabolism and thermogenic function of brown adipose tissue. Herein we review the main evidence supporting such key role of peroxisome proliferator-activated receptor γ to brown fat biology and discuss the future directions of this important area of research.

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), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.936
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.055
GPT teacher head0.330
Teacher spread0.275 · 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