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Record W2135629521 · doi:10.1586/17446651.2.5.641

Role of PPARγ in adipocyte recruitment and thermogenesis

2007· article· en· W2135629521 on OpenAlexaff
Edoardo Dalla Nora, Sarah L. Gray, Antonio Vidal‐Puig

Bibliographic record

VenueExpert Review of Endocrinology & Metabolism · 2007
Typearticle
Languageen
FieldMedicine
TopicAdipose Tissue and Metabolism
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsThermogenesisAdipocyteBrown adipose tissueThermogeninBiologyPeroxisome proliferator-activated receptorWhite adipose tissueInternal medicineEndocrinologyTranscription factorAdipose tissueCell biologyReceptorGeneMedicineBiochemistry

Abstract

fetched live from OpenAlex

PPARγ is an important transcription factor in the process of adipocyte recruitment and differentiation. Its relevance in vivo has been clearly observed using genetically modified animal models with different degrees of PPARγ function impairment. These animals showed defects in white and brown adipose tissue development and plasticity. Also, the use of PPARγ synthetic activators provided pharmacological evidence for the role of PPARγ as a modulator of adipose tissue plasticity and function. Aside from its well-established role in white adipocyte differentiation, PPARγ also plays a role in brown adipocyte differentiation. Specifically, in brown adipocytes, PPARγ promotes the transcription of genes involved in thermogenesis, such as mitochondrial uncoupling protein (UCP) 1, resulting in enhanced noradrenaline-dependent thermogenesis. PPARγ may also promote the acquirement of a 'brown' phenotype by mature white adipocytes.

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: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.725
Threshold uncertainty score0.754

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
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 head0.035
GPT teacher head0.358
Teacher spread0.323 · 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 designOther design
Domainnot available
GenreReview

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
Published2007
Admission routes1
Has abstractyes

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