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Record W2791616753 · doi:10.1515/hmbci-2018-0003

White and beige adipocytes: are they metabolically distinct?

2018· review· en· W2791616753 on OpenAlexafffund
Diane M. Sepa-Kishi, Rolando B. Ceddia

Bibliographic record

VenueHormone Molecular Biology and Clinical Investigation · 2018
Typereview
Languageen
FieldMedicine
TopicAdipose Tissue and Metabolism
Canadian institutionsYork University
FundersNatural Sciences and Engineering Research Council of CanadaCanada Foundation for InnovationOntario Research Foundation
KeywordsThermogeninWhite adipose tissueBrowningBrown adipose tissueThermogenesisAdipose tissueCompartment (ship)StimulationInternal medicineEndocrinologyBiologyEnergy expenditureCell biologyBiochemistryMedicine

Abstract

fetched live from OpenAlex

The white adipose tissue (WAT) exhibits great plasticity and can undergo "browning" and acquire features of the brown adipose tissue (BAT), which takes place following cold exposure, chronic endurance exercise or β3-adrenergic stimulation. WAT that underwent browning is characterized by the presence of "beige" adipocytes, which are morphologically similar to brown adipocytes, express uncoupling protein 1 (UCP1) and are considered thermogenically competent. Thus, inducing a BAT-like phenotype in the WAT could promote energy dissipation within this depot, reducing the availability of substrate that would otherwise be stored in the WAT. Importantly, BAT in humans only represents a small proportion of total body mass, which limits the thermogenic capacity of this tissue. Therefore, browning of the WAT could significantly expand the energy-dissipating capacity of the organism and be of therapeutic value in the treatment of metabolic diseases. However, the question remains as to whether WAT indeed changes its metabolic profile from an essentially fat storage/release compartment to an energy dissipating compartment that functions much like BAT. Here, we discuss the differences with respect to thermogenic capacity and metabolic characteristics between white and beige adipocytes to determine whether the latter cells indeed significantly enhance their capacity to dissipate energy through UCP1-mediated mitochondrial uncoupling or by the activation of alternative UCP1-independent futile cycles.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.978
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.067
GPT teacher head0.400
Teacher spread0.333 · 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 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

Citations31
Published2018
Admission routes2
Has abstractyes

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