MétaCan
Menu
Back to cohort
Record W2052000936 · doi:10.1159/000240898

Rat Fetal Brown Adipose Tissue in vitro: Effects of Hormones and Ambient Temperature

2009· article· en· W2052000936 on OpenAlexaff
J. Frohlich, Peter Hahn, L. Kirby, William A. Webber

Bibliographic record

VenueBiology of the Neonate · 2009
Typearticle
Languageen
FieldMedicine
TopicAdipose Tissue and Metabolism
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsInternal medicineEndocrinologyFetusBrown adipose tissueIncubationGlucagonPhosphoenolpyruvate carboxykinaseBiologyPyruvate kinaseAdipose tissueHormoneInsulinEnzyme assayEnzymeMetabolismPregnancyMedicineBiochemistryGlycolysis

Abstract

fetched live from OpenAlex

Interscapular brown adipose tissue (BAT) from fetal rats was maintained in Eagle’s minimal essential medium for 6–24 h at 37 or 25 °C. Pyruvate kinase (PK), cytoplasmic and mitochondrial α-glycerophosphate dehydrogenase and phosphoenolpyruvate carboxykinase (PEPK) activities were determined at the start and end of incubation. During prenatal development, the activities of all enzymes, except PK, increased significantly. During incubation at 37 °C, PEPK activity decreased by about 60% in 24 h. The other enzyme activities also fell to a lesser extent. Only the mitochondrial enzyme remained unchanged. Both glucagon and insulin significantly slowed down the fall in PEPK activity. Norepinephrine added every hour for 6 h increased PEPK activity, but only in BAT from fetal rats weighing less than 3.5 g. Incubation at 25 °C largely prevented the decrease in enzyme activities seen at 37 °C. Fetal liver reacted in the opposite way. At 37 °C, PEPK activity increased while at 25 °C it decreased. However, postnatal liver responded to incubation temperature like fetal BAT. It is postulated that the initial level of PEPK (high in fetal BAT and postnatal liver and low in prenatal liver) plays a role in the in vitro response.

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)0.000
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.122
Threshold uncertainty score0.269

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.006
GPT teacher head0.247
Teacher spread0.241 · 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 designBench or experimental
Domainnot available
GenreEmpirical

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

Citations7
Published2009
Admission routes1
Has abstractyes

Explore more

Same venueBiology of the NeonateSame topicAdipose Tissue and MetabolismFrench-language works237,207