MétaCan
Menu
Back to cohort
Record W2005290625 · doi:10.1152/ajpendo.00037.2001

Accelerated substrate cycling: a new energy-wasting role for leptin in vivo

2002· article· en· W2005290625 on OpenAlexaff
Shannon P. Reidy, Jean‐Michel Weber

Bibliographic record

VenueAmerican Journal of Physiology-Endocrinology and Metabolism · 2002
Typearticle
Languageen
FieldMedicine
TopicAdipose Tissue and Metabolism
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsLipolysisChemistryLeptinThermogenesisEndocrinologyInternal medicineIn vivoSubstrate (aquarium)Fatty acidAdipose tissueBiochemistryBiologyObesityMedicine

Abstract

fetched live from OpenAlex

Simultaneous lipolysis and reesterification form the triacylglycerol/fatty acid (TAG/FA) cycle, a substrate cycle commonly used for thermogenesis. Its rate was measured in vivo by indirect calorimetry and continuous infusion of [2-(3)H]glycerol and [1-(14)C]palmitate, after injection of leptin or vehicle saline in rabbits. Leptin stimulated in vivo lipolysis from 9.66 +/- 0.62 to 14.78 +/- 0.93 micromol x kg(-1) x min(-1), the rate of appearance of FA from 20.69 +/- 2.14 to 29.03 +/- 3.03 micromol x kg(-1) x min(-1), and TAG/FA cycling from 24.82 +/- 1.73 to 37.09 +/- 2.49 micromol FA x kg(-1) x min(-1). This large increase in total cycling was caused by an 85% rise in primary cycling (reesterification without transit in the circulation) and accounted for 14% of the difference in metabolic rate between the controls and the leptin-treated animals. This study shows that leptin causes a strong activation of TAG/FA cycling, lipolysis, and FA oxidation, shifting fuel preference from carbohydrates to lipids. Therefore, the acceleration of substrate cycling is a new mechanism triggered by leptin to increase metabolic rate, besides the known induction of uncoupling proteins.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.643
Threshold uncertainty score0.949

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.001
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 head0.030
GPT teacher head0.280
Teacher spread0.250 · 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

Citations62
Published2002
Admission routes1
Has abstractyes

Explore more

Same venueAmerican Journal of Physiology-Endocrinology and MetabolismSame topicAdipose Tissue and MetabolismFrench-language works237,207