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Record W7028227584

The effects of endocannabinoids and fatty acids on lipid metabolism and mitochondrial function in adipocytes

2016· dissertation· en· W7028227584 on OpenAlexafffund

Bibliographic record

VenueMspace (University of Manitoba) · 2016
Typedissertation
Languageen
FieldMedicine
TopicCannabis and Cannabinoid Research
Canadian institutionsUniversity of Manitoba
FundersNatural Sciences and Engineering Research Council of CanadaResearch Manitoba
KeywordsLipolysisEndocannabinoid systemAdipose tissueLipid metabolismFatty acidMetabolismFunction (biology)MitochondrionBeta oxidation
DOInot available

Abstract

fetched live from OpenAlex

The endocannabinoid (EC) system has a role in metabolic homeostasis. The purpose of this study was to determine the effect of ECs and the fatty acids they are derived from on lipid metabolism and mitochondrial function in adipocytes. 3T3-L1 adipocytes on day 8 of differentiation were treated with ECs and fatty acids for 48 hours in the absence or presence of insulin and various inhibitors. Lysates were analyzed via Western immunoblotting, a lipolysis assay and Seahorse XF Analyzer for changes in protein levels, phosphorylation state, lipolysis, and oxygen consumption rate. Results showed that ECs (2-arachidonoyl glycerol) stimulated lipolysis via a novel AMPK-dependent pathway, while fatty acids had varying effects on insulin signaling and mitochondrial function . These data suggest adipose tissue EC receptors may be a suitable target for anti-obesity therapy. Further research is needed to understand how the dietary fatty acid profile may influence synthesis of ECs.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.219
Teacher spread0.213 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2016
Admission routes2
Has abstractyes

Explore more

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