Short-term Effects of Elevated Levels of Glucocorticoids on Lipolysis in Differentiated Murine White Adipocytes
Bibliographic record
Abstract
Adipose tissue (AT) is a dynamic organ that can change its morphology in response to environmental cues. Expansion or compression in the size of AT depends on the balance between lipogenesis (biosynthesis and storage of triglycerides) and lipolysis (hydrolysis of triglycerides) which can be affected by steroid hormones such as glucocorticoids (GCs). GCs can work through binding to the glucocorticoid receptor (GR-mediated effects) or exert non-GR mediated effects, which are currently understudied in AT. The purpose of this thesis was to expand the knowledge about GR and non-GR mediated effects of GCs on lipolysis in AT, with a primary focus on elucidating the mechanism behind the non-GR mediated effects of GCs on white adipose tissue (WAT) lipolysis. In this study, 3T3-L1 cells were used as a model of WAT and it was evident that elevated GC levels could decrease lipolysis in short durations, through effects that were independent of GR and gene transcription.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".