PPAR-δ rather than PPAR-γ is likely to be the key modulator of central carbon metabolism in human adipocytes
Bibliographic record
Abstract
Abstract Adipogenesis involves adipocyte differentiation and synthesis and storage of fats. PPAR-γ is the master regulator of adipogenesis and regulates genes for adipocyte differentiation, lipogenesis, adipocyte survival and adipokine secretion. Central carbon metabolism (CCM) comprises of three key pathways, glycolysis, tricarboxylic acid cycle and pentose phosphate pathway. CCM utilizes carbon sources to provide energy and building blocks for lipogenesis. Although several targets of PPAR-γ have been identified in the CCM pathways, the exact process of how PPAR-γ modulates adipogenesis via CCM remains elusive. In this study, we used real time-qPCR and metabolic arrays for CCM to understand the effect of PPAR activation by PPAR-γ agonist 15d-PGJ2 on CCM and its role in adipogenesis. Our data show that PPAR-δ is likely the target of 15d-PGJ2 and the key modulator of adipogenesis in human SGBS adipocytes at least under current experimental conditions. Further studies are warranted to fully understand the regulation of CCM in adipocytes.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".