Evidence for a Novel Key Regulatory Step in the Triglyceride Synthetic Pathway of Human Adipose Tissue
Bibliographic record
Abstract
The triglyceride (TG) synthetic pathway is believed to be regulated at the level of the rate-limiting enzyme acyl-CoA:1,2-diacylglycerol O-acyltransferase (DGAT). Recent reports using rat hepatic tissue suggest a kinase-dependent mechanism for the regulation of DGAT activity. To examine this process further, the present study investigates the regulatory mechanisms involved in the modulation of DGAT in human adipocytes. Adipocytes were fractionated into a microsomal fraction containing DGAT and a cytosolic fraction containing a putative regulatory kinase. DGAT activity was determined bymeasuring the incorporation of 14C-oleoyl-CoA into TG with exogenously supplied 1,2-dioleoyl-sn-glycerol. Kinase activity was assayed by addition of the cytosolic fraction in the presence of Mg2+ and ATP. The results indicate a significant inhibition of human adipose tissue DGAT activity by as much as 43% (avg: 17.5% ± 10.4%, p < 0.01) via a mechanism consistent with a phosphorylation event. Partial purification of the putative cytosolic kinase was achieved by multidimensional chromatography. This study thus provides evidence for a novel and key regulatory step in the human TG biosynthetic pathway. Further research is necessary to determine whether the model outlined here is a physiologic conduit through which extracellular hormones exert a regulatory influence on TG synthesis.
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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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".