Role of Triacylglycerol Hydrolase and Apolipoprotein E in Hepatic Lipid Droplet Metabolism
Bibliographic record
Abstract
The objective of the study was to address the roles of triacylglycerol hydrolase (TGH) and apolipoprotein E (apoE) in the mobilization of hepatic triacylglycerol (TG) stores for very‐low density lipoprotein (VLDL) assembly. TGH and apoE associate with the same pool of hepatic luminal lipid droplets (LLD) and potentially interact with each other. Lack of TGH or apoE expression alters hepatic TG storage in both the cytosolic lipid droplets (CLD) and in the luminal lipid droplets (LLD), suggesting a crosstalk between the two lipid storage pools. Metabolic labeling studies revealed that ectopic expression of TGH channels the cytosolic rather than the luminal pool of TG for VLDL secretion. Accordingly, it is also observed by confocal imaging that the absence of TGH or apoE alters CLD morphology and distribution in hepatocytes. Apo E deficiency results in redistribution of LLD‐associated proteins, suggesting a role for apoE in altering LLD protein composition. ApoE is also found to translocate to CLD in TGH deficient hepatocytes, indicating correlated roles of TGH and apoE. It is concluded that TGH, in concert with apoE, channels mainly CLD‐TG for VLDL secretion and plays a critical role in regulating lipid droplet formation, morphology and protein composition. Supported by the a grant from the Canadian Institutes of Health Research
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".