Hepatic Lipase Release is Inhibited by a Purinergic Induction of Autophagy
Bibliographic record
Abstract
BACKGROUND/AIMS: We have shown that extracellular adenosine diphosphate (ADP) affects lipoprotein secretion from liver cells by stimulating cellular autophagic degradation. In this study, we investigated the effect of ADP and cellular autophagy on hepatic lipase (HL) release from human liver cells. METHODS/RESULTS: Depletion of media serum stimulates an autophagic response in liver cells, which parallels an 8-fold increase in the release of ADP into the media and a complete inhibition of HL release. Treatment of cells with exogenous ADP stimulates cellular autophagy and also blocks HL release. Treatment with the autophagic stimulant and proteasomal inhibitor, ALLN (25 µM), reduces cellular HL levels and blocks HL release at 4h. In contrast, treatment with the autophagy inhibitor, 3-methyladenine (3-MA) (5 mM), increases cellular HL levels and stimulates HL release. ADP acts through the G-protein coupled receptor, P2Y13, to stimulate autophagy. siRNA-targeted reduction in P2Y13 protein expression stimulates the release of HL by 5 to 8-fold, while overexpression of P2Y13 blocks HL release. HL release from liver cells is therefore inhibited by a purinergic induction of autophagy. To evaluate the effect of extracellular ADP on the processing of HL, we expressed a V5-epitope tag-labeled HL (HL-V5) and then measured secretion, uptake and degradation. Two isoforms of HL-V5, at 62 and 68 kDa, are released from HepG2 cells, but only the 62 kDa protein undergoes reuptake / internalization. The 62 kDa HL-V5 isoform progressively accumulates in the cell over 24h, with no detectible modification or degradation. Treatment of liver cells with ADP has no effect on HL-V5 internalization or degradation at 30 min and 4h. CONCLUSION: These studies show that extracellular nucleotides act to prevent HL accumulation in the media by stimulating cellular autophagic degradation and blocking HL release.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".