Circulating triglyceride lipolysis facilitates lipoprotein lipase translocation from cardiomyocyte to myocardial endothelial lining
Bibliographic record
Abstract
OBJECTIVE: Lipoprotein lipase (LPL) mediated hydrolysis of circulating triglyceride (TG)-rich lipoproteins provides the heart with fatty acids. The present study was designed to investigate the influence of circulating TG and their lipolysis in facilitating translocation of LPL from the underlying cardiomyocyte cell surface to the coronary lumen. METHODS: The in vivo effects of diazoxide (DZ), an agent that causes rapid hypoinsulinemia, and the in vitro effect of the lipoprotein breakdown product L-alpha-lysophosphatidylcholine (Lyso-PC) on luminal LPL were examined in Wistar rats. Manipulation of circulating TG in DZ-treated animals and their influence on LPL was also determined. RESULTS: Within 4 h following DZ a major increase in LPL activity and protein occurred at the coronary lumen. Myocyte cell surface LPL was reduced 50% subsequent to DZ. Exposure of isolated control hearts to 1 nM Lyso-PC enhanced luminal LPL to levels observed following DZ. Treatment of DZ animals with either WR 1339 (inhibits circulating TG breakdown) or N(6)-cyclopentyladenosine (inhibits adipose tissue lipolysis) decreased DZ induced augmentation of cardiac LPL. CONCLUSIONS: Using DZ, our studies for the first time demonstrate that LPL at the coronary lumen can be augmented as early as 4 h after hypoinsulinemia and that this increase likely involves posttranslational processing via TG breakdown of circulating lipoproteins and a Lyso-PC dependent mechanism.
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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) | 0.001 | 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".