Bibliographic record
Abstract
PURPOSE OF REVIEW: Several in-vitro and in-vivo animal studies indicate that endothelial lipase plays a key role in the intravascular remodeling of lipoproteins, particularly HDL. This review integrates this body of knowledge with more recent data in humans linking endothelial lipase to HDL metabolism and other features of the metabolic syndrome. RECENT FINDINGS: Human studies generally support the involvement of endothelial lipase in modulating plasma HDL. The association between endothelial lipase and metabolism of apolipoprotein B-containing lipoproteins in humans, however, has not been entirely consistent with previous findings in vitro and in animals. Finally, elevated plasma endothelial lipase has been associated with abdominal obesity and hypertension, and there is now compelling evidence that inflammation and in-vivo regulation of endothelial lipase may be intrinsically related. SUMMARY: Accumulating evidence indicates that endothelial lipase plays a role in the etiology of the atherogenic plasma lipoprotein profile characteristic of the metabolic syndrome. Increased endothelial lipase activity is linked to the underlying proinflammatory state in this condition. Further studies are required, however, to define the extent to which endothelial lipase contributes to the dyslipidemia of the metabolic syndrome relative to other important regulating factors, such as lipoprotein lipase, hepatic lipase, and cholesterol ester transfer protein.
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 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.003 |
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".