Genetics and Prevention: A New Look at High-Density Lipoprotein Cholesterol
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Plasma level of high-density lipoprotein cholesterol is inversely correlated with coronary artery disease. High-density lipoprotein particles are thought to mediate the uptake of peripheral cholesterol and, through exchange of core lipids with other lipoproteins or selective uptake by specific receptors, return this cholesterol to the liver for bile acid secretion. During the past decade, high-density lipoprotein particles have been found to modulate thrombosis, cell adhesion molecule expression, vasomotor function, platelet function, and endothelial cell apoptosis and proliferation. Many of these effects involve the signal transduction pathway and gene transcription. Genetic disorders of high-density lipoproteins have been characterized at the molecular level. Mutations within the genes involved in the structure and metabolism of high-density lipoproteins can cause high-density lipoprotein deficiency or elevations in high-density lipoprotein cholesterol levels. Some mutations causing high-density lipoprotein deficiency are associated with premature coronary artery disease, whereas others, paradoxically, may be associated with longevity. Modulation of high-density lipoprotein metabolism for therapeutic purposes must take into account not only the cholesterol content of the particle but also its lipid (including phospholipid) composition, apolipoprotein content, size, and charge.
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.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.002 |
| 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 | 0.001 | 0.001 |
| 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 it