Human genetics of HDL: Insight into particle metabolism and function
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
Levels of high-density lipoprotein cholesterol (HDL-C) are inversely related to cardiovascular disease risk and HDL particles possess a variety of anti-atherosclerotic properties. However, several recent clinical trials aimed at raising HDL-C levels have failed to yield the expected improvement in clinical outcomes, highlighting the need for a better understanding of HDL particle function and metabolism. Human genetic studies have proven to be an outstanding source of insight regarding the biology of this complex lipoprotein class. In particular, the study of rare genetic disorders of HDL has identified a number of key players in HDL metabolism, some of which represent current or future therapeutic targets. More recently, genetic association studies have identified a large number of additional genes and proteins involved in HDL metabolism. The purpose of this review is to summarize progress in the study of HDL genetics and how these insights have contributed to our understanding of the metabolic pathways and function of HDL leading to opportunities for the long-elusive HDL-based therapies.
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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