Proprotein Convertase Subtilisin Kexin9 (PCSK9): A Novel Target For Cholesterol Regulation
Bibliographic record
Abstract
Proprotein Convertase Subtilisin Kexin9 (PCSK9), originally called Neural Apoptosis-Regulated Convertase1 (NARC1), is the latest member of mammalian subtilase super-family. Since its discovery in 2003, it has drawn significant attention because of its function in the degradation of Low Density Lipoprotein Receptor (LDL-R). LDL-R removes circulating LDL-cholesterol (LDL-C) in the blood. Increased level of PCSK9 functional activity will lead to an accumulation of cholesterol in the blood - a high risk factor for cardiovascular disease. This is confirmed by PCSK9 knock out and transgenic animals, various biochemical and clinical studies involving “gain and loss of function” genetic mutations of PCSK9 found in various subset of populations. Owing to this finding, development of strategies for inhibition of PCSK9 function has drawn significant research interest for therapeutic intervention of hypercholesterolemia. Thus PCSK9 is a target for the development of new cholesterol lowering drugs. Keywords: Proprotein convertase subtilisin Kexin9 (PCSK9), low density lipoprotein receptor, low density lipoproteincholesterol, hypercholesterolemia, cholesterol lowering agents, PCSK9 inhibitors, Hypercholesterolemia (ADH), trans Golgi network (TGN), lysosome compartments, fluorogenic peptide
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".