Policosanol attenuates Pi‐induced calcification via AMPK‐mediated INSIGs expression in rat VSMCs
Bibliographic record
Abstract
Policosanol is a hypocholesterolemic derived from sugar cane and corn that downregulates blood cholesterol levels. It can further lower blood pressure and reduce liver inflammation. Policosanol can also affect vascular calcification, however, its molecular mechanisms are not well understood. This study investigated the effect of policosanol on vascular calcification and its molecular mechanism. Policosanol decreased the expression of inorganic phosphate (Pi)-induced osteogenic genes such as distal-less homeobox 5 (Dlx5) and runt-related transcription factor 2 (Runx2). In addition, following policosanol treatment, adenosine monophosphate-activated protein kinase (AMPK) phosphorylation increased in a time-dependent manner. The constitutively active form of AMPK (CA-AMPK) dramatically suppressed Pi-induced Dlx5 and Runx2 protein levels. Inactivation of AMPK using compound C (Com. C; AMPK inhibitor) recovered policosanol-suppressed Alizarin Red S staining levels. Insulin-induced genes (INSIGs) were induced by CA-AMPK, their overexpression suppressed Pi-induced Dlx5 and Runx2 expression. Taken together, the results demonstrate that policosanol inhibits Pi-induced vascular calcification by regulating AMPK-induced INSIG expression in vascular smooth muscle cells.
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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 | 0.001 |
| 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".