Triacsin C is a time dependent inhibitor of Long Chain Fatty Acyl CoA Synthetase (Acsl) in endothelial cells
Bibliographic record
Abstract
The literature indicates that triacsin C is a competitive inhibitor of Acsl. We found that, in partially purified rat brain endothelial Acsl, maximum inhibition by triacsin C was only 82 ± 2%. Solubilized human coronary endothelial cells (HCEC) treated with triacsin C for one minute lost about 86 ± 2.6% of their activity, without further decline as triacsin C exposure time increased. HCEC were treated with 5 μM triacsin C for up to 8 hours, then washed, solubilized and assayed for Acsl activity. Activity in treated cells declined with a half‐time of 19 ± 2.9 minutes. HCEC pre‐treated with triacsin C for 2 hours were washed, re‐fed, and allowed to recover. At 24 hours post‐treatment, activity was only about 39 ± 5% of that of untreated HCEC. After 2 hours triacsin C treatment and 2 hours recovery, HCEC were exposed to [14C]‐palmitic acid for 2 hours. Radioactivity was 15 ± 5.7% of control in the fatty acyl CoA fraction, and 39 ± 2.6% of control in total extractable lipids. The weight of total extractable lipids (μg/well) was 44 ± 2.3 for control and 43 ± 4.6 for treated HCEC (not significant). These data indicate that triacsin C is likely a partial competitive inhibitor of Acsl in vitro and may be an irreversible inhibitor in situ. Supported by AHA 06552254 and NIH R21AG028901.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".