Inhibition of Acetyl-CoA Carboxylase Isoforms by Pyridoxal Phosphate
Bibliographic record
Abstract
Mammalian isoforms of acetyl-CoA carboxylase (ACC-1 and ACC-2) play important roles in synthesis, elongation, and oxidation of long-chain fatty acids, and the possible significance of ACC in the development of obesity has led to interest in the development of inhibitors. Here, we demonstrate that pyridoxal phosphate (PLP) is a linear and reversible inhibitor of ACC-1 and ACC-2. ACC from rat liver and white adipose tissue (largely ACC-1) exhibited an IC50 of approximately 200 microm, whereas ACC-2 from heart or skeletal muscle exhibited an IC50 exceeding 500 microm. ACC from rat liver was equally sensitive to PLP following extensive purification by avidin affinity chromatography. When added before citrate, PLP inhibited ACC with a Ki of approximately 100 microm, reducing maximal activity >90% and increasing the Ka for citrate approximately 5-fold but having little effect on substrate Km values. Pre-treatment with citrate increased the apparent Ki for ACC inhibition by PLP by approximately 4-fold. Inhibition of ACC was reversed by removal of PLP, either by washing or by reaction with hydroxylamine or amino-oxyacetate. ACC was irreversibly inhibited and radiolabeled, to a stoichiometry of approximately 0.4 mol[H]/mol subunit, in the presence of PLP plus [3H]borohydride. Studies with structurally related compounds demonstrated that the reactive aldehyde and negatively charged substituents of PLP contribute importantly to ACC inhibition. The studies reported here suggest a rationale to develop ACC inhibitors that are not structurally related to the substrates or products of the reaction and an approach to probe the citrate-binding site of the enzyme.
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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) | 0.001 | 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".