An alternative route for β-hydroxybutyrate metabolism supports cytosolic acetyl-CoA synthesis in cancer cells
Bibliographic record
Abstract
Abstract Cancer cells are exposed to diverse metabolites in the tumour microenvironment that are used to support the synthesis of nucleotides, amino acids and lipids needed for rapid cell proliferation. In some tumours, ketone bodies such as β-hydroxybutyrate (β-OHB), which are elevated in circulation under fasting conditions or low glycemic diets, can serve as an alternative fuel that is metabolized in the mitochondria to provide acetyl-CoA for the tricarboxylic acid (TCA) cycle. Here we identify a non-canonical route for β-OHB metabolism that bypasses the TCA cycle to generate cytosolic acetyl-CoA. We show that in cancer cells that can metabolize ketones, β-OHB-derived acetoacetate in the mitochondria can be shunted into the cytosol, where acetoacetyl-CoA synthetase (AACS) and thiolase convert it into cytosolic acetyl-CoA. This alternative metabolic routing allows β-OHB to avoid oxidation in the mitochondria and to be used as a major source of cytosolic acetyl-CoA, even when other key cytosolic acetyl-CoA precursors such as glucose are available in excess. Finally, we demonstrate that ketone body metabolism, including this alternative AACS-dependent route, can support the growth of mouse Kras G12D ; Trp53 −/− pancreatic tumours grown orthotopically in the pancreas of male mice, as well as the growth of mouse B16 melanoma tumours in male mice fed a calorie-restricted diet. Together, these data reveal how cancer cells use β-OHB as a major source of cytosolic acetyl-CoA to support cell proliferation and tumour growth.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".