Cholesterol-Mediated Coenzyme A Depletion in Catabolic Mutants of Mycobacteria Leads to Toxicity
Bibliographic record
Abstract
Cholesterol is a critical growth substrate for Mycobacterium tuberculosis (Mtb) during infection, and the cholesterol catabolic pathway has been targeted for the development of new antimycobacterial agents. A key metabolite in cholesterol catabolism is 3aα-H-4α(3′-propanoate)-7aβ-methylhexahydro-1,5-indanedione (HIP). Many of the HIP metabolites are acyl-coenzyme A (CoA) thioesters, whose accumulation in deletion mutants can cause cholesterol-mediated toxicity. We used LC-MS/MS analysis to demonstrate that deletion of genes involved in HIP catabolism leads to acyl-CoA accumulation with concomitant depletion of free CoASH, leading to dysregulation of central metabolic pathways. CoASH and acyl-CoAs inhibited PanK, the enzyme that catalyzes the first step in the transformation of pantothenate to CoASH. Inhibition was competitive with respect to ATP with K ic values ranging from 9 μM for CoASH to 57 μM for small acyl-CoAs and 180 ± 30 μM for cholesterol-derived acyl-CoA. These findings link two critical metabolic pathways and suggest that therapeutics targeting cholesterol catabolic enzymes could both prevent the utilization of an important growth substrate and simultaneously sequester CoA from essential cellular processes, leading to bacterial toxicity.
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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 | 0.000 | 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 | 0.000 |
| 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".