Pyruvate dehydrogenase phosphatase 1 (<scp>PDP1</scp>) stimulates <scp>HIF</scp> activity by supporting histone acetylation under hypoxia
Bibliographic record
Abstract
Cancer cells, when exposed to the hypoxic tumour microenvironment, respond by activating hypoxia-inducible factors (HIFs). HIF-1 mediates extensive metabolic re-programming, and expression of HIF-1α, its oxygen-regulated subunit, is associated with poor prognosis in cancer. Here we analyse the role of pyruvate dehydrogenase phosphatase 1 (PDP1) in the regulation of HIF-1 activity. PDP1 is a key hormone-regulated metabolic enzyme that dephosphorylates and activates pyruvate dehydrogenase (PDH), thereby stimulating the conversion of pyruvate into acetyl-CoA. Silencing of PDP1 down-regulated HIF transcriptional activity and the expression of HIF-dependent genes, including that of PDK1, the kinase that phosphorylates and inactivates PDH, opposing the effects of PDP1. Inversely, PDP1 stimulation enhanced HIF activity under hypoxia. Alteration of PDP1 levels or activity did not have an effect on HIF-1α protein levels, nuclear accumulation or interaction with its partners ARNT and NPM1. However, depletion of PDP-1 decreased histone H3 acetylation of HIF-1 target gene promoters and inhibited binding of HIF-1 to the respective hypoxia-response elements (HREs) under hypoxia. Furthermore, the decrease of HIF transcriptional activity upon PDP1 depletion could be reversed by treating the cells with acetate, as an exogenous source of acetyl-CoA, or the histone deacetylase (HDAC) inhibitor trichostatin A. These data suggest that the PDP1/PDH/HIF-1/PDK1 axis is part of a homeostatic loop which, under hypoxia, preserves cellular acetyl-CoA production to a level sufficient to sustain chromatin acetylation and transcription of hypoxia-inducible genes.
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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 | 0.000 |
| 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".