Changes in HIF-1α protein, pyruvate dehydrogenase phosphorylation, and activity with exercise in acute and chronic hypoxia
Bibliographic record
Abstract
Exercise under acute hypoxia elicits a large increase in blood lactate concentration ([La](b)) compared with normoxic exercise. However, several studies in humans show that with the transition to chronic hypoxia, exercise [La](b) returns to normoxic levels. Although extensively examined over the last decades, the muscle-specific mechanisms responsible for this phenomenon remain unknown. To assess the changes in skeletal muscle associated with a transition from acute to chronic hypoxia, CD-1 mice were exposed for 24 h (24H), 1 wk (1WH), or 4 wk (4WH) to hypobaric hypoxia (equivalent to 4,300 m), exercised under 12% O(2), and compared with normoxic mice (N) at 21% O(2). Since the enzyme pyruvate dehydrogenase (PDH) plays a major role in the metabolic fate of pyruvate (oxidation vs. lactate production), we assessed the changes in its activity and regulation. Here we report that when run under hypoxia, 24H mice exhibited the highest blood and intramuscular lactate of all groups, while the 1WH group approached N group values. Concomitantly, the 24H group exhibited the lowest PDH activity, associated with a higher phosphorylation (inactive) state of the Ser(232) residue of PDH, a site specific to PDH kinase-1 (PDK1). Furthermore, protein levels of PDK1 and its regulator, the hypoxia inducible factor-1α (HIF-1α), were both elevated in the 24H group compared with N and 1WH groups. Overall, our results point to a novel mechanism in muscle where the HIF-1α pathway is desensitized in the transition from acute to chronic hypoxia, leading to a reestablishment of PDH activity and a reduction in lactate production by the exercising muscles.
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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".