Regulation of V<scp>o</scp><sub>2</sub> kinetics by O<sub>2</sub> delivery: insights from acute hypoxia and heavy-intensity priming exercise in young men
Bibliographic record
Abstract
This study examined the separate and combined effects of acute hypoxia (Hypo) and heavy-intensity "priming" exercise (Hvy) on pulmonary O(2) uptake (Vo(2p)) kinetics during moderate-intensity exercise (Mod). Breath-by-breath Vo(2p) and near-infrared spectroscopy-derived muscle deoxygenation {deoxyhemoglobin concentration [HHb]} were monitored continuously in 10 men (23 ± 4 yr) during repetitions of a Mod 1-Hvy-Mod 2 protocol, where each of the 6-min (Mod or Hvy) leg-cycling bouts was separated by 6 min at 20 W. Subjects were exposed to Hypo [fraction of inspired O(2) (Fi(O(2))) = 15%, Mod 2 + Hypo] or "sham" (Fi(O(2)) = 20.9%, Mod 2-N) 2 min following Hvy in half of these repetitions; Mod was also performed in Hypo without Hvy (Mod 1 + Hypo). On-transient Vo(2p) and [HHb] responses were modeled as a monoexponential. Data were scaled to a relative percentage of the response (0-100%), the signals were time-aligned, and the individual [HHb]-to-Vo(2) ratio was calculated. Compared with control (Mod 1), τVo(2p) and the O(2) deficit (26 ± 7 s and 638 ± 144 ml, respectively) were reduced (P < 0.05) in Mod 2-N (20 ± 5 s and 529 ± 196 ml) and increased (P < 0.05) in Mod 1 + Hypo (34 ± 14 s and 783 ± 184 ml); in Mod 2 + Hypo, τVo(2p) was increased (30 ± 8 s, P < 0.05), yet O(2) deficit was unaffected (643 ± 193 ml, P > 0.05). The modest "overshoot" in the [HHb]-to-Vo(2) ratio (reflecting an O(2) delivery-to-utilization mismatch) in Mod 1 (1.06 ± 0.04) was abolished in Mod 2-N (1.00 ± 0.05), persisted in Mod 2 + Hypo (1.09 ± 0.07), and tended to increase in Mod 1 + Hypo (1.10 ± 0.09, P = 0.13). The present data do not support an "O(2) delivery-independent" speeding of τVo(2p) following Hvy (or Hvy + Hypo); rather, this study suggests that local muscle O(2) delivery likely governs the rate of adjustment of Vo(2) at τVo(2p) greater than ∼20 s.
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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".