Prior exercise speeds pulmonary O<sub>2</sub> uptake kinetics by increases in both local muscle O<sub>2</sub> availability and O<sub>2</sub> utilization
Bibliographic record
Abstract
The effect of prior exercise on pulmonary O(2) uptake (Vo(2)(p)), leg blood flow (LBF), and muscle deoxygenation at the onset of heavy-intensity alternate-leg knee-extension (KE) exercise was examined. Seven subjects [27 (5) yr; mean (SD)] performed step transitions (n = 3; 8 min) from passive KE following no warm-up (HVY 1) and heavy-intensity (Delta50%, 8 min; HVY 2) KE exercise. Vo(2)(p) was measured breath-by-breath; LBF was measured by Doppler ultrasound at the femoral artery; and oxy (O(2)Hb)-, deoxy (HHb)-, and total (Hb(tot)) hemoglobin/myoglobin of the vastus lateralis muscle were measured continuously by near-infrared spectroscopy (NIRS; Hamamatsu NIRO-300). Phase 2 Vo(2)(p), LBF, and HHb data were fit with a monoexponential model. The time delay (TD) from exercise onset to an increase in HHb was also determined and an HHb effective time constant (HHb - MRT = TD + tau) was calculated. Prior heavy-intensity exercise resulted in a speeding (P < 0.05) of phase 2 Vo(2)(p) kinetics [HVY 1: 42 s (6); HVY 2: 37 s (8)], with no change in the phase 2 amplitude [HVY 1: 1.43 l/min (0.21); HVY 2: 1.48 l/min (0.21)] or amplitude of the Vo(2)(p) slow component [HVY 1: 0.18 l/min (0.08); HVY 2: 0.18 l/min (0.09)]. O(2)Hb and Hb(tot) were elevated throughout the on-transient following prior heavy-intensity exercise. The tauLBF [HVY 1: 39 s (7); HVY 2: 47 s (21); P = 0.48] and HHb-MRT [HVY 1: 23 s (4); HVY 2: 21 s (7); P = 0.63] were unaffected by prior exercise. However, the increase in HHb [HVY 1: 21 microM (10); HVY 2: 25 microM (10); P < 0.001] and the HHb-to-Vo(2)(p) ratio [(HHb/Vo(2)(p)) HVY 1: 14 microM x l(-1) x min(-1) (6); HVY 2: 17 microM x l(-1) x min(-1) (5); P < 0.05] were greater following prior heavy-intensity exercise. These results suggest that the speeding of phase 2 tauVo(2)(p) was the result of both elevated local O(2) availability and greater O(2) extraction evidenced by the greater HHb amplitude and HHb/Vo(2)(p) ratio following prior heavy-intensity exercise.
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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) | 0.002 | 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".