Muscle sympathetic nerve activity in altitude acclimatized lowlanders during leg cycling exercise
Bibliographic record
Abstract
Acute normobaric hypoxia augments muscle sympathetic nerve activity (MSNA) during dynamic cycling exercise; however, the effects of chronic hypobaric hypoxia exposure on this response remain unknown. The purpose of the present study was to determine MSNA reactivity to moderate intensity cycling exercise in lowlanders at sea‐level (344m; Kelowna, BC, Canada) and after 14–21 days of high‐altitude acclimatization (~4300m; Cerro de Pasco, Peru). MSNA (radial microneurography), mean arterial pressure (brachial artery catheter), and heart rate (electrocardiogram) were measured at rest and during cycling exercise (60% of peak workload) in six healthy male participants. Chronic exposure to hypobaric hypoxia increased resting MSNA burst frequency from 14.0 ± 3.2 burst/min at sea‐level, to 38.2 ± 4.5 burst/min (P<0.001). The increase in MSNA during semi recumbent cycling exercise during chronic hypobaric hypoxia exposure was significantly lower compared to sea‐level (Δ MSNA: sea‐level: 106 ± 46% vs. high‐altitude: 43 ± 15% vs; P<0.001). To our knowledge, this is the first investigation to compare MSNA between normobaric normoxia and chronic hypobaric hypoxia during leg cycling exercise. These data indicate that chronic hypobaric hypoxic exposure blunts the relative increase in MSNA during moderate‐intensity dynamic cycling exercise, potentially due to a sympathetic “ceiling” being reached. Support or Funding Information Wilderness Medical Society research in‐training grant (GM)
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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".