Influence of hemoglobin-O<sub>2</sub> affnity on aerobic capacity in deer mice
Bibliographic record
Abstract
High-altitude hypoxia can constrain tissue O2 supply, and several high-altitude populations and species have evolved adaptations to overcome this challenge. Evolved increases in hemoglobin-O2 (Hb-O2) affnity are pervasive across high-altitude taxa, but the influence of such increases on aerobic capacity (maximal O2 consumption) in hypoxia remains contentious. The influence of Hb-O2 affnity on aerobic capacity in hypoxia could vary depending on other traits in the O2 transport pathway, but this possibility is poorly understood. We examined this issue in deer mice ( Peromyscus maniculatus), which is found from sea level to >4300m altitude in the Rocky Mountains. Mice from populations native to high altitude and low altitude were born and raised to adulthood in captivity. Low-altitude mice (n=14) were acclimated to warm (25°C) normoxia, and high-altitude mice (n=14) were acclimated to cold (5°C) hypoxia (~12 kPa O2) for 6 weeks, creating two groups with very different capacities for O2 transport in hypoxia. Aerobic capacity for thermogenesis (VO2max) was then measured in hypoxia after each of three pharmacological treatments to manipulate Hb-O2 affnity: saline (control); efaproxiral, a negative allosteric regulator that decreases Hb-O2 affnity; and sodium cyanate, which covalently modifies Hb and increases Hb-O2 affnity. In control conditions, high-altitude mice had higher VO2max and arterial O2 saturation (SaO2) in hypoxia and higher Hb-O2 affnity (lower P50) than low-altitude mice. Efaproxiral reduced SaO2 and led to similar decreases in VO2max in both populations. Sodium cyanate increased SaO2 in hypoxia in both populations. However, this was only associated with an increase in VO2max in 7 of 14 high-altitude mice and 4 of 14 low-altitude mice. Our results suggest that Hb-O2 affnity may be optimal for aerobic capacity in hypoxia in high-altitude mice, and that reductions in Hb-O2 affnity reduce performance. Supported by NSERC of Canada. This is the full abstract presented at the American Physiology Summit 2024 meeting and is only available in HTML format. There are no additional versions or additional content available for this abstract. Physiology was not involved in the peer review process.
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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 | 0.001 |
| 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".