Ventilatory responses to hypoxic and hypercapnic environments in naked mole‐rats
Bibliographic record
Abstract
Extreme environments are powerful drivers of physiological adaptation. Naked mole-rats offer an informative example of this relationship as they putatively encounter intermittent hypoxia and hypercapnia in their subterranean habitat. This has presumably driven the evolution of a suite of cellular and physiological adaptations that enable life in these conditions. Recently, my laboratory and others have begun to examine physiological responses to environmental hypoxia and hypercapnia in naked mole-rats, and the underlying cellular and molecular mechanisms that differentiate the responses of this species from those of other small mammals. Prominent among these adaptations are a robust hypoxic metabolic response and blunted ventilatory responses to hypoxia and hypercapnia. These responses are mediated in part by modifications to the central nervous system signaling pathways that sense and communicate changes in environmental gas levels and initiate and maintain downstream physiological responses. For example, naked mole-rats retain the signaling architecture necessary for "normal" ventilatory responses to hypoxia and hypercapnia; however, the underlying signaling pathways are muted, resulting in reduced, or even the absence of, sensitivity to otherwise powerful environmental stimuli. Herein, I discuss what we have learned about the manifestation and control of ventilatory and metabolic responses to hypoxia and hypercapnia in naked mole-rats. I also highlight areas where additional work is warranted and consider the implications of what we have learned for the ecophysiology of a species that thrives in conditions that are deleterious or lethal to most adult mammals.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".