Profound metabolic depression in the hypoxia‐tolerant naked mole rat (879.2)
Bibliographic record
Abstract
Naked mole rats (NMRs) are among the most hypoxia‐tolerant mammals identified. Metabolic depression is a common response to hypoxia and is associated with lowered body temperature and a reduced state of activity (e.g. torpor). Contrary to this, NMRs maintain body temperature and remain active during prolonged exposure to 3% O 2 . The physiological adaptations that enable NMRs to remain active and thrive in hypoxia are poorly understood and we asked whether hypoxia‐induced changes to metabolic, ventilatory, or cardiac homeostasis contribute to this tolerance. To examine this question we exposed NMRs to progressive hypoxic epochs of 21, 9, 7, 5, and 3% O 2 and measured metabolic rate, physical activity, ventilation, cardiac work, and body temperature. We found that NMRs exhibited profound metabolic depression (> 85%) at hypoxic levels < 7% O 2 , while maintaining body temperature and physical activity. Ventilation and heart rate increased with hypoxia but at a lower O 2 levels than in hypoxia‐intolerant animals. Metabolic depression was reversed by systemic injection of the adenosine receptor antagonist aminotheophylline. Following injection, exposure to 7% O 2 became lethal to animals that previously tolerated 3% O 2 without detriment. We conclude that the hypoxia‐tolerance of NMRs is dependent upon robust metabolic depression, which is mediated by a mechanism involving adenosine receptor activation. Grant Funding Source : NSERC
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".