Naked mole rats activate neuroprotective proteins during hypoxia
Bibliographic record
Abstract
Naked mole rats are a long-lived animal model that age much like humans, but that can also withstand oxidative damage, cancer, neurodegenerative diseases, and severe hypoxic conditions, which is of particular interest to this study. The conditions of their underground burrows result in competition for oxygen consumption, yet despite this oxygen deprivation they emerge unscathed. To understand the mechanisms in place to facilitate neuronal preservation during hypoxia, we investigated the protein levels of well-known cell-stress factors. We found that under hypoxic conditions, nearly half of the proteins measured increased expression in brain, while only a few decreased. Under hypoxic conditions there appeared to be a HIF1α-centered response, where HIF1α and its interactors carbonic anhydrase 9, CITED2, p21/CIP1, and NFκB1, among others, were upregulated. Concurrently, a hypoxia-induced decrease of cytochrome c was consistent with decreased mitochondrial function and protection from apoptosis. The picture that emerges is one of neuroprotection, cell-cycle arrest, and the promotion of antiapoptotic functions, all of which are consistent with conserving energy and maintaining neural integrity under low oxygen levels. These results suggest how this species may be poised to face hypoxia and contribute to its remarkable ability to deal with myriad of other damaging factors and sets the stage for future work on the neuroprotective facilitators we identified.
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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".