The Effect of 7‐Day Cold Water Acclimation on Autophagic and Apoptotic Responses in Young Males
Bibliographic record
Abstract
While cold acclimation can enhance thermoregulation in humans, the potential to improve cellular cold tolerance remains unknown. Thus, this work aims to evaluate the effect of a 7-day cold-water acclimation on the cytoprotective mechanism of autophagy in young males. Further, this work assesses changes in cellular cold tolerance by employing hypothermic ex vivo (whole blood) cooling prior to and following acclimation. Peripheral blood mononuclear cells are isolated before and after cold exposures on days 1, 4, and 7 of acclimation and following ex vivo cooling. Proteins associated with autophagy, apoptosis, the heat shock response, and inflammation are analyzed via Western blotting. Indicators of autophagic dysfunction paired with increased apoptotic signaling are prevalent at the beginning of acclimation. At the end of acclimation, autophagic activity increased while apoptotic and inflammatory signaling decreased. Although an elevated heat shock response is observed following cold exposure, this does not change throughout the acclimation. Further, improvements of autophagic activity are observed during ex vivo cooling along with a reduction of apoptotic signaling, albeit still elevated compared to basal levels. This work shows that 7-day cold acclimation elicits improvements in cellular cold tolerance in young males through enhanced autophagic responses concomitant with reductions in apoptotic signaling.
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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) | 0.003 | 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".