Orchidectomy exacerbates respiratory instability induced by intermittent hypoxia in C57BL6/J mice
Bibliographic record
Abstract
Introduction Sleep apnea (SA) is characterized by obstructions of the airways or cessation of breathing during sleep leading to intermittent hypoxia (IH). In rodents, exposure to IH induces strong oxidative stress in the peripheral chemoreceptors (the main oxygen sensors inducing cardiorespiratory responses to IH), which increase their activity leading to instability of the respiratory control system, ultimately increasing the frequency of apnea during sleep. In human, patients with SA have low circulating testosterone levels and the severity of SA in overweight patients is negatively correlated with testosterone levels. However, testosterone can reduce oxidative stress in certain animal and clinical models. We therefore tested the hypothesis that testosterone modulates the respiratory instability induced by HI. Method We used intact (Sham) or orchidectomized (ORX) C57BL/6J male mice exposed for 14 days to IH (12h / day, 10 cycles / h, 6% nadir oxygen) or in normoxia (Nx). We used whole body plethysmography on freely behaving and non‐anesthetized mice to measure the frequency of apneas and sighs as well as the length of the apneas during sleep. The antioxidant activity of superoxide dismutase (SOD), catalase and glutathione peroxidase (GPx) were then measured in plasma. Results IH increases the frequency of post‐sigh apneas as well as the length of post‐sigh and spontaneous apneas in Sham and ORX mice. In ORX‐IH mice, the length of post‐sigh apneas was further increased, and there was a higher proportion of multiple apneas after a single sigh. In Nx mice, GPx activity was increased by ORX, this effect was not present in mice exposed to IH. Conclusion The lack of testosterone in ORX mice amplifies the effects of IH on respiratory stability during sleep and alters the regulation of GPx activity in plasma. Further studies are needed to better understand the underlying mechanism
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".