Progesterone prevents oxidative stress and respiratory dysfunctions in female rats exposed to intermittent hypoxia.
Bibliographic record
Abstract
The occurrence of sleep apnea (SA) increases after menopause in women, which is partly related to the decreased levels of ovarian hormones. Because progesterone (Prog) is a neuroprotective hormone and a potent respiratory stimulant, we tested the hypothesis that Prog reduces the apnea frequency and the oxidative stress induced by IH. We used OVX female rats implanted with an osmotic pump delivering vehicle (OVX‐Veh) or prog (4mg/kg/day). Two weeks following the surgery, rats were exposed to room air (RA), or IH for 7 days (nadir 10% O 2 , 10 cycles/hour, 8 hours/day). We studied three groups: OVX‐Veh‐RA; OVX‐Veh‐IH; and OVX‐Prog‐IH. At the end of exposure period, we measured the mean arterial pressure (tail cuff) and assessed the frequency of apneas during sleep and the ventilatory responses to hypoxia using whole body plethysmography. The brain was quickly harvested to measure the activity of the pro‐oxidant enzyme NADPH oxidase (NOX), and the antioxidant enzymes (mitochondrial and cytosolic superoxide dismutase ‐ SOD) in the cerebral cortex and brainstem. IH exposure increased the mean arterial blood pressure, the frequency of apneas during sleep, and the hypoxic ventilatory response. Prog did not prevent the elevation of blood pressure, but effectively reduced the frequency of apneas during sleep and prevented the elevation of the hypoxic ventilatory response. In the cerebral cortex, IH increased NOX activity, and decreased the activity of the cytosolic and mitochondrial SOD, these effects were prevented by Prog. None of these enzyme activities were altered by IH or Prog supplementation in the brainstem. We conclude that Prog prevents the respiratory alterations induced by IH, and reduces oxidative stress in the brain cortex. These studies are useful to better understand the responses to IH and sleep apnea in women particularly after menopause. Support or Funding Information Supported by CIHR.
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) | 0.001 | 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 | 0.000 |
| 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".