Effect of neonatal maternal separation on inspiratory response to hypercapnia in male rats: implication of central and peripheral chemodetections
Bibliographic record
Abstract
Neonatal maternal separation (NMS) is a clinically relevant stress model which disrupts respiratory control development. NMS reduces the ventilatory response to CO2 in rats but the underlying mechanisms are unknown. The present study aimed to determine whether attenuation of this hypercapnic response occurs at the central or peripheral level. Pups subjected to NMS were separated from their mother 3h/day from post natal days 3 to 12. Fictive ventilation was measured during normocapnia and hypercapnia (PaCO2: 10Torr above baseline) using 2 approaches on anaesthetized (urethane 1g/kg + isoflurane 0.5%) adult male rats. First, to test the central chemosensibility, we recorded phrenic nerve activity in vagotomized, paralyzed and ventilated (FiO2: 0.5) rats. No differences were observed between groups. We then tested the implication of peripheral chemodetection in non‐vagotomized and spontaneously breathing rats using bilateral chemodenervation. Recording of diaphragmatic EMG showed a decreased of baseline breathing frequency by 35% in control rats only. During hypercapnia, breathing frequency decreased by 31% in controls but increased by 15% in NMS. This opposite response eliminates the difference between groups in minute activity responses. These results show that disruption of carotid body function (and/or central integration) contributes to the phenotype observed in NMS rats. Supported by CIHR.
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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 | 0.000 |
| 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".