Neonatal maternal separation and enhancement of the inspiratory (phrenic) response to hypoxia in adult rats: disruption of GABAergic neurotransmission in the nucleus tractus solitarius
Bibliographic record
Abstract
Neonatal maternal separation (NMS) alters respiratory control development. Adult male rats previously subjected to NMS show a hypoxic ventilatory response 25% greater than controls. During hypoxia, gamma-aminobutyric acid (GABA) release within the nucleus tractus solitarius (NTS) modulates the magnitude of the ventilatory response. Because development of GABAergic receptors is sensitive to NMS, we tested the hypothesis that in adults, a change in responsiveness to GABA within the NTS contributes to NMS-related enhancement of the inspiratory (phrenic) response to hypoxia. Pups subjected to NMS were placed in an incubator for 3 h/day for 10 consecutive days [postnatal days 3 to 12]. Controls were undisturbed. Adult (8-10 weeks old) rats were anaesthetized (urethane; 1.6 g/kg), paralysed and artificially ventilated to record phrenic activity. Rats either received a 50-nL microinjection of GABA (5 microm) or phosphate-buffered saline (sham) within the caudal NTS, or no injection prior to being exposed to hypoxia (FiO(2) = 0.12; 5 min). NMS enhanced both the frequency and amplitude components of the phrenic response to hypoxia vs controls. GABA microinjection attenuated the phrenic responses in NMS rats only. This result is supported by ligand binding autoradiography results showing that the number of GABA(A) receptors within the NTS was 69% greater in NMS vs controls. Despite this increase, the phrenic response to hypoxia of NMS rats is larger than controls, suggesting that the higher responsiveness to GABA microinjection within the NTS is part of a mechanism that aims to compensate for: (i) a deficient GABAergic modulation; (ii) enhancement of excitatory inputs converging onto this structure; or (iii) both.
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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) | 0.000 | 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) | 0.001 | 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".