Do kappa opioid receptors regulate cardiovascular responses to severe haemorrhage in conscious newborn lambs? (859.3)
Bibliographic record
Abstract
Previously, we showed that activation of kappa opioid receptors (KORs) influences systemic haemodynamics and the baroreflex control of heart rate (HR) in conscious lambs. The endogenous ligand for KORs, Dynorphin, is increased in response to severe blood loss however, any role for KORs in the haemodynamic responses to haemorrhage in the newborn is not known. In the present study, mean, systolic and diastolic arterial pressures (MAP, SAP, DAP) as well as HR were measured for 30 min before (Control) and 60 min after 30% haemorrhage in conscious lambs (aged ~one week, N=7) after pretreatment with vehicle (experiment one) or the selective KOR antagonist, GNTI (experiment two). After vehicle, MAP fell from 75±5 (Control) to 48±9 mmHg by 10 min after haemorrhage and remained decreased. This response resulted from a decrease in both SAP and DAP and was not altered by pretreatment with GNTI. HR decreased from 189±29 (Control) to 139±30 beats/min 10 min after haemorrhage; this response was attenuated by GNTI. Therefore, KORs do not appear to influence the blood pressure response to severe blood loss early in life but do abrogate the HR response to haemorrhage. Grant Funding Source : Supported by the 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) | 0.000 | 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 | 0.001 |
| 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".