It's not my nerves! Augmented pressor response to stress in multiparous rats is not associated with increased sympathetic outflow.
Bibliographic record
Abstract
There is epidemiological evidence that multiparity (multiple pregnancies) increases the long‐term risk for cardiovascular disease. We have shown that multiparous rats have an augmented pressor response to stress. This is due, at least in part, to an oxidative stress induced increase in vascular reactivity. We proposed that the augmented pressor response in the multiparous rats was also the result of a greater increase in sympathetic outflow. Age‐matched multiparous and virgin rats were implanted with telemetric devices to monitor renal sympathetic nerve activity (Telemetry Research) and blood pressure (DSI). One week later, they were exposed to 10 sec air jet. The stress‐induced increase in integrated mean amplitude of nerve activity was significantly higher in the virgin animals (Virgin: 3.2±1.6 uV to 36.5±12.2 uV; Multiparous: 0.8±0.6 uV to 8.9±6.2 uV; P<0.05). There was no difference between the groups with respect to the increase in spike frequency (Virgin: 28.2±7.8 to 36.6±10.0 spikes/sec; Multiparous: 16.6±2.8 to 28.6±1.4 spikes/sec; P>0.05). We conclude that, contrary to our hypothesis, the augmented pressor response of multiparous rats is due solely to increased vascular reactivity, not to a greater increase in sympathetic outflow. (HSFC)
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) | 0.000 | 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) | 0.003 | 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".