The role of neurohypophysis in the long‐term blood pressure regulation in rats
Bibliographic record
Abstract
Evidence suggest that arginine vasopressin (AVP) may contribute to the development and/or maintenance of hypertension in humans and experimental animals. This is partially explained by the antidiuretic (increased vascular volume) and vasopressor effects (increased blood vessels resistance) of AVP. Here we propose that rats with long‐term low blood levels of AVP will cause increases in both; urine output and water intake and diminution of the mean blood pressure (MBP). Young male Wistar rats were divided in sham operated (SHAM) and neurointermediate pituitary lobectomized (NIL) (n=15 in each group). Water intake and urine output where measured once a week by placing the animals in a metabolic box. Five weeks after surgeries MBP was measured by an intra carotid catheter connected to a blood pressure transducer and a data acquisition system (BIOPAC Systems Inc.). AVP, Na+ and K+ serum levels were also measured. Results shown that as compared with SHAM group, NIL animals developed significant low AVP levels, no changes in Na+ and K+ levels and an initial increase in urine output and water intake (diabetes insipidus), to return to normality during second week. In NIL animals a significant diminution of MBP occurred: SHAM, 105±9.2 versus 65±6 mmHg of the NIL animals, p<0.001. These results suggest that neurohypophyseal AVP may be an important factor in the long‐term blood pressure regulation.
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) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| 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".