Changes of Atrial Natriuretic Peptide in Rat Supraoptic Neurones During Pregnancy
Bibliographic record
Abstract
To better understand the role of atrial natriuretic peptide (ANP) in the central regulation of hydro-mineral homeostasis, we analysed its expression in rat hypothalamic neurones during gestation and postpartum. These physiological events are characterized by opposing body fluid regulations. Quantitative in situ hybridization analysis showed that starting from mid-pregnancy, ANP mRNA declined in neurones of the preoptic area, periventricular area, lateral hypothalamus and endorhinal nucleus, and remained low at postpartum. By contrast, magnocellular cells in the supraoptic nucleus (SON) showed four- and 10-fold more ANP mRNA in sections from preterm and postpartum rats, respectively, compared to nonpregnant controls (P < 0.001). Oxytocin mRNA paralleled ANP mRNA expression in the SON, whereas vasopressin mRNA rose in early pregnancy and declined thereafter. High hypothalamic ANP concentration at day 21 of gestation versus nonpregnant rats (3.1 +/- 0.5 versus 1.8 +/- 0.4 ng/mg protein, P < 0.05) suggested that ANP transcript accumulation in the SON is associated with increased utilization of the peptide. The elevation of hypothalamic ANP (two-fold) and ANP receptors by treatment of ovariectomized rats with 17beta-oestradiol (25 micro g/rat, 10 days) was abolished by coadministration of progesterone. Thus, we concluded that elevated oestradiol at term stimulates ANP synthesis and paracrine ANP activation in the hypothalamus. Overall, we provide experimental, anatomical and molecular evidence for ANP regulation in hypothalamic neurones at preterm and after 17beta-oestradiol stimulation. Our study supports the concept that ANP expressed in the SON acts as a peptidergic neurotransmitter involved in water and salt regulation during pregnancy and postpartum.
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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 | 0.000 |
| 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".