Vasopressin Mediates Hypoglycemia-Induced Inhibition of Luteinizing Hormone Secretion in the Ovariectomized Rhesus Monkey
Bibliographic record
Abstract
The objective of the present study was to examine the role of vasopressin in the regulation of LH secretion in the rhesus monkey. The effect of vasopressin administration on basal LH secretion and vasopressin antagonism on stress-induced inhibition of LH secretion were examined. Intracerebroventricular (i.c.v.) infusion of vasopressin (20 micrograms/h) to chair restrained ovariectomized rhesus monkeys (n = 5) decreased the area under the LH curve by -51.61 +/- 13.73 ng/ml/h compared to -8.35 +/- 7.11 ng/ml/h following infusion of artificial CSF (aCSF; p = 0.021). This effect was independent of any change in mean arterial pressure. Subsequently, the role of vasopressin in hypoglycemia-induced suppression of LH was examined. Administration of insulin (1 U/kg BW) to chair-restrained ovariectomized rhesus monkeys decreased the area under the LH curve by -60.88 +/- 19.77 ng/ml/h. The decrease in LH was significantly different from that observed in aCSF-infused euglycemic controls which exhibited a slight decrease in LH (-8.35 +/- 7.11 ng/ml/h; p = 0.036). In contrast, the area under the LH curve was increased slightly (1.42 +/- 11.93 ng/ml/h) when insulin administration was combined with i.c.v. infusion of the vasopressin antagonist [deaminopenicillamine1, O-methyl-tyrosine2, arginine8]-vasopressin (120 micrograms/h; p = 0.013 vs. insulin only). The demonstration that vasopressin administration inhibits LH secretion whereas vasopressin antagonism prevents hypoglycemia-induced LH suppression suggests that vasopressin is a physiological inhibitor of LH secretion in the rhesus monkey.
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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) | 0.000 | 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".