Regulation of parathyroid hypertensive factor secretion by vitamin D<sub>3</sub> analogs in parathyroid cells derived from spontaneously hypertensive rats
Bibliographic record
Abstract
Parathyroid hypertensive factor (PHF) is a novel substance secreted by the parathyroid gland (PTG), which is elevated in 30-40% of all hypertensive patients; specifically, the low-renin subset. However, very little is known about the regulation of PHF secretion. Since the classical parathyroid regulator, 1,25-dihydroxyvitamin D3 (1,25-(OH)2D3), may be elevated concurrent with or preceding the development of low-renin hypertension and elevated plasma PHF, we hypothesized that 1,25-(OH)2D3 would stimulate PHF release. To test this hypothesis, PTG organ and cell cultures, derived from spontaneously hypertensive rats (SHR) and the normotensive genetic control Wistar Kyoto (WKY) rats, were exposed to various vitamin D3 metabolites and PHF release measured by ELISA. 1,25-(OH)2D3 rapidly stimulated PHF release with enhanced sensitivity in SHR versus WKY cultures indicated by a leftward shift in the dose-response curve, whereas 24,25-dihydroxyvitamin D3 (24,25-(OH)2D3) had the converse effect. Vitamin D3 analog "BT," an agonist for the classical nuclear vitamin D receptor (1,25VDR(nuc)), was without effect suggesting a 1,25VDR(nuc)-independent mechanism and potential involvement of the plasma membrane-bound vitamin D receptor (1,25 D3-MARRS). Interestingly, protein expression of the 1,25 D3-MARRS was increased in SHR versus WKY parathyroid cells. In conclusion, these results support the idea that 1,25-(OH)2D3 may contribute to elevated plasma PHF in the SHR.
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 | 0.001 |
| 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".