Physiology of the Calcium-Parathyroid Hormone-Vitamin D Axis
Bibliographic record
Abstract
Classic endocrine feedback loops ensure the regulation of blood calcium. Calcium in the extracellular fluid (ECF) binds and activates the calcium sensing receptor (CaSR) on the parathyroid cells, leading to an increase in intracellular calcium. This in turn leads to a reduced parathyroid hormone (PTH) release. Hypocalcemia leads to the opposite sequence of events, namely, lowered intracellular calcium and increased PTH production and secretion. PTH rapidly increases renal calcium reabsorption and, over hours to days, enhances osteoclastic bone resorption and liberates both calcium and phosphate from the skeleton. PTH also increases fibroblast growth factor 23 (FGF23) release from mature osteoblasts and osteocytes. PTH stimulates the renal conversion of 25-hydroxyvitamin D (25[OH]D) to 1,25(OH)2D, likely over several hours, which in turn will augment intestinal calcium absorption. Prolonged hypocalcemia and exposure to elevated PTH may also result in 1,25(OH)2D-mediated calcium and phosphorus release from bone. These effects restore the ECF calcium to normal and inhibit further production of PTH and 1,25(OH)2D. Additionally, FGF23 can be released from bone by 1,25(OH)2D and can in turn reduce 1,25(OH)2D concentrations. FGF23 has also been reported to decrease PTH production. When ECF calcium is in the hypercalcemic range, PTH secretion is reduced and renal 1,25(OH)2D production is decreased. In addition, the elevated calcium per se stimulates the renal CaSR, thus inducing calciuria. Therefore, suppression of PTH release and 1,25(OH)2D synthesis and stimulation of the renal CaSR lead to reduced renal calcium reabsorption, decreased skeletal calcium release, and decreased intestinal calcium absorption, resulting in the normalization of the elevated ECF calcium.
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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 | 0.001 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".