Modeling calcium and magnesium balance: Regulation by calciotropic hormones and adaptations under varying dietary intake
Bibliographic record
Abstract
Magnesium (Mg 2+ ) is crucial for several cellular and physiological processes and is tightly regulated due to health risks associated with imbalances. Mg 2+ , calcium (Ca 2+ ), parathyroid hormone, and vitamin D 3 are tightly coupled, ensuring proper bone metabolism and intestinal and renal absorption of Mg 2+ and Ca 2+ . While several Ca 2+ homeostasis models exist, no computational model has been developed to study Mg 2+ homeostasis. We developed a computational model of Mg 2+ homeostasis in male rats, integrating it with an existing Ca 2+ homeostasis model, to understand the interconnected physiological processes regulating their homeostasis. We then analyzed adaptations in these interconnected processes under (1) dietary Mg 2+ deficiency, (2) low/high dietary Ca 2+ with Mg 2+ deficiency, and (3) vitamin D 3 deficiency. Model simulations predicted severe hypomagnesemia and mild hypocalcemia with significant dietary Mg 2+ deficiency. Low dietary Ca 2+ improved, while high dietary Ca 2+ worsened Mg 2+ deficiency. Finally, vitamin D 3 deficiency caused severe hypocalcemia, with minimal impact on Mg 2+ homeostasis.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 teacher head, 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".