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Mathematical Modeling of Magnesium Homeostasis in Male Rats

2024· article· en· W4398166110 on OpenAlexaffabout
Pritha Dutta, Anita T. Layton

Bibliographic record

VenuePhysiology · 2024
Typearticle
Languageen
FieldNursing
TopicMagnesium in Health and Disease
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsMagnesiumHomeostasisBiologyChemistryCell biology

Abstract

fetched live from OpenAlex

Magnesium (Mg 2+ ) is an important cofactor for numerous biological processes, including protein synthesis, nucleic acid stability, and neuromuscular excitability. Extracellular magnesium is tightly regulated, with plasma [Mg 2+ ] maintained relatively constant between 1.6 and 2.3 mg/dL under normal physiological conditions. Almost all of the body’s Mg 2+ (approximately 99%) is either stored in bone or within cells (DOI: 10.1053/j.ackd.2018.01.003). A normal daily Mg 2+ intake averages around 300 mg, about half of which is absorbed by the intestine. The kidneys reabsorb 95-98% of the filtered Mg 2+ and excrete only 2-5% through urine. To understand the interplay between intestine, kidneys, and bones to maintain Mg 2+ homeostasis, we developed a computational model of Mg 2+ homeostasis for male rats and incorporated it with a male rat calcium (Ca 2+ ) homeostasis model. Our model consists of five compartments: plasma, intestine, kidneys, bones, and parathyroid gland. The model also includes parathyroid hormone and vitamin D 3 since they significantly regulate Mg 2+ and Ca 2+ homeostasis. We used this model to simulate three conditions: change in dietary Mg 2+ , change in dietary vitamin D 3 , and administration of proton-pump inhibitors. In the case of variation in dietary Mg 2+ , our model predicted that the body compensates mainly through decreasing (in case of low dietary Mg 2+ ) and increasing (in case of high dietary Mg 2+ ) urinary Mg 2+ excretion and the Mg 2+ content in the rapidly exchangeable bone pool. Change in dietary Mg 2+ does not have any significant effect on Ca 2+ homeostasis. On the other hand, change in dietary vitamin D 3 has significant effect on both Mg 2+ and Ca 2+ homeostasis, with the effect being more pronounced for Ca 2+ compared to Mg 2+ . Our model predicted significant changes in intestinal Mg 2+ and Ca 2+ absorption, PTH secretion, urinary Mg 2+ and Ca 2+ excretion, and Mg 2+ and Ca 2+ content in the rapidly exchangeable bone pool following change in dietary vitamin D 3 . Administration of proton pump inhibitors (PPIs) such as omeprazole, which are a class of medicine commonly used to reduce stomach acid production, affect Mg 2+ and Ca 2+ transport in the intestine. PPIs reduce intestinal Mg 2+ and Ca 2+ absorption by 3.5-fold and 40%, respectively. The body compensates for this huge drop in intestinal Mg 2+ absorption by tapping into the Mg 2+ stored in the rapidly exchangeable bone pool in addition to decreasing urinary Mg 2+ excretion. By contrast, the body can compensate for the drop in intestinal Ca 2+ absorption by only decreasing urinary Ca 2+ excretion. Thus, this model can be used to understand the compensatory mechanisms adopted by the body to maintain Mg 2+ and Ca 2+ homeostasis under various pathophysiological conditions and drug administrations. This work was supported by the Canada 150 Research Chair program, National Sciences and Engineering Research Council of Canada (NSERC) Discovery Grant, and Canada Institutes of Health Research (CIHR) Project Grant to Anita Layton. This is the full abstract presented at the American Physiology Summit 2024 meeting and is only available in HTML format. There are no additional versions or additional content available for this abstract. Physiology was not involved in the peer review process.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.873
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.029
GPT teacher head0.315
Teacher spread0.286 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designSimulation or modeling
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2024
Admission routes2
Has abstractyes

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