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Record W4402973081 · doi:10.1016/j.isci.2024.111077

Modeling calcium and magnesium balance: Regulation by calciotropic hormones and adaptations under varying dietary intake

2024· article· en· W4402973081 on OpenAlexafffund
Pritha Dutta, Anita T. Layton

Bibliographic record

VenueiScience · 2024
Typearticle
Languageen
FieldNursing
TopicMagnesium in Health and Disease
Canadian institutionsUniversity of Waterloo
FundersNatural Sciences and Engineering Research Council of CanadaCanadian Institutes of Health Research
KeywordsCalciumMagnesiumBalance (ability)HormoneChemistryBiochemistryBiologyNeuroscienceOrganic chemistry

Abstract

fetched live from OpenAlex

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.

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 categoriesnone
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 score0.925
Threshold uncertainty score0.422

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)0.0000.000

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 head0.040
GPT teacher head0.310
Teacher spread0.270 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations10
Published2024
Admission routes2
Has abstractyes

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