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Record W2034750447 · doi:10.1097/mog.0b013e3282f37b59

Recent developments in intestinal magnesium absorption

2008· article· en· W2034750447 on OpenAlexafffund
Gary A. Quamme

Bibliographic record

VenueCurrent Opinion in Gastroenterology · 2008
Typearticle
Languageen
FieldNursing
TopicMagnesium in Health and Disease
Canadian institutionsUniversity of British Columbia
FundersCanadian Institutes of Health Research
KeywordsHypomagnesemiaTRPM7Transient receptor potential channelChemistryMagnesiumIntracellularIon channelCell biologyHomeostasisBiochemistryBiologyReceptor

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: Recent identification and characterization of novel Mg transporters have clarified our understanding of intestinal magnesium absorption. The predominant Mg transporters include TRPM6 and TRPM7, members of the transient receptor potential melastatin family of cation channels. Mutations of TRPM6 result in a primary disorder termed hypomagnesemia with secondary hypocalcemia. RECENT FINDINGS: Both TRPM6 and TRPM7 channels possess an atypical alpha-kinase domain. Recent studies have shown that TRPM7 channel activity is regulated by intracellular Mg and magnesium-nucleotides and modulated via this phosphotransferase kinase. TRPM6 channel function and intestinal magnesium absorption is altered by a variety of hormones and factors. Although it is apparent that TRPM6 and TRPM7 form heteromeric ion channels, controversy surrounds the nature of this interaction. Some studies show that TRPM6 may function on its own whereas other research concludes that TRPM7 is required for effective trafficking of TRPM6 to the plasma membrane. Finally, a number of other Mg transporters have been identified in intestinal epithelial cells but the role of these proteins is unclear. SUMMARY: The recent developments in intestinal magnesium absorption and cellular magnesium homeostasis provide a basis for understanding magnesium deficiency disorders and provide a platform for future investigations.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score0.885

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 head0.070
GPT teacher head0.339
Teacher spread0.269 · 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 designObservational
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

Citations154
Published2008
Admission routes2
Has abstractyes

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