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Stanniocalcin 1 as a pleiotropic factor in mammals

2004· review· en· W2013140134 on OpenAlexaff
Yuji Yoshiko, Jane E. Aubin

Bibliographic record

VenuePeptides · 2004
Typereview
Languageen
FieldEnvironmental Science
TopicPhysiological and biochemical adaptations
Canadian institutionsUniversity of TorontoUniversity of New BrunswickCanada Research Chairs
Fundersnot available
KeywordsParacrine signallingAutocrine signallingBiologyInternal medicineEndocrinologyCell biologyReceptorSignal transductionGeneticsMedicine

Abstract

fetched live from OpenAlex

Stanniocalcin (STC)1 is the mammalian homologue of STC which was originally identified as a calcium/phosphate-regulating hormone in bony fishes. STC1 is a homodimeric phosphoglycoprotein with few if any identified unique motifs in its structure with the exception of CAG repeats in the 5'-untranslated region. In contrast to fish STC which is expressed mainly in the corpuscles of Stannius, STC1 is expressed in a wide variety of tissues, but unexpectedly is not detected in the circulation under normal circumstances. Thus, STC1 may play an autocrine/paracrine rather than a classic endocrine role in mammals. Consistent with this, pleiotropic effects of STC1 have been postulated in physiological and measured in pathological situations. There is much current interest in identifying a specific STC1 receptor and putative signaling pathways to which it may be coupled. In this regard, STC1 may regulate intracellular calcium and/or phosphate (Pi) levels. In the skeletal system, for example, Pi uptake in bone-forming osteoblasts via a direct effect of STC1 on expression of the NaPi transporter Pit1 may contribute to bone formation. Here we review current understanding of the role of STC1 and its possible molecular mechanisms in the skeleton and elsewhere.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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.

Opus teacher head0.054
GPT teacher head0.318
Teacher spread0.264 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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

Citations84
Published2004
Admission routes1
Has abstractyes

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