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Record W2000526777 · doi:10.1210/en.2004-0698

Participation of G Proteins in Natriuretic Peptide Hormone Secretion from Heart Atria

2004· article· en· W2000526777 on OpenAlexafffund
Michaël Bensimon, Astra I. Chang, Mercedes L. Kuroski de Bold, Amalia Ponce, Daniel Carreras

Bibliographic record

VenueEndocrinology · 2004
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicIon channel regulation and function
Canadian institutionsUniversity of Ottawa
FundersUniversity of Ottawa
KeywordsInternal medicineEndocrinologySecretionPertussis toxinBiologyAtrial natriuretic peptideG proteinReceptorChemistryMedicine

Abstract

fetched live from OpenAlex

The involvement of G proteins in the mechanism underlying the increased atrial natriuretic factor (ANF) secretion observed after atrial muscle stretch (stretch-secretion coupling) was assessed using a combined pharmacological, immunocytochemical, and tissue fractionation approach. It was found that G(i/o) inhibition by pertussis toxin (PTX) abolished stretch-secretion coupling without affecting baseline secretion through a mechanism that is independent of G(q) signaling agonists. Mastoparan-7, a G(i/o) agonist, significantly increased ANF secretion even in the absence of muscle stretch through a PTX-sensitive mechanism. By confocal and electron immunocytochemistry, ANF and G(o) partially colocalized, whereas ultracentrifugation analysis suggested the presence of two populations of granules, one of which was partially associated with G(o), as demonstrated by Western blotting. PTX did not affect basal or endothelin-1-stimulated ANF secretion, in line with the view that endothelin-1 signals mainly through G(q). It is concluded there are at least two types of regulated secretory processes in atrial cardiocytes: one is acutely responsive to muscle stretch and is PTX sensitive, and the other is G(q)mediated and PTX insensitive and may be responsible for changes in secretion after chronic changes in the neuroendocrine environment.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.221
Threshold uncertainty score0.350

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 head0.014
GPT teacher head0.261
Teacher spread0.246 · 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 designBench or experimental
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

Citations43
Published2004
Admission routes2
Has abstractyes

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