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Record W2031987992 · doi:10.1159/000126611

Brain Atrial Natriuretic Peptide Neurons Play an Essential Role in Volume Expansion-Induced Release of Atrial Natriuretic Peptide and Natriuresis

2008· article· en· W2031987992 on OpenAlexaff
José Antunes‐Rodrigues, Domingos W.L. Picanco-Diniz, Ana L.V. Favaretto, Jolanta Gutkowska, Samuel M. McCann

Bibliographic record

VenueNeuroendocrinology · 2008
Typearticle
Languageen
FieldMedicine
TopicHeart Failure Treatment and Management
Canadian institutionsUniversité de MontréalMontreal Clinical Research Institute
FundersNational Institute of Diabetes and Digestive and Kidney Diseases
KeywordsNatriuresisInternal medicineEndocrinologyAtrial natriuretic peptideBrain natriuretic peptideHypervolemiaMedicineChemistryBlood volumeBlood pressureHeart failure

Abstract

fetched live from OpenAlex

The brain atrial natriuretic peptide (ANP) neuronal system appears to be involved in the increase in plasma ANP which follows blood volume expansion in the rat. To determine if this neuronal system is essential to the natriuresis and increase in plasma ANP which follow volume expansion, highly specific antiserum against ANP (ANP-AB) and/or normal rabbit serum as a control was microinjected into the third cerebral ventricle (3V) of conscious rats, and the effect on the natriuresis and increase in plasma ANP induced by intravenous injection of 2 ml/100 g body weight of 0.3 M NaCl was examined. Although there was no effect of ANP-AB on initial levels of plasma ANP or natriuresis 3 h after 3V injection, the natriuresis in response to blood volume expansion was significantly inhibited. The increase in plasma ANP which followed volume expansion was also significantly reduced at 5 min but recovered at 15 min. The results indicate that the brain ANP neuronal system plays an essential role in the mediation of volume expansion-induced increase in plasma ANP and natriuresis. The failure to block these responses completely may be due to the use of an inadequate dose of antiserum or other brain mechanisms may be able to mediate these responses.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.229
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.016
GPT teacher head0.265
Teacher spread0.249 · 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 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

Citations19
Published2008
Admission routes1
Has abstractyes

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