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Record W2134040438 · doi:10.1074/jbc.m106132200

Use of a Biological Peptide Pump to Study Chronic Peptide Hormone Action in Transgenic Mice

2001· article· en· W2134040438 on OpenAlexaff
Jorge P. van Kats, Danielle Méthot, Pierre Paradis, David W. Silversides, Timothy L. Reudelhuber

Bibliographic record

VenueJournal of Biological Chemistry · 2001
Typearticle
Languageen
FieldMedicine
TopicHormonal Regulation and Hypertension
Canadian institutionsUniversité de MontréalMontreal Clinical Research Institute
Fundersnot available
KeywordsAngiotensin IIInternal medicineRenin–angiotensin systemPeptideIn vivoAngiotensin receptorTransgeneGenetically modified mouseEndocrinologyCardiac function curveHormoneBiologyHeart failureBlood pressureMedicineBiochemistryGene

Abstract

fetched live from OpenAlex

Angiotensin II is a peptide hormone regulator of blood pressure and fluid balance in mammals. Evidence obtained largely in vitro has also suggested that angiotensin II has growth-promoting effects and that it might thereby contribute to such pathological phenomena as cardiac hypertrophy, a major risk factor for cardiovascular mortality. It has been difficult to test for the direct growth-promoting effects of angiotensin II in vivo, however, because of the generalized effects of the peptide on hemodynamics. To overcome this limitation and to test for cardiac-specific functions of angiotensin II, we generated transgenic mice expressing an angiotensin II-producing fusion protein exclusively in cardiac myocytes. Our findings are the first to distinguish between local and systemic effects of angiotensin II on the heart and introduce a novel technique for studying tissue-specific peptide function.

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)0.002
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.002
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0030.001

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 head0.124
GPT teacher head0.328
Teacher spread0.204 · 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 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

Citations79
Published2001
Admission routes1
Has abstractyes

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