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Maternal expression of atrial natriuretic peptide and the fetal programming of cardiac hypertrophy

2010· article· en· W2295608965 on OpenAlexaffabout
D. Armstrong, M. Yat Tse, Philip G. Wong, Stephen C. Pang

Bibliographic record

VenueThe FASEB Journal · 2010
Typearticle
Languageen
FieldMedicine
TopicGDF15 and Related Biomarkers
Canadian institutionsQueen's University
Fundersnot available
KeywordsAtrial natriuretic peptideInternal medicineOffspringEndocrinologyMedicineMuscle hypertrophyHomeostasisBiologyPregnancy

Abstract

fetched live from OpenAlex

Introduction The natriuretic peptide system (NPS) is a key regulator of cardiovascular homeostasis. Mice lacking atrial natriuretic peptide (ANP) display chronic hypertension with salt‐sensitivity and cardiac hypertrophy (CH). The effect of maternal ANP expression on the development of CH in offspring is unknown. Objective To determine the effect of maternal ANP genotype on the development of CH in ANP heterozygous (ANP +/− ) offspring born to either ANP wild‐type (+/+) mothers (ANP +/−WT offspring) or ANP knockout (−/−) mothers (ANP +/−KO offspring). Methods 9‐week old male ANP +/−WT and ANP +/−KO mice were treated with normal salt (NS; 0.8% NaCl) or high salt (HS; 8.0% NaCl) diet for 5 weeks. Mice were euthanized, organs were weighed, and left ventricular (LV) gene expression was measured using real‐time qPCR. Results LV‐to‐body weight (LV/BW) ratio did not differ between ANP +/−WT and ANP +/−KO fed NS. HS increased LV/BW ratio in ANP +/−WT but not in ANP +/−KO . Gene expression of corin, iNOS, ACE, AT 1a , sGC‐α1 and ‐β1 were increased, and NPR‐C was decreased in ANP +/−WT , and unaltered in ANP +/−KO . Conclusions Maternal ANP ablation appears to protect against the development of CH in the ANP +/− mouse. Compensatory changes in the ANP −/− mother during development may confer salt‐resistance in the ANP +/− mouse later in life, the mechanism of which remains to be elucidated. (Support: Heart & Stroke Foundation of Ontario) Grant Funding Source : Heart and Stroke Foundation of Ontario

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)0.001
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 score0.050
Threshold uncertainty score0.261

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.006
GPT teacher head0.225
Teacher spread0.219 · 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

Citations0
Published2010
Admission routes2
Has abstractyes

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