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Record W2320788821 · doi:10.1093/cvr/cvu098.114

P690Role of sodium-hydrogen exchange in vascular failure in hereditary cardiomyopathy.

2014· article· en· W2320788821 on OpenAlexaff
Danielle Jacques, Ghassan Bkaily

Bibliographic record

VenueCardiovascular Research · 2014
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMitochondrial Function and Pathology
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsCardiomyopathyHeart failureCardiologyMedicineInternal medicine

Abstract

fetched live from OpenAlex

Cardiomyopathy in general is defined as a disease of the heart muscle. The purpose of this study is to test the hypothesis that sodium-hydrogen exchanger (NHE1) abnormality is a common cause of cardiac and vascular failures in hereditary cardiomyopathy of the hamster. We verified whether heart failure is accompanied by vascular abnormalities in NHE1. In order to conduct this study we used complementary techniques such as measurement of mean arterial pressure, cardiac and vascular cells intracellular Ca2+, Na+ and NHE1 levels as well as real 3D confocal microscopy and Western blot. Our results show an increase in intracellular Ca2+ and Na+ that is associated with an increase in NHE1 levels and activities in both cardiac and vascular myocytes. In addition, these abnormalities were accompanied by necrosis and hypertrophy of cardiomyocytes but not of vascular myocytes. Furthermore, in addition to these cardiac and vascular defects, a decrease in mean arterial pressure was observed during the development of hereditary cardiomyopathy of the hamster. No changes in aortic thickness and the density of elastin were observed. In conclusion, our results suggest that hereditary cardiomyopathy is not only a cardiac disease but is also a vascular disease where NHE1 could be a common cause and that treatment with a NHE1 blocker would prevent not only the development of cardiac failure but also vascular failure.

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)0.005
metaresearch head score (Gemma)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.837
Threshold uncertainty score0.755

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
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 head0.026
GPT teacher head0.280
Teacher spread0.255 · 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
Published2014
Admission routes1
Has abstractyes

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