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Record W2063415948 · doi:10.1159/000138602

Comparison of the Effect of Amiloride and Its Analogue Dichlorobenzamil on Cardiac Chronotropic Responses to Ouabain in Myocardial Cell Aggregates in Culture

2008· article· en· W2063415948 on OpenAlexaff
Simon W. Rabkin

Bibliographic record

VenuePharmacology · 2008
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicIon channel regulation and function
Canadian institutionsShaughnessy Hospital
Fundersnot available
KeywordsOuabainAmilorideChronotropicInternal medicineChemistryEndocrinologyMyocyteSodiumMedicineHeart rateBlood pressure

Abstract

fetched live from OpenAlex

The purpose of this study was to compare the effects of amiloride, an inhibitor of Na(+)-H+ exchange, and its analog 3',4'-dichlorobenzamil, a more specific inhibitor of Na(+)-Ca2+ exchange on the response of cardiac myocytes to ouabain. Cardiac myocyte aggregates were prepared from myocytes obtained from 7-day-old chick embryo hearts. Ouabain at 10(-6) M produced a marked and significant (p less than 0.05) reduction in contractile frequency. Amiloride, at 10(-7) to 10(-5) M produced a definite, significant (p less than 0.05) and dose-dependent reduction in this effect of ouabain. In contrast, dichlorobenzamil, 10(-7) to 10(-6) M, significantly (p less than 0.05) accentuated this effect of ouabain. Thus, amiloride and its analog dichlorobenzamil have different effects on the cardiac responses to ouabain presumably because of the differences in the specificity of their inhibition of Na+/H+ and Na+/Ca2+ exchange. Thus to the extent that the effects of amiloride and dichlorobenzamil are mediated through, respectively Na(+)-H+ and Na(+)-Ca2+ exchange, these data suggest that ouabain-induced reduction in contractile frequency is mediated through Na(+)-H+ exchange while Na(+)-Ca2+ exchange acts to minimize this action of ouabain. Amiloride may be useful to oppose the negative chronotropic effect of ouabain while dichlorobenzamil accentuates this effect of ouabain.

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 score0.043
Threshold uncertainty score0.297

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 head0.016
GPT teacher head0.307
Teacher spread0.291 · 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

Citations7
Published2008
Admission routes1
Has abstractyes

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