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Record W2100114676 · doi:10.4172/2329-6607.1000102

A Study of the Effect of Isoproterenol on Red Blood Cell Concentrations of Adenine Nucleotides in a Freely Moving Rat Model In Vivo*

2013· article· en· W2100114676 on OpenAlexafffund
Pollen Yeung, D. Seto

Bibliographic record

VenueCardiovascular Pharmacology Open Access · 2013
Typearticle
Languageen
FieldMedicine
TopicAdipose Tissue and Metabolism
Canadian institutionsDalhousie University
FundersCanadian Institutes of Health ResearchDalhousie UniversityNova Scotia Health Research Foundation
KeywordsIn vivoNucleotideAdenine nucleotideChemistryBiochemistryBiologyGenetics

Abstract

fetched live from OpenAlex

Previous studies have shown that red blood cell (RBC) concentrations of adenine 5'-triphosphate (ATP) may be a key factor for post exercise effects responsible for cardiovascular protection.To test this concept further, we investigated the effect of isoproterenol on ATP metabolism in RBC using a freely moving rat model in vivo.Sprague Dawley rats were given either isoproterenol (30 mg/kg) or saline by subcutaneous (sc) injection.Blood samples were collected sequentially for up to 6 hours for measurement of adenine nucleotides in the RBC.Hemodynamic recordings were collected throughout the experiment.We have found isoproterenol induced 50% mortality under the experimental condition.It decreased systolic blood pressure (SBP) and diastolic blood pressure (DBP) immediately after the injection by -64 ± 22 and -64 ± 20 mmHg in less than 15 min, and increased HR steadily by +158 ± 59 bpm at the end of the experiment.Isoproterenol also increased RBC concentrations of adenine 5'-monophosphate (AMP) from 0.04 ± 0.01 to 0.28 ± 0.23 mM (+500%).The rats died had much greater breakdown of ATP to adenosine 5'-monophosphate (AMP) in the RBC than those surviving from the injury (p<0.05 for all the comparison).

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)0.001
metaresearch head score (Gemma)0.000
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 score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.034
GPT teacher head0.346
Teacher spread0.312 · 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

Citations9
Published2013
Admission routes2
Has abstractyes

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