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Record W2083231282 · doi:10.3109/15376516.2010.497979

Effect of methamphetamine on potassium and L-type calcium currents in rat ventricular myocytes

2010· article· en· W2083231282 on OpenAlexaff
Ruobing Liang, Yanming Zhou, Feng Wu, Chen Zhou, Xiuli Zhao, Minghui Zhang, Xiaojun Tian, Bo Zhu

Bibliographic record

VenueToxicology Mechanisms and Methods · 2010
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicIon channel regulation and function
Canadian institutionsMcGill University
Fundersnot available
KeywordsMyocytePatch clampElectrophysiologyPotassiumCardiac transient outward potassium currentCalciumChemistryBiophysicsInternal medicinePotassium channelSteady state (chemistry)EndocrinologyBiologyMedicine

Abstract

fetched live from OpenAlex

The mechanisms of cardiac toxicity caused by methamphetamine (MA) are poorly understood at present. This study was designed to investigate the effects of MA on ionic currents in myocardial cells. The effects of MA on transient outward potassium current (I(to)), inward rectifying potassium current (I(K1)), and L-type calcium current (I(Ca-L)) in isolated rat ventricular myocytes were studied using the whole-cell patch clamp technique. It was demonstrated that MA inhibited the I(to), I(K1), and I(Ca-L) in the rat ventricular myocytes concentration-dependently. MA shifted left the I(to) steady-state inactivation curve and shifted down the recovery curve, but had no influence on the steady-state activation curve. MA did not affect the I(Ca-L) steady-state activation curve or steady-state inactivation curve, but shifted down the recovery curve. We concluded that MA had inhibitory effects on the I(to), I(K1), and I(Ca-L) in ventricular myocytes, which might be one of the possible electrophysiological mechanisms of cardiac damage caused by MA.

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 score0.037
Threshold uncertainty score0.435

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 studies0.0000.000
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 head0.014
GPT teacher head0.343
Teacher spread0.329 · 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

Citations21
Published2010
Admission routes1
Has abstractyes

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