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Record W4242283629 · doi:10.1139/y00-048

Effects of soybean lipoxygenase on Na<sup>+</sup>/K<sup>+</sup>-ATPase activity in vitro

2000· article· en· W4242283629 on OpenAlexfundvenueno aff
Rajkumar Kumarathasan, Frans H. H. Leenen

Bibliographic record

VenueCanadian Journal of Physiology and Pharmacology · 2000
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEicosanoids and Hypertension Pharmacology
Canadian institutionsnot available
FundersMedical Research CouncilHeart and Stroke Foundation of Canada
KeywordsLipoxygenaseChemistryOuabainATPaseBiochemistryEnzymeGlutathioneTripeptideCysteinePolyunsaturated fatty acidEnzyme inhibitorFatty acidSodiumAmino acid

Abstract

fetched live from OpenAlex

Oxidized metabolites of polyunsaturated fatty acids produced by lipoxygenase are among the endogenous regulators of Na+/K+-ATPase. The direct effect of lipoxygenase on Na+/K+-ATPase activity was assessed in vitro using soybean lipoxygenase. Treatment of 4.2 µg/mL Na+/K+-ATPase (from dog kidneys) with 4.2 µg/mL of soybean lipoxygenase caused 20 ± 2% inhibition of ATPase activity. A 10-fold increase in lipoxygenase concentration (41.6 µg/mL) led to 30 ± 0.3% inhibition. In the presence of 12 µg/mL phenidone (a lipoxygenase inhibitor) and 15.4 µg/mL glutathione (a tripeptide containing a cysteine residue) inhibition of Na+/K+-ATPase activity was blocked and an increase in ATPase activity was observed. The presence of lipoxygenase enhanced the inhibition of Na+/K+-ATPase activity caused by 20 ng/mL ouabain (31 ± 2 vs. 19 ± 2) but had little or no effect with higher concentrations of ouabain. These findings suggest that lipoxygenase may regulate Na+/K+-ATPase by acting directly on the enzyme.Key words: Na+/K+-ATPase, soybean lipoxygenase, hypertension, oxidation, inhibition.

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)0.000
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 score0.005

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.007
GPT teacher head0.246
Teacher spread0.238 · 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

Citations0
Published2000
Admission routes2
Has abstractyes

Explore more

Same venueCanadian Journal of Physiology and PharmacologySame topicEicosanoids and Hypertension PharmacologyFrench-language works237,207