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Record W2884763796 · doi:10.1111/1440-1681.13014

Evaluation of mitochondrial respiratory function in rat cardiomyocytes under different glucose conditions, using an extracellular flux analysis method

2018· letter· en· W2884763796 on OpenAlexaff
Hirokazu Tsubone, Tatsushi Mutoh

Bibliographic record

VenueClinical and Experimental Pharmacology and Physiology · 2018
Typeletter
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMitochondrial Function and Pathology
Canadian institutionsInstitute of Aging
Fundersnot available
KeywordsExtracellularAnaerobic exerciseMitochondrionRespirationRespiratory systemOxygenFlux (metallurgy)Extracellular fluidCarbohydrate metabolismATP synthaseBiochemistryCitrate synthaseChemistryCellular respirationInternal medicineBiophysicsBiologyAnatomyMedicineEnzymePhysiology

Abstract

fetched live from OpenAlex

We studied the effect of glucose supply on mitochondrial respiratory function (MRF) of neonatal rat cardiomyocytes, using a novel extracellular flux analysis. Fundamental respiratory parameters regarding oxygen consumption rate in mitochondria showed glucose concentration-dependent changes, where a significant increase or decrease in these parameters was observed to be associated with glucose concentrations ranging between 10% and 1000% of the concentration used in standard medium (3151 mg/L), respectively. By contrast, the extracellular acidification rate, a parameter of anaerobic activity, was shown to decrease under low-glucose conditions, whereas it increased after inhibiting complex V (ATP synthase) under the same glucose conditions. These findings provide a beneficial basis for various experimental studies on mitochondrial metabolism in cardiomyocytes.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.002

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 integrity0.0010.001
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 head0.087
GPT teacher head0.423
Teacher spread0.336 · 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 designObservational
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
Published2018
Admission routes1
Has abstractyes

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