Oxytocin Increases Glucose Uptake in Neonatal Rat Cardiomyocytes
Bibliographic record
Abstract
We have recently shown that an entire oxytocin (OT) system, a peptide and its cognate receptors, is synthesized in the heart. In fetal and newborn hearts, OT exists in its extended three-amino acid form, OT-Gly-Lys-Arg (OT-GKR). OT translocates glucose transporter type 4 to the plasma membrane in human endothelial cells. Therefore, we hypothesized that the cardiac OT/OT-GKR system may be involved in the regulation of myocardial glucose uptake in physiological conditions and during metabolic stress such as hypoxia. Primary cultures of neonatal rat cardiomyocytes (CM) and cardiac progenitor cells expressing ATP-binding cassette efflux transporter G2 transporter (stem cell marker) were studied. OT (10 nm) increased basal glucose uptake in CM to 4.0 +/- 0.2 fmol/mg protein, with OT-GKR (10 nm) elevating it to 5.3 +/- 0.4 fmol/mg protein (P < 0.001) in comparison with 2.2 fmol/mg in control cells. OT had a moderate synergistic effect with 0.1 mm 2,4-dinitrophenol, augmenting basal glucose uptake to 5.5 +/- 0.5 fmol/mg. OT-GKR (10 nm) was even more potent in combination with 2,4-dinitrophenol, increasing glucose uptake to 9.0 +/- 1.0 fmol/mg. Wortmannin (0.1 microm), an inhibitor of phosphatidylinositol-3-kinase, significantly suppressed the effect of OT and insulin (10 nm) (P < 0.001), indicating common pathways. Our data suggest that OT and OT-GKR influence glucose uptake in neonatal rat CM and may thus play a role in the maintenance of cardiac function and cell survival during metabolic stress.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".