Regulation of the Na,K-Pump by Leptin in 3T3-L1 Fibroblasts
Bibliographic record
Abstract
Leptin, the product of the obesity (ob) gene, controls energy intake and expenditure primarily by actions on the central nervous system. However, recently it has become apparent that leptin also elicits a growing and diverse array of effects on peripheral tissues. The Na,K-pump is an electrogenic plasma membrane protein which actively extrudes 3Na+ ions and imports 2K+ ions per molecule of ATP hydrolysed. The pump is responsible for the maintenance of the electrochemical potential of all cells, which in turn drives all ion-coupled transport mechanisms. In this study we use 3T3-L1 fibroblasts to show that leptin inhibits Na,K-pump activity, as assessed by ouabain-sensitive 86Rb+ uptake. Inhibition of the Na,K-pump correlated with increased serine phosphorylation of the catalytic Na,K-pump alpha1 subunit. Upon investigation of leptin-stimulated signalling pathways using specific pharmacological inhibitors, only wortmannin prevented inhibition of the Na,K-pump by leptin. Moreover, leptin stimulated phosphotyrosine-associated PI 3-kinase activity in these cells. In summary, leptin was found to inhibit Na,K-pump activity, likely via PI 3-kinase. We propose that this effect may have wide ranging cardiovascular and metabolic implications and perhaps explain physiological effects of the hormone such as natriuresis.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".