Signalling mechanisms underlying the metabolic and other effects of adipokines on the heart
Bibliographic record
Abstract
Adipokines represent a family of proteins released by adipocytes that affect various biological processes including metabolism, satiety, inflammation, and cardiovascular function. The first adipokine to be identified is leptin, a product of the obesity gene whose primary function is to act as a satiety factor. However, it is now recognized that leptin and many of the newly discovered adipokines produce effects on numerous organ systems including the heart. Indeed, various adipokines including leptin, adiponectin, and apelin exert potent and diverse cardiovascular effects which are mediated by their specific receptors and involve complex and multifaceted cell-signalling pathways. Among these are effects on the heart as well as blood pressure where leptin has been proposed to potentially contribute to obesity-related hypertension. In this review, we focus primarily on the diverse effects of adipokines on the heart and discuss the potential cell-signalling mechanisms underlying their actions. The potential role of adipokines in the regulation of cardiac metabolism and function is discussed. Discussion is also presented on the emerging role, both deleterious and salutary, of various adipokines in heart disease with an examination of the possible underlying mechanisms which contribute to these effects.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".