Metabolic and Cardiovascular Actions of Nesfatin-1: Implications in Health and Disease
Bibliographic record
Abstract
BACKGROUND: Metabolic homeostasis is achieved by proper functioning of a complex endocrine milieu, comprising of signals arising from the brain and peripheral tissues. Our knowledge of the factors regulating such balance is rapidly evolving, as new signaling molecules are being characterized. Of central interest is nesfatin-1, owing to its multifunctional tissue specific actions regulating food intake, body weight, blood glucose and cardiac functions. METHOD: This review discusses the tissue/system wide distribution and actions of nesfatin-1 in regulating metabolic and cardiovascular functions in healthy conditions and diseases. RESULTS: Nesfatin-1 is an 82 amino acid peptide encoded in the secreted precursor, nucleobinin-2 (NUCB2). It was first reported as a novel anorexigen and a fat reducing orphan ligand. Research to date has established nesfatin-1 in the regulation of food intake via modulation of neuropeptides in the feeding centers of brain. Nesfatin-1 expression was also reported to have a spectrum of peripheral tissue specific actions, which includes insulin secretion (pancreas), fat and glucose modulation (adipocyte), gastric motility and gastric acid secretion (stomach), hormone secretion and transit time (intestine) and mean arterial pressure and cardiac injury (heart). Abnormal levels of nesfatin-1 in circulation and/or variations in tissue specific expression have been observed in obesity, diabetes and cardiovascular diseases. CONCLUSION: The multifunctional biological actions of nesfatin-1 propelled this peptide as a therapeutic target, and as a potential biomarker of diseases. However, a better and comprehensive understanding of tissue specific effects of nesfatin-1 is critical prior to exploring its possible use in the detection and treatment of diseases.
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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) | 0.000 | 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".