Dual Role of Insulin in Spexin Regulation: Functional Link Between Food Intake and Spexin Expression in a Fish Model
Bibliographic record
Abstract
Spexin (SPX), a neuropeptide discovered by the bioinformatics approach, has been recently identified as a satiety factor in a fish model. However, the functional link between feeding and SPX expression as well as the signal transduction for SPX regulation are totally unknown. In this study, we used goldfish as a model to examine the functional role of insulin as a postprandial signal for SPX regulation in bony fish. In goldfish, feeding could elevate plasma levels of glucose, insulin, and SPX with concurrent rises in insulin and SPX messenger RNA (mRNA) expression in the liver. Similar elevation in SPX mRNA level was also observed in the liver and brain areas involved in appetite control in goldfish after intraperitoneal injection of glucose and insulin, respectively. In parallel experiments with goldfish hepatocytes and brain cell culture, insulin signal induced by glucose was shown to exert a dual role in SPX regulation, namely (1) acting as an autocrine/paracrine signal to trigger SPX mRNA expression in the liver and (2) serving as an endocrine signal to induce SPX gene expression in the brain. Apparently, the peripheral (in the liver) and central actions of insulin (in the brain) on SPX gene expression were mediated by insulin receptor (to a lesser extent by insulin-like growth factor I receptor) coupled to mitogen-activated protein kinase kinase 3/6/p38 mitogen-activated protein kinase and phosphatidylinositol 3-kinase/Akt/mammalian target of rapamycin but not mitogen-activated protein kinase kinase 1/2/extracellular signal-regulated kinase 1/2 cascades. Our findings indicate that an insulin component inducible by glucose is present in the liver of the fish model and may serve as the postprandial signal linking food intake with SPX expression both in the central as well as at the hepatic level.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".