Whole-Body Loss of NUCB2/Nesfatin-1 Alters Enteric Hormone Expression
Bibliographic record
Abstract
Objectives: Post-prandial insulin secretion is predominantly regulated by four intestinal hormones: glucagon-like peptide 1 (GLP-1), glucose-dependent insulinotropic polypeptide (GIP) [collectively called incretins], Cholecystokinin (CCK) and peptide YY (PYY). Nesfatin-1, an insulinotropic and anorexigenic secreted peptide encoded by nucleobindin-2 (NUCB2) was reported in the mouse hypothalamus. We have earlier reported that nesfatin-1 stimulates incretins and CCK expression and secretion while being a potent inhibitor of PYY expression, both in vitro and vivo. We further this observation in this abstract by testing the incretin, CCK, and PYY expression in a mouse model of global Nesfatin-1/NUCB2 knockout (NKO). Methods: For the current study 6-8 weeks old male NKO mice and age-matched littermate C57BL/6J mice were used as controls (n=7). Total RNA extraction followed by Real-Time quantitative PCR (RT-qPCR) of small/large intestine samples was carried out. One-way ANOVA followed by Tukey’s multiple comparison test using GraphPad Prism software was used for data analysis. p<0.01 was considered statistically significant. Results: We found that whole-body knockout of NUCB2/Nesfatin-1 downregulated large and small intestinal expression of incretins, CCK, and increased expression of PYY. Conclusion: The current data extends our earlier observation in a mouse model lacking nesfatin-1. Lack of nesfatin-1 affects the healthy expression of incretins, CCK, and PYY in the intestine. These results highlight the importance of endogenous nesfatin-1 and its role in energy balance by modulating crucial enteroendocrine hormones known for their role in energy balance. Source of Support: Dr. Unniappan's lab (University of Saskatchewan) and Canadian Institutes of Health Research (CIHR).
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".