245-LB: Glucagon Infusion into the Mediobasal Hypothalamus Lowers Hepatic Triglyceride Secretion
Bibliographic record
Abstract
Diabetes and obesity are associated with dysregulated liver lipid metabolism. Glucagon has an essential role in lipid metabolism, in addition to regulating glucose homeostasis. The brain is a key coordinator of whole-body metabolism. Glucagon signalling in the mediobasal hypothalamus (MBH), a forebrain region that senses hormones and nutrients to regulate metabolism, lowers hepatic glucose production and appetite. However, whether glucagon action in the MBH affects lipid homeostasis in healthy and high-fat diet (HFD)-fed animals remains unknown. We assessed glucagon signaling in the MBH in regulating hepatic TG secretion in chow-fed normolipidemic and HFD-induced hyperlipidemic rats. Stereotaxic MBH cannulation and vascular catheterizations in Sprague-Dawley rats allowed for direct MBH infusions, intravenous (IV) injections, and blood sampling. Plasma TGs were measured in 10h-fasted rats after IV poloxamer injection with concurrent MBH infusions. MBH glucagon decreased TG secretion compared to MBH vehicle control animals. This hypothalamic effect of glucagon was blocked by a simultaneous MBH co-infusion of an antagonist to the glucagon receptor (GCGR) and by protein kinase A (PKA) inhibition in the MBH in chow-fed rats. Direct MBH infusion of a PKA activator recapitulated the TG-lowering effects of MBH glucagon. Together, this suggests that MBH glucagon signals via a MBH GCGR-PKA pathway. Interestingly, both MBH glucagon and MBH PKA activation lowered TG secretion and plasma FFAs in HFD-induced hyperlipidemic animals. However, MBH glucagon did not affect hepatic TG content or liver lipogenic protein levels of MTP, FAS, or pACC:ACC of RC and HFD rats compared to their MBH vehicle controls. We demonstrate that hypothalamic glucagon modulates hepatic TG secretion via a MBH GCGR-PKA signalling pathway, and activating MBH glucagon signalling improves lipid metabolism in hyperlipidemic rats. These findings may provide therapeutic insight on lowering lipids in hyperlipidemia. Disclosure M. S. Grewal: None. B. Vasilev: None. C. M. Soltys: None. B. Lum: None. J. T. Yue: None. Funding Canadian Institutes of Health Research (PJT-378765); Canada Foundation for Innovation (37267); Canada Research Chairs Tier 2 in Brain Regulation of Metabolism
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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 | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".