131-OR: GLP-1R in the Nodose Ganglion Modulate Intestinal Lipoprotein Production via a Neuroendocrine Mechanism
Bibliographic record
Abstract
Diabetic dyslipidemia is characterized by overproduction of ApoB48-containing chylomicron particles, which are an independent risk factor for the development of cardiovascular disease. Chylomicron production is regulated in-part by gut-derived hormones such as glucagon-like peptide (GLP)-1. Notably, we have shown that GLP-1 acts in a neuroendocrine manner; activating GLP-1 receptor (GLP-1R) containing vagal neurons in the portal vein thereby reducing postprandial lipemia. GLP-1Rs have also been identified in the vagal nodose ganglion (NG), however their relevance to lipoprotein metabolism is yet unknown. Syrian Golden hamsters received bilateral NG injections of either PBS vehicle, the GLP-1R agonist exendin-4, the GLP-1R antagonist exendin 9-39, or a combination of both. To investigate the propagation of vagal signalling from the portal bed hamsters received injections of GLP-1 or PBS vehicle into the portal vein, and concurrent NG injections of either exendin-4 or exendin 9-39. In addition, selective deafferination of GLP-1R-containing NG neurons was achieved via nodose injection of the cytotoxin saponin conjugated to exendin-4. After treatment, all animals received a gavage of olive oil, and an intravenous infusion of tyloxapol to prevent lipoprotein clearance. Postprandial accumulation of TG-rich lipoproteins was assessed via blood draws over a 6-hour period. Triglyceride-rich lipoprotein (TRL) fractions were then isolated via density ultracentrifugation for biochemical analysis. NG injection of exendin-4 significantly reduced postprandial plasma TG and TRL. The ability of portal GLP-1 to reduce postprandial lipemia was lost with 9-39 injection into the NG, suggesting that active GLP-1R in this ganglion are requisite to elicit this effect. Finally, selective deafferination of NG GLP-1R containing neurons caused significant rises in postprandial TG and TRL, underscoring the importance of vagal signalling in intestinal lipoprotein regulation. Disclosure S.S. Hoffman: None. K. Adeli: None. Funding Canadian Institutes of Health Research (967131)
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".