Brain Glucagon-Like Peptide-1 Regulates Arterial Blood Flow, Heart Rate, and Insulin Sensitivity
Bibliographic record
Abstract
OBJECTIVE: To ascertain the importance and mechanisms underlying the role of brain glucagon-like peptide (GLP)-1 in the control of metabolic and cardiovascular function. GLP-1 is a gut hormone secreted in response to oral glucose absorption that regulates glucose metabolism and cardiovascular function. GLP-1 is also produced in the brain, where its contribution to central regulation of metabolic and cardiovascular homeostasis remains incompletely understood. RESEARCH DESIGN AND METHODS: Awake free-moving mice were infused with the GLP-1 receptor agonist exendin-4 (Ex4) into the lateral ventricle of the brain in the basal state or during hyperinsulinemic eu-/hyperglycemic clamps. Arterial femoral blood flow, whole-body insulin-stimulated glucose utilization, and heart rates were continuously recorded. RESULTS: A continuous 3-h brain infusion of Ex4 decreased femoral arterial blood flow and whole-body glucose utilization in the awake free-moving mouse clamped in a hyperinsulinemic-hyperglycemic condition, only demonstrating that this effect was strictly glucose dependent. However, the heart rate remained unchanged. The metabolic and vascular effects of Ex4 were markedly attenuated by central infusion of the GLP-1 receptor (GLP-1R) antagonist exendin-9 (Ex9) and totally abolished in GLP-1 receptor knockout mice. A correlation was observed between the metabolic rate and the vascular flow in control and Ex4-infused mice, which disappeared in Ex9 and GLP-1R knockout mice. Moreover, hypothalamic nitric oxide synthase activity and the concentration of reactive oxygen species (ROS) were also reduced in a GLP-1R-dependent manner, whereas the glutathione antioxidant capacity was increased. Central GLP-1 activated vagus nerve activity, and complementation with ROS donor dose-dependently reversed the effect of brain GLP-1 signaling on peripheral blood flow. CONCLUSIONS: Our data demonstrate that central GLP-1 signaling is an essential component of circuits integrating cardiovascular and metabolic responses to hyperglycemia.
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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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".