Insulin-Induced Biphasic Responses in Rat Mesenteric Vascular Bed
Bibliographic record
Abstract
The vasodilatory capacity of insulin has been widely reported, yet some investigators have not noted this effect. Because insulin has been shown to enhance endothelin release, we speculated that endothelin could be attenuating insulin-evoked vasodilation. We examined the effect of ex vivo insulin perfusion on vascular resistance by using the Sprague-Dawley rat mesenteric vascular bed. In methoxamine-preconstricted preparations, insulin (3.0 pmol/L to 10 nmol/L) evoked a concentration-dependent decrease in perfusion pressure (PP) with a maximal response of 42.0+/-9.2%, whereas continuous exposure to 10 nmol/L insulin induced a 51.8+/-3.5% relaxation. Further exposure to 10 nmol/L insulin resulted in the generation of endothelin and a subsequent loss of the vasodilatory response. Indomethacin had no effect on vascular responses. The vasodilatory response was significantly inhibited by nitric oxide synthase inhibition (20.5+/-4.2%; P<0.01) and calcium-activated potassium channel blockade (28.5+/-3.7%; P<0.05). Endothelial denudation attenuated the vasodilatory component (20.3+/-7.1%; P<0.01) and altered the biphasic pattern of the response. The decline in insulin-evoked vasodilation was significantly prevented by an endothelin-A antagonist (BQ123), an endothelin-B antagonist (BQ788), and nonselective endothelin blockade with both BQ123 and BQ788. These results demonstrate that the endothelium is intimately involved in regulating the vascular response to insulin. Insulin promotes the release of nitric oxide and endothelium-derived hyperpolarizing factor. During sustained exposure to higher concentrations, this vasodilatory effect is countered by the pathological generation of endothelin. Endothelin receptor blockade facilitates the maintenance of vasodilation despite high insulin concentrations.
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 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 | 0.001 |
| 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".