Influence of Type II Diabetes on Arterial Tone and Endothelial Function in Murine Mesenteric Resistance Arteries
Bibliographic record
Abstract
An arteriograph was used to assess myogenic tone, smooth muscle contractility and the influence of endothelial function on mesenteric resistance artery reactivity in insulin-resistant mice (C57BL/KsJ-db/db) and age- and gender-matched wild-type mice. Increases in transmural pressure induced myogenic tone in arteries from both control and db/db mice. At 12 and 16 weeks of age, greater tone developed in diabetic than in control mice. In control, but not in db/db mice, pretreatment of arteries with L-NAME potentiated myogenic tone. Indomethacin and SQ29548 (PGH2/TXA2 receptor antagonist) had no efffect in control, but inhibited myogenic tone in db/db mice. Endothelium-dependent vasodilation induced by acetylcholine and bradykinin, was depressed in db/db mice and potentiated by SQ29548 and LY333531 (protein kinase C(beta) inhibitor). Messenger RNA expression levels for PKC(beta) were over-expressed 2.5-fold in db/db relative to those in control mice. However, expression levels of mRNA for eNOS, PKC(alpha), and PKC(xi) were similar in the db/db and control mice. Collectively, these results suggest that the greater myogenic tone in resistance arteries from diabetic mice may be attributable, to greater amounts of one or more vasoconstricting prostanoids. Our data indicate that in diabetic mice, basal and agonist-stimulated NO releases are depressed and NO-mediated vasorelaxation in these mice may be countered by an endogenous vasoconstrictive prostanoid. This prostanoid-induced vasoconstriction is mediated by a PKC(beta)-dependent mechanism. Therefore, heightened activation of PKC(beta) and release of a vasoconstrictor prostanoid could play a role in endothelial dysfunction associated with type II diabetes.
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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) | 0.001 | 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".