Decreased Flow-Dependent Dilation in Carotid Arteries of Tissue Kallikrein–Knockout Mice
Bibliographic record
Abstract
- Flow-dependent dilation is a fundamental mechanism by which large arteries ensure appropriate blood supply to tissues. We investigated whether or not the vascular kallikrein-kinin system, especially tissue kallikrein (TK), contributes to flow-dependent dilation by comparing wild-type and TK-knockout mice in which the presence or absence of TK expression was verified. We examined in vitro changes in the outer diameter of perfused carotid arteries from TK(+/+) and TK(-/-) mice. In both groups, exogenous bradykinin caused a similar dilation that was abolished by the B(2) receptor antagonist HOE-140, as well as by the NO synthase inhibitor N:(omega)-nitro-L-arginine methyl ester. However, purified kininogen dilated only TK(+/+) arteries, demonstrating the essential role of TK in the vascular formation of kinins. In TK(+/+) arteries, increasing intraluminal flow caused a larger endothelium-dependent dilation than that seen in TK(-/-). In both strains the flow response was mediated by NO and by endothelium-derived hyperpolarizing factor, whereas in TK(-/-) vasoconstrictor prostanoids participated as well. HOE-140 impaired flow-dependent dilation in TK(+/+) arteries while showing no effect in TK(-/-). This compound reduced the flow response in TK(+/+) arteries to a level similar to that in TK(-/-). After NO synthase inhibition, HOE-140 no longer affected the response of TK(+/+). Impaired flow-dependent dilation was also observed in arteries from knockout mice lacking bradykinin B(2) receptors as compared with wild-type animals. This study demonstrates the active contribution of the vascular kallikrein-kinin system to one-third of the flow-dependent dilation response via activation of B(2) receptors coupled to endothelial NO release.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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 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".