Characterizing the role of RGS5 in regulating the myogenic vasoconstrictor response
Bibliographic record
Abstract
The myogenic response is an established, but poorly understood, mechanism mediated by arteriolar vascular smooth muscle cells (VSMCs). This mechanism is important for both the maintenance of resting vascular tone and the protection of microvascular beds from pressure‐induced injury. Recent evidence supports a role for G‐proteins in mediating this process. Accordingly we hypothesize that regulator of G‐protein signaling proteins that are highly expressed in VSMCs contribute to the regulation of the myogenic response. One such protein, RGS5, is highly expressed in mural cells of arterial vessels and microvasculature. To examine the potential role of RGS5 in the modulation of myogenic constriction, perfusion experiments were conducted on pressurized mesenteric arteries from wild type and RGS5 knockout mice. In support of a role for RGS5 regulating this process, RGS5‐deficient vessels show a trend towards increased sensitivity to elevated pressures and a greater extent of pressure‐induced vascular tone compared to wild type controls. The RGS‐dependent effect on vascular tone is specific to the myogenic response since wild type and knockout vessels responded similarly to phenylepherine and acetylcholine. These data suggest the need to further evaluate the molecular mechanisms whereby RGS5 regulates myogenic constriction in VSMCs.
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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".