Smoothelin‐like 1 knock‐out is associated with altered CPI‐17 expression and myogenic tone.
Bibliographic record
Abstract
We examined the role of the smoothelin‐like 1 (SMTNL1) protein in mediating vascular smooth muscle contractile responses to pressure in resistance vessels. Arterioles from wild type (WT) and SMTNL1 global knock‐out (KO) mice were examined with pressure myography, and tissues were analyzed by western blotting. Mesenteric arterioles (3 rd order) from Smtnl1 KO mice exhibited strikingly enhanced myogenic tone potential compared to WT littermates. Vessels from KO animals are more responsive to acute pressure changes, (i.e., exhibit greater contractile response to increasing luminal pressure). Specifically, vessels from Smtnl1 KO animals were able to generate pressure induced constriction down to 75% of their passive diameter over pressures ranging from 40–120mmHg. Conversely, wild type vessels generate only modest tone. SMTNL1 was previously shown to regulate the activity of smooth muscle myosin phosphatase by altering MYPT1 expression levels. In this regard, WT and KO mesenteric arterioles showed no differences in total MYPT1 expression; however, a 4‐fold increase in CPI‐17 expression (transcript and protein) was associated with SMTNL1 KO. Based on these findings, we conclude that SMTNL1 contributes to the regulation of pressure induced contractility through modulation of the activity of the myosin light chain phosphatase, both directly and indirectly (via CPI‐17).
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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".