Heat shock protein‐27 and sex‐selective regulation of muscarinic and proteinase‐activated receptor 2‐mediated vasodilatation: differential sensitivity to endothelial NOS inhibition
Bibliographic record
Abstract
BACKGROUND AND PURPOSE: Previously, we demonstrated that exogenous heat shock protein 27 (HSP27/gene, HSPB1) treatment of human endothelial progenitor cells (EPCs) increases the synthesis and secretion of VEGF, improves EPC-migration/re-endothelialization and decreases neo-intima formation, suggesting a role for HSPB1 in regulating EPC function. We hypothesized that HSPB1 also affects mature endothelial cells (ECs) to alter EC-mediated vasoreactivity in vivo. Our work focused on endothelial NOS (eNOS)/NO-dependent relaxation induced by ACh and the coagulation pathway-activated receptor, proteinase-activated receptor 2 (PAR2). EXPERIMENTAL APPROACH: , were measured without and with L-NAME and ODQ, either alone or in combination to block NO synthesis/action. Tissues from female HSPB1-null mice were treated in vitro with recombinant HSP27 and then used for bioassay as above. Furthermore, oestrogen-specific effects were evaluated using a bioassay of aorta isolated from ovariectomized mice. KEY RESULTS: Relative to males, HSPB1-null female mice exhibited an increased L-NAME-resistant relaxation induced by activation of either PAR2 or muscarinic ACh receptors that was blocked in the concurrent presence of both L-NAME and ODQ. mRNAs (qPCR) for eNOS and ODQ-sensitive guanylyl-cyclase were increased in females versus males. Treatment of isolated aorta tissue with HSPB1 improved tissue responsiveness in the presence of L-NAME. Ovariectomy did not affect NO sensitivity, supporting an oestrogen-independent role for HSPB1. CONCLUSIONS AND IMPLICATIONS: HSPB1 can regulate intact vascular endothelial function to affect NO-mediated vascular relaxation, especially in females.
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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) | 0.002 | 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".