Contributions of Rho-kinase and AMP-related kinase signaling pathways to responses mediated by endothelium-derived contracting factors in diabetic rat aorta
Bibliographic record
Abstract
Diabetes-induced endothelial damage leads to vascular dysfunction. The current study investigated the effects of short-term (4-week) streptozotocin (STZ)-induced diabetes on responses mediated by endothelium-derived contracting factors (EDCFs) as well as possible contributions of Rho-kinase and AMP-activated kinase (AMPK) signaling pathways. The effects of STZ-diabetes on vascular function were examined in isolated thoracic aorta preparations of 30-week-old rats (n = 27). The diabetes-associated changes in vascular function were studied with calcium ionophore A23187, acetylcholine, Rho-kinase inhibitor Y27632 ((R)-(+)-trans-4-(1-aminoethyl)-N-(4-pyridyl)cyclohexanecarboxamide dihydrochloride), and AMPK activator AICAR (5-aminoimidazole-4-carboxamide-1-β-d-ribofuranoside). The phosphorylation of acetyl-CoA carboxylase, AMPK, and phospholamban and the protein levels of sarcoplasmic/endoplasmic Ca2+-ATPase 2 (SERCA2) and Rho-associated protein kinase (ROCKII) were measured in aortic preparations. Although the acetylcholine-mediated relaxation responses were preserved in 4-week STZ-induced diabetes, the increased activation of the Rho-kinase pathway was demonstrated via twofold enhancement in A23187-mediated contractile responses and significantly augmented protein levels of ROCKII. The AICAR-activated AMPK-mediated relaxation response was also augmented ∼4-fold in diabetic rats, without any alteration in phospholamban phosphorylation; further, this relaxation response suppressed A23187-mediated contraction in both groups. Diabetic rats showed an increase in AICAR-induced AMPK-mediated vasorelaxation and a 2.5-fold elevation of phosphorylated AMPK levels. These results indicate a possible compensation between hyperglycemia-induced endothelium-dependent hypercontractility and AMPK-mediated vasorelaxation in 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".