Altered Distribution of Adrenergic Constrictor Responses Contributes to Skeletal Muscle Perfusion Abnormalities in Metabolic Syndrome
Bibliographic record
Abstract
Although studies have suggested elevations in adrenergic traffic, signaling and vascular responses with development of metabolic syndrome in obese Zucker rats (OZR), the moderate hypertension and modest impact on organ blood flow in OZR questions the multi‐scale validity of these data. To better understand the role of adrenergic function in contributing to vascular reactivity in OZR, we utilized a multi‐scale approach to investigate pressure responses, skeletal muscle blood flow and vascular reactivity in OZR following adrenergic challenge. For OZR under in vivo conditions, adrenergic challenge resulted increased pressor responses vs. LZR that were mediated via α 1 receptors, with minimal contribution by either ROS or NO bioavailability. In situ gastrocnemius muscle of OZR exhibited blunted hyperemic responses to elevated metabolic demand, partially restored with α 1 inhibition, although improved muscle performance and VO 2 required combined treatment with TEMPOL as well. Within in situ cremaster muscle, proximal resistance arterioles of OZR exhibited a more heterogeneous constrictor response to adrenergic challenge, biased toward hyperresponsiveness, as compared to that in LZR. This increasingly heterogeneous pattern was mirrored in ex vivo resistance arterioles as well, mediated via α 1 receptors, with roles for ROS and NO bioavailability evident in hyperresponsive vessels only. These results support observations of the central role of the α 1 adrenoreceptor for augmented pressor responses and elevations in vascular resistance, but identify an increased heterogeneity of constrictor reactivity with development of metabolic syndrome that is presently of unclear purpose. Support or Funding Information National Institutes of Health and American Heart Association
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".