Role of Chronic Stress and Exercise on Microvascular Function in Metabolic Syndrome
Bibliographic record
Abstract
PURPOSE: The present study examined the effect of unpredictable chronic mild stress (UCMS) on peripheral microvessel function in healthy and metabolic syndrome (MetS) rodents and whether exercise training could prevent the vascular dysfunction associated with UCMS. METHODS: Lean and obese (model of MetS) Zucker rats (LZR and OZR) were exposed to 8 wk of UCMS, exercise (Ex), UCMS + Ex, or control conditions. At the end of the intervention, gracilis arterioles (GA) were isolated and hung in a pressurized myobath to assess endothelium-dependent (EDD) and endothelium-independent (EID) dilation. Levels of nitric oxide (NO) and reactive oxygen species (ROS) were measured through 4-amino-5-methylamino-2',7'-difluorofluorescein diacetate and dihydroethidium staining, respectively. RESULTS: Compared with LZR controls, EDD and EID were lower (P = 0.0001) in LZR-UCMS. The OZR-Ex group had a higher EDD (P = 0.0001) and EID (P = 0.003) compared with OZR controls, whereas only a difference in EDD (P = 0.01) was noted between the LZR-control and LZR-Ex groups. Importantly, EDD and EID were higher in the LZR (P = 0.0001; P = 0.02) and OZR (P = 0.0001; P = 0.02) UCMS + Ex groups compared with UCMS alone. Lower NO bioavailability and higher ROS were noted in the LZR-UCMS group (P = 0.0001), but not OZR-UCMS, compared with controls. The Ex and UCMS-Ex groups had higher NO bioavailability (P = 0.0001) compared with the control and UCMS groups, but ROS levels remained high. CONCLUSIONS: The comorbidity between UCMS and MetS does not exacerbate the effects of one another on GA EDD responses, but does lead to the development of other vasculopathy adaptations, which can be partially explained by alterations in NO and ROS production. Importantly, exercise training alleviates most of the negative effects of UCMS on GA function.
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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".