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Record W2792467167 · doi:10.1113/ep086892

Psychological stress‐induced cerebrovascular dysfunction: the role of metabolic syndrome and exercise

2018· article· en· W2792467167 on OpenAlexaff
Steven Brooks, Kayla W. Brnayan, Evan DeVallance, R. Chris Skinner, Kent Lemaster, Justin Sheets, Christopher R. Pitzer, Shinichi Asano, Randall W. Bryner, I. Mark Olfert, Jefferson C. Frisbee, Paul D. Chantler

Bibliographic record

VenueExperimental Physiology · 2018
Typearticle
Languageen
FieldMedicine
TopicNitric Oxide and Endothelin Effects
Canadian institutionsWestern University
FundersNational Institute of General Medical SciencesAmerican Historical AssociationFoundation for the National Institutes of Health
KeywordsMedicineMetabolic syndromeInternal medicineChronic stressOxidative stressEndocrinologySodium nitroprussideEndothelial dysfunctionDepression (economics)PathologicalNitric oxideMiddle cerebral arteryCardiologyVasodilationObesityIschemia

Abstract

fetched live from OpenAlex

NEW FINDINGS: What is the central question of this study? How does chronic stress impact cerebrovascular function and does metabolic syndrome accelerate the cerebrovascular adaptations to stress? What role does exercise training have in preventing cerebrovascular changes to stress and metabolic syndrome? What is the main finding and its importance? Stressful conditions lead to pathological adaptations of the cerebrovasculature via an oxidative nitric oxide pathway, and the presence of metabolic syndrome produces a greater susceptibility to stress-induced cerebrovascular dysfunction. The results also provide insight into the mechanisms that may contribute to the influence of stress and the role of exercise in preventing the negative actions of stress on cerebrovascular function and structure. ABSTRACT: Chronic unresolvable stress leads to the development of depression and cardiovascular disease. There is a high prevalence of depression with the metabolic syndrome (MetS), but to what extent the MetS concurrent with psychological stress affects cerebrovascular function is unknown. We investigated the differential effect of MetS on cerebrovascular structure/function in rats (16-17 weeks old) following 8 weeks of unpredictable chronic mild stress (UCMS) and whether exercise training could limit any cerebrovascular dysfunction. In healthy lean Zucker rats (LZR), UCMS decreased (28%, P < 0.05) ex vivo middle cerebral artery (MCA) endothelium-dependent dilatation (EDD), but changes in MCA remodelling and stiffness were not evident, though cerebral microvessel density (MVD) decreased (30%, P < 0.05). The presence of UCMS and MetS (obese Zucker rats; OZR) decreased MCA EDD (35%, P < 0.05) and dilatation to sodium nitroprusside (20%, P < 0.05), while MCA stiffness increased and cerebral MVD decreased (31%, P < 0.05), which were linked to reduced nitric oxide and increased oxidative levels. Aerobic exercise prevented UCMS impairments in MCA function and MVD in LZR, and partly restored MCA function, stiffness and MVD in OZR. Our data suggest that the benefits of exercise with UCMS were due to a reduction in oxidative stress and increased production of nitric oxide in the cerebral vessels. In conclusion, UCMS significantly impaired MCA structure and function, but the effects of UCMS were more substantial in OZR vs. LZR. Importantly, aerobic exercise when combined with UCMS prevented the MCA dysfunction through subtle shifts in nitric oxide and oxidative stress in the cerebral microvasculature.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.013
GPT teacher head0.286
Teacher spread0.273 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations37
Published2018
Admission routes1
Has abstractyes

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