MétaCan
Menu
Back to cohort

Exercise Reverses Metabolic Syndrome Perivascular Adipose Tissue Impairment of Aortic Relaxation

2017· article· en· W4389024473 on OpenAlexaff
Evan DeVallance, Kayla Branyan, Kent Lemaster, Stuart A. Clayton, Carly Killmer, Jefferson C. Frisbee, Paul D. Chantler

Bibliographic record

VenueThe FASEB Journal · 2017
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Disease and Adiposity
Canadian institutionsWestern University
FundersInstitut National de la Santé et de la Recherche Médicale
KeywordsInternal medicineEndocrinologyAdipose tissueParacrine signallingEndothelial dysfunctionMedicineAortaNitric oxideVasodilationChemistry

Abstract

fetched live from OpenAlex

Thoracic aorta perivascular adipose tissue (PVAT) mediates aortic function through paracrine signaling. In health these factors are predominately anti‐inflammatory and aide in proper vascular function. Our previous data shows PVAT is “brown‐like” expressing high levels of Uncoupling Protein‐1 (UCP‐1), however in the metabolic syndrome (MetS) the PVAT loses the expression of UCP‐1 shifting to a white‐like phenotype. This shift is accompanied with increased oxidative stress and expression of pro‐inflammatory cytokines, which can impair aortic endothelial nitric oxide (NO) production and alter extracellular matrix composition. The objective of the study was to determine the therapeutic efficacy of aerobic exercise in an animal model of MetS (obese zucker rats: OZR) specifically on PVAT mediated NO production, aortic relaxation, and aortic stiffness. OZR PVAT expression of UCP‐1 decreased 100‐fold accompanied by a greater than 70 fold increase in both TNFα and IL‐6. This inflammatory secretion profile further diminished endothelial dependent relaxation of the aorta by 15%. Using the DHE assay, we found a >100% increased superoxide production in the PVAT (p<0.01). Exercise is known to have anti‐oxidant and anti‐inflammatory benefits but little is know of this impact on PVAT. We previously found improved UCP‐1, SOD‐1, TNFα and IL‐6 gene expression in OZRs following 8 weeks of treadmill training. Exercise improved aortic endothelial relaxation 10% (p<0.01), additionally PVAT augmented relaxation 10% (p<0.01) instead of impairing. This may be the result of diminished superoxide production (DHE fluorescence p<0.05) in the PVAT restoring a healthy pro/anti inflammatory balance. Exercise also reduced constricting responses to phenylephrine with and without PVAT. Similarly in the lean rats (LZR) exercise training increased UCP‐1 expression along with SOD‐1 with marginal increase in aortic relaxation and PVAT mediated aortic relaxation. Exercise also augmented the anti‐contractile effects of PVAT. Structurally MetS causes increase deposition of collagen with fragmentation of elastin increasing the aorta's resistance to deformation. OZR have increase elastin modulus compared to LZR (561 vs. 304 N, p<0.01) showing increased stiffness, which is completely reversed by exercise training (561 vs. 337 N, p<0.01) in OZR. Previous PVAT gene expression showed increase in MMP9 a marker that correlate strongly with aortic stiffness and similar to the elastin modulus exercise training completely returns expression level to that of LZRs. This establishes a correlative relationship between PVAT expression of MMPs and mechanical aortic stiffness. In summary MetS PVAT mediates increases in both functional (endothelial function) and structural stiffness (matrix remodeling). 8 weeks of treadmill training in OZRs promotes beneficial gene expression in the PVAT leading to reduced superoxide production, decreased pro‐inflammatory cytokines, and retention of aortic elastic properties. Support or Funding Information The authors gratefully acknowledge the support by National Institute of Health(5P20GM109098) and American Heart Association pre‐Doctoral Fellowship.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

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

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 head0.261
Teacher spread0.248 · 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

Citations0
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueThe FASEB JournalSame topicCardiovascular Disease and AdiposityFrench-language works237,207