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Exercise training improves cerebral endothelial function in juvenile and mature Ossabaw miniature‐pigs

2022· article· en· W4225424113 on OpenAlexafffund
Cameron J. Morse, Zeyad El Karsh, Katie Y. Turnbull, Nici N. Scaefer, Yehia El Karsh, Rory A. Marshall, Jude S. Morton, Maria Jarque Trigo, T. Dylan Olver

Bibliographic record

VenueThe FASEB Journal · 2022
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Disease and Adiposity
Canadian institutionsUniversity of Saskatchewan
FundersSaskatchewan Health Research Foundation
KeywordsJuvenileMiniature swineTraining (meteorology)MedicineInternal medicineCardiologyBiologyPhysicsGenetics

Abstract

fetched live from OpenAlex

Background Chronic hyperglycemia promotes excessive production of endothelial reactive oxygen species (ROS), which may impair nitric oxide (NO) signaling, a hallmark of vascular disfunction. How maturation and exercise training influence this process in the cerebrovasculature has yet to be explored. The purpose of this study was to examine the role of ROS on endothelial‐dependent cerebral dilation at different stages of maturation in sedentary and exercise trained hyperglycemic pigs. It was hypothesized that mature pigs would display reduced endothelial NO‐dependent dilation coinciding with augmented NAD(P)H Oxidase (NOX; involved in ROS production) activity and reduced superoxide dismutase (SOD; involved in ROS clearance) activity compared with juvenile pigs. Furthermore, compared with sedentary (SED) pigs, pigs that completed high‐intensity interval training (HIIT) would exhibit enhanced endothelial NO‐dependent dilation coupled with decreased NOX and increased SOD signaling. Methods Twenty juvenile (n=10F/10M; 3±1 mo.) and 17 mature (n=9F/7M; 14±1 mo.) Ossabaw miniature‐pigs were divided into SED or HIIT groups. The HIIT consisted of 3 sessions per week (5X3 min intervals interspersed with 1 min recovery periods performed on a motorized treadmill) for 8 weeks. Animals were group housed with access to 1 kg of feed/pig/day and ad libitum access to a 10% sugar water solution. At the end of the intervention pigs were euthanized, and cerebral arteries were harvested for arterial myography experiments. To examine endothelial NO‐dependent relaxation, vasomotor responses to bradykinin (BK; 3e‐15M to 1e‐6M) were studied in the presence or absence of NO synthase inhibition (L‐NAME; 3e‐4 M). Further, to examine the role of ROS signaling, vasodilatory responses to BK were studied under the following conditions: 1) NOX inhibition (Apocynin; 1e‐4 M) and 2) SOD mimetic (TEMPOL; 1e‐4 M). Results At the end of the trial all groups were considered hyperglycemic (mean plasma glucose> 8.5 mmol/L), and plasma glucose values were lower in mature (8.8±1.6 mmol//L) vs. juvenile pigs (10.3±2.2 mmol/L; main effect; P<0.05). Regarding cerebral vasomotor control, BK‐induced dilation was greater in HIIT vs. SED groups (main effect; P<0.01), owing to enhanced NO signaling (main effect; P=0.05). Treatment with a NOX inhibitor increased BK‐induced dilation in juvenile (P=0.05) and mature SED pigs (P=0.01). Treatment with a SOD mimetic did not influence dilation in juvenile SED pigs (P=0.87), and increases in BK‐induced dilation in mature SED pigs approached significance (P=0.07). Conclusion These results show that despite being hyperglycemic, HIIT improved endothelial‐dependent cerebral dilation in juvenile and mature pigs likely owing to enhanced NO bioavailability, secondary to decreased NOX and increased SOD signaling. Maturity was associated with lower levels of hyperglycemia and did not impair cerebral endothelial‐dependent dilation.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

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 head0.011
GPT teacher head0.219
Teacher spread0.208 · 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 designBench or experimental
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".

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Citations0
Published2022
Admission routes2
Has abstractyes

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