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Endogenous dipeptidyl‐peptidase IV modulates skeletal muscle arteriolar diameter in rats

2016· article· en· W2920297842 on OpenAlexafffund
Leslie E. Neidert, Mohammed Al‐Tarhuni, Daniel Goldman, Heidi A. Kluess, Dwayne N. Jackson

Bibliographic record

VenueThe FASEB Journal · 2016
Typearticle
Languageen
FieldNeuroscience
TopicNeuropeptides and Animal Physiology
Canadian institutionsWestern University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsSkeletal muscleDipeptidyl peptidaseEndogenyDipeptidyl peptidase-4ChemistryInternal medicineEndocrinologyDipeptidyl peptidase-4 inhibitorBiophysicsBiochemistryMedicineBiologyEnzymeType 2 diabetesDiabetes mellitus

Abstract

fetched live from OpenAlex

Neuropeptide Y 1‐36 is a potent vasoconstrictor that plays an important role in resistance of smaller arterioles. The enzyme, dipeptidyl‐peptidase IV (DPP‐IV), is present on the smooth muscle cell membrane and converts NPY 1‐36 to its non‐vasoconstricting form, NPY 3‐36 . New research suggests that DPP‐IV is also released from skeletal muscle as a myokine in response to different stimuli including muscle contractions and whey protein supplementation. The role of DPP‐IV as a myokine is unknown. It was hypothesized that whey protein will release DPP‐IV from the muscle and will attenuate neuropeptide Y Y 1 ‐mediated vasoconstriction in skeletal muscle arterioles. The left gluteus maximus (GM) muscle of anesthetized male Sprague‐Dawley rats (n=8) was exposed for intravital video microscopy and superfused with physiological salt solution (5 ml/min; pH 7.4, 35°C). Once a stable baseline was established, the GM arteriolar network was scanned and imaged from 1 st to 6 th order arterioles (1A to 6A). Following baseline imaging, superfusion solution was switched to 100mM whey protein isolate (WPI) dissolved in PSS, to stimulate release of DPP‐IV from the muscle. Imaging of the network was repeated after arteriolar responses stabilized. Next, a DPP‐IV inhibitor (K579; 4μm) was added to the PSS + WPI superfusion and imaging of the GM arteriolar network was repeated. One‐Way ANOVA for each branch of the network was used to determine statistical significance with alpha set at 0.05. When the WPI solution was suffused over the muscle the entire arteriolar network vasodilated. The magnitude of change in arteriolar diameter increased with progressing arteriolar order, where WPI promoted a 14% increase in arteriolar diameter in 1A (p=0.0002), 17% in 3A (p<0.0001), and 23% in 6A (p<0.0001). However, when the DPP‐IV inhibitor was added to the WPI superfusion vasodilation was lost and arteriolar diameters across the network returned to baseline. These findings show that DPP‐IV is released from skeletal muscle in response to topically applied WPI, which has potential to vasodilate skeletal muscle arteriolar networks, likely via conversion of NPY 1‐36 to NPY 3‐36 . Future research should address if muscle contractions increase DPP‐IV secretion from skeletal muscle and affect local blood flow control. Support or Funding Information Funded by NSERC and Western Visiting Scholars Program

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 score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.039
GPT teacher head0.239
Teacher spread0.200 · 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".

Quick stats

Citations0
Published2016
Admission routes2
Has abstractyes

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