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Chronic administration of an endothelial KCa channel activator (SKA‐31) improves agonist evoked vasodilation in mesenteric arteries of aged rats

2018· article· en· W3175755976 on OpenAlexafffundabout
Rayan Khaddaj‐Mallat, Cini Mathew John, Heike Wulff, Andrew P. Braun

Bibliographic record

VenueThe FASEB Journal · 2018
Typearticle
Languageen
FieldMedicine
TopicNitric Oxide and Endothelin Effects
Canadian institutionsUniversity of Calgary
FundersCanadian Institutes of Health Research
KeywordsElectrical impedance myographyPhenylephrineMesenteric arteriesVasodilationMedicineInternal medicineEndothelial dysfunctionVasoconstrictionEndocrinologyEndotheliumBradykininAgeingCardiologyBlood pressureArteryReceptor

Abstract

fetched live from OpenAlex

Endothelial dysfunction occurs in healthy ageing, and may contribute to the development of cardiovascular complications (e.g. hypertension, atherosclerosis) that are more prevalent in aged individuals. One cause of age‐related endothelial dysfunction is an imbalance in the generation and/or release of vasodilatory and constrictor agents by the vascular endothelium (e.g. reduced NO bioavailability). Ageing may also impact the expression of endothelial proteins involved with vasoactive signaling to the surrounding smooth muscle. The goal of our study was to assess the effects of long term, in vivo administration of SKA‐31, a small molecule activator of KCa 2.x and KCa 3.1 channels, on the functional reactivity of mesenteric arteries in healthy aged rats. Young (225–250 g, 12 weeks of age) and aged (600–700 g, 18 months of age) male Sprague Dawley (SD) rats were treated daily with either vehicle or 10 mg/kg SKA‐31 for 8 weeks, after which mesenteric arteries (i.e. 200–400 μm internal diameter) were isolated and cannulated in an arterial pressure myography chamber. Experimentally, arteries were pressurized to 70 mmHg, preconstricted with 1 μM phenylephrine (PE) and superfused at 6–7 ml/min with Krebs' solution at ~36°C using a peristaltic pump. Vasoactive agents were added directly to the superfusate. The PE‐induced decrease in the intraluminal diameter of pressurized mesenteric arteries (i.e. % change of maximal passive diameter) was significantly greater in aged (44.3 ± 2.7%, n=8) vs. young animals (38.1 ± 3.6%, n=12), whereas chronic SKA‐31 treatment of aged rats reduced the level of vasoconstriction to 36.5 ± 4.0% (n=8). Aged mesenteric arteries dilated less in response to 0.3 μM acetylcholine (ACh), 0.3 μM bradykinin (BK) and 10 μM sodium nitroprusside (SNP) (i.e. inhibition of active tone = 37.0 ± 1.9%, 44.6 ± 4.5%, 55.5 ± 4.8%, respectively; n=4) compared with young arteries (48.3 ± 6.8%, 62.0 ± 7.1%, 68.0 ± 7.9%, respectively, n=4). Chronic treatment of aged SD rats with SKA‐31 improved vasodilation evoked by ACh, BK and SNP (58.5 ± 5.5%, 64.3 ± 5.5%, 76.7 ± 4.4%, respectively; n=4), however, SKA‐31 treatment had no effect on the dilations evoked by either 10 μM adenosine or 5 μM pinacidil. Molecular analysis confirmed that expression of KCa 2.3 and KCa 3.1 channels was significantly decreased in aged mesenteric arteries compared with young vessels. Chronic SKA‐31 administration significantly increased the expression of these channels relative to vehicle‐treated animals (n=3). Collectively, these data demonstrate that chronic SKA‐31 treatment can improve evoked vasodilation in the aged mesenteric microcirculation, in part by enhancing the expression of endothelial KCa 2.3 and KCa 3.1 channels. Support or Funding Information Supported by research funding to APB from the Canadian Institutes of Health Research. RKM is a recipient of a postdoctoral scholarship from the Libin Cardiovascular Institute and Cumming School of Medicine, Univ. of Calgary. This abstract is from the Experimental Biology 2018 Meeting. There is no full text article associated with this abstract published in The FASEB Journal .

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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)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.018
GPT teacher head0.280
Teacher spread0.262 · 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
Published2018
Admission routes3
Has abstractyes

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