MétaCan
Menu
← Back to cohort

Enhancement of Endothelial KCa Channel Activity as a Novel Strategy to Oppose Atherosclerosis

2021· article· en· W3166637744 on OpenAlexafffund
O. Daniel Vera, Ramesh C. Mishra, Darrell D. Belke, Heike Wulff, Andrew P. Braun

Bibliographic record

VenueThe FASEB Journal · 2021
Typearticle
Languageen
FieldMedicine
TopicCardiac electrophysiology and arrhythmias
Canadian institutionsUniversity of Calgary
FundersNatural Sciences and Engineering Research Council of CanadaCanadian Institutes of Health Research
KeywordsEndothelial dysfunctionMedicineEndotheliumVasodilationArterial stiffnessNitric oxideInternal medicineCardiologyAortaEndocrinologyBlood pressure

Abstract

fetched live from OpenAlex

Atherosclerosis is a harmful cardiovascular condition in which low‐density lipoprotein cholesterol (LDL‐C) elevates in the blood, passes through the arterial endothelium, and promotes endothelial dysfunction (ED). ED can facilitate fatty plaque formation, which decreases intraluminal arterial diameter and blood flow, and increases arterial stiffness. A hallmark feature of ED is decreased bioavailability of nitric oxide (NO), a pluripotent compound with vasodilatory effects, along with anti‐inflammatory and anti‐proliferative actions in the arterial wall. Our group has previously reported that pharmacological activation of endothelial Ca 2+ ‐activated K + channels, i.e. KCa2.3 and KCa3.1, can reverse ED, in part by enhancing endothelial NO production. Given the contributions of ED and NO in atherosclerosis, we hypothesize that enhancing endothelial function will mitigate the development and/or severity of atherosclerosis. The aim of this proof‐of‐concept study is to determine whether prolonged administration of the KCa channel activator SKA‐31 in vivo can mitigate atherosclerosis by decreasing ED, arterial stiffness and/or fatty plaque formation. In this presentation, I will describe preliminary data obtained during the initial phase of this study. To mimic human atherosclerosis, we are using male Apoe knockout (Apoe‐/‐) mice, which begin to develop signs of progressive aortic injury at ~8 weeks of age. Experimentally, Apoe‐/‐ mice on a regular chow diet receive one of three daily treatments for 16 weeks: SKA‐31 (10 mg/kg), the KCa3.1 channel blocker senicapoc (40 mg/kg) or drug vehicle alone. As previous studies have reported that KCa3.1 channel blockers can reduce atherosclerotic events, we are using this treatment condition as a benchmark in our study. Drugs are formulated in miglyol and condensed milk, which is readily ingested by the mice. Plasma LDL‐C levels are being measured to determine whether drug treatment modifies the levels of this important pathogenic molecule. Echocardiography is being used to measure standard cardiac function, along with aortic flow and pulse wave velocity as markers of arterial stiffness. Following euthanasia, vasodilatory responses of the aorta are examined by wire myography to determine whether drug treatment improves endothelial function. Histopathological analyses are being performed to elucidate aortic structure and integrity (with H&E staining) and the extent of atherosclerotic plaque formation in the aorta (with Oil Red O staining). Lastly, macrophage proliferation in the aortic wall will be assessed by immunocytochemistry, as macrophages proliferate rapidly in fatty plaque sites. Positive results from this study will facilitate future research to investigate the underlying cellular mechanisms by which endothelial KCa channel activation opposes atherogenesis.

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 score0.005

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 head0.030
GPT teacher head0.282
Teacher spread0.253 · 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
Published2021
Admission routes2
Has abstractyes

Explore more

Same venueThe FASEB Journal→Same topicCardiac electrophysiology and arrhythmias→French-language works237,207→