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Record W7055603845

Dysregulated activation of immune-inflammatory responses contributes to vascular damage in atherosclerosis and hypertension

2015· dissertation· en· W7055603845 on OpenAlexfundno aff

Bibliographic record

VenueeScholarship@McGill (McGill) · 2015
Typedissertation
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
FundersCanadian Institutes of Health ResearchJewish General HospitalGovernment of CanadaCanadian Vascular Network
KeywordsAngiotensin IIEndothelial dysfunctionVascular diseaseInflammationPathophysiologyApolipoprotein BEndotheliumKnockout mouseVascular smooth muscle
DOInot available

Abstract

fetched live from OpenAlex

Atherosclerosis and hypertension (HTN) are major contributors to the development and progression of cardiovascular disease (CVD).The underlying pathophysiology of atherosclerosis and HTN is similar in that both affect the structural and functional properties of the vasculature as a result of enhanced immune-inflammatory processes in the vascular wall.Vasoactive peptides such as angiotensin (Ang) II and endothelin (ET)-1 can contribute to vascular inflammatory responses and damage, and have been implicated in the progression of both atherosclerosis and HTN.We hypothesize that dysregulated activation of immune-inflammatory mechanisms by vasoactive peptides contributes to the progression of vascular damage in atherosclerosis and HTN.The objectives of this thesis were 1) to determine the role of ET-1mediated vascular immune-inflammatory mechanisms in progression of hyperlipidemia-induced atherosclerosis and formation of abdominal aortic aneurysms (AAA), 2) to investigate the contribution of pro-inflammatory ET-1 signaling to small artery dysfunction in hyperlipidemia-induced atherosclerosis, and 3) to study the role of anti-inflammatory T regulatory lymphocytes on vascular immune-inflammatory responses in Ang II-induced HTN.The first study shows that endothelium-specific ET-1 overexpression in atherosclerotic apolipoprotein E knockout (Apoe -/-) mice fed a high fat diet exaggerates development of aortic atherosclerotic plaques and triggers formation of AAA.This is accompanied by increase in aortic immune-inflammatory responses, spleen pro-inflammatory monocytes, and expression of matrix metalloproteinase-2 in atherosclerotic plaques.This study also suggests that the suppressive capacity of T regulatory lymphocytes may be reduced during atherosclerosis progression.The second study shows that ET-1 overexpression in high fat diet-fed atherosclerotic Apoe -/-mice results in remodeling of endothelial signaling pathways and potassium channels mediating endothelium-dependent relaxation.Although this remodeling manifests as compensatory preservation of endothelial iii function, it may in fact represent loss of regulation of endothelium-dependent relaxation in resistance arteries.The third study demonstrates that absence of T regulatory lymphocytes exaggerates microvascular damage in Ang II-induced HTN.The findings of this study show that T regulatory lymphocytes exert vascular protection in part by controlling innate and adaptive immune responses.To conclude, chronic low-grade vascular inflammation in atherosclerosis and HTN involves vasoactive peptide-mediated dysregulation of proinflammatory and anti-inflammatory mechanisms in favor of the former.Targeting immune-inflammatory mechanisms may allow us to limit the progression of atherosclerosis and HTN, and therefore the development of CVD.

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 score0.004

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 communication0.0010.000
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 head0.016
GPT teacher head0.250
Teacher spread0.233 · 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
Published2015
Admission routes1
Has abstractyes

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