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Record W7071398854

The role of non-coding RNAs in vascular damage in hypertension and CKD

2018· dissertation· en· W7071398854 on OpenAlexfundno aff

Bibliographic record

VenueeScholarship@McGill (McGill) · 2018
Typedissertation
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMicroRNA in disease regulation
Canadian institutionsnot available
FundersCanadian Institutes of Health ResearchServierMcGill University
KeywordsmicroRNAVascular diseaseEndothelial dysfunctionAngiotensin IIPathophysiology of hypertensionEndotheliumKidneyRenin–angiotensin systemOxidative stressBlood pressure
DOInot available

Abstract

fetched live from OpenAlex

Hypertension and chronic kidney disease (CKD) are two of the most prevalent global health concerns that account for millions of deaths per year.They are both associated with vascular damage that is characterized by vascular remodeling and stiffening, as well as endothelial dysfunction, which contribute to further development of the disease and lead to end organ damage.MicroRNAs (miRNAs) are important non-coding RNA regulators of gene expression that cause translational repression and transcript degradation upon binding to their target mRNAs.miRNAs have been demonstrated to be associated with hypertension and CKD, and play a critical role in vascular cell development and function.However, their role in vascular damage is still poorly studied.We hypothesized that vascular and circulating miRNAs are dysregulated in hypertension and CKD; the dysregulation of vascular miRNAs is a key driving force of pathological gene expression changes that contribute to vascular damage; key dysregulated vascular miRNAs are potential therapeutic targets and key dysregulated circulating miRNAs are potential biomarkers for vascular damage in hypertension and CKD.The thesis contains 3 studies testing our hypotheses.viii miR-382-5p, et a augmenté Ehf dans les AM, et a retardé l'élévation de la PA et ré duit les dommages vasculaires chez les souris infusées avec l'Ang II pendant 14 jours.Dans la deuxiè me é tude, nous avons profilé les miARN comme plus haut dans les petites artè res de biopsies sous-cutané es de la fesse de sujets non hypertendus, hypertendus ou atteints d'IRC.En combinant les donné es de cette é tude avec celles de la premiè re é tude, nous avons trouvé un miARN commun, miR-145-3p, qui é tait diminué dans les souris infusé es avec l'Ang II pendant 7 jours et les patients avec IRC.Cependant, il reste à pré ciser si miR-145-3p agit sur les dommages vasculaires dans le modè le d'hypertension induit par l'Ang II et dans l'IRC.Dans la troisiè me é tude, nous avons profilé les miARN circulant dans le plasma de la cohorte de sujets de l'étude précédente.Nous avons identifié 4 miARN exprimé s diffé rentiellement, let-7g-5p, miR-26a-5p, miR-191-5p et let-7b-5p.let-7g-5p é tait corré lé avec le taux de filtration glomé rulaire estimé .Nous avons é galement trouvé une corré lation entre let-7g-5p et les gè nes exprimé s de faç on diffé rentielle dans les petites artè res de patients avec IRC.En ré sumé , miR-431-5p et sa cible Ehf pourraient agir comme des ré gulateurs maî tres des dommages vasculaires dans l'hypertension.miR-431-5p a le potentiel de servir comme cible thé rapeutique pour contrer les dommages vasculaires et l'hypertension.miR-145-3p pourrait jouer un rôle dans le dé veloppement des dommages vasculaires induits par l'Ang II et l'IRC.Let-7g-5p a un potentiel clinique pour servir comme biomarqueur des dommages vasculaires dans l'IRC.xv

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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)0.001
metaresearch head score (Gemma)0.001
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
Metaresearch0.0010.001
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 head0.007
GPT teacher head0.222
Teacher spread0.215 · 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 routes1
Has abstractyes

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