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Record W7135006713

Investigating Chamber-Dependent Cardiac Remodelling in a Murine Model of Heart Failure with Preserved Ejection Fraction

2025· other· en· W7135006713 on OpenAlexaff
Christian Paul Barakat

Bibliographic record

VenueYorkSpace (York University) · 2025
Typeother
Languageen
Field
Topic
Canadian institutionsYork University
Fundersnot available
KeywordsHeart failure with preserved ejection fractionVentricleHeart failureAtrial fibrillationDiastoleEjection fractionIntracardiac injectionHemodynamicsHypertensive heart disease
DOInot available

Abstract

fetched live from OpenAlex

Heart failure with preserved ejection fraction (HFpEF) is strongly associated with atrial fibrillation (AF), yet chamber-specific mechanisms remain poorly defined. This thesis characterizes a HFpEF model using high-fat diet, sucrose, and L-NAME (HFDLS), a combination that has not been explored in the CD1 mouse strain. Relative to normal-diet controls, HFDLS mice showed greater percent body-weight gain (45.9 to 70.8%), reduced exercise tolerance (408 to 276 m), and elevated mean arterial pressure (84.7 to 107.6 mmHg). Invasive hemodynamics demonstrated increased LV end-diastolic pressure (6.7 to 11.8 mmHg), consistent with impaired diastolic filling. Echocardiography confirmed preserved ejection fraction with concentric remodeling. Histological analysis revealed increased fibrosis in the left atrium (5.96 to 12.15%) and left ventricle (1.71 to 3.76%). Intracardiac electrophysiology showed significantly prolonged atrial arrhythmia duration (2.6 to 23.6 s), with unchanged ventricular refractoriness. F4/80⁺ immunostaining demonstrated increased macrophage density in both chambers. Overall, the model produced a modest HFpEF phenotype that will require further refinement to strengthen disease severity, but it nevertheless revealed clear atrial-dominant structural and electrical remodeling, establishing a platform to investigate TNFαmediated mechanisms linking HFpEF and AF. Keywords: Heart Failure with Preserved Ejection Fraction, Atrial Fibrillation, CD1 mouse strain, High-Fat diet+L-NAME+Sucrose

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.473
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.003
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.019
GPT teacher head0.210
Teacher spread0.191 · 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 teacher head, not a consensus.

Study designSimulation or modeling
Domainnot available
GenreOther

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
Published2025
Admission routes1
Has abstractyes

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