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Abstract 4129195: Mechanisms of Healthy Aging in the Prevention of Atrial Fibrillation

2024· article· en· W4404323619 on OpenAlexaff
Andrew Rose, Rim Younes, Jiening Xiao, Harika Dasari, Yasemin Altuntaş, Feng Xiong, Patrice Naud, Martin G. Sirois, Jean‐François Tanguay, Jean‐Claude Tardif, José A. Morais, Guylaine Ferland, Pierrette Gaudreau, Roddy Hiram

Bibliographic record

VenueCirculation · 2024
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Disease and Adiposity
Canadian institutionsMcGill University Health CentreUniversité de MontréalMontreal Heart Institute
Fundersnot available
KeywordsMedicineAtrial fibrillationCardiologyInternal medicineIntensive care medicine

Abstract

fetched live from OpenAlex

Introduction: Atrial Fibrillation (AF) is the most frequent cardiac arrhythmia. AF can lead to severe complications such as myocardial infarction, strokes, and sudden death. With 70% of AF patients aged 65 and older, aging stands as the major risk factor for AF. Our group have recently contributed to reveal that old Wistar rats (20 months) are more susceptible to AF than younger rats (5 months). Interestingly, Lou/c/jall (LOU) rats, a model of healthy aging derived from Wistar rats, can live up to ~35 months old (equivalent to 100 human years). LOU rats have been identified as resistant to age-related diseases such as obesity, hypertension, and neurodegenerative disorders, which are major risk factors for AF. However, the susceptibility of LOU rats to AF have never been reported. Hypothesis: LOU rats may carry specific molecular adaptations conferring resistance to age-related cardiac remodeling and low AF vulnerability. Objectives: Characterize the vulnerability of very old LOU rats (32 months) to AF compared to old Wistar rats (22 months). Determine the atrial inflammatory profile of LOU rats and identify the molecular adaptations that may explain their resistance to AF Methods: Male and Female rats were divided into five groups: LOU and Wistar rats of 5 months (young), 20 months (old), and 32 months (very old: LOU/c rats only). AF inducibility was assessed in vivo using transesophageal electrophysiological study and cardiac structure and function were analyzed by in vivo echocardiography. Atrial electrical conduction was examined using ex vivo optical mapping. Histological analyses were performed to assess atrial fibrosis. Additionally, immunoblot analysis, qPCR, and RNA sequencing were employed to investigate the levels of biomarkers involved in atrial inflammation and fibrosis. Result: Old Wistar rats were more vulnerable to AF than young rats. Old and very old LOU were significantly more resistant to AF than old Wistar animals. LOU rats’ low susceptibility to AF was accompanied with absence of cardiac structural and functional remodeling and low levels of atrial fibrosis compared to old Wistar. Additionally, advanced age did not affect LOU rats’ atrial electrical conduction properties as compared to old Wistar rats. Conclusion: Promotion of healthy aging conditions mimicking LOU rats’ resistance to cardiac remodeling and reduction of atrial fibrosis may contribute to prevent AF in subjects with pathological aging.

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)0.001
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.006
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.002

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 head0.025
GPT teacher head0.305
Teacher spread0.280 · 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 designObservational
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".

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Citations0
Published2024
Admission routes1
Has abstractyes

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