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D‐4F attenuates calcineurin‐induced cardiac hypertrophy and heart failure

2009· article· en· W2280407519 on OpenAlexaff
Na Wei, Zhi‐Dong Ge, Jianhai Du, Jianzhong An, David C. Warltier, Kirkwood A. Pritchard, Yang Shi

Bibliographic record

VenueThe FASEB Journal · 2009
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicSignaling Pathways in Disease
Canadian institutionsPediatric Oncology Group
Fundersnot available
KeywordsCalcineurinInternal medicineHeart failureEndocrinologyMuscle hypertrophyNFATMedicineFibrosisCardiac function curveCardiologyChemistryTransplantation

Abstract

fetched live from OpenAlex

D‐4F, an apolipoprotein A‐I mimetic, has been shown to improve vascular function in atherosclerosis, diabetes and a variety of inflammatory diseases. However, the potential benefits of D‐4F in cardiac hypertrophy remain unknown. Calcineurin is a calcium‐sensitive type IIB phosphatase, which has been demonstrated to play a role in human heart hypertrophy. Transgenic Calcineurin A (CnA‐TG) mouse is an established murine model of cardiac hypertrophy and heart failure. Here, we investigate whether D‐4F attenuates cardiac hypertrophy and heart failure in CnA‐TG mice. CnA‐TG and wild type mice, immediately after weaning were treated with PBS or D‐4F (1 or 3 mg/kg/day) for 8 weeks. D‐4F dose‐dependently reduced ventricular mass to body weight ratios, cardiomyocyte cell size as well as interstitial fibrosis. Echocardiography revealed that D‐4F significantly prevented left ventricular wall thickness, elevated mitral E/A ratios, decreased E wave deceleration times and cardiac arrhythmias in CnA‐TG mice. Additionally, real‐time PCR shows that D‐4F decreased expression of ANP, β‐MHC; increased expression of sarcoplasmic reticulum Ca 2+ ATPase and c‐fos. Cardiac hemodynamics, plasma lipids and lipoprotein levels were essentially unchanged among the groups. In conclusion, D‐4F effectively reduces cardiac hypertrophy to protect the hearts of CnA‐TG mice from programmed failure.

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 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 score0.007
Threshold uncertainty score0.364

Codex and Gemma teacher scores by category

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 integrity0.0000.000
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 head0.012
GPT teacher head0.240
Teacher spread0.228 · 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.

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
Published2009
Admission routes1
Has abstractyes

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