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Updated: Dec 22, 2025

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Functional alterations and transcriptomic changes during zebrafish cardiac aging.

Xuelian Shao1, Yu Fu1, Jinmin Ma1

  • 1Department of Genetics and Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China.

Biogerontology
|May 7, 2020
PubMed
Summary
This summary is machine-generated.

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Zebrafish cardiac aging begins around 24 months, showing increased DNA damage and inflammation. This study details zebrafish cardiac aging, aiding future drug target screening.

Area of Science:

  • Cardiovascular research
  • Aging biology
  • Zebrafish models

Background:

  • Aging significantly elevates cardiovascular disease risk in humans.
  • Zebrafish are increasingly utilized as a model organism for aging research.
  • Understanding cardiac aging in zebrafish is crucial but limited.

Purpose of the Study:

  • To validate aging-related markers for zebrafish cardiac aging studies.
  • To characterize the progression and regulation of cardiac aging in zebrafish.
  • To establish a foundation for novel cardiac aging models and drug screening.

Main Methods:

  • Validation of a panel of aging-related markers and assessment of their spatial-temporal specificity.
  • Analysis of cardiac aging hallmarks including DNA damage, inflammation, and mitochondrial function.
Keywords:
Aging-related markersCardiac agingFunctional alterationsTranscriptomic changes

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  • Comparison of zebrafish cardiac aging gene expression profiles with those of rat hearts.
  • Main Results:

    • Cardiac aging in zebrafish initiates around 24 months of age.
    • Aging progression involves increased DNA damage, inflammatory response, and reduced mitochondrial function.
    • Zebrafish cardiac aging exhibits similarities to aging patterns observed in rat hearts.

    Conclusions:

    • This study provides a comprehensive insight into zebrafish cardiac aging.
    • Validated markers and characterized aging processes in zebrafish hearts.
    • The findings support the use of zebrafish for developing cardiac aging models for pharmaceutical research.