Recent progress in the use of zebrafish for novel cardiac drug discovery

Mirjam Keßler1, Wolfgang Rottbauer1, Steffen Just1

  • 1a University of Ulm, Department of Medicine II , Albert-Einstein-Allee 23, 89081 Ulm, Germany +49 73 150 045 118 ; +49 73 150 045 159 ; steffen.just@uniklinik-ulm.de.

Insights

The zebrafish model offers a powerful in vivo system for cardiovascular disease research and drug discovery. Advanced techniques like CRISPR/Cas9 enable precise disease modeling for personalized medicine and efficient drug screening.

Area of Science:

  • Cardiovascular research
  • In vivo drug discovery
  • Genetics and molecular biology

Background:

  • Cardiovascular disease (CVD) is a major global health burden, driving significant healthcare costs.
  • Human genetic and animal model studies are crucial for understanding CVD etiology and identifying therapeutic targets.
  • The zebrafish has become a key in vivo model for studying human cardiovascular diseases and for drug discovery.

Purpose of the Study:

  • To review the rationale for using zebrafish in whole-organism drug discovery.
  • To highlight advancements in drug target identification, disease modeling, and high-throughput screening automation.

Main Methods:

  • Review of current literature on zebrafish as an in vivo model.
  • Discussion of genome-editing technologies (CRISPR/Cas9, TALEN) for disease modeling.
  • Exploration of high-throughput small compound screening and systems biology approaches.

Main Results:

  • Zebrafish provide a versatile platform for in vivo cardiovascular research.
  • Genome editing facilitates accurate modeling of human cardiovascular diseases.
  • Automation and systems biology enhance drug discovery efficiency.

Conclusions:

  • Genome-editing tools like CRISPR/Cas9 and TALEN enable efficient in vivo disease modeling in zebrafish.
  • Animal models simulating patient conditions, coupled with next-generation screening, advance personalized therapeutic options.
  • Systems biology approaches are vital for target identification, in vivo disease modeling, and future drug discovery.
Abstract

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