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Zebrafish as a versatile model in biomedical research, from disease modeling to regenerative medicine: a review.

Created on 23 Jul 2026

Authors

Seyede Fatemeh Heydari, Azam Abedi, Amir Mohammad Mirnejad, Hamid Kooshki, Mehrdad Moosazadeh Moghaddam

Published in

Fish physiology and biochemistry. Volume 52. Issue 4. Jul 23, 2026. Epub Jul 23, 2026.

Abstract

Zebrafish are an effective animal model widely utilized in biomedical research. They are known for their rapid reproduction and substantial genetic similarity to humans. Their transparent embryos directly enable the visualization of developmental processes and disease progression. This makes zebrafish invaluable for studying a broad range of human diseases, including cancer, cardiovascular disorders, and neurodegenerative conditions. Compared with other vertebrate models, zebrafish offer several advantages, including ease of genome editing, cost-effective maintenance, and suitability for high-throughput drug screening. Recent advancements have expanded the use of zebrafish in disease modeling and regenerative medicine, providing deeper insights into the genetic and cellular mechanisms underlying human pathologies. Zebrafish provide a robust platform for evaluating the safety, efficacy, and regenerative potential of both natural and synthetic biomaterials, including hydroxyapatite, bioactive glass nanoparticles, and bioceramics. This capability facilitates the creation of artificial tissues that closely resemble native structures. Additionally, integrating artificial intelligence technologies has improved automated data analysis and phenotyping in zebrafish studies, enhancing both accuracy and throughput. This review highlights current applications of zebrafish in disease modeling, drug discovery, regenerative medicine, and biomaterial assessment, emphasizing their evolving role as a versatile preclinical platform supported by advanced genetic and computational tools.

PMID:
42489951
Bibliographic data and abstract were imported from PubMed on 23 Jul 2026.

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