MINI REVIEW article
Front. Nat. Prod.
Sec. Biological Activities of Natural Products
This article is part of the Research TopicFrontiers in Natural Products: Review CollectionView all 6 articles
Zebrafish Models for Neurological Disorders: A Platform for Natural Product-Based Drug Discovery
Provisionally accepted
- 1Graduate Institute of Natural Products, College of Pharmacy, Kaohsiung Medical University, Kaohsiung, Taiwan
- 2Shoolini University, Solan, India
- 3Panjab University, Chandigarh, India
- 4Sagar Group of Institutions, Bhopal, India
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Zebrafish (Danio rerio) have become a popular model organism in biomedical research due to their genetic similarity to humans (approximately 70%) and rapid embryonic development. They have proven instrumental in advancing our understanding of various human diseases, including cancer, neurodegenerative disorders, cardiovascular diseases, and developmental abnormalities. Their incorporation in research facilitated advancements in understanding disease processes, screening potential drugs of synthetic or natural origin, and developing therapeutic interventions. This comprehensive review evaluates the efficacy of zebrafish models in advancing our understanding of human neurological and neurodegenerative disorders, particularly in Alzheimer's disease. We discuss the strengths and limitations of zebrafish models, highlighting their contributions to disease-focused research and significant insights derived from these models. Specifically, we explore their role as a natural products screening platform and focus on understanding neuronal development and associated disorders. This review aims to provide a balanced assessment of the benefits and limitations of zebrafish models, highlighting their potential to advance our understanding of neurological diseases.
Keywords: danio rerio, Zebrafish model, Neurological Disease, High-Throughput Screening, regenerative abilities, Alzheimer's disease
Received: 04 Aug 2025; Accepted: 03 Dec 2025.
Copyright: © 2025 Korinek, Chauhan, Raviraj, Sobti and Shukla. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Michal Korinek
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.