Use of the Zebrafish Model as a tool to evaluate the anti- inflammatory and antioxidant activity of molecules. Literature Review

Abstract

Introduction: The evaluation of antioxidant and anti-inflammatory properties in biological models is crucial for advancing pharmacological research. The zebrafish model (Danio rerio) is increasingly used due to its genetic similarity to humans and its translational relevance in drug discovery. This work synthesizes the existing literature on the use of zebrafish as a model for testing the efficacy of various substances with antioxidant and anti-inflammatory properties.Methods: A comprehensive literature review was conducted using the Web of Science database. Search terms included "zebra fish," "antioxidant," "anti-inflammatory," "model," and "Danio rerio." Out of fifty articles initially reviewed, thirty-three met the inclusion criteria and were analyzed further. These articles were categorized based on the source of the substances tested, including plant extracts, compounds extracted from plants, chemical compounds, and other sources.Results: The reviewed studies utilized a variety of methods to assess the antioxidant and anti-inflammatory effects in zebrafish, including observational assays and molecular techniques. The substances tested were derived mainly from plant extracts and chemical compounds. The analysis highlights significant variability in methodology and outcomes, reflecting both the versatility and the challenges of using zebrafish in this type of research.Conclusions: The zebrafish model is a valuable tool for studying antioxidant and anti-inflammatory properties, offering several advantages including genetic tractability, cost-effectiveness, and the ability to observe phenotypic changes in vivo. However, standardization of methodologies and a deeper understanding of the model’s limitations are essential for maximizing its utility in biomedical research. This review provides a foundation for future studies aiming to optimize zebrafish use in evaluating therapeutic agents.