ZeGlobalTox: An Innovative Approach to Address Organ Drug Toxicity Using Zebrafish

被引:69
作者
Cornet, Carles [1 ]
Calzolari, Simone [1 ]
Minana-Prieto, Rafael [1 ]
Dyballa, Sylvia [1 ]
van Doornmalen, Els [2 ]
Rutjes, Helma [2 ]
Savy, Thierry [3 ]
D'Amico, Davide [1 ]
Terriente, Javier [1 ]
机构
[1] ZeClinics SL, Barcelona Biomed Res Pk, Barcelona 08003, Spain
[2] PPSC, Kloosterstr 9, NL-5349 AB Oss, Netherlands
[3] USR3695 CNRS, Multilevel Dynam Morphogenesis Unit, F-91190 Gif Sur Yvette, France
基金
英国国家替代、减少和改良动物研究中心;
关键词
ZeGlobalTox; zebrafish; high-throughput; adverse drug reaction; drug toxicity; cardiotoxicity; neurotoxicity; hepatotoxicity; TRANSGENIC ZEBRAFISH; LIVER DEVELOPMENT; DANIO-RERIO; MODEL; METABOLISM; DISEASE; TOXICOLOGY; LESSONS; ASSAY; HEPATOTOXICITY;
D O I
10.3390/ijms18040864
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Toxicity is one of the major attrition causes during the drug development process. In that line, cardio-, neuro-, and hepatotoxicities are among the main reasons behind the retirement of drugs in clinical phases and post market withdrawal. Zebrafish exploitation in high-throughput drug screening is becoming an important tool to assess the toxicity and efficacy of novel drugs. This animal model has, from early developmental stages, fully functional organs from a physiological point of view. Thus, drug-induced organ-toxicity can be detected in larval stages, allowing a high predictive power on possible human drug-induced liabilities. Hence, zebrafish can bridge the gap between preclinical in vitro safety assays and rodent models in a fast and cost-effective manner. ZeGlobalTox is an innovative assay that sequentially integrates in vivo cardio-, neuro-, and hepatotoxicity assessment in the same animal, thus impacting strongly in the 3Rs principles. It Reduces, by up to a third, the number of animals required to assess toxicity in those organs. It Refines the drug toxicity evaluation through novel physiological parameters. Finally, it might allow the Replacement of classical species, such as rodents and larger mammals, thanks to its high predictivity (Specificity: 89%, Sensitivity: 68% and Accuracy: 78%).
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页数:19
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