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Zebrafish-Based Oncocardionephrology
2024/07/01
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personalized cancer treatment using patient-derived xenografts zebrafish model
2024/06/20
世界最強のハイスループット個別化 in vivo 蛋白尿スクリーニングシステム
2024/06/10
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Dravet 症候群ゼブラフィッシュモデルによる抗てんかん薬in vivoフェノミックスクリーニングシステム
2019/03/04
3-O-20
in vivo Phenomic Screening System for Antiepileptic Drugs using Dravet Syndrome Zebrafish Model
Mina Okamura1,2, Ikuko Mikami1,2, Junko Koiwa1,2, Yuka Takahashi1,2, Erina Kitahara1,2, Mayuko Okuno1,2, Shota Sasagawa1,2, Yuhei Nishimura3, Toshio Tanaka1,2
1Dept. Systems Pharmacology, Grad. Sch. Med., Mie University, 2Medical Zebrafish Research Center, Mie Univ., 3Dept. Integrative Pharamacology, Grad. Sch. Med., Mie Univ.
in vivo Phenomic Screening System for Antiepileptic Drugs using Dravet Syndrome Zebrafish Model
Epilepsy is a common chronic neurological disease affecting almost 1 million people in Japan and 50 million people worldwide. Despite availability of more than two dozen FDA-approved antiepileptic drugs, one-third of patients fail to receive adequate seizure control. Specifically, pediatric genetic epilepsies are often the most severe, debilitating and pharmaco-resistant forms of epilepsy.
The discovery of epilepsy associated genes suggests varied underlying pathologies and opens the door for development of precision medicine for each genetic epilepsy. Over 80% of patients diagnosed with Dravet syndrome carry a de novo mutation within the voltage-gated sodium channel gene SCN1A and these patients suffer with drug resistant and life-threatening seizures. Here we have developed zebrafish models for Dravet syndrome featuring inactivation of SCN1A with an emphasis on phenomics. we will also report recent drug screening efforts using our models with a focus on assay protocols and predictive pharmacological profiles. As the discovery and development phase rapidly moves from the lab-to-the-clinic for Dravet syndrome, it is hoped that this zebrafish-based drug discovery strategy offers a platform for how to approach any genetic epilepsy.
Dravet 症候群ゼブラフィッシュモデルによる抗てんかん薬in vivoフェノミックスクリーニングシステム
〇岡村 実奈1,2、三上 郁子1,2、小岩 純子1,2、高橋 佑佳1,2、北原 絵理奈1,2、奥野 真侑子1,2、笹川 翔太1,2、西村 有平3、田中 利男1,2
1三重大・院医・システムズ薬理、2三重大学メディカルゼブラフィッシュ研究センター、3三重大・医・統合薬理学
