Jihun Kim , Bilal Shaker , Ara Ko , Sunggon Yoo , Dokyun Na , Hoon-Chul Kang
{"title":"基于精准医学方法的SCN2A (R1629L)突变儿童癫痫患者抗癫痫药物体外建模及计算筛选","authors":"Jihun Kim , Bilal Shaker , Ara Ko , Sunggon Yoo , Dokyun Na , Hoon-Chul Kang","doi":"10.1016/j.compbiomed.2025.110100","DOIUrl":null,"url":null,"abstract":"<div><div>This study aimed to develop personalized anti-epileptic drugs for pediatric patients with an <em>SCN2A</em> (R1629L) mutation, which is unresponsive to conventional sodium channel blockers. The mutation was identified using genomic DNA sequencing, and patient-derived induced pluripotent stem cells (iPSCs) were differentiated into the neuronal network to mimic seizure activity. A total of 1.6 million compounds were screened using computational methods, identifying five candidates with high affinity to the mutant <em>SCN2A</em> protein, low potential toxicity, and high blood–brain barrier permeability. These compounds were pharmacologically evaluated using the patient-derived <em>in vitro</em> seizure model, which replicated the abnormal electrophysiological characteristics of epilepsy. Two of the five candidate compounds effectively modulated electrophysiological activities; moreover, these compounds were 100 times more potent than phenytoin. Therefore, this study demonstrates the feasibility of precision medicine in epilepsy treatment, emphasizing the benefits of patient-derived <em>in vitro</em> seizure models and computational drug screening. Additionally, this study highlights the potential of targeted therapeutic development for patients unresponsive to conventional therapies, showcasing a promising approach for personalized medical interventions in epilepsy.</div></div>","PeriodicalId":10578,"journal":{"name":"Computers in biology and medicine","volume":"191 ","pages":""},"PeriodicalIF":7.0000,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Precision medicine approach for in vitro modeling and computational screening of anti-epileptic drugs in pediatric epilepsy patients with SCN2A (R1629L) mutation\",\"authors\":\"Jihun Kim , Bilal Shaker , Ara Ko , Sunggon Yoo , Dokyun Na , Hoon-Chul Kang\",\"doi\":\"10.1016/j.compbiomed.2025.110100\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This study aimed to develop personalized anti-epileptic drugs for pediatric patients with an <em>SCN2A</em> (R1629L) mutation, which is unresponsive to conventional sodium channel blockers. The mutation was identified using genomic DNA sequencing, and patient-derived induced pluripotent stem cells (iPSCs) were differentiated into the neuronal network to mimic seizure activity. A total of 1.6 million compounds were screened using computational methods, identifying five candidates with high affinity to the mutant <em>SCN2A</em> protein, low potential toxicity, and high blood–brain barrier permeability. These compounds were pharmacologically evaluated using the patient-derived <em>in vitro</em> seizure model, which replicated the abnormal electrophysiological characteristics of epilepsy. Two of the five candidate compounds effectively modulated electrophysiological activities; moreover, these compounds were 100 times more potent than phenytoin. Therefore, this study demonstrates the feasibility of precision medicine in epilepsy treatment, emphasizing the benefits of patient-derived <em>in vitro</em> seizure models and computational drug screening. Additionally, this study highlights the potential of targeted therapeutic development for patients unresponsive to conventional therapies, showcasing a promising approach for personalized medical interventions in epilepsy.</div></div>\",\"PeriodicalId\":10578,\"journal\":{\"name\":\"Computers in biology and medicine\",\"volume\":\"191 \",\"pages\":\"\"},\"PeriodicalIF\":7.0000,\"publicationDate\":\"2025-04-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computers in biology and medicine\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0010482525004512\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers in biology and medicine","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0010482525004512","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOLOGY","Score":null,"Total":0}
Precision medicine approach for in vitro modeling and computational screening of anti-epileptic drugs in pediatric epilepsy patients with SCN2A (R1629L) mutation
This study aimed to develop personalized anti-epileptic drugs for pediatric patients with an SCN2A (R1629L) mutation, which is unresponsive to conventional sodium channel blockers. The mutation was identified using genomic DNA sequencing, and patient-derived induced pluripotent stem cells (iPSCs) were differentiated into the neuronal network to mimic seizure activity. A total of 1.6 million compounds were screened using computational methods, identifying five candidates with high affinity to the mutant SCN2A protein, low potential toxicity, and high blood–brain barrier permeability. These compounds were pharmacologically evaluated using the patient-derived in vitro seizure model, which replicated the abnormal electrophysiological characteristics of epilepsy. Two of the five candidate compounds effectively modulated electrophysiological activities; moreover, these compounds were 100 times more potent than phenytoin. Therefore, this study demonstrates the feasibility of precision medicine in epilepsy treatment, emphasizing the benefits of patient-derived in vitro seizure models and computational drug screening. Additionally, this study highlights the potential of targeted therapeutic development for patients unresponsive to conventional therapies, showcasing a promising approach for personalized medical interventions in epilepsy.
期刊介绍:
Computers in Biology and Medicine is an international forum for sharing groundbreaking advancements in the use of computers in bioscience and medicine. This journal serves as a medium for communicating essential research, instruction, ideas, and information regarding the rapidly evolving field of computer applications in these domains. By encouraging the exchange of knowledge, we aim to facilitate progress and innovation in the utilization of computers in biology and medicine.