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Precision medicine approach for in vitro modeling and computational screening of anti-epileptic drugs in pediatric epilepsy patients with SCN2A (R1629L) mutation

Authors
 Kim, Jihun  ;  Shaker, Bilal  ;  Ko, Ara  ;  Yoo, Sunggon  ;  Na, Dokyun  ;  Kang, Hoon Chul 
Citation
 Computers in Biology and Medicine, Vol.191, 2025-06 
Article Number
 110100 
Journal Title
COMPUTERS IN BIOLOGY AND MEDICINE
ISSN
 0010-4825 
Issue Date
2025-06
MeSH
Anticonvulsants* / chemistry ; Anticonvulsants* / pharmacology ; Anticonvulsants* / therapeutic use ; Child ; Drug Evaluation, Preclinical ; Epilepsy* / drug therapy ; Epilepsy* / genetics ; Epilepsy* / metabolism ; Female ; Humans ; Induced Pluripotent Stem Cells / metabolism ; Male ; Mutation* ; NAV1.2 Voltage-Gated Sodium Channel* / genetics ; NAV1.2 Voltage-Gated Sodium Channel* / metabolism ; Precision Medicine* / methods
Keywords
Drug discovery ; Epilepsy ; Induced pluripotent stem cells ; Precision medicine ; SCN2A mutation
Abstract
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. © 2025 Elsevier Ltd
Full Text
https://www.sciencedirect.com/science/article/pii/S0010482525004512
DOI
10.1016/j.compbiomed.2025.110100
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Pediatrics (소아과학교실) > 1. Journal Papers
Yonsei Authors
Kang, Hoon Chul(강훈철) ORCID logo https://orcid.org/0000-0002-3659-8847
Ko, A Ra(고아라)
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/209360
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