Abstract

Neonatal intensive care unit (NICU), particularly in treating developmental and epileptic encephalopathy (DEE) and metabolic epilepsy (ME), requires a deep understanding of their complex etiologies and treatment responses. After excluding treatable cases such as infectious or autoimmune encephalitis, our focus shifted to a more challenging subgroup of 59 patients for in-depth genetic analysis using exome sequencing (ES). The ES analysis identified 40 genetic abnormalities, significantly including de novo variants. Notably, we found structural variation as duplications in regions 2q24.3, including SCN1A and SCN2A were observed in 7 cases. These genetic variants, impacting ion channels, glucose transport, transcription regulation, and kinases, play a crucial role in determining medication efficacy. More than one-third (34.2%) of patients with DEE had an unfavorable response to anti-seizure medications (ASMs) in the chronic phase. However, since the ketogenic supplementary diet showed a positive effect, more than three-quarters (80%) of these drug-resistant patients improved during a 3-month follow-up. In contrast, the ME had a lower adverse reaction rate of 9.1% (2/22) to specialized medications, yet there were 5 fatalities and 10 cases with unidentified genetic etiologies. This study suggests the potential of categorizing drug-resistant variants and that a ketogenic diet could be beneficial in managing DEE and ME. It also opens new perspectives on the mechanisms of the ketogenic diet on the discovered genetic variants.

Details

Title
Genotype-driven therapeutics in DEE and metabolic epilepsy: navigating treatment efficacy and drug resistance
Author
Nguyen, Yen Thi My 1 ; Vu, Bao-Quoc 2 ; Nguyen, Duy-Khai 3 ; Quach, Ngoc-Vinh 3 ; Bui, Liem Thanh 4 ; Hong, Jeonghan 5 ; Bui, Chi-Bao 6 

 International University, Vietnam National University Ho Chi Minh City, Department of Biotechnology, Ho Chi Minh City, Vietnam (GRID:grid.444808.4) (ISNI:0000 0001 2037 434X); DNA Medical Technology, Unit of AI Genomics, Ho Chi Minh City, Vietnam (GRID:grid.444808.4) 
 Can Tho University, Institute of Food and Biotechnology, Can Tho City, Vietnam (GRID:grid.25488.33) (ISNI:0000 0004 0643 0300); University of Information Technology, Vietnam National University Ho Chi Minh City, Faculty of Computer Science, Ho Chi Minh City, Vietnam (GRID:grid.444808.4) (ISNI:0000 0001 2037 434X) 
 City Children’s Hospital, Department of Neurology, Ho Chi Minh City, Vietnam (GRID:grid.444808.4) 
 Can Tho University, Institute of Food and Biotechnology, Can Tho City, Vietnam (GRID:grid.25488.33) (ISNI:0000 0004 0643 0300) 
 Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, Samsung Medical Center, Department of Medical Device Management and Research, Seoul, South Korea (GRID:grid.264381.a) (ISNI:0000 0001 2181 989X); HnB Genomics, Ulsan, South Korea (GRID:grid.264381.a) 
 Vietnam National University Ho Chi Minh City, University of Health Sciences, Ho Chi Minh, Vietnam (GRID:grid.444808.4) (ISNI:0000 0001 2037 434X); City Children’s Hospital, Unit of Molecular Biology, Ho Chi Minh City, Vietnam (GRID:grid.444808.4) 
Pages
21606
Publication year
2024
Publication date
2024
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
3105558269
Copyright
© The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.