Evidence map›Paper›PMID 42045956›Full record

ArticleItalian journal of pediatrics2026

Clinical characteristics and genetic analysis of patients with SCN1A gene pathological variant-related disorders: a single-center retrospective study.

Mingying He, Xiaohui Min, Juxia Shu, Bing Wu, Hongdan Qi, Xin Wang, Gang Zhang

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Article in Italian journal of pediatrics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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7 authors.

Mingying He *Children's Hospital of Nanjing Medical University, Nanjing, China.
Xiaohui Min *Children's Hospital of Nanjing Medical University, Nanjing, China.
Juxia Shu *Pediatrics Department, Bengbu First People's Hospital, Bengbu, Anhui, China.
Bing WuChildren's Hospital of Nanjing Medical University, Nanjing, China.
Hongdan QiChildren's Hospital of Nanjing Medical University, Nanjing, China.
Xin WangChildren's Hospital of Nanjing Medical University, Nanjing, China.
Gang ZhangChildren's Hospital of Nanjing Medical University, Nanjing, China. zhanggangnjmu@126.com.ORCID http://orcid.org/0009-0000-9007-1993

Funding

Natural Science Foundation of Jiangsu Province BK20241732
6 · The paper itself

Abstract

backgroundSCN1A Gene pathological variants can lead to a spectrum of epilepsy phenotypes ranging from mild genetic epilepsy with febrile seizures plus (GEFS+) to severe Dravet syndrome (DS). As most pathological variants are de novo variants, early prediction of phenotypes and prognosis is challenging, and the genotype-phenotype correlation remains unclear.

methodWe retrospectively analyzed the clinical and genetic data of 50 children with SCN1A variant-related epilepsy to explore the relationship between variant characteristics (location, in silico prediction scores), seizure characteristics, and phenotypes.

resultsThis study included 50 children with SCN1A variant-related epilepsy, among whom 86.0% (43/50) had onset before the age of 1, 86.0% (43/50) exhibited fever sensitivity, and 68.0% (34/50) were accompanied by developmental delay; 36.0% (18/50) experienced status epilepticus(SE), 56.0% (28/50) had cluster seizures, and 48.0% (24/50) showed abnormal electroencephalogram(EEG) within one year of onset. Genetic analysis revealed that missense mutations accounted for 62.0% (31/50), with 78.0% (39/50) being de novo variants, and 24 previously unreported pathogenic variants were identified. The DS group (16 cases) had a significantly higher incidence of SE compared to the non-DS group (P = 0.041), while the non-DS group had a higher proportion of missense mutations (P = 0.014). Variant region analysis indicated that N-terminal variants were strongly associated with SE, and variants in the S2-S3/S3-S4 regions were prone to causing EEG abnormalities. In terms of treatment, the ketogenic diet was effective in 80.0% (4/5) of the children, while sodium channel blockers exacerbated seizures in 66.6% (4/6) of the children.

conclusionThe genotype-phenotype correlation in SCN1A-related epilepsy is crucial for early diagnosis and management: missense mutations are more prevalent in non-DS phenotypes, while DS phenotypes carry a higher risk of SE. Previously unreported variant sites expand the genetic spectrum. Ketogenic diet (KD) may be an effective treatment option, and the use of Sodium channel blocker(SCB) requires caution.

Indexed as

Epilepsies, MyoclonicNAV1.1 Voltage-Gated Sodium ChannelChildChild, PreschoolElectroencephalographyFemaleGenetic Association StudiesHumansInfantMaleMutation, MissensePhenotypeRetrospective StudiesSeizures, FebrileNAV1.1 Voltage-Gated Sodium ChannelSCN1A protein, humanDravet syndromeGenotype-phenotypeKetogenic dietSCN1ASodium channel blockers

Identifiers

PMID42045956
PMCPMC13255321

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