The aims of study on KCNQ2-related epilepsy: (1) establish phenotype database and sample database of KCNQ2-related epilepsy; (2) to establish genotype-phenotype association of KCNQ2-related epilepsy; (3) to study the brain network of KCNQ2-related epilepsy based on multi-modal brain image and EEG data; (4) to find prognostic biomarkers of KCNQ2-related epilepsy based on omics study.
1. Participant recruitment: participants are recruited from Chinese KCNQ2-related epilepsy patients group (http://www.kcnq2.cn/). According to the clinical phenotype, the participants will be divided into benign familial neonatal seizures (BFNS) group and Developmental and epileptic encephalopathy (DEE) group. 2. Genotype-phenotype association: electrophysiological detection of KCNQ2 mutation will be performed using patch clamp technique in an in vitro cell model. The association between phenotype (such as epileptic phenotype, developmental assessment and drug response) and genotype will be analyzed. 3. Brain network analysis: participants who provide informed consent will be scaned by brain magnetic resonance imaging (MRI) or positron emission tomography-computed tomography (PET-CT) and monitored by the electroencephalogram (EEG). The Brain Network of KCNQ2-related epilepsy will be analyzed based on multi-modal brain image and EEG between BFNS and DEE group. 4. Omics Study: after informed consent, blood, urine and feces samples of participants will be taken. The samples were tested for omics study including proteomics, metabolomics, transcriptomics, to analysis the difference of BFNS and DEE group.
Study Type
OBSERVATIONAL
Enrollment
200
Electrophysiological detection of KCNQ2 mutation performed using patch clamp technique in an in vitro cell model. Analyze the association between phenotype and genotype.
Multi-modal brain image include brain magnetic resonance imaging (MRI) or positron emission tomography-computed tomography (PET-CT). The electroencephalogram (EEG) incuding video electroencephalogram (VEEG) and sleep electroencephalogram (SEEG).
Omics testing include proteomics, metabolomics, transcriptomics.
Children's Hospital of Fudan University
Shanghai, Shanghai Municipality, China
RECRUITINGEstablish the phenotype database and genotype-phenotype association of KCNQ2-related Epilepsy
Analysis of Clinical information of KCNQ2-related Epilepsy such as phenotype, genotype, brain image ,EEG, living quality and comorbidity.
Time frame: 0-18 years old
Study on the brain network of KCNQ2-related epilepsy
Analysis of brain network of KCNQ2-related epilepsy based on multi-modal brain image and EEG
Time frame: 0-18 years old
Study on the omics testing of KCNQ2-related epilepsy
Analysis of prognostic biomarker of KCNQ2-related epilepsy based on proteomics, metabolomics, transcriptomics.
Time frame: 0-18 years old
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