NevSom, Department of Rare Disorders, Oslo University Hospital, Oslo, Norway.
Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
Mol Autism. 2018 Jan 8;9:2. doi: 10.1186/s13229-017-0185-1. eCollection 2018.
Autism spectrum disorder and epilepsy often co-occur; however, the extent to which the association between autism symptoms and epilepsy is due to shared aetiology or to the direct effects of seizures is a topic of ongoing debate. Angelman syndrome (AS) is presented as a suitable disease model to explore this association.
Data from medical records and questionnaires were used to examine the association between age of epilepsy onset, autism symptoms, genetic aberration and communication level. Forty-eight participants had genetically verified AS (median age 14.5 years; range 1-57 years). A measure of autism symptoms (the Social Communication Questionnaire; SCQ) was completed for 38 individuals aged ≥ 4 years. Genetic cause was subgrouped into deletion and other genetic aberrations of the 15q11-q13 area. The number of signs used to communicate (< 20 sign and ≥ 20 signs) was used as a measure of nonverbal communication.
Mean age of epilepsy onset was 3.0 years (range 3 months-7.8 years). Mean SCQ score for individuals without epilepsy was 13.6 (SD = 6.7) and with epilepsy 17.0 (SD = 5.6; = 0.17); 58% used fewer than 20 signs to communicate. There were no age differences between groups according to presence of epilepsy, level of nonverbal communication or type of genetic aberration. SCQ scores were higher in individuals with the deletion than in those with other genetic aberrations (18.7 vs 10.8 = 0.008) and higher in the group who used < 20 signs to communicate (19.4 vs 14.1 = 0.007). Age of epilepsy onset was correlated with SCQ ( = - 0.61, < 0.001). Multiple regression showed that age of seizure onset was significantly related to SCQ score ( = - 0.90; = 0.006), even when the type of genetic abnormality was controlled ( = 0.53; = 10.7; = 0.001).
The study provides support for the notion that seizures themselves contribute more to autism symptoms than expected from the underlying genetic pathology alone. The study demonstrates how a rare genetic syndrome such as Angelman syndrome may be used to study the relation between epilepsy and autism symptomatology.
自闭症谱系障碍和癫痫常同时发生;然而,自闭症症状与癫痫之间的关联是由于共同的病因还是由于癫痫发作的直接影响,这仍是一个持续争论的话题。天使综合征(AS)被提出作为探索这种关联的合适疾病模型。
使用病历和问卷调查数据来研究癫痫发病年龄、自闭症症状、遗传异常和沟通水平之间的关联。48 名参与者具有经基因验证的 AS(中位年龄 14.5 岁;范围 1-57 岁)。对 38 名年龄≥4 岁的个体完成了自闭症症状的测量(社会沟通问卷;SCQ)。遗传病因分为 15q11-q13 区域的缺失和其他遗传异常亚组。用于沟通的符号数量(<20 个符号和≥20 个符号)作为非言语沟通的测量。
癫痫发病的平均年龄为 3.0 岁(范围 3 个月-7.8 岁)。无癫痫个体的 SCQ 平均得分为 13.6(SD=6.7),有癫痫个体为 17.0(SD=5.6; = 0.17);58%的人使用的符号少于 20 个。根据是否存在癫痫、非言语沟通水平或遗传异常类型,两组之间无年龄差异。缺失组的 SCQ 评分高于其他遗传异常组(18.7 比 10.8, = 0.008),使用<20 个符号进行沟通的组评分更高(19.4 比 14.1, = 0.007)。癫痫发病年龄与 SCQ 呈负相关( = - 0.61, < 0.001)。多元回归显示,癫痫发作年龄与 SCQ 评分显著相关( = - 0.90; = 0.006),即使控制了遗传异常类型( = 0.53; = 10.7; = 0.001)。
本研究支持这样一种观点,即癫痫发作本身对自闭症症状的影响比仅基于潜在遗传病理学的预期更大。该研究展示了如何使用罕见的遗传综合征(如天使综合征)来研究癫痫与自闭症症状之间的关系。