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FOXG1和MECP2障碍的表型分化:一种发育性脑病特征化的新方法。

Phenotype Differentiation of FOXG1 and MECP2 Disorders: A New Method for Characterization of Developmental Encephalopathies.

作者信息

Ma Mandy, Adams Heather R, Seltzer Laurie E, Dobyns William B, Paciorkowski Alex R

机构信息

University of Buffalo School of Medicine, Buffalo, NY.

Department of Neurology, University of Rochester Medical Center, Rochester, NY.

出版信息

J Pediatr. 2016 Nov;178:233-240.e10. doi: 10.1016/j.jpeds.2016.08.032. Epub 2016 Sep 15.

Abstract

OBJECTIVE

To differentiate developmental encephalopathies by creating a novel quantitative phenotyping tool.

STUDY DESIGN

We created the Developmental Encephalopathy Inventory (DEI) to differentiate disorders with complex multisystem neurodevelopmental symptoms. We then used the DEI to study the phenotype features of 20 subjects with FOXG1 disorder and 11 subjects with MECP2 disorder.

RESULTS

The DEI identified core domains of fine motor and expressive language that were severely impaired in both disorders. Individuals with FOXG1 disorder were overall more severely impaired. Subjects with FOXG1 disorder were less able to walk, had worse fine motor skills, more disability in receptive language and reciprocity, and had more disordered sleep than did subjects with MECP2 disorder (P <.05). Covariance, cluster, and principal component analysis confirmed a relationship between impaired awareness, reciprocity, and language in both disorders. In addition, abnormal ambulation was a first principal component for FOXG1 but not for MECP2 disorder, suggesting that impaired ambulation is a strong differentiating factor clinically between the 2 disorders.

CONCLUSIONS

We have developed a novel quantitative developmental assessment tool for developmental encephalopathies and propose this tool as a method to identify and illustrate core common and differential domains of disability in these complex disorders. These findings demonstrate clear phenotype differences between FOXG1 and MECP2 disorders.

摘要

目的

通过创建一种新型定量表型分析工具来鉴别发育性脑病。

研究设计

我们创建了发育性脑病量表(DEI)以鉴别具有复杂多系统神经发育症状的疾病。然后我们使用DEI研究20例FOXG1障碍患者和11例MECP2障碍患者的表型特征。

结果

DEI确定了精细运动和表达性语言的核心领域,这两个领域在两种疾病中均严重受损。FOXG1障碍患者总体受损更严重。与MECP2障碍患者相比,FOXG1障碍患者行走能力更差,精细运动技能更差,接受性语言和互动方面的残疾更严重,睡眠障碍更多(P<0.05)。协方差、聚类和主成分分析证实了两种疾病中意识、互动和语言受损之间的关系。此外,异常行走是FOXG1障碍的第一主成分,但不是MECP2障碍的第一主成分,这表明行走障碍是这两种疾病临床上的一个重要鉴别因素。

结论

我们为发育性脑病开发了一种新型定量发育评估工具,并提出将该工具作为一种方法来识别和阐明这些复杂疾病中残疾的核心共同和差异领域。这些发现表明FOXG1和MECP2障碍之间存在明显的表型差异。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8cfa/5873956/6c2efbd71ec2/nihms817215f1.jpg

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