Di Donato Nataliya, Chiari Sara, Mirzaa Ghayda M, Aldinger Kimberly, Parrini Elena, Olds Carissa, Barkovich A James, Guerrini Renzo, Dobyns William B
Institute for Clinical Genetics, Tu Dresden, Dresden, Germany.
Center for Integrative Brain Research, Seattle Children's Research Institute, Seattle, Washington.
Am J Med Genet A. 2017 Jun;173(6):1473-1488. doi: 10.1002/ajmg.a.38245. Epub 2017 Apr 25.
Lissencephaly ("smooth brain," LIS) is a malformation of cortical development associated with deficient neuronal migration and abnormal formation of cerebral convolutions or gyri. The LIS spectrum includes agyria, pachygyria, and subcortical band heterotopia. Our first classification of LIS and subcortical band heterotopia (SBH) was developed to distinguish between the first two genetic causes of LIS-LIS1 (PAFAH1B1) and DCX. However, progress in molecular genetics has led to identification of 19 LIS-associated genes, leaving the existing classification system insufficient to distinguish the increasingly diverse patterns of LIS. To address this challenge, we reviewed clinical, imaging and molecular data on 188 patients with LIS-SBH ascertained during the last 5 years, and reviewed selected archival data on another ∼1,400 patients. Using these data plus published reports, we constructed a new imaging based classification system with 21 recognizable patterns that reliably predict the most likely causative genes. These patterns do not correlate consistently with the clinical outcome, leading us to also develop a new scale useful for predicting clinical severity and outcome. Taken together, our work provides new tools that should prove useful for clinical management and genetic counselling of patients with LIS-SBH (imaging and severity based classifications), and guidance for prioritizing and interpreting genetic testing results (imaging based- classification).
无脑回畸形(“光滑脑”,LIS)是一种皮质发育畸形,与神经元迁移不足以及脑回或脑沟的异常形成有关。无脑回畸形谱系包括无脑回、巨脑回和皮质下带状异位。我们最初对无脑回畸形和皮质下带状异位(SBH)的分类是为了区分无脑回畸形的前两个遗传病因——LIS1(PAFAH1B1)和DCX。然而,分子遗传学的进展已导致19个与无脑回畸形相关的基因被鉴定出来,使得现有的分类系统不足以区分日益多样的无脑回畸形模式。为应对这一挑战,我们回顾了过去5年确诊的188例无脑回畸形-皮质下带状异位患者的临床、影像学和分子数据,并回顾了另外约1400例患者的部分存档数据。利用这些数据以及已发表的报告,我们构建了一个基于影像学的新分类系统,该系统有21种可识别的模式,能可靠地预测最可能的致病基因。这些模式与临床结果并非始终相关,这促使我们还开发了一种新的量表,用于预测临床严重程度和结果。综上所述,我们的工作提供了新的工具,这些工具对于无脑回畸形-皮质下带状异位患者的临床管理和遗传咨询(基于影像学和严重程度的分类)应是有用的,并且为确定基因检测结果的优先级和解读提供了指导(基于影像学的分类)。