Department of Neurology, The First Affiliated Hospital of Zhengzhou University, No. 1 Eastern Jianshe Road, Zhengzhou, 450052, Henan, China.
NHC Key Laboratory of Prevention and Treatment of Cerebrovascular Disease, Zhengzhou, Henan, China.
Neurol Sci. 2023 Oct;44(10):3545-3556. doi: 10.1007/s10072-023-06845-2. Epub 2023 May 15.
The discovery of skin intranuclear inclusions and GGC repeat expansion of NOTCH2NLC has greatly promoted the diagnosis of neuronal intranuclear inclusion disease (NIID). With highly heterogeneous clinical manifestations, NIID patients tend to be underdiagnosed at early stages.
This study comprehensively studied clinical manifestations, magnetic resonance imaging (MRI), and peripheral nerve conduction in 24 NIID and 166 other neurodegenerative disease (ND) subjects. The nomogram was plotted using the "rms" package, and the t-distributed stochastic neighbor embedding algorithm was performed. Associations between skin intranuclear inclusions and NOTCH2NLC GGC repeats were further analyzed.
The clinical, MRI, and peripheral nerve conduction features seriously overlapped in NIID and ND patients; they were assigned variables according to their frequency and specificity in NIID patients. A nomogram that could distinguish NIID from ND was constructed according to the assigned variables and cutoff values of the above features. The occurrence of skin intranuclear inclusions and NOTCH2NLC GGC repeats ≥ 60 showed 100% consistency, and intranuclear inclusion frequency positively correlated with NOTCH2NLC GGC repeats. A hierarchical diagnostic flowchart for definite NIID was further established.
We provide a novel nomogram with the potential to realize early identification and update the diagnostic flowchart for definitive diagnosis. Moreover, this is the first study to define the association between skin pathology and NOTCH2NLC genetics in NIID.
核内包涵体的发现和 NOTCH2NLC 的 GGC 重复扩增极大地促进了神经元核内包涵体病(NIID)的诊断。由于临床表现高度异质,NIID 患者在早期往往被误诊。
本研究综合研究了 24 例 NIID 和 166 例其他神经退行性疾病(ND)患者的临床表现、磁共振成像(MRI)和周围神经传导。使用“rms”包绘制列线图,并进行 t 分布随机邻域嵌入算法。进一步分析皮肤核内包涵体与 NOTCH2NLC GGC 重复的相关性。
NIID 和 ND 患者的临床、MRI 和周围神经传导特征严重重叠;根据它们在 NIID 患者中的频率和特异性分配变量。根据上述特征的分配变量和截断值,构建了一种能够区分 NIID 和 ND 的列线图。皮肤核内包涵体和 NOTCH2NLC GGC 重复≥60 的发生具有 100%的一致性,核内包涵体频率与 NOTCH2NLC GGC 重复呈正相关。进一步建立了明确 NIID 的分层诊断流程图。
我们提供了一种具有早期识别潜力的新型列线图,并更新了明确诊断的诊断流程图。此外,这是首次研究定义了 NIID 皮肤病理学与 NOTCH2NLC 遗传学之间的相关性。