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Liu M, Gao Y, Yuan Y, Liu X, Wang Y, Li L, Zhang X, Jiang C, Wang Q, Wang Y, Shi C, Xu Y, Yang J. A comprehensive study of clinicopathological and genetic features of neuronal intranuclear inclusion disease. Neurol Sci 2023; 44:3545-3556. [PMID: 37184590 DOI: 10.1007/s10072-023-06845-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Accepted: 05/07/2023] [Indexed: 05/16/2023]
Abstract
BACKGROUND 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. METHODS 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. RESULTS 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. CONCLUSION 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.
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Affiliation(s)
- Minglei Liu
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, No. 1 Eastern Jianshe Road, Zhengzhou, 450052, Henan, China
| | - Yuan Gao
- 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
- Henan Key Laboratory of Cerebrovascular Diseases, Zhengzhou University, Zhengzhou, Henan, China
- Institute of Neuroscience, Zhengzhou University, Zhengzhou, Henan, China
| | - Yanpeng Yuan
- 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
- Henan Key Laboratory of Cerebrovascular Diseases, Zhengzhou University, Zhengzhou, Henan, China
- Institute of Neuroscience, Zhengzhou University, Zhengzhou, Henan, China
| | - Xiaojing Liu
- 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
- Institute of Neuroscience, Zhengzhou University, Zhengzhou, Henan, China
| | - Yangyang Wang
- 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
- Institute of Neuroscience, Zhengzhou University, Zhengzhou, Henan, China
| | - Lanjun Li
- 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
- Institute of Neuroscience, Zhengzhou University, Zhengzhou, Henan, China
| | - Xiaoyun Zhang
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, No. 1 Eastern Jianshe Road, Zhengzhou, 450052, Henan, China
| | - Chenyang Jiang
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, No. 1 Eastern Jianshe Road, Zhengzhou, 450052, Henan, China
- Henan Key Laboratory of Cerebrovascular Diseases, Zhengzhou University, Zhengzhou, Henan, China
| | - Qingzhi Wang
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, No. 1 Eastern Jianshe Road, Zhengzhou, 450052, Henan, China
| | - Yanlin Wang
- 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
- Henan Key Laboratory of Cerebrovascular Diseases, Zhengzhou University, Zhengzhou, Henan, China
- Institute of Neuroscience, Zhengzhou University, Zhengzhou, Henan, China
| | - Changhe Shi
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, No. 1 Eastern Jianshe Road, Zhengzhou, 450052, Henan, China.
- Institute of Neuroscience, Zhengzhou University, Zhengzhou, Henan, China.
| | - Yuming Xu
- 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.
- Henan Key Laboratory of Cerebrovascular Diseases, Zhengzhou University, Zhengzhou, Henan, China.
- Institute of Neuroscience, Zhengzhou University, Zhengzhou, Henan, China.
| | - Jing Yang
- 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.
- Henan Key Laboratory of Cerebrovascular Diseases, Zhengzhou University, Zhengzhou, Henan, China.
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Zhang Z, Xu Q, Li J, Zhang C, Bai Z, Chai X, Xu K, Xiao C, Chen F, Liu T, Gu H, Xing W, Lu G, Zhang Z. MRI features of neuronal intranuclear inclusion disease, combining visual and quantitative imaging investigations. J Neuroradiol 2023:S0150-9861(23)00245-6. [PMID: 37758172 DOI: 10.1016/j.neurad.2023.09.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Revised: 09/08/2023] [Accepted: 09/24/2023] [Indexed: 10/03/2023]
Abstract
OBJECTIVE To observe the radiological characteristics of Neuronal Intranuclear Inclusion Disease (NIID) on lesion locations and diffusion property using quantitative imaging analysis. METHODS Visual inspection and quantitative analyses were performed on MRI data from 31 retrospectively included patients with NIID. Frequency heatmaps of lesion locations on T2WI and DWI were generated using voxel-wise analysis. Gray matter volume (GMV), white matter volume (WMV) and diffusion property of apparent diffusion coefficient (ADC) values of patients were voxel-wisely compared with healthy controls. Moreover, the ADC values within the DWI-detected lesion were compared with those within the adjacent cortical gray matter and white matter. Voxel-based lesion symptom mapping (VLSM) techniques, were used to determine the relationship between DWI lesion location and disease durations. RESULTS By visual inspection on the imaging findings, we proposed an "cockscomb flower sign" for describing the radiological feature of DWI hyperintensity within the corticomedullary junction. A "T2WI-DWI mismatch of spatial distribution" pattern was also revealed with visual inspection and frequency heatmaps, for describing the feature of a wider lesion distribution covering white matter shown on T2WI than that on DWI. Voxel-based morphometry comparison revealed that wildly reduced GMV and WMV, both the lesion areas detected by DWI and T2WI demonstrated ADC increase in patients. Furthermore, the ADC values within the DWI-detected lesion were intermediate between the adjacent cortex and the deep white matter with highest ADC. VLSM analysis revealed that frontal lobe, parietal lobe and internal capsule damage were associated with higher NIID durations. CONCLUSION NIID features with "cockscomb flower-like" DWI hyperintensity in area of corticomedullary junction, based on a "T2WI-DWI mismatch of spatial distribution" of lesion locations. The pathological substrate of corticomedullary junction hyperintensity on DWI, can not be explained as diffusion restriction. These typical radiological features of brain MRI would be helpful for diagnosis of NIID.
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Affiliation(s)
- Zixuan Zhang
- Department of Diagnostic Radiology, Jinling Hospital, Nanjing University School of Medicine, Nanjing 210002, China; School of Medical Imaging, Xuzhou Medical University, Xuzhou 221004, China
| | - Qiang Xu
- Department of Diagnostic Radiology, Jinling Hospital, Nanjing University School of Medicine, Nanjing 210002, China
| | - Jianrui Li
- Department of Diagnostic Radiology, Jinling Hospital, Nanjing University School of Medicine, Nanjing 210002, China
| | - Chao Zhang
- School of Medical Imaging, Xuzhou Medical University, Xuzhou 221004, China; Department of Medical Imaging, Affiliated Hospital of Xuzhou Medical University, Xuzhou 221004, China
| | - Zhuojie Bai
- Department of Medical Imaging, Nanjing Jiangbei Hospital, Nanjing 210000, China
| | - Xue Chai
- Department of Medical Imaging, Nanjing Brain Hospital, Nanjing 210029, China
| | - Kai Xu
- School of Medical Imaging, Xuzhou Medical University, Xuzhou 221004, China; Department of Medical Imaging, Affiliated Hospital of Xuzhou Medical University, Xuzhou 221004, China
| | - Chaoyong Xiao
- Department of Medical Imaging, Nanjing Brain Hospital, Nanjing 210029, China
| | - Feng Chen
- Department of Medical Imaging, Hainan General Hospital, Hainan 570311, China
| | - Tao Liu
- Department of Neurology, Hainan General Hospital, Haikou 570311, China
| | - Hongmei Gu
- Department of Medical Imaging, Affiliated Hospital of Nantong University, Nantong 226001, China
| | - Wei Xing
- Department of Medical Imaging, The first people's hospital of Changzhou. Changzhou 213200, China
| | - Guangming Lu
- Department of Diagnostic Radiology, Jinling Hospital, Nanjing University School of Medicine, Nanjing 210002, China; School of Medical Imaging, Xuzhou Medical University, Xuzhou 221004, China
| | - Zhiqiang Zhang
- Department of Diagnostic Radiology, Jinling Hospital, Nanjing University School of Medicine, Nanjing 210002, China; School of Medical Imaging, Xuzhou Medical University, Xuzhou 221004, China.
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Mao C, Zhou L, Li J, Pang J, Chu S, Jin W, Huang X, Wang J, Liu C, Liu Q, Hao H, Zhou Y, Hou B, Feng F, Shen L, Tang B, Peng B, Cui L, Gao J. Clinical-neuroimaging-pathological relationship analysis of adult onset Neuronal Intranuclear Inclusion Disease (NIID). BMC Neurol 2022; 22:486. [PMID: 36522621 PMCID: PMC9753287 DOI: 10.1186/s12883-022-03025-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2022] [Accepted: 12/09/2022] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND Neuronal Intranuclear Inclusion Disease (NIID) is a degenerative disease with heterogeneous clinical manifestations. We aim to analysis the relationship between clinical manifestations, neuroimaging and skin pathology in a Chinese NIID cohort. METHODS Patients were recruited from a Chinese cohort. Detail clinical information were collected. Visual rating scale was used for evaluation of neuroimaging. The relationship between clinical presentations and neuroimaging, as well as skin pathology was statistically analyzed. RESULTS Thirty-two patients were recruited. The average onset age was 54.3 y/o. 28.1% had positive family history. Dementia, autonomic nervous system dysfunction, episodic attacks were three main presentations. CSF analysis including Aβ42 and tau level was almost normal. The most frequently involved on MRI was periventricular white matter (100%), frontal subcortical and deep white matter (96.6%), corpus callosum (93.1%) and external capsule (72.4%). Corticomedullary junction DWI high intensity was found in 87.1% patients. Frontal and external capsule DWI high intensity connected to form a "kite-like" specific image. Severity of dementia was significantly related to leukoencephalopathy (r = 0.465, p = 0.0254), but not cortical atrophy and ventricular enlargement. Grey matter lesions were significantly associated with encephalopathy like attacks (p = 0.00077) but not stroke like attacks. The density of intranuclear inclusions in skin biopsy was not associated with disease duration, severity of leukoencephalopathy and dementia. CONCLUSIONS Specific distribution of leukoencephalopathy and DWI high intensity were indicative. Leukoencephalopathy and subcortical mechanism were critical in pathogenesis of NIID. Irrelevant of inclusion density and clinical map suggested the direct pathogenic factor need further investigation.
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Affiliation(s)
- Chenhui Mao
- grid.413106.10000 0000 9889 6335Department of Neurology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science/Peking Union Medical College, Shuaifuyuan 1St, Dongcheng District, Beijing, 100730 China
| | - Liangrui Zhou
- grid.413106.10000 0000 9889 6335Department of Pathology, Peking Union Medical College Hospital, Chinese Academy of Medical Science/Peking Union Medical College, Beijing, 100730 China
| | - Jie Li
- grid.413106.10000 0000 9889 6335Department of Neurology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science/Peking Union Medical College, Shuaifuyuan 1St, Dongcheng District, Beijing, 100730 China
| | - Junyi Pang
- grid.413106.10000 0000 9889 6335Department of Pathology, Peking Union Medical College Hospital, Chinese Academy of Medical Science/Peking Union Medical College, Beijing, 100730 China
| | - Shanshan Chu
- grid.413106.10000 0000 9889 6335Department of Neurology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science/Peking Union Medical College, Shuaifuyuan 1St, Dongcheng District, Beijing, 100730 China
| | - Wei Jin
- grid.413106.10000 0000 9889 6335Department of Neurology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science/Peking Union Medical College, Shuaifuyuan 1St, Dongcheng District, Beijing, 100730 China
| | - Xinying Huang
- grid.413106.10000 0000 9889 6335Department of Neurology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science/Peking Union Medical College, Shuaifuyuan 1St, Dongcheng District, Beijing, 100730 China
| | - Jie Wang
- grid.413106.10000 0000 9889 6335Department of Neurology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science/Peking Union Medical College, Shuaifuyuan 1St, Dongcheng District, Beijing, 100730 China
| | - Caiyan Liu
- grid.413106.10000 0000 9889 6335Department of Neurology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science/Peking Union Medical College, Shuaifuyuan 1St, Dongcheng District, Beijing, 100730 China
| | - Qing Liu
- grid.413106.10000 0000 9889 6335Department of Neurology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science/Peking Union Medical College, Shuaifuyuan 1St, Dongcheng District, Beijing, 100730 China
| | - Honglin Hao
- grid.413106.10000 0000 9889 6335Department of Neurology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science/Peking Union Medical College, Shuaifuyuan 1St, Dongcheng District, Beijing, 100730 China
| | - Yan Zhou
- grid.413106.10000 0000 9889 6335Department of Neurology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science/Peking Union Medical College, Shuaifuyuan 1St, Dongcheng District, Beijing, 100730 China
| | - Bo Hou
- grid.413106.10000 0000 9889 6335Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Science/Peking Union Medical College, Beijing, 100730 China
| | - Feng Feng
- grid.413106.10000 0000 9889 6335Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Science/Peking Union Medical College, Beijing, 100730 China
| | - Lu Shen
- grid.452223.00000 0004 1757 7615Department of Neurology, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008 Hunan China
| | - Beisha Tang
- grid.452223.00000 0004 1757 7615Department of Neurology, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008 Hunan China
| | - Bin Peng
- grid.413106.10000 0000 9889 6335Department of Neurology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science/Peking Union Medical College, Shuaifuyuan 1St, Dongcheng District, Beijing, 100730 China
| | - Liying Cui
- grid.413106.10000 0000 9889 6335Department of Neurology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science/Peking Union Medical College, Shuaifuyuan 1St, Dongcheng District, Beijing, 100730 China
| | - Jing Gao
- grid.413106.10000 0000 9889 6335Department of Neurology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science/Peking Union Medical College, Shuaifuyuan 1St, Dongcheng District, Beijing, 100730 China
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Zhao B, Yang M, Wang Z, Yang Q, Zhang Y, Qi X, Pan S, Yu Y. Clinical characteristics of two patients with neuronal intranuclear inclusion disease and literature review. Front Neurosci 2022; 16:1056261. [PMID: 36545534 PMCID: PMC9762495 DOI: 10.3389/fnins.2022.1056261] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Accepted: 11/11/2022] [Indexed: 12/12/2022] Open
Abstract
Background Neuronal intranuclear inclusion disease (NIID) is a rare chronic progressive neurodegenerative disease, with complex and diverse clinical manifestations and pathological eosinophilic hyaline intranuclear inclusions in the central and peripheral nervous systems and visceral organs. Improvements in diagnostic methods such as skin biopsy and gene testing are helpful in revealing the clinical and genetic characters of NIID. Materials and methods We presented two cases of NIID diagnosed by using NOTCH2NLC gene testing and skin biopsy. Diffusion weighted imaging (DWI) showed high linear intensity in corticomedullary junction. We also reviewed all the published NIID cases with positive NOTCH2NLC GGC repeat expansion and skin biopsy results in PubMed. Results Patient 1 was a 63-year-old male who carried 148 GGC repeats and presented with progressive tremor and limb weakness. Patient 2 was a 62-year-old woman who carried 131 GGC repeats and presented with tremors, memory loss and headaches. The most common clinical manifestation of 63 NIID patients in this study was cognitive impairment, followed by tremors. In our study, almost all the patients were from East Asia, the male to female ratio was 1:1.26, with an age of onset of 54.12 ± 14.12 years, and an age of diagnosis of 60.03 ± 12.21 years. Symmetrical high signal intensity at the corticomedullary junction on DWI were revealed in 80.96% of the patients. For the GGC repeat numbers, the majority of GGC repeats were in the 80-119 intervals, with few GGC repeats above 160. The number of GGC repetitions was significantly higher in patients presented with muscle weakness than in other clinical manifestations. Conclusion NIID is a neurodegenerative disease caused by aberrant polyglycine (polyG) protein aggregation. NIID mostly occurs in the elderly population in East Asia, with cognitive dysfunction as the most common symptom. Staging NIID based on clinical presentation is inappropriate because most patients with NIID have overlapping symptoms. In our study, there was no significant correlation between the number of GGC repeats and different phenotypes except for muscle weakness. Abnormal trinucleotides repeat and PolyG protein aggregation maybe common pathogenic mechanism in neurodegenerative diseases and cerebrovascular diseases, which needs to be confirmed by more studies.
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Affiliation(s)
- Bo Zhao
- Department of Neurology, The First Medical Center, Chinese PLA General Hospital, Beijing, China,The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China
| | - Miao Yang
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China
| | - Zhiwei Wang
- Department of Neurology, The First Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Qiqiong Yang
- Department of Neurology, The First Medical Center, Chinese PLA General Hospital, Beijing, China,The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China
| | - Yimo Zhang
- Department of Neurology, The First Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Xiaokun Qi
- Department of Neurology, The First Medical Center, Chinese PLA General Hospital, Beijing, China,The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China
| | - Shuyi Pan
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China
| | - Yingxin Yu
- Department of Neurology, The First Medical Center, Chinese PLA General Hospital, Beijing, China,*Correspondence: Yingxin Yu,
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Liu Y, Li H, Liu X, Wang B, Yang H, Wan B, Sun M, Xu X. Clinical and mechanism advances of neuronal intranuclear inclusion disease. Front Aging Neurosci 2022; 14:934725. [PMID: 36177481 PMCID: PMC9513122 DOI: 10.3389/fnagi.2022.934725] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2022] [Accepted: 08/22/2022] [Indexed: 11/13/2022] Open
Abstract
Due to the high clinical heterogeneity of neuronal intranuclear inclusion disease (NIID), it is easy to misdiagnose this condition and is considered to be a rare progressive neurodegenerative disease. More evidence demonstrates that NIID involves not only the central nervous system but also multiple systems of the body and shows a variety of symptoms, which makes a clinical diagnosis of NIID more difficult. This review summarizes the clinical symptoms in different systems and demonstrates that NIID is a multiple-system intranuclear inclusion disease. In addition, the core triad symptoms in the central nervous system, such as dementia, parkinsonism, and psychiatric symptoms, are proposed as an important clue for the clinical diagnosis of NIID. Recent studies have demonstrated that expanded GGC repeats in the 5′-untranslated region of the NOTCH2NLC gene are the cause of NIID. The genetic advances and possible underlying mechanisms of NIID (expanded GGC repeat-induced DNA damage, RNA toxicity, and polyglycine-NOTCH2NLC protein toxicity) are briefly summarized in this review. Interestingly, inflammatory cell infiltration and inflammation were observed in the affected tissues of patients with NIID. As a downstream pathological process of NIID, inflammation could be a therapeutic target for NIID.
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Affiliation(s)
- Yueqi Liu
- Department of Neurology, The First Affiliated Hospital of Soochow University, Suzhou, China
- Institute of Neuroscience, Soochow University, Suzhou, China
| | - Hao Li
- Department of Neurology, The First Affiliated Hospital of Soochow University, Suzhou, China
- Institute of Neuroscience, Soochow University, Suzhou, China
| | - Xuan Liu
- Department of Neurology, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Bin Wang
- Institute of Neuroscience, Soochow University, Suzhou, China
- Institute for Fetology, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Hao Yang
- Institute for Fetology, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Bo Wan
- Institute of Neuroscience, Soochow University, Suzhou, China
- Bo Wan,
| | - Miao Sun
- Institute for Fetology, The First Affiliated Hospital of Soochow University, Suzhou, China
- Miao Sun,
| | - Xingshun Xu
- Department of Neurology, The First Affiliated Hospital of Soochow University, Suzhou, China
- Institute of Neuroscience, Soochow University, Suzhou, China
- Jiangsu Key Laboratory of Neuropsychiatric Diseases, Soochow University, Suzhou, Jiangsu, China
- *Correspondence: Xingshun Xu,
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