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Clinical-neuroimaging-pathological relationship analysis of adult onset Neuronal Intranuclear Inclusion Disease (NIID)

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 Chin...

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Autores principales: Mao, Chenhui, Zhou, Liangrui, Li, Jie, Pang, Junyi, Chu, Shanshan, Jin, Wei, Huang, Xinying, Wang, Jie, Liu, Caiyan, Liu, Qing, Hao, Honglin, Zhou, Yan, Hou, Bo, Feng, Feng, Shen, Lu, Tang, Beisha, Peng, Bin, Cui, Liying, Gao, Jing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9753287/
https://www.ncbi.nlm.nih.gov/pubmed/36522621
http://dx.doi.org/10.1186/s12883-022-03025-1
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author Mao, Chenhui
Zhou, Liangrui
Li, Jie
Pang, Junyi
Chu, Shanshan
Jin, Wei
Huang, Xinying
Wang, Jie
Liu, Caiyan
Liu, Qing
Hao, Honglin
Zhou, Yan
Hou, Bo
Feng, Feng
Shen, Lu
Tang, Beisha
Peng, Bin
Cui, Liying
Gao, Jing
author_facet Mao, Chenhui
Zhou, Liangrui
Li, Jie
Pang, Junyi
Chu, Shanshan
Jin, Wei
Huang, Xinying
Wang, Jie
Liu, Caiyan
Liu, Qing
Hao, Honglin
Zhou, Yan
Hou, Bo
Feng, Feng
Shen, Lu
Tang, Beisha
Peng, Bin
Cui, Liying
Gao, Jing
author_sort Mao, Chenhui
collection PubMed
description 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 Aβ(42) 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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spelling pubmed-97532872022-12-16 Clinical-neuroimaging-pathological relationship analysis of adult onset Neuronal Intranuclear Inclusion Disease (NIID) Mao, Chenhui Zhou, Liangrui Li, Jie Pang, Junyi Chu, Shanshan Jin, Wei Huang, Xinying Wang, Jie Liu, Caiyan Liu, Qing Hao, Honglin Zhou, Yan Hou, Bo Feng, Feng Shen, Lu Tang, Beisha Peng, Bin Cui, Liying Gao, Jing BMC Neurol Research Article 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 Aβ(42) 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. BioMed Central 2022-12-15 /pmc/articles/PMC9753287/ /pubmed/36522621 http://dx.doi.org/10.1186/s12883-022-03025-1 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Mao, Chenhui
Zhou, Liangrui
Li, Jie
Pang, Junyi
Chu, Shanshan
Jin, Wei
Huang, Xinying
Wang, Jie
Liu, Caiyan
Liu, Qing
Hao, Honglin
Zhou, Yan
Hou, Bo
Feng, Feng
Shen, Lu
Tang, Beisha
Peng, Bin
Cui, Liying
Gao, Jing
Clinical-neuroimaging-pathological relationship analysis of adult onset Neuronal Intranuclear Inclusion Disease (NIID)
title Clinical-neuroimaging-pathological relationship analysis of adult onset Neuronal Intranuclear Inclusion Disease (NIID)
title_full Clinical-neuroimaging-pathological relationship analysis of adult onset Neuronal Intranuclear Inclusion Disease (NIID)
title_fullStr Clinical-neuroimaging-pathological relationship analysis of adult onset Neuronal Intranuclear Inclusion Disease (NIID)
title_full_unstemmed Clinical-neuroimaging-pathological relationship analysis of adult onset Neuronal Intranuclear Inclusion Disease (NIID)
title_short Clinical-neuroimaging-pathological relationship analysis of adult onset Neuronal Intranuclear Inclusion Disease (NIID)
title_sort clinical-neuroimaging-pathological relationship analysis of adult onset neuronal intranuclear inclusion disease (niid)
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9753287/
https://www.ncbi.nlm.nih.gov/pubmed/36522621
http://dx.doi.org/10.1186/s12883-022-03025-1
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