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Shi Q, Chen C, Xiao K, Zhou W, Gao C, Gao L, Han J, Wang J, Dong X. Characteristics of Different Types of Prion Diseases - China's Surveillance. China CDC Wkly 2022; 4:723-728. [PMID: 36285115 PMCID: PMC9547742 DOI: 10.46234/ccdcw2022.151] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2022] [Accepted: 08/14/2022] [Indexed: 12/01/2022] Open
Abstract
This report briefly described the establishment and implementation of national surveillance for human prion disease (PrD) in China. Reported cases came from Chinese surveillance network for PrD. Immunohistochemistry, Western blot, enzyme-linked immunosorbent assay (ELISA), Polymerase Chain Reaction (PCR), and real-time quaking-induced conversion (RT-QuIC) tests were used for the samples of brain, cerebrospinal fluid (CSF), and blood. Diagnosis standard for the PrDs is based on the National Commission of Health (WS/T 562-2017). The study summarized major epidemiological, clinical and laboratory features of more than 2,100 diagnosed different types of Chinese PrD cases. Sporadic Creutzfeldt-Jacob disease (sCJD) is the predominant type of PrD (88.7%). 19 different genotypes of genetic PrDs (gPrDs) were identified, accounting for about 11.3% of all PrDs, revealing ethno-relationships. No iatrogenic CJD (iCJD) and variant CJD (vCJD) was identified. The characteristics of different types of sCJD in China showed similar features as those reported globally, but gPrDs showed an obvious ethno-relationship.
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Affiliation(s)
- Qi Shi
- State Key Laboratory for Infectious Disease Prevention and Control, NHC Key Laboratory of Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China,China Academy of Chinese Medical Sciences, Beijing, China
| | - Cao Chen
- State Key Laboratory for Infectious Disease Prevention and Control, NHC Key Laboratory of Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China,Center for Biosafety Mega-Science, Chinese Academy of Sciences, Wuhan City, Hubei Province, China
| | - Kang Xiao
- State Key Laboratory for Infectious Disease Prevention and Control, NHC Key Laboratory of Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Wei Zhou
- State Key Laboratory for Infectious Disease Prevention and Control, NHC Key Laboratory of Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Chen Gao
- State Key Laboratory for Infectious Disease Prevention and Control, NHC Key Laboratory of Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Liping Gao
- State Key Laboratory for Infectious Disease Prevention and Control, NHC Key Laboratory of Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Jun Han
- State Key Laboratory for Infectious Disease Prevention and Control, NHC Key Laboratory of Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Jichun Wang
- State Key Laboratory for Infectious Disease Prevention and Control, NHC Key Laboratory of Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China,Division of Science and Technology, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xiaoping Dong
- State Key Laboratory for Infectious Disease Prevention and Control, NHC Key Laboratory of Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China,China Academy of Chinese Medical Sciences, Beijing, China,Center for Biosafety Mega-Science, Chinese Academy of Sciences, Wuhan City, Hubei Province, China,Shanghai Institute of Infectious Disease and Biosafety, Shanghai Municipality, China,Xiaoping Dong,
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Xie K, Chen Y, Chu M, Cui Y, Chen Z, Zhang J, Liu L, Jing D, Cui C, Liang Z, Ren L, Rosa-Neto P, Ghorayeb I, Zhang Z, Wu L. Specific structuro-metabolic pattern of thalamic subnuclei in fatal familial insomnia: A PET/MRI imaging study. Neuroimage Clin 2022; 34:103026. [PMID: 35504222 PMCID: PMC9065920 DOI: 10.1016/j.nicl.2022.103026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2022] [Revised: 03/31/2022] [Accepted: 04/24/2022] [Indexed: 10/31/2022]
Abstract
BACKGROUND Dysfunction of the thalamus has been proposed as a core mechanism of fatal familial insomnia. However, detailed metabolic and structural alterations in thalamic subnuclei are not well documented. We aimed to address the multimodal structuro-metabolic pattern at the level of the thalamic nuclei in fatal familial insomnia patients, and investigated the clinical presentation of primary thalamic alterations. MATERIALS AND METHODS Five fatal familial insomnia patients and 10 healthy controls were enrolled in this study. All participants underwent neuropsychological assessments, polysomnography, electroencephalogram, and cerebrospinal fluid tests. MRI and fluorodeoxyglucose PET were acquired on a hybrid PET/MRI system. Structural and metabolic changes were compared using voxel-based morphometry analyses and standardized uptake value ratio analyses, focusing on thalamic subnuclei region of interest analyses. Correlation analysis was conducted between gray matter volume and metabolic decrease ratios, and clinical features. RESULTS The whole-brain analysis showed that gray matter volume decline was confined to the bilateral thalamus and right middle temporal pole in fatal familial insomnia patients, whereas hypometabolism was observed in the bilateral thalamus, basal ganglia, and widespread cortices, mainly in the forebrain. In the regions of interest analysis, gray matter volume and metabolism decreases were prominent in bilateral medial dorsal nuclei, anterior nuclei, and the pulvinar, which is consistent with neuropathological and clinical findings. A positive correlation was found between gray matter volume and metabolic decrease ratios. CONCLUSIONS Our study revealed specific structuro-metabolic pattern of fatal familial insomnia that demonstrated the essential roles of medial dorsal nuclei, anterior nuclei, and pulvinar, which may be a potential biomarker in diagnosis. Also, primary thalamic subnuclei alterations may be correlated with insomnia, neuropsychiatric, and autonomic symptoms sparing primary cortical involvement.
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Affiliation(s)
- Kexin Xie
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing 100053, China
| | - Yaojing Chen
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China
| | - Min Chu
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing 100053, China
| | - Yue Cui
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing 100053, China
| | - Zhongyun Chen
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing 100053, China
| | - Jing Zhang
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing 100053, China
| | - Li Liu
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing 100053, China; Department of Neurology, Shenyang Fifth People Hospital, Shenyang, Liaoning 110023, China
| | - Donglai Jing
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing 100053, China; Department of Neurology, Rongcheng People's Hospital, Baoding, Hebei 071700, China
| | - Chunlei Cui
- Department of Nuclear Medicine, Xuanwu Hospital, Capital Medical University, Beijing 100053, China
| | - Zhigang Liang
- Department of Nuclear Medicine, Xuanwu Hospital, Capital Medical University, Beijing 100053, China
| | - Liankun Ren
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing 100053, China
| | - Pedro Rosa-Neto
- McGill University Research Centre for Studies in Aging, Montreal, QC H3G 1Y6, Canada
| | - Imad Ghorayeb
- Université de Bordeaux, Institut de Neurosciences Cognitives et Intégratives d'Aquitaine, UMR 5287, F-33076 Bordeaux, France; CNRS, Institut de Neurosciences Cognitives et Intégratives d'Aquitaine, UMR 5287, F-33076 Bordeaux, France; Département de Neurophysiologie Clinique, Pôle Neurosciences Cliniques, CHU de Bordeaux, F-33076 Bordeaux, France
| | - Zhanjun Zhang
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China.
| | - Liyong Wu
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing 100053, China; National Clinical Research Center for Geriatric Diseases, Beijing 100053, China.
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3
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Liang L, Yan J, Huang X, Zou C, Chen L, Li R, Xie J, Pan M, Zou D, Liu Y. Identification of molecular signatures associated with sleep disorder and Alzheimer's disease. Front Psychiatry 2022; 13:925012. [PMID: 35990086 PMCID: PMC9386361 DOI: 10.3389/fpsyt.2022.925012] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Accepted: 07/20/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Alzheimer's disease (AD) and sleep disorders are both neurodegenerative conditions characterized by impaired or absent sleep. However, potential common pathogenetic mechanisms of these diseases are not well characterized. METHODS Differentially expressed genes (DEGs) were identified using publicly available human gene expression profiles GSE5281 for AD and GSE40562 for sleep disorder. DEGs common to the two datasets were used for enrichment analysis, and we performed multi-scale embedded gene co-expression network analysis (MEGENA) for common DEGs. Fast gene set enrichment analysis (fGSEA) was used to obtain common pathways, while gene set variation analysis (GSVA) was applied to quantify those pathways. Subsequently, we extracted the common genes between module genes identified by MEGENA and genes of the common pathways, and we constructed protein-protein interaction (PPI) networks. The top 10 genes with the highest degree of connectivity were classified as hub genes. Common genes were used to perform Metascape enrichment analysis for functional enrichment. Furthermore, we quantified infiltrating immune cells in patients with AD or sleep disorder and in controls. RESULTS DEGs common to the two disorders were involved in the citrate cycle and the HIF-1 signaling pathway, and several common DEGs were related to signaling pathways regulating the pluripotency of stem cells, as well as 10 other pathways. Using MEGENA, we identified 29 modules and 1,498 module genes in GSE5281, and 55 modules and 1,791 module genes in GSE40562. Hub genes involved in AD and sleep disorder were ATP5A1, ATP5B, COX5A, GAPDH, NDUFA9, NDUFS3, NDUFV2, SOD1, UQCRC1, and UQCRC2. Plasmacytoid dendritic cells and T helper 17 cells had the most extensive infiltration in both AD and sleep disorder. CONCLUSION AD pathology and pathways of neurodegeneration participate in processes contributing in AD and sleep disorder. Hub genes may be worth exploring as potential candidates for targeted therapy of AD and sleep disorder.
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Affiliation(s)
- Lucong Liang
- Department of Neurology, The Second Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Jing Yan
- Department of Geriatrics, The Fifth Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Xiaohua Huang
- Department of Neurology, The Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China
| | - Chun Zou
- Department of Neurology, The Second Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Liechun Chen
- Department of Neurology, The Second Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Rongjie Li
- Department of Geriatrics, The Fifth Affiliated Hospital of Guangxi Medical University, Nanning, China.,Department of Geriatrics, The First People's Hospital of Nanning, Nanning, China
| | - Jieqiong Xie
- Department of Neurology, The Second Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Mika Pan
- Department of Neurology, The Second Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Donghua Zou
- Department of Neurology, The Second Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Ying Liu
- Department of Geriatrics, The Fifth Affiliated Hospital of Guangxi Medical University, Nanning, China.,Department of Geriatrics, The First People's Hospital of Nanning, Nanning, China
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Shi Q, Chen C, Xiao K, Zhou W, Gao LP, Chen DD, Wu YZ, Wang Y, Hu C, Gao C, Dong XP. Genetic Prion Disease: Insight from the Features and Experience of China National Surveillance for Creutzfeldt-Jakob Disease. Neurosci Bull 2021; 37:1570-1582. [PMID: 34487324 DOI: 10.1007/s12264-021-00764-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2021] [Accepted: 05/11/2021] [Indexed: 01/07/2023] Open
Abstract
Human genetic prion diseases (gPrDs) are directly associated with mutations and insertions in the PRNP (Prion Protein) gene. We collected and analyzed the data of 218 Chinese gPrD patients identified between Jan 2006 and June 2020. Nineteen different subtypes were identified and gPrDs accounted for 10.9% of all diagnosed PrDs within the same period. Some subtypes of gPrDs showed a degree of geographic association. The age at onset of Chinese gPrDs peaked in the 50-59 year group. Gerstmann-Sträussler-Scheinker syndrome (GSS) and fatal familial insomnia (FFI) cases usually displayed clinical symptoms earlier than genetic Creutzfeldt-Jakob disease (gCJD) patients with point mutations. A family history was more frequently recalled in P105L GSS and D178N FFI patients than T188K and E200K patients. None of the E196A gCJD patients reported a family history. The gCJD cases with point mutations always developed clinical manifestations typical of sporadic CJD (sCJD). EEG examination was not sensitive for gPrDs. sCJD-associated abnormalities on MRI were found in high proportions of GSS and gCJD patients. CSF 14-3-3 positivity was frequently detected in gCJD patients. Increased CSF tau was found in more than half of FFI and T188K gCJD cases, and an even higher proportion of E196A and E200K gCJD patients. 63.6% of P105L GSS cases showed a positive reaction in cerebrospinal fluid RT-QuIC. GSS and FFI cases had longer durations than most subtypes of gCJD. This is one of the largest studies of gPrDs in East Asians, and the illness profile of Chinese gPrDs is clearly distinct. Extremely high proportions of T188K and E196A occur among Chinese gPrDs; these mutations are rarely reported in Caucasians and Japanese.
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Affiliation(s)
- Qi Shi
- State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases (Zhejiang University), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China. .,China Academy of Chinese Medical Sciences, Beijing, 100700, China.
| | - Cao Chen
- State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases (Zhejiang University), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China.,Center for Biosafety Mega-Science, Chinese Academy of Sciences, Wuhan, 430064, China
| | - Kang Xiao
- State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases (Zhejiang University), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China
| | - Wei Zhou
- State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases (Zhejiang University), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China
| | - Li-Ping Gao
- State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases (Zhejiang University), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China
| | - Dong-Dong Chen
- State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases (Zhejiang University), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China
| | - Yue-Zhang Wu
- State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases (Zhejiang University), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China
| | - Yuan Wang
- State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases (Zhejiang University), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China
| | - Chao Hu
- State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases (Zhejiang University), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China
| | - Chen Gao
- State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases (Zhejiang University), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China
| | - Xiao-Ping Dong
- State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases (Zhejiang University), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China. .,Center for Global Public Health, Chinese Center for Disease Control and Prevention, Beijing, 102206, China. .,Center for Biosafety Mega-Science, Chinese Academy of Sciences, Wuhan, 430064, China. .,China Academy of Chinese Medical Sciences, Beijing, 100700, China.
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Integrative genomics analysis identifies five promising genes implicated in insomnia risk based on multiple omics datasets. Biosci Rep 2021; 40:226183. [PMID: 32830860 PMCID: PMC7468094 DOI: 10.1042/bsr20201084] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2020] [Revised: 08/15/2020] [Accepted: 08/21/2020] [Indexed: 12/27/2022] Open
Abstract
In recent decades, many genome-wide association studies on insomnia have reported numerous genes harboring multiple risk variants. Nevertheless, the molecular functions of these risk variants conveying risk to insomnia are still ill-studied. In the present study, we integrated GWAS summary statistics (N=386,533) with two independent brain expression quantitative trait loci (eQTL) datasets (N=329) to determine whether expression-associated SNPs convey risk to insomnia. Furthermore, we applied numerous bioinformatics analyses to highlight promising genes associated with insomnia risk. By using Sherlock integrative analysis, we detected 449 significant insomnia-associated genes in the discovery stage. These identified genes were significantly overrepresented in six biological pathways including Huntington’s disease (P=5.58 × 10−5), Alzheimer’s disease (P=5.58 × 10−5), Parkinson’s disease (P=6.34 × 10−5), spliceosome (P=1.17 × 10−4), oxidative phosphorylation (P=1.09 × 10−4), and wnt signaling pathways (P=2.07 × 10−4). Further, five of these identified genes were replicated in an independent brain eQTL dataset. Through a PPI network analysis, we found that there existed highly functional interactions among these five identified genes. Three genes of LDHA (P=0.044), DALRD3 (P=5.0 × 10−5), and HEBP2 (P=0.032) showed significantly lower expression level in brain tissues of insomnic patients than that in controls. In addition, the expression levels of these five genes showed prominently dynamic changes across different time points between behavioral states of sleep and sleep deprivation in mice brain cortex. Together, the evidence of the present study strongly suggested that these five identified genes may represent candidate genes and contributed risk to the etiology of insomnia.
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Xiao K, Shi Q, Zhou W, Dong XP. Different post-mortem brain regions from three Chinese FFI patients induce different reactive profiles both in the first and second generation RT-QuIC assays. Prion 2020; 14:163-169. [PMID: 32573356 PMCID: PMC7518747 DOI: 10.1080/19336896.2020.1782809] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
Fatal Familial Insomnia (FFI) is one of the most popular genetic prion disease (gPrD) in China. Unlike the other types of human prion diseases, FFI patients show distinctive neuropathological characteristics, such as less deposition of PrPSc, low tissue infectivity and severe neuron losses in some special brain regions. Compared with other gPrDs, the positive reactions of cerebrospinal fluid (CSF) RT-QuIC of FFI patients were markedly low. However, the reactivities of RT-QuIC of the brain tissues, particularly different brain regions, of FFI cases are rarely described. In this study, three different brain regions from three FFI patients were subjected into two kinds of RT-QuIC assays using recombinant hamster PrP23-231 (rHaPrP23-231) and PrP90-231 (rHaPrP90-231) as the substrates, respectively. The results showed that the general RT-QuIC reactivities of the brains from FFI cases were significantly lower than that of sCJD. Analyses of the positive rates and the reactivities (lag time and rfu peak) of RT-QuIC identified that the homogenates of frontal lobe induced the most active reaction, followed by thalamus and callosum. The RT-QuIC reactivity in the tested brain sample was closely associated with the intensity of PK-resistant PrPSc. Moreover, we also verified that the sensitivity of the RT-QuIC of rHaPrP90-231 was much higher than that of rHaPrP23-231. Those data confirm that brain tissues of FFI patients are able to convert positive reactions in RT-QuIC and show regional-associated positive converting capacities.
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Affiliation(s)
- Kang Xiao
- State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases (Zhejiang University), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention , Beijing, China
| | - Qi Shi
- State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases (Zhejiang University), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention , Beijing, China
| | - Wei Zhou
- State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases (Zhejiang University), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention , Beijing, China
| | - Xiao-Ping Dong
- State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases (Zhejiang University), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention , Beijing, China.,Center for Global Public Health, Chinese Center for Disease Control and Prevention , Beijing, China.,Wuhan Institute of Virology, Chinese Academy of Science , Wuhan, China.,China Academy of Chinese Medical Sciences , Beijing, China
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Lima JEE, Youn TS, Robinson C, Gilmore EJ, Schrag M, Sanamandra S, Maciel CB. Clinical Reasoning: A 45-year-old man with progressive insomnia and psychiatric and motor symptoms. Neurology 2020; 94:e1213-e1218. [DOI: 10.1212/wnl.0000000000009098] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
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Baldelli L, Provini F. Fatal familial insomnia and Agrypnia Excitata: Autonomic dysfunctions and pathophysiological implications. Auton Neurosci 2019; 218:68-86. [PMID: 30890351 DOI: 10.1016/j.autneu.2019.02.007] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2019] [Revised: 02/23/2019] [Accepted: 02/24/2019] [Indexed: 01/26/2023]
Abstract
Fatal Familial Insomnia (FFI) is a hereditary prion disease caused by a mutation at codon 178 of the prion-protein gene leading to a D178N substitution in the protein determining severe and selective atrophy of mediodorsal and anteroventral thalamic nuclei. FFI is characterized by physiological sleep loss, which polygraphically appears to be a slow wave sleep loss, autonomic and motor hyperactivation with peculiar episodes of oneiric stupor. Alteration of autonomic functions is a great burden for FFI patients consisting in sympathetic overactivation, dysregulation of its physiological responses and disruption of circadian rhythms. The cardiovascular system is the most frequently and severely affected confirming the increased sympathetic drive with preserved parasympathetic responses. Sleep loss, autonomic and motor hyperactivation define Agrypnia Excitata (AE), which is not exclusive to FFI, but it has been canonically described also in Morvan Syndrome and Delirium Tremens. These three conditions present different pathophysiological mechanisms but share the same thalamo-limbic impairment of which AE is one of the possible clinical presentations. FFI, and consequently also AE, is a model for the investigation of the essential role of the thalamus in the organization of body homeostasis, integrating both sleep and autonomic function control.
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Affiliation(s)
- Luca Baldelli
- Department of Biomedical and NeuroMotor Sciences (DiBiNeM), University of Bologna, Italy
| | - Federica Provini
- Department of Biomedical and NeuroMotor Sciences (DiBiNeM), University of Bologna, Italy; IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy.
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Xiao K, Shi Q, Zhou W, Zhang BY, Wang Y, Chen C, Ma Y, Gao C, Dong XP. T188K-Familial Creutzfeldt-Jacob Disease, Predominant Among Chinese, has a Reactive Pattern in CSF RT-QuIC Different from D178N-Fatal Familial Insomnia and E200K-Familial CJD. Neurosci Bull 2019; 35:519-521. [PMID: 30838505 DOI: 10.1007/s12264-019-00354-z] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2018] [Accepted: 01/24/2019] [Indexed: 02/07/2023] Open
Affiliation(s)
- Kang Xiao
- State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases (Zhejiang University), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China
| | - Qi Shi
- State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases (Zhejiang University), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China.
| | - Wei Zhou
- State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases (Zhejiang University), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China
| | - Bao-Yun Zhang
- State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases (Zhejiang University), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China
| | - Yuan Wang
- State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases (Zhejiang University), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China
| | - Cao Chen
- State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases (Zhejiang University), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China
| | - Yue Ma
- State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases (Zhejiang University), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China
| | - Chen Gao
- State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases (Zhejiang University), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China
| | - Xiao-Ping Dong
- State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases (Zhejiang University), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China. .,Center for Global Public Health, Chinese Center for Disease Control and Prevention, Beijing, 102206, China.
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10
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Fukuoka T, Nakazato Y, Yamamoto M, Miyake A, Mitsufuji T, Yamamoto T. Fatal Familial Insomnia Initially Developing Parkinsonism Mimicking Dementia with Lewy Bodies. Intern Med 2018; 57:2719-2722. [PMID: 29709939 PMCID: PMC6191601 DOI: 10.2169/internalmedicine.0573-17] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
We report a rare case of fatal familial insomnia in a 58-year-old man who initially developed parkinsonism, secondary dementia, and visual hallucinations that were suspected to be due to dementia with Lewy bodies. We evaluated the function of the striatum via dopamine transporter single-photon emission computed tomography (DAT SPECT) using 123I-ioflupane and found marked presynaptic dopamine dysfunction in the bilateral striatum. This is the first reported case in which the initial symptom of fatal familial insomnia was parkinsonism and in which the dopamine transporter function was evaluated by DAT SPECT.
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Affiliation(s)
- Takuya Fukuoka
- Department of Neurology, Saitama Medical University, Japan
| | | | | | - Akifumi Miyake
- Department of Neurology, Saitama Medical University, Japan
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11
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Chen S, He S, Shi XH, Shen XJ, Liang KK, Zhao JH, Yan BC, Zhang JW. The clinical features in Chinese patients with PRNP D178N mutation. Acta Neurol Scand 2018; 138:151-155. [PMID: 29569252 DOI: 10.1111/ane.12924] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/21/2018] [Indexed: 12/19/2022]
Abstract
BACKGROUND AND PURPOSE Fatal familial insomnia (FFI) is an autosomal dominant disease due to the D178N mutation of PRNP gene coupling with homozygous methionine (Met) at codon 129. It is generally considered that D178N mutation cases with 129 M/M homozygotes present as FFI, and 129 V/V as genetic CJD. However, the frequency of 129 Met alleles in Chinese population is much higher than that in Caucasians. This study aims to investigate the clinical features and genetic characteristics of Chinese D178N mutants in this genetic context. METHODS We reviewed the clinical and genetic features of seven D178N patients. The clinical data, genetic data, electroencephalogram (EEG), brain magnetic resonance imaging (MRI), polysomnography (PSG), CSF 14-3-3 protein examinations of the seven patients were analyzed. RESULTS The genotypes at codon 129 were all M/M. Four of the seven cases reported positive family history. Four patients were more likely the CJD phenotype and three were FFI phenotype according to the core clinical features. No major differences were found on the EEG, CSF 14-3-3 protein, and PSG presentations between this study and western studies. Novel neuroimaging findings were two patients had typical neuroimaging abnormalities of CJD and frontotemporal dementia, respectively. CONCLUSIONS Unlike the western populations, the diverse phenotypical presentations of D178N mutants were not simply determined by the 129 genotypes in Chinese. The underlying modifying factors for phenotypical variations warrant further investigations. For those with atypical clinical and imaging features, genetic testing was important for final diagnosis.
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Affiliation(s)
- S. Chen
- Department of Neurology; Zhengzhou University People's Hospital; Zhengzhou China
| | - S. He
- Department of Neurology; Zhengzhou University People's Hospital; Zhengzhou China
| | - X.-H. Shi
- Department of Neurology; Zhengzhou University People's Hospital; Zhengzhou China
| | - X.-J. Shen
- Henan Provincial Center for Disease Control and Prevention; Zhengzhou China
| | - K.-K. Liang
- Department of Neurology; Zhengzhou University People's Hospital; Zhengzhou China
| | - J.-H. Zhao
- Department of Neurology; Zhengzhou University People's Hospital; Zhengzhou China
| | - B.-C. Yan
- Department of Neurology; Zhengzhou University People's Hospital; Zhengzhou China
| | - J.-W. Zhang
- Department of Neurology; Zhengzhou University People's Hospital; Zhengzhou China
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12
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Wu LY, Zhan SQ, Huang ZY, Zhang B, Wang T, Liu CF, Lu H, Dong XP, Wu ZY, Zhang JW, Zhang JH, Zhao ZX, Han F, Huang Y, Lu J, Gauthier S, Jia JP, Wang YP. Expert Consensus on Clinical Diagnostic Criteria for Fatal Familial Insomnia. Chin Med J (Engl) 2018; 131:1613-1617. [PMID: 29941716 PMCID: PMC6032681 DOI: 10.4103/0366-6999.235115] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
Affiliation(s)
- Li-Yong Wu
- Department of Neurology, Xuan Wu Hospital, Capital Medical University, Beijing 100053, China
| | - Shu-Qin Zhan
- Department of Neurology, Xuan Wu Hospital, Capital Medical University, Beijing 100053, China
| | - Zhao-Yang Huang
- Department of Neurology, Xuan Wu Hospital, Capital Medical University, Beijing 100053, China
| | - Bin Zhang
- Department of Psychiatry, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong 510515, China
| | - Tao Wang
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430022, China
| | - Chun-Feng Liu
- Department of Neurology, Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu 215004, China
| | - Hui Lu
- Department of Neurology, Xuan Wu Hospital, Capital Medical University, Beijing 100053, China
| | - Xiao-Ping Dong
- State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Zhi-Ying Wu
- Department of Neurology and Research Center of Neurology, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310009, China
| | - Jie-Wen Zhang
- Department of Neurology, Henan Provincial People's Hospital, Zhengzhou, Henan 450003, China
| | - Ji-Hui Zhang
- Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, NT, Hong Kong SAR 000000, China
| | - Zhong-Xin Zhao
- Department of Neurology, Changzheng Hospital, The Second Military Medical University, Shanghai 200003, China
| | - Fang Han
- Department of Respiratory Medicine, Peking University People's Hospital, Beijing 100044, China
| | - Yan Huang
- Department of Neurology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
| | - Jun Lu
- Department of Neurology, Program in Neuroscience and Division of Sleep Medicine, Harvard Medical School and Beth Israel Deaconess Medical Center, Boston 02215, MA, USA
| | - Serge Gauthier
- McGill Centre for Studies in Aging, Alzheimer's Disease Research Unit, Montreal H4H 1R3, Canada
| | - Jian-Ping Jia
- Department of Neurology, Xuan Wu Hospital, Capital Medical University, Beijing 100053, China
| | - Yu-Ping Wang
- Department of Neurology, Xuan Wu Hospital, Capital Medical University, Beijing 100053, China
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13
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Shi Q, Li JL, Ma Y, Gao LP, Xiao K, Wang J, Zhou W, Chen C, Guo YJ, Dong XP. Decrease of RyR2 in the prion infected cell line and in the brains of the scrapie infected mice models and the patients of human prion diseases. Prion 2018; 12:175-184. [PMID: 29676187 DOI: 10.1080/19336896.2018.1465162] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022] Open
Abstract
The levels of ryanodine receptors (RyRs) are usually increased in the brains of human Alzheimer disease (AD) and AD animal models. To evaluate the underlying alteration of brain RyRs in prion disease, scrapie infected cell line SMB-S15 and its infected mice were tested. RyR2 specific Western blots revealed markedly decreased RyR2 levels both in the cells and in the brains of infected mice. Assays of the brain samples of other scrapie (agents 139A and ME7) infected mice collected at different time-points during incubation period showed time-dependent decreases of RyR2. Immunofluorescent assays (IFA) verified that the expression of RyR2 locates predominantly in cytoplasm of SMB cells and overlapped with the neurons in the brain slices of mice. Furthermore, significant down-regulation of RyR2 was also detected in the postmortem cortical brains of the patients of various types of human prion diseases, including sporadic Creutzfeldt-Jakob disease (sCJD), fatal familial insomnia (FFI) and G114V-genetic CJD. Our data here propose the evidences of remarkably decreased brain RyR2 at terminal stages of both human prion diseases and prion infected rodent models. It also highlights that the therapeutic strategy with antagonist of RyRs in AD may not be suitable for prion disease.
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Affiliation(s)
- Qi Shi
- a State Key Laboratory for Infectious Disease Prevention and Control , Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases (Zhejiang University), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention , Beijing , People's Republic of China
| | - Jian-Le Li
- a State Key Laboratory for Infectious Disease Prevention and Control , Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases (Zhejiang University), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention , Beijing , People's Republic of China.,b Department of Neurology , Beijing Friendship Hospital, Capital Medical University , Xicheng District, Beijing , People's Republic of China
| | - Yue Ma
- a State Key Laboratory for Infectious Disease Prevention and Control , Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases (Zhejiang University), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention , Beijing , People's Republic of China
| | - Li-Ping Gao
- a State Key Laboratory for Infectious Disease Prevention and Control , Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases (Zhejiang University), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention , Beijing , People's Republic of China
| | - Kang Xiao
- a State Key Laboratory for Infectious Disease Prevention and Control , Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases (Zhejiang University), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention , Beijing , People's Republic of China
| | - Jing Wang
- a State Key Laboratory for Infectious Disease Prevention and Control , Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases (Zhejiang University), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention , Beijing , People's Republic of China
| | - Wei Zhou
- a State Key Laboratory for Infectious Disease Prevention and Control , Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases (Zhejiang University), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention , Beijing , People's Republic of China
| | - Cao Chen
- a State Key Laboratory for Infectious Disease Prevention and Control , Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases (Zhejiang University), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention , Beijing , People's Republic of China
| | - Yan-Jun Guo
- b Department of Neurology , Beijing Friendship Hospital, Capital Medical University , Xicheng District, Beijing , People's Republic of China
| | - Xiao-Ping Dong
- a State Key Laboratory for Infectious Disease Prevention and Control , Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases (Zhejiang University), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention , Beijing , People's Republic of China
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14
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Abstract
Fatal familial insomnia (FFI) and sporadic fatal insomnia (sFI), or thalamic form of sporadic Creutzfeldt-Jakob disease MM2 (sCJDMM2T), are prion diseases originally named and characterized in 1992 and 1999, respectively. FFI is genetically determined and linked to a D178N mutation coupled with the M129 genotype in the prion protein gene (PRNP) at chromosome 20. sFI is a phenocopy of FFI and likely its sporadic form. Both diseases are primarily characterized by progressive sleep impairment, disturbances of autonomic nervous system, and motor signs associated with severe loss of nerve cells in medial thalamic nuclei. Both diseases harbor an abnormal disease-associated prion protein isoform, resistant to proteases with relative mass of 19 kDa identified as resPrPTSE type 2. To date at least 70 kindreds affected by FFI with 198 members and 18 unrelated carriers along with 25 typical cases of sFI have been published. The D178N-129M mutation is thought to cause FFI by destabilizing the mutated prion protein and facilitating its conversion to PrPTSE. The thalamus is the brain region first affected. A similar mechanism triggered spontaneously may underlie sFI.
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15
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Redaelli V, Tagliavini F, Moda F. Clinical features, pathophysiology and management of fatal familial insomnia. Expert Opin Orphan Drugs 2017. [DOI: 10.1080/21678707.2017.1311251] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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16
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Shi Q, Zhou W, Chen C, Zhang BY, Xiao K, Zhang XC, Shen XJ, Li Q, Deng LQ, Dong JH, Lin WQ, Huang P, Jiang WJ, Lv J, Han J, Dong XP. The Features of Genetic Prion Diseases Based on Chinese Surveillance Program. PLoS One 2015; 10:e0139552. [PMID: 26488179 PMCID: PMC4619501 DOI: 10.1371/journal.pone.0139552] [Citation(s) in RCA: 41] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2015] [Accepted: 09/14/2015] [Indexed: 12/16/2022] Open
Abstract
Objective To identify the features of Chinese genetic prion diseases. Methods Suspected Creutzfeldt-Jakob disease (CJD) cases that were reported under CJD surveillance were diagnosed and subtyped using the diagnostic criteria issued by the WHO. The general information concerning the patient, their clinical, MRI and EEG data, and the results of CSF 14-3-3 and PRNP sequencing were carefully collected from the database of the national CJD surveillance program and analyzed using the SPSS 11.5 statistical software program. Results Since 2006, 69 patients were diagnosed with genetic prion diseases and as having 15 different mutations. The median age of the 69 patients at disease onset was 53.5 years, varying from 19 to 80 years. The majority of patients displaying clinical symptoms were in the 50–59 years of age. FFI, T188K gCJD and E200K were the three most common subtypes. The disease appeared in the family histories of 43.48% of the patients. The clinical manifestations varied considerably among the various diseases. Patients who carried mutations in the N-terminus displayed a younger age of onset, were CSF 14-3-3 negative, had a family history of the condition, and experienced a longer duration of the condition. The clinical courses of T188K were significantly shorter than those of FFI and E200K gCJD, while the symptoms in the FFI group appeared at a younger age and for a longer duration. Moreover, the time intervals between the initial neurologist visit to the final diagnosis were similar among patients with FFI, T188K gCJD, E200K gCJD and other diseases. Conclusion The features of Chinese genetic prion diseases are different from those seen in Europe and other Asian countries.
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Affiliation(s)
- Qi Shi
- State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- Collaborative Innovation Center Diagnosis and Treatment of Infectious Diseases, Zhejiang University, Hangzhou, China
| | - Wei Zhou
- State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Cao Chen
- State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- Collaborative Innovation Center Diagnosis and Treatment of Infectious Diseases, Zhejiang University, Hangzhou, China
| | - Bao-Yun Zhang
- State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Kang Xiao
- State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- Collaborative Innovation Center Diagnosis and Treatment of Infectious Diseases, Zhejiang University, Hangzhou, China
| | - Xiu-Chun Zhang
- Beijing Centers for Disease Control and Prevention, Dongcheng District, Beijing, China
| | - Xiao-Jing Shen
- Henan Provincial Center for Disease Control and Prevention, Zhengzhou, China
| | - Qing Li
- An hui Provincial Center for Disease Control and Prevention, Hefei, China
| | - Li-Quan Deng
- Department of infectious disease control and Prevention, Jilin Provincial Center for Disease Control and Prevention, Changchun, China
| | - Jian-Hua Dong
- Shaanxi Provincial Center for Disease Control and Prevention, Xi’an, China
| | - Wen-Qing Lin
- Institute for Infectious Disease Control and Prevention, Guangdong provincial Center for Disease Control and Prevention, Dashing Town, Panyu District, Guangzhou, China
| | - Pu Huang
- Deptartment of Acute Communicable Disease Control & Prevention, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
| | - Wei-Jia Jiang
- Institute of Infectious Diseases Prevention and Control, GuiZhou province Center for Disease Control and Prevention, Guiyang, GuiZhou, China
| | - Jie Lv
- Tianjin Centers for Diseases Control and Prevention, Hua Yue Street, Hedong District, Tianjin, China
| | - Jun Han
- State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- Collaborative Innovation Center Diagnosis and Treatment of Infectious Diseases, Zhejiang University, Hangzhou, China
| | - Xiao-Ping Dong
- State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- Collaborative Innovation Center Diagnosis and Treatment of Infectious Diseases, Zhejiang University, Hangzhou, China
- Chinese Academy of Sciences Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
- * E-mail:
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17
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Chen LN, Shi Q, Zhang BY, Zhang XM, Wang J, Xiao K, Lv Y, Sun J, Yang XD, Chen C, Zhou W, Han J, Dong XP. Proteomic Analyses for the Global S-Nitrosylated Proteins in the Brain Tissues of Different Human Prion Diseases. Mol Neurobiol 2015; 53:5079-96. [PMID: 26392294 DOI: 10.1007/s12035-015-9440-7] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2015] [Accepted: 09/10/2015] [Indexed: 01/03/2023]
Abstract
Human prion diseases are fatal neurodegenerative disorders characterized by neuronal damage in brain. Protein S-nitrosylation, the covalent adduction of a NO to cysteine, plays a role in human brain biology, and brain dysfunction is a prominent feature of prion disease, yet the direct brain targets of S-nitrosylation are largely unknown. We described the first proteomic analysis of global S-nitrosylation in brain tissues of sporadic Creutzfeldt-Jakob disease (sCJD), fatal familial insomnia (FFI), and genetic CJD with a substitution of valine for glycine at codon 114 of the prion protein gene (G114V gCJD) accompanying with normal control with isobaric tags for relative and absolute quantitation (iTRAQ) combined with a nano-HPLC/Q-Exactive mass spectrometry platform. In parallel, we used several approaches to provide quality control for the experimentally defined S-nitrosylated proteins. A total of 1509 S-nitrosylated proteins (SNO-proteins) were identified, and data are available via ProteomeXchange with identifier PXD002813. The cerebellum tissues appeared to contain more commonly differentially expressed SNO-proteins (DESPs) than cortex of sCJD, FFI, and gCJD. Three selected SNO-proteins were verified by Western blots, consistent with proteomics assays. Gene ontology analysis showed that more up-regulated DESPs were involved in metabolism, cell cytoskeleton/structure, and immune system both in the cortex and cerebellum, while more down-regulated ones in both regions were involved in cell cytoskeleton/structure, cell-cell communication, and miscellaneous function protein. Pathway analysis suggested that systemic lupus erythematosus, pathogenic Escherichia coli infection, and extracellular matrix-receptor interaction were the most commonly affected pathways, which were identified from at least two different diseases. Using STRING database, the network of immune system and cell cytoskeleton and structure were commonly identified in the context of the up-regulated and down-regulated DESPs, respectively, both in the cortex and cerebellum. Our study thus have implications for understanding the molecular mechanisms of human prion diseases related to abnormal protein S-nitrosylation and pave the way for future studies focused on potential biomarkers for the diagnosis and therapy of human prion diseases.
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Affiliation(s)
- Li-Na Chen
- State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Zhejiang University, Hangzhou, 310003, China.,National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Chang-Bai Rd 155, Beijing, 102206, People's Republic of China
| | - Qi Shi
- State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Zhejiang University, Hangzhou, 310003, China.,National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Chang-Bai Rd 155, Beijing, 102206, People's Republic of China
| | - Bao-Yun Zhang
- State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Zhejiang University, Hangzhou, 310003, China.,National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Chang-Bai Rd 155, Beijing, 102206, People's Republic of China
| | - Xiao-Mei Zhang
- State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Zhejiang University, Hangzhou, 310003, China.,National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Chang-Bai Rd 155, Beijing, 102206, People's Republic of China
| | - Jing Wang
- State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Zhejiang University, Hangzhou, 310003, China.,National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Chang-Bai Rd 155, Beijing, 102206, People's Republic of China
| | - Kang Xiao
- State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Zhejiang University, Hangzhou, 310003, China.,National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Chang-Bai Rd 155, Beijing, 102206, People's Republic of China
| | - Yan Lv
- State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Zhejiang University, Hangzhou, 310003, China.,National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Chang-Bai Rd 155, Beijing, 102206, People's Republic of China
| | - Jing Sun
- State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Zhejiang University, Hangzhou, 310003, China.,National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Chang-Bai Rd 155, Beijing, 102206, People's Republic of China
| | - Xiao-Dong Yang
- State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Zhejiang University, Hangzhou, 310003, China.,National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Chang-Bai Rd 155, Beijing, 102206, People's Republic of China
| | - Cao Chen
- State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Zhejiang University, Hangzhou, 310003, China.,National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Chang-Bai Rd 155, Beijing, 102206, People's Republic of China
| | - Wei Zhou
- State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Zhejiang University, Hangzhou, 310003, China.,National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Chang-Bai Rd 155, Beijing, 102206, People's Republic of China
| | - Jun Han
- State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Zhejiang University, Hangzhou, 310003, China.,National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Chang-Bai Rd 155, Beijing, 102206, People's Republic of China
| | - Xiao-Ping Dong
- State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Zhejiang University, Hangzhou, 310003, China. .,National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Chang-Bai Rd 155, Beijing, 102206, People's Republic of China. .,Chinese Academy of Sciences Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, 100101, China.
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18
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Shi Q, Chen LN, Zhang BY, Xiao K, Zhou W, Chen C, Zhang XM, Tian C, Gao C, Wang J, Han J, Dong XP. Proteomics analyses for the global proteins in the brain tissues of different human prion diseases. Mol Cell Proteomics 2015; 14:854-69. [PMID: 25616867 PMCID: PMC4390265 DOI: 10.1074/mcp.m114.038018] [Citation(s) in RCA: 48] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2014] [Indexed: 01/28/2023] Open
Abstract
Proteomics changes of brain tissues have been described in different neurodegenerative diseases including Alzheimer's disease and Parkinson's disease. However, the brain proteomics of human prion disease remains less understood. In the study, the proteomics patterns of cortex and cerebellum of brain tissues of sporadic Creutzfeldt-Jakob disease, fatal familial insomnia, and G114V genetic CJD were analyzed with isobaric tags for relative and absolute quantitation combined with multidimensional liquid chromatography and MS analysis, with the brains from three normal individuals as controls. Global protein profiling, significant pathway, and functional categories were analyzed. In total, 2287 proteins were identified with quantitative information both in cortex and cerebellum regions. Cerebellum tissues appeared to contain more up- and down-regulated proteins (727 proteins) than cortex regions (312 proteins) of Creutzfeldt-Jakob disease, fatal familial insomnia, and G114V genetic CJD. Viral myocarditis, Parkinson's disease, Alzheimer's disease, lysosome, oxidative phosphorylation, protein export, and drug metabolism-cytochrome P450 were the most commonly affected pathways of the three kinds of diseases. Almost coincident biological functions were identified in the brain tissues of the three diseases. In all, data here demonstrate that the brain tissues of Creutzfeldt-Jakob disease, fatal familial insomnia, and G114V genetic CJD have obvious proteomics changes at their terminal stages, which show the similarities not only among human prion diseases but also with other neurodegeneration diseases. This is the first study to provide a reference proteome map for human prion diseases and will be helpful for future studies focused on potential biomarkers for the diagnosis and therapy of human prion diseases.
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Affiliation(s)
- Qi Shi
- From the ‡State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases (Zhejiang University, Hangzhou 310003), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Chang-Bai Rd 155, Beijing 102206, People's Republic of China
| | - Li-Na Chen
- From the ‡State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases (Zhejiang University, Hangzhou 310003), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Chang-Bai Rd 155, Beijing 102206, People's Republic of China
| | - Bao-Yun Zhang
- From the ‡State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases (Zhejiang University, Hangzhou 310003), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Chang-Bai Rd 155, Beijing 102206, People's Republic of China
| | - Kang Xiao
- From the ‡State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases (Zhejiang University, Hangzhou 310003), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Chang-Bai Rd 155, Beijing 102206, People's Republic of China
| | - Wei Zhou
- From the ‡State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases (Zhejiang University, Hangzhou 310003), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Chang-Bai Rd 155, Beijing 102206, People's Republic of China
| | - Cao Chen
- From the ‡State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases (Zhejiang University, Hangzhou 310003), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Chang-Bai Rd 155, Beijing 102206, People's Republic of China
| | - Xiao-Mei Zhang
- From the ‡State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases (Zhejiang University, Hangzhou 310003), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Chang-Bai Rd 155, Beijing 102206, People's Republic of China
| | - Chan Tian
- From the ‡State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases (Zhejiang University, Hangzhou 310003), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Chang-Bai Rd 155, Beijing 102206, People's Republic of China
| | - Chen Gao
- From the ‡State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases (Zhejiang University, Hangzhou 310003), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Chang-Bai Rd 155, Beijing 102206, People's Republic of China
| | - Jing Wang
- From the ‡State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases (Zhejiang University, Hangzhou 310003), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Chang-Bai Rd 155, Beijing 102206, People's Republic of China
| | - Jun Han
- From the ‡State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases (Zhejiang University, Hangzhou 310003), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Chang-Bai Rd 155, Beijing 102206, People's Republic of China
| | - Xiao-Ping Dong
- From the ‡State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases (Zhejiang University, Hangzhou 310003), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Chang-Bai Rd 155, Beijing 102206, People's Republic of China; §Chinese Academy of Sciences Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
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19
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Shi Q, Xie WL, Zhang B, Chen LN, Xu Y, Wang K, Ren K, Zhang XM, Chen C, Zhang J, Dong XP. Brain microglia were activated in sporadic CJD but almost unchanged in fatal familial insomnia and G114V genetic CJD. Virol J 2013; 10:216. [PMID: 23816234 PMCID: PMC3716817 DOI: 10.1186/1743-422x-10-216] [Citation(s) in RCA: 30] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2013] [Accepted: 06/20/2013] [Indexed: 01/09/2023] Open
Abstract
Background Microglial activations have been described in different subtypes of human prion diseases such as sporadic Creutzfeldt-Jakob disease (CJD), variant CJD, Kuru and Gerstmann-Sträussler-Scheinker disease (GSS). However, the situation of microglia in other genetic prion diseases such as fatal familial insomnia (FFI) and familial CJD remains less understood. The brain microglia was evaluated comparatively between the FFI, G114V and sCJD cases in the study. Methods Specific Western blots, immunohistochemical and immunofluorescent assays were used to detect the changes of microglia and ELISA tests were used for levels of inflammatory cytokines. Results Western blots, immunohistochemical and immunofluorescent assays illustrated almost unchanged microglia in the temporal lobes of FFI and G114V gCJD, but obviously increased in those of sCJD. The Iba1-levels maintained comparable in six different brain regions of FFI and G114V cases, including thalamus, cingulate gyrus, frontal cortex, parietal cortex, occipital cortex and temporal cortex. ELISA tests for inflammatory cytokines revealed significantly up-regulated IL-1β, IL-6 and TNF-α in the brain homogenates from sCJD, but not in those from FFI and G114V gCJD. Conclusion Data here demonstrates silent brain microglia in FFI and G114V gCJD but obviously increased in sCJD, which reflects various pathogenesis of different human prion diseases subtypes.
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Affiliation(s)
- Qi Shi
- State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases (Hangzhou), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Chang-Bai Rd 155, Beijing 102206, People's Republic of China
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20
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Xie WL, Shi Q, Zhang J, Zhang BY, Gong HS, Guo Y, Wang SB, Xu Y, Wang K, Chen C, Liu Y, Dong XP. Abnormal activation of microglia accompanied with disrupted CX3CR1/CX3CL1 pathway in the brains of the hamsters infected with scrapie agent 263K. J Mol Neurosci 2013; 51:919-32. [PMID: 23526370 DOI: 10.1007/s12031-013-0002-z] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2012] [Accepted: 03/11/2013] [Indexed: 10/27/2022]
Abstract
Microglial cells are resident mononuclear phagocytes of the central nervous system (CNS). Active proliferation of microglia in the brain has been identified in neurodegenerative disorders, including some kinds of prion disease. However, the detailed regional distribution between microglia and PrP(Sc) deposition has not been presented, and investigation of fractalkine signaling which is involved in the regulation of activation of microglia in prion disease is not well documented. In this study, the disease phenomenon of microglial accumulation in the CNS was thoroughly analyzed using a scrapie-infected experimental model. Western blots of microglia-specific markers Iba1 and CD68, immunohistochemical and immunofluorescent assays demonstrated obviously activation of microglia in almost whole brain regions in the infected animals. Under the dynamic analysis on hallmarks of activation of microglia, a time-dependent increase of Iba1 and CD68 was detected, accompanied by accumulation of PrP(Sc) and progression of neurodegenerative symptoms. With serial brain sections and double staining of Iba1 and PrP(Sc), we observed that the microglia distributed around PrP(Sc) deposits in 263K-infected hamsters' brains, proposing PrP(Sc) phagocytosis. Flow cytometry assays with the single-cell suspensions prepared from the cortical region of the infected brains verified an activation of microglial population. ELISA assays of the cytokines in brain homogenates revealed significant upregulations of interleukin (IL)-1β, IL-6 and TNF-α when infected. Evaluation of fractalkine signaling in the infected hamsters' brains showed progressively downregulation of CX3CL1 during the incubation. Prion peptide PrP106-126 also disrupted fractalkine and evoked microglial activation in rat primary neuron-glia mixed cultures. Our data here demonstrate an activated status of microglia in CNS tissues of infectious prion disease, possibly through fractalkine signaling deficiency.
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Affiliation(s)
- Wu-Ling Xie
- School of Medicine, Xi'an Jiaotong University, Xi'an, 710061, People's Republic of China
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21
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Comparative analysis of gene expression profiles between cortex and thalamus in Chinese fatal familial insomnia patients. Mol Neurobiol 2013; 48:36-48. [PMID: 23430483 DOI: 10.1007/s12035-013-8426-6] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2012] [Accepted: 02/05/2013] [Indexed: 12/11/2022]
Abstract
Fatal familial insomnia (FFI) is a special subtype of genetic human prion diseases that is caused by the D178N mutation of the prion protein gene (PRNP). According to the surveillance data from 2006, FFI accounts for about half of all genetic prion disease cases in China. In this study, global expression patterns of the thalamus and parietal cortex from three patients with FFI were analyzed by Affymetrix Human Genome U133+ 2.0 chip. A total of 1,314 genes in the thalamus and 332 ones in the parietal lobe were determined to be differentially expressed genes (DEGs). The percentage of upregulated DEGs is much less in the thalamus (19.3 %) than that in the parietal lobe (42.8 %). Moreover, 255 of those DEGs showed the same altering tendencies in both tested regions, including 99 upregulated and 156 downregulated ones. The reliability of the results was confirmed by the real-time RT-PCR assays. There were 1,152 and 531 biological processes affected in the thalamus and the parietal lobe, respectively, as well as 391 overlapping ones in both regions. The most significantly changed molecular functions included transcription and DNA-dependent regulation of transcription, RNA splicing, mitochondrial electron transport, etc. The changed functions in the thalamus contained more numbers of DEGs than parietal lobe. According to KEGG classification, there were 167 and 115 different pathways changed in the thalamus and the parietal lobe, respectively, while 102 were changed in both. Interestingly, the top three changed pathways in the three groups mentioned above were Parkinson's disease, Alzheimer's disease, and oxidative phosphorylation. These results demonstrate the greater damage in the thalamus than in the parietal lobe during FFI pathogenesis, which is consistent with previous pathological observations. This study aims to describe the global expression profiles in various brain regions of FFI while proposing useful clues for understanding the pathogenesis of FFI and selecting potential biomarkers for diagnostic and therapeutic tools.
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22
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Xie WL, Shi Q, Xia SL, Zhang BY, Gong HS, Wang SB, Xu Y, Guo Y, Tian C, Zhang J, Xu BL, Liu Y, Dong XP. Comparison of the pathologic and pathogenic features in six different regions of postmortem brains of three patients with fatal familial insomnia. Int J Mol Med 2012; 31:81-90. [PMID: 23175354 DOI: 10.3892/ijmm.2012.1194] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2012] [Accepted: 10/05/2012] [Indexed: 11/05/2022] Open
Abstract
Fatal familial insomnia (FFI) is an autosomal dominant prion disease clinically characterized by rapidly progressive insomnia, prominent autonomic alterations and behavioral disturbance. The D178N mutation of the prion protein gene (PRNP) on chromosome 20 in conjunction with methionine at codon 129 is a molecular feature. Although the neuropathological characteristics of FFI are well documented, the neuropathologic and pathogenic features of FFI patients remain poorly understood. Six brain regions of postmortem brains from 3 FFI patients were examined using immunohistochemistry, western blot analyses and quantitative real-time PCR. In all 3 brain specimens, reactive astrogliosis was found to be more severe in the thalamus than in the cortex regions. Western blot analyses showed that all three brains expressed PrP, but only 2 were associated with significantly weak proteinase K (PK) resistance. However, the conformational stabilities of PrPSc in the 3 FFI brains were significantly weaker than those presented in a G114V genetic Creutzfeldt-Jakob disease (gCJD) case. Immunohistochemistry and western blot analyses showed comparable amounts of neuron-specific enolase (NSE)-positive stained cells and NSE protein among the different regions in the three brains. In addition, the transcriptional levels of glial fibrillary acidic protein (GFAP) and NSE-specific mRNAs were coincident with the expression of these proteins. In conclusion, in the present study, we described the detailed regional neuropathology of FFI cases.
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Affiliation(s)
- Wu-Ling Xie
- School of Medicine, Xi'an Jiao Tong University, Xi'an, Shaanxi 710061, PR China
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GONG HANSHI, GUO YAN, TIAN CHAN, XIE WULING, SHI QI, ZHANG JIN, XU YIN, WANG SHAOBIN, ZHANG BAOYUN, CHEN CAO, LIU YONG, DONG XIAOPING. Reduction of protein kinase MARK4 in the brains of experimental scrapie rodents and human prion disease correlates with deposits of PrPSc. Int J Mol Med 2012; 30:569-78. [DOI: 10.3892/ijmm.2012.1025] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2012] [Accepted: 05/14/2012] [Indexed: 11/06/2022] Open
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Guo Y, Gong HS, Zhang J, Xie WL, Tian C, Chen C, Shi Q, Wang SB, Xu Y, Zhang BY, Dong XP. Remarkable reduction of MAP2 in the brains of scrapie-infected rodents and human prion disease possibly correlated with the increase of calpain. PLoS One 2012; 7:e30163. [PMID: 22272295 PMCID: PMC3260227 DOI: 10.1371/journal.pone.0030163] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2011] [Accepted: 12/11/2011] [Indexed: 11/19/2022] Open
Abstract
Microtubule-associated protein 2 (MAP2) belongs to the family of heat stable MAPs, which takes part in neuronal morphogenesis, maintenance of cellular architecture and internal organization, cell division and cellular processes. To obtain insight into the possible alteration and the role of MAP2 in transmissible spongiform encephalopathies (TSEs), the MAP2 levels in the brain tissues of agent 263K-infected hamsters and human prion diseases were evaluated. Western blots and IHC revealed that at the terminal stages of the diseases, MAP2 levels in the brain tissues of scrapie infected hamsters, a patient with genetic Creutzfeldt-Jakob disease (G114V gCJD) and a patient with fatal familial insomnia (FFI) were almost undetectable. The decline of MAP2 was closely related with prolonged incubation time. Exposure of SK-N-SH neuroblastoma cell line to cytotoxic PrP106-126 peptide significantly down-regulated the cellular MAP2 level and remarkably disrupted the microtubule structure, but did not alter the level of tubulin. Moreover, the levels of calpain, which mediated the degradation of a broad of cytoskeletal proteins, were significantly increased in both PrP106-126 treated SK-N-SH cells and brain tissues of 263K prion-infected hamsters. Our data indicate that the decline of MAP2 is a common phenomenon in TSEs, which seems to occur at an early stage of incubation period. Markedly increased calpain level might contribute to the reduction of MAP2.
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Affiliation(s)
- Yan Guo
- State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People's Republic of China
| | - Han-Shi Gong
- State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People's Republic of China
| | - Jin Zhang
- State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People's Republic of China
- * E-mail: (JZ); (X-PD)
| | - Wu-Ling Xie
- State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People's Republic of China
| | - Chan Tian
- State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People's Republic of China
| | - Cao Chen
- State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People's Republic of China
| | - Qi Shi
- State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People's Republic of China
| | - Shao-Bin Wang
- State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People's Republic of China
| | - Yin Xu
- State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People's Republic of China
| | - Bao-Yun Zhang
- State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People's Republic of China
| | - Xiao-Ping Dong
- State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People's Republic of China
- * E-mail: (JZ); (X-PD)
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Gao C, Shi Q, Tian C, Chen C, Han J, Zhou W, Zhang BY, Jiang HY, Zhang J, Dong XP. The epidemiological, clinical, and laboratory features of sporadic Creutzfeldt-Jakob disease patients in China: surveillance data from 2006 to 2010. PLoS One 2011; 6:e24231. [PMID: 21904617 PMCID: PMC3164193 DOI: 10.1371/journal.pone.0024231] [Citation(s) in RCA: 51] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2011] [Accepted: 08/03/2011] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND Creutzfeldt-Jakob disease (CJD) is a rare, rapidly progressive fatal central nervous system disorder, which consists of three main catalogues: sporadic, familial, and iatrogenic CJD. METHODOLOGY/PRINCIPAL FINDINGS In China, the surveillance for CJD started in 2006, covering 12 provincial Centers for Disease Control and Prevention (CDCs) and 15 hospitals. From 2006 to 2010, 624 suspected patients were referred to China CJD surveillance. The epidemiological, clinical and laboratory features of sporadic CJD (sCJD) were analysed. Both groups of probable and possible sCJD showed highest incidences in the population of 60 to 69 year-olds. The most common presenting symptoms were progressive dementia and mental-related symptoms (neurological symptoms including sleeping turbulence, depression, anxiety and stress). Among the four main clinical manifestations, myoclonus was more frequently observed in the probable sCJD patients. About 2/3 of probable sCJD cases showed positive 14-3-3 in CSF and/or periodic sharp wave complexes (PSWC) in electroencephalography (EEG). The presence of myoclonus was significantly closely related with the appearance of PSWC in EEG. Polymorphisms of codon 129 in PRNP of the notified cases revealed a highly predominant M129M genotype in Han Chinese. Among 23 genetic human prion diseases, ten were D178N/M129M Fatal familial insomnia (FFI) and five were T188K genetic CJD (gCJD), possibly indicating a special distribution of gCJD-related mutations in Han Chinese. CONCLUSION From the period of 2006 to 2010, 261 patients were diagnosed as sCJD and 23 patients were diagnosed as genetic human prion diseases in China. The epidemiological, clinical and laboratory analysis data were consistent with the characteristics of sporadic CJD, which provide insight into the features of CJD in China.
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Affiliation(s)
- Chen Gao
- State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People's Republic of China
| | - Qi Shi
- State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People's Republic of China
| | - Chan Tian
- State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People's Republic of China
| | - Cao Chen
- State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People's Republic of China
| | - Jun Han
- State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People's Republic of China
| | - Wei Zhou
- State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People's Republic of China
| | - Bao-Yun Zhang
- State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People's Republic of China
| | - Hui-Ying Jiang
- State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People's Republic of China
| | - Jin Zhang
- State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People's Republic of China
| | - Xiao-Ping Dong
- State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People's Republic of China
- * E-mail:
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Shi Q, Chen C, Song XN, Gao C, Tian C, Zhou W, Song XH, Yao LS, Han J, Dong XP. A Chinese Creutzfeldt-Jakob disease patient with E196K mutation in PRNP. Prion 2011; 5:117-20. [PMID: 21597335 DOI: 10.4161/pri.5.2.15846] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
Genetic Creutzfeldt-Jakob disease (gCJD) is caused by a range of mutations in the prion protein gene (PRNP) and account for approximately 10-15% of overall human prion diseases worldwide. They are different with disease onset, disease duration, clinical signs and diagnostic findings. Here we reported a 71 year-old female with an E196K mutation in one PRNP allele, while the codon 129 was a methionine homozygous genotype. The patient started with non-specific symptoms, but displayed rapidly progressive disturbances of speech, memory, cognitive and physical movement. No periodic activity was recorded at electroencephalography (EEG) during the entire disease course. Retrospective investigation of her family members did not reveal similar neurological disorders. Total clinical course was about seven months.
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Affiliation(s)
- Qi Shi
- State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
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