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Nan H, Kim YJ, Chu M, Li D, Li J, Jiang D, Wu Y, Ohtsuka T, Wu L. Genetic and clinical landscape of Chinese frontotemporal dementia: dominance of TBK1 and OPTN mutations. Alzheimers Res Ther 2024; 16:127. [PMID: 38872230 PMCID: PMC11170894 DOI: 10.1186/s13195-024-01493-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2024] [Accepted: 06/07/2024] [Indexed: 06/15/2024]
Abstract
BACKGROUND Our study aims to evaluate the genetic and phenotypic spectrum of Frontotemporal dementia (FTD) gene variant carriers in Chinese populations, investigate mutation frequencies, and assess the functional properties of TBK1 and OPTN variants. METHODS Clinically diagnosed FTD patients underwent genetic analysis through exome sequencing, repeat-primed polymerase chain reaction, and Sanger sequencing. TBK1 and OPTN variants were biologically characterized in vitro using immunofluorescence, immunoprecipitation, and immunoblotting analysis. The frequencies of genes implicated in FTD in China were analyzed through a literature review and meta-analysis. RESULTS Of the 261 Chinese FTD patients, 61 (23.4%) carried potential causative variants in FTD-related genes, including MAPT (n = 17), TBK1 (n = 7), OPTN (n = 6), GRN (n = 6), ANXA11 (n = 4), CHMP2B (n = 3), C9orf72 GGGGCC repeats (n = 2), CYLD (n = 2), PRNP (n = 2), SQSTM1 (n = 2), TARDBP (n = 2), VCP (n = 1), CCNF (n = 1), CHCHD10 (n = 1), SIGMAR1 (n = 1), CHCHD2 (n = 1), FUS (n = 1), TMEM106B (n = 1), and UBQLN2 (n = 1). 29 variants can be considered novel, including the MAPT p.D54N, p.E342K, p.R221P, p.T263I, TBK1 p.E696G, p.I37T, p.E232Q, p.S398F, p.T78A, p.Q150P, p.W259fs, OPTN p.R144G, p.F475V, GRN p.V473fs, p.C307fs, p.R101fs, CHMP2B p.K6N, p.R186Q, ANXA11 p.Q155*, CYLD p.T157I, SQSTM1 p.S403A, UBQLN2 p.P509H, CCNF p.S160N, CHCHD10 p.A8T, SIGMAR1 p.S117L, CHCHD2 p.P53fs, FUS p.S235G & p.S236G, and TMEM106B p.L144V variants. Patients with TBK1 and OPTN variants presented with heterogeneous clinical phenotypes. Functional analysis demonstrated that TBK1 I37T and E232Q mutants showed decreased autophosphorylation, and the OPTN phosphorylation was reduced by the TBK1 I37T mutant. The OPTN-TBK1 complex formation was enhanced by the TBK1 E696G mutant, while OPTN R144G and F475V mutants exhibited reduced recruitment to autophagosomes compared to the wild-type. The overall frequency of TBK1 and OPTN in Chinese FTD patients was 2.0% and 0.3%, respectively. CONCLUSIONS Our study demonstrates the extensive genetic and phenotypic heterogeneity of Chinese FTD patients. TBK1 mutations are the second most frequent cause of clinical FTD after MAPT in the Chinese.
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Affiliation(s)
- Haitian Nan
- Department of Neurology, Xuanwu Hospital, Capital Medical University, 45 Changchun Street, Beijing, 100053, China
| | - Yeon-Jeong Kim
- Department of Biochemistry, Graduate School of Medical Sciences, University of Yamanashi, Yamanashi, 409-3898, Japan
| | - Min Chu
- Department of Neurology, Xuanwu Hospital, Capital Medical University, 45 Changchun Street, Beijing, 100053, China
| | - Dan Li
- Department of Neurology, Xuanwu Hospital, Capital Medical University, 45 Changchun Street, Beijing, 100053, China
| | - Jieying Li
- Sichuan Provincial Center for Mental Health, Sichuan Academy of Medical Science & Sichuan Provincial People's Hospital, Chengdu, 610072, China
| | - Deming Jiang
- Department of Neurology, Xuanwu Hospital, Capital Medical University, 45 Changchun Street, Beijing, 100053, China
| | - Yiming Wu
- The Experimental High School Attached to Beijing Normal University, Beijing, 100032, China
| | - Toshihisa Ohtsuka
- Department of Biochemistry, Graduate School of Medical Sciences, University of Yamanashi, Yamanashi, 409-3898, Japan.
| | - Liyong Wu
- Department of Neurology, Xuanwu Hospital, Capital Medical University, 45 Changchun Street, Beijing, 100053, China.
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Li Y, Yang Z, Zhang Y, Liu F, Xu J, Meng Y, Xing G, Ruan X, Sun J, Zhang N. Genetic Screening of Patients with Sporadic Alzheimer's Disease and Frontotemporal Lobar Degeneration in the Chinese Population. J Alzheimers Dis 2024; 99:577-593. [PMID: 38701145 DOI: 10.3233/jad-231361] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/05/2024]
Abstract
Background Alzheimer's disease (AD) and frontotemporal lobar degeneration (FTLD) account for the vast majority of neurodegenerative dementias. AD and FTLD have different clinical phenotypes with a genetic overlap between them and other dementias. Objective This study aimed to identify the genetic spectrum of sporadic AD and FTLD in the Chinese population. Methods A total of 74 sporadic AD and 29 sporadic FTLD participants were recruited. All participants underwent whole-exome sequencing (WES) and testing for a hexanucleotide expansion in C9orf72 was additionally performed for participants with negative WES results. Results Four known pathogenic or likely pathogenic variants, including PSEN1 (p.G206D), MAPT (p.R5H), LRRK2 (p.W1434*), and CFAP43 (p.C934*), were identified in AD participants, and 1 novel pathogenic variant of ANXA11 (p.D40G) and two known likely pathogenic variants of MAPT (p.D177V) and TARDBP (p.I383V) were identified in FTLD participants. Twenty-four variants of uncertain significance as well as rare variants in risk genes for dementia, such as ABCA7, SORL1, TRPM7, NOS3, MPO, and DCTN1, were also found. Interestingly, several variants in participants with semantic variant primary progressive aphasia were detected. However, no participants with C9orf72 gene variants were found in the FTLD cohort. Conclusions There was a high frequency of genetic variants in Chinese participants with sporadic AD and FTLD and a complex genetic overlap between these two types of dementia and other neurodegenerative diseases.
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Affiliation(s)
- Yaoru Li
- Department of Neurology, Tianjin Neurological Institute, Tianjin Medical University General Hospital, Heping District, Tianjin, China
- Department Five of Neurology, Cangzhou Central Hospital, Yunhe District, Cangzhou, Hebei, China
| | - Ziying Yang
- College of Life Sciences, University of Chinese Academy of Sciences, Shijingshan District, Beijing, China
- Tianjin Medical Laboratory, BGI-Tianjin, BGI-Shenzhen, Tianjin, China
| | - Yanxin Zhang
- Department of Neurology, Tianjin Neurological Institute, Tianjin Medical University General Hospital, Heping District, Tianjin, China
| | - Fang Liu
- Department of Neurology, Tianjin Neurological Institute, Tianjin Medical University General Hospital, Heping District, Tianjin, China
| | - Jing Xu
- Department of Neurology, Tianjin Neurological Institute, Tianjin Medical University General Hospital, Heping District, Tianjin, China
| | - Yaping Meng
- Department of Neurology, Tianjin Neurological Institute, Tianjin Medical University General Hospital, Heping District, Tianjin, China
| | - Gebeili Xing
- Department of Neurology, Tianjin Neurological Institute, Tianjin Medical University General Hospital, Heping District, Tianjin, China
| | - Xuqin Ruan
- Tianjin Medical Laboratory, BGI-Tianjin, BGI-Shenzhen, Tianjin, China
| | - Jun Sun
- Tianjin Medical Laboratory, BGI-Tianjin, BGI-Shenzhen, Tianjin, China
| | - Nan Zhang
- Department of Neurology, Tianjin Neurological Institute, Tianjin Medical University General Hospital, Heping District, Tianjin, China
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Silvaieh S, König T, Wurm R, Parvizi T, Berger-Sieczkowski E, Goeschl S, Hotzy C, Wagner M, Berutti R, Sammler E, Stögmann E, Zimprich A. Comprehensive genetic screening of early-onset dementia patients in an Austrian cohort-suggesting new disease-contributing genes. Hum Genomics 2023; 17:55. [PMID: 37330543 PMCID: PMC10276391 DOI: 10.1186/s40246-023-00499-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Accepted: 05/31/2023] [Indexed: 06/19/2023] Open
Abstract
Early-onset dementia (EOD), with symptom onset before age 65, has a strong genetic burden. Due to genetic and clinical overlaps between different types of dementia, whole-exome sequencing (WES) has emerged as an appropriate screening method for diagnostic testing and novel gene-finding approaches. We performed WES and C9orf72 repeat testing in 60 well-defined Austrian EOD patients. Seven patients (12%) carried likely disease-causing variants in monogenic genes, PSEN1, MAPT, APP, and GRN. Five patients (8%) were APOE4 homozygote carriers. Definite and possible risk variants were detected in the genes TREM2, SORL1, ABCA7 and TBK1. In an explorative approach, we cross-checked rare gene variants in our cohort with a curated neurodegeneration candidate gene list and identified DCTN1, MAPK8IP3, LRRK2, VPS13C and BACE1 as promising candidate genes. Conclusively, 12 cases (20%) carried variants relevant to patient counseling, comparable to previously reported studies, and can thus be considered genetically resolved. Reduced penetrance, oligogenic inheritance and not yet identified high-risk genes might explain the high number of unresolved cases. To address this issue, we provide complete genetic and phenotypic information (uploaded to the European Genome-phenome Archive), enabling other researchers to cross-check variants. Thereby, we hope to increase the chance of independently finding the same gene/variant-hit in other well-defined EOD patient cohorts, thus confirming new genetic risk variants or variant combinations.
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Affiliation(s)
- Sara Silvaieh
- Department of Neurology, Medical University of Vienna, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
| | - Theresa König
- Department of Neurology, Medical University of Vienna, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
| | - Raphael Wurm
- Department of Neurology, Medical University of Vienna, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
| | - Tandis Parvizi
- Department of Neurology, Medical University of Vienna, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
| | - Evelyn Berger-Sieczkowski
- Department of Neurology, Medical University of Vienna, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
| | - Stella Goeschl
- Department of Neurology, Medical University of Vienna, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
| | - Christoph Hotzy
- Department of Neurology, Medical University of Vienna, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
| | - Matias Wagner
- Institute of Human Genetics, School of Medicine, Technical University of Munich, Munich, Germany
- Institute of Neurogenomics, Helmholtz Centrum, Munich, Germany
| | - Riccardo Berutti
- Institute of Human Genetics, School of Medicine, Technical University of Munich, Munich, Germany
| | - Esther Sammler
- Molecular and Clinical Medicine, Ninewells Hospital and Medical School, University of Dundee, Dundee, DD1 9SY, UK
- Medical Research Council Protein Phosphorylation and Ubiquitylation Unit, School of Life Sciences, University of Dundee, Dundee, DD1 5EH, UK
| | - Elisabeth Stögmann
- Department of Neurology, Medical University of Vienna, Vienna, Austria.
- Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria.
| | - Alexander Zimprich
- Department of Neurology, Medical University of Vienna, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
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Reitz C, Pericak-Vance MA, Foroud T, Mayeux R. A global view of the genetic basis of Alzheimer disease. Nat Rev Neurol 2023; 19:261-277. [PMID: 37024647 PMCID: PMC10686263 DOI: 10.1038/s41582-023-00789-z] [Citation(s) in RCA: 29] [Impact Index Per Article: 29.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/21/2023] [Indexed: 04/08/2023]
Abstract
The risk of Alzheimer disease (AD) increases with age, family history and informative genetic variants. Sadly, there is still no cure or means of prevention. As in other complex diseases, uncovering genetic causes of AD could identify underlying pathological mechanisms and lead to potential treatments. Rare, autosomal dominant forms of AD occur in middle age as a result of highly penetrant genetic mutations, but the most common form of AD occurs later in life. Large-scale, genome-wide analyses indicate that 70 or more genes or loci contribute to AD. One of the major factors limiting progress is that most genetic data have been obtained from non-Hispanic white individuals in Europe and North America, preventing the development of personalized approaches to AD in individuals of other ethnicities. Fortunately, emerging genetic data from other regions - including Africa, Asia, India and South America - are now providing information on the disease from a broader range of ethnicities. Here, we summarize the current knowledge on AD genetics in populations across the world. We predominantly focus on replicated genetic discoveries but also include studies in ethnic groups where replication might not be feasible. We attempt to identify gaps that need to be addressed to achieve a complete picture of the genetic and molecular factors that drive AD in individuals across the globe.
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Affiliation(s)
- Christiane Reitz
- The Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University, New York, NY, USA
- The Gertrude H. Sergievsky Center, Columbia University, New York, NY, USA
- Department of Neurology, Columbia University, New York, NY, USA
- Department of Epidemiology, Columbia University, New York, NY, USA
| | - Margaret A Pericak-Vance
- The John P. Hussman Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, FL, USA
- The Dr. John T. Macdonald Foundation Department of Human Genetics, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Tatiana Foroud
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
- National Centralized Repository for Alzheimer's Disease and Related Dementias, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Richard Mayeux
- The Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University, New York, NY, USA.
- The Gertrude H. Sergievsky Center, Columbia University, New York, NY, USA.
- Department of Neurology, Columbia University, New York, NY, USA.
- Department of Epidemiology, Columbia University, New York, NY, USA.
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Xu X, Ruan W, Liu F, Gai Y, Liu Q, Su Y, Liang Z, Sun X, Lan X. 18F-APN-1607 Tau Positron Emission Tomography Imaging for Evaluating Disease Progression in Alzheimer’s Disease. Front Aging Neurosci 2022; 13:789054. [PMID: 35221982 PMCID: PMC8868571 DOI: 10.3389/fnagi.2021.789054] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2021] [Accepted: 12/20/2021] [Indexed: 12/31/2022] Open
Abstract
Purpose 18F-APN-1607 is a novel tau positron emission tomography (PET) tracer characterized with high binding affinity for 3− and 4-repeat tau deposits. The aim was to analyze the spatial distribution of 18F-APN-1607 PET imaging in Alzheimer’s disease (AD) subjects with different stages and to investigate the relationship between the change of tau deposition and overall disease progression. Methods We retrospectively analyzed the 18F-APN-1607 PET imaging of 31 subjects with clinically and imaging defined as AD. According to the Mini-Mental State Examination (MMSE) score, patients were divided into three groups, namely, mild (≥21, n = 7), moderate (10–20, n = 16), and severe (≤9, n = 8). PET imaging was segmented to 70 regions of interest (ROIs) and extracted the standard uptake value (SUV) of each ROI. SUV ratio (SUVR) was calculated from the ratio of SUV in different brain regions to the cerebellar cortex. The regions were defined as positive and negative with unsupervised cluster analysis according to SUVR. The SUVRs of each region were compared among groups with the one-way ANOVA or Kruskal–Wallis H test. Furthermore, the correlations between MMSE score and regional SUVR were calculated with Pearson or Spearman correlation analysis. Results There were no significant differences among groups in gender (χ2 = 3.814, P = 0.161), age of onset (P = 0.170), age (P = 0.109), and education level (P = 0.065). With the disease progression, the 18F-APN-1607 PET imaging showed the spread of tau deposition from the hippocampus, posterior cingulate gyrus (PCG), and lateral temporal cortex (LTC) to the parietal and occipital lobes, and finally to the frontal lobe. Between the mild and moderate groups, the main brain areas with significant differences in 18F-APN-1607 uptake were supplementary motor area (SMA), cuneus, precuneus, occipital lobule, paracentral lobule, right angular gyrus, and parietal, which could be used for early disease progression assessment (P < 0.05). There were significant differences in the frontal lobe, right temporal lobe, and fusiform gyrus between the moderate and severe groups, which might be suitable for the late-stage disease progression assessment (P < 0.05). Conclusion 18F-APN-1607 PET may serve as an effective imaging marker for visualizing the change pattern of tau protein deposition in AD patients, and its uptake level in certain brain regions is closely related to the severity of cognitive impairment. These indicate the potential of 18F-APN-1607 PET for the in vivo evaluation of the progression of AD.
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Affiliation(s)
- Xiaojun Xu
- Department of Nuclear Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
| | - Weiwei Ruan
- Department of Nuclear Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
| | - Fang Liu
- Department of Nuclear Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
| | - Yongkang Gai
- Department of Nuclear Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
| | - Qingyao Liu
- Department of Nuclear Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
| | - Ying Su
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zhihou Liang
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xun Sun
- Department of Nuclear Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
- *Correspondence: Xun Sun,
| | - Xiaoli Lan
- Department of Nuclear Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
- Xiaoli Lan,
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