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Alves VC, Carro E, Figueiro-Silva J. Unveiling DNA methylation in Alzheimer's disease: a review of array-based human brain studies. Neural Regen Res 2024; 19:2365-2376. [PMID: 38526273 PMCID: PMC11090417 DOI: 10.4103/1673-5374.393106] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2023] [Accepted: 12/05/2023] [Indexed: 03/26/2024] Open
Abstract
The intricacies of Alzheimer's disease pathogenesis are being increasingly illuminated by the exploration of epigenetic mechanisms, particularly DNA methylation. This review comprehensively surveys recent human-centered studies that investigate whole genome DNA methylation in Alzheimer's disease neuropathology. The examination of various brain regions reveals distinctive DNA methylation patterns that associate with the Braak stage and Alzheimer's disease progression. The entorhinal cortex emerges as a focal point due to its early histological alterations and subsequent impact on downstream regions like the hippocampus. Notably, ANK1 hypermethylation, a protein implicated in neurofibrillary tangle formation, was recurrently identified in the entorhinal cortex. Further, the middle temporal gyrus and prefrontal cortex were shown to exhibit significant hypermethylation of genes like HOXA3, RHBDF2, and MCF2L, potentially influencing neuroinflammatory processes. The complex role of BIN1 in late-onset Alzheimer's disease is underscored by its association with altered methylation patterns. Despite the disparities across studies, these findings highlight the intricate interplay between epigenetic modifications and Alzheimer's disease pathology. Future research efforts should address methodological variations, incorporate diverse cohorts, and consider environmental factors to unravel the nuanced epigenetic landscape underlying Alzheimer's disease progression.
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Affiliation(s)
- Victoria Cunha Alves
- Neurodegenerative Diseases Group, Hospital Universitario 12 de Octubre Research Institute (imas12), Madrid, Spain
- Network Center for Biomedical Research, Neurodegenerative Diseases (CIBERNED), Madrid, Spain
- PhD Program in Neuroscience, Autonoma de Madrid University, Madrid, Spain
- Neurotraumatology and Subarachnoid Hemorrhage Group, Hospital Universitario 12 de Octubre Research Institute (imas12), Madrid, Spain
| | - Eva Carro
- Network Center for Biomedical Research, Neurodegenerative Diseases (CIBERNED), Madrid, Spain
- Neurobiology of Alzheimer's Disease Unit, Functional Unit for Research Into Chronic Diseases, Instituto de Salud Carlos III, Madrid, Spain
| | - Joana Figueiro-Silva
- Institute of Medical Genetics, University of Zurich, Zurich, Switzerland
- Department of Molecular Life Science, University of Zurich, Zurich, Switzerland
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2
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Shade LMP, Katsumata Y, Abner EL, Aung KZ, Claas SA, Qiao Q, Heberle BA, Brandon JA, Page ML, Hohman TJ, Mukherjee S, Mayeux RP, Farrer LA, Schellenberg GD, Haines JL, Kukull WA, Nho K, Saykin AJ, Bennett DA, Schneider JA, Ebbert MTW, Nelson PT, Fardo DW. GWAS of multiple neuropathology endophenotypes identifies new risk loci and provides insights into the genetic risk of dementia. Nat Genet 2024:10.1038/s41588-024-01939-9. [PMID: 39379761 DOI: 10.1038/s41588-024-01939-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Accepted: 08/30/2024] [Indexed: 10/10/2024]
Abstract
Genome-wide association studies (GWAS) have identified >80 Alzheimer's disease and related dementias (ADRD)-associated genetic loci. However, the clinical outcomes used in most previous studies belie the complex nature of underlying neuropathologies. Here we performed GWAS on 11 ADRD-related neuropathology endophenotypes with participants drawn from the following three sources: the National Alzheimer's Coordinating Center, the Religious Orders Study and Rush Memory and Aging Project, and the Adult Changes in Thought study (n = 7,804 total autopsied participants). We identified eight independent significantly associated loci, of which four were new (COL4A1, PIK3R5, LZTS1 and APOC2). Separately testing known ADRD loci, 19 loci were significantly associated with at least one neuropathology after false-discovery rate adjustment. Genetic colocalization analyses identified pleiotropic effects and quantitative trait loci. Methylation in the cerebral cortex at two sites near APOC2 was associated with cerebral amyloid angiopathy. Studies that include neuropathology endophenotypes are an important step in understanding the mechanisms underlying genetic ADRD risk.
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Affiliation(s)
- Lincoln M P Shade
- Department of Biostatistics, College of Public Health, University of Kentucky, Lexington, KY, USA
| | - Yuriko Katsumata
- Department of Biostatistics, College of Public Health, University of Kentucky, Lexington, KY, USA
- Sanders-Brown Center on Aging and Alzheimer's Disease Research Center, University of Kentucky, Lexington, KY, USA
| | - Erin L Abner
- Sanders-Brown Center on Aging and Alzheimer's Disease Research Center, University of Kentucky, Lexington, KY, USA
- Department of Epidemiology and Environmental Health, College of Public Health, University of Kentucky, Lexington, KY, USA
| | - Khine Zin Aung
- Department of Biostatistics, College of Public Health, University of Kentucky, Lexington, KY, USA
- Sanders-Brown Center on Aging and Alzheimer's Disease Research Center, University of Kentucky, Lexington, KY, USA
| | - Steven A Claas
- Department of Biostatistics, College of Public Health, University of Kentucky, Lexington, KY, USA
| | - Qi Qiao
- Department of Biostatistics, College of Public Health, University of Kentucky, Lexington, KY, USA
- Sanders-Brown Center on Aging and Alzheimer's Disease Research Center, University of Kentucky, Lexington, KY, USA
| | - Bernardo Aguzzoli Heberle
- Sanders-Brown Center on Aging and Alzheimer's Disease Research Center, University of Kentucky, Lexington, KY, USA
- Department of Neuroscience, University of Kentucky College of Medicine, Lexington, KY, USA
| | - J Anthony Brandon
- Sanders-Brown Center on Aging and Alzheimer's Disease Research Center, University of Kentucky, Lexington, KY, USA
- Department of Neuroscience, University of Kentucky College of Medicine, Lexington, KY, USA
| | - Madeline L Page
- Sanders-Brown Center on Aging and Alzheimer's Disease Research Center, University of Kentucky, Lexington, KY, USA
- Department of Neuroscience, University of Kentucky College of Medicine, Lexington, KY, USA
| | - Timothy J Hohman
- Vanderbilt Memory and Alzheimer's Center, Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA
| | | | - Richard P Mayeux
- Department of Neurology, Columbia University, New York City, NY, USA
| | - Lindsay A Farrer
- Department of Medicine (Biomedical Genetics), Boston University Chobanian and Avedisian School of Medicine, Boston, MA, USA
- Department of Neurology, Boston University Chobanian and Avedisian School of Medicine, Boston, MA, USA
- Department of Ophthalmology, Boston University Chobanian and Avedisian School of Medicine, Boston, MA, USA
- Department of Biostatistics, School of Public Health, Boston University, Boston, MA, USA
- Department of Epidemiology, School of Public Health, Boston University, Boston, MA, USA
| | - Gerard D Schellenberg
- Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Penn Neurodegeneration Genomics Center, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Jonathan L Haines
- Cleveland Institute for Computational Biology, Case Western Reserve University, Cleveland, OH, USA
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA
| | - Walter A Kukull
- National Alzheimer's Coordinating Center, Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Kwangsik Nho
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, USA
- Indiana Alzheimer's Disease Research Center, Indiana University School of Medicine, Indianapolis, IN, USA
- Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Andrew J Saykin
- Indiana Alzheimer's Disease Research Center, Indiana University School of Medicine, Indianapolis, IN, USA
- Center for Neuroimaging, Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, USA
| | - David A Bennett
- Department of Neurological Sciences, Rush Medical College, Chicago, IL, USA
- Rush Alzheimer's Disease Center, Rush Medical College, Chicago, IL, USA
| | - Julie A Schneider
- Department of Neurological Sciences, Rush Medical College, Chicago, IL, USA
- Rush Alzheimer's Disease Center, Rush Medical College, Chicago, IL, USA
- Department of Pathology, Rush Medical College, Chicago, IL, USA
| | - Mark T W Ebbert
- Sanders-Brown Center on Aging and Alzheimer's Disease Research Center, University of Kentucky, Lexington, KY, USA
- Department of Neuroscience, University of Kentucky College of Medicine, Lexington, KY, USA
- Division of Biomedical Informatics, Department of Internal Medicine, University of Kentucky College of Medicine, Lexington, KY, USA
| | - Peter T Nelson
- Sanders-Brown Center on Aging and Alzheimer's Disease Research Center, University of Kentucky, Lexington, KY, USA
- Department of Pathology and Laboratory Medicine, University of Kentucky College of Medicine, Lexington, KY, USA
| | - David W Fardo
- Department of Biostatistics, College of Public Health, University of Kentucky, Lexington, KY, USA.
- Sanders-Brown Center on Aging and Alzheimer's Disease Research Center, University of Kentucky, Lexington, KY, USA.
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3
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Nho K, Risacher SL, Apostolova LG, Bice PJ, Brosch JR, Deardorff R, Faber K, Farlow MR, Foroud T, Gao S, Rosewood T, Kim JP, Nudelman K, Yu M, Aisen P, Sperling R, Hooli B, Shcherbinin S, Svaldi D, Jack CR, Jagust WJ, Landau S, Vasanthakumar A, Waring JF, Doré V, Laws SM, Masters CL, Porter T, Rowe CC, Villemagne VL, Dumitrescu L, Hohman TJ, Libby JB, Mormino E, Buckley RF, Johnson K, Yang HS, Petersen RC, Ramanan VK, Ertekin-Taner N, Vemuri P, Cohen AD, Fan KH, Kamboh MI, Lopez OL, Bennett DA, Ali M, Benzinger T, Cruchaga C, Hobbs D, De Jager PL, Fujita M, Jadhav V, Lamb BT, Tsai AP, Castanho I, Mill J, Weiner MW, Saykin AJ. CYP1B1-RMDN2 Alzheimer's disease endophenotype locus identified for cerebral tau PET. Nat Commun 2024; 15:8251. [PMID: 39304655 PMCID: PMC11415491 DOI: 10.1038/s41467-024-52298-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2023] [Accepted: 09/01/2024] [Indexed: 09/22/2024] Open
Abstract
Determining the genetic architecture of Alzheimer's disease pathologies can enhance mechanistic understanding and inform precision medicine strategies. Here, we perform a genome-wide association study of cortical tau quantified by positron emission tomography in 3046 participants from 12 independent studies. The CYP1B1-RMDN2 locus is associated with tau deposition. The most significant signal is at rs2113389, explaining 4.3% of the variation in cortical tau, while APOE4 rs429358 accounts for 3.6%. rs2113389 is associated with higher tau and faster cognitive decline. Additive effects, but no interactions, are observed between rs2113389 and diagnosis, APOE4, and amyloid beta positivity. CYP1B1 expression is upregulated in AD. rs2113389 is associated with higher CYP1B1 expression and methylation levels. Mouse model studies provide additional functional evidence for a relationship between CYP1B1 and tau deposition but not amyloid beta. These results provide insight into the genetic basis of cerebral tau deposition and support novel pathways for therapeutic development in AD.
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Affiliation(s)
- Kwangsik Nho
- Center for Neuroimaging, Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, USA
- Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, USA
- Indiana Alzheimer's Disease Research Center, Indiana University School of Medicine, Indianapolis, USA
- Department of BioHealth Informatics, Indiana University, Indianapolis, USA
| | - Shannon L Risacher
- Center for Neuroimaging, Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, USA
- Indiana Alzheimer's Disease Research Center, Indiana University School of Medicine, Indianapolis, USA
| | - Liana G Apostolova
- Center for Neuroimaging, Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, USA
- Indiana Alzheimer's Disease Research Center, Indiana University School of Medicine, Indianapolis, USA
- Department of Neurology, Indiana University School of Medicine, Indianapolis, USA
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, USA
| | - Paula J Bice
- Center for Neuroimaging, Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, USA
- Indiana Alzheimer's Disease Research Center, Indiana University School of Medicine, Indianapolis, USA
| | - Jared R Brosch
- Indiana Alzheimer's Disease Research Center, Indiana University School of Medicine, Indianapolis, USA
- Department of Neurology, Indiana University School of Medicine, Indianapolis, USA
| | - Rachael Deardorff
- Indiana Alzheimer's Disease Research Center, Indiana University School of Medicine, Indianapolis, USA
- Department of Neurology, Indiana University School of Medicine, Indianapolis, USA
| | - Kelley Faber
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, USA
- National Centralized Repository for Alzheimer's Disease and Related Dementias, Indiana University School of Medicine, Indianapolis, USA
| | - Martin R Farlow
- Indiana Alzheimer's Disease Research Center, Indiana University School of Medicine, Indianapolis, USA
- Department of Neurology, Indiana University School of Medicine, Indianapolis, USA
| | - Tatiana Foroud
- Indiana Alzheimer's Disease Research Center, Indiana University School of Medicine, Indianapolis, USA
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, USA
- National Centralized Repository for Alzheimer's Disease and Related Dementias, Indiana University School of Medicine, Indianapolis, USA
| | - Sujuan Gao
- Indiana Alzheimer's Disease Research Center, Indiana University School of Medicine, Indianapolis, USA
- Department of Biostatistics, Indiana University School of Medicine, Indianapolis, USA
| | - Thea Rosewood
- Center for Neuroimaging, Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, USA
- Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, USA
- Indiana Alzheimer's Disease Research Center, Indiana University School of Medicine, Indianapolis, USA
| | - Jun Pyo Kim
- Center for Neuroimaging, Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, USA
- Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, USA
- Indiana Alzheimer's Disease Research Center, Indiana University School of Medicine, Indianapolis, USA
| | - Kelly Nudelman
- Indiana Alzheimer's Disease Research Center, Indiana University School of Medicine, Indianapolis, USA
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, USA
- National Centralized Repository for Alzheimer's Disease and Related Dementias, Indiana University School of Medicine, Indianapolis, USA
| | - Meichen Yu
- Center for Neuroimaging, Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, USA
- Indiana Alzheimer's Disease Research Center, Indiana University School of Medicine, Indianapolis, USA
| | - Paul Aisen
- Department of Neurology, Keck School of Medicine, University of Southern California, San Diego, USA
| | - Reisa Sperling
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, USA
| | | | | | | | | | - William J Jagust
- UC Berkeley Helen Wills Neuroscience Institute, University of California - Berkeley, Berkeley, USA
| | - Susan Landau
- UC Berkeley Helen Wills Neuroscience Institute, University of California - Berkeley, Berkeley, USA
| | | | | | - Vincent Doré
- CSIRO Health and Biosecurity, Melbourne, Australia
- Department of Molecular Imaging & Therapy, Austin Health, Heidelberg, Australia
| | - Simon M Laws
- Centre for Precision Health, School of Medical and Health Sciences, Edith Cowan University, Joondalup, Australia
| | - Colin L Masters
- Florey Institute of Neuroscience and Mental Health and The University of Melbourne, Parkville, Australia
| | - Tenielle Porter
- Centre for Precision Health, School of Medical and Health Sciences, Edith Cowan University, Joondalup, Australia
| | - Christopher C Rowe
- Department of Molecular Imaging & Therapy, Austin Health, Heidelberg, Australia
- Florey Institute of Neuroscience and Mental Health and The University of Melbourne, Parkville, Australia
| | - Victor L Villemagne
- Department of Molecular Imaging & Therapy, Austin Health, Heidelberg, Australia
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, USA
| | - Logan Dumitrescu
- Vanderbilt Memory & Alzheimer's Center, Vanderbilt University Medical Center, Nashville, USA
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, USA
| | - Timothy J Hohman
- Vanderbilt Memory & Alzheimer's Center, Vanderbilt University Medical Center, Nashville, USA
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, USA
| | - Julia B Libby
- Vanderbilt Memory & Alzheimer's Center, Vanderbilt University Medical Center, Nashville, USA
| | - Elizabeth Mormino
- Department of Neurology & Neurological Sciences, Stanford University, Stanford, USA
| | - Rachel F Buckley
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, USA
| | - Keith Johnson
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, USA
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, USA
| | - Hyun-Sik Yang
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, USA
- Center for Alzheimer's Research and Treatment, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, USA
| | | | | | - Nilüfer Ertekin-Taner
- Department of Neurology, Mayo Clinic, Jacksonville, USA
- Department of Neuroscience, Mayo Clinic, Jacksonville, USA
| | | | - Ann D Cohen
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, USA
| | - Kang-Hsien Fan
- Department of Human Genetics, University of Pittsburgh, Pittsburgh, USA
| | - M Ilyas Kamboh
- Department of Human Genetics, University of Pittsburgh, Pittsburgh, USA
| | - Oscar L Lopez
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, USA
- Department of Neurology, University of Pittsburgh School of Medicine, Pittsburgh, USA
| | - David A Bennett
- Department of Neurological Sciences, Rush Medical College, Rush University, Chicago, USA
| | - Muhammad Ali
- Department of Psychiatry, Washington University, St. Louis, USA
| | - Tammie Benzinger
- Department of Radiology, Washington University School of Medicine, St. Louis, USA
| | - Carlos Cruchaga
- Department of Psychiatry, Washington University, St. Louis, USA
- NeuroGenomics and Informatics Center, Washington University School of Medicine, St. Louis, USA
| | - Diana Hobbs
- Department of Radiology, Washington University School of Medicine, St. Louis, USA
| | - Philip L De Jager
- Center for Translational and Computational Neuroimmunology, Department of Neurology and Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, USA
| | - Masashi Fujita
- Center for Translational and Computational Neuroimmunology, Department of Neurology and Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, USA
| | - Vaishnavi Jadhav
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, USA
- Stark Neuroscience Research Institute, Indiana University School of Medicine, Indianapolis, USA
| | - Bruce T Lamb
- Indiana Alzheimer's Disease Research Center, Indiana University School of Medicine, Indianapolis, USA
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, USA
- Stark Neuroscience Research Institute, Indiana University School of Medicine, Indianapolis, USA
| | - Andy P Tsai
- Department of Neurology & Neurological Sciences, Stanford University, Stanford, USA
- Stark Neuroscience Research Institute, Indiana University School of Medicine, Indianapolis, USA
- Wu Tsai Neurosciences Institute, Stanford University School of Medicine, Stanford, USA
| | - Isabel Castanho
- Department for Clinical and Biomedical Sciences, University of Exeter Medical School, University of Exeter, Exeter, UK
- Department of Pathology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, USA
| | - Jonathan Mill
- Department for Clinical and Biomedical Sciences, University of Exeter Medical School, University of Exeter, Exeter, UK
| | - Michael W Weiner
- Departments of Radiology, Medicine, and Psychiatry, University of California-San Francisco, San Francisco, USA
- Department of Veterans Affairs Medical Center, San Francisco, USA
| | - Andrew J Saykin
- Center for Neuroimaging, Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, USA.
- Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, USA.
- Indiana Alzheimer's Disease Research Center, Indiana University School of Medicine, Indianapolis, USA.
- Department of Neurology, Indiana University School of Medicine, Indianapolis, USA.
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, USA.
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4
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Jin Y, Zhao L, Zhang Y, Chen T, Shi H, Sun H, Ding S, Chen S, Cao H, Zhang G, Li Q, Gao J, Xiao M, Sheng C. BIN1 deficiency enhances ULK3-dependent autophagic flux and reduces dendritic size in mouse hippocampal neurons. Autophagy 2024:1-20. [PMID: 39171951 DOI: 10.1080/15548627.2024.2393932] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Revised: 08/09/2024] [Accepted: 08/14/2024] [Indexed: 08/23/2024] Open
Abstract
Genome-wide association studies identified variants around the BIN1 (bridging integrator 1) gene locus as prominent risk factors for late-onset Alzheimer disease. In the present study, we decreased the expression of BIN1 in mouse hippocampal neurons to investigate its neuronal function. Bin1 knockdown via RNAi reduced the dendritic arbor size in primary cultured hippocampal neurons as well as in mature Cornu Ammonis 1 excitatory neurons. The AAV-mediated Bin1 RNAi knockdown also generated a significant regional volume loss around the injection sites at the organ level, as revealed by 7-Tesla structural magnetic resonance imaging, and an impaired spatial reference memory performance in the Barnes maze test. Unexpectedly, Bin1 knockdown led to concurrent activation of both macroautophagy/autophagy and MTOR (mechanistic target of rapamycin kinase) complex 1 (MTORC1). Autophagy inhibition with the lysosome inhibitor chloroquine effectively mitigated the Bin1 knockdown-induced dendritic regression. The subsequent molecular studydemonstrated that increased expression of ULK3 (unc-51 like kinase 3), which is MTOR-insensitive, supported autophagosome formation in BIN1 deficiency. Reducing ULK3 activity with SU6668, a receptor tyrosine kinase inhibitor, or decreasing neuronal ULK3 expression through AAV-mediated RNAi, significantly attenuated Bin1 knockdown-induced hippocampal volume loss and spatial memory decline. In Alzheimer disease patients, the major neuronal isoform of BIN1 is specifically reduced. Our work suggests this reduction is probably an important molecular event that increases the autophagy level, which might subsequently promote brain atrophy and cognitive impairment through reducing dendritic structures, and ULK3 is a potential interventional target for relieving these detrimental effects.Abbreviations: AV: adeno-associated virus; Aβ: amyloid-β; ACTB: actin, beta; AD: Alzheimer disease; Aduk: Another Drosophila Unc-51-like kinase; AKT1: thymoma viral proto-oncogene 1; AMPK: AMP-activated protein kinase; AP: autophagosome; BafA1: bafilomycin A1; BDNF: brain derived neurotrophic factor; BIN1: bridging integrator 1; BIN1-iso1: BIN1, isoform 1; CA1: cornu Ammonis 1; CA3: cornu Ammonis 3; CLAP: clathrin and adapter binding; CQ: chloroquine; DMEM: Dulbecco's modified Eagle medium; EGFP: enhanced green fluorescent protein; GWAS: genome-wide association study; MAP1LC3B/LC3B: microtubule-associated protein 1 light chain 3 beta; MRI: magnetic resonance imaging; MTOR; mechanistic target of rapamycin kinase; MTORC1: MTOR complex 1; PET: positron emission tomography; qRT-PCR: real-time quantitative reverse transcription PCR; ROS: reactive oxygen species; RPS6KB1: ribosomal protein S6 kinase B1; TFEB: transcription factor EB; ULK1: unc-51 like kinase 1; ULK3: unc-51 like kinase 3.
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Affiliation(s)
- Yuxi Jin
- Jiangsu Key Laboratory of Neurodegeneration, Nanjing Medical University, Nanjing, China
- School of Basic Medical Sciences, Nanjing Medical University, Nanjing, China
| | - Lin Zhao
- Jiangsu Key Laboratory of Neurodegeneration, Nanjing Medical University, Nanjing, China
- School of Basic Medical Sciences, Nanjing Medical University, Nanjing, China
| | - Yanli Zhang
- Department of Psychiatry, The Affiliated Changzhou Second People's Hospital of Nanjing Medical University, Changzhou, China
- Changzhou Medical Center, Nanjing Medical University, Changzhou, China
| | - Tingzhen Chen
- Jiangsu Key Laboratory of Neurodegeneration, Nanjing Medical University, Nanjing, China
- Department of Critical Care Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Huili Shi
- Jiangsu Key Laboratory of Neurodegeneration, Nanjing Medical University, Nanjing, China
- School of Basic Medical Sciences, Nanjing Medical University, Nanjing, China
| | - Huaiqing Sun
- Jiangsu Key Laboratory of Neurodegeneration, Nanjing Medical University, Nanjing, China
- Department of Neurology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Shixin Ding
- Jiangsu Key Laboratory of Neurodegeneration, Nanjing Medical University, Nanjing, China
- School of Basic Medical Sciences, Nanjing Medical University, Nanjing, China
| | - Sijia Chen
- Jiangsu Key Laboratory of Neurodegeneration, Nanjing Medical University, Nanjing, China
- School of Basic Medical Sciences, Nanjing Medical University, Nanjing, China
| | - Haifeng Cao
- School of Basic Medical Sciences, Nanjing Medical University, Nanjing, China
| | - Guannan Zhang
- School of Basic Medical Sciences, Nanjing Medical University, Nanjing, China
| | - Qian Li
- Jiangsu Key Laboratory of Neurodegeneration, Nanjing Medical University, Nanjing, China
- School of Basic Medical Sciences, Nanjing Medical University, Nanjing, China
| | - Junying Gao
- Jiangsu Key Laboratory of Neurodegeneration, Nanjing Medical University, Nanjing, China
- School of Basic Medical Sciences, Nanjing Medical University, Nanjing, China
| | - Ming Xiao
- Jiangsu Key Laboratory of Neurodegeneration, Nanjing Medical University, Nanjing, China
- Brain Institute, Nanjing Brain Hospital, Nanjing Medical University, Nanjing, China
| | - Chengyu Sheng
- Jiangsu Key Laboratory of Neurodegeneration, Nanjing Medical University, Nanjing, China
- School of Basic Medical Sciences, Nanjing Medical University, Nanjing, China
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5
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Saha O, Melo de Farias AR, Pelletier A, Siedlecki-Wullich D, Landeira BS, Gadaut J, Carrier A, Vreulx AC, Guyot K, Shen Y, Bonnefond A, Amouyel P, Tcw J, Kilinc D, Queiroz CM, Delahaye F, Lambert JC, Costa MR. The Alzheimer's disease risk gene BIN1 regulates activity-dependent gene expression in human-induced glutamatergic neurons. Mol Psychiatry 2024; 29:2634-2646. [PMID: 38514804 PMCID: PMC11420064 DOI: 10.1038/s41380-024-02502-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/03/2023] [Revised: 02/22/2024] [Accepted: 02/27/2024] [Indexed: 03/23/2024]
Abstract
Bridging Integrator 1 (BIN1) is the second most important Alzheimer's disease (AD) risk gene, but its physiological roles in neurons and its contribution to brain pathology remain largely elusive. In this work, we show that BIN1 plays a critical role in the regulation of calcium homeostasis, electrical activity, and gene expression of glutamatergic neurons. Using single-cell RNA-sequencing on cerebral organoids generated from isogenic BIN1 wild type (WT), heterozygous (HET) and homozygous knockout (KO) human-induced pluripotent stem cells (hiPSCs), we show that BIN1 is mainly expressed by oligodendrocytes and glutamatergic neurons, like in the human brain. Both BIN1 HET and KO cerebral organoids show specific transcriptional alterations, mainly associated with ion transport and synapses in glutamatergic neurons. We then demonstrate that BIN1 cell-autonomously regulates gene expression in glutamatergic neurons by using a novel protocol to generate pure culture of hiPSC-derived induced neurons (hiNs). Using this system, we also show that BIN1 plays a key role in the regulation of neuronal calcium transients and electrical activity via its interaction with the L-type voltage-gated calcium channel Cav1.2. BIN1 KO hiNs show reduced activity-dependent internalization and higher Cav1.2 expression compared to WT hiNs. Pharmacological blocking of this channel with clinically relevant doses of nifedipine, a calcium channel blocker, partly rescues electrical and gene expression alterations in BIN1 KO glutamatergic neurons. Further, we show that transcriptional alterations in BIN1 KO hiNs that affect biological processes related to calcium homeostasis are also present in glutamatergic neurons of the human brain at late stages of AD pathology. Together, these findings suggest that BIN1-dependent alterations in neuronal properties could contribute to AD pathophysiology and that treatment with low doses of clinically approved calcium blockers should be considered as an option to slow disease-onset and progression.
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Affiliation(s)
- Orthis Saha
- Univ. Lille, Inserm, CHU Lille, Institut Pasteur de Lille, U1167-RID-AGE facteurs de risque et déterminants moléculaires des maladies liées au vieillissement, DISTALZ, 1 rue du Professeur Calmette, 59019, Lille, France
| | - Ana Raquel Melo de Farias
- Univ. Lille, Inserm, CHU Lille, Institut Pasteur de Lille, U1167-RID-AGE facteurs de risque et déterminants moléculaires des maladies liées au vieillissement, DISTALZ, 1 rue du Professeur Calmette, 59019, Lille, France
- Brain Institute, Federal University of Rio Grande do Norte, Av. Senador Salgado Filho, 3000, Campus Universitário, Lagoa, Nova, 59078-970, Natal, Brazil
| | - Alexandre Pelletier
- Univ. Lille, Inserm, CNRS, CHU Lille, Institut Pasteur de Lille, U1283-UMR 8199 EGID, Pôle Recherche, 1 Place de Verdun, 59045, Lille, Cedex, France
- Department of Pharmacology, Physiology & Biophysics, Boston University, Chobanian & Avedisian School of Medicine, Boston, MA, 02118, USA
| | - Dolores Siedlecki-Wullich
- Univ. Lille, Inserm, CHU Lille, Institut Pasteur de Lille, U1167-RID-AGE facteurs de risque et déterminants moléculaires des maladies liées au vieillissement, DISTALZ, 1 rue du Professeur Calmette, 59019, Lille, France
| | - Bruna Soares Landeira
- Univ. Lille, Inserm, CHU Lille, Institut Pasteur de Lille, U1167-RID-AGE facteurs de risque et déterminants moléculaires des maladies liées au vieillissement, DISTALZ, 1 rue du Professeur Calmette, 59019, Lille, France
| | - Johanna Gadaut
- Univ. Lille, Inserm, CHU Lille, Institut Pasteur de Lille, U1167-RID-AGE facteurs de risque et déterminants moléculaires des maladies liées au vieillissement, DISTALZ, 1 rue du Professeur Calmette, 59019, Lille, France
| | - Arnaud Carrier
- Univ. Lille, Inserm, CNRS, CHU Lille, Institut Pasteur de Lille, U1283-UMR 8199 EGID, Pôle Recherche, 1 Place de Verdun, 59045, Lille, Cedex, France
| | - Anaïs-Camille Vreulx
- Univ. Lille, Inserm, CHU Lille, Institut Pasteur de Lille, U1167-RID-AGE facteurs de risque et déterminants moléculaires des maladies liées au vieillissement, DISTALZ, 1 rue du Professeur Calmette, 59019, Lille, France
| | - Karine Guyot
- Univ. Lille, Inserm, CHU Lille, Institut Pasteur de Lille, U1167-RID-AGE facteurs de risque et déterminants moléculaires des maladies liées au vieillissement, DISTALZ, 1 rue du Professeur Calmette, 59019, Lille, France
| | - Yun Shen
- Department of Pharmacology, Physiology & Biophysics, Boston University, Chobanian & Avedisian School of Medicine, Boston, MA, 02118, USA
| | - Amelie Bonnefond
- Univ. Lille, Inserm, CNRS, CHU Lille, Institut Pasteur de Lille, U1283-UMR 8199 EGID, Pôle Recherche, 1 Place de Verdun, 59045, Lille, Cedex, France
| | - Philippe Amouyel
- Univ. Lille, Inserm, CHU Lille, Institut Pasteur de Lille, U1167-RID-AGE facteurs de risque et déterminants moléculaires des maladies liées au vieillissement, DISTALZ, 1 rue du Professeur Calmette, 59019, Lille, France
| | - Julia Tcw
- Department of Pharmacology, Physiology & Biophysics, Boston University, Chobanian & Avedisian School of Medicine, Boston, MA, 02118, USA
- Bioinformatics Program, Faculty of Computing & Data Sciences, Boston University, Boston, MA, 02115, USA
| | - Devrim Kilinc
- Univ. Lille, Inserm, CHU Lille, Institut Pasteur de Lille, U1167-RID-AGE facteurs de risque et déterminants moléculaires des maladies liées au vieillissement, DISTALZ, 1 rue du Professeur Calmette, 59019, Lille, France
| | - Claudio Marcos Queiroz
- Brain Institute, Federal University of Rio Grande do Norte, Av. Senador Salgado Filho, 3000, Campus Universitário, Lagoa, Nova, 59078-970, Natal, Brazil
| | - Fabien Delahaye
- Univ. Lille, Inserm, CNRS, CHU Lille, Institut Pasteur de Lille, U1283-UMR 8199 EGID, Pôle Recherche, 1 Place de Verdun, 59045, Lille, Cedex, France
| | - Jean-Charles Lambert
- Univ. Lille, Inserm, CHU Lille, Institut Pasteur de Lille, U1167-RID-AGE facteurs de risque et déterminants moléculaires des maladies liées au vieillissement, DISTALZ, 1 rue du Professeur Calmette, 59019, Lille, France
| | - Marcos R Costa
- Univ. Lille, Inserm, CHU Lille, Institut Pasteur de Lille, U1167-RID-AGE facteurs de risque et déterminants moléculaires des maladies liées au vieillissement, DISTALZ, 1 rue du Professeur Calmette, 59019, Lille, France.
- Brain Institute, Federal University of Rio Grande do Norte, Av. Senador Salgado Filho, 3000, Campus Universitário, Lagoa, Nova, 59078-970, Natal, Brazil.
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6
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Altmann A, Aksman LM, Oxtoby NP, Young AL, Alexander DC, Barkhof F, Shoai M, Hardy J, Schott JM. Towards cascading genetic risk in Alzheimer's disease. Brain 2024; 147:2680-2690. [PMID: 38820112 PMCID: PMC11292901 DOI: 10.1093/brain/awae176] [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: 12/21/2023] [Revised: 04/22/2024] [Accepted: 05/06/2024] [Indexed: 06/02/2024] Open
Abstract
Alzheimer's disease typically progresses in stages, which have been defined by the presence of disease-specific biomarkers: amyloid (A), tau (T) and neurodegeneration (N). This progression of biomarkers has been condensed into the ATN framework, in which each of the biomarkers can be either positive (+) or negative (-). Over the past decades, genome-wide association studies have implicated ∼90 different loci involved with the development of late-onset Alzheimer's disease. Here, we investigate whether genetic risk for Alzheimer's disease contributes equally to the progression in different disease stages or whether it exhibits a stage-dependent effect. Amyloid (A) and tau (T) status was defined using a combination of available PET and CSF biomarkers in the Alzheimer's Disease Neuroimaging Initiative cohort. In 312 participants with biomarker-confirmed A-T- status, we used Cox proportional hazards models to estimate the contribution of APOE and polygenic risk scores (beyond APOE) to convert to A+T- status (65 conversions). Furthermore, we repeated the analysis in 290 participants with A+T- status and investigated the genetic contribution to conversion to A+T+ (45 conversions). Both survival analyses were adjusted for age, sex and years of education. For progression from A-T- to A+T-, APOE-e4 burden showed a significant effect [hazard ratio (HR) = 2.88; 95% confidence interval (CI): 1.70-4.89; P < 0.001], whereas polygenic risk did not (HR = 1.09; 95% CI: 0.84-1.42; P = 0.53). Conversely, for the transition from A+T- to A+T+, the contribution of APOE-e4 burden was reduced (HR = 1.62; 95% CI: 1.05-2.51; P = 0.031), whereas the polygenic risk showed an increased contribution (HR = 1.73; 95% CI: 1.27-2.36; P < 0.001). The marginal APOE effect was driven by e4 homozygotes (HR = 2.58; 95% CI: 1.05-6.35; P = 0.039) as opposed to e4 heterozygotes (HR = 1.74; 95% CI: 0.87-3.49; P = 0.12). The genetic risk for late-onset Alzheimer's disease unfolds in a disease stage-dependent fashion. A better understanding of the interplay between disease stage and genetic risk can lead to a more mechanistic understanding of the transition between ATN stages and a better understanding of the molecular processes leading to Alzheimer's disease, in addition to opening therapeutic windows for targeted interventions.
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Affiliation(s)
- Andre Altmann
- UCL Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, University College London, London, WC1E 6BT, UK
| | - Leon M Aksman
- Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Neil P Oxtoby
- UCL Centre for Medical Image Computing, Department of Computer Science, University College London, London, WC1E 6BT, UK
| | - Alexandra L Young
- UCL Centre for Medical Image Computing, Department of Computer Science, University College London, London, WC1E 6BT, UK
| | - Daniel C Alexander
- UCL Centre for Medical Image Computing, Department of Computer Science, University College London, London, WC1E 6BT, UK
| | - Frederik Barkhof
- UCL Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, University College London, London, WC1E 6BT, UK
- UCL Queen Square Institute of Neurology, University College London, London, WC1N 3BG, UK
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Center, Amsterdam, 1081 HV, The Netherlands
| | - Maryam Shoai
- UCL Queen Square Institute of Neurology, University College London, London, WC1N 3BG, UK
- UK Dementia Research Institute, University College London, London, WC1E 6BT, UK
| | - John Hardy
- UCL Queen Square Institute of Neurology, University College London, London, WC1N 3BG, UK
- UK Dementia Research Institute, University College London, London, WC1E 6BT, UK
| | - Jonathan M Schott
- UK Dementia Research Institute, University College London, London, WC1E 6BT, UK
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, WC1N 3AR, UK
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7
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Wang W, Huang J, Qian S, Zheng Y, Yu X, Jiang T, Ai R, Hou J, Ma E, Cai J, He H, Wang X, Xie C. Amyloid-β but not tau accumulation is strongly associated with longitudinal cognitive decline. CNS Neurosci Ther 2024; 30:e14860. [PMID: 39014268 PMCID: PMC11251873 DOI: 10.1111/cns.14860] [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: 12/13/2023] [Revised: 06/11/2024] [Accepted: 07/03/2024] [Indexed: 07/18/2024] Open
Abstract
OBJECTIVE Alzheimer's disease (AD) pathology is featured by the extracellular accumulation of amyloid-β (Aβ) plaques and intracellular tau neurofibrillary tangles in the brain. We studied whether Aβ and tau accumulation are independently associated with future cognitive decline in the AD continuum. METHODS Data were acquired from the Alzheimer's Disease Neuroimaging Initiative (ADNI) public database. A total of 1272 participants were selected based on the availability of Aβ-PET and CSF tau at baseline and of those 777 participants with follow-up visits. RESULTS We found that Aβ-PET and CSF tau pathology were related to cognitive decline across the AD clinical spectrum, both as potential predictors for dementia progression. Among them, Aβ-PET (A + T- subjects) is an independent reliable predictor of longitudinal cognitive decline in terms of ADAS-13, ADNI-MEM, and MMSE scores rather than tau pathology (A - T+ subjects), indicating tau accumulation is not closely correlated with future cognitive impairment without being driven by Aβ deposition. Of note, a high percentage of APOE ε4 carriers with Aβ pathology (A+) develop poor memory and learning capacity. Interestingly, this condition is not recurrence in terms of the ADNI-MEM domain when adding APOE ε4 status. Finally, the levels of Aβ-PET SUVR related to glucose hypometabolism more strongly in subjects with A + T- than A - T+ both happen at baseline and longitudinal changes. CONCLUSIONS In conclusion, Aβ-PET alone without tau pathology (A + T-) measure is an independent reliable predictor of longitudinal cognitive decline but may nonetheless forecast different status of dementia progression. However, tau accumulation alone without Aβ pathology background (A - T+) was not enough to be an independent predictor of cognitive worsening.
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Affiliation(s)
- Wenwen Wang
- The Center of Traditional Chinese Medicine, The Second Affiliated HospitalYuying Children's Hospital of Wenzhou Medical UniversityWenzhouChina
| | - Jiani Huang
- Department of NeurologyThe First Affiliated Hospital of Wenzhou Medical UniversityWenzhouChina
| | - Shuangjie Qian
- Department of NeurologyThe First Affiliated Hospital of Wenzhou Medical UniversityWenzhouChina
| | - Yi Zheng
- Department of NeurologyThe First Affiliated Hospital of Wenzhou Medical UniversityWenzhouChina
| | - Xinyue Yu
- Alberta InstituteWenzhou Medical UniversityWenzhouZhejiangChina
| | - Tao Jiang
- Department of NeurologyThe First Affiliated Hospital of Wenzhou Medical UniversityWenzhouChina
| | - Ruixue Ai
- Department of Clinical Molecular Biology, Akershus University HospitalUniversity of OsloLørenskogNorway
| | - Jialong Hou
- Department of NeurologyThe First Affiliated Hospital of Wenzhou Medical UniversityWenzhouChina
| | - Enzi Ma
- Department of NeurologyTraditional Chinese and Western Medicine Hospital of WenzhouWenzhouZhejiangChina
| | - Jinlai Cai
- Department of NeurologyThe First Affiliated Hospital of Wenzhou Medical UniversityWenzhouChina
| | - Haijun He
- Department of NeurologyThe First Affiliated Hospital of Wenzhou Medical UniversityWenzhouChina
| | - XinShi Wang
- Department of NeurologyThe First Affiliated Hospital of Wenzhou Medical UniversityWenzhouChina
| | - Chenglong Xie
- Department of NeurologyThe First Affiliated Hospital of Wenzhou Medical UniversityWenzhouChina
- Oujiang LaboratoryWenzhouZhejiangChina
- Key Laboratory of Alzheimer's Disease of Zhejiang Province, Institute of AgingWenzhou Medical UniversityWenzhouZhejiangChina
- Department of Geriatrics, Geriatric Medical CenterThe First Affiliated Hospital of Wenzhou Medical UniversityWenzhouZhejiangChina
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8
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Nabizadeh F. Disruption in functional networks mediated tau spreading in Alzheimer's disease. Brain Commun 2024; 6:fcae198. [PMID: 38978728 PMCID: PMC11227975 DOI: 10.1093/braincomms/fcae198] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2024] [Revised: 04/27/2024] [Accepted: 06/07/2024] [Indexed: 07/10/2024] Open
Abstract
Alzheimer's disease may be conceptualized as a 'disconnection syndrome', characterized by the breakdown of neural connectivity within the brain as a result of amyloid-beta plaques, tau neurofibrillary tangles and other factors leading to progressive degeneration and shrinkage of neurons, along with synaptic dysfunction. It has been suggested that misfolded tau proteins spread through functional connections (known as 'prion-like' properties of tau). However, the local effect of tau spreading on the synaptic function and communication between regions is not well understood. I aimed to investigate how the spreading of tau aggregates through connections can locally influence functional connectivity. In total, the imaging data of 211 participants including 117 amyloid-beta-negative non-demented and 94 amyloid-beta-positive non-demented participants were recruited from the Alzheimer's Disease Neuroimaging Initiative. Furthermore, normative resting-state functional MRI connectomes were used to model tau spreading through functional connections, and functional MRI of the included participants was used to determine the effect of tau spreading on functional connectivity. I found that lower functional connectivity to tau epicentres is associated with tau spreading through functional connections in both amyloid-beta-negative and amyloid-beta-positive participants. Also, amyloid-beta-PET in tau epicentres mediated the association of tau spreading and functional connectivity to epicentres suggesting a partial mediating effect of amyloid-beta deposition in tau epicentres on the local effect of tau spreading on functional connectivity. My findings provide strong support for the notion that tau spreading through connection is locally associated with disrupted functional connectivity between tau epicentre and non-epicentre regions independent of amyloid-beta pathology. Also, I defined several groups based on the relationship between tau spreading and functional disconnection, which provides quantitative assessment to investigate susceptibility or resilience to functional disconnection related to tau spreading. I showed that amyloid-beta, other copathologies and the apolipoprotein E epsilon 4 allele can be a leading factor towards vulnerability to tau relative functional disconnection.
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Affiliation(s)
- Fardin Nabizadeh
- School of Medicine, Iran University of Medical Sciences, Tehran 441265421414, Iran
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9
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Maninger JK, Nowak K, Goberdhan S, O'Donoghue R, Connor-Robson N. Cell type-specific functions of Alzheimer's disease endocytic risk genes. Philos Trans R Soc Lond B Biol Sci 2024; 379:20220378. [PMID: 38368934 PMCID: PMC10874703 DOI: 10.1098/rstb.2022.0378] [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: 03/17/2023] [Accepted: 09/12/2023] [Indexed: 02/20/2024] Open
Abstract
Endocytosis is a key cellular pathway required for the internalization of cellular nutrients, lipids and receptor-bound cargoes. It is also critical for the recycling of cellular components, cellular trafficking and membrane dynamics. The endocytic pathway has been consistently implicated in Alzheimer's disease (AD) through repeated genome-wide association studies and the existence of rare coding mutations in endocytic genes. BIN1 and PICALM are two of the most significant late-onset AD risk genes after APOE and are both key to clathrin-mediated endocytic biology. Pathological studies also demonstrate that endocytic dysfunction is an early characteristic of late-onset AD, being seen in the prodromal phase of the disease. Different cell types of the brain have specific requirements of the endocytic pathway. Neurons require efficient recycling of synaptic vesicles and microglia use the specialized form of endocytosis-phagocytosis-for their normal function. Therefore, disease-associated changes in endocytic genes will have varied impacts across different cell types, which remains to be fully explored. Given the genetic and pathological evidence for endocytic dysfunction in AD, understanding how such changes and the related cell type-specific vulnerabilities impact normal cellular function and contribute to disease is vital and could present novel therapeutic opportunities. This article is part of a discussion meeting issue 'Understanding the endo-lysosomal network in neurodegeneration'.
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Affiliation(s)
| | - Karolina Nowak
- Cardiff University, Dementia Research Institute, Cardiff University¸ Cardiff, CF24 4HQ, UK
| | - Srilakshmi Goberdhan
- Cardiff University, Dementia Research Institute, Cardiff University¸ Cardiff, CF24 4HQ, UK
| | - Rachel O'Donoghue
- Cardiff University, Dementia Research Institute, Cardiff University¸ Cardiff, CF24 4HQ, UK
| | - Natalie Connor-Robson
- Cardiff University, Dementia Research Institute, Cardiff University¸ Cardiff, CF24 4HQ, UK
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10
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Steward A, Biel D, Dewenter A, Roemer S, Wagner F, Dehsarvi A, Rathore S, Otero Svaldi D, Higgins I, Brendel M, Dichgans M, Shcherbinin S, Ewers M, Franzmeier N. ApoE4 and Connectivity-Mediated Spreading of Tau Pathology at Lower Amyloid Levels. JAMA Neurol 2023; 80:1295-1306. [PMID: 37930695 PMCID: PMC10628846 DOI: 10.1001/jamaneurol.2023.4038] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Accepted: 09/07/2023] [Indexed: 11/07/2023]
Abstract
Importance For the Alzheimer disease (AD) therapies to effectively attenuate clinical progression, it may be critical to intervene before the onset of amyloid-associated tau spreading, which drives neurodegeneration and cognitive decline. Time points at which amyloid-associated tau spreading accelerates may depend on individual risk factors, such as apolipoprotein E ε4 (ApoE4) carriership, which is linked to faster disease progression; however, the association of ApoE4 with amyloid-related tau spreading is unclear. Objective To assess if ApoE4 carriers show accelerated amyloid-related tau spreading and propose amyloid positron emission tomography (PET) thresholds at which tau spreading accelerates in ApoE4 carriers vs noncarriers. Design, Setting, and Participants This cohort study including combined ApoE genotyping, amyloid PET, and longitudinal tau PET from 2 independent samples: the Alzheimer's Disease Neuroimaging Initiative (ADNI; n = 237; collected from April 2015 to August 2022) and Avid-A05 (n = 130; collected from December 2013 to July 2017) with a mean (SD) tau PET follow-up time of 1.9 (0.96) years in ADNI and 1.4 (0.23) years in Avid-A05. ADNI is an observational multicenter Alzheimer disease neuroimaging initiative and Avid-A05 an observational clinical trial. Participants classified as cognitively normal (152 in ADNI and 77 in Avid-A05) or mildly cognitively impaired (107 in ADNI and 53 in Avid-A05) were selected based on ApoE genotyping, amyloid-PET, and longitudinal tau PET data availability. Participants with ApoE ε2/ε4 genotype or classified as having dementia were excluded. Resting-state functional magnetic resonance imaging connectivity templates were based on 42 healthy participants in ADNI. Main Outcomes and Measures Mediation of amyloid PET on the association between ApoE4 status and subsequent tau PET increase through Braak stage regions and interaction between ApoE4 status and amyloid PET with annual tau PET increase through Braak stage regions and connectivity-based spreading stages (tau epicenter connectivity ranked regions). Results The mean (SD) age was 73.9 (7.35) years among the 237 ADNI participants and 70.2 (9.7) years among the 130 Avid-A05 participants. A total of 107 individuals in ADNI (45.1%) and 45 in Avid-A05 (34.6%) were ApoE4 carriers. Across both samples, we found that higher amyloid PET-mediated ApoE4-related tau PET increased globally (ADNI b, 0.15; 95% CI, 0.05-0.28; P = .001 and Avid-A05 b, 0.33; 95% CI, 0.14-0.54; P < .001) and in earlier Braak regions. Further, we found a significant association between ApoE4 status by amyloid PET interaction and annual tau PET increases consistently through early Braak- and connectivity-based stages where amyloid-related tau accumulation was accelerated in ApoE4carriers vs noncarriers at lower centiloid thresholds, corrected for age and sex. Conclusions and Relevance The findings in this study indicate that amyloid-related tau accumulation was accelerated in ApoE4 carriers at lower amyloid levels, suggesting that ApoE4 may facilitate earlier amyloid-driven tau spreading across connected brain regions. Possible therapeutic implications might be further investigated to determine when best to prevent tau spreading and thus cognitive decline depending on ApoE4 status.
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Affiliation(s)
- Anna Steward
- Institute for Stroke and Dementia Research, University Hospital, Ludwig Maximilian University of Munich, Munich, Germany
| | - Davina Biel
- Institute for Stroke and Dementia Research, University Hospital, Ludwig Maximilian University of Munich, Munich, Germany
| | - Anna Dewenter
- Institute for Stroke and Dementia Research, University Hospital, Ludwig Maximilian University of Munich, Munich, Germany
| | - Sebastian Roemer
- Institute for Stroke and Dementia Research, University Hospital, Ludwig Maximilian University of Munich, Munich, Germany
- Department of Neurology, University Hospital, Ludwig Maximilian University of Munich, Munich, Germany
| | - Fabian Wagner
- Institute for Stroke and Dementia Research, University Hospital, Ludwig Maximilian University of Munich, Munich, Germany
| | - Amir Dehsarvi
- Institute for Stroke and Dementia Research, University Hospital, Ludwig Maximilian University of Munich, Munich, Germany
| | | | | | | | - Matthias Brendel
- Department of Nuclear Medicine, University Hospital, Ludwig Maximilian University of Munich, Munich, Germany
- Munich Cluster for Systems Neurology, Munich, Germany
| | - Martin Dichgans
- Institute for Stroke and Dementia Research, University Hospital, Ludwig Maximilian University of Munich, Munich, Germany
- Munich Cluster for Systems Neurology, Munich, Germany
| | | | - Michael Ewers
- Institute for Stroke and Dementia Research, University Hospital, Ludwig Maximilian University of Munich, Munich, Germany
- German Center for Neurodegenerative Diseases, Munich, Germany
| | - Nicolai Franzmeier
- Institute for Stroke and Dementia Research, University Hospital, Ludwig Maximilian University of Munich, Munich, Germany
- Munich Cluster for Systems Neurology, Munich, Germany
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Sweden
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11
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Yang HS, Teng L, Kang D, Menon V, Ge T, Finucane HK, Schultz AP, Properzi M, Klein HU, Chibnik LB, Schneider JA, Bennett DA, Hohman TJ, Mayeux RP, Johnson KA, De Jager PL, Sperling RA. Cell-type-specific Alzheimer's disease polygenic risk scores are associated with distinct disease processes in Alzheimer's disease. Nat Commun 2023; 14:7659. [PMID: 38036535 PMCID: PMC10689816 DOI: 10.1038/s41467-023-43132-2] [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: 05/22/2023] [Accepted: 11/01/2023] [Indexed: 12/02/2023] Open
Abstract
Many of the Alzheimer's disease (AD) risk genes are specifically expressed in microglia and astrocytes, but how and when the genetic risk localizing to these cell types contributes to AD pathophysiology remains unclear. Here, we derive cell-type-specific AD polygenic risk scores (ADPRS) from two extensively characterized datasets and uncover the impact of cell-type-specific genetic risk on AD endophenotypes. In an autopsy dataset spanning all stages of AD (n = 1457), the astrocytic ADPRS affected diffuse and neuritic plaques (amyloid-β), while microglial ADPRS affected neuritic plaques, microglial activation, neurofibrillary tangles (tau), and cognitive decline. In an independent neuroimaging dataset of cognitively unimpaired elderly (n = 2921), astrocytic ADPRS was associated with amyloid-β, and microglial ADPRS was associated with amyloid-β and tau, connecting cell-type-specific genetic risk with AD pathology even before symptom onset. Together, our study provides human genetic evidence implicating multiple glial cell types in AD pathophysiology, starting from the preclinical stage.
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Affiliation(s)
- Hyun-Sik Yang
- Center for Alzheimer Research and Treatment, Department of Neurology, Brigham and Women's Hospital, Boston, MA, USA.
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA.
- Harvard Medical School, Boston, MA, USA.
- Broad Institute of MIT and Harvard, Cambridge, MA, USA.
| | - Ling Teng
- Center for Alzheimer Research and Treatment, Department of Neurology, Brigham and Women's Hospital, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Daniel Kang
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - Vilas Menon
- Center for Translational & Computational Neuroimmunology, Department of Neurology, Columbia University Irving Medical Center, New York, NY, USA
- Department of Neurology and the Taub Institute for the Study of Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, NY, USA
| | - Tian Ge
- Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Center for Precision Psychiatry, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Hilary K Finucane
- Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Aaron P Schultz
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Michael Properzi
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - Hans-Ulrich Klein
- Center for Translational & Computational Neuroimmunology, Department of Neurology, Columbia University Irving Medical Center, New York, NY, USA
- Department of Neurology and the Taub Institute for the Study of Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, NY, USA
| | - Lori B Chibnik
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Julie A Schneider
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - David A Bennett
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Timothy J Hohman
- Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Richard P Mayeux
- Department of Neurology and the Taub Institute for the Study of Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, NY, USA
| | - Keith A Johnson
- Center for Alzheimer Research and Treatment, Department of Neurology, Brigham and Women's Hospital, Boston, MA, USA
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
| | - Philip L De Jager
- Center for Translational & Computational Neuroimmunology, Department of Neurology, Columbia University Irving Medical Center, New York, NY, USA
- Department of Neurology and the Taub Institute for the Study of Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, NY, USA
| | - Reisa A Sperling
- Center for Alzheimer Research and Treatment, Department of Neurology, Brigham and Women's Hospital, Boston, MA, USA
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
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12
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Zhang J, Wang Y, Zhang Y, Yao J. Genome-wide association study in Alzheimer's disease: a bibliometric and visualization analysis. Front Aging Neurosci 2023; 15:1290657. [PMID: 38094504 PMCID: PMC10716290 DOI: 10.3389/fnagi.2023.1290657] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Accepted: 11/08/2023] [Indexed: 02/23/2024] Open
Abstract
BACKGROUND Thousands of research studies concerning genome-wide association studies (GWAS) in Alzheimer's disease (AD) have been published in the last decades. However, a comprehensive understanding of the current research status and future development trends of GWAS in AD have not been clearly shown. In this study, we tried to gain a systematic overview of GWAS in AD by bibliometric and visualization analysis. METHODS The literature search terms are: ("genome-wide analysis" or "genome-wide association study" or "whole-genome analysis") AND ("Alzheimer's Disease" or "Alzheimer Disease"). Relevant publications were extracted from the Web of Science Core Collection (WoSCC) database. Collected data were further analyzed using VOSviewer, CiteSpace and R package Bibliometrix. The countries, institutions, authors and scholar collaborations were investigated. The co-citation analysis of publications was visualized. In addition, research hotspots and fronts were examined. RESULTS A total of 1,350 publications with 59,818 citations were identified. The number of publications and citations presented a significant rising trend since 2013. The United States was the leading country with an overwhelming number of publications (775) and citations (42,237). The University of Washington and Harvard University were the most prolific institutions with 101 publications each. Bennett DA was the most influential researcher with the highest local H-index. Neurobiology of Aging was the journal with the highest number of publications. Aβ, tau, immunity, microglia and DNA methylation were research hotspots. Disease and causal variants were research fronts. CONCLUSION The most frequently studied AD pathogenesis and research hotspots are (1) Aβ and tau, (2) immunity and microglia, with TREM2 as a potential immunotherapy target, and (3) DNA methylation. The research fronts are (1) looking for genetic similarities between AD and other neurological diseases and syndromes, and (2) searching for causal variants of AD. These hotspots suggest noteworthy directions for future studies on AD pathogenesis and genetics, in which basic research regarding immunity is promising for clinical conversion. The current under-researched directions are (1) GWAS in AD biomarkers based on large sample sizes, (2) studies of causal variants of AD, and (3) GWAS in AD based on non-European populations, which need to be strengthened in the future.
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Affiliation(s)
- Junyao Zhang
- Department of Anesthesiology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yinuo Wang
- Department of Anesthesiology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yingying Zhang
- Department of Anesthesiology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Junyan Yao
- Department of Anesthesiology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Department of Anesthesiology and Critical Care Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China
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13
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Burnham SC, Iaccarino L, Pontecorvo MJ, Fleisher AS, Lu M, Collins EC, Devous MD. A review of the flortaucipir literature for positron emission tomography imaging of tau neurofibrillary tangles. Brain Commun 2023; 6:fcad305. [PMID: 38187878 PMCID: PMC10768888 DOI: 10.1093/braincomms/fcad305] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Revised: 09/13/2023] [Accepted: 11/14/2023] [Indexed: 01/09/2024] Open
Abstract
Alzheimer's disease is defined by the presence of β-amyloid plaques and neurofibrillary tau tangles potentially preceding clinical symptoms by many years. Previously only detectable post-mortem, these pathological hallmarks are now identifiable using biomarkers, permitting an in vivo definitive diagnosis of Alzheimer's disease. 18F-flortaucipir (previously known as 18F-T807; 18F-AV-1451) was the first tau positron emission tomography tracer to be introduced and is the only Food and Drug Administration-approved tau positron emission tomography tracer (Tauvid™). It has been widely adopted and validated in a number of independent research and clinical settings. In this review, we present an overview of the published literature on flortaucipir for positron emission tomography imaging of neurofibrillary tau tangles. We considered all accessible peer-reviewed literature pertaining to flortaucipir through 30 April 2022. We found 474 relevant peer-reviewed publications, which were organized into the following categories based on their primary focus: typical Alzheimer's disease, mild cognitive impairment and pre-symptomatic populations; atypical Alzheimer's disease; non-Alzheimer's disease neurodegenerative conditions; head-to-head comparisons with other Tau positron emission tomography tracers; and technical considerations. The available flortaucipir literature provides substantial evidence for the use of this positron emission tomography tracer in assessing neurofibrillary tau tangles in Alzheimer's disease and limited support for its use in other neurodegenerative disorders. Visual interpretation and quantitation approaches, although heterogeneous, mostly converge and demonstrate the high diagnostic and prognostic value of flortaucipir in Alzheimer's disease.
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Affiliation(s)
| | | | | | | | - Ming Lu
- Avid, Eli Lilly and Company, Philadelphia, PA 19104, USA
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14
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Lamontagne-Kam D, Ulfat AK, Hervé V, Vu TM, Brouillette J. Implication of tau propagation on neurodegeneration in Alzheimer's disease. Front Neurosci 2023; 17:1219299. [PMID: 37483337 PMCID: PMC10360202 DOI: 10.3389/fnins.2023.1219299] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Accepted: 06/07/2023] [Indexed: 07/25/2023] Open
Abstract
Propagation of tau fibrils correlate closely with neurodegeneration and memory deficits seen during the progression of Alzheimer's disease (AD). Although it is not well-established what drives or attenuates tau spreading, new studies on human brain using positron emission tomography (PET) have shed light on how tau phosphorylation, genetic factors, and the initial epicenter of tau accumulation influence tau accumulation and propagation throughout the brain. Here, we review the latest PET studies performed across the entire AD continuum looking at the impact of amyloid load on tau pathology. We also explore the effects of structural, functional, and proximity connectivity on tau spreading in a stereotypical manner in the brain of AD patients. Since tau propagation can be quite heterogenous between individuals, we then consider how the speed and pattern of propagation are influenced by the starting localization of tau accumulation in connected brain regions. We provide an overview of some genetic variants that were shown to accelerate or slow down tau spreading. Finally, we discuss how phosphorylation of certain tau epitopes affect the spreading of tau fibrils. Since tau pathology is an early event in AD pathogenesis and is one of the best predictors of neurodegeneration and memory impairments, understanding the process by which tau spread from one brain region to another could pave the way to novel therapeutic avenues that are efficient during the early stages of the disease, before neurodegeneration induces permanent brain damage and severe memory loss.
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15
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Wang X, Broce I, Qiu Y, Deters KD, Fan CC, Dale AM, Edland SD, Banks SJ. A simple genetic stratification method for lower cost, more expedient clinical trials in early Alzheimer's disease: A preliminary study of tau PET and cognitive outcomes. Alzheimers Dement 2023; 19:3078-3086. [PMID: 36701211 PMCID: PMC10368787 DOI: 10.1002/alz.12952] [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: 08/15/2022] [Revised: 12/19/2022] [Accepted: 12/21/2022] [Indexed: 01/27/2023]
Abstract
INTRODUCTION Identifying individuals who are most likely to accumulate tau and exhibit cognitive decline is critical for Alzheimer's disease (AD) clinical trials. METHODS Participants (N = 235) who were cognitively normal or with mild cognitive impairment from the Alzheimer's Disease Neuroimaging Initiative were stratified by a cutoff on the polygenic hazard score (PHS) at 65th percentile (above as high-risk group and below as low-risk group). We evaluated the associations between the PHS risk groups and tau positron emission tomography and cognitive decline, respectively. Power analyses estimated the sample size needed for clinical trials to detect differences in tau accumulation or cognitive change. RESULTS The high-risk group showed faster tau accumulation and cognitive decline. Clinical trials using the high-risk group would require a fraction of the sample size as trials without this inclusion criterion. DISCUSSION Incorporating a PHS inclusion criterion represents a low-cost and accessible way to identify potential participants for AD clinical trials.
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Affiliation(s)
- Xin Wang
- University of California, San Diego, California, USA
| | - Iris Broce
- University of California, San Diego, California, USA
| | - Yuqi Qiu
- East China Normal University, Shanghai, China
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16
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Lambert JC, Ramirez A, Grenier-Boley B, Bellenguez C. Step by step: towards a better understanding of the genetic architecture of Alzheimer's disease. Mol Psychiatry 2023; 28:2716-2727. [PMID: 37131074 PMCID: PMC10615767 DOI: 10.1038/s41380-023-02076-1] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Revised: 04/12/2023] [Accepted: 04/14/2023] [Indexed: 05/04/2023]
Abstract
Alzheimer's disease (AD) is considered to have a large genetic component. Our knowledge of this component has progressed over the last 10 years, thanks notably to the advent of genome-wide association studies and the establishment of large consortia that make it possible to analyze hundreds of thousands of cases and controls. The characterization of dozens of chromosomal regions associated with the risk of developing AD and (in some loci) the causal genes responsible for the observed disease signal has confirmed the involvement of major pathophysiological pathways (such as amyloid precursor protein metabolism) and opened up new perspectives (such as the central role of microglia and inflammation). Furthermore, large-scale sequencing projects are starting to reveal the major impact of rare variants - even in genes like APOE - on the AD risk. This increasingly comprehensive knowledge is now being disseminated through translational research; in particular, the development of genetic risk/polygenic risk scores is helping to identify the subpopulations more at risk or less at risk of developing AD. Although it is difficult to assess the efforts still needed to comprehensively characterize the genetic component of AD, several lines of research can be improved or initiated. Ultimately, genetics (in combination with other biomarkers) might help to redefine the boundaries and relationships between various neurodegenerative diseases.
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Affiliation(s)
- Jean-Charles Lambert
- Univ. Lille, Inserm, CHU Lille, Institut Pasteur de Lille, U1167-RID-AGE Facteurs de risque et déterminants moléculaires des maladies liées au vieillissement, Lille, France.
| | - Alfredo Ramirez
- Division of Neurogenetics and Molecular Psychiatry, Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
- Department of Neurodegenerative diseases and Geriatric Psychiatry, University Hospital Bonn, Medical Faculty, Bonn, Germany
- Department of Psychiatry & Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, San Antonio, TX, USA
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
- Cluster of Excellence Cellular Stress Responses in Aging-Associated Diseases (CECAD), University of Cologne, Cologne, Germany
| | - Benjamin Grenier-Boley
- Univ. Lille, Inserm, CHU Lille, Institut Pasteur de Lille, U1167-RID-AGE Facteurs de risque et déterminants moléculaires des maladies liées au vieillissement, Lille, France
| | - Céline Bellenguez
- Univ. Lille, Inserm, CHU Lille, Institut Pasteur de Lille, U1167-RID-AGE Facteurs de risque et déterminants moléculaires des maladies liées au vieillissement, Lille, France
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17
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Yang HS, Teng L, Kang D, Menon V, Ge T, Finucane HK, Schultz AP, Properzi M, Klein HU, Chibnik LB, Schneider JA, Bennett DA, Hohman TJ, Mayeux RP, Johnson KA, De Jager PL, Sperling RA. Cell-type-specific Alzheimer's disease polygenic risk scores are associated with distinct disease processes in Alzheimer's disease. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.06.01.23290850. [PMID: 37333223 PMCID: PMC10274993 DOI: 10.1101/2023.06.01.23290850] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/20/2023]
Abstract
Alzheimer's disease (AD) heritability is enriched in glial genes, but how and when cell-type-specific genetic risk contributes to AD remains unclear. Here, we derive cell-type-specific AD polygenic risk scores (ADPRS) from two extensively characterized datasets. In an autopsy dataset spanning all stages of AD (n=1,457), astrocytic (Ast) ADPRS was associated with both diffuse and neuritic Aβ plaques, while microglial (Mic) ADPRS was associated with neuritic Aβ plaques, microglial activation, tau, and cognitive decline. Causal modeling analyses further clarified these relationships. In an independent neuroimaging dataset of cognitively unimpaired elderly (n=2,921), Ast-ADPRS were associated with Aβ, and Mic-ADPRS was associated with Aβ and tau, showing a consistent pattern with the autopsy dataset. Oligodendrocytic and excitatory neuronal ADPRSs were associated with tau, but only in the autopsy dataset including symptomatic AD cases. Together, our study provides human genetic evidence implicating multiple glial cell types in AD pathophysiology, starting from the preclinical stage.
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Affiliation(s)
- Hyun-Sik Yang
- Department of Neurology, Brigham and Women’s Hospital, Boston, MA, USA
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA
- Broad Institute of MIT and Harvard, Cambridge, MA
| | - Ling Teng
- Department of Neurology, Brigham and Women’s Hospital, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA
| | - Daniel Kang
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - Vilas Menon
- Department of Neurology, Columbia University Irving Medical Center, New York, NY, USA
| | - Tian Ge
- Harvard Medical School, Boston, MA
- Broad Institute of MIT and Harvard, Cambridge, MA
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Hilary K. Finucane
- Harvard Medical School, Boston, MA
- Broad Institute of MIT and Harvard, Cambridge, MA
- Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Aaron P. Schultz
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA
| | - Michael Properzi
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - Hans-Ulrich Klein
- Department of Neurology, Columbia University Irving Medical Center, New York, NY, USA
| | - Lori B. Chibnik
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Julie A. Schneider
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - David A. Bennett
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Timothy J. Hohman
- Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Richard P. Mayeux
- Department of Neurology, Columbia University Irving Medical Center, New York, NY, USA
| | - Keith A. Johnson
- Department of Neurology, Brigham and Women’s Hospital, Boston, MA, USA
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA
- Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
| | - Philip L. De Jager
- Department of Neurology, Columbia University Irving Medical Center, New York, NY, USA
| | - Reisa A. Sperling
- Department of Neurology, Brigham and Women’s Hospital, Boston, MA, USA
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA
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18
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Balusu S, Praschberger R, Lauwers E, De Strooper B, Verstreken P. Neurodegeneration cell per cell. Neuron 2023; 111:767-786. [PMID: 36787752 DOI: 10.1016/j.neuron.2023.01.016] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Revised: 10/12/2022] [Accepted: 01/18/2023] [Indexed: 02/16/2023]
Abstract
The clinical definition of neurodegenerative diseases is based on symptoms that reflect terminal damage of specific brain regions. This is misleading as it tells little about the initial disease processes. Circuitry failures that underlie the clinical symptomatology are themselves preceded by clinically mostly silent, slowly progressing multicellular processes that trigger or are triggered by the accumulation of abnormally folded proteins such as Aβ, Tau, TDP-43, and α-synuclein, among others. Methodological advances in single-cell omics, combined with complex genetics and novel ways to model complex cellular interactions using induced pluripotent stem (iPS) cells, make it possible to analyze the early cellular phase of neurodegenerative disorders. This will revolutionize the way we study those diseases and will translate into novel diagnostics and cell-specific therapeutic targets, stopping these disorders in their early track before they cause difficult-to-reverse damage to the brain.
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Affiliation(s)
- Sriram Balusu
- VIB-KU Leuven Center for Brain & Disease Research, Leuven, Belgium; KU Leuven Department of Neurosciences, Leuven Brain Institute, Leuven, Belgium
| | - Roman Praschberger
- VIB-KU Leuven Center for Brain & Disease Research, Leuven, Belgium; KU Leuven Department of Neurosciences, Leuven Brain Institute, Leuven, Belgium
| | - Elsa Lauwers
- VIB-KU Leuven Center for Brain & Disease Research, Leuven, Belgium; KU Leuven Department of Neurosciences, Leuven Brain Institute, Leuven, Belgium
| | - Bart De Strooper
- VIB-KU Leuven Center for Brain & Disease Research, Leuven, Belgium; KU Leuven Department of Neurosciences, Leuven Brain Institute, Leuven, Belgium; UK Dementia Research Institute, London, UK.
| | - Patrik Verstreken
- VIB-KU Leuven Center for Brain & Disease Research, Leuven, Belgium; KU Leuven Department of Neurosciences, Leuven Brain Institute, Leuven, Belgium.
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19
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Xu J, Mao C, Hou Y, Luo Y, Binder JL, Zhou Y, Bekris LM, Shin J, Hu M, Wang F, Eng C, Oprea TI, Flanagan ME, Pieper AA, Cummings J, Leverenz JB, Cheng F. Interpretable deep learning translation of GWAS and multi-omics findings to identify pathobiology and drug repurposing in Alzheimer's disease. Cell Rep 2022; 41:111717. [PMID: 36450252 PMCID: PMC9837836 DOI: 10.1016/j.celrep.2022.111717] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Revised: 09/01/2022] [Accepted: 11/02/2022] [Indexed: 12/03/2022] Open
Abstract
Translating human genetic findings (genome-wide association studies [GWAS]) to pathobiology and therapeutic discovery remains a major challenge for Alzheimer's disease (AD). We present a network topology-based deep learning framework to identify disease-associated genes (NETTAG). We leverage non-coding GWAS loci effects on quantitative trait loci, enhancers and CpG islands, promoter regions, open chromatin, and promoter flanking regions under the protein-protein interactome. Via NETTAG, we identified 156 AD-risk genes enriched in druggable targets. Combining network-based prediction and retrospective case-control observations with 10 million individuals, we identified that usage of four drugs (ibuprofen, gemfibrozil, cholecalciferol, and ceftriaxone) is associated with reduced likelihood of AD incidence. Gemfibrozil (an approved lipid regulator) is significantly associated with 43% reduced risk of AD compared with simvastatin using an active-comparator design (95% confidence interval 0.51-0.63, p < 0.0001). In summary, NETTAG offers a deep learning methodology that utilizes GWAS and multi-genomic findings to identify pathobiology and drug repurposing in AD.
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Affiliation(s)
- Jielin Xu
- Genomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195, USA
| | - Chengsheng Mao
- Division of Health and Biomedical Informatics, Department of Preventive Medicine, Northwestern University, Chicago, IL 60611, USA
| | - Yuan Hou
- Genomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195, USA
| | - Yuan Luo
- Division of Health and Biomedical Informatics, Department of Preventive Medicine, Northwestern University, Chicago, IL 60611, USA
| | - Jessica L Binder
- Department of Internal Medicine, University of New Mexico School of Medicine, Albuquerque, NM 87131, USA
| | - Yadi Zhou
- Genomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195, USA
| | - Lynn M Bekris
- Genomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195, USA; Department of Molecular Medicine, Cleveland Clinic Lerner College of Medicine, Case Western Reserve University, Cleveland, OH 44195, USA
| | - Jiyoung Shin
- Division of Health and Biomedical Informatics, Department of Preventive Medicine, Northwestern University, Chicago, IL 60611, USA
| | - Ming Hu
- Department of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44106, USA
| | - Fei Wang
- Department of Population Health Sciences, Weill Cornell Medical College, Cornell University, New York, NY 10065, USA
| | - Charis Eng
- Genomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195, USA; Department of Molecular Medicine, Cleveland Clinic Lerner College of Medicine, Case Western Reserve University, Cleveland, OH 44195, USA
| | - Tudor I Oprea
- Department of Internal Medicine, University of New Mexico School of Medicine, Albuquerque, NM 87131, USA
| | - Margaret E Flanagan
- Department of Pathology and Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Andrew A Pieper
- Harrington Discovery Institute, University Hospitals Cleveland Medical Center, Cleveland, OH 44106, USA; Department of Psychiatry, Case Western Reserve University, Cleveland, OH 44106, USA; Geriatric Psychiatry, GRECC, Louis Stokes Cleveland VA Medical Center, Cleveland, OH 44106, USA; Institute for Transformative Molecular Medicine, School of Medicine, Case Western Reserve University, Cleveland 44106, OH, USA; Department of Neuroscience, Case Western Reserve University, School of Medicine, Cleveland, OH 44106, USA
| | - Jeffrey Cummings
- Chambers-Grundy Center for Transformative Neuroscience, Department of Brain Health, School of Integrated Health Sciences, University of Nevada Las Vegas, Las Vegas, NV 89154, USA
| | - James B Leverenz
- Department of Molecular Medicine, Cleveland Clinic Lerner College of Medicine, Case Western Reserve University, Cleveland, OH 44195, USA; Lou Ruvo Center for Brain Health, Neurological Institute, Cleveland Clinic, Cleveland, OH 44195, USA
| | - Feixiong Cheng
- Genomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195, USA; Department of Molecular Medicine, Cleveland Clinic Lerner College of Medicine, Case Western Reserve University, Cleveland, OH 44195, USA; Case Comprehensive Cancer Center, Case Western Reserve University School of Medicine, Cleveland, OH 44106, USA.
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20
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Steward A, Biel D, Brendel M, Dewenter A, Roemer S, Rubinski A, Luan Y, Dichgans M, Ewers M, Franzmeier N. Functional network segregation is associated with attenuated tau spreading in Alzheimer's disease. Alzheimers Dement 2022; 19:2034-2046. [PMID: 36433865 DOI: 10.1002/alz.12867] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Revised: 09/01/2022] [Accepted: 10/05/2022] [Indexed: 11/27/2022]
Abstract
INTRODUCTION Lower network segregation is associated with accelerated cognitive decline in Alzheimer's disease (AD), yet it is unclear whether less segregated brain networks facilitate connectivity-mediated tau spreading. METHODS We combined resting state functional magnetic resonance imaging (fMRI) with longitudinal tau positron emission tomography (PET) in 42 betamyloid-negative controls and 81 amyloid beta positive individuals across the AD spectrum. Network segregation was determined using resting-state fMRI-assessed connectivity among 400 cortical regions belonging to seven networks. RESULTS AD subjects with higher network segregation exhibited slower brain-wide tau accumulation relative to their baseline entorhinal tau PET burden (typical onset site of tau pathology). Second, by identifying patient-specific tau epicenters with highest baseline tau PET we found that stronger epicenter segregation was associated with a slower rate of tau accumulation in the rest of the brain in relation to baseline epicenter tau burden. DISCUSSION Our results indicate that tau spreading is facilitated by a more diffusely organized connectome, suggesting that brain network topology modulates tau spreading in AD. HIGHLIGHTS Higher brain network segregation is associated with attenuated tau pathology accumulation in Alzheimer's disease (AD). A patient-tailored approach allows for the more precise localization of tau epicenters. The functional segregation of subject-specific tau epicenters predicts the rate of future tau accumulation.
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Affiliation(s)
- Anna Steward
- Institute for Stroke and Dementia Research (ISD) University Hospital LMU Munich Germany
| | - Davina Biel
- Institute for Stroke and Dementia Research (ISD) University Hospital LMU Munich Germany
| | - Matthias Brendel
- Department of Nuclear Medicine University Hospital LMU Munich Munich Germany
- German Center for Neurodegenerative Diseases (DZNE) Munich Germany
- Munich Cluster for Systems Neurology (SyNergy) Munich Germany
| | - Anna Dewenter
- Institute for Stroke and Dementia Research (ISD) University Hospital LMU Munich Germany
| | - Sebastian Roemer
- Institute for Stroke and Dementia Research (ISD) University Hospital LMU Munich Germany
- Department of Neurology University Hospital LMU Munich Munich Germany
| | - Anna Rubinski
- Institute for Stroke and Dementia Research (ISD) University Hospital LMU Munich Germany
| | - Ying Luan
- Institute for Stroke and Dementia Research (ISD) University Hospital LMU Munich Germany
| | - Martin Dichgans
- Institute for Stroke and Dementia Research (ISD) University Hospital LMU Munich Germany
- German Center for Neurodegenerative Diseases (DZNE) Munich Germany
- Munich Cluster for Systems Neurology (SyNergy) Munich Germany
| | - Michael Ewers
- Institute for Stroke and Dementia Research (ISD) University Hospital LMU Munich Germany
- German Center for Neurodegenerative Diseases (DZNE) Munich Germany
| | - Nicolai Franzmeier
- Institute for Stroke and Dementia Research (ISD) University Hospital LMU Munich Germany
- Munich Cluster for Systems Neurology (SyNergy) Munich Germany
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21
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Mazzo F, Butnaru I, Grubisha O, Ficulle E, Sanger H, Fitzgerald G, Pan F, Pasqui F, Murray T, Monn J, Li X, Hutton M, Bose S, Schiavo G, Sher E. Metabotropic Glutamate Receptors Modulate Exocytotic Tau Release and Propagation. J Pharmacol Exp Ther 2022; 383:117-128. [PMID: 36116796 DOI: 10.1124/jpet.122.001307] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Accepted: 08/05/2022] [Indexed: 01/07/2023] Open
Abstract
Using synaptosomes purified from the brains of two transgenic mouse models overexpressing mutated human tau (TgP301S and Tg4510) and brains of patients with sporadic Alzheimer's disease, we showed that aggregated and hyperphosphorylated tau was both present in purified synaptosomes and released in a calcium- and synaptosome-associated protein of 25 kDa (SNAP25)-dependent manner. In all mouse and human synaptosomal preparations, tau release was inhibited by the selective metabotropic glutamate receptor 2/3 (mGluR2/3) agonist LY379268, an effect prevented by the selective mGlu2/3 antagonist LY341495. LY379268 was also able to block pathologic tau propagation between primary neurons in an in vitro microfluidic cellular model. These novel results are transformational for our understanding of the molecular mechanisms mediating tau release and propagation at synaptic terminals in Alzheimer's disease and suggest that these processes could be inhibited therapeutically by the selective activation of presynaptic G protein-coupled receptors. SIGNIFICANCE STATEMENT: Pathological tau release and propagation are key neuropathological events underlying cognitive decline in Alzheimer's disease patients. This paper describes the role of regulated exocytosis, and the soluble N-ethylmaleimide-sensitive factor attachment receptor (SNARE) protein SNAP25, in mediating tau release from rodent and human synaptosomes. This paper also shows that a selective mGluR2/3 agonist is highly effective in blocking tau release from synaptosomes and tau propagation between neurons, opening the way to the discovery of novel therapeutic approaches to this devastating disease.
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Affiliation(s)
- Francesca Mazzo
- Eli Lilly and Company Ltd, Neuroscience, Bracknell, United Kingdom (F.M., O.G., E.F., H.S., Fr.P., T.M., S.B., E.S.); UK Dementia Research Institute at UCL, University College London, London, United Kingdom (I.B., G.S.); Lilly Research Laboratories, Eli Lilly and Company, Indianapolis, Indiana (G.F., Fe.P., J.M., X.L., M.H.); and Department of Neuromuscular Diseases, Queen Square Institute of Neurology, University College London, London, United Kingdom (G.S.)
| | - Ioana Butnaru
- Eli Lilly and Company Ltd, Neuroscience, Bracknell, United Kingdom (F.M., O.G., E.F., H.S., Fr.P., T.M., S.B., E.S.); UK Dementia Research Institute at UCL, University College London, London, United Kingdom (I.B., G.S.); Lilly Research Laboratories, Eli Lilly and Company, Indianapolis, Indiana (G.F., Fe.P., J.M., X.L., M.H.); and Department of Neuromuscular Diseases, Queen Square Institute of Neurology, University College London, London, United Kingdom (G.S.)
| | - Olivera Grubisha
- Eli Lilly and Company Ltd, Neuroscience, Bracknell, United Kingdom (F.M., O.G., E.F., H.S., Fr.P., T.M., S.B., E.S.); UK Dementia Research Institute at UCL, University College London, London, United Kingdom (I.B., G.S.); Lilly Research Laboratories, Eli Lilly and Company, Indianapolis, Indiana (G.F., Fe.P., J.M., X.L., M.H.); and Department of Neuromuscular Diseases, Queen Square Institute of Neurology, University College London, London, United Kingdom (G.S.)
| | - Elena Ficulle
- Eli Lilly and Company Ltd, Neuroscience, Bracknell, United Kingdom (F.M., O.G., E.F., H.S., Fr.P., T.M., S.B., E.S.); UK Dementia Research Institute at UCL, University College London, London, United Kingdom (I.B., G.S.); Lilly Research Laboratories, Eli Lilly and Company, Indianapolis, Indiana (G.F., Fe.P., J.M., X.L., M.H.); and Department of Neuromuscular Diseases, Queen Square Institute of Neurology, University College London, London, United Kingdom (G.S.)
| | - Helen Sanger
- Eli Lilly and Company Ltd, Neuroscience, Bracknell, United Kingdom (F.M., O.G., E.F., H.S., Fr.P., T.M., S.B., E.S.); UK Dementia Research Institute at UCL, University College London, London, United Kingdom (I.B., G.S.); Lilly Research Laboratories, Eli Lilly and Company, Indianapolis, Indiana (G.F., Fe.P., J.M., X.L., M.H.); and Department of Neuromuscular Diseases, Queen Square Institute of Neurology, University College London, London, United Kingdom (G.S.)
| | - Griffin Fitzgerald
- Eli Lilly and Company Ltd, Neuroscience, Bracknell, United Kingdom (F.M., O.G., E.F., H.S., Fr.P., T.M., S.B., E.S.); UK Dementia Research Institute at UCL, University College London, London, United Kingdom (I.B., G.S.); Lilly Research Laboratories, Eli Lilly and Company, Indianapolis, Indiana (G.F., Fe.P., J.M., X.L., M.H.); and Department of Neuromuscular Diseases, Queen Square Institute of Neurology, University College London, London, United Kingdom (G.S.)
| | - Feng Pan
- Eli Lilly and Company Ltd, Neuroscience, Bracknell, United Kingdom (F.M., O.G., E.F., H.S., Fr.P., T.M., S.B., E.S.); UK Dementia Research Institute at UCL, University College London, London, United Kingdom (I.B., G.S.); Lilly Research Laboratories, Eli Lilly and Company, Indianapolis, Indiana (G.F., Fe.P., J.M., X.L., M.H.); and Department of Neuromuscular Diseases, Queen Square Institute of Neurology, University College London, London, United Kingdom (G.S.)
| | - Francesca Pasqui
- Eli Lilly and Company Ltd, Neuroscience, Bracknell, United Kingdom (F.M., O.G., E.F., H.S., Fr.P., T.M., S.B., E.S.); UK Dementia Research Institute at UCL, University College London, London, United Kingdom (I.B., G.S.); Lilly Research Laboratories, Eli Lilly and Company, Indianapolis, Indiana (G.F., Fe.P., J.M., X.L., M.H.); and Department of Neuromuscular Diseases, Queen Square Institute of Neurology, University College London, London, United Kingdom (G.S.)
| | - Tracey Murray
- Eli Lilly and Company Ltd, Neuroscience, Bracknell, United Kingdom (F.M., O.G., E.F., H.S., Fr.P., T.M., S.B., E.S.); UK Dementia Research Institute at UCL, University College London, London, United Kingdom (I.B., G.S.); Lilly Research Laboratories, Eli Lilly and Company, Indianapolis, Indiana (G.F., Fe.P., J.M., X.L., M.H.); and Department of Neuromuscular Diseases, Queen Square Institute of Neurology, University College London, London, United Kingdom (G.S.)
| | - James Monn
- Eli Lilly and Company Ltd, Neuroscience, Bracknell, United Kingdom (F.M., O.G., E.F., H.S., Fr.P., T.M., S.B., E.S.); UK Dementia Research Institute at UCL, University College London, London, United Kingdom (I.B., G.S.); Lilly Research Laboratories, Eli Lilly and Company, Indianapolis, Indiana (G.F., Fe.P., J.M., X.L., M.H.); and Department of Neuromuscular Diseases, Queen Square Institute of Neurology, University College London, London, United Kingdom (G.S.)
| | - Xia Li
- Eli Lilly and Company Ltd, Neuroscience, Bracknell, United Kingdom (F.M., O.G., E.F., H.S., Fr.P., T.M., S.B., E.S.); UK Dementia Research Institute at UCL, University College London, London, United Kingdom (I.B., G.S.); Lilly Research Laboratories, Eli Lilly and Company, Indianapolis, Indiana (G.F., Fe.P., J.M., X.L., M.H.); and Department of Neuromuscular Diseases, Queen Square Institute of Neurology, University College London, London, United Kingdom (G.S.)
| | - Michael Hutton
- Eli Lilly and Company Ltd, Neuroscience, Bracknell, United Kingdom (F.M., O.G., E.F., H.S., Fr.P., T.M., S.B., E.S.); UK Dementia Research Institute at UCL, University College London, London, United Kingdom (I.B., G.S.); Lilly Research Laboratories, Eli Lilly and Company, Indianapolis, Indiana (G.F., Fe.P., J.M., X.L., M.H.); and Department of Neuromuscular Diseases, Queen Square Institute of Neurology, University College London, London, United Kingdom (G.S.)
| | - Suchira Bose
- Eli Lilly and Company Ltd, Neuroscience, Bracknell, United Kingdom (F.M., O.G., E.F., H.S., Fr.P., T.M., S.B., E.S.); UK Dementia Research Institute at UCL, University College London, London, United Kingdom (I.B., G.S.); Lilly Research Laboratories, Eli Lilly and Company, Indianapolis, Indiana (G.F., Fe.P., J.M., X.L., M.H.); and Department of Neuromuscular Diseases, Queen Square Institute of Neurology, University College London, London, United Kingdom (G.S.)
| | - Giampietro Schiavo
- Eli Lilly and Company Ltd, Neuroscience, Bracknell, United Kingdom (F.M., O.G., E.F., H.S., Fr.P., T.M., S.B., E.S.); UK Dementia Research Institute at UCL, University College London, London, United Kingdom (I.B., G.S.); Lilly Research Laboratories, Eli Lilly and Company, Indianapolis, Indiana (G.F., Fe.P., J.M., X.L., M.H.); and Department of Neuromuscular Diseases, Queen Square Institute of Neurology, University College London, London, United Kingdom (G.S.)
| | - Emanuele Sher
- Eli Lilly and Company Ltd, Neuroscience, Bracknell, United Kingdom (F.M., O.G., E.F., H.S., Fr.P., T.M., S.B., E.S.); UK Dementia Research Institute at UCL, University College London, London, United Kingdom (I.B., G.S.); Lilly Research Laboratories, Eli Lilly and Company, Indianapolis, Indiana (G.F., Fe.P., J.M., X.L., M.H.); and Department of Neuromuscular Diseases, Queen Square Institute of Neurology, University College London, London, United Kingdom (G.S.)
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22
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Jansen IE, van der Lee SJ, Gomez-Fonseca D, de Rojas I, Dalmasso MC, Grenier-Boley B, Zettergren A, Mishra A, Ali M, Andrade V, Bellenguez C, Kleineidam L, Küçükali F, Sung YJ, Tesí N, Vromen EM, Wightman DP, Alcolea D, Alegret M, Alvarez I, Amouyel P, Athanasiu L, Bahrami S, Bailly H, Belbin O, Bergh S, Bertram L, Biessels GJ, Blennow K, Blesa R, Boada M, Boland A, Buerger K, Carracedo Á, Cervera-Carles L, Chene G, Claassen JAHR, Debette S, Deleuze JF, de Deyn PP, Diehl-Schmid J, Djurovic S, Dols-Icardo O, Dufouil C, Duron E, Düzel E, Fladby T, Fortea J, Frölich L, García-González P, Garcia-Martinez M, Giegling I, Goldhardt O, Gobom J, Grimmer T, Haapasalo A, Hampel H, Hanon O, Hausner L, Heilmann-Heimbach S, Helisalmi S, Heneka MT, Hernández I, Herukka SK, Holstege H, Jarholm J, Kern S, Knapskog AB, Koivisto AM, Kornhuber J, Kuulasmaa T, Lage C, Laske C, Leinonen V, Lewczuk P, Lleó A, de Munain AL, Lopez-Garcia S, Maier W, Marquié M, Mol MO, Montrreal L, Moreno F, Moreno-Grau S, Nicolas G, Nöthen MM, Orellana A, Pålhaugen L, Papma JM, Pasquier F, Perneczky R, Peters O, Pijnenburg YAL, Popp J, Posthuma D, Pozueta A, Priller J, Puerta R, Quintela I, Ramakers I, Rodriguez-Rodriguez E, Rujescu D, Saltvedt I, Sanchez-Juan P, Scheltens P, Scherbaum N, Schmid M, Schneider A, Selbæk G, Selnes P, Shadrin A, Skoog I, Soininen H, Tárraga L, Teipel S, Tijms B, Tsolaki M, Van Broeckhoven C, Van Dongen J, van Swieten JC, Vandenberghe R, Vidal JS, Visser PJ, Vogelgsang J, Waern M, Wagner M, Wiltfang J, Wittens MMJ, Zetterberg H, Zulaica M, van Duijn CM, Bjerke M, Engelborghs S, Jessen F, Teunissen CE, Pastor P, Hiltunen M, Ingelsson M, Andreassen OA, Clarimón J, Sleegers K, Ruiz A, Ramirez A, Cruchaga C, Lambert JC, van der Flier W. Genome-wide meta-analysis for Alzheimer's disease cerebrospinal fluid biomarkers. Acta Neuropathol 2022; 144:821-842. [PMID: 36066633 PMCID: PMC9547780 DOI: 10.1007/s00401-022-02454-z] [Citation(s) in RCA: 26] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Revised: 05/18/2022] [Accepted: 06/07/2022] [Indexed: 01/26/2023]
Abstract
Amyloid-beta 42 (Aβ42) and phosphorylated tau (pTau) levels in cerebrospinal fluid (CSF) reflect core features of the pathogenesis of Alzheimer's disease (AD) more directly than clinical diagnosis. Initiated by the European Alzheimer & Dementia Biobank (EADB), the largest collaborative effort on genetics underlying CSF biomarkers was established, including 31 cohorts with a total of 13,116 individuals (discovery n = 8074; replication n = 5042 individuals). Besides the APOE locus, novel associations with two other well-established AD risk loci were observed; CR1 was shown a locus for Aβ42 and BIN1 for pTau. GMNC and C16orf95 were further identified as loci for pTau, of which the latter is novel. Clustering methods exploring the influence of all known AD risk loci on the CSF protein levels, revealed 4 biological categories suggesting multiple Aβ42 and pTau related biological pathways involved in the etiology of AD. In functional follow-up analyses, GMNC and C16orf95 both associated with lateral ventricular volume, implying an overlap in genetic etiology for tau levels and brain ventricular volume.
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Affiliation(s)
- Iris E Jansen
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands.
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands.
- Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, VU Amsterdam, Amsterdam, The Netherlands.
| | - Sven J van der Lee
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
- Section Genomics of Neurodegenerative Diseases and Aging, Human Genetics, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands
| | - Duber Gomez-Fonseca
- Department of Psychiatry, Washington University School of Medicine, St Louis, MO, USA
- NeuroGenomics and Informatics, Washington University School of Medicine, St Louis, MO, USA
- Hope Center for Neurological Disorders, Washington University School of Medicine, St Louis, MO, USA
| | - Itziar de Rojas
- Research Center and Memory Clinic, Ace Alzheimer Center Barcelona, Universitat Internacional de Catalunya, Barcelona, Spain
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
| | - Maria Carolina Dalmasso
- Division of Neurogenetics and Molecular Psychiatry, Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
- Neurosciences and Complex Systems Unit (ENyS), CONICET, Hospital El Cruce, National University A. Jauretche (UNAJ), Florencio Varela, Argentina
| | - Benjamin Grenier-Boley
- Univ. Lille, Inserm, CHU Lille, Institut Pasteur de Lille, U1167 - RID-AGE / Labex DISTALZ - Facteurs de risque et déterminants moléculaires des maladies liées au vieillissement, F-59000, Lille, France
| | - Anna Zettergren
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, Centre for Ageing and Health (AGECAP) at the University of Gothenburg, Gothenburg, Sweden
| | - Aniket Mishra
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, Team VINTAGE, UMR 1219, 33000, Bordeaux, France
| | - Muhammad Ali
- Department of Psychiatry, Washington University School of Medicine, St Louis, MO, USA
- NeuroGenomics and Informatics, Washington University School of Medicine, St Louis, MO, USA
- Hope Center for Neurological Disorders, Washington University School of Medicine, St Louis, MO, USA
| | - Victor Andrade
- Division of Neurogenetics and Molecular Psychiatry, Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
- Department of Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Medical Faculty, Bonn, Germany
| | - Céline Bellenguez
- Univ. Lille, Inserm, CHU Lille, Institut Pasteur de Lille, U1167 - RID-AGE / Labex DISTALZ - Facteurs de risque et déterminants moléculaires des maladies liées au vieillissement, F-59000, Lille, France
| | - Luca Kleineidam
- Division of Neurogenetics and Molecular Psychiatry, Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
- Department of Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Medical Faculty, Bonn, Germany
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Fahri Küçükali
- Complex Genetics of Alzheimer's Disease Group, VIB Center for Molecular Neurology, VIB, Antwerp, Belgium
- Department of Biomedical Sciences, University of Antwerp, Antwerp, Belgium
| | - Yun Ju Sung
- Department of Psychiatry, Washington University School of Medicine, St Louis, MO, USA
- NeuroGenomics and Informatics, Washington University School of Medicine, St Louis, MO, USA
- Hope Center for Neurological Disorders, Washington University School of Medicine, St Louis, MO, USA
| | - Niccolo Tesí
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
- Section Genomics of Neurodegenerative Diseases and Aging, Human Genetics, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands
| | - Ellen M Vromen
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
| | - Douglas P Wightman
- Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, VU Amsterdam, Amsterdam, The Netherlands
| | - Daniel Alcolea
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
- Sant Pau Memory Unit, Department of Neurology, Institut d'Investigacions Biomèdiques Sant Pau - Hospital de Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Montserrat Alegret
- Research Center and Memory Clinic, Ace Alzheimer Center Barcelona, Universitat Internacional de Catalunya, Barcelona, Spain
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
| | - Ignacio Alvarez
- Memory Disorders Unit, Department of Neurology, Hospital Universitari Mutua de Terrassa, Terrassa, Spain
- Fundació per a la Recerca Biomèdica i Social Mútua de Terrassa, Terrassa, Spain
| | - Philippe Amouyel
- Univ. Lille, Inserm, CHU Lille, Institut Pasteur de Lille, U1167 - RID-AGE / Labex DISTALZ - Facteurs de risque et déterminants moléculaires des maladies liées au vieillissement, F-59000, Lille, France
| | - Lavinia Athanasiu
- NORMENT Centre, Institute of Clinical Medicine, University of Oslo and Division of Mental Health, Oslo, Norway
| | - Shahram Bahrami
- NORMENT Centre, Institute of Clinical Medicine, University of Oslo and Division of Mental Health, Oslo, Norway
| | - Henri Bailly
- Université Paris Cité, EA4468, Maladie d'Alzheimer, F-75013 Paris, France
| | - Olivia Belbin
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
- Sant Pau Memory Unit, Department of Neurology, Institut d'Investigacions Biomèdiques Sant Pau - Hospital de Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Sverre Bergh
- The Research-Centre for Age-Related Functional Decline and Disease, Innlandet Hospital Trust, Brumunddal, Norway
- Norwegian National Centre for Ageing and Health, Vestfold Hospital Trust, Tønsberg, Norway
| | - Lars Bertram
- Lübeck Interdisciplinary Platform for Genome Analytics, University of Lübeck, Lübeck, Germany
| | - Geert Jan Biessels
- Department of Neurology, UMC Utrecht Brain Center, Utrecht, The Netherlands
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Rafael Blesa
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
- Sant Pau Memory Unit, Department of Neurology, Institut d'Investigacions Biomèdiques Sant Pau - Hospital de Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Mercè Boada
- Research Center and Memory Clinic, Ace Alzheimer Center Barcelona, Universitat Internacional de Catalunya, Barcelona, Spain
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
| | - Anne Boland
- Université Paris-Saclay, CEA, Centre National de Recherche en Génomique Humaine, 91057, Evry, France
| | - Katharina Buerger
- German Center for Neurodegenerative Diseases (DZNE, Munich), Munich, Germany
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany
| | - Ángel Carracedo
- Grupo de Medicina Xenómica, Centro Nacional de Genotipado (CEGEN-PRB3-ISCIII), Universidade de Santiago de Compostela, Santiago de Compostela, Spain
- Fundación Pública Galega de Medicina Xenómica-CIBERER-IDIS, Santiago de Compostela, Spain
| | - Laura Cervera-Carles
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
- Sant Pau Memory Unit, Department of Neurology, Institut d'Investigacions Biomèdiques Sant Pau - Hospital de Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Geneviève Chene
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, Team VINTAGE, UMR 1219, 33000, Bordeaux, France
- Department of Neurology, CHU de Bordeaux, 33000, Bordeaux, France
| | - Jurgen A H R Claassen
- Radboudumc Alzheimer Center, Department of Geriatrics, Radboud University Medical Center, Nijmegen, The Netherlands
- Donders Center for Medical Neuroscience, Nijmegen, The Netherlands
| | - Stephanie Debette
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, Team VINTAGE, UMR 1219, 33000, Bordeaux, France
- Department of Neurology, CHU de Bordeaux, 33000, Bordeaux, France
- Department of Neurology, Boston University School of Medicine, Boston, MA, 2115, USA
| | - Jean-Francois Deleuze
- Université Paris-Saclay, CEA, Centre National de Recherche en Génomique Humaine, 91057, Evry, France
| | - Peter Paul de Deyn
- Department of Neurology and Alzheimer Center Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Janine Diehl-Schmid
- Center for Cognitive Disorders, Department of Psychiatry and Psychotherapy, Klinikum rechts der Isar, Technical University of Munich, School of Medicine, Munich, Germany
- kbo-Inn-Salzach-Hospital, Wasserburg am Inn, Germany
| | - Srdjan Djurovic
- Department of Medical Genetics, Oslo University Hospital, Oslo, Norway
- Department of Clinical Science, NORMENT Centre, University of Bergen, Bergen, Norway
| | - Oriol Dols-Icardo
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
- Sant Pau Memory Unit, Department of Neurology, Institut d'Investigacions Biomèdiques Sant Pau - Hospital de Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Carole Dufouil
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, Team VINTAGE, UMR 1219, 33000, Bordeaux, France
- Pôle de Santé Publique Centre Hospitalier Universitaire (CHU) de Bordeaux, Bordeaux, France
| | | | - Emrah Düzel
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
- Institute of Cognitive Neurology and Dementia Research (IKND), Otto-von-Guericke University, Magdeburg, Germany
| | - Tormod Fladby
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Neurology, Akershus University Hospital, Lorenskog, Norway
| | - Juan Fortea
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
- Sant Pau Memory Unit, Department of Neurology, Institut d'Investigacions Biomèdiques Sant Pau - Hospital de Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Lutz Frölich
- Department of Geriatric Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg, Germany
| | - Pablo García-González
- Research Center and Memory Clinic, Ace Alzheimer Center Barcelona, Universitat Internacional de Catalunya, Barcelona, Spain
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
| | - Maria Garcia-Martinez
- Cognitive Impairment Unit, Neurology Service, "Marqués de Valdecilla" University Hospital, Institute for Research "Marques de Valdecilla" (IDIVAL), University of Cantabria, Santander, Spain, and Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - Ina Giegling
- Division of General Psychiatry, Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - Oliver Goldhardt
- Center for Cognitive Disorders, Department of Psychiatry and Psychotherapy, Klinikum rechts der Isar, Technical University of Munich, School of Medicine, Munich, Germany
| | - Johan Gobom
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Timo Grimmer
- Center for Cognitive Disorders, Department of Psychiatry and Psychotherapy, Klinikum rechts der Isar, Technical University of Munich, School of Medicine, Munich, Germany
| | - Annakaisa Haapasalo
- A.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, Finland
| | - Harald Hampel
- Alzheimer Precision Medicine (APM), Sorbonne University, AP-HP, Pitié-Salpêtrière Hospital, Paris, France
- Neurology Business Group, Eisai Inc, 100 Tice Blvd, Woodcliff Lake, NJ, 07677, USA
| | - Olivier Hanon
- Université Paris Cité, EA4468, Maladie d'Alzheimer, F-75013 Paris, France
- Service gériatrie, Centre Mémoire de Ressources et Recherches Ile de France-Broca, AP-HP, Hôpital Broca, F-75013, Paris, France
| | - Lucrezia Hausner
- Department of Geriatric Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg, Germany
| | - Stefanie Heilmann-Heimbach
- Institute of Human Genetics, University of Bonn, School of Medicine and University Hospital Bonn, 53127, Bonn, Germany
| | - Seppo Helisalmi
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland, Kuopio, Finland
| | - Michael T Heneka
- Department of Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Medical Faculty, Bonn, Germany
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Isabel Hernández
- Research Center and Memory Clinic, Ace Alzheimer Center Barcelona, Universitat Internacional de Catalunya, Barcelona, Spain
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
| | - Sanna-Kaisa Herukka
- Department of Neurology, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
| | - Henne Holstege
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
- Section Genomics of Neurodegenerative Diseases and Aging, Human Genetics, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands
| | - Jonas Jarholm
- Department of Neurology, Akershus University Hospital, Lorenskog, Norway
| | - Silke Kern
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, Centre for Ageing and Health (AGECAP) at the University of Gothenburg, Gothenburg, Sweden
- Region Västra Götaland, Sahlgrenska University Hospital, Psychiatry, Cognition and Old Age Psychiatry Clinic, Gothenburg, Sweden
| | | | - Anne M Koivisto
- Department of Neurology, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
- Department of Neurology, Kuopio University Hospital, Kuopio, Finland
- Department of Neurology, Helsinki University Hospital, Helsinki, Finland
| | - Johannes Kornhuber
- Department of Psychiatry and Psychotherapy, Universitätsklinikum Erlangen, and Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Teemu Kuulasmaa
- Bioinformatics Center, Institute of Biomedicine, University of Eastern Finland, Kuopio, Finland
| | - Carmen Lage
- Cognitive Impairment Unit, Neurology Service, "Marqués de Valdecilla" University Hospital, Institute for Research "Marques de Valdecilla" (IDIVAL), University of Cantabria, Santander, Spain, and Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
- Atlantic Fellow at the Global Brain Health Institute (GBHI) -, University of California, San Francisco, USA
| | - Christoph Laske
- German Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany
- Section for Dementia Research, Hertie Institute for Clinical Brain Research and Department of Psychiatry and Psychotherapy, University of Tübingen, Tübingen, Germany
| | - Ville Leinonen
- Institute of Clinical Medicine, Neurosurgery, University of Eastern Finland, Kuopio, Finland
- Department of Neurosurgery, Kuopio University Hospital, Kuopio, Finland
| | - Piotr Lewczuk
- Department of Psychiatry and Psychotherapy, Universitätsklinikum Erlangen, and Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany
- Department of Neurodegeneration Diagnostics, Medical University of Białystok, Białystok, Poland
| | - Alberto Lleó
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
- Sant Pau Memory Unit, Department of Neurology, Institut d'Investigacions Biomèdiques Sant Pau - Hospital de Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Adolfo López de Munain
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
- Hospital Universitario Donostia-OSAKIDETZA, Donostia, Spain
- Instituto Biodonostia, San Sebastián, Spain
- University of The Basque Country, San Sebastian, Spain
| | - Sara Lopez-Garcia
- Cognitive Impairment Unit, Neurology Service, "Marqués de Valdecilla" University Hospital, Institute for Research "Marques de Valdecilla" (IDIVAL), University of Cantabria, Santander, Spain, and Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - Wolfgang Maier
- Department of Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Medical Faculty, Bonn, Germany
| | - Marta Marquié
- Research Center and Memory Clinic, Ace Alzheimer Center Barcelona, Universitat Internacional de Catalunya, Barcelona, Spain
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
| | - Merel O Mol
- Department of Neurology and Alzheimer Center Erasmus MC, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Laura Montrreal
- Research Center and Memory Clinic, Ace Alzheimer Center Barcelona, Universitat Internacional de Catalunya, Barcelona, Spain
| | - Fermin Moreno
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
- Hospital Universitario Donostia-OSAKIDETZA, Donostia, Spain
- Instituto Biodonostia, San Sebastián, Spain
| | - Sonia Moreno-Grau
- Research Center and Memory Clinic, Ace Alzheimer Center Barcelona, Universitat Internacional de Catalunya, Barcelona, Spain
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
| | - Gael Nicolas
- Department of Genetics and CNR-MAJ, Normandie Univ, UNIROUEN, Inserm U1245 and CHU Rouen, Rouen, France
| | - Markus M Nöthen
- Institute of Human Genetics, University of Bonn, School of Medicine and University Hospital Bonn, 53127, Bonn, Germany
| | - Adelina Orellana
- Research Center and Memory Clinic, Ace Alzheimer Center Barcelona, Universitat Internacional de Catalunya, Barcelona, Spain
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
| | - Lene Pålhaugen
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Neurology, Akershus University Hospital, Lorenskog, Norway
| | - Janne M Papma
- Department of Neurology and Alzheimer Center Erasmus MC, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Florence Pasquier
- Univ. Lille, Inserm, CHU Lille, Institut Pasteur de Lille, U1167 - RID-AGE / Labex DISTALZ - Facteurs de risque et déterminants moléculaires des maladies liées au vieillissement, F-59000, Lille, France
| | - Robert Perneczky
- German Center for Neurodegenerative Diseases (DZNE, Munich), Munich, Germany
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy) Munich, Munich, Germany
- Ageing Epidemiology Research Unit, School of Public Health, Imperial College London, London, UK
| | - Oliver Peters
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
- German Center for Neurodegenerative Diseases (DZNE), Berlin, Germany
| | - Yolande A L Pijnenburg
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
| | - Julius Popp
- Department of Geriatric Psychiatry, University Hospital of Psychiatry Zürich and University of Zürich, Zurich, Switzerland
- Old Age Psychiatry, Department of Psychiatry, University Hospital of Lausanne, Lausanne, Switzerland
| | - Danielle Posthuma
- Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, VU Amsterdam, Amsterdam, The Netherlands
| | - Ana Pozueta
- Cognitive Impairment Unit, Neurology Service, "Marqués de Valdecilla" University Hospital, Institute for Research "Marques de Valdecilla" (IDIVAL), University of Cantabria, Santander, Spain, and Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - Josef Priller
- German Center for Neurodegenerative Diseases (DZNE), Berlin, Germany
- Department of Psychiatry and Psychotherapy, Charité, Charitéplatz 1, 10117, Berlin, Germany
- Department of Psychiatry and Psychotherapy, Klinikum rechts der isar, Technical University Munich, 81675, Munich, Germany
| | - Raquel Puerta
- Research Center and Memory Clinic, Ace Alzheimer Center Barcelona, Universitat Internacional de Catalunya, Barcelona, Spain
| | - Inés Quintela
- Grupo de Medicina Xenómica, Centro Nacional de Genotipado (CEGEN-PRB3-ISCIII), Universidade de Santiago de Compostela, Santiago de Compostela, Spain
| | - Inez Ramakers
- Department of Psychiatry and Neuropsychologie, Alzheimer Center Limburg, Maastricht University, Maastricht, The Netherlands
| | - Eloy Rodriguez-Rodriguez
- Cognitive Impairment Unit, Neurology Service, "Marqués de Valdecilla" University Hospital, Institute for Research "Marques de Valdecilla" (IDIVAL), University of Cantabria, Santander, Spain, and Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - Dan Rujescu
- Division of General Psychiatry, Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - Ingvild Saltvedt
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
- Department of Geriatrics, St Olav Hospital, University Hospital of Trondheim, Trondheim, Norway
| | | | - Philip Scheltens
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
| | - Norbert Scherbaum
- Department of Psychiatry and Psychotherapy, Medical Faculty, LVR-Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Matthias Schmid
- Institute of Medical Biometry, Informatics and Epidemiology, University Hospital of Bonn, Bonn, Germany
| | - Anja Schneider
- Department of Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Medical Faculty, Bonn, Germany
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Geir Selbæk
- Norwegian National Centre for Ageing and Health, Vestfold Hospital Trust, Tønsberg, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Geriatric Medicine, Oslo University Hospital, Oslo, Norway
| | - Per Selnes
- Department of Neurology, Akershus University Hospital, Lorenskog, Norway
| | - Alexey Shadrin
- NORMENT Centre, Institute of Clinical Medicine, University of Oslo and Division of Mental Health, Oslo, Norway
| | - Ingmar Skoog
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, Centre for Ageing and Health (AGECAP) at the University of Gothenburg, Gothenburg, Sweden
- Region Västra Götaland, Sahlgrenska University Hospital, Psychiatry, Cognition and Old Age Psychiatry Clinic, Gothenburg, Sweden
| | - Hilkka Soininen
- Department of Neurology, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
| | - Lluís Tárraga
- Research Center and Memory Clinic, Ace Alzheimer Center Barcelona, Universitat Internacional de Catalunya, Barcelona, Spain
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
| | - Stefan Teipel
- German Center for Neurodegenerative Diseases (DZNE), Rostock, Germany
- Department of Psychosomatic Medicine, Rostock University Medical Center, Gehlsheimer Str. 20, 18147, Rostock, Germany
| | - Betty Tijms
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
| | - Magda Tsolaki
- 1st Department of Neurology, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki, Makedonia, Greece
| | - Christine Van Broeckhoven
- Department of Biomedical Sciences, University of Antwerp, Antwerp, Belgium
- Neurodegenerative Brain Diseases Group, VIB Center for Molecular Neurology, VIB, Antwerp, Belgium
| | - Jasper Van Dongen
- Complex Genetics of Alzheimer's Disease Group, VIB Center for Molecular Neurology, VIB, Antwerp, Belgium
- Department of Biomedical Sciences, University of Antwerp, Antwerp, Belgium
| | - John C van Swieten
- Department of Neurology and Alzheimer Center Erasmus MC, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Rik Vandenberghe
- Neurology, University Hospitals Leuven, Leuven, Belgium
- Laboratory for Cognitive Neurology, Department of Neurosciences, Leuven Brain Institute, Leuven, Belgium
| | | | - Pieter J Visser
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
- Alzheimer Center Limburg, School for Mental Health and Neuroscience Maastricht University, Maastricht, The Netherlands
- Department of Neurobiology, Care Sciences and Society, Division of Neurogeriatrics Karolinska Institutet, Stockholm, Sweden
| | - Jonathan Vogelgsang
- Department of Psychiatry and Psychotherapy, University Medical Center Goettingen, Göttingen, Germany
- Department of Psychiatry, Harvard Medical School, McLean Hospital, Belmont, MA, USA
| | - Margda Waern
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, Centre for Ageing and Health (AGECAP) at the University of Gothenburg, Gothenburg, Sweden
- Region Västra Götaland, Sahlgrenska University Hospital, Psychiatry, Psychosis Clinic, Gothenburg, Sweden
| | - Michael Wagner
- Department of Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Medical Faculty, Bonn, Germany
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Jens Wiltfang
- Department of Psychiatry and Psychotherapy, University Medical Center Goettingen, Göttingen, Germany
- German Center for Neurodegenerative Diseases (DZNE), Göttingen, Germany
- Medical Science Department, iBiMED, Aveiro, Portugal
| | - Mandy M J Wittens
- Department of Biomedical Sciences, University of Antwerp, Antwerp, Belgium
- Center for Neurosciences (C4N), Vrije Universiteit Brussel, Brussels, Belgium
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK
- UK Dementia Research Institute at UCL, London, UK
- Hong Kong Center for Neurodegenerative Diseases, Hong Kong, China
| | - Miren Zulaica
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
- Hospital Universitario Donostia-OSAKIDETZA, Donostia, Spain
- Instituto Biodonostia, San Sebastián, Spain
| | - Cornelia M van Duijn
- Department of Epidemiology, ErasmusMC, Rotterdam, The Netherlands
- Nuffield Department of Population Health, Oxford University, Oxford, UK
| | - Maria Bjerke
- Department of Biomedical Sciences, University of Antwerp, Antwerp, Belgium
- Center for Neurosciences (C4N), Vrije Universiteit Brussel, Brussels, Belgium
- Laboratory of Neurochemistry, Universitair Ziekenhuis Brussel, Brussels, Belgium
| | - Sebastiaan Engelborghs
- Department of Biomedical Sciences, University of Antwerp, Antwerp, Belgium
- Center for Neurosciences (C4N), Vrije Universiteit Brussel, Brussels, Belgium
- Laboratory of Neurochemistry, Universitair Ziekenhuis Brussel, Brussels, Belgium
- Department of Neurology, Universitair Ziekenhuis Brussel, Brussels, Belgium
| | - Frank Jessen
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
- Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
- Cluster of Excellence Cellular Stress Responses in Aging-Associated Diseases (CECAD), University of Cologne, Cologne, Germany
| | - Charlotte E Teunissen
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
- Neurochemistry Lab, Department of Clinical Chemistry, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Pau Pastor
- Unit of Neurodegenerative diseases, Department of Neurology, University Hospital Germans Trias i Pujol and The Germans Trias i Pujol Research Institute (IGTP) Badalona, Barcelona, Spain
| | - Mikko Hiltunen
- Institute of Biomedicine, University of Eastern Finland, Kuopio, Finland
| | - Martin Ingelsson
- Department of Public Health and Caring Sciences, Molecular Geriatrics, Rudbeck Laboratory, Uppsala University, Uppsala, Sweden
- Krembil Brain Institute, University Health Network, Toronto, Ontario, Canada
- Department of Medicine and Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, Canada
| | - Ole A Andreassen
- NORMENT Centre, Institute of Clinical Medicine, University of Oslo and Division of Mental Health, Oslo, Norway
- Addiction, Oslo University Hospital, 0407, Oslo, Norway
| | - Jordi Clarimón
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
- Sant Pau Memory Unit, Department of Neurology, Institut d'Investigacions Biomèdiques Sant Pau - Hospital de Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Kristel Sleegers
- Complex Genetics of Alzheimer's Disease Group, VIB Center for Molecular Neurology, VIB, Antwerp, Belgium
- Department of Biomedical Sciences, University of Antwerp, Antwerp, Belgium
| | - Agustín Ruiz
- Research Center and Memory Clinic, Ace Alzheimer Center Barcelona, Universitat Internacional de Catalunya, Barcelona, Spain
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
| | - Alfredo Ramirez
- Division of Neurogenetics and Molecular Psychiatry, Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
- Department of Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Medical Faculty, Bonn, Germany
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
- Cluster of Excellence Cellular Stress Responses in Aging-Associated Diseases (CECAD), University of Cologne, Cologne, Germany
- Department of Psychiatry, Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, San Antonio, TX, USA
| | - Carlos Cruchaga
- Department of Psychiatry, Washington University School of Medicine, St Louis, MO, USA
- NeuroGenomics and Informatics, Washington University School of Medicine, St Louis, MO, USA
- Hope Center for Neurological Disorders, Washington University School of Medicine, St Louis, MO, USA
| | - Jean-Charles Lambert
- Univ. Lille, Inserm, CHU Lille, Institut Pasteur de Lille, U1167 - RID-AGE / Labex DISTALZ - Facteurs de risque et déterminants moléculaires des maladies liées au vieillissement, F-59000, Lille, France
| | - Wiesje van der Flier
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands.
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands.
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Mehta K, Mohebbi M, Pasco JA, Williams LJ, Walder K, Ng BL, Gupta VB. Genetic polymorphism in BIN1 rather than APOE is associated with poor recognition memory among men without dementia. Sci Rep 2022; 12:17802. [PMID: 36280690 PMCID: PMC9592585 DOI: 10.1038/s41598-022-20587-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Accepted: 09/15/2022] [Indexed: 01/19/2023] Open
Abstract
Although several genetic polymorphisms have been linked with the risk of Alzheimer's disease, less is known about their impact on cognitive performance among cognitively healthy individuals. Our aim was to investigate the association of the genetic variant, rs744373 in the bridging integrator 1 gene (BIN1), the strongest genetic risk factor for Alzheimer's disease after the APOE ε4 allele, with different cognitive domains among non-demented older men. Cognitive function was measured using the CogState Brief Battery, which assessed cognitive performance across four domains: psychomotor function, visual attention, recognition memory and working memory. Linear regression analysis revealed that individuals with the BIN1 risk allele performed poorly on the recognition memory task as compared to those without the risk allele. However, this was in contrast with the individuals who harboured the APOE ε4 risk allele as they displayed better performance on the recognition task in comparison to those without the ε4 risk allele. To the best of our knowledge, this is the first study that demonstrates genetic variation in BIN1 to be a better predictor of recognition memory than APOE, which remains the biggest genetic risk factor for Alzheimer's disease.
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Affiliation(s)
- Kanika Mehta
- grid.1021.20000 0001 0526 7079Deakin University, IMPACT – The Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Geelong, VIC Australia
| | - Mohammadreza Mohebbi
- grid.1021.20000 0001 0526 7079Deakin University, IMPACT – The Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Geelong, VIC Australia ,grid.1021.20000 0001 0526 7079Biostatistics Unit, Faculty of Health, Deakin University, Burwood, VIC Australia
| | - Julie A. Pasco
- grid.1021.20000 0001 0526 7079Deakin University, IMPACT – The Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Geelong, VIC Australia ,grid.1008.90000 0001 2179 088XDepartment of Medicine-Western Health, The University of Melbourne, St Albans, VIC, Australia ,grid.1002.30000 0004 1936 7857Department of Epidemiology and Preventive Medicine, Monash University, Prahran, VIC Australia ,grid.414257.10000 0004 0540 0062Barwon Health, Geelong, VIC Australia
| | - Lana J. Williams
- grid.1021.20000 0001 0526 7079Deakin University, IMPACT – The Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Geelong, VIC Australia
| | - Ken Walder
- grid.1021.20000 0001 0526 7079Deakin University, IMPACT – The Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Geelong, VIC Australia
| | - Boon Lung Ng
- grid.414257.10000 0004 0540 0062Department of Geriatric Medicine, Barwon Health, Geelong, VIC Australia
| | - Veer Bala Gupta
- grid.1021.20000 0001 0526 7079Deakin University, IMPACT – The Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Geelong, VIC Australia
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Li L, Yu X, Sheng C, Jiang X, Zhang Q, Han Y, Jiang J. A review of brain imaging biomarker genomics in Alzheimer’s disease: implementation and perspectives. Transl Neurodegener 2022; 11:42. [PMID: 36109823 PMCID: PMC9476275 DOI: 10.1186/s40035-022-00315-z] [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: 05/17/2022] [Accepted: 08/24/2022] [Indexed: 11/25/2022] Open
Abstract
Alzheimer’s disease (AD) is a progressive neurodegenerative disease with phenotypic changes closely associated with both genetic variants and imaging pathology. Brain imaging biomarker genomics has been developed in recent years to reveal potential AD pathological mechanisms and provide early diagnoses. This technique integrates multimodal imaging phenotypes with genetic data in a noninvasive and high-throughput manner. In this review, we summarize the basic analytical framework of brain imaging biomarker genomics and elucidate two main implementation scenarios of this technique in AD studies: (1) exploring novel biomarkers and seeking mutual interpretability and (2) providing a diagnosis and prognosis for AD with combined use of machine learning methods and brain imaging biomarker genomics. Importantly, we highlight the necessity of brain imaging biomarker genomics, discuss the strengths and limitations of current methods, and propose directions for development of this research field.
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25
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Frontzkowski L, Ewers M, Brendel M, Biel D, Ossenkoppele R, Hager P, Steward A, Dewenter A, Römer S, Rubinski A, Buerger K, Janowitz D, Binette AP, Smith R, Strandberg O, Carlgren NM, Dichgans M, Hansson O, Franzmeier N. Earlier Alzheimer’s disease onset is associated with tau pathology in brain hub regions and facilitated tau spreading. Nat Commun 2022; 13:4899. [PMID: 35987901 PMCID: PMC9392750 DOI: 10.1038/s41467-022-32592-7] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Accepted: 08/08/2022] [Indexed: 12/20/2022] Open
Abstract
AbstractIn Alzheimer’s disease (AD), younger symptom onset is associated with accelerated disease progression and tau spreading, yet the mechanisms underlying faster disease manifestation are unknown. To address this, we combined resting-state fMRI and longitudinal tau-PET in two independent samples of controls and biomarker-confirmed AD patients (ADNI/BioFINDER, n = 240/57). Consistent across both samples, we found that younger symptomatic AD patients showed stronger tau-PET in globally connected fronto-parietal hubs, i.e., regions that are critical for maintaining cognition in AD. Stronger tau-PET in hubs predicted faster subsequent tau accumulation, suggesting that tau in globally connected regions facilitates connectivity-mediated tau spreading. Further, stronger tau-PET in hubs mediated the association between younger age and faster tau accumulation in symptomatic AD patients, which predicted faster cognitive decline. These independently validated findings suggest that younger AD symptom onset is associated with stronger tau pathology in brain hubs, and accelerated tau spreading throughout connected brain regions and cognitive decline.
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26
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Heal M, McFall GP, Vergote D, Jhamandas JH, Westaway D, Dixon RA. Bridging Integrator 1 (BIN1, rs6733839) and Sex Are Moderators of Vascular Health Predictions of Memory Aging Trajectories. J Alzheimers Dis 2022; 89:265-281. [DOI: 10.3233/jad-220334] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Background: A promising risk loci for sporadic Alzheimer’s disease (AD), Bridging Integrator 1 (BIN1), is thought to operate through the tau pathology pathway. Objective: We examine BIN1 risk for a moderating role with vascular health (pulse pressure; PP) and sex in predictions of episodic memory trajectories in asymptomatic aging adults. Methods: The sample included 623 participants (Baseline Mean age = 70.1; 66.8% female) covering a 44-year longitudinal band (53–97 years). With an established memory latent variable arrayed as individualized trajectories, we applied Mplus 8.5 to determine the best fitting longitudinal growth model. Main analyses were conducted in three sequential phases to investigate: 1) memory trajectory prediction by PP, 2) moderation by BIN1 genetic risk, and 3) stratification by sex. Results: We first confirmed that good vascular health (lower PP) was associated with higher memory level and shallower decline and males were more severely affected by worsening PP in both memory performance and longitudinal decline. Second, the PP prediction of memory trajectories was significant for BIN1 C/C and C/T carriers but not for persons with the highest AD risk (T/T homozygotes). Third, when further stratified by sex, the BIN1 moderation of memory prediction by PP was selective for females. Conclusion: We observed a novel interaction whereby BIN1 (linked with tauopathy in AD) and sex sequentially moderated a benchmark PP prediction of differential memory decline in asymptomatic aging. This multi-modal biomarker interaction approach, disaggregated by sex, can be an effective method for enhancing precision of AD genetic risk assessment.
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Affiliation(s)
- Mackenzie Heal
- Neuroscience and Mental Health Institute, University of Alberta, Edmonton, Alberta, Canada
| | - G. Peggy McFall
- Neuroscience and Mental Health Institute, University of Alberta, Edmonton, Alberta, Canada
- Department of Psychology, University of Alberta, Edmonton, Alberta, Canada
| | - David Vergote
- Faculté Saint-Jean, University of Alberta, Edmonton, Alberta, Canada
| | - Jack H. Jhamandas
- Neuroscience and Mental Health Institute, University of Alberta, Edmonton, Alberta, Canada
- Department of Medicine (Neurology), University of Alberta, Edmonton, Alberta, Canada
| | - David Westaway
- Neuroscience and Mental Health Institute, University of Alberta, Edmonton, Alberta, Canada
- Center for Prions and Protein Folding Diseases, University of Alberta, Edmonton, Alberta, Canada
| | - Roger A. Dixon
- Neuroscience and Mental Health Institute, University of Alberta, Edmonton, Alberta, Canada
- Department of Psychology, University of Alberta, Edmonton, Alberta, Canada
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27
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Abdul Aziz M, Md Ashraf G, Safiqul Islam M. Link of BIN1, CLU and IDE gene polymorphisms with the susceptibility of Alzheimer's disease: evidence from a meta-analysis. Curr Alzheimer Res 2022; 19:302-316. [PMID: 35546756 DOI: 10.2174/1567205019666220511140955] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2021] [Revised: 02/15/2022] [Accepted: 03/06/2022] [Indexed: 11/22/2022]
Abstract
BACKGROUND Alzheimer's disease (AD) is the most common form of neurodegenerative disorder. The association of BIN1, CLU and IDE genetic polymorphisms with AD risk have been evaluated overtimes that produced conflicting outcomes. OBJECTIVE We performed this meta-analysis to investigate the contribution of BIN1 (rs744373 and rs7561528), CLU (rs11136000 and rs9331888), and IDE (rs1887922) polymorphisms to AD risk. METHODS From a systemic literature search up to July 15, 2021, we included 25 studies with rs744373, 16 studies with rs7561528, 37 studies with rs11136000, 16 studies with rs9331888, and 4 studies with rs1887922. To analyze the correlation, we constructed seven genetic models that used odds ratio and 95% confidence intervals. We used RevMan 5.4 for meta-analysis. RESULTS Our study suggests that BIN1 rs744373 is associated with a significantly increased risk of AD in five genetic models (OR>1). Again, CLU rs11136000 showed reduced association in all genetic models (OR<1). CLU rs9331888 revealed an increased association in two models (OR>1). The IDE rs1887922 showed significantly increased risk in four models (OR>1). From subgroup analysis, a significantly increased risk of AD was observed in Caucasians and Asians for BIN1 rs744373. Again, BIN1 rs7561528 showed a significantly enhanced risk of AD only in Caucasians. CLU rs11136000 showed significantly reduced risk in Caucasians but rs9331888 showed increased risk in the same ethnicity. CONCLUSION Our meta-analysis confirms the association of BIN1 rs744373, CLU rs9331888 and IDE rs1887922 polymorphisms with an increased risk of AD, especially in Caucasians. Again, CLU rs11136000 is associated with reduced AD risk in the overall population and Caucasians.
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Affiliation(s)
- Md Abdul Aziz
- Department of Pharmacy, Faculty of Pharmacy and Health Sciences, State University of Bangladesh, Dhaka-1205, Bangladesh
| | - Ghulam Md Ashraf
- Pre-Clinical Research Unit, King Fahd Medical Research Center, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Mohammad Safiqul Islam
- Laboratory of Pharmacogenomics and Molecular Biology, Department of Pharmacy, Faculty of Science, Noakhali Science and Technology University, Sonapur-3814, Noakhali, Bangladesh
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28
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Stage E, Risacher SL, Lane KA, Gao S, Nho K, Saykin AJ, Apostolova LG. Association of the top 20 Alzheimer's disease risk genes with [ 18F]flortaucipir PET. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2022; 14:e12308. [PMID: 35592828 PMCID: PMC9092485 DOI: 10.1002/dad2.12308] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Revised: 03/03/2022] [Accepted: 03/07/2022] [Indexed: 04/12/2023]
Abstract
Introduction We previously reported genetic associations of the top Alzheimer's disease (AD) risk alleles with amyloid deposition and neurodegeneration. Here, we report the association of these variants with [18F]flortaucipir standardized uptake value ratio (SUVR). Methods We analyzed the [18F]flortaucipir scans of 352 cognitively normal (CN), 160 mild cognitive impairment (MCI), and 54 dementia (DEM) participants from Alzheimer's Disease Neuroimaging Initiative (ADNI)2 and 3. We ran step-wise regression with log-transformed [18F]flortaucipir meta-region of interest SUVR as the outcome measure and genetic variants, age, sex, and apolipoprotein E (APOE) ε4 as predictors. The results were visualized using parametric mapping at familywise error cluster-level-corrected P < .05. Results APOE ε4 showed significant (P < .05) associations with tau deposition across all disease stages. Other significantly associated genes include variants in ABCA7 in CN, CR1 in MCI, BIN1 and CASS4 in MCI and dementia participants. Discussion We found significant associations to tau deposition for ABCA7, BIN1, CASS4, and CR1, in addition to APOE ε4. These four variants have been previously associated with tau metabolism through model systems.
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Affiliation(s)
- Eddie Stage
- Department of NeurologyIndiana University School of MedicineIndianapolisIndianaUSA
| | - Shannon L. Risacher
- Department of Radiology and Imaging SciencesIndiana University School of MedicineIndianapolisIndianaUSA
| | - Kathleen A. Lane
- Department of BiostatisticsIndiana University School of MedicineIndianapolisIndianaUSA
| | - Sujuan Gao
- Department of BiostatisticsIndiana University School of MedicineIndianapolisIndianaUSA
| | - Kwangsik Nho
- Department of Radiology and Imaging SciencesIndiana University School of MedicineIndianapolisIndianaUSA
| | - Andrew J. Saykin
- Department of NeurologyIndiana University School of MedicineIndianapolisIndianaUSA
- Department of Radiology and Imaging SciencesIndiana University School of MedicineIndianapolisIndianaUSA
| | - Liana G. Apostolova
- Department of NeurologyIndiana University School of MedicineIndianapolisIndianaUSA
- Department of Radiology and Imaging SciencesIndiana University School of MedicineIndianapolisIndianaUSA
- Department of Medical and Molecular GeneticsIndiana University School of MedicineIndianapolisIndianaUSA
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Li S, An N, Chen N, Wang Y, Yang L, Wang Y, Yao Z, Hu B. The impact of Alzheimer's disease susceptibility loci on lateral ventricular surface morphology in older adults. Brain Struct Funct 2022; 227:913-924. [PMID: 35028746 DOI: 10.1007/s00429-021-02429-y] [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: 01/22/2021] [Accepted: 11/13/2021] [Indexed: 11/25/2022]
Abstract
The enlargement of ventricular volume is a general trend in the elderly, especially in patients with Alzheimer's disease (AD). Multiple susceptibility loci have been reported to have an increased risk for AD and the morphology of brain structures are affected by the variations in the risk loci. Therefore, we hypothesized that genes contributed significantly to the ventricular surface, and the changes of ventricular surface were associated with the impairment of cognitive functions. After the quality controls (QC) and genotyping, a lateral ventricular segmentation method was employed to obtain the surface features of lateral ventricle. We evaluated the influence of 18 selected AD susceptibility loci on both volume and surface morphology across 410 subjects from Alzheimer's Disease Neuroimaging Initiative (ADNI). Correlations were conducted between radial distance (RD) and Montreal Cognitive Assessment (MoCA) subscales. Only the C allele at the rs744373 loci in BIN1 gene significantly accelerated the atrophy of lateral ventricle, including the anterior horn, body, and temporal horn of left lateral ventricle. No significant effect on lateral ventricle was found at other loci. Our results revealed that most regions of the bilateral ventricular surface were significantly negatively correlated with cognitive scores, particularly in delayed recall. Besides, small areas of surface were negatively correlated with language, orientation, and visuospatial scores. Together, our results indicated that the genetic variation affected the localized areas of lateral ventricular surface, and supported that lateral ventricle was an important brain structure associated with cognition in the elderly.
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Affiliation(s)
- Shan Li
- Gansu Provincial Key Laboratory of Wearable Computing, School of Information Science and Engineering, Lanzhou University, No. 222 South Tianshui Road, Lanzhou, 730000, Gansu Province, People's Republic of China
| | - Na An
- Gansu Provincial Key Laboratory of Wearable Computing, School of Information Science and Engineering, Lanzhou University, No. 222 South Tianshui Road, Lanzhou, 730000, Gansu Province, People's Republic of China
| | - Nan Chen
- Gansu Provincial Key Laboratory of Wearable Computing, School of Information Science and Engineering, Lanzhou University, No. 222 South Tianshui Road, Lanzhou, 730000, Gansu Province, People's Republic of China
| | - Yin Wang
- Gansu Provincial Key Laboratory of Wearable Computing, School of Information Science and Engineering, Lanzhou University, No. 222 South Tianshui Road, Lanzhou, 730000, Gansu Province, People's Republic of China
| | - Lin Yang
- Gansu Provincial Key Laboratory of Wearable Computing, School of Information Science and Engineering, Lanzhou University, No. 222 South Tianshui Road, Lanzhou, 730000, Gansu Province, People's Republic of China
| | - Yalin Wang
- School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, AZ, USA
| | - Zhijun Yao
- Gansu Provincial Key Laboratory of Wearable Computing, School of Information Science and Engineering, Lanzhou University, No. 222 South Tianshui Road, Lanzhou, 730000, Gansu Province, People's Republic of China.
| | - Bin Hu
- Gansu Provincial Key Laboratory of Wearable Computing, School of Information Science and Engineering, Lanzhou University, No. 222 South Tianshui Road, Lanzhou, 730000, Gansu Province, People's Republic of China.
- CAS Center for Excellence in Brain Science and Intelligence Technology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, ShangHai, China.
- Joint Research Center for Cognitive Neurosensor Technology of Lanzhou University and Institute of Semiconductors, Chinese Academy of Sciences, LanZhou, China.
- Engineering Research Center of Open Source Software and Real-Time System, Ministry of Education, Lanzhou University, Lanzhou, China.
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Schaeverbeke J, Luckett ES, Gabel S, Reinartz M, De Meyer S, Cleynen I, Sleegers K, Van Broeckhoven C, Bormans G, Serdons K, Van Laere K, Dupont P, Vandenberghe R. Lack of association between bridging integrator 1 ( BIN1) rs744373 polymorphism and tau-PET load in cognitively intact older adults. ALZHEIMER'S & DEMENTIA (NEW YORK, N. Y.) 2022; 8:e12227. [PMID: 35229019 PMCID: PMC8864573 DOI: 10.1002/trc2.12227] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/22/2021] [Revised: 08/06/2021] [Accepted: 11/15/2021] [Indexed: 11/29/2022]
Abstract
INTRODUCTION The bridging integrator 1(BIN1) rs744373 risk polymorphism has been linked to increased [18F]AV1451 signal in non-demented older adults (ie., mild cognitive impairment [MCI] plus cognitively normal [CN] individuals). However, the association of BIN1 with in vivo tau, amyloid beta (Aβ) burden, and cognitive impairment in the asymptomatic stage of Alzheimer's disease (AD) remains unknown. METHODS The BIN1 effect on [18F]AV1451 binding was evaluated in 59 cognitively normal (CN) participants (39% apolipoprotein E [APOE ε4]) from the Flemish Prevent AD Cohort KU Leuven (F-PACK), as well as in 66 Alzheimer's Disease Neuroimaging Initiative (ADNI) CN participants, using voxelwise and regional statistics. For comparison, 52 MCI patients from ADNI were also studied. RESULTS Forty-four percent of F-PACK participants were BIN1 rs744373 risk-allele carriers, 21% showed high amyloid burden, and 8% had elevated [18F]AV1451 binding. In ADNI, 53% and 50% of CNs and MCIs, respectively, carried the BIN1 rs744373 risk-allele. Amyloid positivity was present in 23% of CNs and 51% of MCIs, whereas 2% of CNs and 35% of MCIs showed elevated [18F]AV1451 binding. There was no significant effect of BIN1 on voxelwise or regional [18F]AV1451 in F-PACK or ADNI CNs, or in the pooled CN sample. No significant association between BIN1 and [18F]AV1451 was obtained in ADNI MCI patients. However, in the MCI group, numerically higher [18F]AV1451 binding was observed in the BIN1 risk-allele group compared to the BIN1 normal group in regions corresponding to more progressed tau pathology. DISCUSSION We could not confirm the association between BIN1 rs744373 risk-allele and elevated [18F]AV1451 signal in CN older adults or MCI. Numerically higher [18F]AV1451 binding was observed, however, in the MCI BIN1 risk-allele group, indicating that the previously reported positive effect may be confounded by group. Therefore, when studying how the BIN1 risk polymorphism influences AD pathogenesis, a distinction should be made between asymptomatic, MCI, and dementia stages of AD.
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Affiliation(s)
- Jolien Schaeverbeke
- Department of Neurosciences, Laboratory for Cognitive NeurologyLeuven Brain Institute, KU LeuvenLeuvenBelgium
- Department of Imaging and Pathology, Laboratory of NeuropathologyLeuven Brain Institute, KU LeuvenLeuvenBelgium
| | - Emma S Luckett
- Department of Neurosciences, Laboratory for Cognitive NeurologyLeuven Brain Institute, KU LeuvenLeuvenBelgium
| | - Silvy Gabel
- Department of Neurosciences, Laboratory for Cognitive NeurologyLeuven Brain Institute, KU LeuvenLeuvenBelgium
| | - Mariska Reinartz
- Department of Neurosciences, Laboratory for Cognitive NeurologyLeuven Brain Institute, KU LeuvenLeuvenBelgium
| | - Steffi De Meyer
- Department of Neurosciences, Laboratory for Molecular Neurobiomarker ResearchLeuven Brain Institute, KU LeuvenLeuvenBelgium
| | | | - Kristel Sleegers
- VIB‐UAntwerp Center for Molecular NeurologyAntwerpBelgium
- Department of Biomedical SciencesUniversity of AntwerpAntwerpBelgium
| | - Christine Van Broeckhoven
- VIB‐UAntwerp Center for Molecular NeurologyAntwerpBelgium
- Department of Biomedical SciencesUniversity of AntwerpAntwerpBelgium
| | - Guy Bormans
- Laboratory for Radiopharmaceutical ResearchKU LeuvenLeuvenBelgium
| | - Kim Serdons
- Division of Nuclear MedicineUZ LeuvenLeuvenBelgium
| | - Koen Van Laere
- Division of Nuclear MedicineUZ LeuvenLeuvenBelgium
- Department of Imaging and Pathology, Nuclear Medicine and Molecular ImagingKU LeuvenLeuvenBelgium
| | - Patrick Dupont
- Department of Neurosciences, Laboratory for Cognitive NeurologyLeuven Brain Institute, KU LeuvenLeuvenBelgium
| | - Rik Vandenberghe
- Department of Neurosciences, Laboratory for Cognitive NeurologyLeuven Brain Institute, KU LeuvenLeuvenBelgium
- Department of NeurologyUZ LeuvenLeuvenBelgium
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Lambert E, Saha O, Soares Landeira B, Melo de Farias AR, Hermant X, Carrier A, Pelletier A, Gadaut J, Davoine L, Dupont C, Amouyel P, Bonnefond A, Lafont F, Abdelfettah F, Verstreken P, Chapuis J, Barois N, Delahaye F, Dermaut B, Lambert JC, Costa MR, Dourlen P. The Alzheimer susceptibility gene BIN1 induces isoform-dependent neurotoxicity through early endosome defects. Acta Neuropathol Commun 2022; 10:4. [PMID: 34998435 PMCID: PMC8742943 DOI: 10.1186/s40478-021-01285-5] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2021] [Accepted: 10/23/2021] [Indexed: 02/08/2023] Open
Abstract
The Bridging Integrator 1 (BIN1) gene is a major susceptibility gene for Alzheimer’s disease (AD). Deciphering its pathophysiological role is challenging due to its numerous isoforms. Here we observed in Drosophila that human BIN1 isoform1 (BIN1iso1) overexpression, contrary to human BIN1 isoform8 (BIN1iso8) and human BIN1 isoform9 (BIN1iso9), induced an accumulation of endosomal vesicles and neurodegeneration. Systematic search for endosome regulators able to prevent BIN1iso1-induced neurodegeneration indicated that a defect at the early endosome level is responsible for the neurodegeneration. In human induced neurons (hiNs) and cerebral organoids, BIN1 knock-out resulted in the narrowing of early endosomes. This phenotype was rescued by BIN1iso1 but not BIN1iso9 expression. Finally, BIN1iso1 overexpression also led to an increase in the size of early endosomes and neurodegeneration in hiNs. Altogether, our data demonstrate that the AD susceptibility gene BIN1, and especially BIN1iso1, contributes to early-endosome size deregulation, which is an early pathophysiological hallmark of AD pathology.
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Chang HI, Chang YT, Huang CW, Huang KL, Hsu JL, Hsu SW, Tsai SJ, Chang WN, Lee CC, Huang SH, Chang CC. Structural Covariance Network as an Endophenotype in Alzheimer's Disease-Susceptible Single-Nucleotide Polymorphisms and the Correlations With Cognitive Outcomes. Front Aging Neurosci 2022; 13:721217. [PMID: 34975449 PMCID: PMC8719443 DOI: 10.3389/fnagi.2021.721217] [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: 06/06/2021] [Accepted: 11/04/2021] [Indexed: 11/20/2022] Open
Abstract
The cognitive manifestations of Alzheimer’s disease (AD) are related to brain network degeneration, and genetic differences may mediate network degeneration. Several AD-susceptible loci have been reported to involve amyloid or tau cascades; however, their relationships with gray matter (GM) volume and cognitive outcomes have yet to be established. We hypothesized that single-nucleotide polymorphism genotype groups may interact with apolipoprotein E4 (ApoE4) status or independently exert an effect on cognitive outcomes. We also hypothesized that GM structural covariance networks (SCNs) may serve as an endophenotype of the genetic effect, which, in turn, may be related to neurobehavior test scores. Gray matter SCNs were constructed in 324 patients with AD using T1 magnetic resonance imaging with independent component analysis (ICA). We assessed the effects of 15 genetic loci (rs9349407, rs3865444, rs670139, rs744373, rs3851179, rs11136000, rs3764650, rs610932, rs6887649, rs7849530, rs4866650, rs3765728, rs34011, rs6656401, and rs597668) using additive, recessive, and dominant models on cognitive outcomes. Statistical analysis was performed to explore the independent role of each locus, interactions with ApoE4 status, and relationships to GM ICA network intensity score. For outcome measures, we used the Mini-Mental State Examination (MMSE), Cognitive Abilities Screening Instrument (CASI) total score, and short-term memory (STM) subscores, adjusted for the covariates of education, disease duration, and age. Clinically, the CD2AP G allele showed a protective role in MMSE, CASI total, and CASI-STM scores independently or via interactions with non-ApoE4 status, while the CR1 A genotype group was associated with lower STM subscores independent of ApoE4 status. Three loci showed synergic interactions with ApoE4: BIN 1, MS4A6A, and FTMT. Of the 15 meaningful ICA components, 5 SCNs (anterior and posterior hippocampus, right temporal, left thalamus, default mode network) showed relationships with general cognitive performance, in which only the ApoE4 and MS4A6A genotype groups were independently related to the hippocampus network. The genetic loci MS4A6A, BIN1, CLU, CR1, BIN1, PICALM, and FGF1 influenced the networks independently or in synergy. This study suggests that AD-susceptible loci may each exert clinical significance independently through interactions with ApoE4 status or through SCNs as an endophenotype and that this effect is associated with the cognitive outcomes.
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Affiliation(s)
- Hsin-I Chang
- Department of Neurology, Cognition and Aging Center, Institute for Translational Research in Biomedicine, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung, Taiwan
| | - Yu-Tzu Chang
- Division of Nephrology, Department of Internal Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Chi-Wei Huang
- Department of Neurology, Cognition and Aging Center, Institute for Translational Research in Biomedicine, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung, Taiwan
| | - Kuo-Lun Huang
- Department of Neurology, Chang Gung Memorial Hospital Linkou Medical Center and College of Medicine, Neuroscience Research Center, Chang Gung University, Taoyuan City, Taiwan
| | - Jung-Lung Hsu
- Department of Neurology, Chang Gung Memorial Hospital Linkou Medical Center and College of Medicine, Neuroscience Research Center, Chang Gung University, Taoyuan City, Taiwan.,Department of Neurology, New Taipei Municipal TuCheng Hospital, New Taipei City, Taiwan.,Graduate Institute of Mind, Brain, and Consciousness, Taipei and Brain and Consciousness Research Center, TMU Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan
| | - Shih-Wei Hsu
- Department of Radiology, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung, Taiwan
| | - Shih-Jen Tsai
- Psychiatric Department of Taipei Veterans General Hospital, Taipei, Taiwan.,Psychiatric Division, School of Medicine, National Yang-Ming University, Taipei City, Taiwan
| | - Wen-Neng Chang
- Department of Neurology, Cognition and Aging Center, Institute for Translational Research in Biomedicine, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung, Taiwan
| | - Chen-Chang Lee
- Department of Radiology, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung, Taiwan
| | - Shu-Hua Huang
- Department of Nuclear Medicine, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung, Taiwan
| | - Chiung-Chih Chang
- Department of Neurology, Cognition and Aging Center, Institute for Translational Research in Biomedicine, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung, Taiwan
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Sun Y, Zhou D, Rahman MR, Zhu J, Ghoneim D, Cox NJ, Beach TG, Wu C, Gamazon ER, Wu L. A transcriptome-wide association study identifies novel blood-based gene biomarker candidates for Alzheimer's disease risk. Hum Mol Genet 2021; 31:289-299. [PMID: 34387340 PMCID: PMC8831284 DOI: 10.1093/hmg/ddab229] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2021] [Revised: 07/12/2021] [Accepted: 07/23/2021] [Indexed: 11/12/2022] Open
Abstract
Alzheimer's disease (ad) adversely affects the health, quality of life and independence of patients. There is a critical need to identify novel blood gene biomarkers for ad risk assessment. We performed a transcriptome-wide association study to identify biomarker candidates for ad risk. We leveraged two sets of gene expression prediction models of blood developed using different reference panels and modeling strategies. By applying the prediction models to a meta-GWAS including 71 880 (proxy) cases and 383 378 (proxy) controls, we identified significant associations of genetically determined expression of 108 genes in blood with ad risk. Of these, 15 genes were differentially expressed between ad patients and controls with concordant directions in measured expression data. With evidence from the analyses based on both genetic instruments and directly measured expression levels, this study identifies 15 genes with strong support as biomarkers in blood for ad risk, which may enhance ad risk assessment and mechanism-focused studies.
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Affiliation(s)
- Yanfa Sun
- Department of Animal Science and Veterinary Medicine, College of Life Science, Longyan University, Longyan, Fujian, 364012, P.R. China
- Cancer Epidemiology Division, Population Sciences in the Pacific Program, University of Hawaii Cancer Center, University of Hawaii at Manoa, Honolulu, HI 96813, USA
- Fujian Provincial Key Laboratory for the Prevention and Control of Animal Infectious Diseases and Biotechnology, Longyan, Fujian 364012, P.R. China
- Fujian Province Universities Key Laboratory of Preventive Veterinary Medicine and Biotechnology (Longyan University), Longyan, Fujian, 364012, P.R. China
| | - Dan Zhou
- Vanderbilt Genetics Institute and Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - Md Rezanur Rahman
- Queensland Brain Institute, The University of Queensland, Brisbane, Qld 4072, Australia
| | - Jingjing Zhu
- Cancer Epidemiology Division, Population Sciences in the Pacific Program, University of Hawaii Cancer Center, University of Hawaii at Manoa, Honolulu, HI 96813, USA
| | - Dalia Ghoneim
- Cancer Epidemiology Division, Population Sciences in the Pacific Program, University of Hawaii Cancer Center, University of Hawaii at Manoa, Honolulu, HI 96813, USA
| | - Nancy J Cox
- Vanderbilt Genetics Institute and Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - Thomas G Beach
- Banner Sun Health Research Institute, Sun City, AZ 85351, USA
| | - Chong Wu
- Department of Statistics, Florida State University, Tallahassee, FL 32306, USA
| | - Eric R Gamazon
- Vanderbilt Genetics Institute and Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37232, USA
- Clare Hall, University of Cambridge, Cambridge CB3 9AL, UK
- MRC Epidemiology Unit, School of Clinical Medicine, University of Cambridge, Cambridge CB2 0SL, UK
| | - Lang Wu
- Cancer Epidemiology Division, Population Sciences in the Pacific Program, University of Hawaii Cancer Center, University of Hawaii at Manoa, Honolulu, HI 96813, USA
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Sun Y, Wang M, Zhao Y, Hu K, Liu Y, Liu B. A Pathway-Specific Polygenic Risk Score is Associated with Tau Pathology and Cognitive Decline. J Alzheimers Dis 2021; 85:1745-1754. [DOI: 10.3233/jad-215163] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Background: Tauopathy is a primary neuropathological hallmark of Alzheimer’s disease with a strong relationship to cognitive impairment. In the brain, tau aggregation is associated with the regulation of tau kinases and the binding ability of tau to microtubules. Objective: To explore the potential for using specific polygenic risk scores (PRSs), combining the genetic influences involved in tau-protein kinases and the tau-protein binding pathway, as predictors of tau pathology and cognitive decline in non-demented individuals. Methods: We computed a pathway-specific PRS using summary statistics from previous large-scale genome-wide association studies of dementia. We examined whether PRS is related to tau uptake in positron emission tomography (PET), tau levels, and the rate of tau level changes in cerebrospinal fluid (CSF). We further assessed whether PRS is associated with memory impairment mediated by CSF tau levels. Results: A higher PRS was related to elevated CSF tau levels and tau-PET uptake at baseline, as well as greater rates of change in CSF tau levels. Moreover, PRS was associated with memory impairment, mediated by increased CSF tau levels. The association between PRS and tau pathology was significant when APOE was excluded, even among females. However, the effect of PRS on cognitive decline appeared to be driven by the inclusion of APOE. Conclusion: The influence of genetic risk in a specific tau-related biological pathway may make an individual more susceptible to tau pathology, resulting in cognitive dysfunction in an early preclinical phase of the disease.
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Affiliation(s)
- Yuqing Sun
- School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China
- Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China
| | - Meng Wang
- School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China
- Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China
| | - Yuxin Zhao
- School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China
- Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China
| | - Ke Hu
- Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China
| | - Yong Liu
- School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China
| | - Bing Liu
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
- Chinese Institute for Brain Research, Beijing, China
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Rabaneda-Bueno R, Mena-Montes B, Torres-Castro S, Torres-Carrillo N, Torres-Carrillo NM. Advances in Genetics and Epigenetic Alterations in Alzheimer's Disease: A Notion for Therapeutic Treatment. Genes (Basel) 2021; 12:1959. [PMID: 34946908 PMCID: PMC8700838 DOI: 10.3390/genes12121959] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2021] [Revised: 12/01/2021] [Accepted: 12/03/2021] [Indexed: 12/18/2022] Open
Abstract
Alzheimer's disease (AD) is a disabling neurodegenerative disorder that leads to long-term functional and cognitive impairment and greatly reduces life expectancy. Early genetic studies focused on tracking variations in genome-wide DNA sequences discovered several polymorphisms and novel susceptibility genes associated with AD. However, despite the numerous risk factors already identified, there is still no fully satisfactory explanation for the mechanisms underlying the onset of the disease. Also, as with other complex human diseases, the causes of low heritability are unclear. Epigenetic mechanisms, in which changes in gene expression do not depend on changes in genotype, have attracted considerable attention in recent years and are key to understanding the processes that influence age-related changes and various neurological diseases. With the recent use of massive sequencing techniques, methods for studying epigenome variations in AD have also evolved tremendously, allowing the discovery of differentially expressed disease traits under different conditions and experimental settings. This is important for understanding disease development and for unlocking new potential AD therapies. In this work, we outline the genomic and epigenomic components involved in the initiation and development of AD and identify potentially effective therapeutic targets for disease control.
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Affiliation(s)
- Rubén Rabaneda-Bueno
- Biology Centre of the Czech Academy of Sciences, Institute of Hydrobiology, 37005 České Budějovice, Czech Republic
- School of Biological Sciences, James Clerk Maxwell Building, The King’s Buildings Campus, University of Edinburgh, Edinburgh EH9 3FD, UK
| | - Beatriz Mena-Montes
- Laboratorio de Biología del Envejecimiento, Departamento de Investigación Básica, Instituto Nacional de Geriatría, Mexico City 10200, Mexico;
| | - Sara Torres-Castro
- Departamento de Epidemiología Demográfica y Determinantes Sociales, Instituto Nacional de Geriatría, Mexico City 10200, Mexico;
| | - Norma Torres-Carrillo
- Departamento de Microbiología y Patología, Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara, Guadalajara 44340, Jalisco, Mexico; (N.T.-C.); (N.M.T.-C.)
| | - Nora Magdalena Torres-Carrillo
- Departamento de Microbiología y Patología, Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara, Guadalajara 44340, Jalisco, Mexico; (N.T.-C.); (N.M.T.-C.)
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Abstract
Fluorescence imaging techniques play a pivotal role in our understanding of the nervous system. The emergence of various super-resolution microscopy methods and specialized fluorescent probes enables direct insight into neuronal structure and protein arrangements in cellular subcompartments with so far unmatched resolution. Super-resolving visualization techniques in neurons unveil a novel understanding of cytoskeletal composition, distribution, motility, and signaling of membrane proteins, subsynaptic structure and function, and neuron-glia interaction. Well-defined molecular targets in autoimmune and neurodegenerative disease models provide excellent starting points for in-depth investigation of disease pathophysiology using novel and innovative imaging methodology. Application of super-resolution microscopy in human brain samples and for testing clinical biomarkers is still in its infancy but opens new opportunities for translational research in neurology and neuroscience. In this review, we describe how super-resolving microscopy has improved our understanding of neuronal and brain function and dysfunction in the last two decades.
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Affiliation(s)
- Christian Werner
- Department of Biotechnology & Biophysics, Biocenter, University of Würzburg, 97074 Würzburg, Germany
| | - Markus Sauer
- Department of Biotechnology & Biophysics, Biocenter, University of Würzburg, 97074 Würzburg, Germany
| | - Christian Geis
- Section Translational Neuroimmunology, Department of Neurology, Jena University Hospital, Am Klinikum 1, 07747 Jena, Germany
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Biel D, Brendel M, Rubinski A, Buerger K, Janowitz D, Dichgans M, Franzmeier N. Tau-PET and in vivo Braak-staging as prognostic markers of future cognitive decline in cognitively normal to demented individuals. ALZHEIMERS RESEARCH & THERAPY 2021; 13:137. [PMID: 34384484 PMCID: PMC8361801 DOI: 10.1186/s13195-021-00880-x] [Citation(s) in RCA: 59] [Impact Index Per Article: 19.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/18/2021] [Accepted: 07/21/2021] [Indexed: 11/20/2022]
Abstract
Background To systematically examine the clinical utility of tau-PET and Braak-staging as prognostic markers of future cognitive decline in older adults with and without cognitive impairment. Methods In this longitudinal study, we included 396 cognitively normal to dementia subjects with 18F-Florbetapir/18F-Florbetaben-amyloid-PET, 18F-Flortaucipir-tau-PET and ~ 2-year cognitive follow-up. Annual change rates in global cognition (i.e., MMSE, ADAS13) and episodic memory were calculated via linear-mixed models. We determined global amyloid-PET (Centiloid) plus global and Braak-stage-specific tau-PET SUVRs, which were stratified as positive(+)/negative(−) at pre-established cut-offs, classifying subjects as Braak0/BraakI+/BraakI–IV+/BraakI–VI+/Braakatypical+. In bootstrapped linear regression, we assessed the predictive accuracy of global tau-PET SUVRs vs. Centiloid on subsequent cognitive decline. To test for independent tau vs. amyloid effects, analyses were further controlled for the contrary PET-tracer. Using ANCOVAs, we tested whether more advanced Braak-stage predicted accelerated future cognitive decline. All models were controlled for age, sex, education, diagnosis, and baseline cognition. Lastly, we determined Braak-stage-specific conversion risk to mild cognitive impairment (MCI) or dementia. Results Baseline global tau-PET SUVRs explained more variance (partial R2) in future cognitive decline than Centiloid across all cognitive tests (Cohen’s d ~ 2, all tests p < 0.001) and diagnostic groups. Associations between tau-PET and cognitive decline remained consistent when controlling for Centiloid, while associations between amyloid-PET and cognitive decline were non-significant when controlling for tau-PET. More advanced Braak-stage was associated with gradually worsening future cognitive decline, independent of Centiloid or diagnostic group (p < 0.001), and elevated conversion risk to MCI/dementia. Conclusion Tau-PET and Braak-staging are highly predictive markers of future cognitive decline and may be promising single-modality estimates for prognostication of patient-specific progression risk in clinical settings. Supplementary Information The online version contains supplementary material available at 10.1186/s13195-021-00880-x.
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Affiliation(s)
- Davina Biel
- Institute, for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, 81377, Munich, Germany
| | - Matthias Brendel
- Department of Nuclear Medicine, University Hospital, LMU Munich, 80336, Munich, Germany
| | - Anna Rubinski
- Institute, for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, 81377, Munich, Germany
| | - Katharina Buerger
- Institute, for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, 81377, Munich, Germany.,German Center for Neurodegenerative Diseases (DZNE, Munich), Munich, Germany
| | - Daniel Janowitz
- Institute, for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, 81377, Munich, Germany
| | - Martin Dichgans
- Institute, for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, 81377, Munich, Germany.,German Center for Neurodegenerative Diseases (DZNE, Munich), Munich, Germany.,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Nicolai Franzmeier
- Institute, for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, 81377, Munich, Germany.
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Kretzschmar GC, Alencar NM, da Silva SSL, Sulzbach CD, Meissner CG, Petzl-Erler ML, Souza RLR, Boldt ABW. GWAS-Top Polymorphisms Associated With Late-Onset Alzheimer Disease in Brazil: Pointing Out Possible New Culprits Among Non-Coding RNAs. Front Mol Biosci 2021; 8:632314. [PMID: 34291080 PMCID: PMC8287568 DOI: 10.3389/fmolb.2021.632314] [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: 11/23/2020] [Accepted: 05/31/2021] [Indexed: 01/06/2023] Open
Abstract
Several genome-wide association studies (GWAS) have been carried out with late-onset Alzheimer's disease (LOAD), mainly in European and Asian populations. Different polymorphisms were associated, but several of them without a functional explanation. GWAS are fundamental for identifying loci associated with diseases, although they often do not point to causal polymorphisms. In this sense, functional investigations are a fundamental tool for discovering causality, although the failure of this validation does not necessarily indicate a non-causality. Furthermore, the allele frequency of associated genetic variants may vary widely between populations, requiring replication of these associations in other ethnicities. In this sense, our study sought to replicate in 150 AD patients and 114 elderly controls from the South Brazilian population 18 single-nucleotide polymorphisms (SNPs) associated with AD in European GWAS, with further functional investigation using bioinformatic tools for the associated SNPs. Of the 18 SNPs investigated, only four were associated in our population: rs769449 (APOE), rs10838725 (CELF1), rs6733839, and rs744373 (BIN1-CYP27C1). We identified 54 variants in linkage disequilibrium (LD) with the associated SNPs, most of which act as expression or splicing quantitative trait loci (eQTLs/sQTLs) in genes previously associated with AD or with a possible functional role in the disease, such as CELF1, MADD, MYBPC3, NR1H3, NUP160, SPI1, and TOMM40. Interestingly, eight of these variants are located within long non-coding RNA (lncRNA) genes that have not been previously investigated regarding AD. Some of these polymorphisms can result in changes in these lncRNAs' secondary structures, leading to either loss or gain of microRNA (miRNA)-binding sites, deregulating downstream pathways. Our pioneering work not only replicated LOAD association with polymorphisms not yet associated in the Brazilian population but also identified six possible lncRNAs that may interfere in LOAD development. The results lead us to emphasize the importance of functional exploration of associations found in large-scale association studies in different populations to base personalized and inclusive medicine in the future.
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Affiliation(s)
- Gabriela Canalli Kretzschmar
- Laboratory of Human Molecular Genetics, Postgraduate Program in Genetics, Department of Genetics, Federal University of Paraná, Curitiba, Brazil
| | - Nina Moura Alencar
- Laboratory of Human Molecular Genetics, Postgraduate Program in Genetics, Department of Genetics, Federal University of Paraná, Curitiba, Brazil
| | - Saritha Suellen Lopes da Silva
- Laboratory of Polymorphism and Linkage, Postgraduate Program in Genetics, Department of Genetics, Federal University of Paraná, Curitiba, Brazil
| | - Carla Daniela Sulzbach
- Laboratory of Polymorphism and Linkage, Postgraduate Program in Genetics, Department of Genetics, Federal University of Paraná, Curitiba, Brazil
| | - Caroline Grisbach Meissner
- Laboratory of Human Molecular Genetics, Postgraduate Program in Genetics, Department of Genetics, Federal University of Paraná, Curitiba, Brazil
| | - Maria Luiza Petzl-Erler
- Laboratory of Human Molecular Genetics, Postgraduate Program in Genetics, Department of Genetics, Federal University of Paraná, Curitiba, Brazil
| | - Ricardo Lehtonen R. Souza
- Laboratory of Polymorphism and Linkage, Postgraduate Program in Genetics, Department of Genetics, Federal University of Paraná, Curitiba, Brazil
| | - Angelica Beate Winter Boldt
- Laboratory of Human Molecular Genetics, Postgraduate Program in Genetics, Department of Genetics, Federal University of Paraná, Curitiba, Brazil
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KL-VS heterozygosity is associated with lower amyloid-dependent tau accumulation and memory impairment in Alzheimer's disease. Nat Commun 2021; 12:3825. [PMID: 34158479 PMCID: PMC8219708 DOI: 10.1038/s41467-021-23755-z] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2020] [Accepted: 05/12/2021] [Indexed: 11/08/2022] Open
Abstract
Klotho-VS heterozygosity (KL-VShet) is associated with reduced risk of Alzheimer’s disease (AD). However, whether KL-VShet is associated with lower levels of pathologic tau, i.e., the key AD pathology driving neurodegeneration and cognitive decline, is unknown. Here, we assessed the interaction between KL-VShet and levels of beta-amyloid, a key driver of tau pathology, on the levels of PET-assessed neurofibrillary tau in 551 controls and patients across the AD continuum. KL-VShet showed lower cross-sectional and longitudinal increase in tau-PET per unit increase in amyloid-PET when compared to that of non-carriers. This association of KL-VShet on tau-PET was stronger in Klotho mRNA-expressing brain regions mapped onto a gene expression atlas. KL-VShet was related to better memory functions in amyloid-positive participants and this association was mediated by lower tau-PET. Amyloid-PET levels did not differ between KL-VShet carriers versus non-carriers. Together, our findings provide evidence to suggest a protective role of KL-VShet against amyloid-related tau pathology and tau-related memory impairments in elderly humans at risk of AD dementia. The KL-VS haplotype of the Klotho gene has been associated with reduced risk of Alzheimer’s disease and dementia. Here the authors show an association between the KL-VS haplotype and amyloid-dependent tau accumulation using PET data.
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Franzmeier N, Ossenkoppele R, Brendel M, Rubinski A, Smith R, Kumar A, Mattsson-Carlgren N, Strandberg O, Duering M, Buerger K, Dichgans M, Hansson O, Ewers M. The BIN1 rs744373 Alzheimer's disease risk SNP is associated with faster Aβ-associated tau accumulation and cognitive decline. Alzheimers Dement 2021; 18:103-115. [PMID: 34060233 DOI: 10.1002/alz.12371] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2020] [Revised: 03/16/2021] [Accepted: 04/16/2021] [Indexed: 12/16/2022]
Abstract
INTRODUCTION The BIN1 rs744373 single nucleotide polymorphism (SNP) is a key genetic risk locus for Alzheimer's disease (AD) associated with tau pathology. Because tau typically accumulates in response to amyloid beta (Aβ), we tested whether BIN1 rs744373 accelerates Aβ-related tau accumulation. METHODS We included two samples (Alzheimer's Disease Neuroimaging Initiative [ADNI], n = 153; Biomarkers for Identifying Neurodegenerative Disorders Early and Reliably [BioFINDER], n = 63) with longitudinal 18 F-Flortaucipir positron emission tomography (PET), Aβ biomarkers, and longitudinal cognitive assessments. We assessed whether BIN1 rs744373 was associated with faster tau-PET accumulation at a given level of Aβ and whether faster BIN1 rs744373-associated tau-PET accumulation mediated cognitive decline. RESULTS BIN1 rs744373 risk-allele carriers showed faster global tau-PET accumulation (ADNI/BioFINDER, P < .001/P < .001). We found significant Aβ by rs744373 interactions on global tau-PET change (ADNI: β/standard error [SE] = 0.42/0.14, P = 0.002; BioFINDER: β/SE = -0.35/0.15, P = .021), BIN1 risk-allele carriers showed accelerated tau-PET accumulation at higher Aβ levels. In ADNI, rs744373 effects on cognitive decline were mediated by faster global tau-PET accumulation (β/SE = 0.20/0.07, P = .005). DISCUSSION BIN1-associated AD risk is potentially driven by accelerated tau accumulation in the face of Aβ.
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Affiliation(s)
- Nicolai Franzmeier
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität LMU, Munich, Germany
| | - Rik Ossenkoppele
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden.,Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
| | - Matthias Brendel
- Department of Nuclear Medicine, University Hospital, LMU Munich, Munich, Germany.,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Anna Rubinski
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität LMU, Munich, Germany
| | - Ruben Smith
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden.,Department of Neurology, Skåne University Hospital, Lund, Sweden
| | - Atul Kumar
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden
| | - Niklas Mattsson-Carlgren
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden.,Department of Neurology, Skåne University Hospital, Lund, Sweden
| | - Olof Strandberg
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden
| | - Marco Duering
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität LMU, Munich, Germany.,Medical Image Analysis Center (MIAC AG), Basel, Switzerland.,Department of Biomedical Engineering, University of Basel, Basel, Switzerland
| | - Katharina Buerger
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität LMU, Munich, Germany.,German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
| | - Martin Dichgans
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität LMU, Munich, Germany.,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany.,German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
| | - Oskar Hansson
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden.,Memory Clinic, Skåne University Hospital, Lund, Sweden
| | - Michael Ewers
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität LMU, Munich, Germany.,German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
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Ciampa I, Operto G, Falcon C, Minguillon C, Castro de Moura M, Piñeyro D, Esteller M, Molinuevo JL, Guigó R, Navarro A, Gispert JD, Vilor-Tejedor N. Genetic Predisposition to Alzheimer's Disease Is Associated with Enlargement of Perivascular Spaces in Centrum Semiovale Region. Genes (Basel) 2021; 12:genes12060825. [PMID: 34072165 PMCID: PMC8226614 DOI: 10.3390/genes12060825] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2021] [Revised: 05/17/2021] [Accepted: 05/19/2021] [Indexed: 12/12/2022] Open
Abstract
This study investigated whether genetic factors involved in Alzheimer’s disease (AD) are associated with enlargement of Perivascular Spaces (ePVS) in the brain. A total of 680 participants with T2-weighted MRI scans and genetic information were acquired from the ALFA study. ePVS in the basal ganglia (BG) and the centrum semiovale (CS) were assessed based on a validated visual rating scale. We used univariate and multivariate logistic regression models to investigate associations between ePVS in BG and CS with BIN1-rs744373, as well as APOE genotypes. We found a significant association of the BIN1-rs744373 polymorphism in the CS subscale (p value = 0.019; OR = 2.564), suggesting that G allele carriers have an increased risk of ePVS in comparison with A allele carriers. In stratified analysis by APOE-ε4 status (carriers vs. non-carriers), these results remained significant only for ε4 carriers (p value = 0.011; OR = 1.429). To our knowledge, the present study is the first suggesting that genetic predisposition for AD is associated with ePVS in CS. These findings provide evidence that underlying biological processes affecting AD may influence CS-ePVS.
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Affiliation(s)
- Iacopo Ciampa
- Department of Radiology, Hospital Universitari Sagrat Cor, 08029 Barcelona, Spain;
| | - Grégory Operto
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, 08005 Barcelona, Spain; (G.O.); (C.F.); (C.M.); (J.L.M.); (A.N.)
- IMIM (Hospital del Mar Medical Research Institute), 08003 Barcelona, Spain
- Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES), 28029 Madrid, Spain
| | - Carles Falcon
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, 08005 Barcelona, Spain; (G.O.); (C.F.); (C.M.); (J.L.M.); (A.N.)
- IMIM (Hospital del Mar Medical Research Institute), 08003 Barcelona, Spain
- Centro de Investigación Biomédica en Red Bioingeniería, Biomateriales y Nanomedicina, 28029 Madrid, Spain
| | - Carolina Minguillon
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, 08005 Barcelona, Spain; (G.O.); (C.F.); (C.M.); (J.L.M.); (A.N.)
- IMIM (Hospital del Mar Medical Research Institute), 08003 Barcelona, Spain
- Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES), 28029 Madrid, Spain
| | - Manuel Castro de Moura
- Josep Carreras Leukaemia Research Institute (IJC), 08916 Badalona, Barcelona, Spain; (M.C.d.M.); (D.P.); (M.E.)
| | - David Piñeyro
- Josep Carreras Leukaemia Research Institute (IJC), 08916 Badalona, Barcelona, Spain; (M.C.d.M.); (D.P.); (M.E.)
- Centro de Investigación Biomedica en Red Cancer (CIBERONC), 28019 Madrid, Spain
| | - Manel Esteller
- Josep Carreras Leukaemia Research Institute (IJC), 08916 Badalona, Barcelona, Spain; (M.C.d.M.); (D.P.); (M.E.)
- Centro de Investigación Biomedica en Red Cancer (CIBERONC), 28019 Madrid, Spain
- Institució Catalana de Recerca i Estudis Avançats (ICREA), 08010 Barcelona, Spain
- Physiological Sciences Department, School of Medicine and Health Sciences, University of Barcelona (UB), 08097 Barcelona, Spain
| | - Jose Luis Molinuevo
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, 08005 Barcelona, Spain; (G.O.); (C.F.); (C.M.); (J.L.M.); (A.N.)
- IMIM (Hospital del Mar Medical Research Institute), 08003 Barcelona, Spain
- Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES), 28029 Madrid, Spain
- Universitat Pompeu Fabra, 08005 Barcelona, Spain;
| | - Roderic Guigó
- Universitat Pompeu Fabra, 08005 Barcelona, Spain;
- Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), 08003 Barcelona, Spain
| | - Arcadi Navarro
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, 08005 Barcelona, Spain; (G.O.); (C.F.); (C.M.); (J.L.M.); (A.N.)
- Institució Catalana de Recerca i Estudis Avançats (ICREA), 08010 Barcelona, Spain
- Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), 08003 Barcelona, Spain
- Department of Experimental and Health Sciences, Institute of Evolutionary Biology (CSIC-UPF), Universitat Pompeu Fabra, 08003 Barcelona, Spain
| | - Juan Domingo Gispert
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, 08005 Barcelona, Spain; (G.O.); (C.F.); (C.M.); (J.L.M.); (A.N.)
- IMIM (Hospital del Mar Medical Research Institute), 08003 Barcelona, Spain
- Centro de Investigación Biomédica en Red Bioingeniería, Biomateriales y Nanomedicina, 28029 Madrid, Spain
- Correspondence: (J.D.G.); (N.V.-T.)
| | - Natalia Vilor-Tejedor
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, 08005 Barcelona, Spain; (G.O.); (C.F.); (C.M.); (J.L.M.); (A.N.)
- Universitat Pompeu Fabra, 08005 Barcelona, Spain;
- Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), 08003 Barcelona, Spain
- Department of Clinical Genetics, Erasmus University Medical Center Rotterdam, 3015 GD Rotterdam, The Netherlands
- Correspondence: (J.D.G.); (N.V.-T.)
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Tau internalization: A complex step in tau propagation. Ageing Res Rev 2021; 67:101272. [PMID: 33571704 DOI: 10.1016/j.arr.2021.101272] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2020] [Revised: 12/04/2020] [Accepted: 02/04/2021] [Indexed: 12/16/2022]
Abstract
Aggregation of microtubule-associated protein Tau (MAPT) may underlie abnormalities of the intracellular matrix and neuronal death in tauopathies. Tau proteins can be secreted to the extracellular space and internalized into adjacent cells. The internalization of Tau is a complex but critical step in Tau propagation. This review summarizes the internalization pathways of Tau, including macropinocytosis, Clathrin-mediated endocytosis (CME), lipid raft dependent endocytosis, Tunneling nanotubes dependent endocytosis (TNTs) and phagocytosis. The conformation of Tau fibrils and the types of recipient cell determine the internalization pathway. However, the HSPGs-dependent endocytosis seems to be the predominant pathway of Tau internalization. After internalization, Tau fibrils undergo clearance and seeding. Imbalance among Tau secretion, internalization and clearance may result in the propagation of misfolded Tau in the brain, thereby inducing Tauopathies. A better understanding of the internalization of Tau proteins may facilitate the discovery of novel therapeutic strategies to block the propagation of Tau pathology.
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Terada T, Therriault J, Kang MSP, Savard M, Pascoal TA, Lussier F, Tissot C, Wang YT, Benedet A, Matsudaira T, Bunai T, Obi T, Tsukada H, Ouchi Y, Rosa-Neto P. Mitochondrial complex I abnormalities is associated with tau and clinical symptoms in mild Alzheimer's disease. Mol Neurodegener 2021; 16:28. [PMID: 33902654 PMCID: PMC8074456 DOI: 10.1186/s13024-021-00448-1] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2020] [Accepted: 03/29/2021] [Indexed: 01/01/2023] Open
Abstract
Background Mitochondrial electron transport chain abnormalities have been reported in postmortem pathological specimens of Alzheimer’s disease (AD). However, it remains unclear how amyloid and tau are associated with mitochondrial dysfunction in vivo. The purpose of this study is to assess the local relationships between mitochondrial dysfunction and AD pathophysiology in mild AD using the novel mitochondrial complex I PET imaging agent [18F]BCPP-EF. Methods Thirty-two amyloid and tau positive mild stage AD dementia patients (mean age ± SD: 71.1 ± 8.3 years) underwent a series of PET measurements with [18F]BCPP-EF mitochondrial function, [11C]PBB3 for tau deposition, and [11C] PiB for amyloid deposition. Age-matched normal control subjects were also recruited. Inter and intrasubject comparisons of levels of mitochondrial complex I activity, amyloid and tau deposition were performed. Results The [18F]BCPP-EF uptake was significantly lower in the medial temporal area, highlighting the importance of the mitochondrial involvement in AD pathology. [11C]PBB3 uptake was greater in the temporo-parietal regions in AD. Region of interest analysis in the Braak stage I-II region showed significant negative correlation between [18F]BCPP-EF SUVR and [11C]PBB3 BPND (R = 0.2679, p = 0.04), but not [11C] PiB SUVR. Conclusions Our results indicated that mitochondrial complex I is closely associated with tau load evaluated by [11C]PBB3, which might suffer in the presence of its off-target binding. The absence of association between mitochondrial complex I dysfunction with amyloid load suggests that mitochondrial dysfunction in the trans-entorhinal and entorhinal region is a reflection of neuronal injury occurring in the brain of mild AD. Supplementary Information The online version contains supplementary material available at 10.1186/s13024-021-00448-1.
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Affiliation(s)
- Tatsuhiro Terada
- Translational Neuroimaging Laboratory, McGill University Research Centre for Studies in Aging, Douglas Research Institute, Le Centre intégré universitaire de santé et de services sociaux (CIUSSS) de l'Ouest-de-l'Île-de-Montréal; Department of Neurology and Neurosurgery, Psychiatry and Pharmacology and Therapeutics, McGill University, 6875 Boulevard LaSalle, Montreal, H4H 1R3, Canada.,Department of Biofunctional Imaging, Preeminent Medical Photonics Education & Research Center, Hamamatsu University School of Medicine, 1-20-1 Handayama, Higashi-ku, Hamamatsu, 431-3192, Japan.,Department of Neurology, Shizuoka Institute of Epilepsy and Neurological Disorders, 886 Urushiyama, Aoi-ku, Shizuoka, 420-8688, Japan
| | - Joseph Therriault
- Translational Neuroimaging Laboratory, McGill University Research Centre for Studies in Aging, Douglas Research Institute, Le Centre intégré universitaire de santé et de services sociaux (CIUSSS) de l'Ouest-de-l'Île-de-Montréal; Department of Neurology and Neurosurgery, Psychiatry and Pharmacology and Therapeutics, McGill University, 6875 Boulevard LaSalle, Montreal, H4H 1R3, Canada
| | - Min Su Peter Kang
- Translational Neuroimaging Laboratory, McGill University Research Centre for Studies in Aging, Douglas Research Institute, Le Centre intégré universitaire de santé et de services sociaux (CIUSSS) de l'Ouest-de-l'Île-de-Montréal; Department of Neurology and Neurosurgery, Psychiatry and Pharmacology and Therapeutics, McGill University, 6875 Boulevard LaSalle, Montreal, H4H 1R3, Canada
| | - Melissa Savard
- Translational Neuroimaging Laboratory, McGill University Research Centre for Studies in Aging, Douglas Research Institute, Le Centre intégré universitaire de santé et de services sociaux (CIUSSS) de l'Ouest-de-l'Île-de-Montréal; Department of Neurology and Neurosurgery, Psychiatry and Pharmacology and Therapeutics, McGill University, 6875 Boulevard LaSalle, Montreal, H4H 1R3, Canada
| | - Tharick Ali Pascoal
- Translational Neuroimaging Laboratory, McGill University Research Centre for Studies in Aging, Douglas Research Institute, Le Centre intégré universitaire de santé et de services sociaux (CIUSSS) de l'Ouest-de-l'Île-de-Montréal; Department of Neurology and Neurosurgery, Psychiatry and Pharmacology and Therapeutics, McGill University, 6875 Boulevard LaSalle, Montreal, H4H 1R3, Canada
| | - Firoza Lussier
- Translational Neuroimaging Laboratory, McGill University Research Centre for Studies in Aging, Douglas Research Institute, Le Centre intégré universitaire de santé et de services sociaux (CIUSSS) de l'Ouest-de-l'Île-de-Montréal; Department of Neurology and Neurosurgery, Psychiatry and Pharmacology and Therapeutics, McGill University, 6875 Boulevard LaSalle, Montreal, H4H 1R3, Canada
| | - Cecile Tissot
- Translational Neuroimaging Laboratory, McGill University Research Centre for Studies in Aging, Douglas Research Institute, Le Centre intégré universitaire de santé et de services sociaux (CIUSSS) de l'Ouest-de-l'Île-de-Montréal; Department of Neurology and Neurosurgery, Psychiatry and Pharmacology and Therapeutics, McGill University, 6875 Boulevard LaSalle, Montreal, H4H 1R3, Canada
| | - Yi-Ting Wang
- Translational Neuroimaging Laboratory, McGill University Research Centre for Studies in Aging, Douglas Research Institute, Le Centre intégré universitaire de santé et de services sociaux (CIUSSS) de l'Ouest-de-l'Île-de-Montréal; Department of Neurology and Neurosurgery, Psychiatry and Pharmacology and Therapeutics, McGill University, 6875 Boulevard LaSalle, Montreal, H4H 1R3, Canada
| | - Andrea Benedet
- Translational Neuroimaging Laboratory, McGill University Research Centre for Studies in Aging, Douglas Research Institute, Le Centre intégré universitaire de santé et de services sociaux (CIUSSS) de l'Ouest-de-l'Île-de-Montréal; Department of Neurology and Neurosurgery, Psychiatry and Pharmacology and Therapeutics, McGill University, 6875 Boulevard LaSalle, Montreal, H4H 1R3, Canada
| | - Takashi Matsudaira
- Department of Biofunctional Imaging, Preeminent Medical Photonics Education & Research Center, Hamamatsu University School of Medicine, 1-20-1 Handayama, Higashi-ku, Hamamatsu, 431-3192, Japan.,Department of Neurology, Shizuoka Institute of Epilepsy and Neurological Disorders, 886 Urushiyama, Aoi-ku, Shizuoka, 420-8688, Japan
| | - Tomoyasu Bunai
- Department of Biofunctional Imaging, Preeminent Medical Photonics Education & Research Center, Hamamatsu University School of Medicine, 1-20-1 Handayama, Higashi-ku, Hamamatsu, 431-3192, Japan
| | - Tomokazu Obi
- Department of Neurology, Shizuoka Institute of Epilepsy and Neurological Disorders, 886 Urushiyama, Aoi-ku, Shizuoka, 420-8688, Japan
| | - Hideo Tsukada
- Central Research Laboratory, Hamamatsu Photonics KK, 5000 Hirakuchi, Hamakita-ku, Hamamatsu, 434-0041, Japan
| | - Yasuomi Ouchi
- Department of Biofunctional Imaging, Preeminent Medical Photonics Education & Research Center, Hamamatsu University School of Medicine, 1-20-1 Handayama, Higashi-ku, Hamamatsu, 431-3192, Japan. .,Hamamatsu PET Imaging Center, Hamamatsu Medical Photonics Foundation, 5000 Hirakuchi, Hamakita-ku, Hamamatsu, 434-0041, Japan.
| | - Pedro Rosa-Neto
- Translational Neuroimaging Laboratory, McGill University Research Centre for Studies in Aging, Douglas Research Institute, Le Centre intégré universitaire de santé et de services sociaux (CIUSSS) de l'Ouest-de-l'Île-de-Montréal; Department of Neurology and Neurosurgery, Psychiatry and Pharmacology and Therapeutics, McGill University, 6875 Boulevard LaSalle, Montreal, H4H 1R3, Canada.
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44
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De Rossi P, Nomura T, Andrew RJ, Masse NY, Sampathkumar V, Musial TF, Sudwarts A, Recupero AJ, Le Metayer T, Hansen MT, Shim HN, Krause SV, Freedman DJ, Bindokas VP, Kasthuri N, Nicholson DA, Contractor A, Thinakaran G. Neuronal BIN1 Regulates Presynaptic Neurotransmitter Release and Memory Consolidation. Cell Rep 2021; 30:3520-3535.e7. [PMID: 32160554 PMCID: PMC7146643 DOI: 10.1016/j.celrep.2020.02.026] [Citation(s) in RCA: 53] [Impact Index Per Article: 17.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2019] [Revised: 12/08/2019] [Accepted: 02/04/2020] [Indexed: 12/13/2022] Open
Abstract
BIN1, a member of the BAR adaptor protein family, is a significant late-onset Alzheimer disease risk factor. Here, we investigate BIN1 function in the brain using conditional knockout (cKO) models. Loss of neuronal Bin1 expression results in the select impairment of spatial learning and memory. Examination of hippocampal CA1 excitatory synapses reveals a deficit in presynaptic release probability and slower depletion of neurotransmitters during repetitive stimulation, suggesting altered vesicle dynamics in Bin1 cKO mice. Super-resolution and immunoelectron microscopy localizes BIN1 to presynaptic sites in excitatory synapses. Bin1 cKO significantly reduces synapse density and alters presynaptic active zone protein cluster formation. Finally, 3D electron microscopy reconstruction analysis uncovers a significant increase in docked and reserve pools of synaptic vesicles at hippocampal synapses in Bin1 cKO mice. Our results demonstrate a non-redundant role for BIN1 in presynaptic regulation, thus providing significant insights into the fundamental function of BIN1 in synaptic physiology relevant to Alzheimer disease. BIN1 is a significant risk factor for late-onset Alzheimer disease. BIN1 has a general role in endocytosis and membrane dynamics in non-neuronal cells. De Rossi et al. show that BIN1 localizes to presynaptic terminals and plays an indispensable role in excitatory synaptic transmission by regulating neurotransmitter vesicle dynamics.
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Affiliation(s)
- Pierre De Rossi
- Department of Neurobiology, The University of Chicago, Chicago, IL 60637, USA
| | - Toshihiro Nomura
- Department of Physiology, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
| | - Robert J Andrew
- Department of Neurobiology, The University of Chicago, Chicago, IL 60637, USA
| | - Nicolas Y Masse
- Department of Neurobiology, The University of Chicago, Chicago, IL 60637, USA
| | | | - Timothy F Musial
- Department of Neurological sciences, Rush University, Chicago, IL 60612, USA
| | - Ari Sudwarts
- Department of Neurobiology, The University of Chicago, Chicago, IL 60637, USA; Department of Molecular Medicine and Byrd Alzheimer's Institute, University of South Florida, Tampa, FL 33613, USA
| | | | - Thomas Le Metayer
- Department of Neurobiology, The University of Chicago, Chicago, IL 60637, USA
| | - Mitchell T Hansen
- Department of Neurobiology, The University of Chicago, Chicago, IL 60637, USA; Department of Molecular Medicine and Byrd Alzheimer's Institute, University of South Florida, Tampa, FL 33613, USA
| | - Ha-Na Shim
- Department of Neurobiology, The University of Chicago, Chicago, IL 60637, USA
| | - Sofia V Krause
- Department of Neurobiology, The University of Chicago, Chicago, IL 60637, USA
| | - David J Freedman
- Department of Neurobiology, The University of Chicago, Chicago, IL 60637, USA
| | - Vytas P Bindokas
- Integrated Light Microscopy Facility, The University of Chicago, Chicago, IL 60637, USA
| | - Narayanan Kasthuri
- Department of Neurobiology, The University of Chicago, Chicago, IL 60637, USA
| | - Daniel A Nicholson
- Department of Neurological sciences, Rush University, Chicago, IL 60612, USA
| | - Anis Contractor
- Department of Physiology, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA; Department of Neurobiology, Weinberg College of Arts and Sciences, Northwestern University, Chicago, IL, USA
| | - Gopal Thinakaran
- Department of Neurobiology, The University of Chicago, Chicago, IL 60637, USA; Department of Neurology, The University of Chicago, Chicago, IL 60637, USA; Department of Pathology, The University of Chicago, Chicago, IL 60637, USA; Department of Molecular Medicine and Byrd Alzheimer's Institute, University of South Florida, Tampa, FL 33613, USA.
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45
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Tamil Selvan S, Ravichandar R, Kanta Ghosh K, Mohan A, Mahalakshmi P, Gulyás B, Padmanabhan P. Coordination chemistry of ligands: Insights into the design of amyloid beta/tau-PET imaging probes and nanoparticles-based therapies for Alzheimer’s disease. Coord Chem Rev 2021. [DOI: 10.1016/j.ccr.2020.213659] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
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46
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Abstract
Apolipoprotein E (APOE) e4 genotype, which increases the risk of Alzheimer’s disease (AD), predicted severe COVID-19 infection in one UK Biobank (UKB) cohort. Single nucleotide polymorphisms (SNPs) in the bridging integrator 1 (BIN1) gene indicate the second highest odds-ratios for sporadic AD, exceeded only by APOE variants. The objective of the present study was to evaluate the effects of BIN1 and the SNP rs744373 on COVID-19-relaetd survival using UKB-derived data. In addition, the interaction and alignment of BIN1 and SARS-Cov-2 were evaluated. For this purpose, the major (non-Alzheimer’s) BIN1 allele was designated as BIN and the SNP rs744373 minor (Alzheimer’s) allele as RS7. To evaluate the interaction and alignment of BIN1 and SARS-Cov-2, Protein Data Bank (pdb) entries were searched on the RCSB Protein Data Bank. The results revealed that the BIN RS7 heterozygote was associated with the lowest mortality rate (11.7%), followed by the BIN BIN homozygote (17.2%). The RS7 RS7 homozygote was associated with the highest mortality rate (28.1%). Logistic regression analysis was also performed using survival or mortality as the dependent variable, and sex, age, genotype, AD and coronary heart disease (CHD) as independent variables. The effects of sex, age and genotype were significant at the 95% level. The male sex and older-aged subjects were more likely to succumb to test-confirmed COVID-19 than females and younger subjects. The effects of AD and CHD were insignificant. Protein molecule alignment analyses suggested that the BIN allele may interfere with the replication of the SARs-Cov2 virus. The findings of the present study demonstrate that the risks for COVID-19 mortality are not simply related to an advanced chronological age or the comorbidities commonly observed in aged subjects, such as CHD and AD, but also with AD genes.
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Affiliation(s)
- Steven Lehrer
- Department of Radiation Oncology, Icahn School of Medicine at Mount Sinai, New York, NY 10029
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47
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Zhu J, Liu X, Yin H, Gao Y, Yu H. Convergent lines of evidence support BIN1 as a risk gene of Alzheimer's disease. Hum Genomics 2021; 15:9. [PMID: 33516273 PMCID: PMC7847034 DOI: 10.1186/s40246-021-00307-6] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2020] [Accepted: 01/18/2021] [Indexed: 11/10/2022] Open
Abstract
Genome-wide association studies (GWAS) have identified several susceptibility loci of Alzheimer's disease (AD), which were mainly located in noncoding regions of the genome. Meanwhile, the putative biological mechanisms underlying AD susceptibility loci were still unclear. At present, identifying the functional variants of AD pathogenesis remains a major challenge. Herein, we first used summary data-based Mendelian randomization (SMR) with AD GWAS summary and expression quantitative trait loci (eQTL) data to identify variants who affects expression levels of nearby genes and contributed to the risk of AD. Using the SMR integrative analysis, we totally identified 14 SNPs significantly affected the expression level of 16 nearby genes in blood or brain tissues and contributed to the AD risk. Then, to confirm the results, we replicated the GWAS and eQTL results across multiple samples. Totally, four risk SNP (rs11682128, rs601945, rs3935067, and rs679515) were validated to be associated with AD and affected the expression level of nearby genes (BIN1, HLA-DRA, EPHA1-AS1, and CR1). Besides, our differential expression analysis showed that the BIN1 gene was significantly downregulated in the hippocampus (P = 2.0 × 10-3) and survived after multiple comparisons. These convergent lines of evidence suggest that the BIN1 gene identified by SMR has potential roles in the pathogenesis of AD. Further investigation of the roles of the BIN1 gene in the pathogenesis of AD is warranted.
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Affiliation(s)
- Jin Zhu
- Department of Psychiatry, Jining Medical University, 133 He Hua Road, Jining, 272067 Shandong China
| | - Xia Liu
- Department of Psychiatry, Jining Psychiatric Hospital, Jining, 272051 Shandong China
| | - Hongtao Yin
- Department of Neurology, Zibo Central Hospital, 54 Gongqingtuan Xi Road, Zibo, 255036 China
| | - Yan Gao
- Department of Psychiatry, Jining Medical University, 133 He Hua Road, Jining, 272067 Shandong China
| | - Hao Yu
- Department of Psychiatry, Jining Medical University, 133 He Hua Road, Jining, 272067 Shandong China
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48
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Latimer CS, Lucot KL, Keene CD, Cholerton B, Montine TJ. Genetic Insights into Alzheimer's Disease. ANNUAL REVIEW OF PATHOLOGY 2021; 16:351-376. [PMID: 33497263 PMCID: PMC8664069 DOI: 10.1146/annurev-pathmechdis-012419-032551] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Alzheimer's disease (AD) is a pervasive, relentlessly progressive neurodegenerative disorder that includes both hereditary and sporadic forms linked by common underlying neuropathologic changes and neuropsychological manifestations. While a clinical diagnosis is often made on the basis of initial memory dysfunction that progresses to involve multiple cognitive domains, definitive diagnosis requires autopsy examination of the brain to identify amyloid plaques and neurofibrillary degeneration. Over the past 100 years, there has been remarkable progress in our understanding of the underlying pathophysiologic processes, pathologic changes, and clinical phenotypes of AD, largely because genetic pathways that include but expand beyond amyloid processing have been uncovered. This review discusses the current state of understanding of the genetics of AD with a focus on how these advances are both shaping our understanding of the disease and informing novel avenues and approaches for development of potential therapeutic targets.
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Affiliation(s)
- Caitlin S Latimer
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, Washington 98104, USA
| | - Katherine L Lucot
- Department of Pathology, Stanford University, Stanford, California 94304, USA;
| | - C Dirk Keene
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, Washington 98104, USA
| | - Brenna Cholerton
- Department of Pathology, Stanford University, Stanford, California 94304, USA;
| | - Thomas J Montine
- Department of Pathology, Stanford University, Stanford, California 94304, USA;
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49
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Li Puma DD, Piacentini R, Grassi C. Does Impairment of Adult Neurogenesis Contribute to Pathophysiology of Alzheimer's Disease? A Still Open Question. Front Mol Neurosci 2021; 13:578211. [PMID: 33551741 PMCID: PMC7862134 DOI: 10.3389/fnmol.2020.578211] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2020] [Accepted: 12/15/2020] [Indexed: 12/15/2022] Open
Abstract
Adult hippocampal neurogenesis is a physiological mechanism contributing to hippocampal memory formation. Several studies associated altered hippocampal neurogenesis with aging and Alzheimer's disease (AD). However, whether amyloid-β protein (Aβ)/tau accumulation impairs adult hippocampal neurogenesis and, consequently, the hippocampal circuitry, involved in memory formation, or altered neurogenesis is an epiphenomenon of AD neuropathology contributing negligibly to the AD phenotype, is, especially in humans, still debated. The detrimental effects of Aβ/tau on synaptic function and neuronal viability have been clearly addressed both in in vitro and in vivo experimental models. Until some years ago, studies carried out on in vitro models investigating the action of Aβ/tau on proliferation and differentiation of hippocampal neural stem cells led to contrasting results, mainly due to discrepancies arising from different experimental conditions (e.g., different cellular/animal models, different Aβ and/or tau isoforms, concentrations, and/or aggregation profiles). To date, studies investigating in situ adult hippocampal neurogenesis indicate severe impairment in most of transgenic AD mice; this impairment precedes by several months cognitive dysfunction. Using experimental tools, which only became available in the last few years, research in humans indicated that hippocampal neurogenesis is altered in cognitive declined individuals affected by either mild cognitive impairment or AD as well as in normal cognitive elderly with a significant inverse relationship between the number of newly formed neurons and cognitive impairment. However, despite that such information is available, the question whether impaired neurogenesis contributes to AD pathogenesis or is a mere consequence of Aβ/pTau accumulation is not definitively answered. Herein, we attempted to shed light on this complex and very intriguing topic by reviewing relevant literature on impairment of adult neurogenesis in mouse models of AD and in AD patients analyzing the temporal relationship between the occurrence of altered neurogenesis and the appearance of AD hallmarks and cognitive dysfunctions.
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Affiliation(s)
- Domenica Donatella Li Puma
- Department of Neuroscience, Università Cattolica del Sacro Cuore, Rome, Italy.,Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Roberto Piacentini
- Department of Neuroscience, Università Cattolica del Sacro Cuore, Rome, Italy.,Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Claudio Grassi
- Department of Neuroscience, Università Cattolica del Sacro Cuore, Rome, Italy.,Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
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50
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Tan MS, Yang YX, Xu W, Wang HF, Tan L, Zuo CT, Dong Q, Tan L, Suckling J, Yu JT. Associations of Alzheimer's disease risk variants with gene expression, amyloidosis, tauopathy, and neurodegeneration. Alzheimers Res Ther 2021; 13:15. [PMID: 33419465 PMCID: PMC7792349 DOI: 10.1186/s13195-020-00755-7] [Citation(s) in RCA: 42] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2020] [Accepted: 12/21/2020] [Indexed: 12/13/2022]
Abstract
BACKGROUND Genome-wide association studies have identified more than 30 Alzheimer's disease (AD) risk genes, although the detailed mechanism through which all these genes are associated with AD pathogenesis remains unknown. We comprehensively evaluate the roles of the variants in top 30 non-APOE AD risk genes, based on whether these variants were associated with altered mRNA transcript levels, as well as brain amyloidosis, tauopathy, and neurodegeneration. METHODS Human brain gene expression data were obtained from the UK Brain Expression Consortium (UKBEC), while other data used in our study were obtained from the Alzheimer's Disease Neuroimaging Initiative (ADNI) cohort. We examined the association of AD risk allele carrier status with the levels of gene expression in blood and brain regions and tested the association with brain amyloidosis, tauopathy, and neurodegeneration at baseline, using a multivariable linear regression model. Next, we analyzed the longitudinal effects of these variants on the change rates of pathology using a mixed effect model. RESULTS Altogether, 27 variants were detected to be associated with the altered expression of 21 nearby genes in blood and brain regions. Eleven variants (especially novel variants in ADAM10, IGHV1-68, and SLC24A4/RIN3) were associated with brain amyloidosis, 7 variants (especially in INPP5D, PTK2B) with brain tauopathy, and 8 variants (especially in ECHDC3, HS3ST1) with brain neurodegeneration. Variants in ADAMTS1, BZRAP1-AS1, CELF1, CD2AP, and SLC24A4/RIN3 participated in more than one cerebral pathological process. CONCLUSIONS Genetic variants might play functional roles and suggest potential mechanisms in AD pathogenesis, which opens doors to uncover novel targets for AD treatment.
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Affiliation(s)
- Meng-Shan Tan
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Yu-Xiang Yang
- Department of Neurology and Institute of Neurology, Huashan Hospital, Shanghai Medical College, Fudan University, 12th Wulumuqi Zhong Road, Shanghai, 200040, China
| | - Wei Xu
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Hui-Fu Wang
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Lin Tan
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Chuan-Tao Zuo
- PET Center, Huashan Hospital, Fudan University, Shanghai, China
| | - Qiang Dong
- Department of Neurology and Institute of Neurology, Huashan Hospital, Shanghai Medical College, Fudan University, 12th Wulumuqi Zhong Road, Shanghai, 200040, China
| | - Lan Tan
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - John Suckling
- Department of Psychiatry, University of Cambridge, Cambridge, UK.
| | - Jin-Tai Yu
- Department of Neurology and Institute of Neurology, Huashan Hospital, Shanghai Medical College, Fudan University, 12th Wulumuqi Zhong Road, Shanghai, 200040, China.
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