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Tayran H, Yilmaz E, Bhattarai P, Min Y, Wang X, Ma Y, Wang N, Jeong I, Nelson N, Kassara N, Cosacak MI, Dogru RM, Reyes-Dumeyer D, Stenersen JM, Reddy JS, Qiao M, Flaherty D, Gunasekaran TI, Yang Z, Jurisch-Yaksi N, Teich AF, Kanekiyo T, Tosto G, Vardarajan BN, İş Ö, Ertekin-Taner N, Mayeux R, Kizil C. ABCA7-dependent induction of neuropeptide Y is required for synaptic resilience in Alzheimer's disease through BDNF/NGFR signaling. CELL GENOMICS 2024; 4:100642. [PMID: 39216475 DOI: 10.1016/j.xgen.2024.100642] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/02/2023] [Revised: 05/04/2024] [Accepted: 08/08/2024] [Indexed: 09/04/2024]
Abstract
Genetic variants in ABCA7, an Alzheimer's disease (AD)-associated gene, elevate AD risk, yet its functional relevance to the etiology is unclear. We generated a CRISPR-Cas9-mediated abca7 knockout zebrafish to explore ABCA7's role in AD. Single-cell transcriptomics in heterozygous abca7+/- knockout combined with Aβ42 toxicity revealed that ABCA7 is crucial for neuropeptide Y (NPY), brain-derived neurotrophic factor (BDNF), and nerve growth factor receptor (NGFR) expressions, which are crucial for synaptic integrity, astroglial proliferation, and microglial prevalence. Impaired NPY induction decreased BDNF and synaptic density, which are rescuable with ectopic NPY. In induced pluripotent stem cell-derived human neurons exposed to Aβ42, ABCA7-/- suppresses NPY. Clinical data showed reduced NPY in AD correlated with elevated Braak stages, genetic variants in NPY associated with AD, and epigenetic changes in NPY, NGFR, and BDNF promoters linked to ABCA7 variants. Therefore, ABCA7-dependent NPY signaling via BDNF-NGFR maintains synaptic integrity, implicating its impairment in increased AD risk through reduced brain resilience.
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Affiliation(s)
- Hüseyin Tayran
- The Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, Columbia University, New York, NY 10032, USA; Department of Neurology, Columbia University Irving Medical Center, Columbia University, New York, NY 10032, USA
| | - Elanur Yilmaz
- The Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, Columbia University, New York, NY 10032, USA; Department of Neurology, Columbia University Irving Medical Center, Columbia University, New York, NY 10032, USA
| | - Prabesh Bhattarai
- The Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, Columbia University, New York, NY 10032, USA; Department of Neurology, Columbia University Irving Medical Center, Columbia University, New York, NY 10032, USA
| | - Yuhao Min
- Department of Neuroscience, Mayo Clinic Florida, Jacksonville, FL 32224, USA
| | - Xue Wang
- Department of Quantitative Health Sciences, Mayo Clinic Florida, Jacksonville, FL 32224, USA
| | - Yiyi Ma
- Department of Neurology, Columbia University Irving Medical Center, Columbia University, New York, NY 10032, USA
| | - Ni Wang
- Department of Neuroscience, Mayo Clinic Florida, Jacksonville, FL 32224, USA
| | - Inyoung Jeong
- Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway
| | - Nastasia Nelson
- The Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, Columbia University, New York, NY 10032, USA; Department of Neurology, Columbia University Irving Medical Center, Columbia University, New York, NY 10032, USA
| | - Nada Kassara
- The Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, Columbia University, New York, NY 10032, USA
| | - Mehmet Ilyas Cosacak
- German Center for Neurodegenerative Diseases (DZNE), Tatzberg 41, 01307 Dresden, Germany
| | - Ruya Merve Dogru
- The Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, Columbia University, New York, NY 10032, USA
| | - Dolly Reyes-Dumeyer
- The Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, Columbia University, New York, NY 10032, USA; Department of Neurology, Columbia University Irving Medical Center, Columbia University, New York, NY 10032, USA; The Gertrude H. Sergievsky Center, College of Physicians and Surgeons, Columbia University Irving Medical Center, Columbia University, 630 West 168th Street, New York, NY 10032, USA
| | - Jakob Mørkved Stenersen
- Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway
| | - Joseph S Reddy
- Department of Neuroscience, Mayo Clinic Florida, Jacksonville, FL 32224, USA
| | - Min Qiao
- The Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, Columbia University, New York, NY 10032, USA; Department of Neurology, Columbia University Irving Medical Center, Columbia University, New York, NY 10032, USA; The Gertrude H. Sergievsky Center, College of Physicians and Surgeons, Columbia University Irving Medical Center, Columbia University, 630 West 168th Street, New York, NY 10032, USA
| | - Delaney Flaherty
- The Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, Columbia University, New York, NY 10032, USA; Department of Pathology and Cell Biology, Columbia University Irving Medical Center, Columbia University, New York, NY 10032, USA
| | - Tamil Iniyan Gunasekaran
- The Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, Columbia University, New York, NY 10032, USA; Department of Neurology, Columbia University Irving Medical Center, Columbia University, New York, NY 10032, USA; The Gertrude H. Sergievsky Center, College of Physicians and Surgeons, Columbia University Irving Medical Center, Columbia University, 630 West 168th Street, New York, NY 10032, USA
| | - Zikun Yang
- The Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, Columbia University, New York, NY 10032, USA; Department of Neurology, Columbia University Irving Medical Center, Columbia University, New York, NY 10032, USA; The Gertrude H. Sergievsky Center, College of Physicians and Surgeons, Columbia University Irving Medical Center, Columbia University, 630 West 168th Street, New York, NY 10032, USA
| | - Nathalie Jurisch-Yaksi
- Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway
| | - Andrew F Teich
- The Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, Columbia University, New York, NY 10032, USA; Department of Neurology, Columbia University Irving Medical Center, Columbia University, New York, NY 10032, USA; Department of Pathology and Cell Biology, Columbia University Irving Medical Center, Columbia University, New York, NY 10032, USA
| | - Takahisa Kanekiyo
- Department of Neuroscience, Mayo Clinic Florida, Jacksonville, FL 32224, USA; Center for Regenerative Biotherapeutics, Mayo Clinic, Jacksonville, FL 32224, USA
| | - Giuseppe Tosto
- The Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, Columbia University, New York, NY 10032, USA; Department of Neurology, Columbia University Irving Medical Center, Columbia University, New York, NY 10032, USA; The Gertrude H. Sergievsky Center, College of Physicians and Surgeons, Columbia University Irving Medical Center, Columbia University, 630 West 168th Street, New York, NY 10032, USA
| | - Badri N Vardarajan
- The Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, Columbia University, New York, NY 10032, USA; Department of Neurology, Columbia University Irving Medical Center, Columbia University, New York, NY 10032, USA; The Gertrude H. Sergievsky Center, College of Physicians and Surgeons, Columbia University Irving Medical Center, Columbia University, 630 West 168th Street, New York, NY 10032, USA
| | - Özkan İş
- Department of Neuroscience, Mayo Clinic Florida, Jacksonville, FL 32224, USA
| | - Nilüfer Ertekin-Taner
- Department of Neuroscience, Mayo Clinic Florida, Jacksonville, FL 32224, USA; Department of Neurology, Mayo Clinic Florida, Jacksonville, FL 32224, USA
| | - Richard Mayeux
- The Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, Columbia University, New York, NY 10032, USA; Department of Neurology, Columbia University Irving Medical Center, Columbia University, New York, NY 10032, USA; The Gertrude H. Sergievsky Center, College of Physicians and Surgeons, Columbia University Irving Medical Center, Columbia University, 630 West 168th Street, New York, NY 10032, USA; Department of Psychiatry, College of Physicians and Surgeons, Columbia University Irving Medical Center, Columbia University, 1051 Riverside Drive, New York, NY 10032, USA; Department of Epidemiology, Mailman School of Public Health, Columbia University Irving Medical Center, Columbia University, 722 W. 168th St., New York, NY 10032, USA
| | - Caghan Kizil
- The Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, Columbia University, New York, NY 10032, USA; Department of Neurology, Columbia University Irving Medical Center, Columbia University, New York, NY 10032, USA; The Gertrude H. Sergievsky Center, College of Physicians and Surgeons, Columbia University Irving Medical Center, Columbia University, 630 West 168th Street, New York, NY 10032, USA.
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Leung SK, Bamford RA, Jeffries AR, Castanho I, Chioza B, Flaxman CS, Moore K, Dempster EL, Harvey J, Brown JT, Ahmed Z, O'Neill P, Richardson SJ, Hannon E, Mill J. Long-read transcript sequencing identifies differential isoform expression in the entorhinal cortex in a transgenic model of tau pathology. Nat Commun 2024; 15:6458. [PMID: 39095344 PMCID: PMC11297290 DOI: 10.1038/s41467-024-50486-8] [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: 10/04/2023] [Accepted: 07/10/2024] [Indexed: 08/04/2024] Open
Abstract
Increasing evidence suggests that alternative splicing plays an important role in Alzheimer's disease (AD) pathology. We used long-read sequencing in combination with a novel bioinformatics tool (FICLE) to profile transcript diversity in the entorhinal cortex of female transgenic (TG) mice harboring a mutant form of human tau. Our analyses revealed hundreds of novel isoforms and identified differentially expressed transcripts - including specific isoforms of Apoe, App, Cd33, Clu, Fyn and Trem2 - associated with the development of tau pathology in TG mice. Subsequent profiling of the human cortex from AD individuals and controls revealed similar patterns of transcript diversity, including the upregulation of the dominant TREM2 isoform in AD paralleling the increased expression of the homologous transcript in TG mice. Our results highlight the importance of differential transcript usage, even in the absence of gene-level expression alterations, as a mechanism underpinning gene regulation in the development of AD neuropathology.
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Affiliation(s)
- Szi Kay Leung
- Department of Clinical and Biomedical Sciences, University of Exeter, Exeter, UK.
| | - Rosemary A Bamford
- Department of Clinical and Biomedical Sciences, University of Exeter, Exeter, UK
| | | | - Isabel Castanho
- Department of Clinical and Biomedical Sciences, University of Exeter, Exeter, UK
- Department of Pathology, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Barry Chioza
- Department of Clinical and Biomedical Sciences, University of Exeter, Exeter, UK
| | - Christine S Flaxman
- Department of Clinical and Biomedical Sciences, University of Exeter, Exeter, UK
| | - Karen Moore
- Biosciences, University of Exeter, Exeter, UK
| | - Emma L Dempster
- Department of Clinical and Biomedical Sciences, University of Exeter, Exeter, UK
| | - Joshua Harvey
- Department of Clinical and Biomedical Sciences, University of Exeter, Exeter, UK
| | - Jonathan T Brown
- Department of Clinical and Biomedical Sciences, University of Exeter, Exeter, UK
| | | | | | - Sarah J Richardson
- Department of Clinical and Biomedical Sciences, University of Exeter, Exeter, UK
| | - Eilis Hannon
- Department of Clinical and Biomedical Sciences, University of Exeter, Exeter, UK
| | - Jonathan Mill
- Department of Clinical and Biomedical Sciences, University of Exeter, Exeter, UK.
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3
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Butler CA, Mendoza Arvilla A, Milinkeviciute G, Da Cunha C, Kawauchi S, Rezaie N, Liang HY, Javonillo D, Thach A, Wang S, Collins S, Walker A, Shi K, Neumann J, Gomez‐Arboledas A, Henningfield CM, Hohsfield LA, Mapstone M, Tenner AJ, LaFerla FM, Mortazavi A, MacGregor GR, Green KN. The Abca7 V1613M variant reduces Aβ generation, plaque load, and neuronal damage. Alzheimers Dement 2024; 20:4914-4934. [PMID: 38506634 PMCID: PMC11247689 DOI: 10.1002/alz.13783] [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: 10/09/2023] [Revised: 12/21/2023] [Accepted: 12/23/2023] [Indexed: 03/21/2024]
Abstract
BACKGROUND Variants in ABCA7, a member of the ABC transporter superfamily, have been associated with increased risk for developing late onset Alzheimer's disease (LOAD). METHODS CRISPR-Cas9 was used to generate an Abca7V1613M variant in mice, modeling the homologous human ABCA7V1599M variant, and extensive characterization was performed. RESULTS Abca7V1613M microglia show differential gene expression profiles upon lipopolysaccharide challenge and increased phagocytic capacity. Homozygous Abca7V1613M mice display elevated circulating cholesterol and altered brain lipid composition. When crossed with 5xFAD mice, homozygous Abca7V1613M mice display fewer Thioflavin S-positive plaques, decreased amyloid beta (Aβ) peptides, and altered amyloid precursor protein processing and trafficking. They also exhibit reduced Aβ-associated inflammation, gliosis, and neuronal damage. DISCUSSION Overall, homozygosity for the Abca7V1613M variant influences phagocytosis, response to inflammation, lipid metabolism, Aβ pathology, and neuronal damage in mice. This variant may confer a gain of function and offer a protective effect against Alzheimer's disease-related pathology. HIGHLIGHTS ABCA7 recognized as a top 10 risk gene for developing Alzheimer's disease. Loss of function mutations result in increased risk for LOAD. V1613M variant reduces amyloid beta plaque burden in 5xFAD mice. V1613M variant modulates APP processing and trafficking in 5xFAD mice. V1613M variant reduces amyloid beta-associated damage in 5xFAD mice.
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Affiliation(s)
- Claire A. Butler
- Department of Neurobiology and BehaviorUniversity of CaliforniaIrvineCaliforniaUSA
- Institute for Memory Impairments and Neurological DisordersUniversity of CaliforniaIrvineCaliforniaUSA
| | - Adrian Mendoza Arvilla
- Institute for Memory Impairments and Neurological DisordersUniversity of CaliforniaIrvineCaliforniaUSA
| | - Giedre Milinkeviciute
- Institute for Memory Impairments and Neurological DisordersUniversity of CaliforniaIrvineCaliforniaUSA
| | - Celia Da Cunha
- Institute for Memory Impairments and Neurological DisordersUniversity of CaliforniaIrvineCaliforniaUSA
| | - Shimako Kawauchi
- Institute for Memory Impairments and Neurological DisordersUniversity of CaliforniaIrvineCaliforniaUSA
- Transgenic Mouse Facility, ULAR, Office of ResearchUniversity of CaliforniaIrvineCaliforniaUSA
| | - Narges Rezaie
- Department of Developmental and Cell BiologyUniversity of CaliforniaIrvineCaliforniaUSA
- Center for Complex Biological SystemsUniversity of CaliforniaIrvineCaliforniaUSA
| | - Heidi Y. Liang
- Department of Developmental and Cell BiologyUniversity of CaliforniaIrvineCaliforniaUSA
- Center for Complex Biological SystemsUniversity of CaliforniaIrvineCaliforniaUSA
| | - Dominic Javonillo
- Department of Neurobiology and BehaviorUniversity of CaliforniaIrvineCaliforniaUSA
| | - Annie Thach
- Institute for Memory Impairments and Neurological DisordersUniversity of CaliforniaIrvineCaliforniaUSA
| | - Shuling Wang
- Transgenic Mouse Facility, ULAR, Office of ResearchUniversity of CaliforniaIrvineCaliforniaUSA
| | - Sherilyn Collins
- Transgenic Mouse Facility, ULAR, Office of ResearchUniversity of CaliforniaIrvineCaliforniaUSA
| | - Amber Walker
- Transgenic Mouse Facility, ULAR, Office of ResearchUniversity of CaliforniaIrvineCaliforniaUSA
| | - Kai‐Xuan Shi
- Transgenic Mouse Facility, ULAR, Office of ResearchUniversity of CaliforniaIrvineCaliforniaUSA
| | - Jonathan Neumann
- Transgenic Mouse Facility, ULAR, Office of ResearchUniversity of CaliforniaIrvineCaliforniaUSA
| | - Angela Gomez‐Arboledas
- Institute for Memory Impairments and Neurological DisordersUniversity of CaliforniaIrvineCaliforniaUSA
| | | | - Lindsay A. Hohsfield
- Department of Neurobiology and BehaviorUniversity of CaliforniaIrvineCaliforniaUSA
| | - Mark Mapstone
- Institute for Memory Impairments and Neurological DisordersUniversity of CaliforniaIrvineCaliforniaUSA
- Department of NeurologyUniversity of CaliforniaIrvineCaliforniaUSA
| | - Andrea J. Tenner
- Department of Neurobiology and BehaviorUniversity of CaliforniaIrvineCaliforniaUSA
- Department of Molecular Biology & BiochemistryUniversity of CaliforniaIrvineCaliforniaUSA
- Department of Pathology and Laboratory MedicineUniversity of CaliforniaIrvineCaliforniaUSA
| | - Frank M. LaFerla
- Department of Neurobiology and BehaviorUniversity of CaliforniaIrvineCaliforniaUSA
- Institute for Memory Impairments and Neurological DisordersUniversity of CaliforniaIrvineCaliforniaUSA
| | - Ali Mortazavi
- Department of Developmental and Cell BiologyUniversity of CaliforniaIrvineCaliforniaUSA
- Center for Complex Biological SystemsUniversity of CaliforniaIrvineCaliforniaUSA
| | - Grant R. MacGregor
- Transgenic Mouse Facility, ULAR, Office of ResearchUniversity of CaliforniaIrvineCaliforniaUSA
- Department of Developmental and Cell BiologyUniversity of CaliforniaIrvineCaliforniaUSA
| | - Kim N. Green
- Department of Neurobiology and BehaviorUniversity of CaliforniaIrvineCaliforniaUSA
- Institute for Memory Impairments and Neurological DisordersUniversity of CaliforniaIrvineCaliforniaUSA
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Huang HX, Inglese P, Tang J, Yagoubi R, Correia GDS, Horneffer-van der Sluis VM, Camuzeaux S, Wu V, Kopanitsa MV, Willumsen N, Jackson JS, Barron AM, Saito T, Saido TC, Gentlemen S, Takats Z, Matthews PM. Mass spectrometry imaging highlights dynamic patterns of lipid co-expression with Aβ plaques in mouse and human brains. J Neurochem 2024; 168:1193-1214. [PMID: 38372586 DOI: 10.1111/jnc.16042] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2023] [Revised: 11/13/2023] [Accepted: 12/06/2023] [Indexed: 02/20/2024]
Abstract
Lipids play crucial roles in the susceptibility and brain cellular responses to Alzheimer's disease (AD) and are increasingly considered potential soluble biomarkers in cerebrospinal fluid (CSF) and plasma. To delineate the pathological correlations of distinct lipid species, we conducted a comprehensive characterization of both spatially localized and global differences in brain lipid composition in AppNL-G-F mice with spatial and bulk mass spectrometry lipidomic profiling, using human amyloid-expressing (h-Aβ) and WT mouse brains controls. We observed age-dependent increases in lysophospholipids, bis(monoacylglycerol) phosphates, and phosphatidylglycerols around Aβ plaques in AppNL-G-F mice. Immunohistology-based co-localization identified associations between focal pro-inflammatory lipids, glial activation, and autophagic flux disruption. Likewise, in human donors with varying Braak stages, similar studies of cortical sections revealed co-expression of lysophospholipids and ceramides around Aβ plaques in AD (Braak stage V/VI) but not in earlier Braak stage controls. Our findings in mice provide evidence of temporally and spatially heterogeneous differences in lipid composition as local and global Aβ-related pathologies evolve. Observing similar lipidomic changes associated with pathological Aβ plaques in human AD tissue provides a foundation for understanding differences in CSF lipids with reported clinical stage or disease severity.
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Affiliation(s)
- Helen Xuexia Huang
- Section of Bioanalytical Chemistry, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
- UK Dementia Research Institute at Imperial College London, Imperial College London, London, UK
| | - Paolo Inglese
- Section of Bioanalytical Chemistry, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
- National Phenome Centre, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
| | - Jiabin Tang
- Department of Brain Sciences, Imperial College London, London, UK
| | - Riad Yagoubi
- Section of Bioanalytical Chemistry, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
- UK Dementia Research Institute at Imperial College London, Imperial College London, London, UK
| | - Gonçalo D S Correia
- Section of Bioanalytical Chemistry, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
- National Phenome Centre, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
| | | | - Stephane Camuzeaux
- National Phenome Centre, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
| | - Vincen Wu
- Section of Bioanalytical Chemistry, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
| | - Maksym V Kopanitsa
- UK Dementia Research Institute at Imperial College London, Imperial College London, London, UK
| | - Nanet Willumsen
- UK Dementia Research Institute at Imperial College London, Imperial College London, London, UK
- Department of Brain Sciences, Imperial College London, London, UK
| | - Johanna S Jackson
- UK Dementia Research Institute at Imperial College London, Imperial College London, London, UK
- Department of Brain Sciences, Imperial College London, London, UK
| | - Anna M Barron
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
| | - Takashi Saito
- Laboratory for Proteolytic Neuroscience, RIKEN Center for Brain Science, Saitama, Japan
- Department of Neurocognitive Science, Institute of Brain Science, Nagoya City University, Graduate School of Medical Sciences, Nagoya, Aichi, Japan
| | - Takaomi C Saido
- Laboratory for Proteolytic Neuroscience, RIKEN Center for Brain Science, Saitama, Japan
- Department of Neurocognitive Science, Institute of Brain Science, Nagoya City University, Graduate School of Medical Sciences, Nagoya, Aichi, Japan
| | - Steve Gentlemen
- Department of Brain Sciences, Imperial College London, London, UK
| | - Zoltan Takats
- Section of Bioanalytical Chemistry, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
| | - Paul M Matthews
- UK Dementia Research Institute at Imperial College London, Imperial College London, London, UK
- Department of Brain Sciences, Imperial College London, London, UK
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5
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Neven J, Issayama LK, Dewachter I, Wilson DM. Genomic stress and impaired DNA repair in Alzheimer disease. DNA Repair (Amst) 2024; 139:103678. [PMID: 38669748 DOI: 10.1016/j.dnarep.2024.103678] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2024] [Accepted: 04/06/2024] [Indexed: 04/28/2024]
Abstract
Alzheimer disease (AD) is the most prominent form of dementia and has received considerable attention due to its growing burden on economic, healthcare and basic societal infrastructures. The two major neuropathological hallmarks of AD, i.e., extracellular amyloid beta (Aβ) peptide plaques and intracellular hyperphosphorylated Tau neurofibrillary tangles, have been the focus of much research, with an eye on understanding underlying disease mechanisms and identifying novel therapeutic avenues. One often overlooked aspect of AD is how Aβ and Tau may, through indirect and direct mechanisms, affect genome integrity. Herein, we review evidence that Aβ and Tau abnormalities induce excessive genomic stress and impair genome maintenance mechanisms, events that can promote DNA damage-induced neuronal cell loss and associated brain atrophy.
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Affiliation(s)
- Jolien Neven
- Hasselt University, Biomedical Research Institute, BIOMED, Hasselt 3500, Belgium
| | - Luidy Kazuo Issayama
- Hasselt University, Biomedical Research Institute, BIOMED, Hasselt 3500, Belgium
| | - Ilse Dewachter
- Hasselt University, Biomedical Research Institute, BIOMED, Hasselt 3500, Belgium
| | - David M Wilson
- Hasselt University, Biomedical Research Institute, BIOMED, Hasselt 3500, Belgium.
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Singh K, Sethi P, Datta S, Chaudhary JS, Kumar S, Jain D, Gupta JK, Kumar S, Guru A, Panda SP. Advances in gene therapy approaches targeting neuro-inflammation in neurodegenerative diseases. Ageing Res Rev 2024; 98:102321. [PMID: 38723752 DOI: 10.1016/j.arr.2024.102321] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2024] [Revised: 05/03/2024] [Accepted: 05/03/2024] [Indexed: 05/20/2024]
Abstract
Over the last three decades, neurodegenerative diseases (NDs) have increased in frequency. About 15% of the world's population suffers from NDs in some capacity, which causes cognitive and physical impairment. Neurodegenerative diseases, including Amyotrophic Lateral Sclerosis, Parkinson's disease, Alzheimer's disease, and others represent a significant and growing global health challenge. Neuroinflammation is recognized to be related to all NDs, even though NDs are caused by a complex mix of genetic, environmental, and lifestyle factors. Numerous genes and pathways such as NFκB, p38 MAPK, Akt/mTOR, caspase, nitric oxide, and COX are involved in triggering brain immune cells like astrocytes and microglia to secrete inflammatory cytokines such as tumor necrosis factor-α, interleukin (IL)-1β, and IL-6. In AD, the binding of Aβ with CD36, TLR4, and TLR6 receptors results in activation of microglia which start to produce proinflammatory cytokines and chemokines. Consequently, the pro-inflammatory cytokines worsen and spread neuroinflammation, causing the deterioration of healthy neurons and the impairment of brain functions. Gene therapy has emerged as a promising therapeutic approach to modulate the inflammatory response in NDs, offering potential neuroprotective effects and disease-modifying benefits. This review article focuses on recent advances in gene therapy strategies targeting neuroinflammation pathways in NDs. We discussed the molecular pathways involved in neuroinflammation, highlighted key genes and proteins implicated in these processes, and reviewed the latest preclinical and clinical studies utilizing gene therapy to modulate neuroinflammatory responses. Additionally, this review addressed the prospects and challenges in translating gene therapy approaches into effective treatments for NDs.
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Affiliation(s)
- Kuldeep Singh
- Department of Pharmacology, Institue of Pharmaceutical Research, GLA University, Mathura, Uttar Pradesh, India
| | - Pranshul Sethi
- Department of Pharmacology, College of Pharmacy, Shri Venkateshwara University, Gajraula, Uttar Pradesh, India
| | - Samaresh Datta
- Department of Pharmaceutical Chemistry, Birbhum Pharmacy School, Sadaipur, Dist-Birbhum, West Bengal, India
| | | | - Sunil Kumar
- Faculty of Pharmacy, P. K. University, Village, Thanra, District, Karera, Shivpuri, Madhya Pradesh, India
| | - Divya Jain
- Department of Microbiology, School of Applied and Life Sciences, Uttaranchal University, Dehradun, Uttarakhand, India
| | - Jeetendra Kumar Gupta
- Department of Pharmacology, Institue of Pharmaceutical Research, GLA University, Mathura, Uttar Pradesh, India
| | - Shivendra Kumar
- Department of Pharmacology, Rajiv Academy for Pharmacy, Mathura, Uttar Pradesh, India
| | - Ajay Guru
- Department of Cariology, Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, India
| | - Siva Prasad Panda
- Department of Pharmacology, Institue of Pharmaceutical Research, GLA University, Mathura, Uttar Pradesh, India.
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7
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von Maydell D, Wright S, Bonner JM, Staab C, Spitaleri A, Liu L, Pao PC, Yu CJ, Scannail AN, Li M, Boix CA, Mathys H, Leclerc G, Menchaca GS, Welch G, Graziosi A, Leary N, Samaan G, Kellis M, Tsai LH. Single-cell atlas of ABCA7 loss-of-function reveals impaired neuronal respiration via choline-dependent lipid imbalances. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.09.05.556135. [PMID: 38979214 PMCID: PMC11230156 DOI: 10.1101/2023.09.05.556135] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/10/2024]
Abstract
Loss-of-function (LoF) variants in the lipid transporter ABCA7 significantly increase the risk of Alzheimer's disease (odds ratio ∼2), yet the pathogenic mechanisms and the neural cell types affected by these variants remain largely unknown. Here, we performed single-nuclear RNA sequencing of 36 human post-mortem samples from the prefrontal cortex of 12 ABCA7 LoF carriers and 24 matched non-carrier control individuals. ABCA7 LoF was associated with gene expression changes in all major cell types. Excitatory neurons, which expressed the highest levels of ABCA7, showed transcriptional changes related to lipid metabolism, mitochondrial function, cell cycle-related pathways, and synaptic signaling. ABCA7 LoF-associated transcriptional changes in neurons were similarly perturbed in carriers of the common AD missense variant ABCA7 p.Ala1527Gly (n = 240 controls, 135 carriers), indicating that findings from our study may extend to large portions of the at-risk population. Consistent with ABCA7's function as a lipid exporter, lipidomic analysis of isogenic iPSC-derived neurons (iNs) revealed profound intracellular triglyceride accumulation in ABCA7 LoF, which was accompanied by a relative decrease in phosphatidylcholine abundance. Metabolomic and biochemical analyses of iNs further indicated that ABCA7 LoF was associated with disrupted mitochondrial bioenergetics that suggested impaired lipid breakdown by uncoupled respiration. Treatment of ABCA7 LoF iNs with CDP-choline (a rate-limiting precursor of phosphatidylcholine synthesis) reduced triglyceride accumulation and restored mitochondrial function, indicating that ABCA7 LoF-induced phosphatidylcholine dyshomeostasis may directly disrupt mitochondrial metabolism of lipids. Treatment with CDP-choline also rescued intracellular amyloid β -42 levels in ABCA7 LoF iNs, further suggesting a link between ABCA7 LoF metabolic disruptions in neurons and AD pathology. This study provides a detailed transcriptomic atlas of ABCA7 LoF in the human brain and mechanistically links ABCA7 LoF-induced lipid perturbations to neuronal energy dyshomeostasis. In line with a growing body of evidence, our study highlights the central role of lipid metabolism in the etiology of Alzheimer's disease.
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Singh MK, Shin Y, Ju S, Han S, Kim SS, Kang I. Comprehensive Overview of Alzheimer's Disease: Etiological Insights and Degradation Strategies. Int J Mol Sci 2024; 25:6901. [PMID: 39000011 PMCID: PMC11241648 DOI: 10.3390/ijms25136901] [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: 05/21/2024] [Revised: 06/19/2024] [Accepted: 06/21/2024] [Indexed: 07/14/2024] Open
Abstract
Alzheimer's disease (AD) is the most prevalent neurodegenerative disorder and affects millions of individuals globally. AD is associated with cognitive decline and memory loss that worsens with aging. A statistical report using U.S. data on AD estimates that approximately 6.9 million individuals suffer from AD, a number projected to surge to 13.8 million by 2060. Thus, there is a critical imperative to pinpoint and address AD and its hallmark tau protein aggregation early to prevent and manage its debilitating effects. Amyloid-β and tau proteins are primarily associated with the formation of plaques and neurofibril tangles in the brain. Current research efforts focus on degrading amyloid-β and tau or inhibiting their synthesis, particularly targeting APP processing and tau hyperphosphorylation, aiming to develop effective clinical interventions. However, navigating this intricate landscape requires ongoing studies and clinical trials to develop treatments that truly make a difference. Genome-wide association studies (GWASs) across various cohorts identified 40 loci and over 300 genes associated with AD. Despite this wealth of genetic data, much remains to be understood about the functions of these genes and their role in the disease process, prompting continued investigation. By delving deeper into these genetic associations, novel targets such as kinases, proteases, cytokines, and degradation pathways, offer new directions for drug discovery and therapeutic intervention in AD. This review delves into the intricate biological pathways disrupted in AD and identifies how genetic variations within these pathways could serve as potential targets for drug discovery and treatment strategies. Through a comprehensive understanding of the molecular underpinnings of AD, researchers aim to pave the way for more effective therapies that can alleviate the burden of this devastating disease.
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Affiliation(s)
- Manish Kumar Singh
- Department of Biochemistry and Molecular Biology, School of Medicine, Kyung Hee University, Seoul 02447, Republic of Korea
- Biomedical Science Institute, Kyung Hee University, Seoul 02447, Republic of Korea
| | - Yoonhwa Shin
- Department of Biochemistry and Molecular Biology, School of Medicine, Kyung Hee University, Seoul 02447, Republic of Korea
- Biomedical Science Institute, Kyung Hee University, Seoul 02447, Republic of Korea
| | - Songhyun Ju
- Department of Biochemistry and Molecular Biology, School of Medicine, Kyung Hee University, Seoul 02447, Republic of Korea
- Biomedical Science Institute, Kyung Hee University, Seoul 02447, Republic of Korea
- Department of Biomedical Science, Graduate School, Kyung Hee University, Seoul 02447, Republic of Korea
| | - Sunhee Han
- Department of Biochemistry and Molecular Biology, School of Medicine, Kyung Hee University, Seoul 02447, Republic of Korea
- Biomedical Science Institute, Kyung Hee University, Seoul 02447, Republic of Korea
- Department of Biomedical Science, Graduate School, Kyung Hee University, Seoul 02447, Republic of Korea
| | - Sung Soo Kim
- Department of Biochemistry and Molecular Biology, School of Medicine, Kyung Hee University, Seoul 02447, Republic of Korea
- Biomedical Science Institute, Kyung Hee University, Seoul 02447, Republic of Korea
- Department of Biomedical Science, Graduate School, Kyung Hee University, Seoul 02447, Republic of Korea
| | - Insug Kang
- Department of Biochemistry and Molecular Biology, School of Medicine, Kyung Hee University, Seoul 02447, Republic of Korea
- Biomedical Science Institute, Kyung Hee University, Seoul 02447, Republic of Korea
- Department of Biomedical Science, Graduate School, Kyung Hee University, Seoul 02447, Republic of Korea
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9
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Loeffler DA. Enhancing of cerebral Abeta clearance by modulation of ABC transporter expression: a review of experimental approaches. Front Aging Neurosci 2024; 16:1368200. [PMID: 38872626 PMCID: PMC11170721 DOI: 10.3389/fnagi.2024.1368200] [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: 01/10/2024] [Accepted: 05/01/2024] [Indexed: 06/15/2024] Open
Abstract
Clearance of amyloid-beta (Aβ) from the brain is impaired in both early-onset and late-onset Alzheimer's disease (AD). Mechanisms for clearing cerebral Aβ include proteolytic degradation, antibody-mediated clearance, blood brain barrier and blood cerebrospinal fluid barrier efflux, glymphatic drainage, and perivascular drainage. ATP-binding cassette (ABC) transporters are membrane efflux pumps driven by ATP hydrolysis. Their functions include maintenance of brain homeostasis by removing toxic peptides and compounds, and transport of bioactive molecules including cholesterol. Some ABC transporters contribute to lowering of cerebral Aβ. Mechanisms suggested for ABC transporter-mediated lowering of brain Aβ, in addition to exporting of Aβ across the blood brain and blood cerebrospinal fluid barriers, include apolipoprotein E lipidation, microglial activation, decreased amyloidogenic processing of amyloid precursor protein, and restricting the entrance of Aβ into the brain. The ABC transporter superfamily in humans includes 49 proteins, eight of which have been suggested to reduce cerebral Aβ levels. This review discusses experimental approaches for increasing the expression of these ABC transporters, clinical applications of these approaches, changes in the expression and/or activity of these transporters in AD and transgenic mouse models of AD, and findings in the few clinical trials which have examined the effects of these approaches in patients with AD or mild cognitive impairment. The possibility that therapeutic upregulation of ABC transporters which promote clearance of cerebral Aβ may slow the clinical progression of AD merits further consideration.
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Affiliation(s)
- David A. Loeffler
- Department of Neurology, Beaumont Research Institute, Corewell Health, Royal Oak, MI, United States
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10
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Henningfield CM, Soni N, Lee RW, Sharma R, Cleland JL, Green KN. Selective targeting and modulation of plaque associated microglia via systemic hydroxyl dendrimer administration in an Alzheimer's disease mouse model. Alzheimers Res Ther 2024; 16:101. [PMID: 38711159 PMCID: PMC11071231 DOI: 10.1186/s13195-024-01470-3] [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: 10/26/2023] [Accepted: 04/29/2024] [Indexed: 05/08/2024]
Abstract
BACKGROUND In Alzheimer's disease (AD), microglia surround extracellular plaques and mount a sustained inflammatory response, contributing to the pathogenesis of the disease. Identifying approaches to specifically target plaque-associated microglia (PAMs) without interfering in the homeostatic functions of non-plaque associated microglia would afford a powerful tool and potential therapeutic avenue. METHODS Here, we demonstrated that a systemically administered nanomedicine, hydroxyl dendrimers (HDs), can cross the blood brain barrier and are preferentially taken up by PAMs in a mouse model of AD. As proof of principle, to demonstrate biological effects in PAM function, we treated the 5xFAD mouse model of amyloidosis for 4 weeks via systemic administration (ip, 2x weekly) of HDs conjugated to a colony stimulating factor-1 receptor (CSF1R) inhibitor (D-45113). RESULTS Treatment resulted in significant reductions in amyloid-beta (Aβ) and a stark reduction in the number of microglia and microglia-plaque association in the subiculum and somatosensory cortex, as well as a downregulation in microglial, inflammatory, and synaptic gene expression compared to vehicle treated 5xFAD mice. CONCLUSIONS This study demonstrates that systemic administration of a dendranib may be utilized to target and modulate PAMs.
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Affiliation(s)
- Caden M Henningfield
- Department of Neurobiology and Behavior, University of California, 3208 Biological Sciences III, Irvine, CA, 92697, USA
| | - Neelakshi Soni
- Department of Neurobiology and Behavior, University of California, 3208 Biological Sciences III, Irvine, CA, 92697, USA
| | - Ryan W Lee
- Department of Neurobiology and Behavior, University of California, 3208 Biological Sciences III, Irvine, CA, 92697, USA
| | - Rishi Sharma
- Ashvattha Therapeutics, Inc, Redwood City, CA, 94065, USA
| | | | - Kim N Green
- Department of Neurobiology and Behavior, University of California, 3208 Biological Sciences III, Irvine, CA, 92697, USA.
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11
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Ahmed H, Wang Y, Griffiths WJ, Levey AI, Pikuleva I, Liang SH, Haider A. Brain cholesterol and Alzheimer's disease: challenges and opportunities in probe and drug development. Brain 2024; 147:1622-1635. [PMID: 38301270 PMCID: PMC11068113 DOI: 10.1093/brain/awae028] [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: 03/04/2023] [Revised: 12/20/2023] [Accepted: 01/13/2024] [Indexed: 02/03/2024] Open
Abstract
Cholesterol homeostasis is impaired in Alzheimer's disease; however, attempts to modulate brain cholesterol biology have not translated into tangible clinical benefits for patients to date. Several recent milestone developments have substantially improved our understanding of how excess neuronal cholesterol contributes to the pathophysiology of Alzheimer's disease. Indeed, neuronal cholesterol was linked to the formation of amyloid-β and neurofibrillary tangles through molecular pathways that were recently delineated in mechanistic studies. Furthermore, remarkable advances in translational molecular imaging have now made it possible to probe cholesterol metabolism in the living human brain with PET, which is an important prerequisite for future clinical trials that target the brain cholesterol machinery in Alzheimer's disease patients-with the ultimate aim being to develop disease-modifying treatments. This work summarizes current concepts of how the biosynthesis, transport and clearance of brain cholesterol are affected in Alzheimer's disease. Further, current strategies to reverse these alterations by pharmacotherapy are critically discussed in the wake of emerging translational research tools that support the assessment of brain cholesterol biology not only in animal models but also in patients with Alzheimer's disease.
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Affiliation(s)
- Hazem Ahmed
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, Yale University, New Haven, CT 06510, USA
- Center for Radiopharmaceutical Sciences ETH-PSI-USZ, Institute of Pharmaceutical Sciences ETH, 8093 Zurich, Switzerland
| | - Yuqin Wang
- Institute of Life Science, Swansea University Medical School, Swansea SA2 8PP, UK
| | - William J Griffiths
- Institute of Life Science, Swansea University Medical School, Swansea SA2 8PP, UK
| | - Allan I Levey
- Department of Neurology, Emory University School of Medicine, Atlanta, GA 30322, USA
| | - Irina Pikuleva
- Department of Ophthalmology and Visual Sciences, Case Western Reserve University, Cleveland, OH 44106, USA
| | - Steven H Liang
- Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA 30322, USA
| | - Ahmed Haider
- Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA 30322, USA
- Department of Radiology, Division of Nuclear Medicine and Molecular Imaging Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
- Department of Nuclear Medicine, University Hospital Zurich, University of Zurich, 8091 Zurich, Switzerland
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12
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Malamon JS, Farrell JJ, Xia LC, Dombroski BA, Das RG, Way J, Kuzma AB, Valladares O, Leung YY, Scanlon AJ, Lopez IAB, Brehony J, Worley KC, Zhang NR, Wang LS, Farrer LA, Schellenberg GD, Lee WP, Vardarajan BN. A comparative study of structural variant calling in WGS from Alzheimer's disease families. Life Sci Alliance 2024; 7:e202302181. [PMID: 38418088 PMCID: PMC10902710 DOI: 10.26508/lsa.202302181] [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: 05/24/2023] [Revised: 02/07/2024] [Accepted: 02/08/2024] [Indexed: 03/01/2024] Open
Abstract
Detecting structural variants (SVs) in whole-genome sequencing poses significant challenges. We present a protocol for variant calling, merging, genotyping, sensitivity analysis, and laboratory validation for generating a high-quality SV call set in whole-genome sequencing from the Alzheimer's Disease Sequencing Project comprising 578 individuals from 111 families. Employing two complementary pipelines, Scalpel and Parliament, for SV/indel calling, we assessed sensitivity through sample replicates (N = 9) with in silico variant spike-ins. We developed a novel metric, D-score, to evaluate caller specificity for deletions. The accuracy of deletions was evaluated by Sanger sequencing. We generated a high-quality call set of 152,301 deletions of diverse sizes. Sanger sequencing validated 114 of 146 detected deletions (78.1%). Scalpel excelled in accuracy for deletions ≤100 bp, whereas Parliament was optimal for deletions >900 bp. Overall, 83.0% and 72.5% of calls by Scalpel and Parliament were validated, respectively, including all 11 deletions called by both Parliament and Scalpel between 101 and 900 bp. Our flexible protocol successfully generated a high-quality deletion call set and a truth set of Sanger sequencing-validated deletions with precise breakpoints spanning 1-17,000 bp.
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Affiliation(s)
- John S Malamon
- Department of Pathology and Laboratory Medicine, Penn Neurodegeneration Genomics Center, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - John J Farrell
- Biomedical Genetics Section, Department of Medicine, Boston University School of Medicine, Boston University, Boston, MA, USA
| | - Li Charlie Xia
- https://ror.org/03mtd9a03 Division of Oncology, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
- Department of Statistics, The Wharton School, University of Pennsylvania, Philadelphia, PA, USA
| | - Beth A Dombroski
- Department of Pathology and Laboratory Medicine, Penn Neurodegeneration Genomics Center, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Rueben G Das
- Department of Pathology and Laboratory Medicine, Penn Neurodegeneration Genomics Center, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Jessica Way
- Broad Institute, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Amanda B Kuzma
- Department of Pathology and Laboratory Medicine, Penn Neurodegeneration Genomics Center, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Otto Valladares
- Department of Pathology and Laboratory Medicine, Penn Neurodegeneration Genomics Center, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Yuk Yee Leung
- Department of Pathology and Laboratory Medicine, Penn Neurodegeneration Genomics Center, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Allison J Scanlon
- Department of Pathology and Laboratory Medicine, Penn Neurodegeneration Genomics Center, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Irving Antonio Barrera Lopez
- Department of Pathology and Laboratory Medicine, Penn Neurodegeneration Genomics Center, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Jack Brehony
- Department of Pathology and Laboratory Medicine, Penn Neurodegeneration Genomics Center, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Kim C Worley
- https://ror.org/02pttbw34 Human Genome Sequencing Center, and Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Nancy R Zhang
- Department of Statistics, The Wharton School, University of Pennsylvania, Philadelphia, PA, USA
| | - Li-San Wang
- Department of Pathology and Laboratory Medicine, Penn Neurodegeneration Genomics Center, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Lindsay A Farrer
- Biomedical Genetics Section, Department of Medicine, Boston University School of Medicine, Boston University, Boston, MA, USA
- Departments of Neurology and Ophthalmology, Boston University School of Medicine, Boston University, Boston, MA, USA
- Departments of Epidemiology and Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Gerard D Schellenberg
- Department of Pathology and Laboratory Medicine, Penn Neurodegeneration Genomics Center, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Wan-Ping Lee
- Department of Pathology and Laboratory Medicine, Penn Neurodegeneration Genomics Center, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Badri N Vardarajan
- https://ror.org/01esghr10 Gertrude H. Sergievsky Center and Taub Institute of Aging Brain, Department of Neurology, Columbia University Medical Center, New York, NY, USA
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13
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Nicolas G. Lessons from genetic studies in Alzheimer disease. Rev Neurol (Paris) 2024; 180:368-377. [PMID: 38429159 DOI: 10.1016/j.neurol.2023.12.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Accepted: 12/27/2023] [Indexed: 03/03/2024]
Abstract
Research on Alzheimer disease (AD) genetics has provided critical advances to the knowledge of AD pathophysiological mechanisms. The etiology of AD can be divided into monogenic (autosomal dominant inheritance) and complex (multifactorial determinism). In monogenic AD, recent advances mainly concern mutation-associated mechanisms, presymptomatic clinical studies, and the search for modifiers of ages of onset that are still ongoing. In complex AD, genetic factors can be further categorized into three classes: (i) the APOE-ɛ4 and ɛ2 common alleles that represent a category by themselves as they are both common and with a strong impact on AD risk; (ii) common variants with a modest effect, identified in genome-wide association studies (GWAS); and (iii) rare variants with a moderate-to-strong effect, identified in case-control sequencing studies. Regarding APOE, odds ratios, available in multiple ethnicities, can now be converted into penetrance curves, although such curves remain to be performed in diverse ethnicities. In addition, advances in the understanding of mechanisms have been recently reported and rare APOE variants add to the complexity. In the GWAS category, novel loci have been discovered thanks to larger studies, doubling the number of hits as compared to the previous reference meta-analysis. However, such modest risk factors cannot be used in the clinic, neither individually, nor in genetic risk scores. In the category of rare variants, two novel genes, ABCA1 and ATP8B4 now add to the three main ones, TREM2, SORL1, and ABCA7. The study of such rare variants suggests oligogenic inheritance in some families, as also suggested by digenic penetrance curves for SORL1 loss-of-function variants with APOE-ɛ4. Cumulate frequencies of definite (so-called) rare risk factors are 2.3% to 3.6% (depending on thresholds on odds ratios) in control databases and many more remain to be classified and identified, showing how important these risk factors may be as part of the complex determinism of AD. A better understanding of these rare risk factors and their combined effects on each other, with common variants, and with environmental factors, should allow for a prediction of AD risk and, eventually, preventive medicine. Taken together, most genetic determinants of AD, in monogenic and in complex forms, point toward the aggregation of Aβ as a pivotal triggering factor, such that targeting it may be efficient as prevention in at-risk individuals. The role of neuroinflammation, microglia, and Tau pathology modulation are important sources of research for disease modification.
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Affiliation(s)
- G Nicolas
- Univ Rouen Normandie, Normandie Univ, Inserm U1245 and CHU Rouen, Department of Genetics and CNRMAJ, 76000 Rouen, France.
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14
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Duchateau L, Wawrzyniak N, Sleegers K. The ABC's of Alzheimer risk gene ABCA7. Alzheimers Dement 2024; 20:3629-3648. [PMID: 38556850 PMCID: PMC11095487 DOI: 10.1002/alz.13805] [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: 01/03/2024] [Revised: 02/27/2024] [Accepted: 02/29/2024] [Indexed: 04/02/2024]
Abstract
Alzheimer's disease (AD) is a growing problem worldwide. Since ABCA7's identification as a risk gene, it has been extensively researched for its role in the disease. We review its recently characterized structure and what the mechanistic insights teach us about its function. We furthermore provide an overview of identified ABCA7 mutations, their presence in different ancestries and protein domains and how they might cause AD. For ABCA7 PTC variants and a VNTR expansion, haploinsufficiency is proposed as the most likely mode-of-action, although splice events could further influence disease risk. Overall, the need to better understand expression of canonical ABCA7 and its isoforms in disease is indicated. Finally, ABCA7's potential functions in lipid metabolism, phagocytosis, amyloid deposition, and the interplay between these three, is described. To conclude, in this review, we provide a comprehensive overview and discussion about the current knowledge on ABCA7 in AD, and what research questions remain. HIGHLIGHTS: Alzheimer's risk-increasing variants in ABCA7 can be found in up to 7% of AD patients. We review the recently characterized protein structure of ABCA7. We present latest insights in genetics, expression patterns, and functions of ABCA7.
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Affiliation(s)
- Lena Duchateau
- Complex Genetics of Alzheimer's Disease group, VIB‐UAntwerp Center for Molecular NeurologyWilrijkAntwerpBelgium
- Department of Biomedical SciencesUniversity of AntwerpWilrijkAntwerpBelgium
| | - Nicole Wawrzyniak
- Complex Genetics of Alzheimer's Disease group, VIB‐UAntwerp Center for Molecular NeurologyWilrijkAntwerpBelgium
- Chávez‐Gutiérrez Lab, VIB‐KU Leuven Center for Brain and Disease Research, VIBLeuvenBelgium
| | - Kristel Sleegers
- Complex Genetics of Alzheimer's Disease group, VIB‐UAntwerp Center for Molecular NeurologyWilrijkAntwerpBelgium
- Department of Biomedical SciencesUniversity of AntwerpWilrijkAntwerpBelgium
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15
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Nicolas G, Zaréa A, Lacour M, Quenez O, Rousseau S, Richard AC, Bonnevalle A, Schramm C, Olaso R, Sandron F, Boland A, Deleuze JF, Andriuta D, Anthony P, Auriacombe S, Balageas AC, Ballan G, Barbay M, Béjot Y, Belliard S, Benaiteau M, Bennys K, Bombois S, Boutoleau-Bretonnière C, Branger P, Carlier J, Cartz-Piver L, Cassagnaud P, Ceccaldi MP, Chauviré V, Chen Y, Cogez J, Cognat E, Contegal-Callier F, Corneille L, Couratier P, Cretin B, Crinquette C, Dauriat B, Dautricourt S, de la Sayette V, de Liège A, Deffond D, Demurger F, Deramecourt V, Derollez C, Dionet E, Doco Fenzy M, Dumurgier J, Dutray A, Etcharry-Bouyx F, Formaglio M, Gabelle A, Gainche-Salmon A, Godefroy O, Graber M, Gregoire C, Grimaldi S, Gueniat J, Gueriot C, Guillet-Pichon V, Haffen S, Hanta CR, Hardy C, Hautecloque G, Heitz C, Hourregue C, Jonveaux T, Jurici S, Koric L, Krolak-Salmon P, Lagarde J, Lanoiselée HM, Laurens B, Le Ber I, Le Guyader G, Leblanc A, Lebouvier T, Levy R, Lippi A, Mackowiak MA, Magnin E, Marelli C, Martinaud O, Maureille A, Migliaccio R, Milongo-Rigal E, Mohr S, Mollion H, Morin A, Nivelle J, Noiray C, Olivieri P, Paquet C, Pariente J, Pasquier F, Perron A, Philippi N, Planche V, Pouclet-Courtemanche H, Rafiq M, Rollin-Sillaire A, Roué-Jagot C, Saracino D, Sarazin M, Sauvée M, Sellal F, Teichmann M, Thauvin C, Thomas Q, Tisserand C, Turpinat C, Van Damme L, Vercruysse O, Villain N, Wagemann N, Charbonnier C, Wallon D. Assessment of Mendelian and risk-factor genes in Alzheimer disease: A prospective nationwide clinical utility study and recommendations for genetic screening. Genet Med 2024; 26:101082. [PMID: 38281098 DOI: 10.1016/j.gim.2024.101082] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Revised: 01/17/2024] [Accepted: 01/19/2024] [Indexed: 01/29/2024] Open
Abstract
PURPOSE To assess the likely pathogenic/pathogenic (LP/P) variants rates in Mendelian dementia genes and the moderate-to-strong risk factors rates in patients with Alzheimer disease (AD). METHODS We included 700 patients in a prospective study and performed exome sequencing. A panel of 28 Mendelian and 6 risk-factor genes was interpreted and returned to patients. We built a framework for risk variant interpretation and risk gradation and assessed the detection rates among early-onset AD (EOAD, age of onset (AOO) ≤65 years, n = 608) depending on AOO and pedigree structure and late-onset AD (66 < AOO < 75, n = 92). RESULTS Twenty-one patients carried a LP/P variant in a Mendelian gene (all with EOAD, 3.4%), 20 of 21 affected APP, PSEN1, or PSEN2. LP/P variant detection rates in EOAD ranged from 1.7% to 11.6% based on AOO and pedigree structure. Risk factors were found in 69.5% of the remaining 679 patients, including 83 (12.2%) being heterozygotes for rare risk variants, in decreasing order of frequency, in TREM2, ABCA7, ATP8B4, SORL1, and ABCA1, including 5 heterozygotes for multiple rare risk variants, suggesting non-monogenic inheritance, even in some autosomal-dominant-like pedigrees. CONCLUSION We suggest that genetic screening should be proposed to all EOAD patients and should no longer be prioritized based on pedigree structure.
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Affiliation(s)
- Gaël Nicolas
- Univ Rouen Normandie, Normandie Univ, Inserm U1245 and CHU Rouen, Department of Genetics and CNRMAJ, F-76000 Rouen, France.
| | - Aline Zaréa
- Univ Rouen Normandie, Normandie Univ, Inserm U1245 and CHU Rouen, Department of Neurology and CNRMAJ, F-76000 Rouen, France
| | - Morgane Lacour
- Univ Rouen Normandie, Normandie Univ, Inserm U1245 and CHU Rouen, Department of Neurology and CNRMAJ, F-76000 Rouen, France
| | - Olivier Quenez
- Univ Rouen Normandie, Normandie Univ, Inserm U1245 and CHU Rouen, Department of Genetics and CNRMAJ, F-76000 Rouen, France
| | - Stéphane Rousseau
- Univ Rouen Normandie, Normandie Univ, Inserm U1245 and CHU Rouen, Department of Genetics and CNRMAJ, F-76000 Rouen, France
| | - Anne-Claire Richard
- Univ Rouen Normandie, Normandie Univ, Inserm U1245 and CHU Rouen, Department of Genetics and CNRMAJ, F-76000 Rouen, France
| | - Antoine Bonnevalle
- Univ Rouen Normandie, Normandie Univ, Inserm U1245 and CHU Rouen, Department of Genetics and CNRMAJ, F-76000 Rouen, France; Univ Rouen Normandie, Normandie Univ, Inserm U1245 and CHU Rouen, Department of Neurology and CNRMAJ, F-76000 Rouen, France
| | - Catherine Schramm
- Univ Rouen Normandie, Normandie Univ, Inserm U1245 and CHU Rouen, Department of Genetics and CNRMAJ, F-76000 Rouen, France
| | - Robert Olaso
- Université Paris-Saclay, CEA, Centre National de Recherche en Génomique Humaine (CNRGH), Evry, France
| | - Florian Sandron
- Université Paris-Saclay, CEA, Centre National de Recherche en Génomique Humaine (CNRGH), Evry, France
| | - Anne Boland
- Université Paris-Saclay, CEA, Centre National de Recherche en Génomique Humaine (CNRGH), Evry, France
| | - Jean-François Deleuze
- Université Paris-Saclay, CEA, Centre National de Recherche en Génomique Humaine (CNRGH), Evry, France
| | - Daniela Andriuta
- Service de Neurologie CHU Amiens et Laboratoire de Neurosciences Fonctionnelles et Pathologies, Université de Picardie Jules Verne, Amiens, France
| | - Pierre Anthony
- Department of Neurology, Hôpitaux Civils de Colmar, F-68000 Colmar, France
| | - Sophie Auriacombe
- Univ. Bordeaux, CNRS UMR 5293, Institut des Maladies Neurodégénératives, Bordeaux, France
| | | | | | - Mélanie Barbay
- Service de Neurologie CHU Amiens et Laboratoire de Neurosciences Fonctionnelles et Pathologies, Université de Picardie Jules Verne, Amiens, France
| | - Yannick Béjot
- Department of Neurology, University Hospital of Dijon, University of Burgundy, Dijon, France
| | - Serge Belliard
- Unité de recherche 1077 INSERM-EPHE-UNICAEN Neuropsychologie & Imagerie de la Mémoire Humaine (NIMH), Caen, France; Centre Mémoire Ressources et Recherche Haute Bretagne, CHU Rennes, Rennes, France
| | - Marie Benaiteau
- Neurology Department, Hôpital Pierre-Paul Riquet, Centre Hospitalier Universitaire de Toulouse, Toulouse, France
| | - Karim Bennys
- Memory Ressources Research Center, Department of Neurology, University Hospital of Montpellier, Montpellier, France
| | - Stéphanie Bombois
- Sorbonne Université, INSERM U1127, CNRS 7235, Institut du Cerveau - ICM, Paris, France; AP-HP Sorbonne Université, Pitié-Salpêtrière Hospital, Department of Neurology, Institute of Memory and Alzheimer's Disease, Paris, France
| | | | - Pierre Branger
- Department of Neurology, Caen University Hospital, Caen, France
| | - Jasmine Carlier
- Neurology Department, Hôpital Pierre-Paul Riquet, Centre Hospitalier Universitaire de Toulouse, Toulouse, France
| | - Leslie Cartz-Piver
- Memory Ressources Research Center, Department of Neurology, University Hospital of Limoges, France Inserm U1094, IRD U270, EPIMACT, Université of Limoges, Limoges, France
| | | | - Mathieu-Pierre Ceccaldi
- Institute of Neurophysiopathology UMR 7051 Aix Marseille Université & Assistance Publique de Marseille, Marseille, France
| | - Valérie Chauviré
- CMRR, CRMR Neurogénétique, Service de Neurologie, CHU d'ANGERS, Angers, France
| | - Yaohua Chen
- Univ Lille, CHU Lille, Inserm 1172, Memory center, CNRMAJ, LiCEND, Labex DistAlz 59000 Lille, France
| | - Julien Cogez
- Department of Neurology, Caen University Hospital, Caen, France
| | - Emmanuel Cognat
- Cognitive Neurology Center, AP-HP.Nord, Site Lariboisière Fernand-Widal, Paris, France; Université Paris Cité, UMR-S 1144, INSERM, Paris, France
| | | | - Léa Corneille
- Institute of Neurophysiopathology UMR 7051 Aix Marseille Université & Assistance Publique de Marseille, Marseille, France
| | | | - Benjamin Cretin
- CMRR d'Alsace, Service de Neurologie, CHU Strasbourg, Strasbourg, France
| | | | - Benjamin Dauriat
- Service de Génétique Médicale, Hopital Mère-Enfant, CHU Limoges, Limoges, France
| | - Sophie Dautricourt
- CMRR Lyon, Department of Neurology, University Hospital of Lyon, Hospices Civils de Lyon, Lyon, France
| | - Vincent de la Sayette
- Department of Neurology, Caen University Hospital, Caen, France; Normandie UNIV, UNICAEN, PSL Research University, EPHE, INSERM, CHU de Caen, Neuropsychologie et Imagerie de la Mémoire Humaine, Caen, France
| | - Astrid de Liège
- Service de Neurologie, APHP, Hôpital Avicenne, Université Sorbonne Paris Nord, Bobigny, France
| | - Didier Deffond
- CMRR Clermont-Ferrand, Service de Neurologie, CHU Clermont-Ferrand, Clermont-Ferrand, France
| | | | - Vincent Deramecourt
- Univ Lille, CHU Lille, Inserm 1172, Memory center, CNRMAJ, LiCEND, Labex DistAlz 59000 Lille, France
| | | | - Elsa Dionet
- CMRR Clermont-Ferrand, Service de Neurologie, CHU Clermont-Ferrand, Clermont-Ferrand, France
| | - Martine Doco Fenzy
- Nantes Université, CHU Nantes, CNRS, INSERM, l'institut du thorax, Nantes, France; CHU Nantes, Service de Génétique, Nantes, France; CHU Reims, Service de Génétique, Reims, France
| | - Julien Dumurgier
- Cognitive Neurology Center, AP-HP.Nord, Site Lariboisière Fernand-Widal, Paris, France; Université Paris Cité, UMR-S 1144, INSERM, Paris, France
| | - Anaïs Dutray
- Service de Neurologie, Centre Hospitalier Perpignan, Perpignan, France
| | | | - Maïté Formaglio
- CMRR Lyon, Department of Neurology, University Hospital of Lyon, Hospices Civils de Lyon, Lyon, France
| | - Audrey Gabelle
- Memory Ressources Research Center, Department of Neurology, University Hospital of Montpellier, Montpellier, France
| | - Anne Gainche-Salmon
- Centre Mémoire Ressources et Recherche Haute Bretagne, CHU Rennes, Rennes, France
| | - Olivier Godefroy
- Service de Neurologie CHU Amiens et Laboratoire de Neurosciences Fonctionnelles et Pathologies, Université de Picardie Jules Verne, Amiens, France
| | - Mathilde Graber
- Centre mémoire ressources et recherche, CHU Dijon, Dijon, France
| | - Chloé Gregoire
- CHU de Bordeaux, Pôle de Neurosciences Cliniques, Centre Mémoire de Ressources et de Recherche, Bordeaux, France
| | - Stephan Grimaldi
- Institute of Neurophysiopathology UMR 7051 Aix Marseille Université & Assistance Publique de Marseille, Marseille, France
| | - Julien Gueniat
- Centre mémoire ressources et recherche, CHU Dijon, Dijon, France
| | - Claude Gueriot
- Institute of Neurophysiopathology UMR 7051 Aix Marseille Université & Assistance Publique de Marseille, Marseille, France
| | | | - Sophie Haffen
- Centre mémoire Recherche Ressources, Service de Neurologie, CHU Besançon, Besançon, France
| | - Cezara-Roxana Hanta
- Centre Mémoire Ressources et Recherche Haute Bretagne, CHU Rennes, Rennes, France
| | - Clémence Hardy
- Univ Rouen Normandie, Normandie Univ, Inserm U1245 and CHU Rouen, Department of Neurology and CNRMAJ, F-76000 Rouen, France
| | | | - Camille Heitz
- Institut du cerveau Trocadero, Paris, France; Neurology Department, Hôpital Universitaire de Nîmes, Nîmes, France
| | - Claire Hourregue
- Cognitive Neurology Center, AP-HP.Nord, Site Lariboisière Fernand-Widal, Paris, France
| | - Thérèse Jonveaux
- Centre Mémoire de Ressources et de Recherche de Lorraine Service de Neurologie CHRU Nancy, Nancy, France; Laboratoire 2LPN EA 7489 Université de Lorraine, Nancy, France
| | - Snejana Jurici
- Consultation Mémoire, Service de Gériatrie, Centre Hospitalier Perpignan, Perpignan, France
| | - Lejla Koric
- Institute of Neurophysiopathology UMR 7051 Aix Marseille Université & Assistance Publique de Marseille, Marseille, France; Aix-Marseille Univ, UMR 7249, CNRS, Centrale Marseille, Institut Fresnel, Marseille, France
| | - Pierre Krolak-Salmon
- CMRR Lyon, Department of Neurology, University Hospital of Lyon, Hospices Civils de Lyon, Lyon, France
| | - Julien Lagarde
- Department of Neurology of Memory and Language, GHU Paris Psychiatrie & Neurosciences, Hôpital Sainte Anne, F-75014, Paris, France; Université Paris-Cité, F-75006 Paris, France; Université Paris-Saclay, BioMaps, Service Hospitalier Frédéric Joliot CEA, CNRS, Inserm, F-91401, Orsay, France
| | | | - Brice Laurens
- CHU de Bordeaux, Pôle de Neurosciences Cliniques, Centre Mémoire de Ressources et de Recherche, Bordeaux, France
| | - Isabelle Le Ber
- Sorbonne Université, INSERM U1127, CNRS 7235, Institut du Cerveau - ICM, Paris, France; AP-HP Sorbonne Université, Pitié-Salpêtrière Hospital, Department of Neurology, Institute of Memory and Alzheimer's Disease, Paris, France
| | | | - Amélie Leblanc
- Consultations neurologiques, HIA Clermont-Tonnerre, Brest, France; Service de neurologie, CHU Cavale-Blanche, Brest, France
| | - Thibaud Lebouvier
- Univ Lille, CHU Lille, Inserm 1172, Memory center, CNRMAJ, LiCEND, Labex DistAlz 59000 Lille, France
| | - Richard Levy
- Sorbonne Université, INSERM U1127, CNRS 7235, Institut du Cerveau - ICM, Paris, France; AP-HP Sorbonne Université, Pitié-Salpêtrière Hospital, Department of Neurology, Institute of Memory and Alzheimer's Disease, Paris, France
| | - Anaïs Lippi
- Service de Neurologie, Hopital Gui de Chauliac, CHU de Montpellier, Montpellier, France
| | | | - Eloi Magnin
- Laboratoire de neuroscience, Université de Franche-Comté UFC et Service de Neurologie, CMRR, CHU Besançon, Besançon, France
| | - Cecilia Marelli
- Service de Neurologie, Hopital Gui de Chauliac, CHU de Montpellier, Montpellier, France
| | - Olivier Martinaud
- Department of Neurology, Caen University Hospital, Caen, France; Normandie UNIV, UNICAEN, PSL Research University, EPHE, INSERM, CHU de Caen, Neuropsychologie et Imagerie de la Mémoire Humaine, Caen, France
| | | | - Raffaella Migliaccio
- Sorbonne Université, INSERM U1127, CNRS 7235, Institut du Cerveau - ICM, Paris, France; AP-HP Sorbonne Université, Pitié-Salpêtrière Hospital, Department of Neurology, Institute of Memory and Alzheimer's Disease, Paris, France
| | - Emilie Milongo-Rigal
- Neurology Department, Hôpital Pierre-Paul Riquet, Centre Hospitalier Universitaire de Toulouse, Toulouse, France
| | - Sophie Mohr
- Centre mémoire ressources et recherche, CHU Dijon, Dijon, France
| | - Hélène Mollion
- CMRR Lyon, Department of Neurology, University Hospital of Lyon, Hospices Civils de Lyon, Lyon, France
| | - Alexandre Morin
- Univ Rouen Normandie, Normandie Univ, Inserm U1245 and CHU Rouen, Department of Neurology and CNRMAJ, F-76000 Rouen, France; Département de Psychiatrie, Centre Hospitalier du Rouvray, Université de Rouen, 76000, Sotteville-lès-Rouen, France
| | | | - Camille Noiray
- Department of Neurology of Memory and Language, GHU Paris Psychiatrie & Neurosciences, Hôpital Sainte Anne, F-75014, Paris, France; Université Paris-Cité, F-75006 Paris, France; Université Paris-Saclay, BioMaps, Service Hospitalier Frédéric Joliot CEA, CNRS, Inserm, F-91401, Orsay, France
| | - Pauline Olivieri
- Department of Neurology of Memory and Language, GHU Paris Psychiatrie & Neurosciences, Hôpital Sainte Anne, F-75014, Paris, France; Université Paris-Cité, F-75006 Paris, France; Université Paris-Saclay, BioMaps, Service Hospitalier Frédéric Joliot CEA, CNRS, Inserm, F-91401, Orsay, France
| | - Claire Paquet
- Cognitive Neurology Center, AP-HP.Nord, Site Lariboisière Fernand-Widal, Paris, France; Université Paris Cité, UMR-S 1144, INSERM, Paris, France
| | - Jérémie Pariente
- Neurology Department, Hôpital Pierre-Paul Riquet, Centre Hospitalier Universitaire de Toulouse, Toulouse, France; Toulouse NeuroImaging Center (ToNIC), INSERM-University of Toulouse Paul Sabatier, Toulouse, France
| | - Florence Pasquier
- Univ Lille, CHU Lille, Inserm 1172, Memory center, CNRMAJ, LiCEND, Labex DistAlz 59000 Lille, France
| | - Alexandre Perron
- Department of Neurology, Hôpitaux Civils de Colmar, F-68000 Colmar, France
| | - Nathalie Philippi
- CMRR d'Alsace, Service de Neurologie, CHU Strasbourg, Strasbourg, France
| | - Vincent Planche
- Univ. Bordeaux, CNRS UMR 5293, Institut des Maladies Neurodégénératives, Bordeaux, France; CHU de Bordeaux, Pôle de Neurosciences Cliniques, Centre Mémoire de Ressources et de Recherche, Bordeaux, France
| | | | - Marie Rafiq
- Neurology Department, Hôpital Pierre-Paul Riquet, Centre Hospitalier Universitaire de Toulouse, Toulouse, France; Toulouse NeuroImaging Center (ToNIC), INSERM-University of Toulouse Paul Sabatier, Toulouse, France
| | | | - Carole Roué-Jagot
- Department of Neurology of Memory and Language, GHU Paris Psychiatrie & Neurosciences, Hôpital Sainte Anne, F-75014, Paris, France; Université Paris-Cité, F-75006 Paris, France; Université Paris-Saclay, BioMaps, Service Hospitalier Frédéric Joliot CEA, CNRS, Inserm, F-91401, Orsay, France
| | - Dario Saracino
- Sorbonne Université, INSERM U1127, CNRS 7235, Institut du Cerveau - ICM, Paris, France; AP-HP Sorbonne Université, Pitié-Salpêtrière Hospital, Department of Neurology, Institute of Memory and Alzheimer's Disease, Paris, France
| | - Marie Sarazin
- Department of Neurology of Memory and Language, GHU Paris Psychiatrie & Neurosciences, Hôpital Sainte Anne, F-75014, Paris, France; Université Paris-Cité, F-75006 Paris, France; Université Paris-Saclay, BioMaps, Service Hospitalier Frédéric Joliot CEA, CNRS, Inserm, F-91401, Orsay, France
| | - Mathilde Sauvée
- Centre Mémoire de Ressources et de Recherche, Pôle PReNeLe, CHU Grenoble Alpes CS 10226, 38043 Grenoble Cedex 9, France; Unité de recherche mixte Université Grenoble Alpes/Université Savoie Montblanc, CNRS UMR 5115, Laboratoire de Psychologie et Neurocognition (LPNC), 38000 Grenoble, France
| | - François Sellal
- Department of Neurology, Hôpitaux Civils de Colmar, F-68000 Colmar, France; University of Strasbourg, Medicine Faculty, INSERM, U-1118, Strasbourg, France
| | - Marc Teichmann
- AP-HP Sorbonne Université, Pitié-Salpêtrière Hospital, Department of Neurology, Institute of Memory and Alzheimer's Disease, Paris, France
| | - Christel Thauvin
- Genetics Center, University Hospital of Dijon, University of Burgundy, Dijon, France
| | - Quentin Thomas
- Department of Neurology, University Hospital of Dijon, University of Burgundy, Dijon, France; Genetics Center, University Hospital of Dijon, University of Burgundy, Dijon, France
| | - Camille Tisserand
- Neurology Department, Hôpital Pierre-Paul Riquet, Centre Hospitalier Universitaire de Toulouse, Toulouse, France
| | - Cédric Turpinat
- Service de Neurologie, Hopital Gui de Chauliac, CHU de Montpellier, Montpellier, France
| | - Laurène Van Damme
- Service de Neurologie, Centre Hospitalier Perpignan, Perpignan, France
| | | | - Nicolas Villain
- Sorbonne Université, INSERM U1127, CNRS 7235, Institut du Cerveau - ICM, Paris, France; AP-HP Sorbonne Université, Pitié-Salpêtrière Hospital, Department of Neurology, Institute of Memory and Alzheimer's Disease, Paris, France
| | | | - Camille Charbonnier
- Univ Rouen Normandie, Inserm U1245 and CHU Rouen, Department of Biostatistics and CNRMAJ, F-76000 Rouen, France
| | - David Wallon
- Univ Rouen Normandie, Normandie Univ, Inserm U1245 and CHU Rouen, Department of Neurology and CNRMAJ, F-76000 Rouen, France
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Gaur P, Bryois J, Calini D, Foo L, Hoozemans JJM, Malhotra D, Menon V. Single-nucleus and spatial transcriptomic profiling of human temporal cortex and white matter reveals novel associations with AD pathology. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.04.23.590816. [PMID: 38712204 PMCID: PMC11071354 DOI: 10.1101/2024.04.23.590816] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/08/2024]
Abstract
Alzheimer's disease (AD) is a neurodegenerative disorder with complex pathological manifestations and is the leading cause of cognitive decline and dementia in elderly individuals. A major goal in AD research is to identify new therapeutic pathways by studying the molecular and cellular changes in the disease, either downstream or upstream of the pathological hallmarks. In this study, we present a comprehensive investigation of cellular heterogeneity from the temporal cortex region of 40 individuals, comprising healthy donors and individuals with differing tau and amyloid burden. Using single-nucleus transcriptome analysis of 430,271 nuclei from both gray and white matter of these individuals, we identified cell type-specific subclusters in both neuronal and glial cell types with varying degrees of association with AD pathology. In particular, these associations are present in layer specific glutamatergic (excitatory) neuronal types, along with GABAergic (inhibitory) neurons and glial subtypes. These associations were observed in early as well as late pathological progression. We extended this analysis by performing multiplexed in situ hybridization using the CARTANA platform, capturing 155 genes in 13 individuals with varying levels of tau pathology. By modeling the spatial distribution of these genes and their associations with the pathology, we not only replicated key findings from our snRNA data analysis, but also identified a set of cell type-specific genes that show selective enrichment or depletion near pathological inclusions. Together, our findings allow us to prioritize specific cell types and pathways for targeted interventions at various stages of pathological progression in AD.
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Affiliation(s)
- Pallavi Gaur
- Center for Translational and Computational Neuroimmunology, Department of Neurology, Columbia University Irving Medical Center, NY, USA
| | - Julien Bryois
- Roche Pharma Research and Early Development, Neuroscience and Rare Diseases, Roche Innovation Center, CH-4070, Basel, Switzerland
| | - Daniela Calini
- Roche Pharma Research and Early Development, Neuroscience and Rare Diseases, Roche Innovation Center, CH-4070, Basel, Switzerland
| | - Lynette Foo
- Roche Pharma Research and Early Development, Neuroscience and Rare Diseases, Roche Innovation Center, CH-4070, Basel, Switzerland
| | - Jeroen J M Hoozemans
- Department of Pathology, Amsterdam Neuroscience, Amsterdam UMC, Amsterdam, Netherlands
| | - Dheeraj Malhotra
- Roche Pharma Research and Early Development, Neuroscience and Rare Diseases, Roche Innovation Center, CH-4070, Basel, Switzerland
- MS Research Unit, Biogen, Cambridge, MA, USA
| | - Vilas Menon
- Center for Translational and Computational Neuroimmunology, Department of Neurology, Columbia University Irving Medical Center, NY, USA
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Villa M, Wu J, Hansen S, Pahnke J. Emerging Role of ABC Transporters in Glia Cells in Health and Diseases of the Central Nervous System. Cells 2024; 13:740. [PMID: 38727275 PMCID: PMC11083179 DOI: 10.3390/cells13090740] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2024] [Revised: 04/15/2024] [Accepted: 04/20/2024] [Indexed: 05/13/2024] Open
Abstract
ATP-binding cassette (ABC) transporters play a crucial role for the efflux of a wide range of substrates across different cellular membranes. In the central nervous system (CNS), ABC transporters have recently gathered significant attention due to their pivotal involvement in brain physiology and neurodegenerative disorders, such as Alzheimer's disease (AD). Glial cells are fundamental for normal CNS function and engage with several ABC transporters in different ways. Here, we specifically highlight ABC transporters involved in the maintenance of brain homeostasis and their implications in its metabolic regulation. We also show new aspects related to ABC transporter function found in less recognized diseases, such as Huntington's disease (HD) and experimental autoimmune encephalomyelitis (EAE), as a model for multiple sclerosis (MS). Understanding both their impact on the physiological regulation of the CNS and their roles in brain diseases holds promise for uncovering new therapeutic options. Further investigations and preclinical studies are warranted to elucidate the complex interplay between glial ABC transporters and physiological brain functions, potentially leading to effective therapeutic interventions also for rare CNS disorders.
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Affiliation(s)
- Maria Villa
- Translational Neurodegeneration Research and Neuropathology Lab, Department of Clinical Medicine (KlinMed), Medical Faculty, University of Oslo (UiO) and Section of Neuropathology Research, Department of Pathology (PAT), Clinics for Laboratory Medicine (KLM), Oslo University Hospital (OUS), Sognsvannsveien 20, NO-0372 Oslo, Norway
| | - Jingyun Wu
- Translational Neurodegeneration Research and Neuropathology Lab, Department of Clinical Medicine (KlinMed), Medical Faculty, University of Oslo (UiO) and Section of Neuropathology Research, Department of Pathology (PAT), Clinics for Laboratory Medicine (KLM), Oslo University Hospital (OUS), Sognsvannsveien 20, NO-0372 Oslo, Norway
| | - Stefanie Hansen
- Translational Neurodegeneration Research and Neuropathology Lab, Department of Clinical Medicine (KlinMed), Medical Faculty, University of Oslo (UiO) and Section of Neuropathology Research, Department of Pathology (PAT), Clinics for Laboratory Medicine (KLM), Oslo University Hospital (OUS), Sognsvannsveien 20, NO-0372 Oslo, Norway
| | - Jens Pahnke
- Translational Neurodegeneration Research and Neuropathology Lab, Department of Clinical Medicine (KlinMed), Medical Faculty, University of Oslo (UiO) and Section of Neuropathology Research, Department of Pathology (PAT), Clinics for Laboratory Medicine (KLM), Oslo University Hospital (OUS), Sognsvannsveien 20, NO-0372 Oslo, Norway
- Institute of Nutritional Medicine (INUM)/Lübeck Institute of Dermatology (LIED), University of Lübeck (UzL) and University Medical Center Schleswig-Holstein (UKSH), Ratzeburger Allee 160, D-23538 Lübeck, Germany
- Department of Pharmacology, Faculty of Medicine, University of Latvia (LU), Jelgavas iela 3, LV-1004 Rīga, Latvia
- School of Neurobiology, Biochemistry and Biophysics, The Georg S. Wise Faculty of Life Sciences, Tel Aviv University (TAU), Tel Aviv IL-6997801, Israel
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18
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Luo YX, Yang LL, Yao XQ. Gut microbiota-host lipid crosstalk in Alzheimer's disease: implications for disease progression and therapeutics. Mol Neurodegener 2024; 19:35. [PMID: 38627829 PMCID: PMC11020986 DOI: 10.1186/s13024-024-00720-0] [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: 12/12/2023] [Accepted: 03/18/2024] [Indexed: 04/19/2024] Open
Abstract
Trillions of intestinal bacteria in the human body undergo dynamic transformations in response to physiological and pathological changes. Alterations in their composition and metabolites collectively contribute to the progression of Alzheimer's disease. The role of gut microbiota in Alzheimer's disease is diverse and complex, evidence suggests lipid metabolism may be one of the potential pathways. However, the mechanisms that gut microbiota mediate lipid metabolism in Alzheimer's disease pathology remain unclear, necessitating further investigation for clarification. This review highlights the current understanding of how gut microbiota disrupts lipid metabolism and discusses the implications of these discoveries in guiding strategies for the prevention or treatment of Alzheimer's disease based on existing data.
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Affiliation(s)
- Ya-Xi Luo
- Department of Rehabilitation, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Ling-Ling Yang
- Department of Rehabilitation, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Xiu-Qing Yao
- Department of Rehabilitation, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
- Chongqing Municipality Clinical Research Center for Geriatric Medicine, Chongqing, China.
- Department of Rehabilitation Therapy, Chongqing Medical University, Chongqing, China.
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19
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Nicolas G. Recent advances in Alzheimer disease genetics. Curr Opin Neurol 2024; 37:154-165. [PMID: 38235704 DOI: 10.1097/wco.0000000000001242] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2024]
Abstract
PURPOSE OF REVIEW Genetics studies provide important insights into Alzheimer disease (AD) etiology and mechanisms. Critical advances have been made recently, mainly thanks to the access to novel techniques and larger studies. RECENT FINDINGS In monogenic AD, progress has been made with a better understanding of the mechanisms associated with pathogenic variants and the input of clinical studies in presymptomatic individuals. In complex AD, increasing sample sizes in both DNA chip-based (genome-wide association studies, GWAS) and exome/genome sequencing case-control studies unveiled novel common and rare risk factors, while the understanding of their combined effect starts to suggest the existence of rare families with oligogenic inheritance of early-onset, nonmonogenic, AD. SUMMARY Most genetic risk factors with a known consequence designate the aggregation of the Aβ peptide as a core etiological factor in complex AD thus confirming that the research based on monogenic AD - where the amyloid cascade seems more straightforward - is relevant to complex AD as well. Novel mechanistic insights and risk factor studies unveiling novel factors and attempting to combine the effect of common and rare variants will offer promising perspectives for future AD prevention, at least regarding early-onset AD, and probably in case of later onset as well.
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Affiliation(s)
- Gaël Nicolas
- Univ Rouen Normandie, Normandie Univ, Inserm U1245 and CHU Rouen, Department of Genetics and CNRMAJ, F-76000 Rouen, France
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20
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Lok HC, Halliday GM, Kim WS. ATP-binding cassette transporters as possible targets for the intervention of neurodegenerative diseases. Neural Regen Res 2024; 19:721-722. [PMID: 37843202 PMCID: PMC10664130 DOI: 10.4103/1673-5374.382239] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Revised: 06/25/2023] [Accepted: 07/07/2023] [Indexed: 10/17/2023] Open
Affiliation(s)
- Hiu Chuen Lok
- Brain and Mind Centre & School of Medical Sciences, The University of Sydney, Sydney, NSW, Australia
| | - Glenda M. Halliday
- Brain and Mind Centre & School of Medical Sciences, The University of Sydney, Sydney, NSW, Australia
| | - Woojin Scott Kim
- Brain and Mind Centre & School of Medical Sciences, The University of Sydney, Sydney, NSW, Australia
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21
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Mušálková D, Přistoupilová A, Jedličková I, Hartmannová H, Trešlová H, Nosková L, Hodaňová K, Bittmanová P, Stránecký V, Jiřička V, Langmajerová M, Woodbury‐Smith M, Zarrei M, Trost B, Scherer SW, Bleyer AJ, Vevera J, Kmoch S. Increased burden of rare protein-truncating variants in constrained, brain-specific and synaptic genes in extremely impulsively violent males with antisocial personality disorder. GENES, BRAIN, AND BEHAVIOR 2024; 23:e12882. [PMID: 38359179 PMCID: PMC10869132 DOI: 10.1111/gbb.12882] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Revised: 12/11/2023] [Accepted: 01/03/2024] [Indexed: 02/17/2024]
Abstract
The genetic correlates of extreme impulsive violence are poorly understood, and there have been few studies that have characterized a large group of affected individuals both clinically and genetically. We performed whole exome sequencing (WES) in 290 males with the life-course-persistent, extremely impulsively violent form of antisocial personality disorder (APD) and analyzed the spectrum of rare protein-truncating variants (rPTVs). Comparisons were made with 314 male controls and publicly available genotype data. Functional annotation tools were used for biological interpretation. Participants were significantly more likely to harbor rPTVs in genes that are intolerant to loss-of-function variants (odds ratio [OR] 2.06; p < 0.001), specifically expressed in brain (OR 2.80; p = 0.036) and enriched for those involved in neurotransmitter transport and synaptic processes. In 60 individuals (20%), we identified rPTVs that we classified as clinically relevant based on their clinical associations, biological function and gene expression patterns. Of these, 37 individuals harbored rPTVs in 23 genes that are associated with a monogenic neurological disorder, and 23 individuals harbored rPTVs in 20 genes reportedly intolerant to loss-of-function variants. The analysis presents evidence in support of a model where presence of either one or several private, functionally relevant mutations contribute significantly to individual risk of life-course-persistent APD and reveals multiple individuals who could be affected by clinically unrecognized neuropsychiatric Mendelian disease. Thus, Mendelian diseases and increased rPTV burden may represent important factors for the development of extremely impulsive violent life-course-persistent forms of APD irrespective of their clinical presentation.
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Affiliation(s)
- Dita Mušálková
- Research Unit for Rare Diseases, Department of Pediatrics and Inherited Metabolic Disorders, First Faculty of MedicineCharles University in Prague and General University Hospital in PraguePragueCzech Republic
| | - Anna Přistoupilová
- Research Unit for Rare Diseases, Department of Pediatrics and Inherited Metabolic Disorders, First Faculty of MedicineCharles University in Prague and General University Hospital in PraguePragueCzech Republic
| | - Ivana Jedličková
- Research Unit for Rare Diseases, Department of Pediatrics and Inherited Metabolic Disorders, First Faculty of MedicineCharles University in Prague and General University Hospital in PraguePragueCzech Republic
| | - Hana Hartmannová
- Research Unit for Rare Diseases, Department of Pediatrics and Inherited Metabolic Disorders, First Faculty of MedicineCharles University in Prague and General University Hospital in PraguePragueCzech Republic
| | - Helena Trešlová
- Research Unit for Rare Diseases, Department of Pediatrics and Inherited Metabolic Disorders, First Faculty of MedicineCharles University in Prague and General University Hospital in PraguePragueCzech Republic
| | - Lenka Nosková
- Research Unit for Rare Diseases, Department of Pediatrics and Inherited Metabolic Disorders, First Faculty of MedicineCharles University in Prague and General University Hospital in PraguePragueCzech Republic
| | - Kateřina Hodaňová
- Research Unit for Rare Diseases, Department of Pediatrics and Inherited Metabolic Disorders, First Faculty of MedicineCharles University in Prague and General University Hospital in PraguePragueCzech Republic
| | - Petra Bittmanová
- Research Unit for Rare Diseases, Department of Pediatrics and Inherited Metabolic Disorders, First Faculty of MedicineCharles University in Prague and General University Hospital in PraguePragueCzech Republic
| | - Viktor Stránecký
- Research Unit for Rare Diseases, Department of Pediatrics and Inherited Metabolic Disorders, First Faculty of MedicineCharles University in Prague and General University Hospital in PraguePragueCzech Republic
| | - Václav Jiřička
- Department of PsychologyPrison Service of the Czech RepublicPragueCzech Republic
- Department of Psychiatry, Faculty of Medicine in PilsenCharles UniversityPilsenCzech Republic
| | - Michaela Langmajerová
- Department of Psychiatry, Faculty of Medicine in PilsenCharles UniversityPilsenCzech Republic
| | - Marc Woodbury‐Smith
- The Centre for Applied Genomics and Program in Genetics and Genome Biology, The Hospital for Sick ChildrenTorontoOntarioCanada
- Faculty of Medical Sciences, Biosciences InstituteNewcastle UniversityNewcastle upon TyneUK
| | - Mehdi Zarrei
- The Centre for Applied Genomics and Program in Genetics and Genome Biology, The Hospital for Sick ChildrenTorontoOntarioCanada
| | - Brett Trost
- The Centre for Applied Genomics and Program in Genetics and Genome Biology, The Hospital for Sick ChildrenTorontoOntarioCanada
| | - Stephen W. Scherer
- The Centre for Applied Genomics and Program in Genetics and Genome Biology, The Hospital for Sick ChildrenTorontoOntarioCanada
- Department of Molecular Genetics and McLaughlin CentreUniversity of TorontoTorontoOntarioCanada
| | - Anthony J. Bleyer
- Research Unit for Rare Diseases, Department of Pediatrics and Inherited Metabolic Disorders, First Faculty of MedicineCharles University in Prague and General University Hospital in PraguePragueCzech Republic
- Section on Nephrology, Wake Forest School of MedicineWinston‐SalemNorth CarolinaUSA
| | - Jan Vevera
- Department of Psychiatry, Faculty of Medicine in PilsenCharles UniversityPilsenCzech Republic
- Department of PsychiatryUniversity Hospital PilsenPilsenCzech Republic
| | - Stanislav Kmoch
- Research Unit for Rare Diseases, Department of Pediatrics and Inherited Metabolic Disorders, First Faculty of MedicineCharles University in Prague and General University Hospital in PraguePragueCzech Republic
- Department of Psychiatry, Faculty of Medicine in PilsenCharles UniversityPilsenCzech Republic
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22
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Tayran H, Yilmaz E, Bhattarai P, Min Y, Wang X, Ma Y, Nelson N, Kassara N, Cosacak MI, Dogru RM, Reyes-Dumeyer D, Reddy JS, Qiao M, Flaherty D, Teich AF, Gunasekaran TI, Yang Z, Tosto G, Vardarajan BN, İş Ö, Ertekin-Taner N, Mayeux R, Kizil C. ABCA7-dependent Neuropeptide-Y signalling is a resilience mechanism required for synaptic integrity in Alzheimer's disease. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.01.02.573893. [PMID: 38260408 PMCID: PMC10802315 DOI: 10.1101/2024.01.02.573893] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/24/2024]
Abstract
Alzheimer's disease (AD) remains a complex challenge characterized by cognitive decline and memory loss. Genetic variations have emerged as crucial players in the etiology of AD, enabling hope for a better understanding of the disease mechanisms; yet the specific mechanism of action for those genetic variants remain uncertain. Animal models with reminiscent disease pathology could uncover previously uncharacterized roles of these genes. Using CRISPR/Cas9 gene editing, we generated a knockout model for abca7, orthologous to human ABCA7 - an established AD-risk gene. The abca7 +/- zebrafish showed reduced astroglial proliferation, synaptic density, and microglial abundance in response to amyloid beta 42 (Aβ42). Single-cell transcriptomics revealed abca7 -dependent neuronal and glial cellular crosstalk through neuropeptide Y (NPY) signaling. The abca7 knockout reduced the expression of npy, bdnf and ngfra , which are required for synaptic integrity and astroglial proliferation. With clinical data in humans, we showed reduced NPY in AD correlates with elevated Braak stage, predicted regulatory interaction between NPY and BDNF , identified genetic variants in NPY associated with AD, found segregation of variants in ABCA7, BDNF and NGFR in AD families, and discovered epigenetic changes in the promoter regions of NPY, NGFR and BDNF in humans with specific single nucleotide polymorphisms in ABCA7 . These results suggest that ABCA7-dependent NPY signaling is required for synaptic integrity, the impairment of which generates a risk factor for AD through compromised brain resilience. Abstract Figure
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23
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Kavoosi S, Shahraki A, Sheervalilou R. Identification of microRNA-mRNA Regulatory Networks with Therapeutic Values in Alzheimer's Disease by Bioinformatics Analysis. J Alzheimers Dis 2024; 98:671-689. [PMID: 38427479 DOI: 10.3233/jad-230966] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/03/2024]
Abstract
Background Alzheimer's disease (AD) is the most prevalent neurological disorder worldwide, affecting approximately 24 million individuals. Despite more than a century of research on AD, its pathophysiology is still not fully understood. Objective Recently, genetic studies of AD have focused on analyzing the general expression profile by employing high-throughput genomic techniques such as microarrays. Current research has leveraged bioinformatics advancements in genetic science to build upon previous efforts. Methods Data from the GSE118553 dataset used in this investigation, and the analyses carried out using programs such as Limma and BioBase. Differentially expressed genes (DEGs) and differentially expressed microRNAs (DEmiRs) associated with AD identified in the studied areas of the brain. Target genes of the DEmiRs identified using the MultiMiR package. Gene ontology (GO) completed using the Enrichr website, and the protein-protein interaction (PPI) network for these genes drawn using STRING and Cytoscape software. Results The findings introduced DEGs including CTNNB1, PAK2, MAP2K1, PNPLA6, IGF1R, FOXL2, DKK3, LAMA4, PABPN1, and GDPD5, and DEmiRs linked to AD (miR-106A, miR-1826, miR-1253, miR-10B, miR-18B, miR-101-2, miR-761, miR-199A1, miR-379 and miR-668), (miR-720, miR-218-2, miR-25, miR-602, miR-1226, miR-548K, miR-H1, miR-410, miR-548F2, miR-181A2), (miR-1470, miR-651, miR-544, miR-1826, miR-195, miR-610, miR-599, miR-323, miR-587 and miR-340), and (miR-1282, miR-1914, miR-642, miR-1323, miR-373, miR-323, miR-1322, miR-612, miR-606 and miR-758) in cerebellum, frontal cortex, temporal cortex, and entorhinal cortex, respectively. Conclusions The majority of the genes and miRNAs identified by our findings may be employed as biomarkers for prediction, diagnosis, or therapy response monitoring.
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Affiliation(s)
- Sakine Kavoosi
- Department of Biology, Faculty of Science, University of Sistan and Baluchestan, Zahedan, Iran
| | - Ali Shahraki
- Department of Biology, Faculty of Science, University of Sistan and Baluchestan, Zahedan, Iran
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24
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Sudwarts A, Thinakaran G. Alzheimer's genes in microglia: a risk worth investigating. Mol Neurodegener 2023; 18:90. [PMID: 37986179 PMCID: PMC10662636 DOI: 10.1186/s13024-023-00679-4] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2023] [Accepted: 11/07/2023] [Indexed: 11/22/2023] Open
Abstract
Despite expressing many key risk genes, the role of microglia in late-onset Alzheimer's disease pathophysiology is somewhat ambiguous, with various phenotypes reported to be either harmful or protective. Herein, we review some key findings from clinical and animal model investigations, discussing the role of microglial genetics in mediating perturbations from homeostasis. We note that impairment to protective phenotypes may include prolonged or insufficient microglial activation, resulting in dysregulated metabolomic (notably lipid-related) processes, compounded by age-related inflexibility in dynamic responses. Insufficiencies of mouse genetics and aggressive transgenic modelling imply severe limitations in applying current methodologies for aetiological investigations. Despite the shortcomings, widely used amyloidosis and tauopathy models of the disease have proven invaluable in dissecting microglial functional responses to AD pathophysiology. Some recent advances have brought modelling tools closer to human genetics, increasing the validity of both aetiological and translational endeavours.
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Affiliation(s)
- Ari Sudwarts
- Byrd Alzheimer's Center and Research Institute, University of South Florida, Tampa, FL, 33613, USA.
- Department of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, FL, 33612, USA.
| | - Gopal Thinakaran
- Byrd Alzheimer's Center and Research Institute, University of South Florida, Tampa, FL, 33613, USA.
- Department of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, FL, 33612, USA.
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Jiang Y, MacNeil LT. Simple model systems reveal conserved mechanisms of Alzheimer's disease and related tauopathies. Mol Neurodegener 2023; 18:82. [PMID: 37950311 PMCID: PMC10638731 DOI: 10.1186/s13024-023-00664-x] [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: 04/02/2023] [Accepted: 10/04/2023] [Indexed: 11/12/2023] Open
Abstract
The lack of effective therapies that slow the progression of Alzheimer's disease (AD) and related tauopathies highlights the need for a more comprehensive understanding of the fundamental cellular mechanisms underlying these diseases. Model organisms, including yeast, worms, and flies, provide simple systems with which to investigate the mechanisms of disease. The evolutionary conservation of cellular pathways regulating proteostasis and stress response in these organisms facilitates the study of genetic factors that contribute to, or protect against, neurodegeneration. Here, we review genetic modifiers of neurodegeneration and related cellular pathways identified in the budding yeast Saccharomyces cerevisiae, the nematode Caenorhabditis elegans, and the fruit fly Drosophila melanogaster, focusing on models of AD and related tauopathies. We further address the potential of simple model systems to better understand the fundamental mechanisms that lead to AD and other neurodegenerative disorders.
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Affiliation(s)
- Yuwei Jiang
- Department of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, Canada
| | - Lesley T MacNeil
- Department of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, Canada.
- Farncombe Family Digestive Health Research Institute, McMaster University, Hamilton, Canada.
- Michael G. DeGroote Institute for Infectious Disease Research, McMaster University, 1280 Main St W, Hamilton, ON, L8S 4K1, Canada.
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26
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Duchateau L, Küҫükali F, De Roeck A, Wittens MMJ, Temmerman J, Weets I, Timmers M, Engelborghs S, Bjerke M, Sleegers K. CSF biomarker analysis of ABCA7 mutation carriers suggests altered APP processing and reduced inflammatory response. Alzheimers Res Ther 2023; 15:195. [PMID: 37946268 PMCID: PMC10634183 DOI: 10.1186/s13195-023-01338-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: 08/11/2023] [Accepted: 10/24/2023] [Indexed: 11/12/2023]
Abstract
BACKGROUND The Alzheimer's disease (AD) risk gene ABCA7 has suggested functions in lipid metabolism and the immune system. Rare premature termination codon (PTC) mutations and an expansion of a variable number of tandem repeats (VNTR) polymorphism in the gene, both likely cause a lower ABCA7 expression and hereby increased risk for AD. However, the exact mechanism of action remains unclear. By studying CSF biomarkers reflecting different types of AD-related pathological processes, we aim to get a better insight in those processes and establish a biomarker profile of mutation carriers. METHODS The study population consisted of 229 AD patients for whom CSF was available and ABCA7 sequencing and VNTR genotyping had been performed. This included 28 PTC mutation and 16 pathogenic expansion carriers. CSF levels of Aβ1-42, Aβ1-40, P-tau181, T-tau, sAPPα, sAPPβ, YKL-40, and hFABP were determined using ELISA and Meso Scale Discovery assays. We compared differences in levels of these biomarkers and the Aβ ratio between AD patients with or without an ABCA7 PTC mutation or expansion using linear regression on INT-transformed data with APOE-status, age and sex as covariates. RESULTS Carriers of ABCA7 expansion mutations had significantly lower Aβ1-42 levels (P = 0.022) compared with non-carrier patients. The effect of the presence of ABCA7 mutations on CSF levels was especially pronounced in APOE ε4-negative carriers. In addition, VNTR expansion carriers had reduced Aβ1-40 (P = 0.023), sAPPα (P = 0.047), sAPPβ (P = 0.016), and YKL-40 (P = 0.0036) levels. CONCLUSIONS Our results are suggestive for an effect on APP processing by repeat expansions given the changes in the amyloid-related CSF biomarkers that were found in carriers. The decrease in YKL-40 levels in expansion carriers moreover suggests that these patients potentially have a reduced inflammatory response to AD damage. Moreover, our findings suggest the existence of a mechanism, independent of lowered expression, affecting neuropathology in expansion carriers.
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Affiliation(s)
- Lena Duchateau
- Complex Genetics of Alzheimer's Disease Group, VIB-UAntwerp Center for Molecular Neurology, VIB, Building V, Universiteitsplein 1, Wilrijk, Antwerp, B-2610, Belgium
- Department of Biomedical Sciences, University of Antwerp, Universiteitsplein 1, Wilrijk, Antwerp, 2610, Belgium
| | - Fahri Küҫükali
- Complex Genetics of Alzheimer's Disease Group, VIB-UAntwerp Center for Molecular Neurology, VIB, Building V, Universiteitsplein 1, Wilrijk, Antwerp, B-2610, Belgium
- Department of Biomedical Sciences, University of Antwerp, Universiteitsplein 1, Wilrijk, Antwerp, 2610, Belgium
| | - Arne De Roeck
- Complex Genetics of Alzheimer's Disease Group, VIB-UAntwerp Center for Molecular Neurology, VIB, Building V, Universiteitsplein 1, Wilrijk, Antwerp, B-2610, Belgium
- Department of Biomedical Sciences, University of Antwerp, Universiteitsplein 1, Wilrijk, Antwerp, 2610, Belgium
- Present Address: Argenx, Ghent, Belgium
| | - Mandy M J Wittens
- Department of Biomedical Sciences, University of Antwerp, Universiteitsplein 1, Wilrijk, Antwerp, 2610, Belgium
- Clinical Neurochemistry Laboratory, Department of Clinical Biology, University Hospital Brussels, Generaal Jacqueslaan 137, Elsene, Brussels, 1050, Belgium
| | - Joke Temmerman
- Department of Biomedical Sciences, University of Antwerp, Universiteitsplein 1, Wilrijk, Antwerp, 2610, Belgium
- Neuroprotection & Neuromodulation (NEUR) Research Group, Center for Neurosciences (C4N), Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, Jette, Brussels, 1090, Belgium
| | - Ilse Weets
- Clinical Neurochemistry Laboratory, Department of Clinical Biology, University Hospital Brussels, Generaal Jacqueslaan 137, Elsene, Brussels, 1050, Belgium
- Experimental Pharmacology (EFAR) Research Group, Center for Neurosciences (C4N), Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, Brussels, 1090, Belgium
| | - Maarten Timmers
- Reference Center for Biological Markers of Dementia, Department of Biomedical Sciences, University of Antwerp, Universiteitsplein 1, Wilrijk, Antwerp, 2610, Belgium
- Janssen Research and Development, a Division of Janssen Pharmaceutica NV, Turnhoutseweg 30, Beerse, 2340, Belgium
| | - Sebastiaan Engelborghs
- Neuroprotection & Neuromodulation (NEUR) Research Group, Center for Neurosciences (C4N), Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, Jette, Brussels, 1090, Belgium
- Reference Center for Biological Markers of Dementia, Department of Biomedical Sciences, University of Antwerp, Universiteitsplein 1, Wilrijk, Antwerp, 2610, Belgium
- Department of Neurology and Bru-BRAIN, University Hospital Brussels, Generaal Jacqueslaan 137, Elsene, Brussels, 1050, Belgium
| | - Maria Bjerke
- Department of Biomedical Sciences, University of Antwerp, Universiteitsplein 1, Wilrijk, Antwerp, 2610, Belgium
- Clinical Neurochemistry Laboratory, Department of Clinical Biology, University Hospital Brussels, Generaal Jacqueslaan 137, Elsene, Brussels, 1050, Belgium
- Neuroprotection & Neuromodulation (NEUR) Research Group, Center for Neurosciences (C4N), Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, Jette, Brussels, 1090, Belgium
| | - Kristel Sleegers
- Complex Genetics of Alzheimer's Disease Group, VIB-UAntwerp Center for Molecular Neurology, VIB, Building V, Universiteitsplein 1, Wilrijk, Antwerp, B-2610, Belgium.
- Department of Biomedical Sciences, University of Antwerp, Universiteitsplein 1, Wilrijk, Antwerp, 2610, Belgium.
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Franco A, Li J, Kelly DP, Hershberger RE, Marian AJ, Lewis RM, Song M, Dang X, Schmidt AD, Mathyer ME, Edwards JR, Strong CDG, Dorn GW. A human mitofusin 2 mutation can cause mitophagic cardiomyopathy. eLife 2023; 12:e84235. [PMID: 37910431 PMCID: PMC10619978 DOI: 10.7554/elife.84235] [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: 10/16/2022] [Accepted: 09/26/2023] [Indexed: 11/03/2023] Open
Abstract
Cardiac muscle has the highest mitochondrial density of any human tissue, but mitochondrial dysfunction is not a recognized cause of isolated cardiomyopathy. Here, we determined that the rare mitofusin (MFN) 2 R400Q mutation is 15-20× over-represented in clinical cardiomyopathy, whereas this specific mutation is not reported as a cause of MFN2 mutant-induced peripheral neuropathy, Charcot-Marie-Tooth disease type 2A (CMT2A). Accordingly, we interrogated the enzymatic, biophysical, and functional characteristics of MFN2 Q400 versus wild-type and CMT2A-causing MFN2 mutants. All MFN2 mutants had impaired mitochondrial fusion, the canonical MFN2 function. Compared to MFN2 T105M that lacked catalytic GTPase activity and exhibited normal activation-induced changes in conformation, MFN2 R400Q and M376A had normal GTPase activity with impaired conformational shifting. MFN2 R400Q did not suppress mitochondrial motility, provoke mitochondrial depolarization, or dominantly suppress mitochondrial respiration like MFN2 T105M. By contrast to MFN2 T105M and M376A, MFN2 R400Q was uniquely defective in recruiting Parkin to mitochondria. CRISPR editing of the R400Q mutation into the mouse Mfn2 gene induced perinatal cardiomyopathy with no other organ involvement; knock-in of Mfn2 T105M or M376V did not affect the heart. RNA sequencing and metabolomics of cardiomyopathic Mfn2 Q/Q400 hearts revealed signature abnormalities recapitulating experimental mitophagic cardiomyopathy. Indeed, cultured cardiomyoblasts and in vivo cardiomyocytes expressing MFN2 Q400 had mitophagy defects with increased sensitivity to doxorubicin. MFN2 R400Q is the first known natural mitophagy-defective MFN2 mutant. Its unique profile of dysfunction evokes mitophagic cardiomyopathy, suggesting a mechanism for enrichment in clinical cardiomyopathy.
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Affiliation(s)
- Antonietta Franco
- Department of Internal Medicine, Pharmacogenomics, Washington University School of MedicineSt LouisUnited States
| | - Jiajia Li
- Department of Internal Medicine, Pharmacogenomics, Washington University School of MedicineSt LouisUnited States
| | - Daniel P Kelly
- Department of Medicine, Cardiovascular Institute, Perelman School of Medicine, University of PennsylvaniaPhiladelphiaUnited States
| | - Ray E Hershberger
- Department of Internal Medicine, Divisions of Human Genetics and Cardiovascular Medicine, Ohio State UniversityColumbusUnited States
| | - Ali J Marian
- Center for Cardiovascular Genetic Research, University of Texas Health Science Center at HoustonHoustonUnited States
| | - Renate M Lewis
- Department of Neurology, Washington University School of MedicineSt. LouisUnited States
| | - Moshi Song
- Department of Internal Medicine, Pharmacogenomics, Washington University School of MedicineSt LouisUnited States
| | - Xiawei Dang
- Department of Internal Medicine, Pharmacogenomics, Washington University School of MedicineSt LouisUnited States
| | - Alina D Schmidt
- Department of Internal Medicine (Dermatology), Washington University School of MedicineSt. LouisUnited States
| | - Mary E Mathyer
- Department of Internal Medicine (Dermatology), Washington University School of MedicineSt. LouisUnited States
| | - John R Edwards
- Department of Internal Medicine, Pharmacogenomics, Washington University School of MedicineSt LouisUnited States
| | - Cristina de Guzman Strong
- Department of Internal Medicine (Dermatology), Washington University School of MedicineSt. LouisUnited States
| | - Gerald W Dorn
- Department of Internal Medicine, Pharmacogenomics, Washington University School of MedicineSt LouisUnited States
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28
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Cao Y, Liu H, Lu SS, Jones KA, Govind AP, Jeyifous O, Simmons CQ, Tabatabaei N, Green WN, Holder JL, Tahmasebi S, George AL, Dickinson BC. RNA-based translation activators for targeted gene upregulation. Nat Commun 2023; 14:6827. [PMID: 37884512 PMCID: PMC10603104 DOI: 10.1038/s41467-023-42252-z] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Accepted: 10/04/2023] [Indexed: 10/28/2023] Open
Abstract
Technologies capable of programmable translation activation offer strategies to develop therapeutics for diseases caused by insufficient gene expression. Here, we present "translation-activating RNAs" (taRNAs), a bifunctional RNA-based molecular technology that binds to a specific mRNA of interest and directly upregulates its translation. taRNAs are constructed from a variety of viral or mammalian RNA internal ribosome entry sites (IRESs) and upregulate translation for a suite of target mRNAs. We minimize the taRNA scaffold to 94 nucleotides, identify two translation initiation factor proteins responsible for taRNA activity, and validate the technology by amplifying SYNGAP1 expression, a haploinsufficiency disease target, in patient-derived cells. Finally, taRNAs are suitable for delivery as RNA molecules by lipid nanoparticles (LNPs) to cell lines, primary neurons, and mouse liver in vivo. taRNAs provide a general and compact nucleic acid-based technology to upregulate protein production from endogenous mRNAs, and may open up possibilities for therapeutic RNA research.
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Affiliation(s)
- Yang Cao
- Department of Chemistry, The University of Chicago, Chicago, IL, USA
| | - Huachun Liu
- Department of Chemistry, The University of Chicago, Chicago, IL, USA
| | - Shannon S Lu
- Department of Chemistry, The University of Chicago, Chicago, IL, USA
| | - Krysten A Jones
- Department of Chemistry, The University of Chicago, Chicago, IL, USA
| | - Anitha P Govind
- Department of Neurobiology, The University of Chicago, Chicago, IL, USA
| | - Okunola Jeyifous
- Department of Neurobiology, The University of Chicago, Chicago, IL, USA
| | - Christine Q Simmons
- Department of Pharmacology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Negar Tabatabaei
- Department of Pharmacology and Regenerative Medicine, University of Illinois College of Medicine, Chicago, IL, USA
| | - William N Green
- Department of Neurobiology, The University of Chicago, Chicago, IL, USA
| | - Jimmy L Holder
- Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA
- Jan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX, USA
| | - Soroush Tahmasebi
- Department of Pharmacology and Regenerative Medicine, University of Illinois College of Medicine, Chicago, IL, USA
| | - Alfred L George
- Department of Pharmacology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Bryan C Dickinson
- Department of Chemistry, The University of Chicago, Chicago, IL, USA.
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29
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Lee WP, Wang H, Dombroski B, Cheng PL, Tucci A, Si YQ, Farrell J, Tzeng JY, Leung YY, Malamon J, Wang LS, Vardarajan B, Farrer L, Schellenberg G. Structural Variation Detection and Association Analysis of Whole-Genome-Sequence Data from 16,905 Alzheimer's Diseases Sequencing Project Subjects. RESEARCH SQUARE 2023:rs.3.rs-3353179. [PMID: 37886469 PMCID: PMC10602095 DOI: 10.21203/rs.3.rs-3353179/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/28/2023]
Abstract
Structural variations (SVs) are important contributors to the genetics of human diseases. However, their role in Alzheimer's disease (AD) remains largely unstudied due to challenges in accurately detecting SVs. We analyzed whole-genome sequencing data from the Alzheimer's Disease Sequencing Project (N = 16,905) and identified 400,234 (168,223 high-quality) SVs. Laboratory validation yielded a sensitivity of 82% (85% for high-quality). We found a significant burden of deletions and duplications in AD cases, particularly for singletons and homozygous events. On AD genes, we observed the ultra-rare SVs associated with the disease, including protein-altering SVs in ABCA7, APP, PLCG2, and SORL1. Twenty-one SVs are in linkage disequilibrium (LD) with known AD-risk variants, exemplified by a 5k deletion in complete LD with rs143080277 in NCK2. We also identified 16 SVs associated with AD and 13 SVs linked to AD-related pathological/cognitive endophenotypes. This study highlights the pivotal role of SVs in shaping our understanding of AD genetics.
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30
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Mantyh WG, Cochran JN, Taylor JW, Broce IJ, Geier EG, Bonham LW, Anderson AG, Sirkis DW, Joie RL, Iaccarino L, Chaudhary K, Edwards L, Strom A, Grant H, Allen IE, Miller ZA, Gorno‐Tempini ML, Kramer JH, Miller BL, Desikan RS, Rabinovici GD, Yokoyama JS. Early-onset Alzheimer's disease explained by polygenic risk of late-onset disease? ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2023; 15:e12482. [PMID: 37780862 PMCID: PMC10535074 DOI: 10.1002/dad2.12482] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Revised: 08/28/2023] [Accepted: 09/01/2023] [Indexed: 10/03/2023]
Abstract
Early-onset Alzheimer's disease (AD) is highly heritable, yet only 10% of cases are associated with known pathogenic mutations. For early-onset AD patients without an identified autosomal dominant cause, we hypothesized that their early-onset disease reflects further enrichment of the common risk-conferring single nucleotide polymorphisms associated with late-onset AD. We applied a previously validated polygenic hazard score for late-onset AD to 193 consecutive patients diagnosed at our tertiary dementia referral center with symptomatic early-onset AD. For comparison, we included 179 participants with late-onset AD and 70 healthy controls. Polygenic hazard scores were similar in early- versus late-onset AD. The polygenic hazard score was not associated with age-of-onset or disease biomarkers within early-onset AD. Early-onset AD does not represent an extreme enrichment of the common single nucleotide polymorphisms associated with late-onset AD. Further exploration of novel genetic risk factors of this highly heritable disease is warranted.Highlights: There is a unique genetic architecture of early- versus late-onset Alzheimer's disease (AD).Late-onset AD polygenic risk is not an explanation for early-onset AD.Polygenic risk of late-onset AD does not predict early-onset AD biology.Unique genetic architecture of early- versus late-onset AD parallels AD heterogeneity.
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Affiliation(s)
- William G. Mantyh
- Department of NeurologyUniversity of MinnesotaMinneapolisMinnesotaUSA
| | | | | | - Iris J. Broce
- Memory and Aging CenterDepartment of NeurologyUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Ethan G. Geier
- Memory and Aging CenterDepartment of NeurologyUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Luke W. Bonham
- Memory and Aging CenterDepartment of NeurologyUniversity of California San FranciscoSan FranciscoCaliforniaUSA
- Department of Radiology and Biomedical ImagingUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | | | - Daniel W. Sirkis
- Memory and Aging CenterDepartment of NeurologyUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Renaud La Joie
- Memory and Aging CenterDepartment of NeurologyUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Leonardo Iaccarino
- Memory and Aging CenterDepartment of NeurologyUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Kiran Chaudhary
- Memory and Aging CenterDepartment of NeurologyUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Lauren Edwards
- Memory and Aging CenterDepartment of NeurologyUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Amelia Strom
- Memory and Aging CenterDepartment of NeurologyUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Harli Grant
- Memory and Aging CenterDepartment of NeurologyUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Isabel E. Allen
- Department of Epidemiology and BiostatisticsUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Zachary A. Miller
- Memory and Aging CenterDepartment of NeurologyUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Marilu L. Gorno‐Tempini
- Memory and Aging CenterDepartment of NeurologyUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Joel H. Kramer
- Memory and Aging CenterDepartment of NeurologyUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Bruce L. Miller
- Memory and Aging CenterDepartment of NeurologyUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Rahul S. Desikan
- Memory and Aging CenterDepartment of NeurologyUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Gil D. Rabinovici
- Memory and Aging CenterDepartment of NeurologyUniversity of California San FranciscoSan FranciscoCaliforniaUSA
- Department of Radiology and Biomedical ImagingUniversity of California San FranciscoSan FranciscoCaliforniaUSA
- Life Sciences DivisionLawrence Berkeley National LaboratoryBerkeleyCaliforniaUSA
| | - Jennifer S. Yokoyama
- Memory and Aging CenterDepartment of NeurologyUniversity of California San FranciscoSan FranciscoCaliforniaUSA
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31
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Wang H, Dombroski BA, Cheng PL, Tucci A, Si YQ, Farrell JJ, Tzeng JY, Leung YY, Malamon JS, Wang LS, Vardarajan BN, Farrer LA, Schellenberg GD, Lee WP. Structural Variation Detection and Association Analysis of Whole-Genome-Sequence Data from 16,905 Alzheimer's Diseases Sequencing Project Subjects. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.09.13.23295505. [PMID: 37745545 PMCID: PMC10516060 DOI: 10.1101/2023.09.13.23295505] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/26/2023]
Abstract
Structural variations (SVs) are important contributors to the genetics of numerous human diseases. However, their role in Alzheimer's disease (AD) remains largely unstudied due to challenges in accurately detecting SVs. Here, we analyzed whole-genome sequencing data from the Alzheimer's Disease Sequencing Project (ADSP, N=16,905 subjects) and identified 400,234 (168,223 high-quality) SVs. We found a significant burden of deletions and duplications in AD cases (OR=1.05, P=0.03), particularly for singletons (OR=1.12, P=0.0002) and homozygous events (OR=1.10, P<0.0004). On AD genes, the ultra-rare SVs, including protein-altering SVs in ABCA7, APP, PLCG2, and SORL1, were associated with AD (SKAT-O P=0.004). Twenty-one SVs are in linkage disequilibrium (LD) with known AD-risk variants, e.g., a deletion (chr2:105731359-105736864) in complete LD (R2=0.99) with rs143080277 (chr2:105749599) in NCK2. We also identified 16 SVs associated with AD and 13 SVs associated with AD-related pathological/cognitive endophenotypes. Our findings demonstrate the broad impact of SVs on AD genetics.
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Affiliation(s)
- Hui Wang
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, PA 19104, USA
- Penn Neurodegeneration Genomics Center, Perelman School of Medicine, University of Pennsylvania, PA 19104, USA
| | - Beth A Dombroski
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, PA 19104, USA
- Penn Neurodegeneration Genomics Center, Perelman School of Medicine, University of Pennsylvania, PA 19104, USA
| | - Po-Liang Cheng
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, PA 19104, USA
- Penn Neurodegeneration Genomics Center, Perelman School of Medicine, University of Pennsylvania, PA 19104, USA
| | - Albert Tucci
- Bioinformatics Research Center, North Carolina State University, NC 27695, USA
| | - Ya-Qin Si
- Bioinformatics Research Center, North Carolina State University, NC 27695, USA
| | - John J Farrell
- Department of Medicine (Biomedical Genetics), Boston University School of Medicine, MA 02118, USA
| | - Jung-Ying Tzeng
- Bioinformatics Research Center, North Carolina State University, NC 27695, USA
| | - Yuk Yee Leung
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, PA 19104, USA
- Penn Neurodegeneration Genomics Center, Perelman School of Medicine, University of Pennsylvania, PA 19104, USA
| | - John S Malamon
- Department of Surgery, Scholl of Medicine, University of Colorado, CO 80045, USA
| | - Li-San Wang
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, PA 19104, USA
- Penn Neurodegeneration Genomics Center, Perelman School of Medicine, University of Pennsylvania, PA 19104, USA
| | - Badri N Vardarajan
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University, NY 10032, USA
- Department of Neurology, College of Physicians and Surgeons, Columbia University and the New York Presbyterian Hospital, NY 10032, USA
| | - Lindsay A Farrer
- Department of Medicine (Biomedical Genetics), Boston University School of Medicine, MA 02118, USA
- Department of Neurology, Boston University School of Medicine, MA 02118, USA
- Department of Ophthalmology, Boston University School of Medicine, MA 02118, USA
- Department of Biostatistics, Boston University School of Public Health, MA 02118, USA
- Department of Epidemiology, Boston University School of Public Health, MA 02118, USA
| | - Gerard D Schellenberg
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, PA 19104, USA
- Penn Neurodegeneration Genomics Center, Perelman School of Medicine, University of Pennsylvania, PA 19104, USA
| | - Wan-Ping Lee
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, PA 19104, USA
- Penn Neurodegeneration Genomics Center, Perelman School of Medicine, University of Pennsylvania, PA 19104, USA
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32
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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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Bourquard T, Lee K, Al-Ramahi I, Pham M, Shapiro D, Lagisetty Y, Soleimani S, Mota S, Wilhelm K, Samieinasab M, Kim YW, Huh E, Asmussen J, Katsonis P, Botas J, Lichtarge O. Functional variants identify sex-specific genes and pathways in Alzheimer's Disease. Nat Commun 2023; 14:2765. [PMID: 37179358 PMCID: PMC10183026 DOI: 10.1038/s41467-023-38374-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2022] [Accepted: 04/28/2023] [Indexed: 05/15/2023] Open
Abstract
The incidence of Alzheimer's Disease in females is almost double that of males. To search for sex-specific gene associations, we build a machine learning approach focused on functionally impactful coding variants. This method can detect differences between sequenced cases and controls in small cohorts. In the Alzheimer's Disease Sequencing Project with mixed sexes, this approach identified genes enriched for immune response pathways. After sex-separation, genes become specifically enriched for stress-response pathways in male and cell-cycle pathways in female. These genes improve disease risk prediction in silico and modulate Drosophila neurodegeneration in vivo. Thus, a general approach for machine learning on functionally impactful variants can uncover sex-specific candidates towards diagnostic biomarkers and therapeutic targets.
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Affiliation(s)
- Thomas Bourquard
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Kwanghyuk Lee
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Ismael Al-Ramahi
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, 77030, USA
- Jan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX, 77030, USA
- Center for Alzheimer's and Neurodegenerative Diseases, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Minh Pham
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Dillon Shapiro
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Yashwanth Lagisetty
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, 77030, USA
- Department of Biology and Pharmacology, UTHealth McGovern Medical School, Houston, TX, 77030, USA
| | - Shirin Soleimani
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Samantha Mota
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Kevin Wilhelm
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Maryam Samieinasab
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Young Won Kim
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Eunna Huh
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Jennifer Asmussen
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Panagiotis Katsonis
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Juan Botas
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, 77030, USA
- Jan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX, 77030, USA
- Center for Alzheimer's and Neurodegenerative Diseases, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Olivier Lichtarge
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, 77030, USA.
- Center for Alzheimer's and Neurodegenerative Diseases, Baylor College of Medicine, Houston, TX, 77030, USA.
- Computational and Integrative Biomedical Research Center, Baylor College of Medicine, Houston, TX, 77030, USA.
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34
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Langworth-Green C, Patel S, Jaunmuktane Z, Jabbari E, Morris H, Thom M, Lees A, Hardy J, Zandi M, Duff K. Chronic effects of inflammation on tauopathies. Lancet Neurol 2023; 22:430-442. [PMID: 37059510 DOI: 10.1016/s1474-4422(23)00038-8] [Citation(s) in RCA: 17] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2022] [Revised: 01/20/2023] [Accepted: 01/27/2023] [Indexed: 04/16/2023]
Abstract
Tauopathies are a heterogeneous group of neurodegenerative disorders that are characterised by the aggregation of the microtubule-associated protein tau into filamentous inclusions within neurons and glia. Alzheimer's disease is the most prevalent tauopathy. Despite years of intense research efforts, developing disease-modifying interventions for these disorders has been very challenging. The detrimental role that chronic inflammation plays in the pathogenesis of Alzheimer's disease is increasingly recognised; however, it is largely ascribed to the accumulation of amyloid β, leaving the effect of chronic inflammation on tau pathology and neurofibrillary tangle-related pathways greatly overlooked. Tau pathology can independently arise secondary to a range of triggers that are each associated with inflammatory processes, including infection, repetitive mild traumatic brain injury, seizure activity, and autoimmune disease. A greater understanding of the chronic effects of inflammation on the development and progression of tauopathies could help forge a path for the establishment of effective immunomodulatory disease-modifying interventions for clinical use.
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Affiliation(s)
| | - Saisha Patel
- UK Dementia Research Institute, University College London, London, UK
| | - Zane Jaunmuktane
- Department of Clinical and Movement Neurosciences, University College London, London, UK; Queen Square Brain Bank for Neurological Disorders, University College London, London, UK; Division of Neuropathology, University College London, London, UK; National Hospital for Neurology and Neurosurgery, London, UK
| | - Edwin Jabbari
- Department of Clinical and Movement Neurosciences, University College London, London, UK; National Hospital for Neurology and Neurosurgery, London, UK; Department of Neurology, Royal Free Hospital, London, UK
| | - Huw Morris
- Department of Clinical and Movement Neurosciences, University College London, London, UK; National Hospital for Neurology and Neurosurgery, London, UK; Department of Neurology, Royal Free Hospital, London, UK
| | - Maria Thom
- Division of Neuropathology, University College London, London, UK; Department of Clinical and Experimental Epilepsy, University College London, London, UK
| | - Andrew Lees
- Department of Clinical and Movement Neurosciences, University College London, London, UK; Reta Lila Weston Institute, University College London, London, UK
| | - John Hardy
- UK Dementia Research Institute, University College London, London, UK; Reta Lila Weston Institute, University College London, London, UK; Department of Neurodegenerative Disease, University College London, London, UK
| | - Michael Zandi
- Department of Neuroinflammation, UCL Queen Square Institute of Neurology, University College London, London, UK; National Hospital for Neurology and Neurosurgery, London, UK
| | - Karen Duff
- UK Dementia Research Institute, University College London, London, UK.
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35
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Ali M, Archer DB, Gorijala P, Western D, Timsina J, Fernández MV, Wang TC, Satizabal CL, Yang Q, Beiser AS, Wang R, Chen G, Gordon B, Benzinger TLS, Xiong C, Morris JC, Bateman RJ, Karch CM, McDade E, Goate A, Seshadri S, Mayeux RP, Sperling RA, Buckley RF, Johnson KA, Won HH, Jung SH, Kim HR, Seo SW, Kim HJ, Mormino E, Laws SM, Fan KH, Kamboh MI, Vemuri P, Ramanan VK, Yang HS, Wenzel A, Rajula HSR, Mishra A, Dufouil C, Debette S, Lopez OL, DeKosky ST, Tao F, Nagle MW, Hohman TJ, Sung YJ, Dumitrescu L, Cruchaga C. Large multi-ethnic genetic analyses of amyloid imaging identify new genes for Alzheimer disease. Acta Neuropathol Commun 2023; 11:68. [PMID: 37101235 PMCID: PMC10134547 DOI: 10.1186/s40478-023-01563-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2023] [Accepted: 04/05/2023] [Indexed: 04/28/2023] Open
Abstract
Amyloid PET imaging has been crucial for detecting the accumulation of amyloid beta (Aβ) deposits in the brain and to study Alzheimer's disease (AD). We performed a genome-wide association study on the largest collection of amyloid imaging data (N = 13,409) to date, across multiple ethnicities from multicenter cohorts to identify variants associated with brain amyloidosis and AD risk. We found a strong APOE signal on chr19q.13.32 (top SNP: APOE ɛ4; rs429358; β = 0.35, SE = 0.01, P = 6.2 × 10-311, MAF = 0.19), driven by APOE ɛ4, and five additional novel associations (APOE ε2/rs7412; rs73052335/rs5117, rs1081105, rs438811, and rs4420638) independent of APOE ɛ4. APOE ɛ4 and ε2 showed race specific effect with stronger association in Non-Hispanic Whites, with the lowest association in Asians. Besides the APOE, we also identified three other genome-wide loci: ABCA7 (rs12151021/chr19p.13.3; β = 0.07, SE = 0.01, P = 9.2 × 10-09, MAF = 0.32), CR1 (rs6656401/chr1q.32.2; β = 0.1, SE = 0.02, P = 2.4 × 10-10, MAF = 0.18) and FERMT2 locus (rs117834516/chr14q.22.1; β = 0.16, SE = 0.03, P = 1.1 × 10-09, MAF = 0.06) that all colocalized with AD risk. Sex-stratified analyses identified two novel female-specific signals on chr5p.14.1 (rs529007143, β = 0.79, SE = 0.14, P = 1.4 × 10-08, MAF = 0.006, sex-interaction P = 9.8 × 10-07) and chr11p.15.2 (rs192346166, β = 0.94, SE = 0.17, P = 3.7 × 10-08, MAF = 0.004, sex-interaction P = 1.3 × 10-03). We also demonstrated that the overall genetic architecture of brain amyloidosis overlaps with that of AD, Frontotemporal Dementia, stroke, and brain structure-related complex human traits. Overall, our results have important implications when estimating the individual risk to a population level, as race and sex will needed to be taken into account. This may affect participant selection for future clinical trials and therapies.
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Affiliation(s)
- Muhammad Ali
- Department of Psychiatry, Washington University, St. Louis, MO, 63110, USA
- NeuroGenomics and Informatics, Washington University, St. Louis, MO, 63110, USA
| | - Derek B Archer
- Vanderbilt Memory and Alzheimer's Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Priyanka Gorijala
- Department of Psychiatry, Washington University, St. Louis, MO, 63110, USA
- NeuroGenomics and Informatics, Washington University, St. Louis, MO, 63110, USA
| | - Daniel Western
- Department of Psychiatry, Washington University, St. Louis, MO, 63110, USA
- NeuroGenomics and Informatics, Washington University, St. Louis, MO, 63110, USA
| | - Jigyasha Timsina
- Department of Psychiatry, Washington University, St. Louis, MO, 63110, USA
- NeuroGenomics and Informatics, Washington University, St. Louis, MO, 63110, USA
| | - Maria V Fernández
- Department of Psychiatry, Washington University, St. Louis, MO, 63110, USA
- NeuroGenomics and Informatics, Washington University, St. Louis, MO, 63110, USA
| | - Ting-Chen Wang
- Vanderbilt Memory and Alzheimer's Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Claudia L Satizabal
- Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, UT Health, San Antonio, TX, 78229, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
- Framingham Heart Study, Framingham, MA, USA
| | - Qiong Yang
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Alexa S Beiser
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
- Framingham Heart Study, Framingham, MA, USA
| | | | - Gengsheng Chen
- Knight Alzheimer's Disease Research Center, Washington University, St Louis, MO, USA
- Mallinckrodt Institute of Radiology, Washington University, St Louis, MO, USA
| | - Brian Gordon
- Knight Alzheimer's Disease Research Center, Washington University, St Louis, MO, USA
- Mallinckrodt Institute of Radiology, Washington University, St Louis, MO, USA
| | - Tammie L S Benzinger
- Knight Alzheimer's Disease Research Center, Washington University, St Louis, MO, USA
- Mallinckrodt Institute of Radiology, Washington University, St Louis, MO, USA
| | - Chengjie Xiong
- Knight Alzheimer's Disease Research Center, Washington University, St Louis, MO, USA
| | - John C Morris
- Knight Alzheimer's Disease Research Center, Washington University, St Louis, MO, USA
- Department of Neurology, Washington University, St Louis, MO, USA
| | - Randall J Bateman
- Knight Alzheimer's Disease Research Center, Washington University, St Louis, MO, USA
- Department of Neurology, Washington University, St Louis, MO, USA
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA
| | - Celeste M Karch
- Department of Psychiatry, Washington University, St. Louis, MO, 63110, USA
| | - Eric McDade
- Department of Neurology, Washington University, St Louis, MO, USA
| | - Alison Goate
- Department of Neuroscience, Ronald M. Loeb Center for Alzheimer's Disease, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Sudha Seshadri
- Framingham Heart Study, Framingham, MA, USA
- Boston University School of Medicine, Boston, MA, USA
| | - Richard P Mayeux
- The Department of Neurology, Columbia University, New York, NY, USA
| | - Reisa A Sperling
- Department of Neurology, Harvard Medical School, Boston, MA, USA
- Brigham and Women's Hospital and Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Rachel F Buckley
- Brigham and Women's Hospital and Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, USA
| | - Keith A Johnson
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Hong-Hee Won
- Department of Digital Health, Samsung Medical Center, SAIHST, Sungkyunkwan University, Seoul, Republic of Korea
| | - Sang-Hyuk Jung
- Department of Digital Health, Samsung Medical Center, SAIHST, Sungkyunkwan University, Seoul, Republic of Korea
| | - Hang-Rai Kim
- Department of Neurology, Dongguk University Ilsan Hospital, Dongguk University College of Medicine, Goyang, Republic of Korea
| | - Sang Won Seo
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Hee Jin Kim
- Department of Digital Health, Samsung Medical Center, SAIHST, Sungkyunkwan University, Seoul, Republic of Korea
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Elizabeth Mormino
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA
| | - Simon M Laws
- Centre for Precision Health, Edith Cowan University, 270 Joondalup Dr, Joondalup, WA, 6027, Australia
| | - Kang-Hsien Fan
- Department of Human Genetics, University of Pittsburgh, Pittsburgh, PA, USA
| | - M Ilyas Kamboh
- Department of Human Genetics, University of Pittsburgh, Pittsburgh, PA, USA
| | - Prashanthi Vemuri
- Department of Radiology, Mayo Clinic-Minnesota, Rochester, MN, 55905, USA
| | - Vijay K Ramanan
- Department of Neurology, Mayo Clinic-Minnesota, Rochester, MN, 55905, USA
| | - 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, USA
- Broad Institute of Harvard and MIT, Cambridge, USA
| | - Allen Wenzel
- Wisconsin Alzheimer's Institute, Madison, WI, USA
| | - Hema Sekhar Reddy Rajula
- UMR 1219, University of Bordeaux, INSERM, Bordeaux Population Health Research Centre, Team ELEANOR, 33000, Bordeaux, France
| | - Aniket Mishra
- UMR 1219, University of Bordeaux, INSERM, Bordeaux Population Health Research Centre, Team ELEANOR, 33000, Bordeaux, France
| | - Carole Dufouil
- UMR 1219, University of Bordeaux, INSERM, Bordeaux Population Health Research Centre, Team ELEANOR, 33000, Bordeaux, France
| | - Stephanie Debette
- UMR 1219, University of Bordeaux, INSERM, Bordeaux Population Health Research Centre, Team ELEANOR, 33000, Bordeaux, France
- Department of Neurology, Boston University School of Medicine, Boston, MA, 2115, USA
- Department of Neurology, CHU de Bordeaux, 33000, Bordeaux, France
| | - Oscar L Lopez
- Department of Neurology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Steven T DeKosky
- Department of Neurology and McKnight Brain Institute, University of Florida, Gainesville, FL, USA
| | - Feifei Tao
- Neurogenomics, Genetics-Guided Dementia Discovery, Eisai, Inc, Cambridge, MA, USA
| | - Michael W Nagle
- Neurogenomics, Genetics-Guided Dementia Discovery, Eisai, Inc, Cambridge, MA, USA
| | - Timothy J Hohman
- Vanderbilt Memory and Alzheimer's Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Yun Ju Sung
- Department of Psychiatry, Washington University, St. Louis, MO, 63110, USA
- NeuroGenomics and Informatics, Washington University, St. Louis, MO, 63110, USA
| | - Logan Dumitrescu
- Vanderbilt Memory and Alzheimer's Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Carlos Cruchaga
- Department of Psychiatry, Washington University, St. Louis, MO, 63110, USA.
- NeuroGenomics and Informatics, Washington University, St. Louis, MO, 63110, USA.
- Knight Alzheimer's Disease Research Center, Washington University, St Louis, MO, USA.
- Hope Center for Neurologic Diseases, Washington University, St. Louis, MO, 63110, USA.
- Department of Genetics, Washington University School of Medicine, St Louis, MO, 63110, USA.
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36
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Guan M, Chai Y, Yi R, Chen Y, Ip JPK, Ye T, Chen Y. Generation of a homozygous ABCA7-knockout human iPSC line using the CRISPR/Cas9 system. Stem Cell Res 2023; 66:103000. [PMID: 36521383 DOI: 10.1016/j.scr.2022.103000] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Revised: 10/31/2022] [Accepted: 12/06/2022] [Indexed: 12/13/2022] Open
Abstract
ABCA7 encodes an ATP-binding cassette transporter, and its loss-of-function variants are associated with Alzheimer's disease. To investigate the role of ABCA7 deficiency in the pathogenesis of Alzheimer's disease, we generated a homozygous ABCA7-knockout induced pluripotent stem cell (iPSC) line using CRISPR/Cas9-mediated gene editing. This ABCA7-deficient iPSC line maintains a normal karyotype, expression of pluripotency markers, and trilineage differentiation capacity.
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Affiliation(s)
- Mingfeng Guan
- Chinese Academy of Sciences Key Laboratory of Brain Connectome and Manipulation, Shenzhen Key Laboratory of Translational Research for Brain Diseases, The Brain Cognition and Brain Disease Institute, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions, Shenzhen, China
| | - Yue Chai
- Chinese Academy of Sciences Key Laboratory of Brain Connectome and Manipulation, Shenzhen Key Laboratory of Translational Research for Brain Diseases, The Brain Cognition and Brain Disease Institute, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions, Shenzhen, China; University of Chinese Academy of Sciences, Beijing, China
| | - Ran Yi
- Guangdong Provincial Key Laboratory of Brain Science, Disease and Drug Development, HKUST Shenzhen Research Institute, Shenzhen, China
| | - Yuewen Chen
- Chinese Academy of Sciences Key Laboratory of Brain Connectome and Manipulation, Shenzhen Key Laboratory of Translational Research for Brain Diseases, The Brain Cognition and Brain Disease Institute, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions, Shenzhen, China; University of Chinese Academy of Sciences, Beijing, China; Guangdong Provincial Key Laboratory of Brain Science, Disease and Drug Development, HKUST Shenzhen Research Institute, Shenzhen, China
| | - Jacque P K Ip
- School of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong Special Administrative Regions
| | - Tao Ye
- Chinese Academy of Sciences Key Laboratory of Brain Connectome and Manipulation, Shenzhen Key Laboratory of Translational Research for Brain Diseases, The Brain Cognition and Brain Disease Institute, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions, Shenzhen, China; University of Chinese Academy of Sciences, Beijing, China; Guangdong Provincial Key Laboratory of Brain Science, Disease and Drug Development, HKUST Shenzhen Research Institute, Shenzhen, China.
| | - Yu Chen
- Chinese Academy of Sciences Key Laboratory of Brain Connectome and Manipulation, Shenzhen Key Laboratory of Translational Research for Brain Diseases, The Brain Cognition and Brain Disease Institute, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions, Shenzhen, China; University of Chinese Academy of Sciences, Beijing, China; Guangdong Provincial Key Laboratory of Brain Science, Disease and Drug Development, HKUST Shenzhen Research Institute, Shenzhen, China.
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Abstract
Alzheimer's disease (AD) is a genetically complex and heterogeneous disorder with multifaceted neuropathological features, including β-amyloid plaques, neurofibrillary tangles, and neuroinflammation. Over the past decade, emerging evidence has implicated both beneficial and pathological roles for innate immune genes and immune cells, including peripheral immune cells such as T cells, which can infiltrate the brain and either ameliorate or exacerbate AD neuropathogenesis. These findings support a neuroimmune axis of AD, in which the interplay of adaptive and innate immune systems inside and outside the brain critically impacts the etiology and pathogenesis of AD. In this review, we discuss the complexities of AD neuropathology at the levels of genetics and cellular physiology, highlighting immune signaling pathways and genes associated with AD risk and interactions among both innate and adaptive immune cells in the AD brain. We emphasize the role of peripheral immune cells in AD and the mechanisms by which immune cells, such as T cells and monocytes, influence AD neuropathology, including microglial clearance of amyloid-β peptide, the key component of β-amyloid plaque cores, pro-inflammatory and cytotoxic activity of microglia, astrogliosis, and their interactions with the brain vasculature. Finally, we review the challenges and outlook for establishing immune-based therapies for treating and preventing AD.
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Sinha N, Fausto BA, Mander B, Gluck MA. High-Quality Sleep Mitigates ABCA7-Related Generalization Deficits in Healthy Older African Americans. J Alzheimers Dis 2023; 94:281-290. [PMID: 37212111 PMCID: PMC10357211 DOI: 10.3233/jad-230043] [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] [Accepted: 04/22/2023] [Indexed: 05/23/2023]
Abstract
BACKGROUND Both sleep deficiencies and Alzheimer's disease (AD) disproportionately affect older African Americans. Genetic susceptibility to AD further compounds risk for cognitive decline in this population. Aside from APOE ɛ4, ABCA7 rs115550680 is the strongest genetic locus associated with late-onset AD in African Americans. While sleep and ABCA7 rs115550680 independently influence late-life cognitive outcomes, we know too little about the interplay between these two factors on cognitive function. OBJECTIVE We investigated the interaction between sleep and ABCA7 rs115550680 on hippocampal-dependent cognitive function in older African Americans. METHODS One-hundred fourteen cognitively healthy older African Americans were genotyped for ABCA7 risk (n = 57 carriers of risk "G" allele; n = 57 non-carriers), responded to lifestyle questionnaires, and completed a cognitive battery. Sleep was assessed via a self-reported rating of sleep quality (poor, average, good). Covariates included age and years of education. RESULTS Using ANCOVA, we found that carriers of the risk genotype who reported poor or average sleep quality demonstrated significantly poorer generalization of prior learning-a cognitive marker of AD-compared to their non-risk counterparts. Conversely, there was no genotype-related difference in generalization performance in individuals who reported good sleep quality. CONCLUSION These results indicate that sleep quality may be neuroprotective against genetic risk for AD. Future studies employing more rigorous methodology should investigate the mechanistic role of sleep neurophysiology in the pathogenesis and progression of AD associated with ABCA7. There is also need for the continued development of non-invasive sleep interventions tailored to racial groups with specific AD genetic risk profiles.
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Affiliation(s)
- Neha Sinha
- Aging & Brain Health Alliance, Center for Molecular & Behavioral Neuroscience, Rutgers University – Newark, Newark, NJ, USA
| | - Bernadette A. Fausto
- Aging & Brain Health Alliance, Center for Molecular & Behavioral Neuroscience, Rutgers University – Newark, Newark, NJ, USA
| | - Bryce Mander
- Center for the Neurobiology of Learning and Memory, University of California, Irvine, CA, USA
- Department of Psychiatry and Human Behavior, University of California, Irvine, CA, USA, USA
| | - Mark A. Gluck
- Aging & Brain Health Alliance, Center for Molecular & Behavioral Neuroscience, Rutgers University – Newark, Newark, NJ, USA
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Antidepressants as a potential candidate to reduce microglia activation in neurodegenerative diseases. A systematic review and meta-analysis of preclinical studies. JOURNAL OF AFFECTIVE DISORDERS REPORTS 2023. [DOI: 10.1016/j.jadr.2023.100465] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023] Open
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40
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Wallon D, Nicolas G. Genetica della malattia di Alzheimer. Neurologia 2022. [DOI: 10.1016/s1634-7072(22)47093-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/05/2022] Open
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Chaar DL, Nguyen K, Wang YZ, Ratliff SM, Mosley TH, Kardia SLR, Smith JA, Zhao W. SNP-by-CpG Site Interactions in ABCA7 Are Associated with Cognition in Older African Americans. Genes (Basel) 2022; 13:2150. [PMID: 36421824 PMCID: PMC9691156 DOI: 10.3390/genes13112150] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Revised: 10/21/2022] [Accepted: 11/10/2022] [Indexed: 06/28/2024] Open
Abstract
SNPs in ABCA7 confer the largest genetic risk for Alzheimer's Disease (AD) in African Americans (AA) after APOE ε4. However, the relationship between ABCA7 and cognitive function has not been thoroughly examined. We investigated the effects of five known AD risk SNPs and 72 CpGs in ABCA7, as well as their interactions, on general cognitive function (cognition) in 634 older AA without dementia from Genetic Epidemiology Network of Arteriopathy (GENOA). Using linear mixed models, no SNP or CpG was associated with cognition after multiple testing correction, but five CpGs were nominally associated (p < 0.05). Four SNP-by-CpG interactions were associated with cognition (FDR q < 0.1). Contrast tests show that methylation is associated with cognition in some genotype groups (p < 0.05): a 1% increase at cg00135882 and cg22271697 is associated with a 0.68 SD decrease and 0.14 SD increase in cognition for those with the rs3764647 GG/AG (p = 0.004) and AA (p = 2 × 10-4) genotypes, respectively. In addition, a 1% increase at cg06169110 and cg17316918 is associated with a 0.37 SD decrease (p = 2 × 10-4) and 0.33 SD increase (p = 0.004), respectively, in cognition for those with the rs115550680 GG/AG genotype. While AD risk SNPs in ABCA7 were not associated with cognition in this sample, some have interactions with proximal methylation on cognition.
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Affiliation(s)
- Dima L. Chaar
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA
| | - Kim Nguyen
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA
| | - Yi-Zhe Wang
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA
| | - Scott M. Ratliff
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA
| | - Thomas H. Mosley
- Memory Impairment and Neurodegenerative Dementia (MIND) Center, University of Mississippi Medical Center, Jackson, MI 39216, USA
| | - Sharon L. R. Kardia
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA
| | - Jennifer A. Smith
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI 48104, USA
| | - Wei Zhao
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI 48104, USA
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Romero-Molina C, Garretti F, Andrews SJ, Marcora E, Goate AM. Microglial efferocytosis: Diving into the Alzheimer's disease gene pool. Neuron 2022; 110:3513-3533. [PMID: 36327897 DOI: 10.1016/j.neuron.2022.10.015] [Citation(s) in RCA: 33] [Impact Index Per Article: 16.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Revised: 10/04/2022] [Accepted: 10/07/2022] [Indexed: 11/07/2022]
Abstract
Genome-wide association studies and functional genomics studies have linked specific cell types, genes, and pathways to Alzheimer's disease (AD) risk. In particular, AD risk alleles primarily affect the abundance or structure, and thus the activity, of genes expressed in macrophages, strongly implicating microglia (the brain-resident macrophages) in the etiology of AD. These genes converge on pathways (endocytosis/phagocytosis, cholesterol metabolism, and immune response) with critical roles in core macrophage functions such as efferocytosis. Here, we review these pathways, highlighting relevant genes identified in the latest AD genetics and genomics studies, and describe how they may contribute to AD pathogenesis. Investigating the functional impact of AD-associated variants and genes in microglia is essential for elucidating disease risk mechanisms and developing effective therapeutic approaches.
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Affiliation(s)
- Carmen Romero-Molina
- Ronald M. Loeb Center for Alzheimer's Disease, 1 Gustave L. Levy Place, New York, NY 10029-6574, USA; Department of Genetics & Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Francesca Garretti
- Ronald M. Loeb Center for Alzheimer's Disease, 1 Gustave L. Levy Place, New York, NY 10029-6574, USA; Department of Genetics & Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Shea J Andrews
- Ronald M. Loeb Center for Alzheimer's Disease, 1 Gustave L. Levy Place, New York, NY 10029-6574, USA; Department of Genetics & Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Psychiatry and Behavioral Sciences, University of California San Francisco, San Francisco, CA, USA
| | - Edoardo Marcora
- Ronald M. Loeb Center for Alzheimer's Disease, 1 Gustave L. Levy Place, New York, NY 10029-6574, USA; Department of Genetics & Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
| | - Alison M Goate
- Ronald M. Loeb Center for Alzheimer's Disease, 1 Gustave L. Levy Place, New York, NY 10029-6574, USA; Department of Genetics & Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
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Katzeff JS, Lok HC, Bhatia S, Fu Y, Halliday GM, Kim WS. ATP-binding cassette transporter expression is widely dysregulated in frontotemporal dementia with TDP-43 inclusions. Front Mol Neurosci 2022; 15:1043127. [PMID: 36385764 PMCID: PMC9663841 DOI: 10.3389/fnmol.2022.1043127] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Accepted: 10/11/2022] [Indexed: 10/17/2023] Open
Abstract
The human brain is highly enriched in lipids and increasing evidence indicates that dysregulation of lipids in the brain is associated with neurodegeneration. ATP-binding cassette subfamily A (ABCA) transporters control the movement of lipids across cellular membranes and are implicated in a number of neurodegenerative diseases. However, very little is known about the role of ABCA transporters in frontotemporal lobar degeneration with TDP-43 inclusions (FTLD-TDP), which is a common form of younger-onset dementia. We therefore undertook a comprehensive analysis of the expression of ABCA transporters (ABCA1-13) in five key brain regions (amygdala, inferior temporal cortex, superior frontal cortex, cerebellum and parietal cortex) in FTLD-TDP and controls. We found that the expression of ABCA2, ABCA3, ABCA4, ABCA7, ABCA9, ABCA10 and ABCA13 was significantly altered in FTLD-TDP in a region-specific manner. In addition, the expression of ABCA transporters correlated specifically to different neural markers and TARDBP. These results suggest substantial dysregulation of ABCA transporters and lipid metabolism in FTLD-TDP and these changes are associated with neuroinflammation.
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Affiliation(s)
| | | | | | | | | | - Woojin Scott Kim
- Brain and Mind Centre & School of Medical Sciences, The University of Sydney, Sydney, NSW, Australia
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Medbøen IT, Persson K, Nåvik M, Totland TH, Bergh S, Treviño CS, Ulstein I, Engedal K, Knapskog AB, Brækhus A, Øksengård AR, Horndalsveen PO, Saltvedt I, Lyngroth AL, Ranhoff AH, Skrettingland DB, Naik M, Soares JZ, Johnsen B, Selbaek G. Cohort profile: the Norwegian Registry of Persons Assessed for Cognitive Symptoms (NorCog) - a national research and quality registry with a biomaterial collection. BMJ Open 2022; 12:e058810. [PMID: 36448543 PMCID: PMC9462106 DOI: 10.1136/bmjopen-2021-058810] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
PURPOSE The Norwegian Registry of Persons Assessed for Cognitive Symptoms (NorCog) was established to harmonise and improve the quality of diagnostic practice across clinics assessing persons with cognitive symptoms in Norwegian specialist healthcare units and to establish a large research cohort with extensive clinical data. PARTICIPANTS The registry recruits patients who are referred for assessment of cognitive symptoms and suspected dementia at outpatient clinics in Norwegian specialist healthcare units. In total, 18 120 patients have been included in NorCog during the period of 2009-2021. The average age at inclusion was 73.7 years. About half of the patients (46%) were diagnosed with dementia at the baseline assessment, 35% with mild cognitive impairment and 13% with no or subjective cognitive impairment; 7% received other specified diagnoses such as mood disorders. FINDINGS TO DATE All patients have a detailed baseline characterisation involving lifestyle and demographic variables; activities of daily living; caregiver situation; medical history; medication; psychiatric, physical and neurological examinations; neurocognitive testing; blood laboratory work-up; and structural or functional brain imaging. Diagnoses are set according to standardised diagnostic criteria. The research biobank stores DNA and blood samples from 4000 patients as well as cerebrospinal fluid from 800 patients. Data from NorCog have been used in a wide range of research projects evaluating and validating dementia-related assessment tools, and identifying patient characteristics, symptoms, functioning and needs, as well as caregiver burden and requirement of available resources. FUTURE PLANS The finish date of NorCog was originally in 2029. In 2021, the registry's legal basis was reformalised and NorCog got approval to collect and keep data for as long as is necessary to achieve the purpose of the registry. In 2022, the registry underwent major changes. Paper-based data collection was replaced with digital registration, and the number of variables collected was reduced. Future plans involve expanding the registry to include patients from primary care centres.
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Affiliation(s)
- Ingrid Tøndel Medbøen
- Vestfold Hospital Trust, Norwegian National Centre for Ageing and Health, Tonsberg, Vestfold, Norway
- Department of Geriatric Medicine, Oslo University Hospital, Oslo, Norway
| | - Karin Persson
- Vestfold Hospital Trust, Norwegian National Centre for Ageing and Health, Tonsberg, Vestfold, Norway
- Department of Geriatric Medicine, Oslo University Hospital, Oslo, Norway
| | - Marit Nåvik
- Vestfold Hospital Trust, Norwegian National Centre for Ageing and Health, Tonsberg, Vestfold, Norway
- Department of Psychiatry, Telemark Hospital, Skien, Norway
| | - Torunn Holm Totland
- Department of Chronic Diseases and Ageing, Norwegian Institute of Public Health, Oslo, Norway
| | - Sverre Bergh
- Vestfold Hospital Trust, Norwegian National Centre for Ageing and Health, Tonsberg, Vestfold, Norway
- Research Centre for Age-related Functional Decline and Disease, Innlandet Hospital Trust, Ottestad, Norway
| | - Cathrine Selnes Treviño
- Vestfold Hospital Trust, Norwegian National Centre for Ageing and Health, Tonsberg, Vestfold, Norway
- Department of Geriatric Medicine, Oslo University Hospital, Oslo, Norway
| | - Ingun Ulstein
- Department of Geriatric Medicine, Oslo University Hospital, Oslo, Norway
| | - Knut Engedal
- Vestfold Hospital Trust, Norwegian National Centre for Ageing and Health, Tonsberg, Vestfold, Norway
- Department of Geriatric Medicine, Oslo University Hospital, Oslo, Norway
| | | | - Anne Brækhus
- Vestfold Hospital Trust, Norwegian National Centre for Ageing and Health, Tonsberg, Vestfold, Norway
- Department of Geriatric Medicine, Oslo University Hospital, Oslo, Norway
| | - Anne Rita Øksengård
- The Norwegian Health Association, Oslo, Norway
- Vestre Viken Hospital Trust, Bærum Hospital, Drammen, Norway
| | | | - Ingvild Saltvedt
- Department of Geriatrics, St. Olav's Hospital, Trondheim University Hospital, Trondhem, Norway
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim, Norway
| | - Anne Liv Lyngroth
- Department of Geriatrics, Sorlandet Hospital Arendal, Arendal, Norway
| | - Anette Hylen Ranhoff
- Department of Medicine, Diakonhjemmet Hospital, Oslo, Norway
- Department of Clinical Science, University of Bergen, Bergen, Norway
| | | | - Mala Naik
- Department of Clinical Science, University of Bergen, Bergen, Norway
- Department of Medicine, Haraldsplass Deaconess Hospital, Bergen, Norway
| | - Jelena Zugic Soares
- Medical Department, Section of Geriatrics, Lovisenberg Diaconal Hospital, Oslo, Norway
| | - Bente Johnsen
- Department of Geriatric Medicine, University Hospital of North Norway, Tromsø, Norway
| | - Geir Selbaek
- Vestfold Hospital Trust, Norwegian National Centre for Ageing and Health, Tonsberg, Vestfold, Norway
- Department of Geriatric Medicine, Oslo University Hospital, Oslo, Norway
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Nordestgaard LT, Christoffersen M, Frikke-Schmidt R. Shared Risk Factors between Dementia and Atherosclerotic Cardiovascular Disease. Int J Mol Sci 2022; 23:9777. [PMID: 36077172 PMCID: PMC9456552 DOI: 10.3390/ijms23179777] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Revised: 08/21/2022] [Accepted: 08/24/2022] [Indexed: 11/25/2022] Open
Abstract
Alzheimer's disease is the most common form of dementia, and the prodromal phases of Alzheimer's disease can last for decades. Vascular dementia is the second most common form of dementia and is distinguished from Alzheimer's disease by evidence of previous stroke or hemorrhage and current cerebrovascular disease. A compiled group of vascular-related dementias (vascular dementia and unspecified dementia) is often referred to as non-Alzheimer dementia. Recent evidence indicates that preventing dementia by lifestyle interventions early in life with a focus on reducing cardiovascular risk factors is a promising strategy for reducing future risk. Approximately 40% of dementia cases is estimated to be preventable by targeting modifiable, primarily cardiovascular risk factors. The aim of this review is to describe the association between risk factors for atherosclerotic cardiovascular disease and the risk of Alzheimer's disease and non-Alzheimer dementia by providing an overview of the current evidence and to shed light on possible shared pathogenic pathways between dementia and cardiovascular disease. The included risk factors are body mass index (BMI); plasma triglyceride-, high-density lipoprotein (HDL) cholesterol-, low-density lipoprotein (LDL) cholesterol-, and total cholesterol concentrations; hypertension; diabetes; non-alcoholic fatty liver disease (NAFLD); physical inactivity; smoking; diet; the gut microbiome; and genetics. Furthermore, we aim to disentangle the difference between associations of risk factors in midlife as compared with in late life.
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Affiliation(s)
- Liv Tybjærg Nordestgaard
- Department of Clinical Biochemistry, Copenhagen University Hospital—Rigshospitalet, 2100 Copenhagen, Denmark
| | - Mette Christoffersen
- Department of Clinical Biochemistry, Copenhagen University Hospital—Rigshospitalet, 2100 Copenhagen, Denmark
| | - Ruth Frikke-Schmidt
- Department of Clinical Biochemistry, Copenhagen University Hospital—Rigshospitalet, 2100 Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
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Iqbal J, Suarez MD, Yadav PK, Walsh MT, Li Y, Wu Y, Huang Z, James AW, Escobar V, Mokbe A, Brickman AM, Luchsinger JA, Dai K, Moreno H, Hussain MM. ATP-binding cassette protein ABCA7 deficiency impairs sphingomyelin synthesis, cognitive discrimination, and synaptic plasticity in the entorhinal cortex. J Biol Chem 2022; 298:102411. [PMID: 36007616 PMCID: PMC9513280 DOI: 10.1016/j.jbc.2022.102411] [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: 10/02/2021] [Revised: 08/06/2022] [Accepted: 08/10/2022] [Indexed: 12/22/2022] Open
Abstract
Sphingomyelin (SM) is an abundant plasma membrane and plasma lipoprotein sphingolipid. We previously reported that ATP-binding cassette family A protein 1 (ABCA1) deficiency in humans and mice decreases plasma SM levels. However, overexpression, induction, downregulation, inhibition, and knockdown of ABCA1 in human hepatoma Huh7 cells did not decrease SM efflux. Using unbiased siRNA screening, here we identified that ABCA7 plays a role in the biosynthesis and efflux of SM without affecting cellular uptake and metabolism. Since loss of function mutations in the ABCA7 gene exhibit strong associations with late-onset Alzheimer's disease (LOAD) across racial groups, we also studied the effects of ABCA7 deficiency in the mouse brain. Brains of ABCA7-deficient (KO) mice, compared with wild type (WT), had significantly lower levels of several SM species with long chain fatty acids. In addition, we observed that older KO mice exhibited behavioral deficits in cognitive discrimination in the active place avoidance task. Next, we performed synaptic transmission studies in brain slices obtained from older mice. We found anomalies in synaptic plasticity at the intracortical layer II/III lateral entorhinal cortex synapse but not in the hippocampal synapses in KO mice. These synaptic abnormalities in KO brain slices were rescued with extracellular SM supplementation, but not by supplementation with phosphatidylcholine. Taken together, these studies identify a role of ABCA7 in brain SM metabolism and the importance of SM in synaptic plasticity and cognition, as well as provide a possible explanation for the association between ABCA7 and LOAD.
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Affiliation(s)
- Jahangir Iqbal
- Department of Cell Biology, SUNY Downstate Medical Center, Brooklyn, NY, USA; King Abdullah International Medical Research Center, King Saud bin Abdulaziz University for Health Sciences, Ministry of National Guard Health Affairs, Al Ahsa, Saudi Arabia
| | - Manuel D Suarez
- Departments of Neurology and Physiology/Pharmacology, The Robert F. Furchgott Center for Neural and Behavioral Science, SUNY Downstate Medical Center, and Kings County Hospital, Brooklyn, NY
| | - Pradeep K Yadav
- Department of Foundations of Medicine, NYU Long Island School of Medicine, Mineola, NY
| | - Meghan T Walsh
- Department of Cell Biology, SUNY Downstate Medical Center, Brooklyn, NY, USA
| | - Yimeng Li
- Institute of Mental Health, the Affiliated Kangning Hospital of Wenzhou Medical University, Wenzhou, 325007, China
| | - Yiyang Wu
- Institute of Mental Health, the Affiliated Kangning Hospital of Wenzhou Medical University, Wenzhou, 325007, China
| | - Zhengwei Huang
- Institute of Mental Health, the Affiliated Kangning Hospital of Wenzhou Medical University, Wenzhou, 325007, China
| | | | - Victor Escobar
- Departments of Neurology and Physiology/Pharmacology, The Robert F. Furchgott Center for Neural and Behavioral Science, SUNY Downstate Medical Center, and Kings County Hospital, Brooklyn, NY
| | - Ashwag Mokbe
- Departments of Neurology and Physiology/Pharmacology, The Robert F. Furchgott Center for Neural and Behavioral Science, SUNY Downstate Medical Center, and Kings County Hospital, Brooklyn, NY
| | - Adam M Brickman
- Taub Institute for Research on Alzheimer's disease and the Aging Brain and Department of Neurology, College of Physicians and Surgeons, Columbia University, New York, NY
| | - José A Luchsinger
- Departments of Medicine and Epidemiology, Columbia University Irving Medical Center, New York, NY
| | - Kezhi Dai
- Institute of Mental Health, the Affiliated Kangning Hospital of Wenzhou Medical University, Wenzhou, 325007, China; School of Mental Health, Wenzhou Medical University, Wenzhou, 325035, China.
| | - Herman Moreno
- Departments of Neurology and Physiology/Pharmacology, The Robert F. Furchgott Center for Neural and Behavioral Science, SUNY Downstate Medical Center, and Kings County Hospital, Brooklyn, NY.
| | - M Mahmood Hussain
- Department of Cell Biology, SUNY Downstate Medical Center, Brooklyn, NY, USA; Department of Foundations of Medicine, NYU Long Island School of Medicine, Mineola, NY.
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Abstract
PURPOSE OF REVIEW This article discusses the spectrum of genetic risk in familial and sporadic forms of early- and late-onset Alzheimer disease (AD). Recent work illuminating the complex genetic architecture of AD is discussed in the context of high and low risk and what is known in different populations. RECENT FINDINGS A small proportion of AD is autosomal dominant familial AD caused by variants in PSEN1, PSEN2, or APP, although more recently described rare genetic changes can also increase risk substantially over the general population, with odds ratios estimated at 2 to 4. APOE remains the strongest genetic risk factor for late-onset AD, and understanding the biology of APOE has yielded mechanistic insights and leads for therapeutic interventions. Genome-wide studies enabled by rapidly developing technologic advances in sequencing have identified numerous risk factors that have a low impact on risk but are widely shared throughout the population and involve a repertoire of cell pathways, again shining light on potential paths to intervention. Population studies aimed at defining and stratifying genetic AD risk have been informative, although they are not yet widely applicable clinically because the studies were not performed in people with diverse ancestry and ethnicity and thus population-wide data are lacking. SUMMARY The value of genetic information to practitioners in the clinic is distinct from information sought by researchers looking to identify novel therapeutic targets. It is possible to envision a future in which genetic stratification joins other biomarkers to facilitate therapeutic choices and inform prognosis. Genetics already has transformed our understanding of AD pathogenesis and will, no doubt, continue to reveal the complexity of brain biology in health and disease.
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Wang L, Jiao Y, Zhao A, Xu X, Ye G, Zhang Y, Wang Y, Deng Y, Xu W, Liu J. Analysis of Genetic Association Between ABCA7 Polymorphism and Alzheimer’s Disease Risk in the Southern Chinese Population. Front Aging Neurosci 2022; 14:819499. [PMID: 35693347 PMCID: PMC9175022 DOI: 10.3389/fnagi.2022.819499] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2021] [Accepted: 04/19/2022] [Indexed: 11/14/2022] Open
Abstract
Objective The study aimed to clarify the association of the 21 single nucleotide polymorphisms (SNPs) with Alzheimer’s disease (AD) in the population of southern China. Methods A case-control study was conducted with a total sample size of 490 subjects (246 patients with AD and 244 age- and gender-matched healthy controls) enrolled in this study. Twenty-one selected SNPs were detected using SNaPshot assay and polymerase chain reaction (PCR) technique. Then, we assessed how these SNPs correlated with AD susceptibility. Results The results showed that rs3764650 of ABCA7 was closely correlated with risen AD morbidity in the allele [P = 0.010, odds ratio (OR) = 1.43, 95% confidence interval (CI) 1.09–1.89], dominant (P = 0.004, OR = 1.71, 95% CI 1.19–2.46), and additive (P = 0.012, OR = 1.42, 95% CI 1.08–1.86) models. However, rs4147929 of ABCA7 was related to higher AD risk in the allele (P = 0.006, OR = 1.45, 95% CI 1.11–1.89), dominant (P = 0.012, OR = 1.59, 95% CI 1.11–2.27), and additive (P = 0.010, OR = 1.40, 95% CI 1.08–1.81) models. In addition, the frequencies of the G-allele at rs3764650 (P = 0.030) and the A-allele at rs4147929 (P = 0.001) in AD were statistically higher in APOE ε4 carriers in comparison to non-carriers. Conclusion This study demonstrated that the G-allele at rs3764650 and the A-allele at rs4147929 appeared at higher risk for developing AD, particularly in APOE ε4 carriers. Moreover, it was observed that rs3764650 and rs4147929 of ABCA7 were linked to AD. More in-depth research with a relatively large sample is needed to make the results more convincing.
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Affiliation(s)
- Lijun Wang
- Department of Neurology and Institute of Neurology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yang Jiao
- Department of Neurology and Institute of Neurology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Aonan Zhao
- Department of Neurology and Institute of Neurology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiaomeng Xu
- Department of Neurology and Institute of Neurology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Guanyu Ye
- Department of Neurology and Institute of Neurology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yichi Zhang
- Department of Neurology and Institute of Neurology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ying Wang
- Department of Neurology and Institute of Neurology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yulei Deng
- Department of Neurology and Institute of Neurology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Wei Xu
- Department of Neurology and Institute of Neurology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- *Correspondence: Wei Xu,
| | - Jun Liu
- Department of Neurology and Institute of Neurology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- CAS Center for Excellence in Brain Science and Intelligence Technology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Jun Liu,
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Fu Y, He Y, Phan K, Pickford R, Kim YB, Dzamko N, Halliday GM, Kim WS. Sex-specific lipid dysregulation in the Abca7 knockout mouse brain. Brain Commun 2022; 4:fcac120. [PMID: 35620166 PMCID: PMC9127619 DOI: 10.1093/braincomms/fcac120] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Revised: 02/06/2022] [Accepted: 05/09/2022] [Indexed: 11/12/2022] Open
Abstract
Alzheimer's disease is a devastating neurodegenerative disease that affects more women than men. The pathomechanism underlying the sex disparity, especially in the brain, is unclear. ABCA7 is one of the strongest susceptibility genes for Alzheimer's disease. It mediates the transport of lipids across membranes and is associated with pathways related to amyloid-β neuropathology. However, the role of ABCA7 in the regulation of brain lipids is largely unknown. Sex-specific differences in the pathological link between brain lipid dysregulation and amyloid-β are also unknown. Here, we undertook quantitative discovery lipidomics of male and female Abca7 knockout (n = 52) and wild type (n = 35) mouse brain using sophisticated liquid chromatography/mass spectrometry. We identified 61 lipid subclasses in the mouse brain and found sex-specific differences in lipids that were altered with Abca7 deletion. The altered lipids belong to cellular pathways that control cell signalling, sterol metabolism, mitochondrial function and neuroprotection. We also investigated the relationship between lipids and amyloid-β levels in the Abca7 knockout mice and found elevated free cholesterol only in female mice that was significantly correlated with amyloid-β42 levels. In male Abca7 knockout mice, the neuroprotective ganglioside GD1a levels were elevated and inversely correlated with amyloid-β42 levels. Collectively, these results demonstrate that Abca7 deletion leads to sex-specific lipid dysregulation in the brain, providing insight into the underlying sex disparity in the aetiology of Alzheimer's disease.
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Affiliation(s)
- YuHong Fu
- Brain and Mind Centre, The University of Sydney, Sydney, NSW 2050, Australia
- Faculty of Medicine and Health, School of Medical Sciences, The University of Sydney, Sydney, NSW, Australia
| | - Ying He
- Brain and Mind Centre, The University of Sydney, Sydney, NSW 2050, Australia
- Faculty of Medicine and Health, School of Medical Sciences, The University of Sydney, Sydney, NSW, Australia
| | - Katherine Phan
- Brain and Mind Centre, The University of Sydney, Sydney, NSW 2050, Australia
- Faculty of Medicine and Health, School of Medical Sciences, The University of Sydney, Sydney, NSW, Australia
| | - Russell Pickford
- Bioanalytical Mass Spectrometry Facility, University of New South Wales, Sydney, NSW, Australia
| | - Young-Bum Kim
- Division of Endocrinology, Diabetes, and Metabolism, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA
| | - Nicolas Dzamko
- Brain and Mind Centre, The University of Sydney, Sydney, NSW 2050, Australia
- Faculty of Medicine and Health, School of Medical Sciences, The University of Sydney, Sydney, NSW, Australia
| | - Glenda M. Halliday
- Brain and Mind Centre, The University of Sydney, Sydney, NSW 2050, Australia
- Faculty of Medicine and Health, School of Medical Sciences, The University of Sydney, Sydney, NSW, Australia
- School of Medical Sciences, University of New South Wales & Neuroscience Research Australia, Sydney, NSW, Australia
| | - Woojin Scott Kim
- Brain and Mind Centre, The University of Sydney, Sydney, NSW 2050, Australia
- Faculty of Medicine and Health, School of Medical Sciences, The University of Sydney, Sydney, NSW, Australia
- School of Medical Sciences, University of New South Wales & Neuroscience Research Australia, Sydney, NSW, Australia
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50
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Bossaerts L, Cacace R, Van Broeckhoven C. The role of ATP-binding cassette subfamily A in the etiology of Alzheimer's disease. Mol Neurodegener 2022; 17:31. [PMID: 35477481 PMCID: PMC9044696 DOI: 10.1186/s13024-022-00536-w] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2021] [Accepted: 04/01/2022] [Indexed: 11/12/2022] Open
Abstract
Background Alzheimer’s disease (AD) is the leading cause of dementia, clinically characterized by memory deficits and progressive cognitive decline. Despite decades of research effective therapies are lacking, and a large part of the genetic heritability remains unidentified. ABCA7 and ABCA1, members of the ATP-binding cassette subfamily A (ABCA), were identified as AD risk genes in genome-wide association studies. Nevertheless, genetic and/or functional studies propose a link between AD and two other members of the ABCA subclass, i.e., ABCA2 and ABCA5. Main body Changes in expression or dysfunction of these transporters were found to increase amyloid β levels. This might be related to the common role of ABCA transporters in cellular cholesterol homeostasis, for which a prominent role in AD development has been suggested. In this review, we provide a comprehensive overview and discussion on the contribution of the ABCA subfamily to the etiopathogenesis of AD. Conclusions A better understanding of the function and identification of disease-associated genetic variants in ABCA transporters can contribute to the development of novel therapeutic strategies for AD.
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Affiliation(s)
- Liene Bossaerts
- Neurodegenerative Brain Diseases Group, VIB Center for Molecular Neurology, Antwerp, Belgium
| | - Rita Cacace
- Neurodegenerative Brain Diseases Group, VIB Center for Molecular Neurology, Antwerp, Belgium
| | - Christine Van Broeckhoven
- Neurodegenerative Brain Diseases Group, VIB Center for Molecular Neurology, Antwerp, Belgium. .,Department of Biomedical Sciences, University of Antwerp - CDE, Universiteitsplein 1, B-2610, Antwerp, Belgium.
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