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Dourlen P, Kilinc D, Landrieu I, Chapuis J, Lambert JC. BIN1 and Alzheimer's disease: the tau connection. Trends Neurosci 2025:S0166-2236(25)00059-1. [PMID: 40268578 DOI: 10.1016/j.tins.2025.03.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2024] [Revised: 03/06/2025] [Accepted: 03/16/2025] [Indexed: 04/25/2025]
Abstract
Bridging integrator 1 (BIN1) is a ubiquitously expressed protein that plays a critical role in endocytosis, trafficking and cytoskeletal dynamics. In 2010, BIN1 gene was reported as a major genetic risk factor for Alzheimer's disease (AD), which shifted the focus on its physiological and pathophysiological roles in the brain (at a time when data available were scarce). In this review, we discuss the multiple cerebral roles of BIN1, especially in regulating synaptic function, and the strong link between BIN1 and tau pathology, supported by recent evidence ranging from genetic and clinical/postmortem observations to molecular interactions.
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Affiliation(s)
- Pierre Dourlen
- Univ Lille, Inserm, CHU Lille, Institut Pasteur de Lille, U1167 - RID-AGE - Risk factors and molecular determinants of aging-related diseases, Institut Pasteur de Lille, Université de Lille, Lille, France
| | - Devrim Kilinc
- Univ Lille, Inserm, CHU Lille, Institut Pasteur de Lille, U1167 - RID-AGE - Risk factors and molecular determinants of aging-related diseases, Institut Pasteur de Lille, Université de Lille, Lille, France
| | - Isabelle Landrieu
- Univ Lille, Inserm, CHU Lille, Institut Pasteur de Lille, U1167 - RID-AGE - Risk factors and molecular determinants of aging-related diseases, Institut Pasteur de Lille, Université de Lille, Lille, France; CNRS EMR9002-BSI-Integrative Structural Biology, Lille, France
| | - Julien Chapuis
- Univ Lille, Inserm, CHU Lille, Institut Pasteur de Lille, U1167 - RID-AGE - Risk factors and molecular determinants of aging-related diseases, Institut Pasteur de Lille, Université de Lille, Lille, France
| | - Jean-Charles Lambert
- Univ Lille, Inserm, CHU Lille, Institut Pasteur de Lille, U1167 - RID-AGE - Risk factors and molecular determinants of aging-related diseases, Institut Pasteur de Lille, Université de Lille, Lille, France.
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Cho M, Chaudhuri S, Liu S, Park T, Huang Y, Rosewood T, Bice PJ, Saykin AJ, Won H, Nho K. Functional insight into East Asian-specific genetic risk loci for Alzheimer's disease. Alzheimers Dement 2025; 21:e14553. [PMID: 39991798 PMCID: PMC11848548 DOI: 10.1002/alz.14553] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2024] [Revised: 12/19/2024] [Accepted: 12/25/2024] [Indexed: 02/25/2025]
Abstract
INTRODUCTION The functional study of genetic risk factors for Alzheimer's disease (AD) provides insights into the underlying mechanisms and identification of potential therapeutic targets. Investigating AD-associated genetic loci identified in East Asian populations using single-nucleus RNA-sequencing data may identify novel functional genetic contributors. METHODS Cell type-specific expression quantitative trait loci (eQTL) and peak-to-gene links were used to identify functional genes associated with 26 genetic loci from seven genome-wide association studies (GWAS) for AD in East Asians. RESULTS KCNJ6 and MAPK1IP1L were identified as significant eQTLs with AD risk loci. AD risk loci were in peaks related to four genes, with CLIC4 being connected across different cell types. Genes identified in European and East Asian GWAS interacted within networks and were enriched in AD pathology pathways in astrocytes. DISCUSSION Our findings suggest KCNJ6 and CLIC4 as novel AD-associated functional genes, providing insight into the genetic architecture of AD in East Asians. HIGHLIGHTS Integrated functional analysis of Alzheimer's disease (AD) loci in seven East Asian genome-wide association studies (GWAS) was performed. Cell type-specific expression quantitative trait loci (eQTLs) and assay for transposase-accessible chromatin peaks were used to identify AD functional genes. An AD risk variant was linked to KCNJ6 through an oligodendrocyte progenitor cell-specific eQTL. An AD risk variant maps to open chromatin, linked to CLIC4 across six cell types. Astrocyte differentially expressed genes by AD pathology are enriched in East Asian and European GWAS genes.
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Affiliation(s)
- Minyoung Cho
- Center for NeuroimagingDepartment of Radiology and Imaging SciencesIndiana University School of MedicineIndianapolisIndianaUSA
- Indiana Alzheimer's Disease Research CenterIndiana University School of MedicineIndianapolisIndianaUSA
- Department of Digital HealthSamsung Advanced Institute for Health Sciences & Technology (SAIHST)Sungkyunkwan UniversitySeoulSouth Korea
| | - Soumilee Chaudhuri
- Center for NeuroimagingDepartment of Radiology and Imaging SciencesIndiana University School of MedicineIndianapolisIndianaUSA
- Indiana Alzheimer's Disease Research CenterIndiana University School of MedicineIndianapolisIndianaUSA
- Medical Neuroscience Graduate ProgramStark Neurosciences Research InstituteIndiana University School of MedicineIndianapolisIndianaUSA
| | - Shiwei Liu
- Center for NeuroimagingDepartment of Radiology and Imaging SciencesIndiana University School of MedicineIndianapolisIndianaUSA
- Indiana Alzheimer's Disease Research CenterIndiana University School of MedicineIndianapolisIndianaUSA
| | - Tamina Park
- Center for NeuroimagingDepartment of Radiology and Imaging SciencesIndiana University School of MedicineIndianapolisIndianaUSA
- Indiana Alzheimer's Disease Research CenterIndiana University School of MedicineIndianapolisIndianaUSA
| | - Yen‐Ning Huang
- Center for NeuroimagingDepartment of Radiology and Imaging SciencesIndiana University School of MedicineIndianapolisIndianaUSA
- Indiana Alzheimer's Disease Research CenterIndiana University School of MedicineIndianapolisIndianaUSA
| | - Thea Rosewood
- Center for NeuroimagingDepartment of Radiology and Imaging SciencesIndiana University School of MedicineIndianapolisIndianaUSA
- Indiana Alzheimer's Disease Research CenterIndiana University School of MedicineIndianapolisIndianaUSA
| | - Paula J. Bice
- Center for NeuroimagingDepartment of Radiology and Imaging SciencesIndiana University School of MedicineIndianapolisIndianaUSA
| | - Andrew J. Saykin
- Center for NeuroimagingDepartment of Radiology and Imaging SciencesIndiana University School of MedicineIndianapolisIndianaUSA
- Indiana Alzheimer's Disease Research CenterIndiana University School of MedicineIndianapolisIndianaUSA
- Medical Neuroscience Graduate ProgramStark Neurosciences Research InstituteIndiana University School of MedicineIndianapolisIndianaUSA
- Department of Medical and Molecular GeneticsIndiana University School of MedicineIndianapolisIndianaUSA
| | - Hong‐Hee Won
- Department of Digital HealthSamsung Advanced Institute for Health Sciences & Technology (SAIHST)Sungkyunkwan UniversitySeoulSouth Korea
- Samsung Genome InstituteSamsung Medical CenterSeoulSouth Korea
| | - Kwangsik Nho
- Center for NeuroimagingDepartment of Radiology and Imaging SciencesIndiana University School of MedicineIndianapolisIndianaUSA
- Indiana Alzheimer's Disease Research CenterIndiana University School of MedicineIndianapolisIndianaUSA
- School of Informatics and ComputingIndiana UniversityIndianapolisIndianaUSA
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Chacón T, Hernández HG. DNA methylation in peripheral blood leukocytes in late onset Alzheimer's disease. J Alzheimers Dis Rep 2025; 9:25424823251341176. [PMID: 40343304 PMCID: PMC12059436 DOI: 10.1177/25424823251341176] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2024] [Accepted: 04/16/2025] [Indexed: 05/11/2025] Open
Abstract
Background Chronic systemic inflammation is implicated in Alzheimer's disease (AD) pathogenesis and has measurable effects on blood cells. There is increasing interest in non-invasive diagnostic tools that use blood-based biomarkers for AD, such as DNA methylation. Notably, DNA methylation changes in blood are also linked to systemic inflammation. The evaluation of DNA methylation profiles in peripheral blood leukocytes as potential biomarkers for AD is promising. Objective To determine DNA methylation patterns in blood for AD, and to explore specific blood CpG sites that act as surrogates for brain-tissue methylation. Methods DNA methylation data from peripheral blood leukocytes of AD patients and controls were obtained from the Gene Expression Omnibus (GSE59685 and GSE53740). Differential methylation analysis was performed for individual CpGs Differentially methylated positions (DMPs) and regions with multiple probes (DMRs) and the intersection analysis of DMPs and DMRs was conducted. Functional enrichment analysis highlights relevant biological processes. Furthermore, previously validated specific CpGs used as surrogate of brain tissue were explored. Results DNA methylation patterns included BTBD3, PGPEP1L, DUSP29, and MIB2 top genes ordered by statistical significance were found in the intersection of DMP and DMR. Differential methylation analyses revealed differentially methylated genes including HOXA-AS3, HOXA6, CACNA1A, KMT5A, MIDEAS, FAM234A, and KATNBL1P6. Gene enrichment analysis showed immune processes and intracellular signaling disruptions. Surrogate genes from brain found differentially methylated were PCDHGB1-3 and PCDHGA1-6. Conclusions This study identified DNA methylation patterns in peripheral blood leukocytes as potential biomarkers for AD. These findings offer insights into epigenetic mechanisms associated with systemic peripheral inflammation in AD.
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Affiliation(s)
- Tatiana Chacón
- Dentistry Faculty, Universidad Santo Tomas, Bucaramanga, Colombia
- Health Faculty, Universidad Autónoma de Manizales, Antigua Estación del Ferrocarril, Manizales, Colombia
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Kang M, Farrell JJ, Zhu C, Park H, Kang S, Seo EH, Choi KY, Jun GR, Won S, Gim J, Lee KH, Farrer LA. Whole-genome sequencing study in Koreans identifies novel loci for Alzheimer's disease. Alzheimers Dement 2024; 20:8246-8262. [PMID: 39428694 DOI: 10.1002/alz.14128] [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: 01/31/2024] [Revised: 06/06/2024] [Accepted: 06/18/2024] [Indexed: 10/22/2024]
Abstract
INTRODUCTION The genetic basis of Alzheimer's disease (AD) in Koreans is poorly understood. METHODS We performed an AD genome-wide association study using whole-genome sequence data from 3540 Koreans (1583 AD cases, 1957 controls) and single-nucleotide polymorphism array data from 2978 Japanese (1336 AD cases, 1642 controls). Significant findings were evaluated by pathway enrichment and differential gene expression analysis in brain tissue from controls and AD cases with and without dementia prior to death. RESULTS We identified genome-wide significant associations with APOE in the total sample and ROCK2 (rs76484417, p = 2.71×10-8) among APOE ε4 non-carriers. A study-wide significant association was found with aggregated rare variants in MICALL1 (MICAL like 1) (p = 9.04×10-7). Several novel AD-associated genes, including ROCK2 and MICALL1, were differentially expressed in AD cases compared to controls (p < 3.33×10-3). ROCK2 was also differentially expressed between AD cases with and without dementia (p = 1.34×10-4). DISCUSSION Our results provide insight into genetic mechanisms leading to AD and cognitive resilience in East Asians. HIGHLIGHTS Novel genome-wide significant associations for AD identified with ROCK2 and MICALL1. ROCK2 and MICALL1 are differentially expressed between AD cases and controls in the brain. This is the largest whole-genome-sequence study of AD in an East Asian population.
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Affiliation(s)
- Moonil Kang
- Department of Medicine (Biomedical Genetics), Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts, USA
| | - John J Farrell
- Department of Medicine (Biomedical Genetics), Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts, USA
| | - Congcong Zhu
- Department of Medicine (Biomedical Genetics), Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts, USA
| | - Hyeonseul Park
- Department of Integrative Biological Sciences, Chosun University, Gwangju, Republic of Korea
| | - Sarang Kang
- Gwangju Alzheimer's and Related Dementia (GARD) Cohort Research Center, Chosun University, Dong-gu, Gwangju, Republic of Korea
| | - Eun Hyun Seo
- Gwangju Alzheimer's and Related Dementia (GARD) Cohort Research Center, Chosun University, Dong-gu, Gwangju, Republic of Korea
- Premedical Science, College of Medicine, Chosun University, Dong-gu, Gwangju, Republic of Korea
| | - Kyu Yeong Choi
- Gwangju Alzheimer's and Related Dementia (GARD) Cohort Research Center, Chosun University, Dong-gu, Gwangju, Republic of Korea
- Kolab Inc., Dong-gu, Gwangju, Republic of Korea
| | - Gyungah R Jun
- Department of Medicine (Biomedical Genetics), Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts, USA
- Department of Ophthalmology, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, USA
- Alzheimer's Disease Research Center, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts, USA
| | - Sungho Won
- Institute of Health and Environment, Seoul National University, Gwanak-gu, Seoul, Republic of Korea
- Department of Public Health Sciences, Graduate School of Public Health, Seoul National University, Gwanak-gu, Seoul, Republic of Korea
- RexSoft Corps, Gwanak-gu, Seoul, Republic of Korea
| | - Jungsoo Gim
- Department of Integrative Biological Sciences, Chosun University, Gwangju, Republic of Korea
- Gwangju Alzheimer's and Related Dementia (GARD) Cohort Research Center, Chosun University, Dong-gu, Gwangju, Republic of Korea
- Department of Biomedical Science, Chosun University, Dong-gu, Gwangju, Republic of Korea
- Well-ageing Medicare Institute, Chosun University, Dong-gu, Gwangju, Republic of Korea
| | - Kun Ho Lee
- Department of Integrative Biological Sciences, Chosun University, Gwangju, Republic of Korea
- Gwangju Alzheimer's and Related Dementia (GARD) Cohort Research Center, Chosun University, Dong-gu, Gwangju, Republic of Korea
- Department of Biomedical Science, Chosun University, Dong-gu, Gwangju, Republic of Korea
- Korea Brain Research Institute, Dong-gu, Daegu, Republic of Korea
| | - Lindsay A Farrer
- Department of Medicine (Biomedical Genetics), Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts, USA
- Department of Ophthalmology, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, USA
- Alzheimer's Disease Research Center, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts, USA
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts, USA
- Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts, USA
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Fanlo-Ucar H, Picón-Pagès P, Herrera-Fernández V, ILL-Raga G, Muñoz FJ. The Dual Role of Amyloid Beta-Peptide in Oxidative Stress and Inflammation: Unveiling Their Connections in Alzheimer's Disease Etiopathology. Antioxidants (Basel) 2024; 13:1208. [PMID: 39456461 PMCID: PMC11505517 DOI: 10.3390/antiox13101208] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2024] [Revised: 10/03/2024] [Accepted: 10/05/2024] [Indexed: 10/28/2024] Open
Abstract
Alzheimer's disease (AD) is a progressive neurodegenerative disease, and it is currently the seventh leading cause of death worldwide. It is characterized by the extracellular aggregation of the amyloid β-peptide (Aβ) into oligomers and fibrils that cause synaptotoxicity and neuronal death. Aβ exhibits a dual role in promoting oxidative stress and inflammation. This review aims to unravel the intricate connection between these processes and their contribution to AD progression. The review delves into oxidative stress in AD, focusing on the involvement of metals, mitochondrial dysfunction, and biomolecule oxidation. The distinct yet overlapping concept of nitro-oxidative stress is also discussed, detailing the roles of nitric oxide, mitochondrial perturbations, and their cumulative impact on Aβ production and neurotoxicity. Inflammation is examined through astroglia and microglia function, elucidating their response to Aβ and their contribution to oxidative stress within the AD brain. The blood-brain barrier and oligodendrocytes are also considered in the context of AD pathophysiology. We also review current diagnostic methodologies and emerging therapeutic strategies aimed at mitigating oxidative stress and inflammation, thereby offering potential treatments for halting or slowing AD progression. This comprehensive synthesis underscores the pivotal role of Aβ in bridging oxidative stress and inflammation, advancing our understanding of AD and informing future research and treatment paradigms.
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Affiliation(s)
- Hugo Fanlo-Ucar
- Laboratory of Molecular Physiology, Department of Medicine and Life Sciences, Faculty of Medicine and Life Sciences, Universitat Pompeu Fabra, 08003 Barcelona, Spain; (H.F.-U.); (P.P.-P.); (V.H.-F.); (G.I.-R.)
| | - Pol Picón-Pagès
- Laboratory of Molecular Physiology, Department of Medicine and Life Sciences, Faculty of Medicine and Life Sciences, Universitat Pompeu Fabra, 08003 Barcelona, Spain; (H.F.-U.); (P.P.-P.); (V.H.-F.); (G.I.-R.)
- Laboratory of Molecular and Cellular Neurobiotechnology, Institute of Bioengineering of Catalonia (IBEC), 08028 Barcelona, Spain
- Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), 08028 Barcelona, Spain
| | - Víctor Herrera-Fernández
- Laboratory of Molecular Physiology, Department of Medicine and Life Sciences, Faculty of Medicine and Life Sciences, Universitat Pompeu Fabra, 08003 Barcelona, Spain; (H.F.-U.); (P.P.-P.); (V.H.-F.); (G.I.-R.)
| | - Gerard ILL-Raga
- Laboratory of Molecular Physiology, Department of Medicine and Life Sciences, Faculty of Medicine and Life Sciences, Universitat Pompeu Fabra, 08003 Barcelona, Spain; (H.F.-U.); (P.P.-P.); (V.H.-F.); (G.I.-R.)
| | - Francisco J. Muñoz
- Laboratory of Molecular Physiology, Department of Medicine and Life Sciences, Faculty of Medicine and Life Sciences, Universitat Pompeu Fabra, 08003 Barcelona, Spain; (H.F.-U.); (P.P.-P.); (V.H.-F.); (G.I.-R.)
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Jonson C, Levine KS, Lake J, Hertslet L, Jones L, Patel D, Kim J, Bandres‐Ciga S, Terry N, Mata IF, Blauwendraat C, Singleton AB, Nalls MA, Yokoyama JS, Leonard HL. Assessing the lack of diversity in genetics research across neurodegenerative diseases: A systematic review of the GWAS Catalog and literature. Alzheimers Dement 2024; 20:5740-5756. [PMID: 39030740 PMCID: PMC11350004 DOI: 10.1002/alz.13873] [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: 01/19/2024] [Revised: 04/10/2024] [Accepted: 04/11/2024] [Indexed: 07/22/2024]
Abstract
The under-representation of non-European cohorts in neurodegenerative disease genome-wide association studies (GWAS) hampers precision medicine efforts. Despite the inherent genetic and phenotypic diversity in these diseases, GWAS research consistently exhibits a disproportionate emphasis on participants of European ancestry. This study reviews GWAS up to 2022, focusing on non-European or multi-ancestry neurodegeneration studies. We conducted a systematic review of GWAS results and publications up to 2022, focusing on non-European or multi-ancestry neurodegeneration studies. Rigorous article inclusion and quality assessment methods were employed. Of 123 neurodegenerative disease (NDD) GWAS reviewed, 82% predominantly featured European ancestry participants. A single European study identified over 90 risk loci, compared to a total of 50 novel loci in identified in all non-European or multi-ancestry studies. Notably, only six of the loci have been replicated. The significant under-representation of non-European ancestries in NDD GWAS hinders comprehensive genetic understanding. Prioritizing genomic diversity in future research is crucial for advancing NDD therapies and understanding. HIGHLIGHTS: Eighty-two percent of neurodegenerative genome-wide association studies (GWAS) focus on Europeans. Only 6 of 50 novel neurodegenerative disease (NDD) genetic loci have been replicated. Lack of diversity significantly hampers understanding of NDDs. Increasing diversity in NDD genetic research is urgently required. New initiatives are aiming to enhance diversity in NDD research.
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Affiliation(s)
- Caroline Jonson
- Center for Alzheimer's and Related DementiasNational Institutes of HealthBethesdaMarylandUSA
- DataTecnica LLCWashingtonDistrict of ColumbiaUSA
- Pharmaceutical Sciences and Pharmacogenomics Graduate ProgramUniversity of CaliforniaSan FranciscoCaliforniaUSA
- Memory and Aging CenterDepartment of NeurologyWeill Institute for NeurosciencesUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Kristin S. Levine
- Center for Alzheimer's and Related DementiasNational Institutes of HealthBethesdaMarylandUSA
- DataTecnica LLCWashingtonDistrict of ColumbiaUSA
| | - Julie Lake
- Center for Alzheimer's and Related DementiasNational Institutes of HealthBethesdaMarylandUSA
- Laboratory of NeurogeneticsNational Institutes on AgingNational Institutes of HealthBethesdaMarylandUSA
| | - Linnea Hertslet
- Center for Alzheimer's and Related DementiasNational Institutes of HealthBethesdaMarylandUSA
| | - Lietsel Jones
- Center for Alzheimer's and Related DementiasNational Institutes of HealthBethesdaMarylandUSA
- DataTecnica LLCWashingtonDistrict of ColumbiaUSA
| | - Dhairya Patel
- Integrative Neurogenomics UnitLaboratory of NeurogeneticsNational Institute on AgingNational Institutes of HealthBethesdaMarylandUSA
| | - Jeff Kim
- Center for Alzheimer's and Related DementiasNational Institutes of HealthBethesdaMarylandUSA
- Laboratory of NeurogeneticsNational Institutes on AgingNational Institutes of HealthBethesdaMarylandUSA
| | - Sara Bandres‐Ciga
- Center for Alzheimer's and Related DementiasNational Institutes of HealthBethesdaMarylandUSA
| | - Nancy Terry
- Division of Library ServicesOffice of Research ServicesNational Institutes of HealthBethesdaMarylandUSA
| | - Ignacio F. Mata
- Genomic Medicine Institute, Lerner Research Institute, Genomic MedicineCleveland Clinic FoundationClevelandOhioUSA
| | - Cornelis Blauwendraat
- Center for Alzheimer's and Related DementiasNational Institutes of HealthBethesdaMarylandUSA
- Integrative Neurogenomics UnitLaboratory of NeurogeneticsNational Institute on AgingNational Institutes of HealthBethesdaMarylandUSA
| | - Andrew B. Singleton
- Center for Alzheimer's and Related DementiasNational Institutes of HealthBethesdaMarylandUSA
- Laboratory of NeurogeneticsNational Institutes on AgingNational Institutes of HealthBethesdaMarylandUSA
| | - Mike A. Nalls
- Center for Alzheimer's and Related DementiasNational Institutes of HealthBethesdaMarylandUSA
- DataTecnica LLCWashingtonDistrict of ColumbiaUSA
- Laboratory of NeurogeneticsNational Institutes on AgingNational Institutes of HealthBethesdaMarylandUSA
| | - Jennifer S. Yokoyama
- Pharmaceutical Sciences and Pharmacogenomics Graduate ProgramUniversity of CaliforniaSan FranciscoCaliforniaUSA
- Memory and Aging CenterDepartment of NeurologyWeill Institute for NeurosciencesUniversity of CaliforniaSan FranciscoCaliforniaUSA
- Department of Radiology and Biomedical ImagingUniversity of California, San FranciscoSan FranciscoCaliforniaUSA
| | - Hampton L. Leonard
- Center for Alzheimer's and Related DementiasNational Institutes of HealthBethesdaMarylandUSA
- DataTecnica LLCWashingtonDistrict of ColumbiaUSA
- Laboratory of NeurogeneticsNational Institutes on AgingNational Institutes of HealthBethesdaMarylandUSA
- German Center for Neurodegenerative Diseases (DZNE)TübingenGermany
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Sato S, Hatakeyama N, Fujikoshi S, Katayama S, Katagiri H, Sims JR. Donanemab in Japanese Patients with Early Alzheimer's Disease: Subpopulation Analysis of the TRAILBLAZER-ALZ 2 Randomized Trial. Neurol Ther 2024; 13:677-695. [PMID: 38581616 PMCID: PMC11136931 DOI: 10.1007/s40120-024-00604-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Accepted: 03/14/2024] [Indexed: 04/08/2024] Open
Abstract
INTRODUCTION Donanemab, a monoclonal antibody directed against an insoluble, modified, N-terminal truncated form of amyloid beta, demonstrated efficacy and safety in patients with early, symptomatic Alzheimer's disease (AD) in the phase 3 TRAILBLAZER-ALZ 2 trial. Here, we report clinical outcomes, biomarkers, and safety results for the Japanese subpopulation. METHODS TRAILBLAZER-ALZ 2 (N = 1736) was conducted in eight countries, including Japan (enrollment June 2020-November 2021; database lock April 2023). Participants (60-85 years) with early, symptomatic AD (mild cognitive impairment/mild dementia), Mini-Mental State Examination score 20-28, and confirmed amyloid and tau pathology were randomized 1:1 (stratified by tau status) to intravenous donanemab (700 mg for three doses, then 1400 mg/dose) or placebo every 4 weeks for 72 weeks. Primary outcome was change from baseline to week 76 in integrated Alzheimer's Disease Rating Scale (iADRS) score. Other outcomes included clinical measures of cognitive and functional impairment, biomarkers, and safety. RESULTS Of 88 Japanese participants (43 placebo, 45 donanemab), 7 in each group discontinued. Least-squares mean (LSM) change from baseline in iADRS score at week 76 was smaller with donanemab than with placebo in the combined (low-medium tau and high tau) and low-medium tau (N = 76) subpopulations (LSM change difference: 4.43 and 3.99, representing 38.8% and 40.2% slowing of disease progression, respectively). Slowing of AD progression with donanemab was also observed for other clinical outcomes. Marked decreases in amyloid plaque and plasma phosphorylated tau 217 were observed; amyloid clearance (< 24.1 Centiloids) was observed in 83.3% of the combined donanemab and 0% of the combined placebo groups. Amyloid-related imaging abnormalities of edema/effusions occurred in ten (22.2%) donanemab-treated participants (one [2.2%] symptomatic) and one (2.3%) placebo-treated participant. CONCLUSIONS The overall efficacy and safety of donanemab in Japanese participants were similar to the global TRAILBLAZER-ALZ 2 population. TRIAL REGISTRATION ClinicalTrials.gov identifier: NCT04437511.
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Affiliation(s)
- Shoichiro Sato
- Japan Drug Development and Medical Affairs, Eli Lilly Japan K.K., 5-1-28, Isogamidori, Chuo-Ku, Kobe, 651-0086, Japan.
| | - Naohisa Hatakeyama
- Japan Drug Development and Medical Affairs, Eli Lilly Japan K.K., 5-1-28, Isogamidori, Chuo-Ku, Kobe, 651-0086, Japan
| | - Shinji Fujikoshi
- Japan Drug Development and Medical Affairs, Eli Lilly Japan K.K., 5-1-28, Isogamidori, Chuo-Ku, Kobe, 651-0086, Japan
| | | | - Hideaki Katagiri
- Japan Drug Development and Medical Affairs, Eli Lilly Japan K.K., 5-1-28, Isogamidori, Chuo-Ku, Kobe, 651-0086, Japan
| | - John R Sims
- Eli Lilly and Company, Indianapolis, IN, USA
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Roy S, Kang S, Choi KY, Lee KH, Shin KS, Kang JY. Implementation of an ultra-sensitive microwell-based electrochemical sensor for the detection of Alzheimer's disease. Biosens Bioelectron 2024; 247:115898. [PMID: 38104391 DOI: 10.1016/j.bios.2023.115898] [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: 08/31/2023] [Revised: 11/24/2023] [Accepted: 11/27/2023] [Indexed: 12/19/2023]
Abstract
Alzheimer's Disease (AD) is one of the most common neurodegenerative disorders in elderly people. It is diagnosed by detecting amyloid beta (Aβ) protein in cerebrospinal fluid (CSF) obtained by lumbar puncture or through expensive positron emission tomography (PET) imaging. Although blood-based diagnosis of AD offers a less invasive and cost-effective alternative, the quantification of Aβ is technically challenging due to its low abundance in peripheral blood. To address this, we developed a compact yet highly sensitive microwell-based electrochemical sensor with a densely packed microelectrode array (20 by 20) for enhancing sensitivity. Employing microwells on the working and counter electrodes minimized the leakage current from the metallic conductors into the assay medium, refining the signal fidelity. We achieved a detection limit <10 fg/mL for Aβ by elevating the signal-to-noise ratio, thus capable of AD biomarker quantification. Moreover, the microwell structure maintained the performance irrespective of variations in bead number, indicative of the sensor's robustness. The sensor's efficacy was validated through the analysis of Aβ concentrations in plasma samples from 96 subjects, revealing a significant distinction between AD patients and healthy controls with an area under the receiver operating characteristic curve (AUC) of 0.85. Consequently, our novel microwell-based electrochemical biosensor represents a highly sensitive platform for detecting scant blood-based biomarkers, including Aβ, offering substantial potential for advancing AD diagnostics.
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Affiliation(s)
- Soumi Roy
- Brain Science Institute, Biomedical Engineering, Korea Institute of Science and Technology, KIST School, Seoul, 02792, Republic of Korea; Department of Biomedical Engineering, University of Science and Technology, Daejeon, Republic of Korea
| | - Sarang Kang
- Gwangju Alzheimer's Disease and Related Dementia Cohort Research Center, Chosun University, Gwangju, 61452, Republic of Korea; BK21 FOUR Educational Research Group for Age-Associated Disorder Control Technology, Chosun University, Gwangju, 61452, Republic of Korea
| | - Kyu Yeong Choi
- Gwangju Alzheimer's Disease and Related Dementia Cohort Research Center, Chosun University, Gwangju, 61452, Republic of Korea; Kolab Inc., Gwangju, 61436, Republic of Korea
| | - Kun Ho Lee
- Gwangju Alzheimer's Disease and Related Dementia Cohort Research Center, Chosun University, Gwangju, 61452, Republic of Korea; Department of Biomedical Science, Chosun University, Gwangju, 61452, Republic of Korea; Korea Brain Research Institute, Daegu, 41062, Republic of Korea
| | | | - Ji Yoon Kang
- Brain Science Institute, Biomedical Engineering, Korea Institute of Science and Technology, KIST School, Seoul, 02792, Republic of Korea; Department of Biomedical Engineering, University of Science and Technology, Daejeon, Republic of Korea.
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9
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Locskai LF, Alyenbaawi H, Allison WT. Antiepileptic Drugs as Potential Dementia Prophylactics Following Traumatic Brain Injury. Annu Rev Pharmacol Toxicol 2024; 64:577-598. [PMID: 37788493 DOI: 10.1146/annurev-pharmtox-051921-013930] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/05/2023]
Abstract
Seizures and other forms of neurovolatility are emerging as druggable prodromal mechanisms that link traumatic brain injury (TBI) to the progression of later dementias. TBI neurotrauma has both acute and long-term impacts on health, and TBI is a leading risk factor for dementias, including chronic traumatic encephalopathy and Alzheimer's disease. Treatment of TBI already considers acute management of posttraumatic seizures and epilepsy, and impressive efforts have optimized regimens of antiepileptic drugs (AEDs) toward that goal. Here we consider that expanding these management strategies could determine which AED regimens best prevent dementia progression in TBI patients. Challenges with this prophylactic strategy include the potential consequences of prolonged AED treatment and that a large subset of patients are refractory to available AEDs. Addressing these challenges is warranted because the management of seizure activity following TBI offers a rare opportunity to prevent the onset or progression of devastating dementias.
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Affiliation(s)
- Laszlo F Locskai
- Centre for Prions and Protein Folding Diseases and Department of Biological Sciences, University of Alberta, Edmonton, Alberta, Canada;
| | - Hadeel Alyenbaawi
- Department of Medical Laboratory Sciences, College of Applied Medical Sciences, Majmaah University, Al Majmaah, Saudi Arabia
| | - W Ted Allison
- Centre for Prions and Protein Folding Diseases and Department of Biological Sciences, University of Alberta, Edmonton, Alberta, Canada;
- Department of Medical Genetics, University of Alberta, Edmonton, Alberta, Canada
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10
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Jonson C, Levine KS, Lake J, Hertslet L, Jones L, Patel D, Kim J, Bandres-Ciga S, Terry N, Mata IF, Blauwendraat C, Singleton AB, Nalls MA, Yokoyama JS, Leonard HL. Assessing the lack of diversity in genetics research across neurodegenerative diseases: a systematic review of the GWAS Catalog and literature. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.01.08.24301007. [PMID: 38260595 PMCID: PMC10802650 DOI: 10.1101/2024.01.08.24301007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/24/2024]
Abstract
Importance The under-representation of participants with non-European ancestry in genome-wide association studies (GWAS) is a critical issue that has significant implications, including hindering the progress of precision medicine initiatives. This issue is particularly significant in the context of neurodegenerative diseases (NDDs), where current therapeutic approaches have shown limited success. Addressing this under-representation is crucial to harnessing the full potential of genomic medicine in underserved communities and improving outcomes for NDD patients. Objective Our primary objective was to assess the representation of non-European ancestry participants in genetic discovery efforts related to NDDs. We aimed to quantify the extent of inclusion of diverse ancestry groups in NDD studies and determine the number of associated loci identified in more inclusive studies. Specifically, we sought to highlight the disparities in research efforts and outcomes between studies predominantly involving European ancestry participants and those deliberately targeting non-European or multi-ancestry populations across NDDs. Evidence Review We conducted a systematic review utilizing existing GWAS results and publications to assess the inclusion of diverse ancestry groups in neurodegeneration and neurogenetics studies. Our search encompassed studies published up to the end of 2022, with a focus on identifying research that deliberately included non-European or multi-ancestry cohorts. We employed rigorous methods for the inclusion of identified articles and quality assessment. Findings Our review identified a total of 123 NDD GWAS. Strikingly, 82% of these studies predominantly featured participants of European ancestry. Endeavors specifically targeting non-European or multi-ancestry populations across NDDs identified only 52 risk loci. This contrasts with predominantly European studies, which reported over 90 risk loci for a single disease. Encouragingly, over 65% of these discoveries occurred in 2020 or later, indicating a recent increase in studies deliberately including non-European cohorts. Conclusions and relevance Our findings underscore the pressing need for increased diversity in neurodegenerative research. The significant under-representation of non-European ancestry participants in NDD GWAS limits our understanding of the genetic underpinnings of these diseases. To advance the field of neurodegenerative research and develop more effective therapies, it is imperative that future investigations prioritize and harness the genomic diversity present within and across global populations.
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Affiliation(s)
- Caroline Jonson
- Center for Alzheimer’s and Related Dementias, National Institutes of Health, Bethesda, MD USA 20892
- DataTecnica LLC, Washington, DC USA 20037
- Pharmaceutical Sciences and Pharmacogenomics, UCSF, San Francisco, CA, USA
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA USA
| | - Kristin S. Levine
- Center for Alzheimer’s and Related Dementias, National Institutes of Health, Bethesda, MD USA 20892
- DataTecnica LLC, Washington, DC USA 20037
| | - Julie Lake
- Center for Alzheimer’s and Related Dementias, National Institutes of Health, Bethesda, MD USA 20892
- Laboratory of Neurogenetics, National Institutes on Aging, National Institutes of Health, Bethesda, MD USA 20892
| | - Linnea Hertslet
- Center for Alzheimer’s and Related Dementias, National Institutes of Health, Bethesda, MD USA 20892
| | - Lietsel Jones
- Center for Alzheimer’s and Related Dementias, National Institutes of Health, Bethesda, MD USA 20892
- DataTecnica LLC, Washington, DC USA 20037
| | - Dhairya Patel
- Integrative Neurogenomics Unit, Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
| | - Jeff Kim
- Center for Alzheimer’s and Related Dementias, National Institutes of Health, Bethesda, MD USA 20892
- Laboratory of Neurogenetics, National Institutes on Aging, National Institutes of Health, Bethesda, MD USA 20892
| | - Sara Bandres-Ciga
- Center for Alzheimer’s and Related Dementias, National Institutes of Health, Bethesda, MD USA 20892
| | - Nancy Terry
- Division of Library Services, Office of Research Services, National Institutes of Health, Bethesda, Maryland, U.S.A
| | - Ignacio F. Mata
- Genomic Medicine Institute, Lerner Research Institute, Genomic Medicine, Cleveland Clinic Foundation, Cleveland, Ohio, USA
| | - Cornelis Blauwendraat
- Center for Alzheimer’s and Related Dementias, National Institutes of Health, Bethesda, MD USA 20892
- Integrative Neurogenomics Unit, Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
| | - Andrew B. Singleton
- Center for Alzheimer’s and Related Dementias, National Institutes of Health, Bethesda, MD USA 20892
- Laboratory of Neurogenetics, National Institutes on Aging, National Institutes of Health, Bethesda, MD USA 20892
| | - Mike A. Nalls
- Center for Alzheimer’s and Related Dementias, National Institutes of Health, Bethesda, MD USA 20892
- DataTecnica LLC, Washington, DC USA 20037
- Laboratory of Neurogenetics, National Institutes on Aging, National Institutes of Health, Bethesda, MD USA 20892
| | - Jennifer S. Yokoyama
- Pharmaceutical Sciences and Pharmacogenomics, UCSF, San Francisco, CA, USA
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA USA
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA USA
| | - Hampton L. Leonard
- Center for Alzheimer’s and Related Dementias, National Institutes of Health, Bethesda, MD USA 20892
- DataTecnica LLC, Washington, DC USA 20037
- Laboratory of Neurogenetics, National Institutes on Aging, National Institutes of Health, Bethesda, MD USA 20892
- German Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany
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11
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Matveeva N, Kiselev I, Baulina N, Semina E, Kakotkin V, Agapov M, Kulakova O, Favorova O. Shared genetic architecture of COVID-19 and Alzheimer's disease. Front Aging Neurosci 2023; 15:1287322. [PMID: 37927339 PMCID: PMC10625425 DOI: 10.3389/fnagi.2023.1287322] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Accepted: 10/09/2023] [Indexed: 11/07/2023] Open
Abstract
The severe acute respiratory syndrome-related coronavirus 2 (SARS-CoV-2) and the сoronavirus disease 2019 (COVID-19) have become a global health threat. At the height of the pandemic, major efforts were focused on reducing COVID-19-associated morbidity and mortality. Now is the time to study the long-term effects of the pandemic, particularly cognitive impairment associated with long COVID. In recent years much attention has been paid to the possible relationship between COVID-19 and Alzheimer's disease, which is considered a main cause of age-related cognitive impairment. Genetic predisposition was shown for both COVID-19 and Alzheimer's disease. However, the analysis of the similarity of the genetic architecture of these diseases is usually limited to indicating a positive genetic correlation between them. In this review, we have described intrinsic linkages between COVID-19 and Alzheimer's disease, pointed out shared susceptibility genes that were previously identified in genome-wide association studies of both COVID-19 and Alzheimer's disease, and highlighted a panel of SNPs that includes candidate genetic risk markers of the long COVID-associated cognitive impairment.
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Affiliation(s)
- Natalia Matveeva
- Institute of Medicine and Life Science, Immanuel Kant Baltic Federal University, Kaliningrad, Russia
- Laboratory of Medical Genomics, Institute of Translational Medicine, Pirogov Russian National Research Medical University, Moscow, Russia
| | - Ivan Kiselev
- Institute of Medicine and Life Science, Immanuel Kant Baltic Federal University, Kaliningrad, Russia
- Laboratory of Medical Genomics, Institute of Translational Medicine, Pirogov Russian National Research Medical University, Moscow, Russia
| | - Natalia Baulina
- Institute of Medicine and Life Science, Immanuel Kant Baltic Federal University, Kaliningrad, Russia
- Laboratory of Medical Genomics, Institute of Translational Medicine, Pirogov Russian National Research Medical University, Moscow, Russia
| | - Ekaterina Semina
- Institute of Medicine and Life Science, Immanuel Kant Baltic Federal University, Kaliningrad, Russia
| | - Viktor Kakotkin
- Institute of Medicine and Life Science, Immanuel Kant Baltic Federal University, Kaliningrad, Russia
| | - Mikhail Agapov
- Institute of Medicine and Life Science, Immanuel Kant Baltic Federal University, Kaliningrad, Russia
| | - Olga Kulakova
- Institute of Medicine and Life Science, Immanuel Kant Baltic Federal University, Kaliningrad, Russia
- Laboratory of Medical Genomics, Institute of Translational Medicine, Pirogov Russian National Research Medical University, Moscow, Russia
| | - Olga Favorova
- Institute of Medicine and Life Science, Immanuel Kant Baltic Federal University, Kaliningrad, Russia
- Laboratory of Medical Genomics, Institute of Translational Medicine, Pirogov Russian National Research Medical University, Moscow, Russia
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12
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Sun N, Victor MB, Park YP, Xiong X, Scannail AN, Leary N, Prosper S, Viswanathan S, Luna X, Boix CA, James BT, Tanigawa Y, Galani K, Mathys H, Jiang X, Ng AP, Bennett DA, Tsai LH, Kellis M. Human microglial state dynamics in Alzheimer's disease progression. Cell 2023; 186:4386-4403.e29. [PMID: 37774678 PMCID: PMC10644954 DOI: 10.1016/j.cell.2023.08.037] [Citation(s) in RCA: 146] [Impact Index Per Article: 73.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2022] [Revised: 03/21/2023] [Accepted: 08/29/2023] [Indexed: 10/01/2023]
Abstract
Altered microglial states affect neuroinflammation, neurodegeneration, and disease but remain poorly understood. Here, we report 194,000 single-nucleus microglial transcriptomes and epigenomes across 443 human subjects and diverse Alzheimer's disease (AD) pathological phenotypes. We annotate 12 microglial transcriptional states, including AD-dysregulated homeostatic, inflammatory, and lipid-processing states. We identify 1,542 AD-differentially-expressed genes, including both microglia-state-specific and disease-stage-specific alterations. By integrating epigenomic, transcriptomic, and motif information, we infer upstream regulators of microglial cell states, gene-regulatory networks, enhancer-gene links, and transcription-factor-driven microglial state transitions. We demonstrate that ectopic expression of our predicted homeostatic-state activators induces homeostatic features in human iPSC-derived microglia-like cells, while inhibiting activators of inflammation can block inflammatory progression. Lastly, we pinpoint the expression of AD-risk genes in microglial states and differential expression of AD-risk genes and their regulators during AD progression. Overall, we provide insights underlying microglial states, including state-specific and AD-stage-specific microglial alterations at unprecedented resolution.
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Affiliation(s)
- Na Sun
- MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Matheus B Victor
- Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, USA; Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Yongjin P Park
- MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA; Department of Pathology and Laboratory Medicine, Department of Statistics, University of British Columbia, Vancouver, BC, Canada; Department of Molecular Oncology, BC Cancer, Vancouver, BC, Canada
| | - Xushen Xiong
- MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Aine Ni Scannail
- Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, USA; Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Noelle Leary
- Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, USA; Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Shaniah Prosper
- Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, USA; Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Soujanya Viswanathan
- Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, USA; Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Xochitl Luna
- Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, USA; Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Carles A Boix
- MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Benjamin T James
- MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Yosuke Tanigawa
- MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Kyriaki Galani
- MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Hansruedi Mathys
- Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, USA; Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA; Department of Neurobiology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15261, USA
| | - Xueqiao Jiang
- Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, USA; Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Ayesha P Ng
- Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, USA; Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - David A Bennett
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Li-Huei Tsai
- Broad Institute of MIT and Harvard, Cambridge, MA, USA; Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, USA; Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA.
| | - Manolis Kellis
- MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA.
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13
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Le Guen Y, Luo G, Ambati A, Damotte V, Jansen I, Yu E, Nicolas A, de Rojas I, Peixoto Leal T, Miyashita A, Bellenguez C, Lian MM, Parveen K, Morizono T, Park H, Grenier-Boley B, Naito T, Küçükali F, Talyansky SD, Yogeshwar SM, Sempere V, Satake W, Alvarez V, Arosio B, Belloy ME, Benussi L, Boland A, Borroni B, Bullido MJ, Caffarra P, Clarimon J, Daniele A, Darling D, Debette S, Deleuze JF, Dichgans M, Dufouil C, During E, Düzel E, Galimberti D, Garcia-Ribas G, García-Alberca JM, García-González P, Giedraitis V, Goldhardt O, Graff C, Grünblatt E, Hanon O, Hausner L, Heilmann-Heimbach S, Holstege H, Hort J, Jung YJ, Jürgen D, Kern S, Kuulasmaa T, Lee KH, Lin L, Masullo C, Mecocci P, Mehrabian S, de Mendonça A, Boada M, Mir P, Moebus S, Moreno F, Nacmias B, Nicolas G, Niida S, Nordestgaard BG, Papenberg G, Papma J, Parnetti L, Pasquier F, Pastor P, Peters O, Pijnenburg YAL, Piñol-Ripoll G, Popp J, Porcel LM, Puerta R, Pérez-Tur J, Rainero I, Ramakers I, Real LM, Riedel-Heller S, Rodriguez-Rodriguez E, Ross OA, Luís Royo J, Rujescu D, Scarmeas N, Scheltens P, Scherbaum N, Schneider A, Seripa D, Skoog I, Solfrizzi V, Spalletta G, Squassina A, van Swieten J, et alLe Guen Y, Luo G, Ambati A, Damotte V, Jansen I, Yu E, Nicolas A, de Rojas I, Peixoto Leal T, Miyashita A, Bellenguez C, Lian MM, Parveen K, Morizono T, Park H, Grenier-Boley B, Naito T, Küçükali F, Talyansky SD, Yogeshwar SM, Sempere V, Satake W, Alvarez V, Arosio B, Belloy ME, Benussi L, Boland A, Borroni B, Bullido MJ, Caffarra P, Clarimon J, Daniele A, Darling D, Debette S, Deleuze JF, Dichgans M, Dufouil C, During E, Düzel E, Galimberti D, Garcia-Ribas G, García-Alberca JM, García-González P, Giedraitis V, Goldhardt O, Graff C, Grünblatt E, Hanon O, Hausner L, Heilmann-Heimbach S, Holstege H, Hort J, Jung YJ, Jürgen D, Kern S, Kuulasmaa T, Lee KH, Lin L, Masullo C, Mecocci P, Mehrabian S, de Mendonça A, Boada M, Mir P, Moebus S, Moreno F, Nacmias B, Nicolas G, Niida S, Nordestgaard BG, Papenberg G, Papma J, Parnetti L, Pasquier F, Pastor P, Peters O, Pijnenburg YAL, Piñol-Ripoll G, Popp J, Porcel LM, Puerta R, Pérez-Tur J, Rainero I, Ramakers I, Real LM, Riedel-Heller S, Rodriguez-Rodriguez E, Ross OA, Luís Royo J, Rujescu D, Scarmeas N, Scheltens P, Scherbaum N, Schneider A, Seripa D, Skoog I, Solfrizzi V, Spalletta G, Squassina A, van Swieten J, Sánchez-Valle R, Tan EK, Tegos T, Teunissen C, Thomassen JQ, Tremolizzo L, Vyhnalek M, Verhey F, Waern M, Wiltfang J, Zhang J, Zetterberg H, Blennow K, He Z, Williams J, Amouyel P, Jessen F, Kehoe PG, Andreassen OA, Van Duin C, Tsolaki M, Sánchez-Juan P, Frikke-Schmidt R, Sleegers K, Toda T, Zettergren A, Ingelsson M, Okada Y, Rossi G, Hiltunen M, Gim J, Ozaki K, Sims R, Foo JN, van der Flier W, Ikeuchi T, Ramirez A, Mata I, Ruiz A, Gan-Or Z, Lambert JC, Greicius MD, Mignot E. Multiancestry analysis of the HLA locus in Alzheimer's and Parkinson's diseases uncovers a shared adaptive immune response mediated by HLA-DRB1*04 subtypes. Proc Natl Acad Sci U S A 2023; 120:e2302720120. [PMID: 37643212 PMCID: PMC10483635 DOI: 10.1073/pnas.2302720120] [Show More Authors] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Accepted: 05/18/2023] [Indexed: 08/31/2023] Open
Abstract
Across multiancestry groups, we analyzed Human Leukocyte Antigen (HLA) associations in over 176,000 individuals with Parkinson's disease (PD) and Alzheimer's disease (AD) versus controls. We demonstrate that the two diseases share the same protective association at the HLA locus. HLA-specific fine-mapping showed that hierarchical protective effects of HLA-DRB1*04 subtypes best accounted for the association, strongest with HLA-DRB1*04:04 and HLA-DRB1*04:07, and intermediary with HLA-DRB1*04:01 and HLA-DRB1*04:03. The same signal was associated with decreased neurofibrillary tangles in postmortem brains and was associated with reduced tau levels in cerebrospinal fluid and to a lower extent with increased Aβ42. Protective HLA-DRB1*04 subtypes strongly bound the aggregation-prone tau PHF6 sequence, however only when acetylated at a lysine (K311), a common posttranslational modification central to tau aggregation. An HLA-DRB1*04-mediated adaptive immune response decreases PD and AD risks, potentially by acting against tau, offering the possibility of therapeutic avenues.
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Affiliation(s)
- Yann Le Guen
- Department of Neurology and Neurological Sciences, Stanford University, Stanford94305, CA
- Institut du Cerveau–Paris Brain Institute–ICM, Paris75013, France
| | - Guo Luo
- Center for Sleep Sciences and Medicine, Stanford University, Palo Alto94304, CA
| | - Aditya Ambati
- Center for Sleep Sciences and Medicine, Stanford University, Palo Alto94304, CA
| | - Vincent Damotte
- Université de Lille, Inserm, CHU Lille, Institut Pasteur de Lille, U1167-RID-AGE facteurs de risque et déterminants moléculaires des maladies liés au vieillissement, Lille59000, France
| | - Iris Jansen
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, 1081 HVAmsterdam, The Netherlands
- Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, Vrije University, 1081 HVAmsterdam, The Netherlands
| | - Eric Yu
- The Neuro (Montreal Neurological Institute-Hospital), Montreal, QuebecH3A 2B4, Canada
- Department of Human Genetics, McGill University, Montreal, QuebecH3A 0G4, Canada
- Department of Neurology and Neurosurgery, McGill University, Montreal, QuebecH3A 0G4, Canada
| | - Aude Nicolas
- Université de Lille, Inserm, CHU Lille, Institut Pasteur de Lille, U1167-RID-AGE facteurs de risque et déterminants moléculaires des maladies liés au vieillissement, Lille59000, France
| | - Itziar de Rojas
- Research Center and Memory clinic Fundació ACE, Institut Català de Neurociències Aplicades, Universitat Internacional de Catalunya, Barcelona08029, Spain
- Networking Research Center on Neurodegenerative Diseases (CIRNED), Instituto de Salud Carlos III, Madrid28029, Spain
| | - Thiago Peixoto Leal
- Genomic Medicine, Lerner Research Institute, Cleveland Clinic, Cleveland44196, OH
| | - Akinori Miyashita
- Department of Molecular Genetics, Brain Research Institute, Niigata University, Niigata950-218, Japan
| | - Céline Bellenguez
- Université de Lille, Inserm, CHU Lille, Institut Pasteur de Lille, U1167-RID-AGE facteurs de risque et déterminants moléculaires des maladies liés au vieillissement, Lille59000, France
| | - Michelle Mulan Lian
- Lee Kong Chian School of Medicine, Nanyang Technological University Singapore, Singapore308232, Singapore
- Laboratory of Neurogenetics, Genome Institute of Singapore, A*STAR, Singapore138672, Singapore
| | - Kayenat Parveen
- Division of Neurogenetics and Molecular Psychiatry, Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne50937, Germany
- Department of Neurodegenerative diseases and Geriatric Psychiatry, University Hospital Bonn, Medical Faculty, Bonn53127, Germany
| | - Takashi Morizono
- Medical Genome Center, Research Institute, National Center for Geriatrics and Gerontology, Obu474-8511, Japan
| | - Hyeonseul Park
- Department of Biomedical Science, Chosun University, Gwangju61452, Korea
| | - Benjamin Grenier-Boley
- Université de Lille, Inserm, CHU Lille, Institut Pasteur de Lille, U1167-RID-AGE facteurs de risque et déterminants moléculaires des maladies liés au vieillissement, Lille59000, France
| | - Tatsuhiko Naito
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita565-0871, Japan
- Department of Neurology, Graduate School of Medicine, The University of Tokyo, Tokyo192-0982, Japan
| | - Fahri Küçükali
- Complex Genetics of Alzheimer's Disease Group, VIB Center for Molecular Neurology, VIB, Antwerp2610, Belgium
- Laboratory of Neurogenetics, Institute Born–Bunge, Antwerp2610, Belgium
- Department of Biomedical Sciences, University of Antwerp, Antwerp2000, Belgium
| | - Seth D. Talyansky
- Department of Neurology and Neurological Sciences, Stanford University, Stanford94305, CA
| | - Selina Maria Yogeshwar
- Center for Sleep Sciences and Medicine, Stanford University, Palo Alto94304, CA
- Department of Neurology, Charité–Universitätsmedizin, Berlin10117, Germany
- Charité–Universitätsmedizin Berlin, Einstein Center for Neurosciences Berlin, Berlin10117, Germany
| | - Vicente Sempere
- Center for Sleep Sciences and Medicine, Stanford University, Palo Alto94304, CA
| | - Wataru Satake
- Department of Neurology, Graduate School of Medicine, The University of Tokyo, Tokyo192-0982, Japan
| | - Victoria Alvarez
- Laboratorio de Genética, Hospital Universitario Central de Asturias, Oviedo33011, Spain
- Instituto de Investigación Sanitaria del Principado de Asturias, Oviedo33011, Spain
| | - Beatrice Arosio
- Department of Clinical Sciences and Community Health, University of Milan, Milan20122, Italy
| | - Michael E. Belloy
- Department of Neurology and Neurological Sciences, Stanford University, Stanford94305, CA
| | - Luisa Benussi
- Molecular Markers Laboratory, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia25125, Italy
| | - Anne Boland
- Université Paris-Saclay, CEA, Centre National de Recherche en Génomique Humaine, Evry91057, France
| | - Barbara Borroni
- Department of Clinical and Experimental Sciences, Centre for Neurodegenerative Disorders, Neurology Unit, University of Brescia, Brescia25123, Italy
| | - María J. Bullido
- Networking Research Center on Neurodegenerative Diseases (CIRNED), Instituto de Salud Carlos III, Madrid28029, Spain
- Centro de Biología Molecular Severo Ochoa (UAM-CSIC), Universidad Autónoma de Madrid, Madrid28049, Spain
- Instituto de Investigacion Sanitaria "Hospital la Paz" (IdIPaz), Madrid48903, Spain
| | - Paolo Caffarra
- Unit of Neurology, University of Parma and AOU, Parma43121, Italy
| | - Jordi Clarimon
- Networking Research Center on Neurodegenerative Diseases (CIRNED), Instituto de Salud Carlos III, Madrid28029, Spain
- Department of Neurology, II B Sant Pau, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona08193, Spain
| | - Antonio Daniele
- Department of Neuroscience, Università Cattolica del Sacro Cuore, Rome00168, Italy
- Neurology Unit, IRCCS Fondazione Policlinico Universitario A. Gemelli, Rome00168, Italy
| | - Daniel Darling
- Center for Sleep Sciences and Medicine, Stanford University, Palo Alto94304, CA
| | - Stéphanie Debette
- University Bordeaux, Inserm, Bordeaux Population Health Research Center, Bordeaux33000, France
- Department of Neurology, Bordeaux University Hospital, Bordeaux33400, France
| | - Jean-François Deleuze
- Université Paris-Saclay, CEA, Centre National de Recherche en Génomique Humaine, Evry91057, France
| | - Martin Dichgans
- Institute for Stroke and Dementia Research, University Hospital, Ludwig Maximilian University of Munich, 81377, Munich, Germany
- German Center for Neurodegenerative Diseases, Munich37075, Germany
- Munich Cluster for Systems Neurology, Munich81377, Germany
| | - Carole Dufouil
- Inserm, Bordeaux Population Health Research Center, UMR 1219, Univ. Bordeaux, ISPED, CIC 1401-EC, Université de Bordeaux, Bordeaux33405, France
- CHU de Bordeaux, Pole santé publique, Bordeaux33400, France
| | - Emmanuel During
- Center for Sleep Sciences and Medicine, Stanford University, Palo Alto94304, CA
| | - Emrah Düzel
- German Center for Neurodegenerative Diseases, Magdeburg39120, Germany
- Institute of Cognitive Neurology and Dementia Research, Otto-von-Guericke University, Magdeburg39106, Germany
| | - Daniela Galimberti
- Neurodegenerative Diseases Unit, Fondazione IRCCS Ca’ Granda, Ospedale Policlinico, Milan20122, Italy
- Department of Biomedical, Surgical and Dental Sciences, University of Milan, Milan20122, Italy
| | | | - José María García-Alberca
- Networking Research Center on Neurodegenerative Diseases (CIRNED), Instituto de Salud Carlos III, Madrid28029, Spain
- Alzheimer Research Center and Memory Clinic, Andalusian Institute for Neuroscience, Málaga29012, Spain
| | - Pablo García-González
- Research Center and Memory clinic Fundació ACE, Institut Català de Neurociències Aplicades, Universitat Internacional de Catalunya, Barcelona08029, Spain
| | - Vilmantas Giedraitis
- Department of Public Health and Caring Sciences, Uppsala University, Uppsala751 22, Sweden
- Geriatrics, Uppsala University, Uppsala751 22, Sweden
| | - Oliver Goldhardt
- Department of Psychiatry and Psychotherapy, Technical University of Munich, School of Medicine, Klinikum recs der Isar, Munich80333, Germany
| | - Caroline Graff
- Unit for Hereditary Dementias, Theme Aging, Karolinska University Hospital-Solna, Stockholm171 64, Swdeen
| | - Edna Grünblatt
- Department of Child and Adolescent Psychiatry and Psychotherapy, University Hospital of Psychiatry Zurich, University of Zurich, Zurich8032, Switzerland
- Neuroscience Center Zurich, University of Zurich and ETH Zurich, Zurich8057, Switzerland
- Zurich Center for Integrative Human Physiology, University of Zurich, Zurich8057, Switzerland
| | - Olivier Hanon
- Université de Paris, EA 4468, APHP, Hôpital Broca, Paris75013, France
| | - Lucrezia Hausner
- Department of Geriatric Psychiatry, Central Institute for Mental Health Mannheim, Faculty Mannheim, University of Heidelberg, Heidelberg68159, Germany
| | - Stefanie Heilmann-Heimbach
- Institute of Human Genetics, University of Bonn, School of Medicine and University Hospital Bonn, Bonn53127, Germany
| | - Henne Holstege
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, 1081 HVAmsterdam, The Netherlands
- Department of Clinical Genetics, VU University Medical Centre, Amsterdam1081 HV, The Netherlands
| | - Jakub Hort
- Department of Neurology, Memory Clinic, Charles University, 2nd Faculty of Medicine and Motol University Hospital, Prague150 06, Czech Republic
- International Clinical Research Center, St. Anne’s University Hospital Brno, Brno656 91, Czech Republic
| | - Yoo Jin Jung
- Stanford Neurosciences Interdepartmental Program, Stanford University School of Medicine, Stanford94305, CA
| | - Deckert Jürgen
- Department of Psychiatry, Psychosomatics and Psychotherapy, Center of Mental Health, University Hospital of Würzburg, Würzburg97080, Germany
| | - Silke Kern
- Department of Psychiatry and Neurochemistry, Neuropsychiatric Epidemiology Unit, Institute of Neuroscience and Physiology, the Sahlgrenska Academy, Centre for Ageing and Health (AGECAP) at the University of Gothenburg, Gothenburg405 30, Sweden
- Region Västra Götaland, Sahlgrenska University Hospital, Psychiatry, Cognition and Old Age Psychiatry Clinic, Gothenburg413 45, Sweden
| | - Teemu Kuulasmaa
- Institute of Biomedicine, University of Eastern Finland, Joensuu, Kuopio, Eastern Finland80101, Finland
| | - Kun Ho Lee
- Department of Biomedical Science, Chosun University, Gwangju61452, Republic of Korea
- Department of Integrative Biological Sciences, Chosun University, Gwangju61452, Republic of Korea
- Gwangju Alzheimer's and Related Dementias Cohort Research Center, Chosun University, Gwangju61452, Republic of Korea
- Korea Brain Research Institute, Daegu41062, Republic of Korea
- Neurozen Inc., Seoul06236, Republic of Korea
| | - Ling Lin
- Center for Sleep Sciences and Medicine, Stanford University, Palo Alto94304, CA
| | - Carlo Masullo
- Institute of Neurology, Catholic University of the Sacred Heart, Rome20123, Italy
| | - Patrizia Mecocci
- Department of Medicine and Surgery, Institute of Gerontology and Geriatrics, University of Perugia, Perugia06123, Italy
| | - Shima Mehrabian
- Clinic of Neurology, UH “Alexandrovska”, Medical University–Sofia, Sofia1431, Bulgaria
| | | | - Mercè Boada
- Research Center and Memory clinic Fundació ACE, Institut Català de Neurociències Aplicades, Universitat Internacional de Catalunya, Barcelona08029, Spain
- Networking Research Center on Neurodegenerative Diseases (CIRNED), Instituto de Salud Carlos III, Madrid28029, Spain
| | - Pablo Mir
- Networking Research Center on Neurodegenerative Diseases (CIRNED), Instituto de Salud Carlos III, Madrid28029, Spain
- Unidad de Trastornos del Movimiento, Servicio de Neurología y Neurofisiología, Instituto de Biomedicina de Sevilla, Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, Seville41013, Spain
| | - Susanne Moebus
- Institute for Urban Public Health, University Hospital of University Duisburg-Essen, Essen45147, Germany
| | - Fermin Moreno
- Networking Research Center on Neurodegenerative Diseases (CIRNED), Instituto de Salud Carlos III, Madrid28029, Spain
- Department of Neurology, Hospital Universitario Donostia, San Sebastian20014, Spain
- Neurosciences Area, Instituto Biodonostia, San Sebastian20014, Spain
| | - Benedetta Nacmias
- Department of Neuroscience, Psychology, Drug Research and Child Health University of Florence, Florence50121, Italy
- IRCCS Fondazione Don Carlo Gnocchi, Florence20162, Italy
| | - Gael Nicolas
- Department of Genetics and CNR-MAJ, Normandie Univ, UNIROUEN, Inserm U1245 and CHU Rouen, RouenF-76000, France
| | - Shumpei Niida
- Medical Genome Center, Research Institute, National Center for Geriatrics and Gerontology, Obu474-8511, Japan
| | - Børge G. Nordestgaard
- Department of Clinical Biochemistry, Copenhagen University Hospital-Herlev Gentofte, Copenhagen2730, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen1172, Denmark
| | - Goran Papenberg
- Department of Neurobiology, Care Sciences and Society, Aging Research Center, Karolinska Institutet and Stockholm University, Stockholm171 77, Sweden
| | - Janne Papma
- Department of Neurology, Alzheimer Center Erasmus MC, Erasmus University Medical Center, Rotterdam3000, The Netherlands
| | - Lucilla Parnetti
- Centre for Memory Disturbances, Lab of Clinical Neurochemistry, Section of Neurology, University of Perugia, Perugia06123, Italy
| | - Florence Pasquier
- Université de Lille, Inserm 1172, CHU Clinical and Research Memory Research Centre of Distalz, Lille59000, France
| | - Pau Pastor
- Fundació Docència i Recerca MútuaTerrassa, Terrassa, Barcelona08221, Spain
- Memory Disorders Unit, Department of Neurology, Hospital Universitari Mutua de Terrassa, Terrassa, Barcelona08221, Spain
| | - Oliver Peters
- German Center for Neurodegenerative Diseases (DZNE), Berlin37075, Germany
- Charité–Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Institute of Psychiatry and Psychotherapy, Berlin12203, Germany
| | - Yolande A. L. Pijnenburg
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, 1081 HVAmsterdam, The Netherlands
| | - Gerard Piñol-Ripoll
- Unitat Trastorns Cognitius, Hospital Universitari Santa Maria de Lleida, Lleida25198, Spain
- Institut de Recerca Biomedica de Lleida, Lleida25198, Spain
| | - Julius Popp
- Department of Psychiatry, Old Age Psychiatry, Lausanne University Hospital, Lausanne1005, Switzerland
- Department of Geriatric Psychiatry, University Hospital of Psychiatry Zürich, Zürich8032, Switzerland
- Institute for Regenerative Medicine, University of Zürich, Zürich8952, Switzerland
| | - Laura Molina Porcel
- Neurological Tissue Bank–Biobanc- Hospital Clinic-Institut d'Investigacions Biomèdiques August Pi i Sunyer, Barcelona08036, Spain
- Alzheimer’s disease and other cognitive disorders Unit, Neurology Department, Hospital Clinic, Barcelona08036, Spain
| | - Raquel Puerta
- Research Center and Memory clinic Fundació ACE, Institut Català de Neurociències Aplicades, Universitat Internacional de Catalunya, Barcelona08029, Spain
| | - Jordi Pérez-Tur
- Networking Research Center on Neurodegenerative Diseases (CIRNED), Instituto de Salud Carlos III, Madrid28029, Spain
- Unitat de Genètica Molecular, Institut de Biomedicina de València-Consejo Superior de Investigaciones CientíficasValencia46010, Spain
- Unidad Mixta de Neurologia Genètica, Instituto de Investigación Sanitaria La Fe, Valencia46026, Spain
| | - Innocenzo Rainero
- Department of Neuroscience “Rita Levi Montalcini”, University of Torino, Torino10126, Italy
| | - Inez Ramakers
- Department of Psychiatry and Neuropsychologie, Alzheimer Center Limburg, Maastricht University, Maastricht6229 GS, The Netherlands
| | - Luis M. Real
- Unidad Clínica de Enfermedades Infecciosas y Microbiología, Hospital Universitario de Valme, Sevilla41014, Spain
- Depatamento de Especialidades Quirúrgicas, Bioquímica e Inmunología, Facultad de Medicina, Universidad de Málaga, Málaga29010, Spain
| | - Steffi Riedel-Heller
- Institute of Social Medicine, Occupational Health and Public Health, University of Leipzig, Leipzig04109, Germany
| | - Eloy Rodriguez-Rodriguez
- Networking Research Center on Neurodegenerative Diseases (CIRNED), Instituto de Salud Carlos III, Madrid28029, Spain
- Neurology Service, Marqués de Valdecilla University Hospital (University of Cantabria and IDIVAL), Santander39011, Spain
| | - Owen A. Ross
- Department of Neuroscience, Mayo Clinic-Florida, Jacksonville32224, FL
- Department of Clinical Genomics, Mayo Clinic-Florida, Jacksonville32224, FL
| | - Jose Luís Royo
- Depatamento de Especialidades Quirúrgicas, Bioquímica e Inmunología. Facultad de Medicina, Universidad de Málaga, Málaga29010, Spain
| | - Dan Rujescu
- Martin-Luther-University Halle-Wittenberg, University Clinic and Outpatient Clinic for Psychiatry, Psychotherapy and Psychosomatics, Halle (Saale)06120, Germany
| | - Nikolaos Scarmeas
- Department of Neurology, The Gertrude H. Sergievsky Center, Taub Institute for Research in Alzheimer’s Disease and the Aging Brain, Columbia University, New York10032, NY
- 1st Department of Neurology, Aiginition Hospital, National and Kapodistrian University of Athens, Medical School, Athens106 79, Greece
| | - Philip Scheltens
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, 1081 HVAmsterdam, The Netherlands
| | - Norbert Scherbaum
- Department of Psychiatry and Psychotherapy, Medical Faculty, LVR-Hospital Essen, University of Duisburg-Essen, 45147Duisberg, Germany
| | - Anja Schneider
- German Center for Neurodegenerative Diseases (Deutsches Zentrum für Neurodegenerative Erkrankungen), 37075Göttingen, Germany
- Department for Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Bonn53127, Germany
| | - Davide Seripa
- Department of Hematology and Stem Cell Transplant, Laboratory for Advanced Hematological Diagnostics, Lecce73100, Italy
| | - Ingmar Skoog
- Department of Psychiatry and Neurochemistry, Neuropsychiatric Epidemiology Unit, Institute of Neuroscience and Physiology, the Sahlgrenska Academy, Centre for Ageing and Health (AGECAP) at the University of Gothenburg, Gothenburg405 30, Sweden
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy, Centre for Ageing and Health (AGECAP) at the University of Gothenburg, Gothenburg405 30, Sweden
| | - Vincenzo Solfrizzi
- Interdisciry Department of Medicine, Geriatric Medicine and Memory Unit, University of Bari “A. Moro, Bari70121, Italy
| | - Gianfranco Spalletta
- Laboratory of Neuropsychiatry, IRCCS Santa Lucia Foundation, Rome00179, Italy
- Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston77030, TX
| | - Alessio Squassina
- Department of Biomedical Sciences, University of Cagliari, Cagliari09124, Italy
| | - John van Swieten
- Department of Neurology, ErasmusMC, Rotterdam3000CA, Netherlands
| | - Raquel Sánchez-Valle
- Alzheimer's disease and other cognitive disorders unit, Service of Neurology, Hospital Clínic of Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer, University of Barcelona, Barcelona08036, Spain
| | - Eng-King Tan
- Department of Neurology, National Neuroscience Institute, Singapore General Hospital, Singapore308433, Singapore
- Duke-National University of Singapore Medical School, Singapore169857, Singapore
| | - Thomas Tegos
- 1st Department of Neurology, Medical school, Aristotle University of Thessaloniki, Thessaloniki541 24, Greece
| | - Charlotte Teunissen
- Neurochemistry Lab, Department of Clinical Chemistry, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam1081 HV, Netherlands
| | - Jesper Qvist Thomassen
- Department of Clinical Biochemistry, Copenhagen University Hospital–Rigshospitalet, Copenhagen2100, Denmark
| | - Lucio Tremolizzo
- Neurology, "San Gerardo" hospital, Monza and University of Milano-Bicocca, Monza20900, Italy
| | - Martin Vyhnalek
- Department of Clinical Genetics, VU University Medical Centre, Amsterdam1081 HV, The Netherlands
- Department of Neurology, Memory Clinic, Charles University, 2nd Faculty of Medicine and Motol University Hospital, Prague150 06, Czech Republic
| | - Frans Verhey
- Department of Psychiatry and Neuropsychologie, Alzheimer Center Limburg, Maastricht University, Maastricht6229 GS, Netherlands
| | - Margda Waern
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy, Centre for Ageing and Health (AGECAP) at the University of Gothenburg, Gothenburg431 41, Sweden
- Region Västra Götaland, Sahlgrenska University Hospital, Psychosis Clinic, Gothenburg413 45, Sweden
| | - Jens Wiltfang
- Department of Psychiatry and Psychotherapy, University Medical Center Goettingen, Goettingen37075, Germany
- German Center for Neurodegenerative Diseases (Deutsches Zentrum für Neurodegenerative Erkrankungen), Goettingen37075, Germany
- Department of Medical Sciences, Neurosciences and Signaling Group, Institute of Biomedicine, University of Aveiro, Aveiro3810-193, Portugal
| | - Jing Zhang
- Center for Sleep Sciences and Medicine, Stanford University, Palo Alto94304, CA
| | | | | | | | | | | | | | | | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal431 41, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, MölndalSE-43180, Sweden
- Department of Neurodegenerative Disease, UCL Institute of Neurology, LondonWC1E 6BT, United Kingdom
- UK Dementia Research Institute at UCL, LondonWC1E 6BT, United Kingdom
- Hong Kong Center for Neurodegenerative Diseases, Hong Kong, China
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal431 41, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, MölndalSE-43180, Sweden
| | - Zihuai He
- Department of Neurology and Neurological Sciences, Stanford University, Stanford94305, CA
| | - Julie Williams
- UKDRI@Cardiff, School of Medicine, Cardiff University, WalesCF14 4YS, United Kingdom
- Division of Psychological Medicine and Clinical Neuroscience, School of Medicine, Cardiff University, Cardiff WalesCF14 4XN, United Kingdom
| | - Philippe Amouyel
- Université de Lille, Inserm, CHU Lille, Institut Pasteur de Lille, U1167-RID-AGE facteurs de risque et déterminants moléculaires des maladies liés au vieillissement, Lille59000, France
| | - Frank Jessen
- German Center for Neurodegenerative Diseases (Deutsches Zentrum für Neurodegenerative Erkrankungen), 37075Göttingen, Germany
- Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne50937, Germany
- Cluster of Excellence Cellular Stress Responses in Aging-associated Diseases, University of Cologne, Cologne50931, Germany
| | - Patrick G. Kehoe
- Translational Health Sciences, Bristol Medical School, University of Bristol, BristolBS8 1QU, United Kingdom
| | - Ole A. Andreassen
- NORMENT Centre, Division of Mental Health and Addiction, Oslo University Hospital, Oslo0450, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Cornelia Van Duin
- Department of Epidemiology, ErasmusMC, Rotterdam3000 CA, The Netherlands
- Nuffield Department of Population Health Oxford University, OxfordOX3 7LF, United Kingdom
| | - Magda Tsolaki
- 1st Department of Neurology, Medical school, Aristotle University of Thessaloniki, Thessaloniki541 24, Greece
| | - Pascual Sánchez-Juan
- Networking Research Center on Neurodegenerative Diseases (CIRNED), Instituto de Salud Carlos III, Madrid28029, Spain
- Alzheimer’s Centre Reina Sofia-CIEN Foundation, Madrid, Spain
| | - Ruth Frikke-Schmidt
- Department of Clinical Medicine, University of Copenhagen, Copenhagen1172, Denmark
- Department of Clinical Biochemistry, Copenhagen University Hospital–Rigshospitalet, Copenhagen2100, Denmark
| | - Kristel Sleegers
- Complex Genetics of Alzheimer's Disease Group, VIB Center for Molecular Neurology, VIB, Antwerp2610, Belgium
- Laboratory of Neurogenetics, Institute Born–Bunge, Antwerp2610, Belgium
- Department of Biomedical Sciences, University of Antwerp, Antwerp2000, Belgium
| | - Tatsushi Toda
- Department of Neurology, Graduate School of Medicine, The University of Tokyo, Tokyo192-0982, Japan
| | - Anna Zettergren
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy, Centre for Ageing and Health (AGECAP) at the University of Gothenburg, Gothenburg431 41, Sweden
| | - Martin Ingelsson
- Department of Public Health and Caring Sciences, Uppsala University, Uppsala751 22, Sweden
- Geriatrics, Uppsala University, Uppsala751 22, Sweden
- Krembil Brain Institute, University Health Network, TorontoM5G 2C4, Canada
- Department of Medicine and Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, TorontoM5S 1A8, Canada
| | - Yukinori Okada
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita565-0871, Japan
- Laboratory of Statistical Immunology, Immunology Frontier Research Center (WPI-IFReC), Osaka University, Suita565-0871, Japan
- Integrated Frontier Research for Medical Science Division, Institute for Open and Transdisciplinary Research Initiatives, Osaka University, Suita565-0871, Japan
- Center for Infectious Disease Education and Research, Osaka University, Suita565-0871, Japan
| | - Giacomina Rossi
- Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan20133, Italy
| | - Mikko Hiltunen
- Institute of Biomedicine, University of Eastern Finland, Joensuu, Kuopio, Eastern Finland80101, Finland
| | - Jungsoo Gim
- Department of Biomedical Science, Chosun University, Gwangju61452, Korea
- Department of Integrative Biological Sciences, Chosun University, Gwangju61452, Republic of Korea
- Gwangju Alzheimer's and Related Dementias Cohort Research Center, Chosun University, Gwangju61452, Republic of Korea
| | - Kouichi Ozaki
- Medical Genome Center, Research Institute, National Center for Geriatrics and Gerontology, Obu474-8511, Japan
- RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Rebecca Sims
- Division of Psychological Medicine and Clinical Neuroscience, School of Medicine, Cardiff University, WalesCF14 4YS, United Kingdom
| | - Jia Nee Foo
- Lee Kong Chian School of Medicine, Nanyang Technological University Singapore, Singapore308232, Singapore
- Laboratory of Neurogenetics, Genome Institute of Singapore, A*STAR, Singapore138672, Singapore
| | - Wiesje van der Flier
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, 1081 HVAmsterdam, The Netherlands
| | - Takeshi Ikeuchi
- Department of Molecular Genetics, Brain Research Institute, Niigata University, Niigata950-218, Japan
| | - Alfredo Ramirez
- Division of Neurogenetics and Molecular Psychiatry, Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne50937, Germany
- Department of Neurodegenerative diseases and Geriatric Psychiatry, University Hospital Bonn, Medical Faculty, Bonn53127, Germany
- German Center for Neurodegenerative Diseases (Deutsches Zentrum für Neurodegenerative Erkrankungen), 37075Göttingen, Germany
- Cluster of Excellence Cellular Stress Responses in Aging-associated Diseases, University of Cologne, Cologne50931, Germany
- Department of Psychiatry and Glenn Biggs Institute for Alzheimer’s and Neurodegenerative Diseases, San Antonio78229, TX
| | - Ignacio Mata
- Genomic Medicine, Lerner Research Institute, Cleveland Clinic, Cleveland44196, OH
| | - Agustín Ruiz
- Research Center and Memory clinic Fundació ACE, Institut Català de Neurociències Aplicades, Universitat Internacional de Catalunya, Barcelona08029, Spain
- Networking Research Center on Neurodegenerative Diseases (CIRNED), Instituto de Salud Carlos III, Madrid28029, Spain
| | - Ziv Gan-Or
- The Neuro (Montreal Neurological Institute-Hospital), Montreal, QuebecH3A 2B4, Canada
- Department of Human Genetics, McGill University, Montreal, QuebecH3A 0G4, Canada
- Department of Neurology and Neurosurgery, McGill University, Montreal, QuebecH3A 0G4, Canada
| | - Jean-Charles Lambert
- Université de Lille, Inserm, CHU Lille, Institut Pasteur de Lille, U1167-RID-AGE facteurs de risque et déterminants moléculaires des maladies liés au vieillissement, Lille59000, France
| | - Michael D. Greicius
- Department of Neurology and Neurological Sciences, Stanford University, Stanford94305, CA
| | - Emmanuel Mignot
- Center for Sleep Sciences and Medicine, Stanford University, Palo Alto94304, CA
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14
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Park JY, Lee JJ, Lee Y, Lee D, Gim J, Farrer L, Lee KH, Won S. Machine learning-based quantification for disease uncertainty increases the statistical power of genetic association studies. Bioinformatics 2023; 39:btad534. [PMID: 37665736 PMCID: PMC10539075 DOI: 10.1093/bioinformatics/btad534] [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: 04/03/2023] [Revised: 07/25/2023] [Accepted: 09/01/2023] [Indexed: 09/06/2023] Open
Abstract
MOTIVATION Allowance for increasingly large samples is a key to identify the association of genetic variants with Alzheimer's disease (AD) in genome-wide association studies (GWAS). Accordingly, we aimed to develop a method that incorporates patients with mild cognitive impairment and unknown cognitive status in GWAS using a machine learning-based AD prediction model. RESULTS Simulation analyses showed that weighting imputed phenotypes method increased the statistical power compared to ordinary logistic regression using only AD cases and controls. Applied to real-world data, the penalized logistic method had the highest AUC (0.96) for AD prediction and weighting imputed phenotypes method performed well in terms of power. We identified an association (P<5.0×10-8) of AD with several variants in the APOE region and rs143625563 in LMX1A. Our method, which allows the inclusion of individuals with mild cognitive impairment, improves the statistical power of GWAS for AD. We discovered a novel association with LMX1A. AVAILABILITY AND IMPLEMENTATION Simulation codes can be accessed at https://github.com/Junkkkk/wGEE_GWAS.
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Affiliation(s)
- Jun Young Park
- Department of Public Health Sciences, Graduate School of Public Health, Seoul National University, Seoul 08826, Korea
- Neurozen Inc., Seoul 06168, Korea
- Gwangju Alzheimer’s & Related Dementia Cohort Research Center, Chosun University, Gwangju 61452, Korea
| | - Jang Jae Lee
- Gwangju Alzheimer’s & Related Dementia Cohort Research Center, Chosun University, Gwangju 61452, Korea
| | - Younghwa Lee
- Department of Public Health Sciences, Graduate School of Public Health, Seoul National University, Seoul 08826, Korea
| | - Dongsoo Lee
- Department of Public Health Sciences, Graduate School of Public Health, Seoul National University, Seoul 08826, Korea
| | - Jungsoo Gim
- Gwangju Alzheimer’s & Related Dementia Cohort Research Center, Chosun University, Gwangju 61452, Korea
- Department of Biomedical Science, Chosun University, Gwangju 61452, Korea
| | - Lindsay Farrer
- Departments of Medicine (Biomedical Genetics), Neurology, and Ophthalmology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA 02118, United States
- Departments of Epidemiology and Biostatistics, Boston University School of Public Health, Boston, MA 02118, United States
| | - Kun Ho Lee
- Gwangju Alzheimer’s & Related Dementia Cohort Research Center, Chosun University, Gwangju 61452, Korea
- Department of Biomedical Science, Chosun University, Gwangju 61452, Korea
- Korea Brain Research Institute, Daegu 41068, Korea
| | - Sungho Won
- Department of Public Health Sciences, Graduate School of Public Health, Seoul National University, Seoul 08826, Korea
- Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul 08826, Korea
- Institute of Health and Environment, Seoul National University, Seoul 08826, Korea
- RexSoft Inc, Seoul 08826, Korea
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15
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Lake J, Warly Solsberg C, Kim JJ, Acosta-Uribe J, Makarious MB, Li Z, Levine K, Heutink P, Alvarado CX, Vitale D, Kang S, Gim J, Lee KH, Pina-Escudero SD, Ferrucci L, Singleton AB, Blauwendraat C, Nalls MA, Yokoyama JS, Leonard HL. Multi-ancestry meta-analysis and fine-mapping in Alzheimer's disease. Mol Psychiatry 2023; 28:3121-3132. [PMID: 37198259 PMCID: PMC10615750 DOI: 10.1038/s41380-023-02089-w] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Revised: 03/27/2023] [Accepted: 03/31/2023] [Indexed: 05/19/2023]
Abstract
Genome-wide association studies (GWAS) of Alzheimer's disease are predominantly carried out in European ancestry individuals despite the known variation in genetic architecture and disease prevalence across global populations. We leveraged published GWAS summary statistics from European, East Asian, and African American populations, and an additional GWAS from a Caribbean Hispanic population using previously reported genotype data to perform the largest multi-ancestry GWAS meta-analysis of Alzheimer's disease and related dementias to date. This method allowed us to identify two independent novel disease-associated loci on chromosome 3. We also leveraged diverse haplotype structures to fine-map nine loci with a posterior probability >0.8 and globally assessed the heterogeneity of known risk factors across populations. Additionally, we compared the generalizability of multi-ancestry- and single-ancestry-derived polygenic risk scores in a three-way admixed Colombian population. Our findings highlight the importance of multi-ancestry representation in uncovering and understanding putative factors that contribute to risk of Alzheimer's disease and related dementias.
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Affiliation(s)
- Julie Lake
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
| | - Caroline Warly Solsberg
- Pharmaceutical Sciences and Pharmacogenomics, University of California, San Francisco, San Francisco, CA, USA
- Department of Neurology and Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
- Memory and Aging Center, University of California, San Francisco, San Francisco, CA, USA
| | - Jonggeol Jeffrey Kim
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
- Preventive Neurology Unit, Centre for Prevention Diagnosis and Detection, Wolfson Institute of Population Health, Queen Mary University of London, London, UK
| | - Juliana Acosta-Uribe
- Neuroscience Research Institute and the department of Molecular, Cellular and Developmental Biology, University of California, Santa Barbara, Santa Barbara, CA, USA
- Neuroscience Group of Antioquia, University of Antioquia, Medellín, Colombia
| | - Mary B Makarious
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
- Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, London, UK
- UCL Movement Disorders Centre, University College London, London, UK
| | - Zizheng Li
- Pharmaceutical Sciences and Pharmacogenomics, University of California, San Francisco, San Francisco, CA, USA
- Department of Neurology and Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Kristin Levine
- Data Tecnica International LLC, Washington, DC, USA
- Center for Alzheimer's and Related Dementias, National Institutes of Health, Bethesda, MD, USA
| | - Peter Heutink
- Alector, Inc. 131 Oyster Point Blvd, Suite 600, South San Francisco, CA, 94080, USA
| | - Chelsea X Alvarado
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
- Data Tecnica International LLC, Washington, DC, USA
- Center for Alzheimer's and Related Dementias, National Institutes of Health, Bethesda, MD, USA
| | - Dan Vitale
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
- Data Tecnica International LLC, Washington, DC, USA
- Center for Alzheimer's and Related Dementias, National Institutes of Health, Bethesda, MD, USA
| | - Sarang Kang
- Gwangju Alzheimer's disease and Related Dementia Cohort Research Center, Chosun University, Gwangju, 61452, Korea
- BK FOUR Department of Integrative Biological Sciences, Chosun University, Gwangju, 61452, Korea
| | - Jungsoo Gim
- Gwangju Alzheimer's disease and Related Dementia Cohort Research Center, Chosun University, Gwangju, 61452, Korea
- BK FOUR Department of Integrative Biological Sciences, Chosun University, Gwangju, 61452, Korea
- Department of Biomedical Science, Chosun University, Gwangju, 61452, Korea
| | - Kun Ho Lee
- Gwangju Alzheimer's disease and Related Dementia Cohort Research Center, Chosun University, Gwangju, 61452, Korea
- BK FOUR Department of Integrative Biological Sciences, Chosun University, Gwangju, 61452, Korea
- Department of Biomedical Science, Chosun University, Gwangju, 61452, Korea
- Korea Brain Research Institute, Daegu, 41062, Korea
| | - Stefanie D Pina-Escudero
- Pharmaceutical Sciences and Pharmacogenomics, University of California, San Francisco, San Francisco, CA, USA
- Department of Neurology and Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
- Memory and Aging Center, University of California, San Francisco, San Francisco, CA, USA
| | - Luigi Ferrucci
- Longitudinal Studies Section, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
| | - Andrew B Singleton
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
- Center for Alzheimer's and Related Dementias, National Institutes of Health, Bethesda, MD, USA
| | - Cornelis Blauwendraat
- Center for Alzheimer's and Related Dementias, National Institutes of Health, Bethesda, MD, USA
- Integrative Neurogenomics Unit, Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
| | - Mike A Nalls
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
- Data Tecnica International LLC, Washington, DC, USA
- Center for Alzheimer's and Related Dementias, National Institutes of Health, Bethesda, MD, USA
| | - Jennifer S Yokoyama
- Pharmaceutical Sciences and Pharmacogenomics, University of California, San Francisco, San Francisco, CA, USA
- Department of Neurology and Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
- Memory and Aging Center, University of California, San Francisco, San Francisco, CA, USA
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, USA
| | - Hampton L Leonard
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA.
- Data Tecnica International LLC, Washington, DC, USA.
- Center for Alzheimer's and Related Dementias, National Institutes of Health, Bethesda, MD, USA.
- German Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany.
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16
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Lambert JC, Ramirez A, Grenier-Boley B, Bellenguez C. Step by step: towards a better understanding of the genetic architecture of Alzheimer's disease. Mol Psychiatry 2023; 28:2716-2727. [PMID: 37131074 PMCID: PMC10615767 DOI: 10.1038/s41380-023-02076-1] [Citation(s) in RCA: 34] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Revised: 04/12/2023] [Accepted: 04/14/2023] [Indexed: 05/04/2023]
Abstract
Alzheimer's disease (AD) is considered to have a large genetic component. Our knowledge of this component has progressed over the last 10 years, thanks notably to the advent of genome-wide association studies and the establishment of large consortia that make it possible to analyze hundreds of thousands of cases and controls. The characterization of dozens of chromosomal regions associated with the risk of developing AD and (in some loci) the causal genes responsible for the observed disease signal has confirmed the involvement of major pathophysiological pathways (such as amyloid precursor protein metabolism) and opened up new perspectives (such as the central role of microglia and inflammation). Furthermore, large-scale sequencing projects are starting to reveal the major impact of rare variants - even in genes like APOE - on the AD risk. This increasingly comprehensive knowledge is now being disseminated through translational research; in particular, the development of genetic risk/polygenic risk scores is helping to identify the subpopulations more at risk or less at risk of developing AD. Although it is difficult to assess the efforts still needed to comprehensively characterize the genetic component of AD, several lines of research can be improved or initiated. Ultimately, genetics (in combination with other biomarkers) might help to redefine the boundaries and relationships between various neurodegenerative diseases.
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Affiliation(s)
- Jean-Charles Lambert
- Univ. Lille, Inserm, CHU Lille, Institut Pasteur de Lille, U1167-RID-AGE Facteurs de risque et déterminants moléculaires des maladies liées au vieillissement, Lille, France.
| | - Alfredo Ramirez
- Division of Neurogenetics and Molecular Psychiatry, Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
- Department of Neurodegenerative diseases and Geriatric Psychiatry, University Hospital Bonn, Medical Faculty, Bonn, Germany
- Department of Psychiatry & Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, San Antonio, TX, USA
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
- Cluster of Excellence Cellular Stress Responses in Aging-Associated Diseases (CECAD), University of Cologne, Cologne, Germany
| | - Benjamin Grenier-Boley
- Univ. Lille, Inserm, CHU Lille, Institut Pasteur de Lille, U1167-RID-AGE Facteurs de risque et déterminants moléculaires des maladies liées au vieillissement, Lille, France
| | - Céline Bellenguez
- Univ. Lille, Inserm, CHU Lille, Institut Pasteur de Lille, U1167-RID-AGE Facteurs de risque et déterminants moléculaires des maladies liées au vieillissement, Lille, France
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17
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Sun N, Akay LA, Murdock MH, Park Y, Galiana-Melendez F, Bubnys A, Galani K, Mathys H, Jiang X, Ng AP, Bennett DA, Tsai LH, Kellis M. Single-nucleus multiregion transcriptomic analysis of brain vasculature in Alzheimer's disease. Nat Neurosci 2023; 26:970-982. [PMID: 37264161 PMCID: PMC10464935 DOI: 10.1038/s41593-023-01334-3] [Citation(s) in RCA: 67] [Impact Index Per Article: 33.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Accepted: 04/17/2023] [Indexed: 06/03/2023]
Abstract
Cerebrovascular dysregulation is a hallmark of Alzheimer's disease (AD), but the changes that occur in specific cell types have not been fully characterized. Here, we profile single-nucleus transcriptomes in the human cerebrovasculature in six brain regions from 220 individuals with AD and 208 age-matched controls. We annotate 22,514 cerebrovascular cells, including 11 subtypes of endothelial, pericyte, smooth muscle, perivascular fibroblast and ependymal cells. We identify 2,676 differentially expressed genes in AD, including downregulation of PDGFRB in pericytes, and of ABCB1 and ATP10A in endothelial cells, and validate the downregulation of SLC6A1 and upregulation of APOD, INSR and COL4A1 in postmortem AD brain tissues. We detect vasculature, glial and neuronal coexpressed gene modules, suggesting coordinated neurovascular unit dysregulation in AD. Integration with AD genetics reveals 125 AD differentially expressed genes directly linked to AD-associated genetic variants. Lastly, we show that APOE4 genotype-associated differences are significantly enriched among AD-associated genes in capillary and venule endothelial cells, as well as subsets of pericytes and fibroblasts.
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Affiliation(s)
- Na Sun
- MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Leyla Anne Akay
- MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, USA
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Mitchell H Murdock
- Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, USA
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Yongjin Park
- MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Pathology and Laboratory Medicine, Department of Statistics, University of British Columbia, Vancouver, British Columbia, Canada
- Department of Molecular Oncology, BC Cancer, Vancouver, British Columbia, Canada
| | - Fabiola Galiana-Melendez
- Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, USA
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Adele Bubnys
- Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, USA
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Kyriaki Galani
- MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Hansruedi Mathys
- Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, USA
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
- Department of Neurobiology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Xueqiao Jiang
- Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, USA
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Ayesha P Ng
- Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, USA
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - David A Bennett
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Li-Huei Tsai
- Broad Institute of MIT and Harvard, Cambridge, MA, USA.
- Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, USA.
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA.
| | - Manolis Kellis
- MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA, USA.
- Broad Institute of MIT and Harvard, Cambridge, MA, USA.
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18
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Reitz C, Pericak-Vance MA, Foroud T, Mayeux R. A global view of the genetic basis of Alzheimer disease. Nat Rev Neurol 2023; 19:261-277. [PMID: 37024647 PMCID: PMC10686263 DOI: 10.1038/s41582-023-00789-z] [Citation(s) in RCA: 64] [Impact Index Per Article: 32.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/21/2023] [Indexed: 04/08/2023]
Abstract
The risk of Alzheimer disease (AD) increases with age, family history and informative genetic variants. Sadly, there is still no cure or means of prevention. As in other complex diseases, uncovering genetic causes of AD could identify underlying pathological mechanisms and lead to potential treatments. Rare, autosomal dominant forms of AD occur in middle age as a result of highly penetrant genetic mutations, but the most common form of AD occurs later in life. Large-scale, genome-wide analyses indicate that 70 or more genes or loci contribute to AD. One of the major factors limiting progress is that most genetic data have been obtained from non-Hispanic white individuals in Europe and North America, preventing the development of personalized approaches to AD in individuals of other ethnicities. Fortunately, emerging genetic data from other regions - including Africa, Asia, India and South America - are now providing information on the disease from a broader range of ethnicities. Here, we summarize the current knowledge on AD genetics in populations across the world. We predominantly focus on replicated genetic discoveries but also include studies in ethnic groups where replication might not be feasible. We attempt to identify gaps that need to be addressed to achieve a complete picture of the genetic and molecular factors that drive AD in individuals across the globe.
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Affiliation(s)
- Christiane Reitz
- The Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University, New York, NY, USA
- The Gertrude H. Sergievsky Center, Columbia University, New York, NY, USA
- Department of Neurology, Columbia University, New York, NY, USA
- Department of Epidemiology, Columbia University, New York, NY, USA
| | - Margaret A Pericak-Vance
- The John P. Hussman Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, FL, USA
- The Dr. John T. Macdonald Foundation Department of Human Genetics, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Tatiana Foroud
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
- National Centralized Repository for Alzheimer's Disease and Related Dementias, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Richard Mayeux
- The Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University, New York, NY, USA.
- The Gertrude H. Sergievsky Center, Columbia University, New York, NY, USA.
- Department of Neurology, Columbia University, New York, NY, USA.
- Department of Epidemiology, Columbia University, New York, NY, USA.
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19
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Miyashita A, Kikuchi M, Hara N, Ikeuchi T. Genetics of Alzheimer's disease: an East Asian perspective. J Hum Genet 2023; 68:115-124. [PMID: 35641666 PMCID: PMC9968656 DOI: 10.1038/s10038-022-01050-z] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Revised: 04/20/2022] [Accepted: 05/16/2022] [Indexed: 11/09/2022]
Abstract
Alzheimer's disease (AD) is an age-related multifactorial neurodegenerative disorder. Advances in genome technology, including next generation sequencing have uncovered complex genetic effects in AD by analyzing both common and rare functional variants. Multiple lines of evidence suggest that the pathogenesis of AD is influenced by multiple genetic components rather than single genetic factor. Previous genetic studies on AD have predominantly included European ancestry cohorts; hence, the non-European population may be underrepresented, potentially leading to reduced diversity in AD genetic research. Additionally, ethnic diversity may result in dissimilar effects of genetic determinants in AD. APOE genotypes are a well-established genetic risk factor in AD, with the East Asian population having a higher risk of AD associated with the APOE ε4 allele. To date, seven genome-wide association studies (GWAS) have been conducted in East Asians, which report a total of 26 AD-associated loci. Several rare variants, including the p.H157Y variant in TREM2, and the p.G186R and p.R274W variants in SHARPIN are associated with risk of AD in East Asians. Extending genetic studies to diverse populations, including East Asians is necessary, which could yield more comprehensive insights into AD, and here we review the recent findings regarding the genetic determinants of AD from an East Asian perspective.
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Affiliation(s)
- Akinori Miyashita
- Department of Molecular Genetics, Brain Research Institute, Niigata University, Niigata, Japan
| | - Masataka Kikuchi
- Department of Genome Informatics, Graduate School of Medicine, Osaka University, Osaka, Japan
- Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan
| | - Norikazu Hara
- Department of Molecular Genetics, Brain Research Institute, Niigata University, Niigata, Japan
| | - Takeshi Ikeuchi
- Department of Molecular Genetics, Brain Research Institute, Niigata University, Niigata, Japan.
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20
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Harerimana NV, Goate AM, Bowles KR. The influence of 17q21.31 and APOE genetic ancestry on neurodegenerative disease risk. Front Aging Neurosci 2022; 14:1021918. [PMID: 36337698 PMCID: PMC9632173 DOI: 10.3389/fnagi.2022.1021918] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Accepted: 09/26/2022] [Indexed: 09/08/2024] Open
Abstract
Advances in genomic research over the last two decades have greatly enhanced our knowledge concerning the genetic landscape and pathophysiological processes involved in multiple neurodegenerative diseases. However, current insights arise almost exclusively from studies on individuals of European ancestry. Despite this, studies have revealed that genetic variation differentially impacts risk for, and clinical presentation of neurodegenerative disease in non-European populations, conveying the importance of ancestry in predicting disease risk and understanding the biological mechanisms contributing to neurodegeneration. We review the genetic influence of two important disease-associated loci, 17q21.31 (the "MAPT locus") and APOE, to neurodegenerative disease risk in non-European populations, touching on global population differences and evolutionary genetics by ancestry that may underlie some of these differences. We conclude there is a need to increase representation of non-European ancestry individuals in genome-wide association studies (GWAS) and biomarker analyses in order to help resolve existing disparities in understanding risk for, diagnosis of, and treatment for neurodegenerative diseases in diverse populations.
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Affiliation(s)
- Nadia V. Harerimana
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States
- Ronald M. Loeb Center for Alzheimer’s Disease, Icahn School of Medicine at Mount Sinai, New York, NY, United States
- Icahn Genomics Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Alison M. Goate
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States
- Ronald M. Loeb Center for Alzheimer’s Disease, Icahn School of Medicine at Mount Sinai, New York, NY, United States
- Icahn Genomics Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States
- Estelle and Daniel Maggin Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Kathryn R. Bowles
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States
- Ronald M. Loeb Center for Alzheimer’s Disease, Icahn School of Medicine at Mount Sinai, New York, NY, United States
- Icahn Genomics Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States
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21
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Ruffini N, Klingenberg S, Heese R, Schweiger S, Gerber S. The Big Picture of Neurodegeneration: A Meta Study to Extract the Essential Evidence on Neurodegenerative Diseases in a Network-Based Approach. Front Aging Neurosci 2022; 14:866886. [PMID: 35832065 PMCID: PMC9271745 DOI: 10.3389/fnagi.2022.866886] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Accepted: 05/13/2022] [Indexed: 12/12/2022] Open
Abstract
The common features of all neurodegenerative diseases, including Alzheimer's disease, Parkinson's disease, Amyotrophic Lateral Sclerosis (ALS), and Huntington's disease, are the accumulation of aggregated and misfolded proteins and the progressive loss of neurons, leading to cognitive decline and locomotive dysfunction. Still, they differ in their ultimate manifestation, the affected brain region, and the kind of proteinopathy. In the last decades, a vast number of processes have been described as associated with neurodegenerative diseases, making it increasingly harder to keep an overview of the big picture forming from all those data. In this meta-study, we analyzed genomic, transcriptomic, proteomic, and epigenomic data of the aforementioned diseases using the data of 234 studies in a network-based approach to study significant general coherences but also specific processes in individual diseases or omics levels. In the analysis part, we focus on only some of the emerging findings, but trust that the meta-study provided here will be a valuable resource for various other researchers focusing on specific processes or genes contributing to the development of neurodegeneration.
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Affiliation(s)
- Nicolas Ruffini
- Institute of Human Genetics, University Medical Center, Johannes Gutenberg University, Mainz, Germany
- Leibniz Institute for Resilience Research, Leibniz Association, Mainz, Germany
| | - Susanne Klingenberg
- Institute of Human Genetics, University Medical Center, Johannes Gutenberg University, Mainz, Germany
| | - Raoul Heese
- Fraunhofer Institute for Industrial Mathematics (ITWM), Kaiserslautern, Germany
| | - Susann Schweiger
- Institute of Human Genetics, University Medical Center, Johannes Gutenberg University, Mainz, Germany
| | - Susanne Gerber
- Institute of Human Genetics, University Medical Center, Johannes Gutenberg University, Mainz, Germany
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22
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Single Cell/Nucleus Transcriptomics Comparison in Zebrafish and Humans Reveals Common and Distinct Molecular Responses to Alzheimer’s Disease. Cells 2022; 11:cells11111807. [PMID: 35681503 PMCID: PMC9180693 DOI: 10.3390/cells11111807] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Revised: 05/25/2022] [Accepted: 05/26/2022] [Indexed: 12/21/2022] Open
Abstract
Neurogenesis is significantly reduced in Alzheimer’s disease (AD) and is a potential therapeutic target. Contrary to humans, a zebrafish can regenerate its diseased brain, and thus is ideal for studying neurogenesis. To compare the AD-related molecular pathways between humans and zebrafish, we compared single cell or nuclear transcriptomic data from a zebrafish amyloid toxicity model and its controls (N = 12) with the datasets of two human adult brains (N = 10 and N = 48 (Microglia)), and one fetal brain (N = 10). Approximately 95.4% of the human and zebrafish cells co-clustered. Within each cell type, we identified differentially expressed genes (DEGs), enriched KEGG pathways, and gene ontology terms. We studied synergistic and non-synergistic DEGs to point at either common or uniquely altered mechanisms across species. Using the top DEGs, a high concordance in gene expression changes between species was observed in neuronal clusters. On the other hand, the molecular pathways affected by AD in zebrafish astroglia differed from humans in favor of the neurogenic pathways. The integration of zebrafish and human transcriptomes shows that the zebrafish can be used as a tool to study the cellular response to amyloid proteinopathies. Uniquely altered pathways in zebrafish could highlight the specific mechanisms underlying neurogenesis, which are absent in humans, and could serve as potential candidates for therapeutic developments.
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23
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Ueno M, Yoshino Y, Mori H, Funahashi Y, Kumon H, Ochi S, Ozaki T, Tachibana A, Yoshida T, Shimizu H, Mori T, Iga JI, Ueno SI. Association Study and Meta-Analysis of Polymorphisms and Blood mRNA Expression of the ALDH2 Gene in Patients with Alzheimer’s Disease. J Alzheimers Dis 2022; 87:863-871. [PMID: 35404279 PMCID: PMC9198735 DOI: 10.3233/jad-215627] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Background: Late-onset Alzheimer’s disease (LOAD) is a complex disease in which neuroinflammation plays an important pathophysiological role, and exposure to neurotoxic substrates such as aldehydes may contribute. Blood mRNA expression levels of neuroinflammation-related genes appear to be potential biological markers of LOAD. A relationship between ALDH2 and LOAD has been suggested. Objective: Our objective was to examine blood ALDH2 expression in Japanese LOAD patients, conduct a genetic association study, and add new studies to an extended meta-analysis of the Asian population. Methods: A blood expression study (45 AD subjects, 54 controls) in which total RNA was isolated from whole peripheral blood samples and ALDH2 expression measured was conducted. In addition, a genetic association study (271 AD subjects, 492 controls) using genomic DNA from whole peripheral blood samples was conducted. Finally, a meta-analysis examined the relationship between ALDH2*2 frequency and the risk of LOAD. Results: ALDH2 mRNA expression was significantly higher in LOAD than in controls, and also higher in men with LOAD than in women with LOAD (p = 0.043). The genotypes in the two classified groups and the allele frequency were significantly different between AD and control subjects. The meta-analysis showed a significant difference in the ALDH2*2 allele, with an increased AD risk (OR = 1.38; 95% CI = 1.02–1.85; p = 0.0348, I2 = 81.1%). Conclusion: There was a significant increase in blood ALDH2 expression, and a genetic association with ALDH2*2 in LOAD. ALDH2 may have significant roles in the pathogenesis of LOAD in the Asian population.
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Affiliation(s)
- Mariko Ueno
- Department of Neuropsychiatry, Molecules and Function, Ehime University Graduate School of Medicine, Shitsukawa, Toon, Ehime, Japan
| | - Yuta Yoshino
- Department of Neuropsychiatry, Molecules and Function, Ehime University Graduate School of Medicine, Shitsukawa, Toon, Ehime, Japan
| | - Hiroaki Mori
- Department of Neuropsychiatry, Molecules and Function, Ehime University Graduate School of Medicine, Shitsukawa, Toon, Ehime, Japan
| | - Yu Funahashi
- Department of Neuropsychiatry, Molecules and Function, Ehime University Graduate School of Medicine, Shitsukawa, Toon, Ehime, Japan
| | - Hiroshi Kumon
- Department of Neuropsychiatry, Molecules and Function, Ehime University Graduate School of Medicine, Shitsukawa, Toon, Ehime, Japan
| | - Shinichiro Ochi
- Department of Neuropsychiatry, Molecules and Function, Ehime University Graduate School of Medicine, Shitsukawa, Toon, Ehime, Japan
| | - Tomoki Ozaki
- Department of Neuropsychiatry, Molecules and Function, Ehime University Graduate School of Medicine, Shitsukawa, Toon, Ehime, Japan
| | - Ayumi Tachibana
- Department of Neuropsychiatry, Molecules and Function, Ehime University Graduate School of Medicine, Shitsukawa, Toon, Ehime, Japan
| | - Taku Yoshida
- Department of Neuropsychiatry, Molecules and Function, Ehime University Graduate School of Medicine, Shitsukawa, Toon, Ehime, Japan
| | - Hideaki Shimizu
- Department of Neuropsychiatry, Molecules and Function, Ehime University Graduate School of Medicine, Shitsukawa, Toon, Ehime, Japan
| | - Takaaki Mori
- Department of Neuropsychiatry, Molecules and Function, Ehime University Graduate School of Medicine, Shitsukawa, Toon, Ehime, Japan
| | - Jun-ichi Iga
- Department of Neuropsychiatry, Molecules and Function, Ehime University Graduate School of Medicine, Shitsukawa, Toon, Ehime, Japan
| | - Shu-ichi Ueno
- Department of Neuropsychiatry, Molecules and Function, Ehime University Graduate School of Medicine, Shitsukawa, Toon, Ehime, Japan
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