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Nicolas G. Lessons from genetic studies in Alzheimer disease. Rev Neurol (Paris) 2024; 180:368-377. [PMID: 38429159 DOI: 10.1016/j.neurol.2023.12.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Accepted: 12/27/2023] [Indexed: 03/03/2024]
Abstract
Research on Alzheimer disease (AD) genetics has provided critical advances to the knowledge of AD pathophysiological mechanisms. The etiology of AD can be divided into monogenic (autosomal dominant inheritance) and complex (multifactorial determinism). In monogenic AD, recent advances mainly concern mutation-associated mechanisms, presymptomatic clinical studies, and the search for modifiers of ages of onset that are still ongoing. In complex AD, genetic factors can be further categorized into three classes: (i) the APOE-ɛ4 and ɛ2 common alleles that represent a category by themselves as they are both common and with a strong impact on AD risk; (ii) common variants with a modest effect, identified in genome-wide association studies (GWAS); and (iii) rare variants with a moderate-to-strong effect, identified in case-control sequencing studies. Regarding APOE, odds ratios, available in multiple ethnicities, can now be converted into penetrance curves, although such curves remain to be performed in diverse ethnicities. In addition, advances in the understanding of mechanisms have been recently reported and rare APOE variants add to the complexity. In the GWAS category, novel loci have been discovered thanks to larger studies, doubling the number of hits as compared to the previous reference meta-analysis. However, such modest risk factors cannot be used in the clinic, neither individually, nor in genetic risk scores. In the category of rare variants, two novel genes, ABCA1 and ATP8B4 now add to the three main ones, TREM2, SORL1, and ABCA7. The study of such rare variants suggests oligogenic inheritance in some families, as also suggested by digenic penetrance curves for SORL1 loss-of-function variants with APOE-ɛ4. Cumulate frequencies of definite (so-called) rare risk factors are 2.3% to 3.6% (depending on thresholds on odds ratios) in control databases and many more remain to be classified and identified, showing how important these risk factors may be as part of the complex determinism of AD. A better understanding of these rare risk factors and their combined effects on each other, with common variants, and with environmental factors, should allow for a prediction of AD risk and, eventually, preventive medicine. Taken together, most genetic determinants of AD, in monogenic and in complex forms, point toward the aggregation of Aβ as a pivotal triggering factor, such that targeting it may be efficient as prevention in at-risk individuals. The role of neuroinflammation, microglia, and Tau pathology modulation are important sources of research for disease modification.
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Affiliation(s)
- G Nicolas
- Univ Rouen Normandie, Normandie Univ, Inserm U1245 and CHU Rouen, Department of Genetics and CNRMAJ, 76000 Rouen, France.
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2
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Nicolas G. Recent advances in Alzheimer disease genetics. Curr Opin Neurol 2024; 37:154-165. [PMID: 38235704 DOI: 10.1097/wco.0000000000001242] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2024]
Abstract
PURPOSE OF REVIEW Genetics studies provide important insights into Alzheimer disease (AD) etiology and mechanisms. Critical advances have been made recently, mainly thanks to the access to novel techniques and larger studies. RECENT FINDINGS In monogenic AD, progress has been made with a better understanding of the mechanisms associated with pathogenic variants and the input of clinical studies in presymptomatic individuals. In complex AD, increasing sample sizes in both DNA chip-based (genome-wide association studies, GWAS) and exome/genome sequencing case-control studies unveiled novel common and rare risk factors, while the understanding of their combined effect starts to suggest the existence of rare families with oligogenic inheritance of early-onset, nonmonogenic, AD. SUMMARY Most genetic risk factors with a known consequence designate the aggregation of the Aβ peptide as a core etiological factor in complex AD thus confirming that the research based on monogenic AD - where the amyloid cascade seems more straightforward - is relevant to complex AD as well. Novel mechanistic insights and risk factor studies unveiling novel factors and attempting to combine the effect of common and rare variants will offer promising perspectives for future AD prevention, at least regarding early-onset AD, and probably in case of later onset as well.
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Affiliation(s)
- Gaël Nicolas
- Univ Rouen Normandie, Normandie Univ, Inserm U1245 and CHU Rouen, Department of Genetics and CNRMAJ, F-76000 Rouen, France
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Butler CA, Mendoza Arvilla A, Milinkeviciute G, Da Cunha C, Kawauchi S, Rezaie N, Liang HY, Javonillo D, Thach A, Wang S, Collins S, Walker A, Shi KX, Neumann J, Gomez-Arboledas A, Henningfield CM, Hohsfield LA, Mapstone M, Tenner AJ, LaFerla FM, Mortazavi A, MacGregor GR, Green KN. The Abca7 V1613M variant reduces Aβ generation, plaque load, and neuronal damage. Alzheimers Dement 2024. [PMID: 38506634 DOI: 10.1002/alz.13783] [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: 10/09/2023] [Revised: 12/21/2023] [Accepted: 12/23/2023] [Indexed: 03/21/2024]
Abstract
BACKGROUND Variants in ABCA7, a member of the ABC transporter superfamily, have been associated with increased risk for developing late onset Alzheimer's disease (LOAD). METHODS CRISPR-Cas9 was used to generate an Abca7V1613M variant in mice, modeling the homologous human ABCA7V1599M variant, and extensive characterization was performed. RESULTS Abca7V1613M microglia show differential gene expression profiles upon lipopolysaccharide challenge and increased phagocytic capacity. Homozygous Abca7V1613M mice display elevated circulating cholesterol and altered brain lipid composition. When crossed with 5xFAD mice, homozygous Abca7V1613M mice display fewer Thioflavin S-positive plaques, decreased amyloid beta (Aβ) peptides, and altered amyloid precursor protein processing and trafficking. They also exhibit reduced Aβ-associated inflammation, gliosis, and neuronal damage. DISCUSSION Overall, homozygosity for the Abca7V1613M variant influences phagocytosis, response to inflammation, lipid metabolism, Aβ pathology, and neuronal damage in mice. This variant may confer a gain of function and offer a protective effect against Alzheimer's disease-related pathology. HIGHLIGHTS ABCA7 recognized as a top 10 risk gene for developing Alzheimer's disease. Loss of function mutations result in increased risk for LOAD. V1613M variant reduces amyloid beta plaque burden in 5xFAD mice. V1613M variant modulates APP processing and trafficking in 5xFAD mice. V1613M variant reduces amyloid beta-associated damage in 5xFAD mice.
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Affiliation(s)
- Claire A Butler
- Department of Neurobiology and Behavior, University of California, Irvine, California, USA
- Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, California, USA
| | - Adrian Mendoza Arvilla
- Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, California, USA
| | - Giedre Milinkeviciute
- Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, California, USA
| | - Celia Da Cunha
- Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, California, USA
| | - Shimako Kawauchi
- Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, California, USA
- Transgenic Mouse Facility, ULAR, Office of Research, University of California, Irvine, California, USA
| | - Narges Rezaie
- Department of Developmental and Cell Biology, University of California, Irvine, California, USA
- Center for Complex Biological Systems, University of California, Irvine, California, USA
| | - Heidi Y Liang
- Department of Developmental and Cell Biology, University of California, Irvine, California, USA
- Center for Complex Biological Systems, University of California, Irvine, California, USA
| | - Dominic Javonillo
- Department of Neurobiology and Behavior, University of California, Irvine, California, USA
| | - Annie Thach
- Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, California, USA
| | - Shuling Wang
- Transgenic Mouse Facility, ULAR, Office of Research, University of California, Irvine, California, USA
| | - Sherilyn Collins
- Transgenic Mouse Facility, ULAR, Office of Research, University of California, Irvine, California, USA
| | - Amber Walker
- Transgenic Mouse Facility, ULAR, Office of Research, University of California, Irvine, California, USA
| | - Kai-Xuan Shi
- Transgenic Mouse Facility, ULAR, Office of Research, University of California, Irvine, California, USA
| | - Jonathan Neumann
- Transgenic Mouse Facility, ULAR, Office of Research, University of California, Irvine, California, USA
| | - Angela Gomez-Arboledas
- Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, California, USA
| | - Caden M Henningfield
- Department of Neurobiology and Behavior, University of California, Irvine, California, USA
| | - Lindsay A Hohsfield
- Department of Neurobiology and Behavior, University of California, Irvine, California, USA
| | - Mark Mapstone
- Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, California, USA
- Department of Neurology, University of California, Irvine, California, USA
| | - Andrea J Tenner
- Department of Neurobiology and Behavior, University of California, Irvine, California, USA
- Department of Molecular Biology & Biochemistry, University of California, Irvine, California, USA
- Department of Pathology and Laboratory Medicine, University of California, Irvine, California, USA
| | - Frank M LaFerla
- Department of Neurobiology and Behavior, University of California, Irvine, California, USA
- Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, California, USA
| | - Ali Mortazavi
- Department of Developmental and Cell Biology, University of California, Irvine, California, USA
- Center for Complex Biological Systems, University of California, Irvine, California, USA
| | - Grant R MacGregor
- Transgenic Mouse Facility, ULAR, Office of Research, University of California, Irvine, California, USA
- Department of Developmental and Cell Biology, University of California, Irvine, California, USA
| | - Kim N Green
- Department of Neurobiology and Behavior, University of California, Irvine, California, USA
- Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, California, USA
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Olsen CG, Busk ØL, Holla ØL, Tveten K, Holmøy T, Tysnes OB, Høyer H. Genetic overlap between ALS and other neurodegenerative or neuromuscular disorders. Amyotroph Lateral Scler Frontotemporal Degener 2024; 25:177-187. [PMID: 37849306 DOI: 10.1080/21678421.2023.2270705] [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: 08/09/2023] [Accepted: 10/03/2023] [Indexed: 10/19/2023]
Abstract
OBJECTIVE In Norway, 89% of patients with Amyotrophic lateral sclerosis (ALS) lacks a genetic diagnose. ALS genes and genes that cause other neuromuscular or neurodegenerative disorders extensively overlap. This population-based study examined whether patients with ALS have a family history of neurological disorders and explored the occurrence of rare genetic variants associated with other neurodegenerative or neuromuscular disorders. METHODS During a two-year period, blood samples and clinical data from patients with ALS were collected from all 17 neurological departments in Norway. Our genetic analysis involved exome sequencing and bioinformatics filtering of 510 genes associated with neurodegenerative and neuromuscular disorders. The variants were interpreted using genotype-phenotype correlations and bioinformatics tools. RESULTS A total of 279 patients from a Norwegian population-based ALS cohort participated in this study. Thirty-one percent of the patients had first- or second-degree relatives with other neurodegenerative disorders, most commonly dementia and Parkinson's disease. The genetic analysis identified 20 possible pathogenic variants, in ATL3, AFG3L2, ATP7A, BICD2, HARS1, KIF1A, LRRK2, MSTO1, NEK1, NEFH, and SORL1, in 25 patients. NEK1 risk variants were present in 2.5% of this ALS cohort. Only four of the 25 patients reported relatives with other neurodegenerative or neuromuscular disorders. CONCLUSION Gene variants known to cause other neurodegenerative or neuromuscular disorders, most frequently in NEK1, were identified in 9% of the patients with ALS. Most of these patients had no family history of other neurodegenerative or neuromuscular disorders. Our findings indicated that AFG3L2, ATP7A, BICD2, KIF1A, and MSTO1 should be further explored as potential ALS-causing genes.
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Affiliation(s)
- Cathrine Goberg Olsen
- Department of Medical Genetics, Telemark Hospital Trust, Skien, Norway
- Institute of Clinical Medicine, University of Oslo, Nordbyhagen, Norway
| | | | | | - Kristian Tveten
- Department of Medical Genetics, Telemark Hospital Trust, Skien, Norway
| | - Trygve Holmøy
- Institute of Clinical Medicine, University of Oslo, Nordbyhagen, Norway
- Department of Neurology, Akershus University Hospital, Lørenskog, Norway, and
| | - Ole-Bjørn Tysnes
- Department of Neurology, Haukeland University Hospital, Bergen, Norway
| | - Helle Høyer
- Department of Medical Genetics, Telemark Hospital Trust, Skien, Norway
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Mušálková D, Přistoupilová A, Jedličková I, Hartmannová H, Trešlová H, Nosková L, Hodaňová K, Bittmanová P, Stránecký V, Jiřička V, Langmajerová M, Woodbury‐Smith M, Zarrei M, Trost B, Scherer SW, Bleyer AJ, Vevera J, Kmoch S. Increased burden of rare protein-truncating variants in constrained, brain-specific and synaptic genes in extremely impulsively violent males with antisocial personality disorder. GENES, BRAIN, AND BEHAVIOR 2024; 23:e12882. [PMID: 38359179 PMCID: PMC10869132 DOI: 10.1111/gbb.12882] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Revised: 12/11/2023] [Accepted: 01/03/2024] [Indexed: 02/17/2024]
Abstract
The genetic correlates of extreme impulsive violence are poorly understood, and there have been few studies that have characterized a large group of affected individuals both clinically and genetically. We performed whole exome sequencing (WES) in 290 males with the life-course-persistent, extremely impulsively violent form of antisocial personality disorder (APD) and analyzed the spectrum of rare protein-truncating variants (rPTVs). Comparisons were made with 314 male controls and publicly available genotype data. Functional annotation tools were used for biological interpretation. Participants were significantly more likely to harbor rPTVs in genes that are intolerant to loss-of-function variants (odds ratio [OR] 2.06; p < 0.001), specifically expressed in brain (OR 2.80; p = 0.036) and enriched for those involved in neurotransmitter transport and synaptic processes. In 60 individuals (20%), we identified rPTVs that we classified as clinically relevant based on their clinical associations, biological function and gene expression patterns. Of these, 37 individuals harbored rPTVs in 23 genes that are associated with a monogenic neurological disorder, and 23 individuals harbored rPTVs in 20 genes reportedly intolerant to loss-of-function variants. The analysis presents evidence in support of a model where presence of either one or several private, functionally relevant mutations contribute significantly to individual risk of life-course-persistent APD and reveals multiple individuals who could be affected by clinically unrecognized neuropsychiatric Mendelian disease. Thus, Mendelian diseases and increased rPTV burden may represent important factors for the development of extremely impulsive violent life-course-persistent forms of APD irrespective of their clinical presentation.
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Affiliation(s)
- Dita Mušálková
- Research Unit for Rare Diseases, Department of Pediatrics and Inherited Metabolic Disorders, First Faculty of MedicineCharles University in Prague and General University Hospital in PraguePragueCzech Republic
| | - Anna Přistoupilová
- Research Unit for Rare Diseases, Department of Pediatrics and Inherited Metabolic Disorders, First Faculty of MedicineCharles University in Prague and General University Hospital in PraguePragueCzech Republic
| | - Ivana Jedličková
- Research Unit for Rare Diseases, Department of Pediatrics and Inherited Metabolic Disorders, First Faculty of MedicineCharles University in Prague and General University Hospital in PraguePragueCzech Republic
| | - Hana Hartmannová
- Research Unit for Rare Diseases, Department of Pediatrics and Inherited Metabolic Disorders, First Faculty of MedicineCharles University in Prague and General University Hospital in PraguePragueCzech Republic
| | - Helena Trešlová
- Research Unit for Rare Diseases, Department of Pediatrics and Inherited Metabolic Disorders, First Faculty of MedicineCharles University in Prague and General University Hospital in PraguePragueCzech Republic
| | - Lenka Nosková
- Research Unit for Rare Diseases, Department of Pediatrics and Inherited Metabolic Disorders, First Faculty of MedicineCharles University in Prague and General University Hospital in PraguePragueCzech Republic
| | - Kateřina Hodaňová
- Research Unit for Rare Diseases, Department of Pediatrics and Inherited Metabolic Disorders, First Faculty of MedicineCharles University in Prague and General University Hospital in PraguePragueCzech Republic
| | - Petra Bittmanová
- Research Unit for Rare Diseases, Department of Pediatrics and Inherited Metabolic Disorders, First Faculty of MedicineCharles University in Prague and General University Hospital in PraguePragueCzech Republic
| | - Viktor Stránecký
- Research Unit for Rare Diseases, Department of Pediatrics and Inherited Metabolic Disorders, First Faculty of MedicineCharles University in Prague and General University Hospital in PraguePragueCzech Republic
| | - Václav Jiřička
- Department of PsychologyPrison Service of the Czech RepublicPragueCzech Republic
- Department of Psychiatry, Faculty of Medicine in PilsenCharles UniversityPilsenCzech Republic
| | - Michaela Langmajerová
- Department of Psychiatry, Faculty of Medicine in PilsenCharles UniversityPilsenCzech Republic
| | - Marc Woodbury‐Smith
- The Centre for Applied Genomics and Program in Genetics and Genome Biology, The Hospital for Sick ChildrenTorontoOntarioCanada
- Faculty of Medical Sciences, Biosciences InstituteNewcastle UniversityNewcastle upon TyneUK
| | - Mehdi Zarrei
- The Centre for Applied Genomics and Program in Genetics and Genome Biology, The Hospital for Sick ChildrenTorontoOntarioCanada
| | - Brett Trost
- The Centre for Applied Genomics and Program in Genetics and Genome Biology, The Hospital for Sick ChildrenTorontoOntarioCanada
| | - Stephen W. Scherer
- The Centre for Applied Genomics and Program in Genetics and Genome Biology, The Hospital for Sick ChildrenTorontoOntarioCanada
- Department of Molecular Genetics and McLaughlin CentreUniversity of TorontoTorontoOntarioCanada
| | - Anthony J. Bleyer
- Research Unit for Rare Diseases, Department of Pediatrics and Inherited Metabolic Disorders, First Faculty of MedicineCharles University in Prague and General University Hospital in PraguePragueCzech Republic
- Section on Nephrology, Wake Forest School of MedicineWinston‐SalemNorth CarolinaUSA
| | - Jan Vevera
- Department of Psychiatry, Faculty of Medicine in PilsenCharles UniversityPilsenCzech Republic
- Department of PsychiatryUniversity Hospital PilsenPilsenCzech Republic
| | - Stanislav Kmoch
- Research Unit for Rare Diseases, Department of Pediatrics and Inherited Metabolic Disorders, First Faculty of MedicineCharles University in Prague and General University Hospital in PraguePragueCzech Republic
- Department of Psychiatry, Faculty of Medicine in PilsenCharles UniversityPilsenCzech Republic
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Tang T, Li X, Yu E, Li M, Pan X. Identification of common core ion channel genes in epilepsy and Alzheimer's disease. Ir J Med Sci 2024; 193:417-424. [PMID: 37477849 DOI: 10.1007/s11845-023-03447-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2023] [Accepted: 06/23/2023] [Indexed: 07/22/2023]
Abstract
BACKGROUND Although available literature indicates that the incidence of dementia in the epilepsy population and the risk of seizures in the Alzheimer's disease (AD) population are high, the specific genetic risk factors and the interaction mechanism are unclear, rendering rational genetic interpretation rather challenging. AIMS Our work aims to identify the common core ion channel genes in epilepsy and AD. METHODS In this study, we first integrated gene expression omnibus datasets (GSE48350 and GSE6834) on AD and epilepsy to identify differentially expressed genes (DEGs), performing Gene Ontology function and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis of DEGs. The related protein-protein interaction (PPI) network was constructed for DEGs, and the hub gene was evaluated. RESULTS A total of 2800 and 35 genes were identified in GSE48350 and GSE6834, and 12 DEGs were significantly differentially expressed between the datasets. KEGG pathway analysis showed that DEGs were primarily enriched in glutamatergic synapse and dopaminergic synapse pathways. SCN2A, GRIA1, and KCNJ9 were the hub genes with high connectivity. CONCLUSIONS The findings suggest that the three genes, SCN2A, GRIA1, and KCNJ9, may serve as potential targets for treating AD comorbid with epilepsy.
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Affiliation(s)
- Ting Tang
- Department of Neurology, The Second Affiliated Hospital of Fujian Medical University, 34 Zhongshan North Road, Quanzhou, Fujian, 362000, People's Republic of China
| | - Xiang Li
- Department of Neurology, Fujian Medical University Union Hospital, 29 Xinquan Road, Fuzhou, Fujian, 350001, People's Republic of China
| | - Erhan Yu
- Department of Neurology, Fujian Medical University Union Hospital, 29 Xinquan Road, Fuzhou, Fujian, 350001, People's Republic of China
| | - Man Li
- Department of Neurology, Fujian Medical University Union Hospital, 29 Xinquan Road, Fuzhou, Fujian, 350001, People's Republic of China
| | - Xiaodong Pan
- Department of Neurology, Center for Cognitive Neurology, Fujian Institute of Geriatrics, Fujian Medical University Union Hospital, 29 Xinquan Road, Fuzhou, Fujian, 350001, People's Republic of China.
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Abu-Amara H, Zhao W, Li Z, Leung YY, Schellenberg GD, Wang LS, Moorjani P, Dey A, Dey S, Zhou X, Gross AL, Lee J, Kardia SL, Smith JA. Region-based analysis with functional annotation identifies genes associated with cognitive function in South Asians from India. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.01.18.24301482. [PMID: 38293024 PMCID: PMC10827235 DOI: 10.1101/2024.01.18.24301482] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/01/2024]
Abstract
The prevalence of dementia among South Asians across India is approximately 7.4% in those 60 years and older, yet little is known about genetic risk factors for dementia in this population. Most known risk loci for Alzheimer's disease (AD) have been identified from studies conducted in European Ancestry (EA) but are unknown in South Asians. Using whole-genome sequence data from 2680 participants from the Diagnostic Assessment of Dementia for the Longitudinal Aging Study of India (LASI-DAD), we performed a gene-based analysis of 84 genes previously associated with AD in EA. We investigated associations with the Hindi Mental State Examination (HMSE) score and factor scores for general cognitive function and five cognitive domains. For each gene, we examined missense/loss-of-function (LoF) variants and brain-specific promoter/enhancer variants, separately, both with and without incorporating additional annotation weights (e.g., deleteriousness, conservation scores) using the variant-Set Test for Association using Annotation infoRmation (STAAR). In the missense/LoF analysis without annotation weights and controlling for age, sex, state/territory, and genetic ancestry, three genes had an association with at least one measure of cognitive function (FDR q<0.1). APOE was associated with four measures of cognitive function, PICALM was associated with HMSE score, and TSPOAP1 was associated with executive function. The most strongly associated variants in each gene were rs429358 (APOE ε4), rs779406084 (PICALM), and rs9913145 (TSPOAP1). rs779406084 is a rare missense mutation that is more prevalent in LASI-DAD than in EA (minor allele frequency=0.075% vs. 0.0015%); the other two are common variants. No genes in the brain-specific promoter/enhancer analysis met criteria for significance. Results with and without annotation weights were similar. Missense/LoF variants in some genes previously associated with AD in EA are associated with measures of cognitive function in South Asians from India. Analyzing genome sequence data allows identification of potential novel causal variants enriched in South Asians.
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Affiliation(s)
- Hasan Abu-Amara
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan, United States of America
| | - Wei Zhao
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan, United States of America
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, Michigan, United States of America
| | - Zheng Li
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, Michigan, United States of America
| | - Yuk Yee Leung
- Penn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, United States of America
| | - Gerard D. Schellenberg
- Penn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, United States of America
| | - Li-San Wang
- Penn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, United States of America
| | - Priya Moorjani
- Department of Molecular and Cell Biology, University of California, Berkeley, United States of America
- Center for Computational Biology, University of California, Berkeley, United States of America
| | - A.B. Dey
- Department of Geriatric Medicine, All India Institute of Medical Sciences, New Delhi, India
| | - Sharmitha Dey
- Department of Biophysics, All India Institute of Medical Sciences, New Delhi, India
| | - Xiang Zhou
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, Michigan, United States of America
| | - Alden L. Gross
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, United States of America
| | - Jinkook Lee
- Department of Economics, University of Southern California, Los Angeles, California, United States of America
| | - Sharon L.R. Kardia
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan, United States of America
| | - Jennifer A. Smith
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan, United States of America
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, Michigan, United States of America
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8
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Hijazi S, Smit AB, van Kesteren RE. Fast-spiking parvalbumin-positive interneurons in brain physiology and Alzheimer's disease. Mol Psychiatry 2023; 28:4954-4967. [PMID: 37419975 PMCID: PMC11041664 DOI: 10.1038/s41380-023-02168-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/18/2023] [Revised: 06/26/2023] [Accepted: 06/26/2023] [Indexed: 07/09/2023]
Abstract
Fast-spiking parvalbumin (PV) interneurons are inhibitory interneurons with unique morphological and functional properties that allow them to precisely control local circuitry, brain networks and memory processing. Since the discovery in 1987 that PV is expressed in a subset of fast-spiking GABAergic inhibitory neurons, our knowledge of the complex molecular and physiological properties of these cells has been expanding. In this review, we highlight the specific properties of PV neurons that allow them to fire at high frequency and with high reliability, enabling them to control network oscillations and shape the encoding, consolidation and retrieval of memories. We next discuss multiple studies reporting PV neuron impairment as a critical step in neuronal network dysfunction and cognitive decline in mouse models of Alzheimer's disease (AD). Finally, we propose potential mechanisms underlying PV neuron dysfunction in AD and we argue that early changes in PV neuron activity could be a causal step in AD-associated network and memory impairment and a significant contributor to disease pathogenesis.
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Affiliation(s)
- Sara Hijazi
- Department of Pharmacology, University of Oxford, Oxford, OX1 3QT, UK
| | - August B Smit
- Department of Molecular and Cellular Neurobiology, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, 1081 HV, Amsterdam, The Netherlands
| | - Ronald E van Kesteren
- Department of Molecular and Cellular Neurobiology, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, 1081 HV, Amsterdam, The Netherlands.
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9
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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: 10] [Impact Index Per Article: 10.0] [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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10
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Bourquard T, Lee K, Al-Ramahi I, Pham M, Shapiro D, Lagisetty Y, Soleimani S, Mota S, Wilhelm K, Samieinasab M, Kim YW, Huh E, Asmussen J, Katsonis P, Botas J, Lichtarge O. Functional variants identify sex-specific genes and pathways in Alzheimer's Disease. Nat Commun 2023; 14:2765. [PMID: 37179358 PMCID: PMC10183026 DOI: 10.1038/s41467-023-38374-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2022] [Accepted: 04/28/2023] [Indexed: 05/15/2023] Open
Abstract
The incidence of Alzheimer's Disease in females is almost double that of males. To search for sex-specific gene associations, we build a machine learning approach focused on functionally impactful coding variants. This method can detect differences between sequenced cases and controls in small cohorts. In the Alzheimer's Disease Sequencing Project with mixed sexes, this approach identified genes enriched for immune response pathways. After sex-separation, genes become specifically enriched for stress-response pathways in male and cell-cycle pathways in female. These genes improve disease risk prediction in silico and modulate Drosophila neurodegeneration in vivo. Thus, a general approach for machine learning on functionally impactful variants can uncover sex-specific candidates towards diagnostic biomarkers and therapeutic targets.
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Affiliation(s)
- Thomas Bourquard
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Kwanghyuk Lee
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Ismael Al-Ramahi
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, 77030, USA
- Jan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX, 77030, USA
- Center for Alzheimer's and Neurodegenerative Diseases, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Minh Pham
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Dillon Shapiro
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Yashwanth Lagisetty
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, 77030, USA
- Department of Biology and Pharmacology, UTHealth McGovern Medical School, Houston, TX, 77030, USA
| | - Shirin Soleimani
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Samantha Mota
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Kevin Wilhelm
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Maryam Samieinasab
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Young Won Kim
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Eunna Huh
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Jennifer Asmussen
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Panagiotis Katsonis
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Juan Botas
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, 77030, USA
- Jan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX, 77030, USA
- Center for Alzheimer's and Neurodegenerative Diseases, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Olivier Lichtarge
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, 77030, USA.
- Center for Alzheimer's and Neurodegenerative Diseases, Baylor College of Medicine, Houston, TX, 77030, USA.
- Computational and Integrative Biomedical Research Center, Baylor College of Medicine, Houston, TX, 77030, USA.
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11
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Abstract
ABC transporters are essential for cellular physiology. Humans have 48 ABC genes organized into seven distinct families. Of these genes, 44 (in five distinct families) encode for membrane transporters, of which several are involved in drug resistance and disease pathways resulting from transporter dysfunction. Over the last decade, advances in structural biology have vastly expanded our mechanistic understanding of human ABC transporter function, revealing details of their molecular arrangement, regulation, and interactions, facilitated in large part by advances in cryo-EM that have rendered hitherto inaccessible targets amenable to high-resolution structural analysis. As a result, experimentally determined structures of multiple members of each of the five families of ABC transporters in humans are now available. Here we review this recent progress, highlighting the physiological relevance of human ABC transporters and mechanistic insights gleaned from their direct structure determination. We also discuss the impact and limitations of model systems and structure prediction methods in understanding human ABC transporters and discuss current challenges and future research directions.
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Affiliation(s)
- Amer Alam
- The Hormel Institute, University of Minnesota, Austin, Minnesota, USA
| | - Kaspar P Locher
- Institute of Molecular Biology and Biophysics, ETH Zurich, Switzerland;
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12
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Mathioudakis L, Dimovasili C, Bourbouli M, Latsoudis H, Kokosali E, Gouna G, Vogiatzi E, Basta M, Kapetanaki S, Panagiotakis S, Kanterakis A, Boumpas D, Lionis C, Plaitakis A, Simos P, Vgontzas A, Kafetzopoulos D, Zaganas I. Study of Alzheimer's disease- and frontotemporal dementia-associated genes in the Cretan Aging Cohort. Neurobiol Aging 2023; 123:111-128. [PMID: 36117051 DOI: 10.1016/j.neurobiolaging.2022.07.002] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2022] [Revised: 07/03/2022] [Accepted: 07/04/2022] [Indexed: 02/02/2023]
Abstract
Using exome sequencing, we analyzed 196 participants of the Cretan Aging Cohort (CAC; 95 with Alzheimer's disease [AD], 20 with mild cognitive impairment [MCI], and 81 cognitively normal controls). The APOE ε4 allele was more common in AD patients (23.2%) than in controls (7.4%; p < 0.01) and the PSEN2 p.Arg29His and p.Cys391Arg variants were found in 3 AD and 1 MCI patient, respectively. Also, we found the frontotemporal dementia (FTD)-associated TARDBP gene p.Ile383Val variant in 2 elderly patients diagnosed with AD and in 2 patients, non CAC members, with the amyotrophic lateral sclerosis/FTD phenotype. Furthermore, the p.Ser498Ala variant in the positively selected GLUD2 gene was less frequent in AD patients (2.11%) than in controls (16%; p < 0.01), suggesting a possible protective effect. While the same trend was found in another local replication cohort (n = 406) and in section of the ADNI cohort (n = 808), this finding did not reach statistical significance and therefore it should be considered preliminary. Our results attest to the value of genetic testing to study aged adults with AD phenotype.
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Affiliation(s)
- Lambros Mathioudakis
- University of Crete, Medical School, Neurology/Neurogenetics Laboratory, Heraklion, Crete, Greece
| | - Christina Dimovasili
- University of Crete, Medical School, Neurology/Neurogenetics Laboratory, Heraklion, Crete, Greece
| | - Mara Bourbouli
- University of Crete, Medical School, Neurology/Neurogenetics Laboratory, Heraklion, Crete, Greece
| | - Helen Latsoudis
- Minotech Genomics Facility, Institute of Molecular Biology and Biotechnology (IMBB-FORTH), Heraklion, Crete, Greece
| | - Evgenia Kokosali
- University of Crete, Medical School, Neurology/Neurogenetics Laboratory, Heraklion, Crete, Greece
| | - Garyfallia Gouna
- University of Crete, Medical School, Neurology/Neurogenetics Laboratory, Heraklion, Crete, Greece
| | - Emmanouella Vogiatzi
- University of Crete, Medical School, Neurology/Neurogenetics Laboratory, Heraklion, Crete, Greece
| | - Maria Basta
- University of Crete, Medical School, Psychiatry Department, Heraklion, Crete, Greece
| | - Stefania Kapetanaki
- University of Crete, Medical School, Neurology/Neurogenetics Laboratory, Heraklion, Crete, Greece
| | - Simeon Panagiotakis
- University of Crete, Medical School, Internal Medicine Department, Heraklion, Crete, Greece
| | - Alexandros Kanterakis
- Computational BioMedicine Laboratory, Institute of Computer Science, Foundation for Research and Technology - Hellas (ICS-FORTH), Heraklion, Crete, Greece
| | - Dimitrios Boumpas
- University of Crete, Medical School, Internal Medicine Department, Heraklion, Crete, Greece
| | - Christos Lionis
- University of Crete, Medical School, Clinic of Social and Family Medicine, Heraklion, Crete, Greece
| | - Andreas Plaitakis
- University of Crete, Medical School, Neurology/Neurogenetics Laboratory, Heraklion, Crete, Greece
| | - Panagiotis Simos
- University of Crete, Medical School, Psychiatry Department, Heraklion, Crete, Greece
| | - Alexandros Vgontzas
- University of Crete, Medical School, Psychiatry Department, Heraklion, Crete, Greece
| | - Dimitrios Kafetzopoulos
- Minotech Genomics Facility, Institute of Molecular Biology and Biotechnology (IMBB-FORTH), Heraklion, Crete, Greece
| | - Ioannis Zaganas
- University of Crete, Medical School, Neurology/Neurogenetics Laboratory, Heraklion, Crete, Greece.
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13
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Yang Q, Wang J, Mi N, Zou Y. Literature Overview of the Relation Between Psoriasis and Alzheimer. Neuropsychiatr Dis Treat 2023; 19:461-468. [PMID: 36879948 PMCID: PMC9985423 DOI: 10.2147/ndt.s403854] [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: 01/06/2023] [Accepted: 02/22/2023] [Indexed: 03/04/2023] Open
Abstract
The most common type of dementia disease is Alzheimer, which placing a heavy burden on the healthcare system all over the world. At the same time, psoriasis is also one of the most common health problems, as a skin disease. Alzheimer's disease (AD) is more often in patients with psoriasis than in the general people. Several evidence has proved the relation between AD and psoriasis through immune-mediated pathophysiologic processes. This review aims to summary the potential relation between AD and psoriasis, and provide suggestions based on the relationship at the same time. Neurologists, dermatologists should pay attention to the relationship between Alzheimer's disease and psoriasis. Dermatology and neurology need referral each other when it is necessary.
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Affiliation(s)
- Qian Yang
- Department of Obstetrics, Renmin Hospital, Hubei University of Medicine, Shiyan, People’s Republic of China
| | - Jing Wang
- Department of Dermatology, Renmin Hospital, Hubei University of Medicine, Shiyan, People’s Republic of China
| | - Ningyu Mi
- Department of Dermatology, Renmin Hospital, Hubei University of Medicine, Shiyan, People’s Republic of China
| | - Yulin Zou
- Department of Dermatology, Renmin Hospital, Hubei University of Medicine, Shiyan, People’s Republic of China
- Department of Dermatology, Jinzhou Medical University Graduate Training Base, Renmin Hospital, Hubei University of Medicine, Shiyan, People’s Republic of China
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14
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Le LTM, Thompson JR, Dehghani‐Ghahnaviyeh S, Pant S, Dang PX, French JB, Kanikeyo T, Tajkhorshid E, Alam A. Cryo-EM structures of human ABCA7 provide insights into its phospholipid translocation mechanisms. EMBO J 2023; 42:e111065. [PMID: 36484366 PMCID: PMC9890230 DOI: 10.15252/embj.2022111065] [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: 03/02/2022] [Revised: 11/07/2022] [Accepted: 11/10/2022] [Indexed: 12/13/2022] Open
Abstract
Phospholipid extrusion by ABC subfamily A (ABCA) exporters is central to cellular physiology, although the specifics of the underlying substrate interactions and transport mechanisms remain poorly resolved at the molecular level. Here we report cryo-EM structures of lipid-embedded human ABCA7 in an open state and in a nucleotide-bound, closed state at resolutions between 3.6 and 4.0 Å. The former reveals an ordered patch of bilayer lipids traversing the transmembrane domain (TMD), while the latter reveals a lipid-free, closed TMD with a small extracellular opening. These structures offer a structural framework for both substrate entry and exit from the ABCA7 TMD and highlight conserved rigid-body motions that underlie the associated conformational transitions. Combined with functional analysis and molecular dynamics (MD) simulations, our data also shed light on lipid partitioning into the ABCA7 TMD and localized membrane perturbations that underlie ABCA7 function and have broader implications for other ABCA family transporters.
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Affiliation(s)
- Le Thi My Le
- The Hormel InstituteUniversity of MinnesotaAustinMNUSA
| | | | - Sepehr Dehghani‐Ghahnaviyeh
- Theoretical and Computational Biophysics Group, NIH Center for Macromolecular Modeling and Bioinformatics, Beckman Institute for Advanced Science and Technology, Department of Biochemistry, and Center for Biophysics and Quantitative BiologyUniversity of Illinois at Urbana‐ChampaignUrbanaILUSA
| | - Shashank Pant
- Theoretical and Computational Biophysics Group, NIH Center for Macromolecular Modeling and Bioinformatics, Beckman Institute for Advanced Science and Technology, Department of Biochemistry, and Center for Biophysics and Quantitative BiologyUniversity of Illinois at Urbana‐ChampaignUrbanaILUSA
- Present address:
Loxo Oncology at LillyLouisvilleCOUSA
| | | | | | | | - Emad Tajkhorshid
- Theoretical and Computational Biophysics Group, NIH Center for Macromolecular Modeling and Bioinformatics, Beckman Institute for Advanced Science and Technology, Department of Biochemistry, and Center for Biophysics and Quantitative BiologyUniversity of Illinois at Urbana‐ChampaignUrbanaILUSA
| | - Amer Alam
- The Hormel InstituteUniversity of MinnesotaAustinMNUSA
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15
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Moore JM, Bell EL, Hughes RO, Garfield AS. ABC transporters: human disease and pharmacotherapeutic potential. Trends Mol Med 2023; 29:152-172. [PMID: 36503994 DOI: 10.1016/j.molmed.2022.11.001] [Citation(s) in RCA: 17] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Revised: 10/24/2022] [Accepted: 11/01/2022] [Indexed: 12/12/2022]
Abstract
Adenosine triphosphate (ATP)-binding cassette (ABC) transporters are a 48-member superfamily of membrane proteins that actively transport a variety of biological substrates across lipid membranes. Their functional diversity defines an expansive involvement in myriad aspects of human biology. At least 21 ABC transporters underlie rare monogenic disorders, with even more implicated in the predisposition to and symptomology of common and complex diseases. Such broad (patho)physiological relevance places this class of proteins at the intersection of disease causation and therapeutic potential, underlining them as promising targets for drug discovery, as exemplified by the transformative CFTR (ABCC7) modulator therapies for cystic fibrosis. This review will explore the growing relevance of ABC transporters to human disease and their potential as small-molecule drug targets.
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16
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Lardelli M. An Alternative View of Familial Alzheimer's Disease Genetics. J Alzheimers Dis 2023; 96:13-39. [PMID: 37718800 DOI: 10.3233/jad-230313] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/19/2023]
Abstract
Probabilistic and parsimony-based arguments regarding available genetics data are used to propose that Hardy and Higgin's amyloid cascade hypothesis is valid but is commonly interpreted too narrowly to support, incorrectly, the primacy of the amyloid-β peptide (Aβ) in driving Alzheimer's disease pathogenesis. Instead, increased activity of the βCTF (C99) fragment of AβPP is the critical pathogenic determinant altered by mutations in the APP gene. This model is consistent with the regulation of APP mRNA translation via its 5' iron responsive element. Similar arguments support that the pathological effects of familial Alzheimer's disease mutations in the genes PSEN1 and PSEN2 are not exerted directly via changes in AβPP cleavage to produce different ratios of Aβ length. Rather, these mutations likely act through effects on presenilin holoprotein conformation and function, and possibly the formation and stability of multimers of presenilin holoprotein and/or of the γ-secretase complex. All fAD mutations in APP, PSEN1, and PSEN2 likely find unity of pathological mechanism in their actions on endolysosomal acidification and mitochondrial function, with detrimental effects on iron homeostasis and promotion of "pseudo-hypoxia" being of central importance. Aβ production is enhanced and distorted by oxidative stress and accumulates due to decreased lysosomal function. It may act as a disease-associated molecular pattern enhancing oxidative stress-driven neuroinflammation during the cognitive phase of the disease.
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Affiliation(s)
- Michael Lardelli
- Alzheimer's Disease Genetics Laboratory, School of Biological Sciences, University of Adelaide, Adelaide, SA, Australia
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17
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Miguel L, Gervais J, Nicolas G, Lecourtois M. SorLA Protective Function Is Restored by Improving SorLA Protein Maturation in a Subset of Alzheimer's Disease-Associated SORL1 Missense Variants. J Alzheimers Dis 2023; 94:1343-1349. [PMID: 37424467 DOI: 10.3233/jad-230211] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/11/2023]
Abstract
SORL1 loss of function is associated with Alzheimer's disease (AD) risk through increased Aβ peptide secretion. We expressed 10 maturation-defective rare missense SORL1 variants in HEK cells and showed that decreasing growing temperature led to a significant increase in the maturation of the encoded protein SorLA for 6/10. In edited hiPSC carrying two of these variants, maturation of the protein was restored partially by decreasing the culture temperature and was associated with concomitant decrease in Aβ secretion. Correcting SorLA maturation in the context of maturation-defective missense variants could thus be a relevant strategy to improve SorLA protective function against AD.
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Affiliation(s)
- Laetitia Miguel
- Univ Rouen Normandie, Inserm U1245 and CHU Rouen, Department of Genetics and CNR-MAJ, F-76000 Rouen, France
| | - Juliette Gervais
- Univ Rouen Normandie, Inserm U1245 and CHU Rouen, Department of Genetics and CNR-MAJ, F-76000 Rouen, France
| | - Gaël Nicolas
- Univ Rouen Normandie, Inserm U1245 and CHU Rouen, Department of Genetics and CNR-MAJ, F-76000 Rouen, France
| | - Magalie Lecourtois
- Univ Rouen Normandie, Inserm U1245 and CHU Rouen, Department of Genetics and CNR-MAJ, F-76000 Rouen, France
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18
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Umfleet LG, Bilder RM, Loring DW, Thames A, Hampstead BM, Bauer RM, Drane DL, Cavanagh L. The Future of Cognitive Screening in Neurodegenerative Diseases. J Alzheimers Dis 2023; 93:47-59. [PMID: 36970899 DOI: 10.3233/jad-221077] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/09/2023]
Abstract
Cognitive screening instruments (CSI) have variable sensitivity and specificity to the cognitive changes associated with dementia syndromes, and the most recent systematic review found insufficient evidence to support the benefit of cognitive screening tools in older adults residing within the community. Consequently, there is a critical need to improve CSI methods, which have not yet incorporated advances in psychometrics, neuroscience, and technology. The primary goal of this article is to provide a framework for transitioning from legacy CSIs to advanced dementia screening measurement. In line with ongoing efforts in neuropsychology and the call for next-generation digital assessment for early detection of AD, we propose a psychometrically advanced (including application of item response theory methods), automated selective assessment model that provides a framework to help propel an assessment revolution. Further, we present a three-phase model for modernizing CSIs and discuss critical diversity and inclusion issues, current challenges in differentiating normal from pathological aging, and ethical considerations.
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Affiliation(s)
| | - Robert M Bilder
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA
| | - David W Loring
- Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA
- Department of Pediatrics, Emory University School of Medicine, Atlanta, GA, USA
| | - April Thames
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA
| | - Benjamin M Hampstead
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
- Mental Health Service, VA Ann Arbor Healthcare System, Ann Arbor, MI, USA
| | - Russell M Bauer
- Department of Clinical and Health Psychology, University of Florida, Gainesville, FL, USA
| | - Daniel L Drane
- Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA
- Department of Pediatrics, Emory University School of Medicine, Atlanta, GA, USA
| | - Lucia Cavanagh
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA
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19
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A Patient with Corticobasal Syndrome and Progressive Non-Fluent Aphasia (CBS-PNFA), with Variants in ATP7B, SETX, SORL1, and FOXP1 Genes. Genes (Basel) 2022; 13:genes13122361. [PMID: 36553628 PMCID: PMC9778325 DOI: 10.3390/genes13122361] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2022] [Revised: 12/08/2022] [Accepted: 12/09/2022] [Indexed: 12/23/2022] Open
Abstract
Our aim was to analyze the phenotypic-genetic correlations in a patient diagnosed with early onset corticobasal syndrome with progressive non-fluent aphasia (CBS-PNFA), characterized by predominant apraxia of speech, accompanied by prominent right-sided upper-limb limb-kinetic apraxia, alien limb phenomenon, synkinesis, myoclonus, mild cortical sensory loss, and right-sided hemispatial neglect. Whole-exome sequencing (WES) identified rare single heterozygous variants in ATP7B (c.3207C>A), SORL1 (c.352G>A), SETX (c.2385_2387delAAA), and FOXP1 (c.1762G>A) genes. The functional analysis revealed that the deletion in the SETX gene changed the splicing pattern, which was accompanied by lower SETX mRNA levels in the patient's fibroblasts, suggesting loss-of-function as the underlying mechanism. In addition, the patient's fibroblasts demonstrated altered mitochondrial architecture with decreased connectivity, compared to the control individuals. This is the first association of the CBS-PNFA phenotype with the most common ATP7B pathogenic variant p.H1069Q, previously linked to Wilson's disease, and early onset Parkinson's disease. This study expands the complex clinical spectrum related to variants in well-known disease genes, such as ATP7B, SORL1, SETX, and FOXP1, corroborating the hypothesis of oligogenic inheritance. To date, the FOXP1 gene has been linked exclusively to neurodevelopmental speech disorders, while our study highlights its possible relevance for adult-onset progressive apraxia of speech, which guarantees further study.
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20
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Küçükali F, Neumann A, Van Dongen J, De Pooter T, Joris G, De Rijk P, Ohlei O, Dobricic V, Bos I, Vos SJB, Engelborghs S, De Roeck E, Vandenberghe R, Gabel S, Meersmans K, Tsolaki M, Verhey F, Martinez‐Lage P, Tainta M, Frisoni G, Blin O, Richardson JC, Bordet R, Scheltens P, Popp J, Peyratout G, Johannsen P, Frölich L, Freund‐Levi Y, Streffer J, Lovestone S, Legido‐Quigley C, Kate MT, Barkhof F, Zetterberg H, Bertram L, Strazisar M, Visser PJ, Van Broeckhoven C, Sleegers K. Whole‐exome rare‐variant analysis of Alzheimer's disease and related biomarker traits. Alzheimers Dement 2022. [DOI: 10.1002/alz.12842] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Revised: 09/16/2022] [Accepted: 09/28/2022] [Indexed: 12/08/2022]
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21
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Holstege H, Hulsman M, Charbonnier C, Grenier-Boley B, Quenez O, Grozeva D, van Rooij JGJ, Sims R, Ahmad S, Amin N, Norsworthy PJ, Dols-Icardo O, Hummerich H, Kawalia A, Amouyel P, Beecham GW, Berr C, Bis JC, Boland A, Bossù P, Bouwman F, Bras J, Campion D, Cochran JN, Daniele A, Dartigues JF, Debette S, Deleuze JF, Denning N, DeStefano AL, Farrer LA, Fernández MV, Fox NC, Galimberti D, Genin E, Gille JJP, Le Guen Y, Guerreiro R, Haines JL, Holmes C, Ikram MA, Ikram MK, Jansen IE, Kraaij R, Lathrop M, Lemstra AW, Lleó A, Luckcuck L, Mannens MMAM, Marshall R, Martin ER, Masullo C, Mayeux R, Mecocci P, Meggy A, Mol MO, Morgan K, Myers RM, Nacmias B, Naj AC, Napolioni V, Pasquier F, Pastor P, Pericak-Vance MA, Raybould R, Redon R, Reinders MJT, Richard AC, Riedel-Heller SG, Rivadeneira F, Rousseau S, Ryan NS, Saad S, Sanchez-Juan P, Schellenberg GD, Scheltens P, Schott JM, Seripa D, Seshadri S, Sie D, Sistermans EA, Sorbi S, van Spaendonk R, Spalletta G, Tesi N, Tijms B, Uitterlinden AG, van der Lee SJ, Visser PJ, Wagner M, Wallon D, Wang LS, Zarea A, Clarimon J, van Swieten JC, Greicius MD, Yokoyama JS, Cruchaga C, Hardy J, Ramirez A, Mead S, van der Flier WM, van Duijn CM, Williams J, Nicolas G, Bellenguez C, Lambert JC. Exome sequencing identifies rare damaging variants in ATP8B4 and ABCA1 as risk factors for Alzheimer's disease. Nat Genet 2022; 54:1786-1794. [PMID: 36411364 PMCID: PMC9729101 DOI: 10.1038/s41588-022-01208-7] [Citation(s) in RCA: 41] [Impact Index Per Article: 20.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2021] [Accepted: 09/19/2022] [Indexed: 11/22/2022]
Abstract
Alzheimer's disease (AD), the leading cause of dementia, has an estimated heritability of approximately 70%1. The genetic component of AD has been mainly assessed using genome-wide association studies, which do not capture the risk contributed by rare variants2. Here, we compared the gene-based burden of rare damaging variants in exome sequencing data from 32,558 individuals-16,036 AD cases and 16,522 controls. Next to variants in TREM2, SORL1 and ABCA7, we observed a significant association of rare, predicted damaging variants in ATP8B4 and ABCA1 with AD risk, and a suggestive signal in ADAM10. Additionally, the rare-variant burden in RIN3, CLU, ZCWPW1 and ACE highlighted these genes as potential drivers of respective AD-genome-wide association study loci. Variants associated with the strongest effect on AD risk, in particular loss-of-function variants, are enriched in early-onset AD cases. Our results provide additional evidence for a major role for amyloid-β precursor protein processing, amyloid-β aggregation, lipid metabolism and microglial function in AD.
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Affiliation(s)
- Henne Holstege
- Genomics of Neurodegenerative Diseases and Aging, Human Genetics, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, the Netherlands.
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, the Netherlands.
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, the Netherlands.
- Delft Bioinformatics Lab, Delft University of Technology, Delft, the Netherlands.
| | - Marc Hulsman
- Genomics of Neurodegenerative Diseases and Aging, Human Genetics, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, the Netherlands.
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, the Netherlands.
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, the Netherlands.
- Delft Bioinformatics Lab, Delft University of Technology, Delft, the Netherlands.
| | - Camille Charbonnier
- Université Rouen Normandie, INSERM U1245 and CHU Rouen, Department of Genetics and CNRMAJ, Rouen, France
| | - Benjamin Grenier-Boley
- Université Lille, INSERM, Centre Hospitalier Universitaire Lille, Institut Pasteur de Lille, U1167-RID-AGE facteurs de risque et déterminants moléculaires des maladies liées au vieillissement, Lille, France
| | - Olivier Quenez
- Université Rouen Normandie, INSERM U1245 and CHU Rouen, Department of Genetics and CNRMAJ, Rouen, France
| | - Detelina Grozeva
- Medical Research Council Centre for Neuropsychiatric Genetics and Genomics,, Division of Psychological Medicine and Clinical Neuroscience, School of Medicine, Cardiff University, Cardiff, UK
| | - Jeroen G J van Rooij
- Department of Neurology, Erasmus Medical Centre, Rotterdam, the Netherlands
- Department of Internal Medicine, Erasmus Medical Centre, Rotterdam, the Netherlands
| | - Rebecca Sims
- Medical Research Council Centre for Neuropsychiatric Genetics and Genomics,, Division of Psychological Medicine and Clinical Neuroscience, School of Medicine, Cardiff University, Cardiff, UK
| | - Shahzad Ahmad
- Department of Epidemiology, Erasmus Medical Centre, Rotterdam, the Netherlands
- Leiden Academic Centre for Drug Research, Leiden, the Netherlands
| | - Najaf Amin
- Department of Epidemiology, Erasmus Medical Centre, Rotterdam, the Netherlands
- Nuffield Department of Population Health Oxford University, Oxford, UK
| | - Penny J Norsworthy
- Medical Research Council Prion Unit at University College London, University College London Institute of Prion Diseases, London, UK
| | - Oriol Dols-Icardo
- Department of Neurology, II B Sant Pau, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
- Biomedical Research Networking Center on Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
| | - Holger Hummerich
- Medical Research Council Prion Unit at University College London, University College London Institute of Prion Diseases, London, UK
| | - Amit Kawalia
- Division of Neurogenetics and Molecular Psychiatry, Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Philippe Amouyel
- Université Lille, INSERM, Centre Hospitalier Universitaire Lille, Institut Pasteur de Lille, U1167-RID-AGE facteurs de risque et déterminants moléculaires des maladies liées au vieillissement, Lille, France
| | - Gary W Beecham
- The John P. Hussman Institute for Human Genomics, University of Miami, Miami, FL, USA
| | - Claudine Berr
- Université Montpellier, INSERM, Institute for Neurosciences of Montpellier, Montpellier, France
| | - Joshua C Bis
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Anne Boland
- Université Paris-Saclay, Commissariat à l'Énergie Atomique et aux Énergies Alternatives, Centre National de Recherche en Génomique Humaine Evry, Gif-sur-Yvette, France
| | - Paola Bossù
- Experimental Neuro-psychobiology Laboratory, Department of Clinical and Behavioral Neurology, Istituto di Ricovero e Cura a Carattere Scientifico Santa Lucia Foundation, Rome, Italy
| | - Femke Bouwman
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, the Netherlands
| | - Jose Bras
- Department of Neurodegenerative Science, Van Andel Institute, Grand Rapids, MI, USA
- Division of Psychiatry and Behavioral Medicine, Michigan State University College of Human Medicine, Grand Rapids, MI, USA
| | - Dominique Campion
- Université Rouen Normandie, INSERM U1245 and CHU Rouen, Department of Genetics and CNRMAJ, Rouen, France
| | | | - Antonio Daniele
- Department of Neuroscience, Catholic University of Sacred Heart, Fondazione Policlinico Universitario A. Gemelli Istituto di Ricovero e Cura a Carattere Scientifico, Rome, Italy
| | | | - Stéphanie Debette
- Université Bordeaux, INSERM, Bordeaux Population Health Research Center, Bordeaux, France
- Department of Neurology, Bordeaux University Hospital, Bordeaux, France
| | - Jean-François Deleuze
- Université Paris-Saclay, Commissariat à l'Énergie Atomique et aux Énergies Alternatives, Centre National de Recherche en Génomique Humaine Evry, Gif-sur-Yvette, France
| | - Nicola Denning
- UKDRI Cardiff, School of Medicine, Cardiff University, Cardiff, UK
| | - Anita L DeStefano
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
- Framingham Heart Study, Framingham, MA, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
| | - Lindsay A Farrer
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
- Department of Epidemiology, Boston University, Boston, MA, USA
- Department of Medicine (Biomedical Genetics), Boston University, Boston, MA, USA
| | - Maria Victoria Fernández
- Neurogenomics and Informatics Center, Washington University School of Medicine, St Louis, MO, USA
- Psychiatry Department, Washington University School of Medicine, St Louis, MO, USA
- Hope Center for Neurological Disorders, Washington University School of Medicine, St Louis, MO, USA
| | - Nick C Fox
- Dementia Research Centre, University College London Queen Square Institute of Neurology, London, UK
| | - Daniela Galimberti
- Fondazione Istituto di Ricovero e Cura a Carattere Scientifico Ca' Granda, Ospedale Policlinico, Milan, Italy
- University of Milan, Milan, Italy
| | - Emmanuelle Genin
- Université Brest, INSERM, Etablissement Français du Sang, Centre Hospitalier Universitaire Brest, Unité Mixte de Recherche 1078, GGB, Brest, France
| | - Johan J P Gille
- Genome Diagnostics, Department of Human Genetics, VU University, AmsterdamUMC (location VUmc), Amsterdam, the Netherlands
| | - Yann Le Guen
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA
| | - Rita Guerreiro
- Department of Neurodegenerative Science, Van Andel Institute, Grand Rapids, MI, USA
- Division of Psychiatry and Behavioral Medicine, Michigan State University College of Human Medicine, Grand Rapids, MI, USA
| | - Jonathan L Haines
- Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, OH, USA
| | - Clive Holmes
- Clinical and Experimental Science, Faculty of Medicine, University of Southampton, Southampton, UK
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus Medical Centre, Rotterdam, the Netherlands
| | - M Kamran Ikram
- Department of Epidemiology, Erasmus Medical Centre, Rotterdam, the Netherlands
| | - Iris E Jansen
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, the Netherlands
- Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, Vrije University, Amsterdam, the Netherlands
| | - Robert Kraaij
- Department of Internal Medicine, Erasmus Medical Centre, Rotterdam, the Netherlands
| | - Marc Lathrop
- McGill University and Genome Quebec Innovation Centre, Montreal, Quebec, Canada
| | - Afina W Lemstra
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, the Netherlands
| | - Alberto Lleó
- Department of Neurology, II B Sant Pau, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
- Biomedical Research Networking Center on Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
| | - Lauren Luckcuck
- Medical Research Council Centre for Neuropsychiatric Genetics and Genomics,, Division of Psychological Medicine and Clinical Neuroscience, School of Medicine, Cardiff University, Cardiff, UK
| | - Marcel M A M Mannens
- Department of Human Genetics, Amsterdam UMC, University of Amsterdam, Amsterdam Reproduction and Development Research Institute, Amsterdam, the Netherlands
| | - Rachel Marshall
- Medical Research Council Centre for Neuropsychiatric Genetics and Genomics,, Division of Psychological Medicine and Clinical Neuroscience, School of Medicine, Cardiff University, Cardiff, UK
| | - Eden R Martin
- The John P. Hussman Institute for Human Genomics, University of Miami, Miami, FL, USA
- Dr. John T. Macdonald Foundation Department of Human Genetics, University of Miami, Miami, FL, USA
| | - Carlo Masullo
- Institute of Neurology, Catholic University of the Sacred Heart, Rome, Italy
| | - Richard Mayeux
- Taub Institute on Alzheimer's Disease and the Aging Brain, Department of Neurology, Columbia University, New York, NY, USA
- Gertrude H. Sergievsky Center, Columbia University, New York, NY, USA
| | - Patrizia Mecocci
- Institute of Gerontology and Geriatrics, Department of Medicine and Surgery, University of Perugia, Perugia, Italy
| | - Alun Meggy
- UKDRI Cardiff, School of Medicine, Cardiff University, Cardiff, UK
| | - Merel O Mol
- Department of Neurology, Erasmus Medical Centre, Rotterdam, the Netherlands
| | - Kevin Morgan
- Human Genetics, School of Life Sciences, University of Nottingham, Nottingham, UK
| | - Richard M Myers
- HudsonAlpha Institute for Biotechnology, Huntsville, AL, USA
| | - Benedetta Nacmias
- Department of Neuroscience, Psychology, Drug Research and Child Health University of Florence, Florence, Italy
- IRCCS Fondazione Don Carlo Gnocchi, Florence, Italy
| | - Adam C Naj
- Penn Neurodegeneration Genomics Center, Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Penn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Valerio Napolioni
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA
- Genomic and Molecular Epidemiology Laboratory, School of Biosciences and Veterinary Medicine, University of Camerino, Camerino, Italy
| | - Florence Pasquier
- Université Lille, INSERM, Centre Hospitalier Universitaire Lille, UMR1172, Resources and Research Memory Center (MRRC) of Distalz, Licend, Lille, France
| | - Pau Pastor
- Fundació Docència i Recerca MútuaTerrassa and Movement Disorders Unit, Department of Neurology, University Hospital MútuaTerrassa, Barcelona, Spain
- Memory Disorders Unit, Department of Neurology, Hospital Universitari Mutua de Terrassa, Barcelona, Spain
| | - Margaret A Pericak-Vance
- The John P. Hussman Institute for Human Genomics, University of Miami, Miami, FL, USA
- Dr. John T. Macdonald Foundation Department of Human Genetics, University of Miami, Miami, FL, USA
| | - Rachel Raybould
- UKDRI Cardiff, School of Medicine, Cardiff University, Cardiff, UK
| | - Richard Redon
- Université de Nantes, Centre Hospitalier Universitaire Nantes, Centre National de la Recherche Scientifique, INSERM, l'institut du Thorax, Nantes, France
| | - Marcel J T Reinders
- Delft Bioinformatics Lab, Delft University of Technology, Delft, the Netherlands
| | - Anne-Claire Richard
- Université Rouen Normandie, INSERM U1245 and CHU Rouen, Department of Genetics and CNRMAJ, Rouen, France
| | - Steffi G Riedel-Heller
- Institute of Social Medicine, Occupational Health and Public Health, University of Leipzig, Leipzig, Germany
| | - Fernando Rivadeneira
- Department of Internal Medicine, Erasmus Medical Centre, Rotterdam, the Netherlands
| | - Stéphane Rousseau
- Université Rouen Normandie, INSERM U1245 and CHU Rouen, Department of Genetics and CNRMAJ, Rouen, France
| | - Natalie S Ryan
- Dementia Research Centre, University College London Queen Square Institute of Neurology, London, UK
| | - Salha Saad
- Medical Research Council Centre for Neuropsychiatric Genetics and Genomics,, Division of Psychological Medicine and Clinical Neuroscience, School of Medicine, Cardiff University, Cardiff, UK
| | - Pascual Sanchez-Juan
- Biomedical Research Networking Center on Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
- Neurology Service, Marqués de Valdecilla University Hospital (University of Cantabria and IDIVAL), Santander, Spain
| | - Gerard D Schellenberg
- Penn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Philip Scheltens
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, the Netherlands
| | - Jonathan M Schott
- Dementia Research Centre, University College London Queen Square Institute of Neurology, London, UK
| | - Davide Seripa
- Laboratory for Advanced Hematological Diagnostics, Department of Hematology and Stem Cell Transplant, Lecce, Italy
| | - Sudha Seshadri
- Framingham Heart Study, Framingham, MA, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
- Department of Psychiatry and Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, San Antonio, TX, USA
| | - Daoud Sie
- Genome Diagnostics, Department of Human Genetics, VU University, AmsterdamUMC (location VUmc), Amsterdam, the Netherlands
| | - Erik A Sistermans
- Genome Diagnostics, Department of Human Genetics, VU University, AmsterdamUMC (location VUmc), Amsterdam, the Netherlands
| | - Sandro Sorbi
- Department of Neuroscience, Psychology, Drug Research and Child Health University of Florence, Florence, Italy
- IRCCS Fondazione Don Carlo Gnocchi, Florence, Italy
| | - Resie van Spaendonk
- Genome Diagnostics, Department of Human Genetics, VU University, AmsterdamUMC (location VUmc), Amsterdam, the Netherlands
| | - Gianfranco Spalletta
- Laboratory of Neuropsychiatry, Department of Clinical and Behavioral Neurology, Istituto di Ricovero e Cura a Carattere Scientifico Santa Lucia Foundation, Rome, Italy
| | - Niccolo' Tesi
- Genomics of Neurodegenerative Diseases and Aging, Human Genetics, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, the Netherlands
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, the Netherlands
- Delft Bioinformatics Lab, Delft University of Technology, Delft, the Netherlands
| | - Betty Tijms
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, the Netherlands
| | - André G Uitterlinden
- Department of Internal Medicine, Erasmus Medical Centre, Rotterdam, the Netherlands
| | - Sven J van der Lee
- Genomics of Neurodegenerative Diseases and Aging, Human Genetics, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, the Netherlands
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, the Netherlands
- Delft Bioinformatics Lab, Delft University of Technology, Delft, the Netherlands
| | - Pieter Jelle Visser
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, the Netherlands
| | - Michael Wagner
- Department of Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Medical Faculty, Bonn, Germany
- German Center for Neurodegenerative Diseases, Bonn, Germany
| | - David Wallon
- Université Rouen Normandie, INSERM U1245 and CHU Rouen, Department of Neurology and CNRMAJ, Rouen, France
| | - Li-San Wang
- Penn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Aline Zarea
- Université Rouen Normandie, INSERM U1245 and CHU Rouen, Department of Neurology and CNRMAJ, Rouen, France
| | - Jordi Clarimon
- Department of Neurology, II B Sant Pau, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
- Biomedical Research Networking Center on Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
| | - John C van Swieten
- Department of Neurology, Erasmus Medical Centre, Rotterdam, the Netherlands
| | - Michael D Greicius
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA
| | - Jennifer S Yokoyama
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, CA, USA
| | - Carlos Cruchaga
- Neurogenomics and Informatics Center, Washington University School of Medicine, St Louis, MO, USA
- Psychiatry Department, Washington University School of Medicine, St Louis, MO, USA
- Hope Center for Neurological Disorders, Washington University School of Medicine, St Louis, MO, USA
| | - John Hardy
- Reta Lila Weston Research Laboratories, Department of Molecular Neuroscience, University College London Institute of Neurology, London, UK
| | - 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 Psychiatry and Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, San Antonio, TX, USA
- Department of Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Medical Faculty, Bonn, Germany
- German Center for Neurodegenerative Diseases, Bonn, Germany
- Cluster of Excellence Cellular Stress Responses in Aging-Associated Diseases, University of Cologne, Cologne, Germany
| | - Simon Mead
- Medical Research Council Prion Unit at University College London, University College London Institute of Prion Diseases, London, UK
| | - Wiesje M van der Flier
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, the Netherlands
| | - Cornelia M van Duijn
- Department of Epidemiology, Erasmus Medical Centre, Rotterdam, the Netherlands
- Nuffield Department of Population Health Oxford University, Oxford, UK
| | - Julie Williams
- Medical Research Council Centre for Neuropsychiatric Genetics and Genomics,, Division of Psychological Medicine and Clinical Neuroscience, School of Medicine, Cardiff University, Cardiff, UK
| | - Gaël Nicolas
- Université Rouen Normandie, INSERM U1245 and CHU Rouen, Department of Genetics and CNRMAJ, Rouen, France.
| | - Céline Bellenguez
- Université Lille, INSERM, Centre Hospitalier Universitaire Lille, Institut Pasteur de Lille, U1167-RID-AGE facteurs de risque et déterminants moléculaires des maladies liées au vieillissement, Lille, France
| | - Jean-Charles Lambert
- Université Lille, INSERM, Centre Hospitalier Universitaire 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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22
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Wallon D, Nicolas G. Genetica della malattia di Alzheimer. Neurologia 2022. [DOI: 10.1016/s1634-7072(22)47093-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/05/2022] Open
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23
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Fišar Z. Linking the Amyloid, Tau, and Mitochondrial Hypotheses of Alzheimer's Disease and Identifying Promising Drug Targets. Biomolecules 2022; 12:1676. [PMID: 36421690 PMCID: PMC9687482 DOI: 10.3390/biom12111676] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Revised: 10/23/2022] [Accepted: 11/09/2022] [Indexed: 08/27/2023] Open
Abstract
Damage or loss of brain cells and impaired neurochemistry, neurogenesis, and synaptic and nonsynaptic plasticity of the brain lead to dementia in neurodegenerative diseases, such as Alzheimer's disease (AD). Injury to synapses and neurons and accumulation of extracellular amyloid plaques and intracellular neurofibrillary tangles are considered the main morphological and neuropathological features of AD. Age, genetic and epigenetic factors, environmental stressors, and lifestyle contribute to the risk of AD onset and progression. These risk factors are associated with structural and functional changes in the brain, leading to cognitive decline. Biomarkers of AD reflect or cause specific changes in brain function, especially changes in pathways associated with neurotransmission, neuroinflammation, bioenergetics, apoptosis, and oxidative and nitrosative stress. Even in the initial stages, AD is associated with Aβ neurotoxicity, mitochondrial dysfunction, and tau neurotoxicity. The integrative amyloid-tau-mitochondrial hypothesis assumes that the primary cause of AD is the neurotoxicity of Aβ oligomers and tau oligomers, mitochondrial dysfunction, and their mutual synergy. For the development of new efficient AD drugs, targeting the elimination of neurotoxicity, mutual potentiation of effects, and unwanted protein interactions of risk factors and biomarkers (mainly Aβ oligomers, tau oligomers, and mitochondrial dysfunction) in the early stage of the disease seems promising.
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Affiliation(s)
- Zdeněk Fišar
- Department of Psychiatry, First Faculty of Medicine, Charles University and General University Hospital in Prague, Ke Karlovu 11, 120 00 Prague, Czech Republic
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24
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Bocher O, Ludwig TE, Oglobinsky MS, Marenne G, Deleuze JF, Suryakant S, Odeberg J, Morange PE, Trégouët DA, Perdry H, Génin E. Testing for association with rare variants in the coding and non-coding genome: RAVA-FIRST, a new approach based on CADD deleteriousness score. PLoS Genet 2022; 18:e1009923. [PMID: 36112662 PMCID: PMC9518893 DOI: 10.1371/journal.pgen.1009923] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2021] [Revised: 09/28/2022] [Accepted: 08/15/2022] [Indexed: 11/18/2022] Open
Abstract
Rare variant association tests (RVAT) have been developed to study the contribution of rare variants widely accessible through high-throughput sequencing technologies. RVAT require to aggregate rare variants in testing units and to filter variants to retain only the most likely causal ones. In the exome, genes are natural testing units and variants are usually filtered based on their functional consequences. However, when dealing with whole-genome sequence (WGS) data, both steps are challenging. No natural biological unit is available for aggregating rare variants. Sliding windows procedures have been proposed to circumvent this difficulty, however they are blind to biological information and result in a large number of tests. We propose a new strategy to perform RVAT on WGS data: “RAVA-FIRST” (RAre Variant Association using Functionally-InfoRmed STeps) comprising three steps. (1) New testing units are defined genome-wide based on functionally-adjusted Combined Annotation Dependent Depletion (CADD) scores of variants observed in the gnomAD populations, which are referred to as “CADD regions”. (2) A region-dependent filtering of rare variants is applied in each CADD region. (3) A functionally-informed burden test is performed with sub-scores computed for each genomic category within each CADD region. Both on simulations and real data, RAVA-FIRST was found to outperform other WGS-based RVAT. Applied to a WGS dataset of venous thromboembolism patients, we identified an intergenic region on chromosome 18 enriched for rare variants in early-onset patients. This region that was missed by standard sliding windows procedures is included in a TAD region that contains a strong candidate gene. RAVA-FIRST enables new investigations of rare non-coding variants in complex diseases, facilitated by its implementation in the R package Ravages.
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Affiliation(s)
- Ozvan Bocher
- Univ Brest, Inserm, EFS, UMR 1078, GGB, Brest, France
- Institute of Translational Genomics, Helmholtz Zentrum München, Munich, Germany
- * E-mail:
| | - Thomas E. Ludwig
- Univ Brest, Inserm, EFS, UMR 1078, GGB, Brest, France
- CHU Brest, Brest, France
| | | | | | - Jean-François Deleuze
- Centre National de Recherche en Génomique Humaine CNRGH, Institut de Biologie François Jacob, Université Paris Saclay, CEA, Evry, France
| | - Suryakant Suryakant
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, team ELEANOR, UMR 1219, Bordeaux, France
| | - Jacob Odeberg
- Science for Life Laboratory, Department of Protein Science, CBH, KTH Royal Institute of Technology, Stockholm, Sweden
- Department of Clinical Medicine, Faculty of Health Science, The Arctic University of Tromsö, Tromsö, Norway
| | | | - David-Alexandre Trégouët
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, team ELEANOR, UMR 1219, Bordeaux, France
| | - Hervé Perdry
- CESP Inserm, U1018, UFR Médecine, Univ Paris-Sud, Université Paris-Saclay, Villejuif, France
| | - Emmanuelle Génin
- Univ Brest, Inserm, EFS, UMR 1078, GGB, Brest, France
- CHU Brest, Brest, France
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25
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Bartoletti-Stella A, Tarozzi M, Mengozzi G, Asirelli F, Brancaleoni L, Mometto N, Stanzani-Maserati M, Baiardi S, Linarello S, Spallazzi M, Pantieri R, Ferriani E, Caffarra P, Liguori R, Parchi P, Capellari S. Dementia-related genetic variants in an Italian population of early-onset Alzheimer’s disease. Front Aging Neurosci 2022; 14:969817. [PMID: 36133075 PMCID: PMC9484406 DOI: 10.3389/fnagi.2022.969817] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Accepted: 08/02/2022] [Indexed: 11/13/2022] Open
Abstract
Early-onset Alzheimer’s disease (EOAD) is the most common form of early-onset dementia. Although three major genes have been identified as causative, the genetic contribution to the disease remains unsolved in many patients. Recent studies have identified pathogenic variants in genes representing a risk factor for developing Alzheimer’s disease (AD) and in causative genes for other degenerative dementias as responsible for EOAD. To study them further, we investigated a panel of candidate genes in 102 Italian EOAD patients, 45.10% of whom had a positive family history and 21.74% with a strong family history of dementia. We found that 10.78% of patients carried pathogenic or likely pathogenic variants, including a novel variant, in PSEN1, PSEN2, or APP, and 7.84% showed homozygosity for the ε4 APOE allele. Additionally, 7.84% of patients had a moderate risk allele in PSEN1, PSEN2, or TREM2 genes. Besides, we observed that 12.75% of our patients carried only a variant in genes associated with other neurodegenerative diseases. The combination of these variants contributes to explain 46% of cases with a definite familiarity and 32% of sporadic forms. Our results confirm the importance of extensive genetic screening in EOAD for clinical purposes, to select patients for future treatments and to contribute to the definition of overlapping pathogenic mechanisms between AD and other forms of dementia.
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Affiliation(s)
- Anna Bartoletti-Stella
- Department of Experimental Diagnostic and Specialty Medicine (DIMES), University of Bologna, Bologna, Italy
| | - Martina Tarozzi
- Department of Experimental Diagnostic and Specialty Medicine (DIMES), University of Bologna, Bologna, Italy
| | - Giacomo Mengozzi
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Bellaria Hospital, Bologna, Italy
| | - Francesca Asirelli
- Department of Medical Science and Surgery (DIMEC), University of Bologna, Bologna, Italy
| | - Laura Brancaleoni
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Bellaria Hospital, Bologna, Italy
- Neurologia e Rete Stroke Metropolitana, Ospedale Maggiore, Bologna, Italy
| | - Nicola Mometto
- UOC Neurologia, Ospedale Guglielmo da Saliceto, Piacenza, Italy
| | | | - Simone Baiardi
- Department of Experimental Diagnostic and Specialty Medicine (DIMES), University of Bologna, Bologna, Italy
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Bellaria Hospital, Bologna, Italy
| | - Simona Linarello
- Programma Cure Intermedie - Azienda USL di Bologna, Bologna, Italy
| | - Marco Spallazzi
- U.O. di Neurologia, Azienda Ospedaliero-Universitaria, Parma, Italy
| | - Roberta Pantieri
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Bellaria Hospital, Bologna, Italy
| | - Elisa Ferriani
- UOC Psicologia Clinica Ospedaliera, Ospedale Bellaria, Azienda USL di Bologna, Bologna, Italy
| | - Paolo Caffarra
- Unità di Neuroscienze, Università di Parma, Parma, Italy
| | - Rocco Liguori
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Bellaria Hospital, Bologna, Italy
- Department of Biomedical and NeuroMotor Sciences (DIBINEM), University of Bologna, Bologna, Italy
| | - Piero Parchi
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Bellaria Hospital, Bologna, Italy
- Department of Biomedical and NeuroMotor Sciences (DIBINEM), University of Bologna, Bologna, Italy
| | - Sabina Capellari
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Bellaria Hospital, Bologna, Italy
- Department of Biomedical and NeuroMotor Sciences (DIBINEM), University of Bologna, Bologna, Italy
- *Correspondence: Sabina Capellari,
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Marques CF, Marques MM, Justino GC. Leukotrienes vs. Montelukast—Activity, Metabolism, and Toxicity Hints for Repurposing. Pharmaceuticals (Basel) 2022; 15:ph15091039. [PMID: 36145259 PMCID: PMC9505853 DOI: 10.3390/ph15091039] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2022] [Revised: 08/17/2022] [Accepted: 08/19/2022] [Indexed: 11/16/2022] Open
Abstract
Increasing environmental distress is associated with a growing asthma incidence; no treatments are available but montelukast (MTK)—an antagonist of the cysteinyl leukotrienes receptor 1—is widely used in the management of symptoms among adults and children. Recently, new molecular targets have been identified and MTK has been proposed for repurposing in other therapeutic applications, with several ongoing clinical trials. The proposed applications include neuroinflammation control, which could be explored in some neurodegenerative disorders, such as Alzheimer’s and Parkinson’s diseases (AD and PD). However, this drug has been associated with an increasing number of reported neuropsychiatric adverse drug reactions (ADRs). Besides, and despite being on the market since 1998, MTK metabolism is still poorly understood and the mechanisms underlying neuropsychiatric ADRs remain unknown. We review the role of MTK as a modulator of leukotriene pathways and systematize the current knowledge about MTK metabolism. Known toxic effects of MTK are discussed, and repurposing applications are presented comprehensively, with a focus on AD and PD.
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Affiliation(s)
- Cátia F. Marques
- Centro de Química Estrutural, Institute of Molecular Sciences, Instituto Superior Técnico, Universidade de Lisboa, 1049-001 Lisboa, Portugal
| | - Maria Matilde Marques
- Centro de Química Estrutural, Institute of Molecular Sciences, Instituto Superior Técnico, Universidade de Lisboa, 1049-001 Lisboa, Portugal
- Departamento de Engenharia Química, Instituto Superior Técnico, Universidade de Lisboa, 1049-001 Lisboa, Portugal
| | - Gonçalo C. Justino
- Centro de Química Estrutural, Institute of Molecular Sciences, Instituto Superior Técnico, Universidade de Lisboa, 1049-001 Lisboa, Portugal
- Correspondence:
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Frequency distribution of the hereditary Alzheimer's disease-related genes seems to fit Poisson distribution, why? Cell Discov 2022; 8:73. [PMID: 35902568 PMCID: PMC9334388 DOI: 10.1038/s41421-022-00444-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Accepted: 07/01/2022] [Indexed: 11/24/2022] Open
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28
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Schramm C, Charbonnier C, Zaréa A, Lacour M, Wallon D, Boland A, Deleuze JF, Olaso R, Alarcon F, Campion D, Nuel G, Nicolas G. Penetrance estimation of Alzheimer disease in SORL1 loss-of-function variant carriers using a family-based strategy and stratification by APOE genotypes. Genome Med 2022; 14:69. [PMID: 35761418 PMCID: PMC9238165 DOI: 10.1186/s13073-022-01070-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2021] [Accepted: 06/08/2022] [Indexed: 01/04/2023] Open
Abstract
BACKGROUND Alzheimer disease (AD) is a common complex disorder with a high genetic component. Loss-of-function (LoF) SORL1 variants are one of the strongest AD genetic risk factors. Estimating their age-related penetrance is essential before putative use for genetic counseling or preventive trials. However, relative rarity and co-occurrence with the main AD risk factor, APOE-ε4, make such estimations difficult. METHODS We proposed to estimate the age-related penetrance of SORL1-LoF variants through a survival framework by estimating the conditional instantaneous risk combining (i) a baseline for non-carriers of SORL1-LoF variants, stratified by APOE-ε4, derived from the Rotterdam study (N = 12,255), and (ii) an age-dependent proportional hazard effect for SORL1-LoF variants estimated from 27 extended pedigrees (including 307 relatives ≥ 40 years old, 45 of them having genotyping information) recruited from the French reference center for young Alzheimer patients. We embedded this model into an expectation-maximization algorithm to accommodate for missing genotypes. To correct for ascertainment bias, proband phenotypes were omitted. Then, we assessed if our penetrance curves were concordant with age distributions of APOE-ε4-stratified SORL1-LoF variant carriers detected among sequencing data of 13,007 cases and 10,182 controls from European and American case-control study consortia. RESULTS SORL1-LoF variants penetrance curves reached 100% (95% confidence interval [99-100%]) by age 70 among APOE-ε4ε4 carriers only, compared with 56% [40-72%] and 37% [26-51%] in ε4 heterozygous carriers and ε4 non-carriers, respectively. These estimates were fully consistent with observed age distributions of SORL1-LoF variant carriers in case-control study data. CONCLUSIONS We conclude that SORL1-LoF variants should be interpreted in light of APOE genotypes for future clinical applications.
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Affiliation(s)
- Catherine Schramm
- Normandie Université, UNIROUEN, Inserm U1245, CHU Rouen, Department of Genetics and CNRMAJ, FHU-G4 Génomique, 22 boulevard Gambetta - CS 76183, Rouen, F-76000, France
| | - Camille Charbonnier
- Normandie Université, UNIROUEN, Inserm U1245, CHU Rouen, Department of Genetics and CNRMAJ, FHU-G4 Génomique, 22 boulevard Gambetta - CS 76183, Rouen, F-76000, France
| | - Aline Zaréa
- Normandie Université, UNIROUEN, Inserm U1245, CHU Rouen, Department of Neurology and CNRMAJ, FHU-G4 Génomique, Rouen, F-76000, France
| | - Morgane Lacour
- Normandie Université, UNIROUEN, Inserm U1245, CHU Rouen, Department of Neurology and CNRMAJ, FHU-G4 Génomique, Rouen, F-76000, France
| | - David Wallon
- Normandie Université, UNIROUEN, Inserm U1245, CHU Rouen, Department of Neurology and CNRMAJ, FHU-G4 Génomique, Rouen, F-76000, France
| | | | - Anne Boland
- Université Paris-Saclay, CEA, Centre National de Recherche en Génomique Humaine, 91057, Evry, France
| | - Jean-François Deleuze
- Université Paris-Saclay, CEA, Centre National de Recherche en Génomique Humaine, 91057, Evry, France
| | - Robert Olaso
- Université Paris-Saclay, CEA, Centre National de Recherche en Génomique Humaine, 91057, Evry, France
| | | | - Flora Alarcon
- MAP5, UMR-CNRS 8145, Paris University, 75270, Paris, France
| | - Dominique Campion
- Normandie Université, UNIROUEN, Inserm U1245, CHU Rouen, Department of Genetics and CNRMAJ, FHU-G4 Génomique, 22 boulevard Gambetta - CS 76183, Rouen, F-76000, France.,Department of Research, Rouvray Psychiatric Hospital, 76681, Sotteville-Lès-Rouen, France
| | - Grégory Nuel
- LPSM, CNRS 8001, Sorbonne University, 75005, Paris, France
| | - Gaël Nicolas
- Normandie Université, UNIROUEN, Inserm U1245, CHU Rouen, Department of Genetics and CNRMAJ, FHU-G4 Génomique, 22 boulevard Gambetta - CS 76183, Rouen, F-76000, France.
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Sirkis DW, Bonham LW, Johnson TP, La Joie R, Yokoyama JS. Dissecting the clinical heterogeneity of early-onset Alzheimer's disease. Mol Psychiatry 2022; 27:2674-2688. [PMID: 35393555 PMCID: PMC9156414 DOI: 10.1038/s41380-022-01531-9] [Citation(s) in RCA: 35] [Impact Index Per Article: 17.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/11/2021] [Revised: 03/07/2022] [Accepted: 03/16/2022] [Indexed: 12/14/2022]
Abstract
Early-onset Alzheimer's disease (EOAD) is a rare but particularly devastating form of AD. Though notable for its high degree of clinical heterogeneity, EOAD is defined by the same neuropathological hallmarks underlying the more common, late-onset form of AD. In this review, we describe the various clinical syndromes associated with EOAD, including the typical amnestic phenotype as well as atypical variants affecting visuospatial, language, executive, behavioral, and motor functions. We go on to highlight advances in fluid biomarker research and describe how molecular, structural, and functional neuroimaging can be used not only to improve EOAD diagnostic acumen but also enhance our understanding of fundamental pathobiological changes occurring years (and even decades) before the onset of symptoms. In addition, we discuss genetic variation underlying EOAD, including pathogenic variants responsible for the well-known mendelian forms of EOAD as well as variants that may increase risk for the much more common forms of EOAD that are either considered to be sporadic or lack a clear autosomal-dominant inheritance pattern. Intriguingly, specific pathogenic variants in PRNP and MAPT-genes which are more commonly associated with other neurodegenerative diseases-may provide unexpectedly important insights into the formation of AD tau pathology. Genetic analysis of the atypical clinical syndromes associated with EOAD will continue to be challenging given their rarity, but integration of fluid biomarker data, multimodal imaging, and various 'omics techniques and their application to the study of large, multicenter cohorts will enable future discoveries of fundamental mechanisms underlying the development of EOAD and its varied clinical presentations.
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Affiliation(s)
- Daniel W Sirkis
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, 94158, USA
| | - Luke W Bonham
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, 94158, USA
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, 94158, USA
| | - Taylor P Johnson
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, 94158, USA
| | - Renaud La Joie
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, 94158, USA
| | - Jennifer S Yokoyama
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, 94158, USA.
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, 94158, USA.
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30
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What contribution can genetics make to predict the risk of Alzheimer's disease? Rev Neurol (Paris) 2022; 178:414-421. [PMID: 35491248 DOI: 10.1016/j.neurol.2022.03.005] [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: 03/06/2022] [Accepted: 03/08/2022] [Indexed: 11/20/2022]
Abstract
Alzheimer's disease (AD) is the most common neurodegenerative disorder. Although its etiology remains incompletely understood, genetic variants are important contributors. The prediction of AD risk through individual genetic variants is an important topic of research that may have individual and societal consequences when preventive treatments will become available. However, the genetic substratum of AD is heterogeneous. In addition to the extremely rare and fully penetrant pathogenic variants of the PSEN1, PSEN2 or APP genes causing autosomal dominant AD, a large spectrum of risk factors have been identified in complex forms, including the common risk factor APOEɛ4, which is associated with a moderate-to-high risk, common polymorphisms associated with a modest individual risk, and a plethora of rare variants in genes like SORL1, TREM2 or ABCA7 with moderate to high-magnitude effect. Understanding how these genetic factors contribute to AD risk in a given individual, in additional to non-genetic factors, remains a challenge. Over the last 10 years, age-related penetrance curves have progressively incorporated advances in the knowledge of AD genetics, from APOE to common polygenic components and, currently, SORL1 rare variants, which represents an important step towards precision medicine in AD. In this review, we present the complex genetic architecture of AD and we expose the prediction of AD risk according to its underlying genetic component.
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31
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Bossaerts L, Cacace R, Van Broeckhoven C. The role of ATP-binding cassette subfamily A in the etiology of Alzheimer's disease. Mol Neurodegener 2022; 17:31. [PMID: 35477481 PMCID: PMC9044696 DOI: 10.1186/s13024-022-00536-w] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2021] [Accepted: 04/01/2022] [Indexed: 11/12/2022] Open
Abstract
Background Alzheimer’s disease (AD) is the leading cause of dementia, clinically characterized by memory deficits and progressive cognitive decline. Despite decades of research effective therapies are lacking, and a large part of the genetic heritability remains unidentified. ABCA7 and ABCA1, members of the ATP-binding cassette subfamily A (ABCA), were identified as AD risk genes in genome-wide association studies. Nevertheless, genetic and/or functional studies propose a link between AD and two other members of the ABCA subclass, i.e., ABCA2 and ABCA5. Main body Changes in expression or dysfunction of these transporters were found to increase amyloid β levels. This might be related to the common role of ABCA transporters in cellular cholesterol homeostasis, for which a prominent role in AD development has been suggested. In this review, we provide a comprehensive overview and discussion on the contribution of the ABCA subfamily to the etiopathogenesis of AD. Conclusions A better understanding of the function and identification of disease-associated genetic variants in ABCA transporters can contribute to the development of novel therapeutic strategies for AD.
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Affiliation(s)
- Liene Bossaerts
- Neurodegenerative Brain Diseases Group, VIB Center for Molecular Neurology, Antwerp, Belgium
| | - Rita Cacace
- Neurodegenerative Brain Diseases Group, VIB Center for Molecular Neurology, Antwerp, Belgium
| | - Christine Van Broeckhoven
- Neurodegenerative Brain Diseases Group, VIB Center for Molecular Neurology, Antwerp, Belgium. .,Department of Biomedical Sciences, University of Antwerp - CDE, Universiteitsplein 1, B-2610, Antwerp, Belgium.
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32
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Specificity of ABCA7-mediated cell lipid efflux. Biochim Biophys Acta Mol Cell Biol Lipids 2022; 1867:159157. [DOI: 10.1016/j.bbalip.2022.159157] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2021] [Revised: 03/04/2022] [Accepted: 03/29/2022] [Indexed: 12/31/2022]
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33
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Bossaerts L, Hendrickx Van de Craen E, Cacace R, Asselbergh B, Van Broeckhoven C. Rare missense mutations in ABCA7 might increase Alzheimer's disease risk by plasma membrane exclusion. Acta Neuropathol Commun 2022; 10:43. [PMID: 35361255 PMCID: PMC8973822 DOI: 10.1186/s40478-022-01346-3] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Accepted: 03/11/2022] [Indexed: 11/10/2022] Open
Abstract
The adenosine triphosphate-binding cassette subfamily A member 7 gene (ABCA7) is associated with Alzheimer's disease (AD) in large genome-wide association studies. Targeted sequencing of ABCA7 suggests a role for rare premature termination codon (PTC) mutations in AD, with haploinsufficiency through nonsense-mediated mRNA decay as a plausible pathogenic mechanism. Since other classes of rare variants in ABCA7 are poorly understood, we investigated the contribution and pathogenicity of rare missense, indel and splice variants in ABCA7 in Belgian AD patient and control cohorts. We identified 8.36% rare variants in the patient cohort versus 6.05% in the control cohort. For 10 missense mutations identified in the Belgian cohort we analyzed the pathogenetic effect on protein localization in vitro using immunocytochemistry. Our results demonstrate that rare ABCA7 missense mutations can contribute to AD by inducing protein mislocalization, resulting in a lack of functional protein at the plasma membrane. In one pedigree, a mislocalization-inducing missense mutation in ABCA7 (p.G1820S) co-segregated with AD in an autosomal dominant inheritance pattern. Brain autopsy of six patient missense mutation carriers showed typical AD neuropathological characteristics including cerebral amyloid angiopathy type 1. Also, among the rare ABCA7 missense mutations, we observed mutations that affect amino acid residues that are conserved in ABCA1 and ABCA4, of which some correspond to established ABCA1 or ABCA4 disease-causing mutations involved in Tangier or Stargardt disease.
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34
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Acosta-Uribe J, Aguillón D, Cochran JN, Giraldo M, Madrigal L, Killingsworth BW, Singhal R, Labib S, Alzate D, Velilla L, Moreno S, García GP, Saldarriaga A, Piedrahita F, Hincapié L, López HE, Perumal N, Morelo L, Vallejo D, Solano JM, Reiman EM, Surace EI, Itzcovich T, Allegri R, Sánchez-Valle R, Villegas-Lanau A, White CL, Matallana D, Myers RM, Browning SR, Lopera F, Kosik KS. A neurodegenerative disease landscape of rare mutations in Colombia due to founder effects. Genome Med 2022; 14:27. [PMID: 35260199 PMCID: PMC8902761 DOI: 10.1186/s13073-022-01035-9] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2021] [Accepted: 02/26/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND The Colombian population, as well as those in other Latin American regions, arose from a recent tri-continental admixture among Native Americans, Spanish invaders, and enslaved Africans, all of whom passed through a population bottleneck due to widespread infectious diseases that left small isolated local settlements. As a result, the current population reflects multiple founder effects derived from diverse ancestries. METHODS We characterized the role of admixture and founder effects on the origination of the mutational landscape that led to neurodegenerative disorders under these historical circumstances. Genomes from 900 Colombian individuals with Alzheimer's disease (AD) [n = 376], frontotemporal lobar degeneration-motor neuron disease continuum (FTLD-MND) [n = 197], early-onset dementia not otherwise specified (EOD) [n = 73], and healthy participants [n = 254] were analyzed. We examined their global and local ancestry proportions and screened this cohort for deleterious variants in disease-causing and risk-conferring genes. RESULTS We identified 21 pathogenic variants in AD-FTLD related genes, and PSEN1 harbored the majority (11 pathogenic variants). Variants were identified from all three continental ancestries. TREM2 heterozygous and homozygous variants were the most common among AD risk genes (102 carriers), a point of interest because the disease risk conferred by these variants differed according to ancestry. Several gene variants that have a known association with MND in European populations had FTLD phenotypes on a Native American haplotype. Consistent with founder effects, identity by descent among carriers of the same variant was frequent. CONCLUSIONS Colombian demography with multiple mini-bottlenecks probably enhanced the detection of founder events and left a proportionally higher frequency of rare variants derived from the ancestral populations. These findings demonstrate the role of genomically defined ancestry in phenotypic disease expression, a phenotypic range of different rare mutations in the same gene, and further emphasize the importance of inclusiveness in genetic studies.
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Affiliation(s)
- Juliana Acosta-Uribe
- Neuroscience Research Institute and Department of Molecular Cellular and Developmental Biology, University of California, Santa Barbara, CA, USA.,Grupo de Neurociencias de Antioquia, School of Medicine, Universidad de Antioquia, Medellín, Colombia
| | - David Aguillón
- Grupo de Neurociencias de Antioquia, School of Medicine, Universidad de Antioquia, Medellín, Colombia
| | | | - Margarita Giraldo
- Grupo de Neurociencias de Antioquia, School of Medicine, Universidad de Antioquia, Medellín, Colombia.,Instituto Neurológico de Colombia (INDEC), Medellín, Colombia
| | - Lucía Madrigal
- Grupo de Neurociencias de Antioquia, School of Medicine, Universidad de Antioquia, Medellín, Colombia
| | - Bradley W Killingsworth
- Neuroscience Research Institute and Department of Molecular Cellular and Developmental Biology, University of California, Santa Barbara, CA, USA
| | - Rijul Singhal
- Neuroscience Research Institute and Department of Molecular Cellular and Developmental Biology, University of California, Santa Barbara, CA, USA
| | - Sarah Labib
- Neuroscience Research Institute and Department of Molecular Cellular and Developmental Biology, University of California, Santa Barbara, CA, USA
| | - Diana Alzate
- Grupo de Neurociencias de Antioquia, School of Medicine, Universidad de Antioquia, Medellín, Colombia
| | - Lina Velilla
- Grupo de Neurociencias de Antioquia, School of Medicine, Universidad de Antioquia, Medellín, Colombia
| | - Sonia Moreno
- Grupo de Neurociencias de Antioquia, School of Medicine, Universidad de Antioquia, Medellín, Colombia
| | - Gloria P García
- Grupo de Neurociencias de Antioquia, School of Medicine, Universidad de Antioquia, Medellín, Colombia
| | - Amanda Saldarriaga
- Grupo de Neurociencias de Antioquia, School of Medicine, Universidad de Antioquia, Medellín, Colombia
| | - Francisco Piedrahita
- Grupo de Neurociencias de Antioquia, School of Medicine, Universidad de Antioquia, Medellín, Colombia
| | - Liliana Hincapié
- Grupo de Neurociencias de Antioquia, School of Medicine, Universidad de Antioquia, Medellín, Colombia
| | - Hugo E López
- Grupo de Neurociencias de Antioquia, School of Medicine, Universidad de Antioquia, Medellín, Colombia
| | - Nithesh Perumal
- Neuroscience Research Institute and Department of Molecular Cellular and Developmental Biology, University of California, Santa Barbara, CA, USA
| | - Leonilde Morelo
- Department of Internal Medicine, School of Medicine, Universidad del Sinú, Montería, Colombia
| | - Dionis Vallejo
- Department of Neurology, School of Medicine, Universidad de Antioquia, Medellín, Colombia
| | - Juan Marcos Solano
- Department of Neurology, School of Medicine, Universidad de Antioquia, Medellín, Colombia
| | | | - Ezequiel I Surace
- Laboratorio de Enfermedades Neurodegenerativas (Fleni-CONICET), Buenos Aires, Argentina
| | - Tatiana Itzcovich
- Laboratorio de Enfermedades Neurodegenerativas (Fleni-CONICET), Buenos Aires, Argentina
| | - Ricardo Allegri
- Centro de Memoria y Envejecimiento (Fleni-CONICET), Buenos Aires, Argentina
| | - Raquel Sánchez-Valle
- Alzheimer's Disease and Other Cognitive Disorders Unit, Hospital Clínic de Barcelona, IDIBAPS and University of Barcelona, Barcelona, Spain
| | - Andrés Villegas-Lanau
- Grupo de Neurociencias de Antioquia, School of Medicine, Universidad de Antioquia, Medellín, Colombia
| | - Charles L White
- Neuropathology Section, Department of Pathology, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Diana Matallana
- Instituto de Envejecimiento, Department of Psychiatry, School of Medicine, Pontifical Xaverian University, Bogotá, Colombia.,Department of Mental Health, Hospital Universitario Santa Fe de Bogotá, Bogotá, Colombia
| | - Richard M Myers
- HudsonAlpha Institute for Biotechnology, Huntsville, AL, USA
| | - Sharon R Browning
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Francisco Lopera
- Grupo de Neurociencias de Antioquia, School of Medicine, Universidad de Antioquia, Medellín, Colombia.
| | - Kenneth S Kosik
- Neuroscience Research Institute and Department of Molecular Cellular and Developmental Biology, University of California, Santa Barbara, CA, USA.
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Jungbauer G, Stähli A, Zhu X, Auber Alberi L, Sculean A, Eick S. Periodontal microorganisms and Alzheimer disease - A causative relationship? Periodontol 2000 2022; 89:59-82. [PMID: 35244967 PMCID: PMC9314828 DOI: 10.1111/prd.12429] [Citation(s) in RCA: 26] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2021] [Revised: 12/07/2021] [Accepted: 12/21/2021] [Indexed: 01/10/2023]
Abstract
In the initiation or exacerbation of Alzheimer disease, the dissemination of oral microorganisms into the brain tissue or the low‐level systemic inflammation have been speculated to play a role. However, the impact of oral microorganisms, such as Porphyromonas gingivalis, on the pathogenesis of Alzheimer disease and the potential causative relationship is still unclear. The present review has critically reviewed the literature by examining the following aspects: (a) the oral microbiome and the immune response in the elderly population, (b) human studies on the association between periodontal and gut microorganisms and Alzheimer disease, (c) animal and in vitro studies on microorganisms and Alzheimer disease, and (d) preventive and therapeutic approaches. Factors contributing to microbial dysbiosis seem to be aging, local inflammation, systemic diseases, wearing of dentures, living in nursing homes and no access to adequate oral hygiene measures. Porphyromonas gingivalis was detectable in post‐mortem brain samples. Microbiome analyses of saliva samples or oral biofilms showed a decreased microbial diversity and a different composition in Alzheimer disease compared to cognitively healthy subjects. Many in‐vitro and animal studies underline the potential of P gingivalis to induce Alzheimer disease‐related alterations. In animal models, recurring applications of P gingivalis or its components increased pro‐inflammatory mediators and β‐amyloid in the brain and deteriorated the animals' cognitive performance. Since periodontitis is the result of a disturbed microbial homoeostasis, an effect of periodontal therapy on the oral microbiome and host response related to cognitive parameters may be suggested and should be elucidated in further clinical trials.
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Affiliation(s)
- Gert Jungbauer
- Department of Periodontology, School of Dental Medicine, University of Bern, Bern, Switzerland.,Private Dental Practice, Straubing, Germany
| | - Alexandra Stähli
- Department of Periodontology, School of Dental Medicine, University of Bern, Bern, Switzerland
| | - Xilei Zhu
- Department of Periodontology, School of Dental Medicine, University of Bern, Bern, Switzerland
| | | | - Anton Sculean
- Department of Periodontology, School of Dental Medicine, University of Bern, Bern, Switzerland
| | - Sigrun Eick
- Department of Periodontology, School of Dental Medicine, University of Bern, Bern, Switzerland
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Tarozzi M, Bartoletti-Stella A, Dall'Olio D, Matteuzzi T, Baiardi S, Parchi P, Castellani G, Capellari S. Identification of recurrent genetic patterns from targeted sequencing panels with advanced data science: a case-study on sporadic and genetic neurodegenerative diseases. BMC Med Genomics 2022; 15:26. [PMID: 35144616 PMCID: PMC8830183 DOI: 10.1186/s12920-022-01173-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2021] [Accepted: 02/02/2022] [Indexed: 11/10/2022] Open
Abstract
Background Targeted Next Generation Sequencing is a common and powerful approach used in both clinical and research settings. However, at present, a large fraction of the acquired genetic information is not used since pathogenicity cannot be assessed for most variants. Further complicating this scenario is the increasingly frequent description of a poli/oligogenic pattern of inheritance showing the contribution of multiple variants in increasing disease risk. We present an approach in which the entire genetic information provided by target sequencing is transformed into binary data on which we performed statistical, machine learning, and network analyses to extract all valuable information from the entire genetic profile. To test this approach and unbiasedly explore the presence of recurrent genetic patterns, we studied a cohort of 112 patients affected either by genetic Creutzfeldt–Jakob (CJD) disease caused by two mutations in the PRNP gene (p.E200K and p.V210I) with different penetrance or by sporadic Alzheimer disease (sAD). Results Unsupervised methods can identify functionally relevant sources of variation in the data, like haplogroups and polymorphisms that do not follow Hardy–Weinberg equilibrium, such as the NOTCH3 rs11670823 (c.3837 + 21 T > A). Supervised classifiers can recognize clinical phenotypes with high accuracy based on the mutational profile of patients. In addition, we found a similar alteration of allele frequencies compared the European population in sporadic patients and in V210I-CJD, a poorly penetrant PRNP mutation, and sAD, suggesting shared oligogenic patterns in different types of dementia. Pathway enrichment and protein–protein interaction network revealed different altered pathways between the two PRNP mutations. Conclusions We propose this workflow as a possible approach to gain deeper insights into the genetic information derived from target sequencing, to identify recurrent genetic patterns and improve the understanding of complex diseases. This work could also represent a possible starting point of a predictive tool for personalized medicine and advanced diagnostic applications. Supplementary Information The online version contains supplementary material available at 10.1186/s12920-022-01173-4.
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Affiliation(s)
- M Tarozzi
- Department of Medical and Surgical Sciences, University of Bologna, Bologna, Italy
| | - A Bartoletti-Stella
- Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, Bologna, Italy.,IRCCS Institute of Neurological Sciences of Bologna, Bologna, Italy
| | - D Dall'Olio
- Department of Physics and Astronomy, University of Bologna, Bologna, Italy
| | - T Matteuzzi
- Department of Physics and Astronomy, University of Bologna, Bologna, Italy
| | - S Baiardi
- Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, Bologna, Italy.,IRCCS Institute of Neurological Sciences of Bologna, Bologna, Italy
| | - P Parchi
- Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, Bologna, Italy.,IRCCS Institute of Neurological Sciences of Bologna, Bologna, Italy
| | - G Castellani
- Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, Bologna, Italy.
| | - S Capellari
- IRCCS Institute of Neurological Sciences of Bologna, Bologna, Italy.,Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
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37
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Campbell AS, Ho CCG, Atık M, Allen M, Lincoln S, Malphrus K, Nguyen T, Oatman SR, Corda M, Conway O, Strickland S, Petersen RC, Dickson DW, Graff-Radford NR, Ertekin-Taner N. Clinical Deep Phenotyping of ABCA7 Mutation Carriers. Neurol Genet 2022; 8:e655. [PMID: 35047668 PMCID: PMC8759075 DOI: 10.1212/nxg.0000000000000655] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Accepted: 12/17/2021] [Indexed: 11/21/2022]
Abstract
Background and Objectives Putative loss-of-function (pLOF) ABCA7 variants that increase Alzheimer disease (AD) risk were identified; however, deep phenotypic characterization of these variants in mutation carriers is limited. We aimed to obtain deep clinical phenotypes of ABCA7 pLOF mutation carriers from a large retrospectively reviewed series. Methods Genotypes were determined for 5,353 individuals evaluated at Mayo Clinic for 6 reported ABCA7 pLOF variants (p.E709fs, p.Trp1214X, p.L1403fs, c.4416+2T>G, p.E1679X, and c.5570+5G>C). Medical records of 100 mutation carriers were reviewed for demographics, clinical phenotypes, and diagnoses. Eleven mutation carriers had autopsy-based neuropathologic diagnoses. Results We confirmed that ABCA7 pLOF mutations confer AD risk in our series of 2,495 participants with AD and 2,858 cognitively unaffected participants. Clinical review of 100 mutation carriers demonstrated phenotypic variability of clinical presentations with both memory and nonmemory cognitive impairment and a subset presenting with motor symptoms. There was a wide range of age at onset of cognitive symptoms (ages 56–92 years, mean = 75.6). Ten of the 11 autopsied mutation carriers had AD neuropathology. ABCA7 pLOF mutation carriers had higher rates of depression (41.6%) and first-degree relatives with cognitive impairment (38.1%) compared with the general population. Discussion Our study provides a deep clinical review of phenotypic characteristics of mutation carriers for 6 ABCA7 pLOF mutations. Although memory impairment was the most common initial symptom, nonmemory cognitive and/or motor symptoms were present in a substantial number of mutation carriers, highlighting the heterogeneity of clinical features associated with these mutations. Likewise, although AD neuropathology is the most common, it is not the only autopsy-based diagnosis. Presence of earlier ages at onset, higher rates of depression, and first-degree relatives with cognitive impairment among mutation carriers suggest that these genetic variants may have more aggressive clinical features than AD in the general population. This deep phenotyping study of ABCA7 pLOF mutation carriers provides essential genotype-phenotype correlations for future precision medicine approaches in the clinical setting.
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Affiliation(s)
- Alana S Campbell
- Department of Neurology (A.S.C., S.R.O., N.R.G.-R., N.E.-T.), and Department of Neuroscience (C.C.G.H., M. Atık, M. Allen, S.L., K.M., T.N., S.R.O., M.C., O.C., S.S., D.W.D., N.E.-T.), Mayo Clinic, Jacksonville, FL; and Department of Neurology (R.C.P.), Mayo Clinic, Rochester, MN
| | - Charlotte C G Ho
- Department of Neurology (A.S.C., S.R.O., N.R.G.-R., N.E.-T.), and Department of Neuroscience (C.C.G.H., M. Atık, M. Allen, S.L., K.M., T.N., S.R.O., M.C., O.C., S.S., D.W.D., N.E.-T.), Mayo Clinic, Jacksonville, FL; and Department of Neurology (R.C.P.), Mayo Clinic, Rochester, MN
| | - Merve Atık
- Department of Neurology (A.S.C., S.R.O., N.R.G.-R., N.E.-T.), and Department of Neuroscience (C.C.G.H., M. Atık, M. Allen, S.L., K.M., T.N., S.R.O., M.C., O.C., S.S., D.W.D., N.E.-T.), Mayo Clinic, Jacksonville, FL; and Department of Neurology (R.C.P.), Mayo Clinic, Rochester, MN
| | - Mariet Allen
- Department of Neurology (A.S.C., S.R.O., N.R.G.-R., N.E.-T.), and Department of Neuroscience (C.C.G.H., M. Atık, M. Allen, S.L., K.M., T.N., S.R.O., M.C., O.C., S.S., D.W.D., N.E.-T.), Mayo Clinic, Jacksonville, FL; and Department of Neurology (R.C.P.), Mayo Clinic, Rochester, MN
| | - Sarah Lincoln
- Department of Neurology (A.S.C., S.R.O., N.R.G.-R., N.E.-T.), and Department of Neuroscience (C.C.G.H., M. Atık, M. Allen, S.L., K.M., T.N., S.R.O., M.C., O.C., S.S., D.W.D., N.E.-T.), Mayo Clinic, Jacksonville, FL; and Department of Neurology (R.C.P.), Mayo Clinic, Rochester, MN
| | - Kimberly Malphrus
- Department of Neurology (A.S.C., S.R.O., N.R.G.-R., N.E.-T.), and Department of Neuroscience (C.C.G.H., M. Atık, M. Allen, S.L., K.M., T.N., S.R.O., M.C., O.C., S.S., D.W.D., N.E.-T.), Mayo Clinic, Jacksonville, FL; and Department of Neurology (R.C.P.), Mayo Clinic, Rochester, MN
| | - Thuy Nguyen
- Department of Neurology (A.S.C., S.R.O., N.R.G.-R., N.E.-T.), and Department of Neuroscience (C.C.G.H., M. Atık, M. Allen, S.L., K.M., T.N., S.R.O., M.C., O.C., S.S., D.W.D., N.E.-T.), Mayo Clinic, Jacksonville, FL; and Department of Neurology (R.C.P.), Mayo Clinic, Rochester, MN
| | - Stephanie R Oatman
- Department of Neurology (A.S.C., S.R.O., N.R.G.-R., N.E.-T.), and Department of Neuroscience (C.C.G.H., M. Atık, M. Allen, S.L., K.M., T.N., S.R.O., M.C., O.C., S.S., D.W.D., N.E.-T.), Mayo Clinic, Jacksonville, FL; and Department of Neurology (R.C.P.), Mayo Clinic, Rochester, MN
| | - Morgane Corda
- Department of Neurology (A.S.C., S.R.O., N.R.G.-R., N.E.-T.), and Department of Neuroscience (C.C.G.H., M. Atık, M. Allen, S.L., K.M., T.N., S.R.O., M.C., O.C., S.S., D.W.D., N.E.-T.), Mayo Clinic, Jacksonville, FL; and Department of Neurology (R.C.P.), Mayo Clinic, Rochester, MN
| | - Olivia Conway
- Department of Neurology (A.S.C., S.R.O., N.R.G.-R., N.E.-T.), and Department of Neuroscience (C.C.G.H., M. Atık, M. Allen, S.L., K.M., T.N., S.R.O., M.C., O.C., S.S., D.W.D., N.E.-T.), Mayo Clinic, Jacksonville, FL; and Department of Neurology (R.C.P.), Mayo Clinic, Rochester, MN
| | - Samantha Strickland
- Department of Neurology (A.S.C., S.R.O., N.R.G.-R., N.E.-T.), and Department of Neuroscience (C.C.G.H., M. Atık, M. Allen, S.L., K.M., T.N., S.R.O., M.C., O.C., S.S., D.W.D., N.E.-T.), Mayo Clinic, Jacksonville, FL; and Department of Neurology (R.C.P.), Mayo Clinic, Rochester, MN
| | - Ronald C Petersen
- Department of Neurology (A.S.C., S.R.O., N.R.G.-R., N.E.-T.), and Department of Neuroscience (C.C.G.H., M. Atık, M. Allen, S.L., K.M., T.N., S.R.O., M.C., O.C., S.S., D.W.D., N.E.-T.), Mayo Clinic, Jacksonville, FL; and Department of Neurology (R.C.P.), Mayo Clinic, Rochester, MN
| | - Dennis W Dickson
- Department of Neurology (A.S.C., S.R.O., N.R.G.-R., N.E.-T.), and Department of Neuroscience (C.C.G.H., M. Atık, M. Allen, S.L., K.M., T.N., S.R.O., M.C., O.C., S.S., D.W.D., N.E.-T.), Mayo Clinic, Jacksonville, FL; and Department of Neurology (R.C.P.), Mayo Clinic, Rochester, MN
| | - Neill R Graff-Radford
- Department of Neurology (A.S.C., S.R.O., N.R.G.-R., N.E.-T.), and Department of Neuroscience (C.C.G.H., M. Atık, M. Allen, S.L., K.M., T.N., S.R.O., M.C., O.C., S.S., D.W.D., N.E.-T.), Mayo Clinic, Jacksonville, FL; and Department of Neurology (R.C.P.), Mayo Clinic, Rochester, MN
| | - Nilüfer Ertekin-Taner
- Department of Neurology (A.S.C., S.R.O., N.R.G.-R., N.E.-T.), and Department of Neuroscience (C.C.G.H., M. Atık, M. Allen, S.L., K.M., T.N., S.R.O., M.C., O.C., S.S., D.W.D., N.E.-T.), Mayo Clinic, Jacksonville, FL; and Department of Neurology (R.C.P.), Mayo Clinic, Rochester, MN
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38
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Rovelet-Lecrux A, Feuillette S, Miguel L, Schramm C, Pernet S, Quenez O, Ségalas-Milazzo I, Guilhaudis L, Rousseau S, Riou G, Frébourg T, Campion D, Nicolas G, Lecourtois M. Impaired SorLA maturation and trafficking as a new mechanism for SORL1 missense variants in Alzheimer disease. Acta Neuropathol Commun 2021; 9:196. [PMID: 34922638 PMCID: PMC8684260 DOI: 10.1186/s40478-021-01294-4] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Accepted: 11/15/2021] [Indexed: 11/10/2022] Open
Abstract
The SorLA protein, encoded by the SORL1 gene, is a major player in Alzheimer’s disease (AD) pathophysiology. Functional and genetic studies demonstrated that SorLA deficiency results in increased production of Aβ peptides, and thus a higher risk of AD. A large number of SORL1 missense variants have been identified in AD patients, but their functional consequences remain largely undefined. Here, we identified a new pathophysiological mechanism, by which rare SORL1 missense variants identified in AD patients result in altered maturation and trafficking of the SorLA protein. An initial screening, based on the overexpression of 70 SorLA variants in HEK293 cells, revealed that 15 of them (S114R, R332W, G543E, S564G, S577P, R654W, R729W, D806N, Y934C, D1535N, D1545E, P1654L, Y1816C, W1862C, P1914S) induced a maturation and trafficking-deficient phenotype. Three of these variants (R332W, S577P, and R654W) and two maturation-competent variants (S124R and N371T) were further studied in details in CRISPR/Cas9-modified hiPSCs. When expressed at endogenous levels, the R332W, S577P, and R654W SorLA variants also showed a maturation defective profile. We further demonstrated that these variants were largely retained in the endoplasmic reticulum, resulting in a reduction in the delivery of SorLA mature protein to the plasma membrane and to the endosomal system. Importantly, expression of the R332W and R654W variants in hiPSCs was associated with a clear increase of Aβ secretion, demonstrating a loss-of-function effect of these SorLA variants regarding this ultimate readout, and a direct link with AD pathophysiology. Furthermore, structural analysis of the impact of missense variants on SorLA protein suggested that impaired cellular trafficking of SorLA protein could be due to subtle variations of the protein 3D structure resulting from changes in the interatomic interactions.
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You M, Zhou X, Yin W, Wan K, Zhang W, Li C, Li M, Zhu W, Zhu X, Sun Z. The Influence of MTHFR Polymorphism on Gray Matter Volume in Patients With Amnestic Mild Cognitive Impairment. Front Neurosci 2021; 15:778123. [PMID: 34916904 PMCID: PMC8670096 DOI: 10.3389/fnins.2021.778123] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2021] [Accepted: 11/05/2021] [Indexed: 12/17/2022] Open
Abstract
The methylenetetrahydrofolate reductase (MTHFR) gene has been associated with Alzheimer's disease (AD) pathogenesis. Amnestic mild cognitive impairment (aMCI) represents a prodromal stage of dementia and involves a high risk of progression into AD. Although the effects of the apolipoprotein E (APOE) gene on structural alterations in aMCI have been widely investigated, the effects of MTHFR C677T and interaction effects of MTHFR × APOE genotypes on gray matter atrophy in aMCI remain largely unknown. In the present study, 60 aMCI patients and 30 healthy controls were enrolled, and voxel-based morphometry analysis was performed to inspect the effects of diagnosis, different genotypes, and their interactions on gray matter atrophy. The results showed that aMCI patients had significant gray matter atrophy involving the bilateral hippocampus, the right parahippocampal gyrus, and the left superior temporal gyrus compared with healthy controls. Besides, a substantial reduction in gray matter volume was observed in the right hippocampus region in APOE ε4 carriers from the aMCI group, compared with APOE ε4 non-carriers. A significant interaction was found between diagnosis and MTHFR C677T genotype on the right precuneus in healthy controls and aMCI patients not carrying APOE ε4 allele. Our findings may provide new evidence substantiating the genetic effects of MTHFR C677T on brain structural alternation in patients with aMCI.
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Affiliation(s)
- Mengzhe You
- Department of Neurology, First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Xia Zhou
- Department of Neurology, First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Wenwen Yin
- Department of Neurology, First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Ke Wan
- Department of Neurology, First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Wei Zhang
- Department of Neurology, First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Chenchen Li
- Department of Neurology, First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Mingxu Li
- Department of Neurology, First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Wenhao Zhu
- Department of Neurology, First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Xiaoqun Zhu
- Department of Neurology, First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Zhongwu Sun
- Department of Neurology, First Affiliated Hospital of Anhui Medical University, Hefei, China
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Hampel H, Hardy J, Blennow K, Chen C, Perry G, Kim SH, Villemagne VL, Aisen P, Vendruscolo M, Iwatsubo T, Masters CL, Cho M, Lannfelt L, Cummings JL, Vergallo A. The Amyloid-β Pathway in Alzheimer's Disease. Mol Psychiatry 2021; 26:5481-5503. [PMID: 34456336 PMCID: PMC8758495 DOI: 10.1038/s41380-021-01249-0] [Citation(s) in RCA: 450] [Impact Index Per Article: 150.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/19/2021] [Revised: 07/19/2021] [Accepted: 07/28/2021] [Indexed: 02/06/2023]
Abstract
Breakthroughs in molecular medicine have positioned the amyloid-β (Aβ) pathway at the center of Alzheimer's disease (AD) pathophysiology. While the detailed molecular mechanisms of the pathway and the spatial-temporal dynamics leading to synaptic failure, neurodegeneration, and clinical onset are still under intense investigation, the established biochemical alterations of the Aβ cycle remain the core biological hallmark of AD and are promising targets for the development of disease-modifying therapies. Here, we systematically review and update the vast state-of-the-art literature of Aβ science with evidence from basic research studies to human genetic and multi-modal biomarker investigations, which supports a crucial role of Aβ pathway dyshomeostasis in AD pathophysiological dynamics. We discuss the evidence highlighting a differentiated interaction of distinct Aβ species with other AD-related biological mechanisms, such as tau-mediated, neuroimmune and inflammatory changes, as well as a neurochemical imbalance. Through the lens of the latest development of multimodal in vivo biomarkers of AD, this cross-disciplinary review examines the compelling hypothesis- and data-driven rationale for Aβ-targeting therapeutic strategies in development for the early treatment of AD.
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Affiliation(s)
- Harald Hampel
- Eisai Inc., Neurology Business Group, Woodcliff Lake, NJ, USA.
| | - John Hardy
- UK Dementia Research Institute at UCL and Department of Neurodegenerative Disease, UCL Institute of Neurology, University College London, London, UK
| | - Kaj Blennow
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - Christopher Chen
- Memory Aging and Cognition Centre, Departments of Pharmacology and Psychological Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - George Perry
- Department of Biology and Neurosciences Institute, University of Texas at San Antonio (UTSA), San Antonio, TX, USA
| | - Seung Hyun Kim
- Department of Neurology, College of Medicine, Hanyang University, Seoul, Republic of Korea; Cell Therapy Center, Hanyang University Hospital, Seoul, Republic of Korea
| | - Victor L Villemagne
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Medicine, The University of Melbourne, Melbourne, VIC, Australia
| | - Paul Aisen
- USC Alzheimer's Therapeutic Research Institute, San Diego, CA, USA
| | - Michele Vendruscolo
- Centre for Misfolding Diseases, Department of Chemistry, University of Cambridge, Cambridge, UK
| | - Takeshi Iwatsubo
- Department of Neuropathology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Colin L Masters
- Laureate Professor of Dementia Research, Florey Institute and The University of Melbourne, Parkville, VIC, Australia
| | - Min Cho
- Eisai Inc., Neurology Business Group, Woodcliff Lake, NJ, USA
| | - Lars Lannfelt
- Uppsala University, Department of of Public Health/Geriatrics, Uppsala, Sweden
- BioArctic AB, Stockholm, Sweden
| | - Jeffrey L Cummings
- Chambers-Grundy Center for Transformative Neuroscience, Department of Brain Health, School of Integrated Health Sciences, University of Nevada Las Vegas (UNLV), Las Vegas, NV, USA
| | - Andrea Vergallo
- Eisai Inc., Neurology Business Group, Woodcliff Lake, NJ, USA.
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Escott-Price V, Schmidt KM. Probability of Alzheimer's disease based on common and rare genetic variants. ALZHEIMERS RESEARCH & THERAPY 2021; 13:140. [PMID: 34404470 PMCID: PMC8369699 DOI: 10.1186/s13195-021-00884-7] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/23/2021] [Accepted: 08/05/2021] [Indexed: 11/19/2022]
Abstract
Background Alzheimer’s disease, among other neurodegenerative disorders, spans decades in individuals’ life and exhibits complex progression, symptoms and pathophysiology. Early diagnosis is essential for disease prevention and therapeutic intervention. Genetics may help identify individuals at high risk. As thousands of genetic variants may contribute to the genetic risk of Alzheimer’s disease, the polygenic risk score (PRS) approach has been shown to be useful for disease risk prediction. The APOE-ε4 allele is a known common variant associated with high risk to AD, but also associated with earlier onset. Rare variants usually have higher effect sizes than common ones; their impact may not be well captured by the PRS. Instead of standardised PRS, we propose to calculate the disease probability as a measure of disease risk that allows comparison between individuals. Methods We estimate AD risk as a probability based on PRS and separately accounting for APOE, AD rare variants and the disease prevalence in age groups. The mathematical framework makes use of genetic variants effect sizes from summary statistics and AD disease prevalence in age groups. Results The AD probability varies with respect to age, APOE status and presence of rare variants. In age group 65+, the probability of AD grows from 0.03 to 0.18 (without APOE) and 0.07 to 0.7 (APOE e4e4 carriers) as PRS increases. In 85+, these values are 0.08–0.6 and 0.3–0.85. Presence of rare mutations, e.g. in TREM2, may increase the probability (in 65+) from 0.02 at the negative tail of the PRS to 0.3. Conclusions Our approach accounts for the varying disease prevalence in different genotype and age groups when modelling the APOE and rare genetic variants risk in addition to PRS. This approach has potential for use in a clinical setting and can easily be updated for novel rare variants and for other populations or confounding factors when appropriate genome-wide association data become available. Supplementary Information The online version contains supplementary material available at 10.1186/s13195-021-00884-7.
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Affiliation(s)
- Valentina Escott-Price
- Dementia Research Institute, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Hadyn Ellis Building, Maindy Rd, Cardiff, CF24 4HQ, UK.
| | - Karl Michael Schmidt
- School of Mathematics, Cardiff University, Senghennydd Road, Cardiff, CF24 4AG, UK
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42
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Katsaouni N, Tashkandi A, Wiese L, Schulz MH. Machine learning based disease prediction from genotype data. Biol Chem 2021; 402:871-885. [PMID: 34218544 DOI: 10.1515/hsz-2021-0109] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2021] [Accepted: 06/15/2021] [Indexed: 12/16/2022]
Abstract
Using results from genome-wide association studies for understanding complex traits is a current challenge. Here we review how genotype data can be used with different machine learning (ML) methods to predict phenotype occurrence and severity from genotype data. We discuss common feature encoding schemes and how studies handle the often small number of samples compared to the huge number of variants. We compare which ML methods are being applied, including recent results using deep neural networks. Further, we review the application of methods for feature explanation and interpretation.
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Affiliation(s)
- Nikoletta Katsaouni
- Institute for Cardiovascular Regeneration, Goethe University, 60590Frankfurt am Main, Germany
| | - Araek Tashkandi
- Institute of Computer Sciences and Engineering, University of Jeddah, 21959Jeddah, Saudi Arabia
| | - Lena Wiese
- Institute of Computer Science, Goethe University, 60629Frankfurt am Main, Germany
| | - Marcel H Schulz
- Institute for Cardiovascular Regeneration, Goethe University, 60590Frankfurt am Main, Germany.,German Center for Cardiovascular Research (DZHK), Partner Site RheinMain, 60590Frankfurt am Main, Germany.,Cardio-Pulmonary Institute, Goethe University Hospital, Frankfurt am Main, Germany
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43
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Eryilmaz IE, Bakar M, Egeli U, Cecener G, Yurdacan B, Colak DK, Tunca B. Evaluation of the Clinical Features Accompanied by the Gene Mutations: The 2 Novel PSEN1 Variants in a Turkish Early-onset Alzheimer Disease Cohort. Alzheimer Dis Assoc Disord 2021; 35:214-222. [PMID: 33769986 DOI: 10.1097/wad.0000000000000437] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2020] [Accepted: 01/03/2021] [Indexed: 11/25/2022]
Abstract
INTRODUCTION Early-onset Alzheimer disease (EOAD) is an earlier Alzheimer disease form which is characterized by the mutations in the amyloid precursor protein, presenilin-1/2 (PSEN1/2), and triggering receptor expressed on myeloid cells 2 (TREM2). However, it is still necessary to report mutational screening in multiethnic groups to improve the genetic background of EOAD due to the variant classification challenge. METHODS We performed targeted sequencing for the amyloid precursor protein, PSEN1, PSEN2, and TREM2 genes in 74 patients and 1 family diagnosed with EOAD. RESULTS Among the detected variants, 8 were coding and 6 were noncoding in 15 of 74 patients. In PSEN1, 2 pathogenic coding variants (T274K and L364P) detected in 2 patients were novel and 3 coding variants (G183V, E318G, and L219P) detected in 2 patients were previously reported. We found 4 patients with the compound heterozygosity for the PSEN2 A23= and N43= and a family with the coexistence of them, and 1 patient with TREM2 Y38C. The coding variation frequency was 12.1%. In silico analysis indicated pathogenic potentials and clinical interpretations of the detected variants. CONCLUSION Our study reveals the rare gene variants including novel ones from the Turkish EOAD cohort and provides to clinicians the list of detected variants in the screened genes, which may also be useful for accurate genetic counseling.
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Affiliation(s)
| | - Mustafa Bakar
- Neurology Department, Bursa Uludag University, Faculty of Medicine, Gorukle, Bursa
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44
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McFarland KN, Ceballos C, Rosario A, Ladd T, Moore B, Golde G, Wang X, Allen M, Ertekin-Taner N, Funk CC, Robinson M, Baloni P, Rappaport N, Chakrabarty P, Golde TE. Microglia show differential transcriptomic response to Aβ peptide aggregates ex vivo and in vivo. Life Sci Alliance 2021; 4:4/7/e202101108. [PMID: 34127518 PMCID: PMC8321667 DOI: 10.26508/lsa.202101108] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2021] [Revised: 05/27/2021] [Accepted: 05/28/2021] [Indexed: 01/01/2023] Open
Abstract
Aggregation and accumulation of amyloid-β (Aβ) is a defining feature of Alzheimer's disease pathology. To study microglial responses to Aβ, we applied exogenous Aβ peptide, in either oligomeric or fibrillar conformation, to primary mouse microglial cultures and evaluated system-level transcriptional changes and then compared these with transcriptomic changes in the brains of CRND8 APP mice. We find that primary microglial cultures have rapid and massive transcriptional change in response to Aβ. Transcriptomic responses to oligomeric or fibrillar Aβ in primary microglia, although partially overlapping, are distinct and are not recapitulated in vivo where Aβ progressively accumulates. Furthermore, although classic immune mediators show massive transcriptional changes in the primary microglial cultures, these changes are not observed in the mouse model. Together, these data extend previous studies which demonstrate that microglia responses ex vivo are poor proxies for in vivo responses. Finally, these data demonstrate the potential utility of using microglia as biosensors of different aggregate conformation, as the transcriptional responses to oligomeric and fibrillar Aβ can be distinguished.
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Affiliation(s)
- Karen N McFarland
- Department of Neurology, University of Florida, Gainesville, FL, USA .,Center for Translational Research in Neurodegenerative Disease, University of Florida, Gainesville, FL, USA.,McKnight Brain Institute, University of Florida, Gainesville, FL, USA
| | - Carolina Ceballos
- Center for Translational Research in Neurodegenerative Disease, University of Florida, Gainesville, FL, USA.,McKnight Brain Institute, University of Florida, Gainesville, FL, USA.,Department of Neuroscience, University of Florida, Gainesville, FL, USA
| | - Awilda Rosario
- Center for Translational Research in Neurodegenerative Disease, University of Florida, Gainesville, FL, USA.,McKnight Brain Institute, University of Florida, Gainesville, FL, USA.,Department of Neuroscience, University of Florida, Gainesville, FL, USA
| | - Thomas Ladd
- Center for Translational Research in Neurodegenerative Disease, University of Florida, Gainesville, FL, USA.,McKnight Brain Institute, University of Florida, Gainesville, FL, USA.,Department of Neuroscience, University of Florida, Gainesville, FL, USA
| | - Brenda Moore
- Center for Translational Research in Neurodegenerative Disease, University of Florida, Gainesville, FL, USA.,McKnight Brain Institute, University of Florida, Gainesville, FL, USA.,Department of Neuroscience, University of Florida, Gainesville, FL, USA
| | - Griffin Golde
- Center for Translational Research in Neurodegenerative Disease, University of Florida, Gainesville, FL, USA
| | - Xue Wang
- Department of Health Sciences Research, Mayo Clinic, Jacksonville, FL, USA
| | - Mariet Allen
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, USA
| | - Nilüfer Ertekin-Taner
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, USA.,Department of Neurology, Mayo Clinic, Jacksonville, FL, USA
| | - Cory C Funk
- Institute for Systems Biology, Seattle, WA, USA
| | | | | | | | - Paramita Chakrabarty
- Center for Translational Research in Neurodegenerative Disease, University of Florida, Gainesville, FL, USA.,McKnight Brain Institute, University of Florida, Gainesville, FL, USA.,Department of Neuroscience, University of Florida, Gainesville, FL, USA
| | - Todd E Golde
- Center for Translational Research in Neurodegenerative Disease, University of Florida, Gainesville, FL, USA .,McKnight Brain Institute, University of Florida, Gainesville, FL, USA.,Department of Neuroscience, University of Florida, Gainesville, FL, USA
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45
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Knopman DS, Amieva H, Petersen RC, Chételat G, Holtzman DM, Hyman BT, Nixon RA, Jones DT. Alzheimer disease. Nat Rev Dis Primers 2021; 7:33. [PMID: 33986301 PMCID: PMC8574196 DOI: 10.1038/s41572-021-00269-y] [Citation(s) in RCA: 727] [Impact Index Per Article: 242.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 04/09/2021] [Indexed: 12/21/2022]
Abstract
Alzheimer disease (AD) is biologically defined by the presence of β-amyloid-containing plaques and tau-containing neurofibrillary tangles. AD is a genetic and sporadic neurodegenerative disease that causes an amnestic cognitive impairment in its prototypical presentation and non-amnestic cognitive impairment in its less common variants. AD is a common cause of cognitive impairment acquired in midlife and late-life but its clinical impact is modified by other neurodegenerative and cerebrovascular conditions. This Primer conceives of AD biology as the brain disorder that results from a complex interplay of loss of synaptic homeostasis and dysfunction in the highly interrelated endosomal/lysosomal clearance pathways in which the precursors, aggregated species and post-translationally modified products of Aβ and tau play important roles. Therapeutic endeavours are still struggling to find targets within this framework that substantially change the clinical course in persons with AD.
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Affiliation(s)
| | - Helene Amieva
- Inserm U1219 Bordeaux Population Health Center, University of Bordeaux, Bordeaux, France
| | | | - Gäel Chételat
- Normandie Univ, UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", Institut Blood and Brain @ Caen-Normandie, Cyceron, Caen, France
| | - David M Holtzman
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
| | - Bradley T Hyman
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - Ralph A Nixon
- Departments of Psychiatry and Cell Biology, New York University Langone Medical Center, New York University, New York, NY, USA
- NYU Neuroscience Institute, New York University Langone Medical Center, New York University, New York, NY, USA
| | - David T Jones
- Department of Neurology, Mayo Clinic, Rochester, MN, USA
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46
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Bossaerts L, Hens E, Hanseeuw B, Vandenberghe R, Cras P, De Deyn PP, Engelborghs S, Van Broeckhoven C. Premature termination codon mutations in ABCA7 contribute to Alzheimer's disease risk in Belgian patients. Neurobiol Aging 2021; 106:307.e1-307.e7. [PMID: 34090711 DOI: 10.1016/j.neurobiolaging.2021.04.023] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2020] [Revised: 03/31/2021] [Accepted: 04/23/2021] [Indexed: 01/19/2023]
Abstract
The ATP-Binding Cassette Subfamily A Member 7 gene (ABCA7) was identified as a risk gene for Alzheimer's disease (AD) in genome-wide association studies of large cohorts of late-onset AD (LOAD) patients. Extended resequencing of the ABCA7 coding regions identified mutations that lead to premature termination codons (PTC) and loss of function of ABCA7. PTC mutations were enriched in LOAD patients and were frequently present in patients with early-onset AD (EOAD). We aimed at assessing the contribution of ABCA7 PTC mutations to AD in the Belgian population by screening the ABCA7 coding region in a Belgian AD cohort of 1376 patients, including LOAD and EOAD patients, and in a Belgian control cohort of 976 individuals. We identified a PTC mutation in 67 AD patients (4.9%) and in 18 control individuals (1.8%) confirming the enrichment of ABCA7 PTC mutations in Belgian AD patients. The patient carriers had a mean onset age of 69.7 ± 9.8 years with a wide onset age range of 42 years (48-90 years). In 77.3% of the families of ABCA7 carriers, there were AD patients present suggestive of a positive family history of disease, but a Mendelian co-segregation of ABCA7 PTC mutations with disease is not clear. Overall, our genetic data predict that PTC mutations in ABCA7 are common in the Belgian population and are present in LOAD and EOAD patients.
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Affiliation(s)
- Liene Bossaerts
- Neurodegenerative Brain Diseases Group, VIB Center for Molecular Neurology, Antwerp, Belgium; Institute Born-Bunge, Antwerp, Belgium; Department of Biomedical Sciences, University of Antwerp, Antwerp, Belgium
| | - Elisabeth Hens
- Neurodegenerative Brain Diseases Group, VIB Center for Molecular Neurology, Antwerp, Belgium; Institute Born-Bunge, Antwerp, Belgium; Department of Biomedical Sciences, University of Antwerp, Antwerp, Belgium; Department of Neurology, University Hospital Antwerp, Edegem, Belgium; Department of Neurology and Memory Clinic, Hospital Network Antwerp, Antwerp, Belgium; Department of Neurology, University Hospital Brussels, and University Center for Neurosciences, VUB, Brussels, Belgium
| | - Bernard Hanseeuw
- Department of Neurology, University Hospitals Saint-Luc Brussels and University Institute of Neuroscience, UC Louvain, Louvain-la-Neuve, Belgium
| | - Rik Vandenberghe
- Department of Neurology, University Hospitals Leuven and University Department of Neurosciences KU Leuven, Leuven, Belgium
| | - Patrick Cras
- Institute Born-Bunge, Antwerp, Belgium; Department of Biomedical Sciences, University of Antwerp, Antwerp, Belgium; Department of Neurology, University Hospital Antwerp, Edegem, Belgium
| | - Peter P De Deyn
- Institute Born-Bunge, Antwerp, Belgium; Department of Biomedical Sciences, University of Antwerp, Antwerp, Belgium; Department of Neurology and Memory Clinic, Hospital Network Antwerp, Antwerp, Belgium
| | - Sebastiaan Engelborghs
- Institute Born-Bunge, Antwerp, Belgium; Department of Biomedical Sciences, University of Antwerp, Antwerp, Belgium; Department of Neurology, University Hospital Brussels, and University Center for Neurosciences, VUB, Brussels, Belgium
| | - Christine Van Broeckhoven
- Neurodegenerative Brain Diseases Group, VIB Center for Molecular Neurology, Antwerp, Belgium; Institute Born-Bunge, Antwerp, Belgium; Department of Biomedical Sciences, University of Antwerp, Antwerp, Belgium.
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47
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Dib S, Pahnke J, Gosselet F. Role of ABCA7 in Human Health and in Alzheimer's Disease. Int J Mol Sci 2021; 22:ijms22094603. [PMID: 33925691 PMCID: PMC8124837 DOI: 10.3390/ijms22094603] [Citation(s) in RCA: 40] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2021] [Revised: 04/23/2021] [Accepted: 04/26/2021] [Indexed: 12/17/2022] Open
Abstract
Several studies, including genome wide association studies (GWAS), have strongly suggested a central role for the ATP-binding cassette transporter subfamily A member 7 (ABCA7) in Alzheimer’s disease (AD). This ABC transporter is now considered as an important genetic determinant for late onset Alzheimer disease (LOAD) by regulating several molecular processes such as cholesterol metabolism and amyloid processing and clearance. In this review we shed light on these new functions and their cross-talk, explaining its implication in brain functioning, and therefore in AD onset and development.
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Affiliation(s)
- Shiraz Dib
- UR2465, LBHE-Blood–Brain Barrier Laboratory, University Artois, 62300 Lens, France;
| | - Jens Pahnke
- Department of Neuro-/Pathology, University of Oslo and Oslo University Hospital, Sognsvannsveien 20, 0372 Oslo, Norway;
- LIED, University of Lübeck, Ratzenburger Allee 160, 23538 Lübeck, Germany
- Department of Pharmacology, Faculty of Medicine, University of Latvia, Jelgavas iela 3, 1004 Riga, Latvia
- Department of Bioorganic Chemistry, Leibniz-Institute of Plant Biochemistry, Weinberg 3, 06120 Halle, Germany
| | - Fabien Gosselet
- UR2465, LBHE-Blood–Brain Barrier Laboratory, University Artois, 62300 Lens, France;
- Correspondence: ; Tel.: +33-(0)3-21791733
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48
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Hughes LD, Wang Y, Meli AP, Rothlin CV, Ghosh S. Decoding Cell Death: From a Veritable Library of Babel to Vade Mecum? Annu Rev Immunol 2021; 39:791-817. [PMID: 33902311 DOI: 10.1146/annurev-immunol-102819-072601] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Programmed cell death (PCD) is a requisite feature of development and homeostasis but can also be indicative of infections, injuries, and pathologies. In concordance with these heterogeneous contexts, an array of disparate effector responses occur downstream of cell death and its clearance-spanning tissue morphogenesis, homeostatic turnover, host defense, active dampening of inflammation, and tissue repair. This raises a fundamental question of how a single contextually appropriate response ensues after an event of PCD. To explore how complex inputs may together tailor the specificity of the resulting effector response, here we consider (a) the varying contexts during which different cell death modalities are observed, (b) the nature of the information that can be passed on by cell corpses, and (c) the ways by which efferocyte populations synthesize signals from dying cells with those from the surrounding microenvironment.
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Affiliation(s)
- Lindsey D Hughes
- Department of Immunobiology, School of Medicine, Yale University, New Haven, Connecticut 06520, USA; , , ,
| | - Yaqiu Wang
- Department of Immunobiology, School of Medicine, Yale University, New Haven, Connecticut 06520, USA; , , ,
| | - Alexandre P Meli
- Department of Immunobiology, School of Medicine, Yale University, New Haven, Connecticut 06520, USA; , , ,
| | - Carla V Rothlin
- Department of Immunobiology, School of Medicine, Yale University, New Haven, Connecticut 06520, USA; , , , .,Department of Pharmacology, School of Medicine, Yale University, New Haven, Connecticut 06520, USA;
| | - Sourav Ghosh
- Department of Pharmacology, School of Medicine, Yale University, New Haven, Connecticut 06520, USA; .,Department of Neurology, School of Medicine, Yale University, New Haven, Connecticut 06520, USA
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49
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Scheltens P, De Strooper B, Kivipelto M, Holstege H, Chételat G, Teunissen CE, Cummings J, van der Flier WM. Alzheimer's disease. Lancet 2021; 397:1577-1590. [PMID: 33667416 PMCID: PMC8354300 DOI: 10.1016/s0140-6736(20)32205-4] [Citation(s) in RCA: 1454] [Impact Index Per Article: 484.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/26/2020] [Revised: 08/21/2020] [Accepted: 10/15/2020] [Indexed: 12/16/2022]
Abstract
In this Seminar, we highlight the main developments in the field of Alzheimer's disease. The most recent data indicate that, by 2050, the prevalence of dementia will double in Europe and triple worldwide, and that estimate is 3 times higher when based on a biological (rather than clinical) definition of Alzheimer's disease. The earliest phase of Alzheimer's disease (cellular phase) happens in parallel with accumulating amyloid β, inducing the spread of tau pathology. The risk of Alzheimer's disease is 60-80% dependent on heritable factors, with more than 40 Alzheimer's disease-associated genetic risk loci already identified, of which the APOE alleles have the strongest association with the disease. Novel biomarkers include PET scans and plasma assays for amyloid β and phosphorylated tau, which show great promise for clinical and research use. Multidomain lifestyle-based prevention trials suggest cognitive benefits in participants with increased risk of dementia. Lifestyle factors do not directly affect Alzheimer's disease pathology, but can still contribute to a positive outcome in individuals with Alzheimer's disease. Promising pharmacological treatments are poised at advanced stages of clinical trials and include anti-amyloid β, anti-tau, and anti-inflammatory strategies.
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Affiliation(s)
- Philip Scheltens
- Alzheimer Centre Amsterdam, Amsterdam University Medical Centers, Amsterdam, Netherlands; Department of Neurology, Amsterdam University Medical Centers, Amsterdam, Netherlands; Life Science Partners, Amsterdam, Netherlands.
| | - Bart De Strooper
- VIB Center for Brain and Disease Research, Leuven, Belgium; KU Leuven Department for Neurology, Leuven, Belgium; Dementia Research Institute, University College London, London, UK
| | - Miia Kivipelto
- Division of Clinical Geriatrics and Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska University Hospital, Stockholm, Sweden; Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland; Ageing and Epidemiology Research Unit, School of Public Health, Imperial College London, London, UK
| | - Henne Holstege
- Alzheimer Centre Amsterdam, Amsterdam University Medical Centers, Amsterdam, Netherlands; Department of Clinical Genetics, Amsterdam University Medical Centers, Amsterdam, Netherlands
| | - Gael Chételat
- Normandie Université, Université de Caen, Institut National de la Santé et de la Recherche Médicale, Groupement d'Intérêt Public Cyceron, Caen, France
| | - Charlotte E Teunissen
- Department of Clinical Chemistry, Amsterdam University Medical Centers, Amsterdam, Netherlands
| | - Jeffrey Cummings
- Chambers-Grundy Center for Transformative Neuroscience, Department of Brain Health, University of Nevada, Las Vegas, NV, USA; Cleveland Clinic Lou Ruvo Center for Brain Health, Las Vegas, NV, USA
| | - Wiesje M van der Flier
- Alzheimer Centre Amsterdam, Amsterdam University Medical Centers, Amsterdam, Netherlands; Department of Epidemiology and Datascience, Amsterdam University Medical Centers, Amsterdam, Netherlands
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50
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Trujillo-Estrada L, Sanchez-Mejias E, Sanchez-Varo R, Garcia-Leon JA, Nuñez-Diaz C, Davila JC, Vitorica J, LaFerla FM, Moreno-Gonzalez I, Gutierrez A, Baglietto-Vargas D. Animal and Cellular Models of Alzheimer's Disease: Progress, Promise, and Future Approaches. Neuroscientist 2021; 28:572-593. [PMID: 33769131 DOI: 10.1177/10738584211001753] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Alzheimer's disease (AD) is an incurable neurodegenerative disease affecting over 45 million people worldwide. Transgenic mouse models have made remarkable contributions toward clarifying the pathophysiological mechanisms behind the clinical manifestations of AD. However, the limited ability of these in vivo models to accurately replicate the biology of the human disease have precluded the translation of promising preclinical therapies to the clinic. In this review, we highlight several major pathogenic mechanisms of AD that were discovered using transgenic mouse models. Moreover, we discuss the shortcomings of current animal models and the need to develop reliable models for the sporadic form of the disease, which accounts for the majority of AD cases, as well as human cellular models to improve success in translating results into human treatments.
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Affiliation(s)
- Laura Trujillo-Estrada
- Departamento Biologia Celular, Genetica y Fisiologia, Instituto de Investigacion Biomedica de Malaga-IBIMA, Facultad de Ciencias, Universidad de Malaga, Malaga, Spain.,Centro de Investigacion Biomedica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - Elisabeth Sanchez-Mejias
- Departamento Biologia Celular, Genetica y Fisiologia, Instituto de Investigacion Biomedica de Malaga-IBIMA, Facultad de Ciencias, Universidad de Malaga, Malaga, Spain.,Centro de Investigacion Biomedica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - Raquel Sanchez-Varo
- Departamento Biologia Celular, Genetica y Fisiologia, Instituto de Investigacion Biomedica de Malaga-IBIMA, Facultad de Ciencias, Universidad de Malaga, Malaga, Spain.,Centro de Investigacion Biomedica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - Juan Antonio Garcia-Leon
- Departamento Biologia Celular, Genetica y Fisiologia, Instituto de Investigacion Biomedica de Malaga-IBIMA, Facultad de Ciencias, Universidad de Malaga, Malaga, Spain.,Centro de Investigacion Biomedica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - Cristina Nuñez-Diaz
- Departamento Biologia Celular, Genetica y Fisiologia, Instituto de Investigacion Biomedica de Malaga-IBIMA, Facultad de Ciencias, Universidad de Malaga, Malaga, Spain.,Centro de Investigacion Biomedica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - Jose Carlos Davila
- Departamento Biologia Celular, Genetica y Fisiologia, Instituto de Investigacion Biomedica de Malaga-IBIMA, Facultad de Ciencias, Universidad de Malaga, Malaga, Spain.,Centro de Investigacion Biomedica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - Javier Vitorica
- Centro de Investigacion Biomedica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain.,Departamento Bioquimica y Biologia Molecular, Facultad de Farmacia, Universidad de Sevilla, Instituto de Biomedicina de Sevilla (IBiS)-Hospital Universitario Virgen del Rocio/CSIC/Universidad de Sevilla, Sevilla, Spain
| | - Frank M LaFerla
- Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, CA, USA.,Department of Neurobiology and Behavior, University of California, Irvine, CA, USA
| | - Ines Moreno-Gonzalez
- Departamento Biologia Celular, Genetica y Fisiologia, Instituto de Investigacion Biomedica de Malaga-IBIMA, Facultad de Ciencias, Universidad de Malaga, Malaga, Spain.,Centro de Investigacion Biomedica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - Antonia Gutierrez
- Departamento Biologia Celular, Genetica y Fisiologia, Instituto de Investigacion Biomedica de Malaga-IBIMA, Facultad de Ciencias, Universidad de Malaga, Malaga, Spain.,Centro de Investigacion Biomedica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - David Baglietto-Vargas
- Departamento Biologia Celular, Genetica y Fisiologia, Instituto de Investigacion Biomedica de Malaga-IBIMA, Facultad de Ciencias, Universidad de Malaga, Malaga, Spain.,Centro de Investigacion Biomedica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
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