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Koetsier J, Cavill R, Reijnders R, Harvey J, Homann J, Kouhsar M, Deckers K, Köhler S, Eijssen LMT, van den Hove DLA, Demuth I, Düzel S, Smith RG, Smith AR, Burrage J, Walker EM, Shireby G, Hannon E, Dempster E, Frayling T, Mill J, Dobricic V, Johannsen P, Wittig M, Franke A, Vandenberghe R, Schaeverbeke J, Freund-Levi Y, Frölich L, Scheltens P, Teunissen CE, Frisoni G, Blin O, Richardson JC, Bordet R, Engelborghs S, de Roeck E, Martinez-Lage P, Tainta M, Lleó A, Sala I, Popp J, Peyratout G, Verhey F, Tsolaki M, Andreasson U, Blennow K, Zetterberg H, Streffer J, Vos SJB, Lovestone S, Visser PJ, Lill CM, Bertram L, Lunnon K, Pishva E. Blood-based multivariate methylation risk score for cognitive impairment and dementia. Alzheimers Dement 2024. [PMID: 39193899 DOI: 10.1002/alz.14061] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Revised: 05/03/2024] [Accepted: 05/06/2024] [Indexed: 08/29/2024]
Abstract
INTRODUCTION The established link between DNA methylation and pathophysiology of dementia, along with its potential role as a molecular mediator of lifestyle and environmental influences, positions blood-derived DNA methylation as a promising tool for early dementia risk detection. METHODS In conjunction with an extensive array of machine learning techniques, we employed whole blood genome-wide DNA methylation data as a surrogate for 14 modifiable and non-modifiable factors in the assessment of dementia risk in independent dementia cohorts. RESULTS We established a multivariate methylation risk score (MMRS) for identifying mild cognitive impairment cross-sectionally, independent of age and sex (P = 2.0 × 10-3). This score significantly predicted the prospective development of cognitive impairments in independent studies of Alzheimer's disease (hazard ratio for Rey's Auditory Verbal Learning Test (RAVLT)-Learning = 2.47) and Parkinson's disease (hazard ratio for MCI/dementia = 2.59). DISCUSSION Our work shows the potential of employing blood-derived DNA methylation data in the assessment of dementia risk. HIGHLIGHTS We used whole blood DNA methylation as a surrogate for 14 dementia risk factors. Created a multivariate methylation risk score for predicting cognitive impairment. Emphasized the role of machine learning and omics data in predicting dementia. The score predicts cognitive impairment development at the population level.
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Affiliation(s)
- Jarno Koetsier
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience (MHeNs), Faculty of Health, Medicine and Life Sciences (FHML), Maastricht University, Maastricht, The Netherlands
- Department of Biochemistry, Cardiovascular Research Institute Maastricht (CARIM), Faculty of Health, Medicine and Life Sciences (FHML), Maastricht University, Maastricht, The Netherlands
| | - Rachel Cavill
- Department of Advanced Computing Sciences (DACS), Faculty of Science and Engineering (FSE), Maastricht University, Maastricht, The Netherlands
| | - Rick Reijnders
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience (MHeNs), Faculty of Health, Medicine and Life Sciences (FHML), Maastricht University, Maastricht, The Netherlands
| | - Joshua Harvey
- Medical School, Faculty of Health and Life Sciences, University of Exeter, Exeter, UK
| | - Jan Homann
- Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany
| | - Morteza Kouhsar
- Medical School, Faculty of Health and Life Sciences, University of Exeter, Exeter, UK
| | - Kay Deckers
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience (MHeNs), Faculty of Health, Medicine and Life Sciences (FHML), Maastricht University, Maastricht, The Netherlands
| | - Sebastian Köhler
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience (MHeNs), Faculty of Health, Medicine and Life Sciences (FHML), Maastricht University, Maastricht, The Netherlands
| | - Lars M T Eijssen
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience (MHeNs), Faculty of Health, Medicine and Life Sciences (FHML), Maastricht University, Maastricht, The Netherlands
- Department of Bioinformatics - BiGCaT, Research Institute of Nutrition and Translational Research in Metabolism (NUTRIM), Faculty of Health, Medicine and Life Sciences (FHML), Maastricht University, Maastricht, The Netherlands
| | - Daniel L A van den Hove
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience (MHeNs), Faculty of Health, Medicine and Life Sciences (FHML), Maastricht University, Maastricht, The Netherlands
- Department of Psychiatry, Psychosomatics and Psychotherapy, University of Wuerzburg, Dr. Manuel Nagel, Würzburg, Germany
| | - Ilja Demuth
- Department of Endocrinology and Metabolic Diseases (including Division of Lipid Metabolism), Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- BCRT - Berlin Institute of Health Center for Regenerative Therapies, Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Sandra Düzel
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany
| | - Rebecca G Smith
- Medical School, Faculty of Health and Life Sciences, University of Exeter, Exeter, UK
| | - Adam R Smith
- Medical School, Faculty of Health and Life Sciences, University of Exeter, Exeter, UK
| | - Joe Burrage
- Medical School, Faculty of Health and Life Sciences, University of Exeter, Exeter, UK
| | - Emma M Walker
- Medical School, Faculty of Health and Life Sciences, University of Exeter, Exeter, UK
| | - Gemma Shireby
- Medical School, Faculty of Health and Life Sciences, University of Exeter, Exeter, UK
| | - Eilis Hannon
- Medical School, Faculty of Health and Life Sciences, University of Exeter, Exeter, UK
| | - Emma Dempster
- Medical School, Faculty of Health and Life Sciences, University of Exeter, Exeter, UK
| | - Tim Frayling
- Medical School, Faculty of Health and Life Sciences, University of Exeter, Exeter, UK
| | - Jonathan Mill
- Medical School, Faculty of Health and Life Sciences, University of Exeter, Exeter, UK
| | - Valerija Dobricic
- Lübeck Interdisciplinary Platform for Genome Analytics (LIGA), University of Lübeck, Lübeck, Germany
| | - Peter Johannsen
- Danish Dementia Research Centre, Rigshospitalet, Copenhagen, Denmark
| | - Michael Wittig
- Institute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel, Kiel, Germany
| | - Andre Franke
- Institute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel, Kiel, Germany
| | | | | | - Yvonne Freund-Levi
- Department of Clinical Science and Education, Södersjukhuset, Karolinska Institutet, Stockholm, Sweden
- School of Medical Sciences, Örebro University, Örebro, Sweden
- Department of Geriatrics, Södertälje Hospital, Södertälje, Sweden
| | - Lutz Frölich
- Department of Geriatric Psychiatry, Central Institute of Mental Health; Medical Faculty Mannheim/Heidelberg University, Mannheim, Germany
| | - Philip Scheltens
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Charlotte E Teunissen
- Neurochemistry Laboratory, Department of Laboratory Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Giovanni Frisoni
- Memory Center, Geneva University and University Hospitals; on behalf of the AMYPAD Consortium, Genève, Switzerland
| | - Olivier Blin
- Aix-Marseille University-CNRS, Marseille, France
| | - Jill C Richardson
- Neuroscience Therapeutic Area, GlaxoSmithKline R&D, Stevenage, Hertfordshire, UK
| | | | - Sebastiaan Engelborghs
- Department of Biomedical Sciences, University of Antwerp, Antwerpen, Belgium
- Neuroprotection & Neuromodulation (NEUR) Research Group, Center for Neurosciences (C4N), Vrije Universiteit Brussel (VUB), Jette, Brussels, Belgium
| | - Ellen de Roeck
- Department of Biomedical Sciences, University of Antwerp, Antwerpen, Belgium
| | - Pablo Martinez-Lage
- Center for Research and Advanced Therapies, CITA-Alzheimer Foundation, Gipuzkoa, Spain
| | - Mikel Tainta
- Center for Research and Advanced Therapies, CITA-Alzheimer Foundation, Gipuzkoa, Spain
| | - Alberto Lleó
- Neurology Department, Centro de Investigación en Red en enfermedades neurodegenerativas (CIBERNED), Hospital Sant Pau, Sant Antoni Maria Claret, Barcelona, Spain
| | - Isabel Sala
- Neurology Department, Centro de Investigación en Red en enfermedades neurodegenerativas (CIBERNED), Hospital Sant Pau, Sant Antoni Maria Claret, Barcelona, Spain
| | - Julius Popp
- University Hospital of Psychiatry Zürich, University of Zürich, Zürich, Switzerland
| | - Gwendoline Peyratout
- Department of Psychiatry, University Hospital of Lausanne (CHUV), Lausanne, Switzerland
| | - Frans Verhey
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience (MHeNs), Faculty of Health, Medicine and Life Sciences (FHML), Maastricht University, Maastricht, The Netherlands
| | - Magda Tsolaki
- 1st Department of Neurology, School of Medicine, `Laboratory of Neurodegenerative Diseases, Center for Interdisciplinary Research and Innovation, Aristotle University of Thessaloniki, and Alzheimer Hellas, Macedonia, Balkan Center, Thessaloniki, Greece
| | - Ulf Andreasson
- Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, The Sahlgrenska Academy at University of Gothenburg, Göteborg, Sweden
| | - Kaj Blennow
- Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, The Sahlgrenska Academy at University of Gothenburg, Göteborg, Sweden
- Clinical Neurochemistry Lab, Sahlgrenska University Hospital, Göteborg, Sweden
- Paris Brain Institute, ICM, Pitié-Salpêtrière Hospital, Sorbonne University, Paris, France
- Neurodegenerative Disorder Research Center, Division of Life Sciences and Medicine, and Department of Neurology, Institute on Aging and Brain Disorders, University of Science and Technology of China and First Affiliated Hospital of USTC, Hefei, P.R. China
| | - Henrik Zetterberg
- Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, The Sahlgrenska Academy at University of Gothenburg, Göteborg, Sweden
- Department of Neurodegenerative Disease, UCL Institute of Neurology, Queen Square, London, UK
- UK Dementia Research Institute at UCL, Maple House, London, UK
- Hong Kong Center for Neurodegenerative Diseases, Clear Water Bay, Shatin, N.T., Hong Kong, China
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Johannes Streffer
- AC Immune SA, formerly Janssen R&D, LLC. Beerse, Belgium at the time of study conduct, Lausanne, Switzerland
| | - Stephanie J B Vos
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience (MHeNs), Faculty of Health, Medicine and Life Sciences (FHML), Maastricht University, Maastricht, The Netherlands
| | - Simon Lovestone
- University of Oxford, Oxford, United Kingdom; Currently at Johnson & Johnson Innovative Medicines, Beerse, Belgium
| | - Pieter-Jelle Visser
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience (MHeNs), Faculty of Health, Medicine and Life Sciences (FHML), Maastricht University, Maastricht, The Netherlands
- Department of Geriatrics, Södertälje Hospital, Södertälje, Sweden
| | - Christina M Lill
- Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany
- Ageing Epidemiology Research Unit, School of Public Health, Imperial College, South Kensington Campus, London, UK
| | - Lars Bertram
- Lübeck Interdisciplinary Platform for Genome Analytics (LIGA), University of Lübeck, Lübeck, Germany
| | - Katie Lunnon
- Medical School, Faculty of Health and Life Sciences, University of Exeter, Exeter, UK
| | - Ehsan Pishva
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience (MHeNs), Faculty of Health, Medicine and Life Sciences (FHML), Maastricht University, Maastricht, The Netherlands
- Medical School, Faculty of Health and Life Sciences, University of Exeter, Exeter, UK
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2
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Ramos-Campoy O, Comas-Albertí A, Hervás D, Borrego-Écija S, Bosch B, Sandoval J, Fort-Aznar L, Moreno-Izco F, Fernández-Villullas G, Molina-Porcel L, Balasa M, Lladó A, Sánchez-Valle R, Antonell A. Genome-Wide DNA Methylation in Early-Onset-Dementia Patients Brain Tissue and Lymphoblastoid Cell Lines. Int J Mol Sci 2024; 25:5445. [PMID: 38791483 PMCID: PMC11121630 DOI: 10.3390/ijms25105445] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2024] [Revised: 05/08/2024] [Accepted: 05/13/2024] [Indexed: 05/26/2024] Open
Abstract
Epigenetics, a potential underlying pathogenic mechanism of neurodegenerative diseases, has been in the scope of several studies performed so far. However, there is a gap in regard to analyzing different forms of early-onset dementia and the use of Lymphoblastoid cell lines (LCLs). We performed a genome-wide DNA methylation analysis on sixty-four samples (from the prefrontal cortex and LCLs) including those taken from patients with early-onset forms of Alzheimer's disease (AD) and frontotemporal dementia (FTD) and healthy controls. A beta regression model and adjusted p-values were used to obtain differentially methylated positions (DMPs) via pairwise comparisons. A correlation analysis of DMP levels with Clariom D array gene expression data from the same cohort was also performed. The results showed hypermethylation as the most frequent finding in both tissues studied in the patient groups. Biological significance analysis revealed common pathways altered in AD and FTD patients, affecting neuron development, metabolism, signal transduction, and immune system pathways. These alterations were also found in LCL samples, suggesting the epigenetic changes might not be limited to the central nervous system. In the brain, CpG methylation presented an inverse correlation with gene expression, while in LCLs, we observed mainly a positive correlation. This study enhances our understanding of the biological pathways that are associated with neurodegeneration, describes differential methylation patterns, and suggests LCLs are a potential cell model for studying neurodegenerative diseases in earlier clinical phases than brain tissue.
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Affiliation(s)
- Oscar Ramos-Campoy
- Alzheimer's Disease and Other Cognitive Disorders Unit, Neurology Service, Hospital Clínic de Barcelona, FRCB-IDIBAPS, Universitat de Barcelona (UB), 08036 Barcelona, Spain
| | - Aina Comas-Albertí
- Alzheimer's Disease and Other Cognitive Disorders Unit, Neurology Service, Hospital Clínic de Barcelona, FRCB-IDIBAPS, Universitat de Barcelona (UB), 08036 Barcelona, Spain
| | - David Hervás
- Department of Applied Statistics and Operations Research and Quality, Universitat Politècnica de València, 46022 Valencia, Spain
| | - Sergi Borrego-Écija
- Alzheimer's Disease and Other Cognitive Disorders Unit, Neurology Service, Hospital Clínic de Barcelona, FRCB-IDIBAPS, Universitat de Barcelona (UB), 08036 Barcelona, Spain
| | - Beatriz Bosch
- Alzheimer's Disease and Other Cognitive Disorders Unit, Neurology Service, Hospital Clínic de Barcelona, FRCB-IDIBAPS, Universitat de Barcelona (UB), 08036 Barcelona, Spain
| | - Juan Sandoval
- Epigenomics Core Facility, Health Research Institute La Fe, 46026 Valencia, Spain
| | - Laura Fort-Aznar
- Alzheimer's Disease and Other Cognitive Disorders Unit, Neurology Service, Hospital Clínic de Barcelona, FRCB-IDIBAPS, Universitat de Barcelona (UB), 08036 Barcelona, Spain
| | - Fermín Moreno-Izco
- Cognitive Disorders Unit, Department of Neurology, Hospital Universitario Donostia, 20014 San Sebastian, Spain
- Instituto de Investigación Sanitaria Biogipuzkoa, Neurosciences Area, Group of Neurodegenerative Diseases, 20014 San Sebastian, Spain
| | - Guadalupe Fernández-Villullas
- Alzheimer's Disease and Other Cognitive Disorders Unit, Neurology Service, Hospital Clínic de Barcelona, FRCB-IDIBAPS, Universitat de Barcelona (UB), 08036 Barcelona, Spain
| | - Laura Molina-Porcel
- Alzheimer's Disease and Other Cognitive Disorders Unit, Neurology Service, Hospital Clínic de Barcelona, FRCB-IDIBAPS, Universitat de Barcelona (UB), 08036 Barcelona, Spain
- Neurological Tissue Bank, Biobank-Hospital Clinic-IDIBAPS, 08036 Barcelona, Spain
| | - Mircea Balasa
- Alzheimer's Disease and Other Cognitive Disorders Unit, Neurology Service, Hospital Clínic de Barcelona, FRCB-IDIBAPS, Universitat de Barcelona (UB), 08036 Barcelona, Spain
| | - Albert Lladó
- Alzheimer's Disease and Other Cognitive Disorders Unit, Neurology Service, Hospital Clínic de Barcelona, FRCB-IDIBAPS, Universitat de Barcelona (UB), 08036 Barcelona, Spain
| | - Raquel Sánchez-Valle
- Alzheimer's Disease and Other Cognitive Disorders Unit, Neurology Service, Hospital Clínic de Barcelona, FRCB-IDIBAPS, Universitat de Barcelona (UB), 08036 Barcelona, Spain
- Facultat de Medicina i Ciències de la Salut, Institut de Neurociències, Universitat de Barcelona (UB), 08036 Barcelona, Spain
| | - Anna Antonell
- Alzheimer's Disease and Other Cognitive Disorders Unit, Neurology Service, Hospital Clínic de Barcelona, FRCB-IDIBAPS, Universitat de Barcelona (UB), 08036 Barcelona, Spain
- Facultat de Medicina i Ciències de la Salut, Institut de Neurociències, Universitat de Barcelona (UB), 08036 Barcelona, Spain
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3
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Giannini LAA, Boers RG, van der Ende EL, Poos JM, Jiskoot LC, Boers JB, van IJcken WFJ, Dopper EG, Pijnenburg YAL, Seelaar H, Meeter LH, van Rooij JGJ, Scheper W, Gribnau J, van Swieten JC. Distinctive cell-free DNA methylation characterizes presymptomatic genetic frontotemporal dementia. Ann Clin Transl Neurol 2024; 11:744-756. [PMID: 38481040 DOI: 10.1002/acn3.51997] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Revised: 12/01/2023] [Accepted: 12/27/2023] [Indexed: 03/27/2024] Open
Abstract
OBJECTIVE Methylation of plasma cell-free DNA (cfDNA) has potential as a marker of brain damage in neurodegenerative diseases such as frontotemporal dementia (FTD). Here, we study methylation of cfDNA in presymptomatic and symptomatic carriers of genetic FTD pathogenic variants, next to healthy controls. METHODS cfDNA was isolated from cross-sectional plasma of 10 presymptomatic carriers (4 C9orf72, 4 GRN, and 2 MAPT), 10 symptomatic carriers (4 C9orf72, 4 GRN, and 2 MAPT), and 9 healthy controls. Genome-wide methylation of cfDNA was determined using a high-resolution sequencing technique (MeD-seq). Cumulative scores based on the identified differentially methylated regions (DMRs) were estimated for presymptomatic carriers (vs. controls and symptomatic carriers), and reevaluated in a validation cohort (8 presymptomatic: 3 C9orf72, 3 GRN, and 2 MAPT; 26 symptomatic: 7 C9orf72, 6 GRN, 12 MAPT, and 1 TARDBP; 13 noncarriers from genetic FTD families). RESULTS Presymptomatic carriers showed a distinctive methylation profile compared to healthy controls and symptomatic carriers. Cumulative DMR scores in presymptomatic carriers enabled to significantly differentiate presymptomatic carriers from healthy controls (p < 0.001) and symptomatic carriers (p < 0.001). In the validation cohort, these scores differentiated presymptomatic carriers from symptomatic carriers (p ≤ 0.007) only. Transcription-start-site methylation in presymptomatic carriers, generally associated with gene downregulation, was enriched for genes involved in ubiquitin-dependent processes, while gene body methylation, generally associated with gene upregulation, was enriched for genes involved in neuronal cell processes. INTERPRETATION A distinctive methylation profile of cfDNA characterizes the presymptomatic stage of genetic FTD, and could reflect neuronal death in this stage.
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Affiliation(s)
- Lucia A A Giannini
- Department of Neurology, Alzheimer Center Erasmus MC, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Ruben G Boers
- Department of Developmental Biology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Emma L van der Ende
- Department of Neurology, Alzheimer Center Erasmus MC, Erasmus University Medical Center, Rotterdam, The Netherlands
- Department of Clinical Chemistry, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands
| | - Jackie M Poos
- Department of Neurology, Alzheimer Center Erasmus MC, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Lize C Jiskoot
- Department of Neurology, Alzheimer Center Erasmus MC, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Joachim B Boers
- Department of Developmental Biology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Wilfred F J van IJcken
- Erasmus Center for Biomics, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Elise G Dopper
- Department of Neurology, Alzheimer Center Erasmus MC, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Yolande A L Pijnenburg
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit, Amsterdam UMC location Vumc, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
| | - Harro Seelaar
- Department of Neurology, Alzheimer Center Erasmus MC, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Lieke H Meeter
- Department of Neurology, Alzheimer Center Erasmus MC, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Jeroen G J van Rooij
- Department of Neurology, Alzheimer Center Erasmus MC, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Wiep Scheper
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
- Department of Functional Genomics, Center for Neurogenomics and Cognitive Research, Faculty of Science, Vrije Universiteit, Amsterdam, The Netherlands
- Department of Human Genetics, Vrije Universiteit, Amsterdam UMC location Vumc, Amsterdam, The Netherlands
| | - Joost Gribnau
- Department of Developmental Biology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - John C van Swieten
- Department of Neurology, Alzheimer Center Erasmus MC, Erasmus University Medical Center, Rotterdam, The Netherlands
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Wagner A, Schosserer M. The epitranscriptome in ageing and stress resistance: A systematic review. Ageing Res Rev 2022; 81:101700. [PMID: 35908668 DOI: 10.1016/j.arr.2022.101700] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Revised: 07/15/2022] [Accepted: 07/25/2022] [Indexed: 01/31/2023]
Abstract
Modifications of RNA, collectively called the "epitranscriptome", might provide novel biomarkers and innovative targets for interventions in geroscience but are just beginning to be studied in the context of ageing and stress resistance. RNA modifications modulate gene expression by affecting translation initiation and speed, miRNA binding, RNA stability, and RNA degradation. Nonetheless, the precise underlying molecular mechanisms and physiological consequences of most alterations of the epitranscriptome are still only poorly understood. We here systematically review different types of modifications of rRNA, tRNA and mRNA, the methodology to analyze them, current challenges in the field, and human disease associations. Furthermore, we compiled evidence for a connection between individual enzymes, which install RNA modifications, and lifespan in yeast, worm and fly. We also included resistance to different stressors and competitive fitness as search criteria for genes potentially relevant to ageing. Promising candidates identified by this approach include RCM1/NSUN5, RRP8, and F33A8.4/ZCCHC4 that introduce base methylations in rRNA, the methyltransferases DNMT2 and TRM9/ALKBH8, as well as factors involved in the thiolation or A to I editing in tRNA, and finally the m6A machinery for mRNA.
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Affiliation(s)
- Anja Wagner
- Institute of Molecular Biotechnology, University of Natural Resources and Life Sciences, Vienna, Austria
| | - Markus Schosserer
- Institute of Molecular Biotechnology, University of Natural Resources and Life Sciences, Vienna, Austria; Institute of Medical Genetics, Center for Pathobiochemistry and Genetics, Medical University of Vienna, Vienna, Austria; Austrian Cluster for Tissue Regeneration, Vienna, Austria.
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Epigenetic Changes in Prion and Prion-like Neurodegenerative Diseases: Recent Advances, Potential as Biomarkers, and Future Perspectives. Int J Mol Sci 2022; 23:ijms232012609. [PMID: 36293477 PMCID: PMC9604074 DOI: 10.3390/ijms232012609] [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: 09/06/2022] [Revised: 10/09/2022] [Accepted: 10/18/2022] [Indexed: 12/01/2022] Open
Abstract
Prion diseases are transmissible spongiform encephalopathies (TSEs) caused by a conformational conversion of the native cellular prion protein (PrPC) to an abnormal, infectious isoform called PrPSc. Amyotrophic lateral sclerosis, Alzheimer’s, Parkinson’s, and Huntington’s diseases are also known as prion-like diseases because they share common features with prion diseases, including protein misfolding and aggregation, as well as the spread of these misfolded proteins into different brain regions. Increasing evidence proposes the involvement of epigenetic mechanisms, namely DNA methylation, post-translational modifications of histones, and microRNA-mediated post-transcriptional gene regulation in the pathogenesis of prion-like diseases. Little is known about the role of epigenetic modifications in prion diseases, but recent findings also point to a potential regulatory role of epigenetic mechanisms in the pathology of these diseases. This review highlights recent findings on epigenetic modifications in TSEs and prion-like diseases and discusses the potential role of such mechanisms in disease pathology and their use as potential biomarkers.
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Chen H, Lundberg SM, Lee SI. Explaining a series of models by propagating Shapley values. Nat Commun 2022; 13:4512. [PMID: 35922410 PMCID: PMC9349278 DOI: 10.1038/s41467-022-31384-3] [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: 10/04/2021] [Accepted: 06/15/2022] [Indexed: 11/08/2022] Open
Abstract
Local feature attribution methods are increasingly used to explain complex machine learning models. However, current methods are limited because they are extremely expensive to compute or are not capable of explaining a distributed series of models where each model is owned by a separate institution. The latter is particularly important because it often arises in finance where explanations are mandated. Here, we present Generalized DeepSHAP (G-DeepSHAP), a tractable method to propagate local feature attributions through complex series of models based on a connection to the Shapley value. We evaluate G-DeepSHAP across biological, health, and financial datasets to show that it provides equally salient explanations an order of magnitude faster than existing model-agnostic attribution techniques and demonstrate its use in an important distributed series of models setting.
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Affiliation(s)
- Hugh Chen
- Paul G. Allen School of Computer Science and Engineering, University of Washington, Seattle, USA
| | | | - Su-In Lee
- Paul G. Allen School of Computer Science and Engineering, University of Washington, Seattle, USA.
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7
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Miedema SSM, Mol MO, Koopmans FTW, Hondius DC, van Nierop P, Menden K, de Veij Mestdagh CF, van Rooij J, Ganz AB, Paliukhovich I, Melhem S, Li KW, Holstege H, Rizzu P, van Kesteren RE, van Swieten JC, Heutink P, Smit AB. Distinct cell type-specific protein signatures in GRN and MAPT genetic subtypes of frontotemporal dementia. Acta Neuropathol Commun 2022; 10:100. [PMID: 35799292 PMCID: PMC9261008 DOI: 10.1186/s40478-022-01387-8] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Accepted: 05/22/2022] [Indexed: 11/16/2022] Open
Abstract
Frontotemporal dementia is characterized by progressive atrophy of frontal and/or temporal cortices at an early age of onset. The disorder shows considerable clinical, pathological, and genetic heterogeneity. Here we investigated the proteomic signatures of frontal and temporal cortex from brains with frontotemporal dementia due to GRN and MAPT mutations to identify the key cell types and molecular pathways in their pathophysiology. We compared patients with mutations in the GRN gene (n = 9) or with mutations in the MAPT gene (n = 13) with non-demented controls (n = 11). Using quantitative proteomic analysis on laser-dissected tissues we identified brain region-specific protein signatures for both genetic subtypes. Using published single cell RNA expression data resources we deduced the involvement of major brain cell types in driving these different protein signatures. Subsequent gene ontology analysis identified distinct genetic subtype- and cell type-specific biological processes. For the GRN subtype, we observed a distinct role for immune processes related to endothelial cells and for mitochondrial dysregulation in neurons. For the MAPT subtype, we observed distinct involvement of dysregulated RNA processing, oligodendrocyte dysfunction, and axonal impairments. Comparison with an in-house protein signature of Alzheimer’s disease brains indicated that the observed alterations in RNA processing and oligodendrocyte function are distinct for the frontotemporal dementia MAPT subtype. Taken together, our results indicate the involvement of different brain cell types and biological mechanisms in genetic subtypes of frontotemporal dementia. Furthermore, we demonstrate that comparison of proteomic profiles of different disease entities can separate general neurodegenerative processes from disease-specific pathways, which may aid the development of disease subtype-specific treatment strategies.
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Affiliation(s)
- Suzanne S M Miedema
- Department of Molecular and Cellular Neurobiology, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, W&N Building, C314. De Boelelaan 1105, 1081 HV, Amsterdam, The Netherlands.
| | - Merel O Mol
- Department of Neurology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Frank T W Koopmans
- Department of Molecular and Cellular Neurobiology, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, W&N Building, C314. De Boelelaan 1105, 1081 HV, Amsterdam, The Netherlands
| | - David C Hondius
- Department of Molecular and Cellular Neurobiology, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, W&N Building, C314. De Boelelaan 1105, 1081 HV, Amsterdam, The Netherlands
| | - Pim van Nierop
- Department of Molecular and Cellular Neurobiology, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, W&N Building, C314. De Boelelaan 1105, 1081 HV, Amsterdam, The Netherlands
| | - Kevin Menden
- German Center for Neurodegenerative Diseases (DZNE)-Tübingen, Tübingen, Germany
| | - Christina F de Veij Mestdagh
- Department of Molecular and Cellular Neurobiology, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, W&N Building, C314. De Boelelaan 1105, 1081 HV, Amsterdam, The Netherlands.,Department of Clinical Pharmacy and Pharmacology, University Medical Center Groningen, Groningen, the Netherlands.,Alzheimer Center, Department of Neurology, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, The Netherlands
| | - Jeroen van Rooij
- Department of Neurology, Erasmus Medical Center, Rotterdam, The Netherlands.,Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Andrea B Ganz
- Department of Molecular and Cellular Neurobiology, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, W&N Building, C314. De Boelelaan 1105, 1081 HV, Amsterdam, The Netherlands.,Alzheimer Center, Department of Neurology, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, The Netherlands
| | - Iryna Paliukhovich
- Department of Molecular and Cellular Neurobiology, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, W&N Building, C314. De Boelelaan 1105, 1081 HV, Amsterdam, The Netherlands
| | - Shamiram Melhem
- Department of Neurology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Ka Wan Li
- Department of Molecular and Cellular Neurobiology, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, W&N Building, C314. De Boelelaan 1105, 1081 HV, Amsterdam, The Netherlands
| | - Henne Holstege
- Alzheimer Center, Department of Neurology, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, The Netherlands.,Department of Clinical Genetics, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, The Netherlands
| | - Patrizia Rizzu
- German Center for Neurodegenerative Diseases (DZNE)-Tübingen, Tübingen, Germany
| | - Ronald E van Kesteren
- Department of Molecular and Cellular Neurobiology, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, W&N Building, C314. De Boelelaan 1105, 1081 HV, Amsterdam, The Netherlands
| | - John C van Swieten
- Department of Neurology, Erasmus Medical Center, Rotterdam, The Netherlands.,Department of Clinical Genetics, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Peter Heutink
- German Center for Neurodegenerative Diseases (DZNE)-Tübingen, Tübingen, Germany
| | - August B Smit
- Department of Molecular and Cellular Neurobiology, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, W&N Building, C314. De Boelelaan 1105, 1081 HV, Amsterdam, The Netherlands
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Kirola L, Mukherjee A, Mutsuddi M. Recent Updates on the Genetics of Amyotrophic Lateral Sclerosis and Frontotemporal Dementia. Mol Neurobiol 2022; 59:5673-5694. [PMID: 35768750 DOI: 10.1007/s12035-022-02934-z] [Citation(s) in RCA: 27] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Accepted: 06/16/2022] [Indexed: 10/17/2022]
Abstract
Amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD) primarily affect the motor and frontotemporal areas of the brain, respectively. These disorders share clinical, genetic, and pathological similarities, and approximately 10-15% of ALS-FTD cases are considered to be multisystemic. ALS-FTD overlaps have been linked to families carrying an expansion in the intron of C9orf72 along with inclusions of TDP-43 in the brain. Other overlapping genes (VCP, FUS, SQSTM1, TBK1, CHCHD10) are also involved in similar functions that include RNA processing, autophagy, proteasome response, protein aggregation, and intracellular trafficking. Recent advances in genome sequencing have identified new genes that are involved in these disorders (TBK1, CCNF, GLT8D1, KIF5A, NEK1, C21orf2, TBP, CTSF, MFSD8, DNAJC7). Additional risk factors and modifiers have been also identified in genome-wide association studies and array-based studies. However, the newly identified genes show higher disease frequencies in combination with known genes that are implicated in pathogenesis, thus indicating probable digenetic/polygenic inheritance models, along with epistatic interactions. Studies suggest that these genes play a pleiotropic effect on ALS-FTD and other diseases such as Alzheimer's disease, Ataxia, and Parkinsonism. Besides, there have been numerous improvements in the genotype-phenotype correlations as well as clinical trials on stem cell and gene-based therapies. This review discusses the possible genetic models of ALS and FTD, the latest therapeutics, and signaling pathways involved in ALS-FTD.
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Affiliation(s)
- Laxmi Kirola
- Department of Molecular and Human Genetics, Institute of Science, Banaras Hindu University, Varanasi, Uttar Pradesh, India
| | - Ashim Mukherjee
- Department of Molecular and Human Genetics, Institute of Science, Banaras Hindu University, Varanasi, Uttar Pradesh, India
| | - Mousumi Mutsuddi
- Department of Molecular and Human Genetics, Institute of Science, Banaras Hindu University, Varanasi, Uttar Pradesh, India.
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9
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Espina JEC, Bagamasbad PD. Synergistic gene regulation by thyroid hormone and glucocorticoid in the hippocampus. VITAMINS AND HORMONES 2021; 118:35-81. [PMID: 35180933 DOI: 10.1016/bs.vh.2021.11.001] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
The hippocampus is considered the center for learning and memory in the brain, and its development and function is greatly affected by the thyroid and stress axes. Thyroid hormone (TH) and glucocorticoids (GC) are known to have a synergistic effect on developmental programs across several vertebrate species, and their effects on hippocampal structure and function are well-documented. However, there are few studies that focus on the processes and genes that are cooperatively regulated by the two hormone axes. Cross-regulation of the thyroid and stress axes in the hippocampus occurs on multiple levels such that TH can regulate the expression of the GC receptor (GR) while GC can modulate tissue sensitivity to TH by controlling the expression of TH receptor (TR) and enzymes involved in TH biosynthesis. Thyroid hormone and GC are also known to synergistically regulate the transcription of genes associated with neuronal function and development. Synergistic gene regulation by TH and GC may occur through the direct, cooperative action of TR and GR on common target genes, or by indirect mechanisms involving gene regulatory cascades activated by TR and GR. In this chapter, we describe the known physiological effects and underlying molecular mechanisms of TH and GC synergistic gene regulation in the hippocampus.
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Affiliation(s)
- Jose Ezekiel C Espina
- National Institute of Molecular Biology and Biotechnology, University of the Philippines Diliman, Quezon City, Philippines
| | - Pia D Bagamasbad
- National Institute of Molecular Biology and Biotechnology, University of the Philippines Diliman, Quezon City, Philippines.
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10
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Wang N, Han X, Yang H, Xia D, Fan Z. miR-6807-5p Inhibited the Odontogenic Differentiation of Human Dental Pulp Stem Cells Through Directly Targeting METTL7A. Front Cell Dev Biol 2021; 9:759192. [PMID: 34790668 PMCID: PMC8591228 DOI: 10.3389/fcell.2021.759192] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2021] [Accepted: 09/30/2021] [Indexed: 12/15/2022] Open
Abstract
Background: Tooth tissue regeneration mediated by mesenchymal stem cells (MSCs) has become the most ideal treatment. Although the known regulatory mechanism and some achievements have been discovered, directional differentiation cannot effectively induce regeneration of tooth tissue. In this study, we intended to explore the function and mechanism of miR-6807-5p and its target gene METTL7A in odontogenic differentiation. Methods: In this study, human dental pulp stem cells (DPSCs) were used. Alkaline phosphatase (ALP), Alizarin red staining (ARS), and calcium ion quantification were used to detect the odontogenic differentiation of miR-6807-5p and METTL7A. Real-time RT-PCR, western blot, dual-luciferase reporter assay, and pull-down assay with biotinylated miRNA were used to confirm that METTL7A was the downstream gene of miR-6807-5p. Protein mass spectrometry and co-immunoprecipitation (Co-IP) were used to detect that SNRNP200 was the co-binding protein of METTL7A. Results: After mineralized induction, the odontogenic differentiation was enhanced in the miR-6807-5p-knockdown group and weakened in the miR-6807-5p-overexpressed group compared with the control group. METTL7A was the downstream target of miR-6807-5p. After mineralized induction, the odontogenic differentiation was weakened in the METTL7A-knockdown group and enhanced in the METTL7A-overexpressed group compared with the control group. SNRNP200 was the co-binding protein of METTL7A. The knockdown of SNRNP200 inhibited the odontogenic differentiation of DPSCs. Conclusion: This study verified that miR-6807-5p inhibited the odontogenic differentiation of DPSCs. The binding site of miR-6807-5p was the 3′UTR region of METTL7A, which was silenced by miR-6807-5p. METTL7A promoted the odontogenic differentiation of DPSCs. SNRNP200, a co-binding protein of METTL7A, promoted the odontogenic differentiation of DPSCs.
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Affiliation(s)
- Ning Wang
- Laboratory of Molecular Signaling and Stem Cells Therapy, Beijing Key Laboratory of Tooth Regeneration and Function Reconstruction, Capital Medical University School of Stomatology, Beijing, China
| | - Xiao Han
- Laboratory of Molecular Signaling and Stem Cells Therapy, Beijing Key Laboratory of Tooth Regeneration and Function Reconstruction, Capital Medical University School of Stomatology, Beijing, China
| | - Haoqing Yang
- Laboratory of Molecular Signaling and Stem Cells Therapy, Beijing Key Laboratory of Tooth Regeneration and Function Reconstruction, Capital Medical University School of Stomatology, Beijing, China
| | - Dengsheng Xia
- Department of General Dentistry and Integrated Emergency Dental Care, Capital Medical University School of Stomatology, Beijing, China
| | - Zhipeng Fan
- Laboratory of Molecular Signaling and Stem Cells Therapy, Beijing Key Laboratory of Tooth Regeneration and Function Reconstruction, Capital Medical University School of Stomatology, Beijing, China.,Research Unit of Tooth Development and Regeneration, Chinese Academy of Medical Sciences, Beijing, China
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11
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Hartnell IJ, Blum D, Nicoll JAR, Dorothee G, Boche D. Glial cells and adaptive immunity in frontotemporal dementia with tau pathology. Brain 2021; 144:724-745. [PMID: 33527991 DOI: 10.1093/brain/awaa457] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2020] [Revised: 10/06/2020] [Accepted: 10/17/2020] [Indexed: 12/12/2022] Open
Abstract
Neuroinflammation is involved in the aetiology of many neurodegenerative disorders including Alzheimer's disease, Parkinson's disease and motor neuron disease. Whether neuroinflammation also plays an important role in the pathophysiology of frontotemporal dementia is less well known. Frontotemporal dementia is a heterogeneous classification that covers many subtypes, with the main pathology known as frontotemporal lobar degeneration. The disease can be categorized with respect to the identity of the protein that causes the frontotemporal lobar degeneration in the brain. The most common subgroup describes diseases caused by frontotemporal lobar degeneration associated with tau aggregation, also known as primary tauopathies. Evidence suggests that neuroinflammation may play a role in primary tauopathies with genome-wide association studies finding enrichment of genetic variants associated with specific inflammation-related gene loci. These loci are related to both the innate immune system, including brain resident microglia, and the adaptive immune system through possible peripheral T-cell involvement. This review discusses the genetic evidence and relates it to findings in animal models expressing pathogenic tau as well as to post-mortem and PET studies in human disease. Across experimental paradigms, there seems to be a consensus regarding the involvement of innate immunity in primary tauopathies, with increased microglia and astrocyte density and/or activation, as well as increases in pro-inflammatory markers. Whilst it is less clear as to whether inflammation precedes tau aggregation or vice versa; there is strong evidence to support a microglial contribution to the propagation of hyperphosphorylated in tau frontotemporal lobar degeneration associated with tau aggregation. Experimental evidence-albeit limited-also corroborates genetic data pointing to the involvement of cellular adaptive immunity in primary tauopathies. However, it is still unclear whether brain recruitment of peripheral immune cells is an aberrant result of pathological changes or a physiological aspect of the neuroinflammatory response to the tau pathology.
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Affiliation(s)
- Iain J Hartnell
- Clinical Neurosciences, Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
| | - David Blum
- University of Lille, Inserm, CHU-Lille, UMR-S 1172-Lille Neuroscience and Cognition, Lille, France.,Alzheimer & Tauopathies, LabEx DISTALZ, France
| | - James A R Nicoll
- Clinical Neurosciences, Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK.,Department of Cellular Pathology, University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Guillaume Dorothee
- Inserm, Sorbonne University, UMRS 938 Saint-Antoine Research Center, Immune System and Neuroinflammation Laboratory, Hôpital Saint-Antoine, Paris, France
| | - Delphine Boche
- Clinical Neurosciences, Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
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12
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Andrew AS, Pioro EP, Li M, Shi X, Gui J, Stommel EW, Butt TH, Peipert D, Henegan P, Tischbein M, Cazzolli P, Novak J, Quick A, Pugar KD, Sawlani K, Katirji B, Hayes TA, Horton DK, Mehta P, Bradley WG. The Incidence of Amyotrophic Lateral Sclerosis in Ohio 2016-2018: The Ohio Population-Based ALS Registry. Neuroepidemiology 2021; 55:196-205. [PMID: 33902051 DOI: 10.1159/000515103] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2020] [Accepted: 02/05/2021] [Indexed: 12/31/2022] Open
Abstract
INTRODUCTION Amyotrophic lateral sclerosis (ALS) is a fatal, neuromuscular disease with no cure. ALS incidence rates have not been assessed specifically in Ohio, yet the state contains both metropolitan and rural areas with a variety of environmental factors that could contribute to disease etiology. We report the incidence of ALS in Ohio residents diagnosed from October 2016 through September 2018. METHODS We engaged practitioners from 9 Ohio sites to identify newly diagnosed ALS patients and to complete case report forms with demographic and clinical information. ALS was diagnosed according to the Awaji criteria and classified as either definite, probable, or possible. We developed a method to estimate missing cases using a Poisson regression model to impute cases in counties with evidence of undercounting. RESULTS We identified 333 newly diagnosed ALS patients residing in Ohio during the 2-year index period and found incidence rates varied in the 88 state counties. After incorporating the estimated 27% of missing cases, the corrected crude annual incidence was 1.96/100,000 person-years, and the age- and gender-standardized incidence was 1.71/100,000 person-years (standardized to the 2010 US census). DISCUSSION/CONCLUSION The estimated Ohio incidence of ALS is overall similar to that reported in other states in the USA. This study reveals a geospatial variation in incidence within the state, and areas with higher rates warrant future investigation.
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Affiliation(s)
- Angeline S Andrew
- Department of Neurology, Geisel School of Medicine, Dartmouth-Hitchcock Medical Center, Lebanon, New Hampshire, USA
| | - Erik P Pioro
- Section of ALS and Related Disorders, Cleveland Clinic, Cleveland, Ohio, USA
| | - Meifang Li
- Department of Geography, Dartmouth College, Hanover, New Hampshire, USA
| | - Xun Shi
- Department of Geography, Dartmouth College, Hanover, New Hampshire, USA
| | - Jiang Gui
- Department of Biomedical Data Science, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire, USA
| | - Elijah W Stommel
- Department of Neurology, Geisel School of Medicine, Dartmouth-Hitchcock Medical Center, Lebanon, New Hampshire, USA
| | - Tanya H Butt
- Department of Neurology, Geisel School of Medicine, Dartmouth-Hitchcock Medical Center, Lebanon, New Hampshire, USA
| | - Daniel Peipert
- Department of Neurology, Geisel School of Medicine, Dartmouth-Hitchcock Medical Center, Lebanon, New Hampshire, USA
| | - Patricia Henegan
- Department of Neurology, Geisel School of Medicine, Dartmouth-Hitchcock Medical Center, Lebanon, New Hampshire, USA
| | - Maeve Tischbein
- Department of Neurology, Geisel School of Medicine, Dartmouth-Hitchcock Medical Center, Lebanon, New Hampshire, USA
| | | | - John Novak
- Ohio Health Physician Group, Westerville, Ohio, USA
| | - Adam Quick
- Department of Neurology, Ohio State University Wexner Medical Center, Columbus, Ohio, USA
| | - K Doug Pugar
- Dayton Center for Neurological Disorders, Dayton, Ohio, USA
| | - Komal Sawlani
- Department of Neurology, University Hospital Cleveland Medical Center, Cleveland, Ohio, USA
| | - Bashar Katirji
- Department of Neurology, University Hospital Cleveland Medical Center, Cleveland, Ohio, USA
| | | | - D Kevin Horton
- Centers for Disease Control and Prevention (CDC), Agency for Toxic Substances and Disease Registry (ATSDR), Atlanta, Georgia, USA
| | - Paul Mehta
- Centers for Disease Control and Prevention (CDC), Agency for Toxic Substances and Disease Registry (ATSDR), Atlanta, Georgia, USA
| | - Walter G Bradley
- Department of Neurology, Miller School of Medicine, University of Miami, Miami, Florida, USA
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13
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The Role of White Matter Dysfunction and Leukoencephalopathy/Leukodystrophy Genes in the Aetiology of Frontotemporal Dementias: Implications for Novel Approaches to Therapeutics. Int J Mol Sci 2021; 22:ijms22052541. [PMID: 33802612 PMCID: PMC7961524 DOI: 10.3390/ijms22052541] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2021] [Revised: 02/22/2021] [Accepted: 03/01/2021] [Indexed: 01/01/2023] Open
Abstract
Frontotemporal dementia (FTD) is a common cause of presenile dementia and is characterized by behavioural and/or language changes and progressive cognitive deficits. Genetics is an important component in the aetiology of FTD, with positive family history of dementia reported for 40% of cases. This review synthesizes current knowledge of the known major FTD genes, including C9orf72 (chromosome 9 open reading frame 72), MAPT (microtubule-associated protein tau) and GRN (granulin), and their impact on neuronal and glial pathology. Further, evidence for white matter dysfunction in the aetiology of FTD and the clinical, neuroimaging and genetic overlap between FTD and leukodystrophy/leukoencephalopathy are discussed. The review highlights the role of common variants and mutations in genes such as CSF1R (colony-stimulating factor 1 receptor), CYP27A1 (cytochrome P450 family 27 subfamily A member 1), TREM2 (triggering receptor expressed on myeloid cells 2) and TMEM106B (transmembrane protein 106B) that play an integral role in microglia and oligodendrocyte function. Finally, pharmacological and non-pharmacological approaches for enhancing remyelination are discussed in terms of future treatments of FTD.
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Abstract
PURPOSE OF REVIEW Frontotemporal dementia (FTD) is a rare dementia, that accounts for about 15% of all dementia cases. Despite consensus diagnostic criteria, FTD remains difficult to diagnose in life because of its complex and variable clinical phenomenology and heterogeneous disorders. This review provides an update on the current knowledge of the main FTD syndromes -- the behavioural variant, semantic variant, and nonfluent/agrammatic variant-- their brain abnormalities and genetic profiles. RECENT FINDINGS The complexity of the clinical features in FTD has become increasingly apparent, particularly in the domain of behaviour. Such behaviour changes are now also being recognized in the language variants of FTD. Initial interest on emotion processing and social cognition is now complemented by studies on other behavioural disturbance, that spans gambling, antisocial behaviours, repetitive behaviours, and apathy. At a biological level, novel pathological subcategories continue to be identified. From a genetic viewpoint, abnormalities in three genes explain nearly three quarters of familial cases of FTD. SUMMARY In the absence of effective drug treatments, novel approaches are needed to target some of the most disabling features of FTD, such as language loss or behaviour disturbance. Recent interventions appear promising but will require confirmation.
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15
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Li D, Zeng Y, Shen P, Lin X, Yang T, Chen B, Ma Z, Wang H. AVL9 is Upregulated in and Could Be a Predictive Biomarker for Colorectal Cancer. Cancer Manag Res 2021; 13:3123-3132. [PMID: 33859498 PMCID: PMC8043788 DOI: 10.2147/cmar.s301844] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2021] [Accepted: 03/22/2021] [Indexed: 02/05/2023] Open
Abstract
PURPOSE This study aimed to explore the function and clinical significance of AVL9 in colorectal cancer (CRC). MATERIALS AND METHODS The GEO, TCGA, and GEPIA databases were searched to evaluate the expression level of AVL9, while the SurvExpress online tool was used to explore its related clinical survival prognosis. The cBioPortal and LinkedOmics databases were used to identify AVL9 expression-related genes. Protein-protein interaction (PPI) networks were analyzed using Cytoscape 3.7.1 and DAVID6.8, which was used to perform Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genome (KEGG) signal pathway enrichment. The immunohistochemistry of AVL9 in CRC was detected using an online tool protein atlas. RNA isolation and reverse transcription-quantitative polymerase chain reaction (RT-qPCR) assays were used to detect AVL9 expression in tissue and plasma samples. RESULTS Our study confirmed that AVL9 was highly expressed in CRC lesions versus the adjacent normal tissues (P < 0.001). High AVL9 expression was negatively associated with survival outcomes (P < 0.05). GO analysis showed that AVL9 expression-related genes were enriched in single organismal cell-cell adhesion, post-transcriptional regulation of gene expression, and negative regulation of the vascular endothelial growth factor receptor signaling pathway (P < 0.05). On a KEGG pathway analysis, these genes were mainly involved in progesterone-mediated oocyte maturation, axon guidance, the insulin signaling pathway, and the ubiquitin-mediated proteolysis signaling pathways (P < 0.05). In the PPI analysis, the KBTBD2, KIAA1147, EPDR1, and RNF216 genes interacted with AVL9, and GEPIA predicted that their expression levels were all positively correlated with AVL9. Furthermore, a clinicopathological parameter analysis found that high AVL9 expression was positively correlated with differentiation and TNM stage. RT-qPCR analysis further showed that plasma AVL9 expression was upregulated in CRC patients versus healthy controls. CONCLUSION AVL9 could serve as a potential biomarker and therapeutic target for CRC.
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Affiliation(s)
- Danfeng Li
- Department of Gastrointestinal Surgery, The First Affiliated Hospital of Shantou University Medical College, Shantou, 515041, People’s Republic of China
| | - Yongming Zeng
- Department of Gastrointestinal Surgery, The First Affiliated Hospital of Shantou University Medical College, Shantou, 515041, People’s Republic of China
| | - Peilin Shen
- Department of Urology, The First Affiliated Hospital of Shantou University Medical College, Shantou, 515041, People’s Republic of China
| | - Xiaosheng Lin
- Department of Gastrointestinal Surgery, The First Affiliated Hospital of Shantou University Medical College, Shantou, 515041, People’s Republic of China
| | - Tian Yang
- Department of Gastrointestinal Surgery, The First Affiliated Hospital of Shantou University Medical College, Shantou, 515041, People’s Republic of China
| | - Binlie Chen
- Department of Gastrointestinal Surgery, The First Affiliated Hospital of Shantou University Medical College, Shantou, 515041, People’s Republic of China
- Medical College, Shantou University, Shantou, Guangdong, People’s Republic of China
| | - Zhiyan Ma
- Department of Gastrointestinal Surgery, The First Affiliated Hospital of Shantou University Medical College, Shantou, 515041, People’s Republic of China
- Medical College, Shantou University, Shantou, Guangdong, People’s Republic of China
| | - Huaiming Wang
- Department of Gastrointestinal Surgery, The First Affiliated Hospital of Shantou University Medical College, Shantou, 515041, People’s Republic of China
- Correspondence: Huaiming Wang Department of Gastrointestinal Surgery, The First Affiliated Hospital of Shantou University Medical College Email
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16
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Proteomics analysis of FUS mutant human motoneurons reveals altered regulation of cytoskeleton and other ALS-linked proteins via 3'UTR binding. Sci Rep 2020; 10:11827. [PMID: 32678235 PMCID: PMC7366621 DOI: 10.1038/s41598-020-68794-6] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2020] [Accepted: 07/02/2020] [Indexed: 12/12/2022] Open
Abstract
Increasing evidence suggests that in Amyotrophic Lateral Sclerosis (ALS) mutated RNA binding proteins acquire aberrant functions, leading to altered RNA metabolism with significant impact on encoded protein levels. Here, by taking advantage of a human induced pluripotent stem cell-based model, we aimed to gain insights on the impact of ALS mutant FUS on the motoneuron proteome. Label-free proteomics analysis by mass-spectrometry revealed upregulation of proteins involved in catabolic processes and oxidation–reduction, and downregulation of cytoskeletal proteins and factors directing neuron projection. Mechanistically, proteome alteration does not correlate with transcriptome changes. Rather, we observed a strong correlation with selective binding of mutant FUS to target mRNAs in their 3′UTR. Novel validated targets, selectively bound by mutant FUS, include genes previously involved in familial or sporadic ALS, such as VCP, and regulators of membrane trafficking and cytoskeleton remodeling, such as ASAP1. These findings unveil a novel mechanism by which mutant FUS might intersect other pathogenic pathways in ALS patients’ motoneurons.
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17
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Picalm reduction exacerbates tau pathology in a murine tauopathy model. Acta Neuropathol 2020; 139:773-789. [PMID: 31925534 DOI: 10.1007/s00401-020-02125-x] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2019] [Revised: 12/13/2019] [Accepted: 01/01/2020] [Indexed: 12/15/2022]
Abstract
Genome-wide association studies (GWAS) have identified PICALM as one of the most significant susceptibility loci for late-onset Alzheimer's disease (AD) after APOE and BIN1. PICALM is a clathrin-adaptor protein and plays critical roles in clathrin-mediated endocytosis and in autophagy. PICALM modulates brain amyloid ß (Aß) pathology and tau accumulation. We have previously reported that soluble PICALM protein level is reduced in correlation with abnormalities of autophagy markers in the affected brain areas of neurodegenerative diseases including AD, sporadic tauopathies and familial cases of frontotemporal lobar degeneration with tau-immunoreactive inclusions (FTLD-tau) with mutations in the microtubule-associated protein tau (MAPT) gene. It remains unclarified whether in vivo PICALM reduction could either trigger or influence tau pathology progression in the brain. In this study, we confirmed a significant reduction of soluble PICALM protein and autophagy deficits in the post-mortem human brains of FTLD-tau-MAPT (P301L, S364S and L266V). We generated a novel transgenic mouse line named Tg30xPicalm+/- by crossing Tg30 tau transgenic mice with Picalm-haploinsufficient mice to test whether Picalm reduction may modulate tau pathology. While Picalm haploinsufficiency did not lead to any motor phenotype or detectable tau pathology in mouse brains, Tg30xPicalm+/- mice developed markedly more severe motor deficits than Tg30 by the age of 9 months. Tg30xPicalm+/- had significantly higher pathological tau levels in the brain, an increased density of neurofibrillary tangles compared to Tg30 mice and increased abnormalities of autophagy markers. Our results demonstrate that Picalm haploinsufficiency in transgenic Tg30 mice significantly aggravated tau pathologies and tau-mediated neurodegeneration, supporting a role for changes in Picalm expression as a risk/sensitizing factor for development of tau pathology and as a mechanism underlying the AD risk associated to PICALM.
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Marziali F, Dizanzo MP, Cavatorta AL, Gardiol D. Differential expression of DLG1 as a common trait in different human diseases: an encouraging issue in molecular pathology. Biol Chem 2020; 400:699-710. [PMID: 30517074 DOI: 10.1515/hsz-2018-0350] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2018] [Accepted: 11/19/2018] [Indexed: 12/12/2022]
Abstract
Human disc large (DLG1) is a scaffolding protein that through the interaction with diverse cell partners participates in the control of key cellular processes such as polarity, proliferation and migration. Experimental data have mainly identified DLG1 as a tumor suppressor. An outstanding point for DLG1 protein is that altered DLG1 expression and DLG1 gene mutations were observed in different pathologies, including cancer and neurological and immunological disorders. Evident changes in DLG1 abundance and/or cell localization were identified in a number of studies suggesting its participation in molecular mechanisms responsible for the development of such illnesses. In this review, we focus on some of the latest findings regarding DLG1 alterations in different diseases as well as its potential use as a biomarker for pathological progression. We further address the current knowledge on the molecular mechanisms regulating DLG1 expression and the posttranslational modifications that may affect DLG1 cell localization and functions. Despite the advances in this field, there are still open questions about the precise molecular link between alterations in DLG1 expression and the development of each specific pathology. The complete understanding of this concern will give us new scenarios for the design of promising diagnosis and therapeutic tools.
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Affiliation(s)
- Federico Marziali
- Instituto de Biología Molecular y Celular de Rosario-CONICET, Facultad de Ciencias Bioquímicas y Farmacéuticas, Universidad Nacional de Rosario, Suipacha 531, 2000 Rosario, Argentina
| | - María Paula Dizanzo
- Instituto de Biología Molecular y Celular de Rosario-CONICET, Facultad de Ciencias Bioquímicas y Farmacéuticas, Universidad Nacional de Rosario, Suipacha 531, 2000 Rosario, Argentina
| | - Ana Laura Cavatorta
- Instituto de Biología Molecular y Celular de Rosario-CONICET, Facultad de Ciencias Bioquímicas y Farmacéuticas, Universidad Nacional de Rosario, Suipacha 531, 2000 Rosario, Argentina
| | - Daniela Gardiol
- Instituto de Biología Molecular y Celular de Rosario-CONICET, Facultad de Ciencias Bioquímicas y Farmacéuticas, Universidad Nacional de Rosario, Suipacha 531, 2000 Rosario, Argentina
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Yin X, Huang S, Xu A, Fan F, Chen L, Sun C, Hu Y. Identification of distinctive long noncoding RNA competitive interactions and a six-methylated-gene prognostic signature in acute myeloid leukemia with -5/del(5q) or -7/del(7q). J Cell Biochem 2019; 121:1563-1574. [PMID: 31535409 DOI: 10.1002/jcb.29391] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2019] [Accepted: 08/28/2019] [Indexed: 12/11/2022]
Abstract
BACKGROUND Acute myeloid leukemia (AML) with -5/del(5q) or -7/del(7q) has special clinical and biological characteristics, but its molecular mechanisms and risk stratification remain unknown. METHODS The RNA sequencing and DNA methylation of 23 patients with -5/del(5q) or -7/del(7q) and 128 patients with other subtypes of acute myeloid leukemia were obtained from The Cancer Genome Atlas (TCGA). The regulatory mechanisms of competitive endogenous RNA (ceRNA) network and DNA methylation on gene expression were explored. To find robust and specific risk stratification for this AML subtype, a prognostic model was established and evaluated through four independent data sets. RESULTS We identified 966 differentially expressed long noncoding RNA, 2274 differentially expressed genes, and 47 differentially expressed microRNAs, and constructed a ceRNA network. After the integrated analysis of differentially methylated and expressed genes, 19 genes showed the opposite trend between the methylation variation and gene expression. An six-methylated-gene prognostic signature which highly correlated with overall survival was established, and the performance was validated by leave-one-out cross validation method and permutation test. Furthermore, the excellent prognostic value of this model was supported by an independent cohort, while specificity of this model was validated by three independent data sets, suggesting it as a predictive classifier with high efficiency for distinguishing those with -5/del(5q) or -7/del(7q) from other AML subtypes. CONCLUSIONS The ceRNA network may provide new ideas for the diagnosis and treatment for patients with -5/del(5q) or -7/del(7q).The six-methylated-gene prognostic signature was a robust, specific, and clinically practical risk stratification for the outcome of patients with AML having -5/del(5q) or -7/del(7q).
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Affiliation(s)
- Xuejiao Yin
- Institute of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Sui Huang
- Institute of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Aoshuang Xu
- Institute of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Fengjuan Fan
- Institute of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Lei Chen
- Institute of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Chunyan Sun
- Institute of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Collaborative Innovation Center of Hematology, Huazhong University of Science and Technology, Wuhan, China
| | - Yu Hu
- Institute of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Collaborative Innovation Center of Hematology, Huazhong University of Science and Technology, Wuhan, China
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20
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Foster A, Scott D, Layfield R, Rea S. An FTLD-associated SQSTM1 variant impacts Nrf2 and NF-κB signalling and is associated with reduced phosphorylation of p62. Mol Cell Neurosci 2019; 98:32-45. [DOI: 10.1016/j.mcn.2019.04.001] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2018] [Revised: 03/28/2019] [Accepted: 04/02/2019] [Indexed: 12/12/2022] Open
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Gut Microbiota Disorder, Gut Epithelial and Blood-Brain Barrier Dysfunctions in Etiopathogenesis of Dementia: Molecular Mechanisms and Signaling Pathways. Neuromolecular Med 2019; 21:205-226. [PMID: 31115795 DOI: 10.1007/s12017-019-08547-5] [Citation(s) in RCA: 34] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2018] [Accepted: 05/17/2019] [Indexed: 12/12/2022]
Abstract
Emerging evidences indicate a critical role of the gut microbiota in etiopathogenesis of dementia, a debilitating multifactorial disorder characterized by progressive deterioration of cognition and behavior that interferes with the social and professional functions of the sufferer. Available data suggest that gut microbiota disorder that triggers development of dementia is characterized by substantial reduction in specific species belonging to the Firmicutes and Bacteroidetes phyla and presence of pathogenic species, predominantly, pro-inflammatory bacteria of the Proteobacteria phylum. These changes in gut microbiota microecology promote the production of toxic metabolites and pro-inflammatory cytokines, and reduction in beneficial substances such as short chain fatty acids and other anti-inflammatory factors, thereby, enhancing destruction of the gut epithelial barrier with concomitant activation of local and distant immune cells as well as dysregulation of enteric neurons and glia. This subsequently leads to blood-brain barrier dysfunctions that trigger neuroinflammatory reactions and predisposes to apoptotic neuronal and glial cell death, particularly in the hippocampus and cerebral cortex, which underlie the development of dementia. However, the molecular switches that control these processes in the histo-hematic barriers of the gut and brain are not exactly known. This review integrates very recent data on the molecular mechanisms that link gut microbiota disorder to gut epithelial and blood-brain barrier dysfunctions, underlying the development of dementia. The signaling pathways that link gut microbiota disorder with impairment in cognition and behavior are also discussed. The review also highlights potential therapeutic options for dementia.
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22
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Bennett SA, Tanaz R, Cobos SN, Torrente MP. Epigenetics in amyotrophic lateral sclerosis: a role for histone post-translational modifications in neurodegenerative disease. Transl Res 2019; 204:19-30. [PMID: 30391475 PMCID: PMC6331271 DOI: 10.1016/j.trsl.2018.10.002] [Citation(s) in RCA: 69] [Impact Index Per Article: 13.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/12/2018] [Revised: 09/26/2018] [Accepted: 10/09/2018] [Indexed: 02/06/2023]
Abstract
Amyotrophic lateral sclerosis (ALS) is the third most common adult onset neurodegenerative disorder worldwide. It is generally characterized by progressive paralysis starting at the limbs ultimately leading to death caused by respiratory failure. There is no cure and current treatments fail to slow the progression of the disease. As such, new treatment options are desperately needed. Epigenetic targets are an attractive possibility because they are reversible. Epigenetics refers to heritable changes in gene expression unrelated to changes in DNA sequence. Three main epigenetic mechanisms include the methylation of DNA, microRNAs and the post-translational modification of histone proteins. Histone modifications occur in many amino acid residues and include phosphorylation, acetylation, methylation as well as other chemical moieties. Recent evidence points to a possible role for epigenetic mechanisms in the etiology of ALS. Here, we review recent advances linking ALS and epigenetics, with a strong focus on histone modifications. Both local and global changes in histone modification profiles are associated with ALS drawing attention to potential targets for future diagnostic and treatment approaches.
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Affiliation(s)
- Seth A Bennett
- Department of Chemistry, Brooklyn College, Brooklyn, NewYork; Ph.D. Program in Biochemistry, The Graduate Center of the City University of New York, New York, New York
| | - Royena Tanaz
- Department of Chemistry, Brooklyn College, Brooklyn, NewYork
| | - Samantha N Cobos
- Department of Chemistry, Brooklyn College, Brooklyn, NewYork; Ph.D. Program in Chemistry, The Graduate Center of the City University of New York, New York, NY 10016
| | - Mariana P Torrente
- Department of Chemistry, Brooklyn College, Brooklyn, NewYork; Ph.D. Programs in Chemistry, Biochemistry, and Biology, The Graduate Center of the City University of New York, New York, New York.
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Impact of tRNA Modifications and tRNA-Modifying Enzymes on Proteostasis and Human Disease. Int J Mol Sci 2018; 19:ijms19123738. [PMID: 30477220 PMCID: PMC6321623 DOI: 10.3390/ijms19123738] [Citation(s) in RCA: 76] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2018] [Revised: 11/17/2018] [Accepted: 11/20/2018] [Indexed: 12/14/2022] Open
Abstract
Transfer RNAs (tRNAs) are key players of protein synthesis, as they decode the genetic information organized in mRNA codons, translating them into the code of 20 amino acids. To be fully active, tRNAs undergo extensive post-transcriptional modifications, catalyzed by different tRNA-modifying enzymes. Lack of these modifications increases the level of missense errors and affects codon decoding rate, contributing to protein aggregation with deleterious consequences to the cell. Recent works show that tRNA hypomodification and tRNA-modifying-enzyme deregulation occur in several diseases where proteostasis is affected, namely, neurodegenerative and metabolic diseases. In this review, we discuss the recent findings that correlate aberrant tRNA modification with proteostasis imbalances, in particular in neurological and metabolic disorders, and highlight the association between tRNAs, their modifying enzymes, translational decoding, and disease onset.
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Deconstructing and targeting the genomic architecture of human neurodegeneration. Nat Neurosci 2018; 21:1310-1317. [PMID: 30258235 DOI: 10.1038/s41593-018-0240-z] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2018] [Accepted: 08/23/2018] [Indexed: 01/17/2023]
Abstract
The field of neurodegenerative disease research has seen tremendous advances over the last two decades as new technologies and analytic methods have enabled well-powered human genomic studies. Driven first by genetic studies and more recently by transcriptomic and epigenomic studies of proper size, we have uncovered a large repertoire of loci, genes, and molecular features that are implicated in discrete, syndromically defined neurodegenerative conditions, such as Alzheimer's disease, amyotrophic lateral sclerosis, frontotemporal dementia, multiple sclerosis, and Parkinson's disease. As we begin to understand the impact of these genomic features in each disease, we also appreciate that many aging individuals accumulate each of these pathologies without fulfilling criteria for syndromic diagnoses, that other pathologies are common in individuals with a given diagnosis, and that there may be shared protective factors against central nervous system injury. Thus, we now need to bring these disparate observations together into a person-centered approach that considers all neurodegenerative and protective processes simultaneously to modulate the trajectory of cognitive and functional decline that comes with brain aging.
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Poesen K. The Chromosomal Conformation Signature: A New Kid on the Block in ALS Biomarker Research? EBioMedicine 2018; 33:6-7. [PMID: 30049388 PMCID: PMC6085542 DOI: 10.1016/j.ebiom.2018.07.003] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2018] [Accepted: 07/03/2018] [Indexed: 12/12/2022] Open
Affiliation(s)
- Koen Poesen
- Laboratory for Molecular Neurobiomarker Research (LAMON), Department of Neurosciences, KU Leuven, Herestraat 49, 3000 Leuven, Belgium; Laboratory Medicine, University Hospitals Leuven, Herestraat 49, 3000 Leuven, Belgium.
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Fenoglio C, Scarpini E, Galimberti D. Epigenetic regulatory modifications in genetic and sporadic frontotemporal dementia. Expert Rev Neurother 2018; 18:469-475. [PMID: 29799291 DOI: 10.1080/14737175.2018.1481389] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
INTRODUCTION Epigenetic modifications have recently been linked to neurodegenerative diseases, such as frontotemporal dementia (FTD), which represents the second most common form of dementia in adulthood after Alzheimer's disease (AD). Epigenetic regulation occurs at different cellular levels and serve as a way to alter genetic information not only in aging but also following environmental signals. Thus, epigenetics mechanisms could exert their function at early stage of the disease, especially in sporadic cases. Areas covered: Herein, the available evidence supporting the concept that epigenetic-driven changes might shed the light into the pathogenic mechanisms of FTD will be summarized, with particular regard to their influence in underlying sporadic/familiar FTD onset and/or severity, and to the possibility to open a new scenario to facilitate early diagnosis and the identification of novel therapeutic targets. Bibliographic search through PubMed was used to find the studies included in this review. Expert commentary: Although epigenetic investigation in neurodegenerative disorders is in its infancy, recent advances in the technology of epigenetic change determination has led to novel, challenging findings. In particular, the knowledge and the characterization of epigenetic events could result in novel therapeutic strategies.
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Affiliation(s)
- Chiara Fenoglio
- a Neurodegenerative Disease Unit , University of Milan, Dino Ferrari Center, Fondazione Cà Granda, IRCCS Ospedale Maggiore Policlinico , Milan , Italy
| | - Elio Scarpini
- a Neurodegenerative Disease Unit , University of Milan, Dino Ferrari Center, Fondazione Cà Granda, IRCCS Ospedale Maggiore Policlinico , Milan , Italy
| | - Daniela Galimberti
- a Neurodegenerative Disease Unit , University of Milan, Dino Ferrari Center, Fondazione Cà Granda, IRCCS Ospedale Maggiore Policlinico , Milan , Italy
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