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Ketabforoush A, Faghihi F, Azedi F, Ariaei A, Habibi MA, Khalili M, Ashtiani BH, Joghataei MT, Arnold WD. Sodium Phenylbutyrate and Tauroursodeoxycholic Acid: A Story of Hope Turned to Disappointment in Amyotrophic Lateral Sclerosis Treatment. Clin Drug Investig 2024; 44:495-512. [PMID: 38909349 DOI: 10.1007/s40261-024-01371-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/26/2024] [Indexed: 06/24/2024]
Abstract
The absence of a definitive cure for amyotrophic lateral sclerosis (ALS) emphasizes the crucial need to explore new and improved treatment approaches for this fatal, progressive, and disabling neurodegenerative disorder. As at the end of 2023, five treatments - riluzole, edaravone, dextromethorphan hydrobromide + quinidine sulfate (DHQ), tofersen, and sodium phenylbutyrate-tauroursodeoxycholic acid (PB-TUDCA) - were FDA approved for the treatment of patients with ALS. Among them PB-TUDCA has been shown to impact DNA processing impairments, mitochondria dysfunction, endoplasmic reticulum stress, oxidative stress, and pathologic folded protein agglomeration defects, which have been associated with ALS pathophysiology. The Phase 2 CENTAUR trial demonstrated significant impact of PB-TUDCA on the ALS Functional Rating Scale-Revised (ALSFRS-R) risk of death, hospitalization, and the need for tracheostomy or permanent assisted ventilation in patients with ALS based on post hoc analyses. More recently, contrasting with the CENTAUR trial results, results from the Phase 3 PHOENIX trial (NCT05021536) showed no change in ALSFRS-R total score at 48 weeks. Consequently, the sponsor company initiated the process with the US FDA and Health Canada to voluntarily withdraw the marketing authorizations for PB-TUDCA. In the present article, we review ALS pathophysiology, with a focus on PB-TUDCA's proposed mechanisms of action and recent clinical trial results and discuss the implications of conflicting trial data for ALS and other neurological disorders.
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Affiliation(s)
- Arsh Ketabforoush
- NextGen Precision Health, University of Missouri, 1030 Hitt St., Columbia, MO, 65211, USA
- Department of Physical Medicine and Rehabilitation, University of Missouri, Columbia, MO, USA
| | - Faezeh Faghihi
- Cellular and Molecular Research Center, Iran University of Medical Sciences, Tehran, Iran
| | - Fereshteh Azedi
- Cellular and Molecular Research Center, Iran University of Medical Sciences, Tehran, Iran
- Department of Neuroscience, Faculty of Advanced Technologies in Medicine, Iran University of Medical Sciences, Tehran, Iran
| | - Armin Ariaei
- School of Medicine, Iran University of Medical Sciences, Tehran, Iran
| | - Mohamad Amin Habibi
- Clinical Research Development Center, Shahid Beheshti Hospital, Qom University of Medical Sciences, Qom, Iran
| | - Maryam Khalili
- School of Medicine, Iran University of Medical Sciences, Tehran, Iran
| | - Bahram Haghi Ashtiani
- Department of Neurology, Firouzgar Hospital, Iran University of Medical Sciences, Tehran, Iran
| | - Mohammad Taghi Joghataei
- Cellular and Molecular Research Center, Iran University of Medical Sciences, Tehran, Iran
- Department of Neuroscience, Faculty of Advanced Technologies in Medicine, Iran University of Medical Sciences, Tehran, Iran
| | - W David Arnold
- NextGen Precision Health, University of Missouri, 1030 Hitt St., Columbia, MO, 65211, USA.
- Department of Physical Medicine and Rehabilitation, University of Missouri, Columbia, MO, USA.
- Department of Neurology, University of Missouri, Columbia, MO, USA.
- Department of Medical Pharmacology and Physiology, University of Missouri, Columbia, MO, USA.
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2
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Chatterjee M, Özdemir S, Fritz C, Möbius W, Kleineidam L, Mandelkow E, Biernat J, Doğdu C, Peters O, Cosma NC, Wang X, Schneider LS, Priller J, Spruth E, Kühn AA, Krause P, Klockgether T, Vogt IR, Kimmich O, Spottke A, Hoffmann DC, Fliessbach K, Miklitz C, McCormick C, Weydt P, Falkenburger B, Brandt M, Guenther R, Dinter E, Wiltfang J, Hansen N, Bähr M, Zerr I, Flöel A, Nestor PJ, Düzel E, Glanz W, Incesoy E, Bürger K, Janowitz D, Perneczky R, Rauchmann BS, Hopfner F, Wagemann O, Levin J, Teipel S, Kilimann I, Goerss D, Prudlo J, Gasser T, Brockmann K, Mengel D, Zimmermann M, Synofzik M, Wilke C, Selma-González J, Turon-Sans J, Santos-Santos MA, Alcolea D, Rubio-Guerra S, Fortea J, Carbayo Á, Lleó A, Rojas-García R, Illán-Gala I, Wagner M, Frommann I, Roeske S, Bertram L, Heneka MT, Brosseron F, Ramirez A, Schmid M, Beschorner R, Halle A, Herms J, Neumann M, Barthélemy NR, Bateman RJ, Rizzu P, Heutink P, Dols-Icardo O, Höglinger G, Hermann A, Schneider A. Plasma extracellular vesicle tau and TDP-43 as diagnostic biomarkers in FTD and ALS. Nat Med 2024; 30:1771-1783. [PMID: 38890531 PMCID: PMC11186765 DOI: 10.1038/s41591-024-02937-4] [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: 07/10/2023] [Accepted: 03/21/2024] [Indexed: 06/20/2024]
Abstract
Minimally invasive biomarkers are urgently needed to detect molecular pathology in frontotemporal dementia (FTD) and amyotrophic lateral sclerosis (ALS). Here, we show that plasma extracellular vesicles (EVs) contain quantifiable amounts of TDP-43 and full-length tau, which allow the quantification of 3-repeat (3R) and 4-repeat (4R) tau isoforms. Plasma EV TDP-43 levels and EV 3R/4R tau ratios were determined in a cohort of 704 patients, including 37 genetically and 31 neuropathologically proven cases. Diagnostic groups comprised patients with TDP-43 proteinopathy ALS, 4R tauopathy progressive supranuclear palsy, behavior variant FTD (bvFTD) as a group with either tau or TDP-43 pathology, and healthy controls. EV tau ratios were low in progressive supranuclear palsy and high in bvFTD with tau pathology. EV TDP-43 levels were high in ALS and in bvFTD with TDP-43 pathology. Both markers discriminated between the diagnostic groups with area under the curve values >0.9, and between TDP-43 and tau pathology in bvFTD. Both markers strongly correlated with neurodegeneration, and clinical and neuropsychological markers of disease severity. Findings were replicated in an independent validation cohort of 292 patients including 34 genetically confirmed cases. Taken together, the combination of EV TDP-43 levels and EV 3R/4R tau ratios may aid the molecular diagnosis of FTD, FTD spectrum disorders and ALS, providing a potential biomarker to monitor disease progression and target engagement in clinical trials.
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Grants
- R01 AG080470 NIA NIH HHS
- This study was funded by a grant from the German Federal Ministry of Education and Research, BMBF, grant identifier 01KX2230 to AS. AS received funding from the Federal Ministry of Education and Research, BMBF (DESCARTES consortium, grant identifier 01EK2102A, and PREPARE, grant identifier 01GP2213A), Verum Foundation and BMBF/NUM (UTN consortium). A.S. received funding from Cure Alzheimer’s Fund and from Netzwerke NRW iBehave consortium. A.S. is member of the DFG-funded Cluster of Excellence ImmunoSensation2 - EXC2151 – 390873048. A.S. and A.R. were supported by La Fundación Reina Sofía, proyecto “MANOLO BARRÓS”. A.S. received funding by the Target ALS Foundation (TALS).
- MC received funding from Deutsche Demenzhilfe DZNE Innovative Minds Program and the Manfred-Strohscheer-Foundation.
- L.K. received funding from the Hertie Foundation, Hertie Network of Excellence in Clinical Neurosciences and from the JPND grant 01ED2007B (PreAdapt).
- Cure Alzheimer Foundation, Katharina Hard Foundation
- NRW Netzwerke iBehave
- DFG, Neuro-AcSis
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Affiliation(s)
| | - Selcuk Özdemir
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
- Department of Genetics, Atatürk University, Erzurum, Turkey
| | - Christian Fritz
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Wiebke Möbius
- Department of Neurogenetics, Max Planck Institute for Multidisciplinary Sciences, Göttingen, Germany
- Cluster of Excellence 'Multiscale Bioimaging: from Molecular Machines to Networks of Excitable Cells' (MBExC), University of Göttingen, Göttingen, Germany
| | - Luca Kleineidam
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
- Department of Old Age Psychiatry and Cognitive Disorders, University Hospital Bonn, University of Bonn, Bonn, Germany
| | - Eckhard Mandelkow
- Department of Old Age Psychiatry and Cognitive Disorders, University Hospital Bonn, University of Bonn, Bonn, Germany
| | - Jacek Biernat
- Department of Old Age Psychiatry and Cognitive Disorders, University Hospital Bonn, University of Bonn, Bonn, Germany
| | - Cem Doğdu
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Oliver Peters
- German Center for Neurodegenerative Diseases (DZNE), Berlin, Germany
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Institute of Psychiatry and Psychotherapy, Berlin, Germany
| | | | - Xiao Wang
- German Center for Neurodegenerative Diseases (DZNE), Berlin, Germany
| | | | - Josef Priller
- German Center for Neurodegenerative Diseases (DZNE), Berlin, Germany
- Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin Berlin, Berlin, Germany
- Department of Psychiatry and Psychotherapy, Technical University of Munich School of Medicine, Munich, Germany
- University of Edinburgh and UK DRI, Edinburgh, UK
| | - Eike Spruth
- Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Andrea A Kühn
- German Center for Neurodegenerative Diseases (DZNE), Berlin, Germany
- Movement Disorder and Neuromodulation Unit, Department of Neurology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Patricia Krause
- Movement Disorder and Neuromodulation Unit, Department of Neurology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Thomas Klockgether
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
- Department of Neurology, University of Bonn, Bonn, Germany
| | - Ina R Vogt
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Okka Kimmich
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Annika Spottke
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
- Department of Neurology, University of Bonn, Bonn, Germany
| | | | - Klaus Fliessbach
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
- Department of Old Age Psychiatry and Cognitive Disorders, University Hospital Bonn, University of Bonn, Bonn, Germany
| | - Carolin Miklitz
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
- Department of Old Age Psychiatry and Cognitive Disorders, University Hospital Bonn, University of Bonn, Bonn, Germany
| | - Cornelia McCormick
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
- Department of Old Age Psychiatry and Cognitive Disorders, University Hospital Bonn, University of Bonn, Bonn, Germany
| | - Patrick Weydt
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Björn Falkenburger
- German Center for Neurodegenerative Diseases (DZNE), Dresden, Germany
- Department of Neurology, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Moritz Brandt
- German Center for Neurodegenerative Diseases (DZNE), Dresden, Germany
- Department of Neurology, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - René Guenther
- German Center for Neurodegenerative Diseases (DZNE), Dresden, Germany
- Department of Neurology, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Elisabeth Dinter
- German Center for Neurodegenerative Diseases (DZNE), Dresden, Germany
- Department of Neurology, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Jens Wiltfang
- German Center for Neurodegenerative Diseases (DZNE), Göttingen, Germany
- Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, University of Göttingen, Göttingen, Germany
- Neurosciences and Signaling Group, Institute of Biomedicine (iBiMED), Department of Medical Sciences, University of Aveiro, Aveiro, Portugal
| | - Niels Hansen
- German Center for Neurodegenerative Diseases (DZNE), Göttingen, Germany
- Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, University of Göttingen, Göttingen, Germany
| | - Mathias Bähr
- German Center for Neurodegenerative Diseases (DZNE), Göttingen, Germany
- Department of Neurology, University Medical Center, Georg August University, Göttingen, Germany
- Cluster of Excellence Nanoscale Microscopy and Molecular Physiology of the Brain (CNMPB), University Medical Center Göttingen, Göttingen, Germany
| | - Inga Zerr
- German Center for Neurodegenerative Diseases (DZNE), Göttingen, Germany
- Department of Neurology, University Medical Center, Georg August University, Göttingen, Germany
| | - Agnes Flöel
- Department of Neurology, University Medicine Greifswald, Greifswald, Germany
- German Centre for Neurodegenerative Diseases (DZNE), Rostock/Greifswald, Germany
| | - Peter J Nestor
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
- Queensland Brain Institute, University of Queensland and Mater Public Hospital, Brisbane, Queensland, Australia
| | - Emrah Düzel
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
- Institute of Cognitive Neurology and Dementia Research, Otto-von-Guericke University, Magdeburg, Germany
- Institute of Cognitive Neuroscience, University College London, London, UK
| | - Wenzel Glanz
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
- Institute of Cognitive Neurology and Dementia Research, Otto-von-Guericke University, Magdeburg, Germany
- Clinic for Neurology, University Hospital Magdeburg, Magdeburg, Germany
| | - Enise Incesoy
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
- Institute of Cognitive Neurology and Dementia Research, Otto-von-Guericke University, Magdeburg, Germany
- Department of Psychiatry and Psychotherapy, University Hospital Magdeburg, Magdeburg, Germany
| | - Katharina Bürger
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
- Institute for Stroke and Dementia Research, University Hospital, LMU Munich, Munich, Germany
| | - Daniel Janowitz
- Institute for Stroke and Dementia Research, University Hospital, LMU Munich, Munich, Germany
| | - Robert Perneczky
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy) Munich, Munich, Germany
- Ageing Epidemiology Research Unit, School of Public Health, Imperial College London, London, UK
| | - Boris S Rauchmann
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
- Department of Neuroradiology, University Hospital LMU, Munich, Germany
- Sheffield Institute for Translational Neuroscience (SITraN), University of Sheffield, Sheffield, UK
| | - Franziska Hopfner
- Department of Neurology, University Hospital of Munich, Ludwig-Maximilians-Universität (LMU) Munich, Munich, Germany
| | - Olivia Wagemann
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
- Department of Neurology, University Hospital of Munich, Ludwig-Maximilians-Universität (LMU) Munich, Munich, Germany
| | - Johannes Levin
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy) Munich, Munich, Germany
- Department of Neurology, University Hospital of Munich, Ludwig-Maximilians-Universität (LMU) Munich, Munich, Germany
| | - Stefan Teipel
- German Centre for Neurodegenerative Diseases (DZNE), Rostock/Greifswald, Germany
- Department of Psychosomatic Medicine, Rostock University Medical Center, Rostock, Germany
| | - Ingo Kilimann
- German Centre for Neurodegenerative Diseases (DZNE), Rostock/Greifswald, Germany
- Department of Psychosomatic Medicine, Rostock University Medical Center, Rostock, Germany
| | - Doreen Goerss
- German Centre for Neurodegenerative Diseases (DZNE), Rostock/Greifswald, Germany
| | - Johannes Prudlo
- German Centre for Neurodegenerative Diseases (DZNE), Rostock/Greifswald, Germany
- Department of Neurology, Rostock University Medical Centre, Rostock, Germany
| | - Thomas Gasser
- German Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany
- Hertie Institute for Clinical Brain Research, Department of Neurodegenerative Diseases, University of Tübingen, Tübingen, Germany
| | - Kathrin Brockmann
- German Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany
- Hertie Institute for Clinical Brain Research, Department of Neurodegenerative Diseases, University of Tübingen, Tübingen, Germany
| | - David Mengel
- German Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany
- Hertie Institute for Clinical Brain Research, Department of Neurodegenerative Diseases, University of Tübingen, Tübingen, Germany
| | - Milan Zimmermann
- German Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany
- Hertie Institute for Clinical Brain Research, Department of Neurodegenerative Diseases, University of Tübingen, Tübingen, Germany
| | - Matthis Synofzik
- German Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany
- Hertie Institute for Clinical Brain Research, Department of Neurodegenerative Diseases, University of Tübingen, Tübingen, Germany
| | - Carlo Wilke
- German Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany
- Hertie Institute for Clinical Brain Research, Department of Neurodegenerative Diseases, University of Tübingen, Tübingen, Germany
| | - Judit Selma-González
- Sant Pau Memory Unit, Department of Neurology, Institut de Recerca Sant Pau, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
- Motor Neuron Disease Clinic, Neuromuscular Diseases Unit, Institut de Recerca Sant Pau, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Janina Turon-Sans
- Motor Neuron Disease Clinic, Neuromuscular Diseases Unit, Institut de Recerca Sant Pau, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Madrid, Spain
| | - Miguel Angel Santos-Santos
- Sant Pau Memory Unit, Department of Neurology, Institut de Recerca Sant Pau, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - Daniel Alcolea
- Sant Pau Memory Unit, Department of Neurology, Institut de Recerca Sant Pau, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - Sara Rubio-Guerra
- Sant Pau Memory Unit, Department of Neurology, Institut de Recerca Sant Pau, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - Juan Fortea
- Sant Pau Memory Unit, Department of Neurology, Institut de Recerca Sant Pau, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - Álvaro Carbayo
- Motor Neuron Disease Clinic, Neuromuscular Diseases Unit, Institut de Recerca Sant Pau, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Madrid, Spain
| | - Alberto Lleó
- Sant Pau Memory Unit, Department of Neurology, Institut de Recerca Sant Pau, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - Ricardo Rojas-García
- Motor Neuron Disease Clinic, Neuromuscular Diseases Unit, Institut de Recerca Sant Pau, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Madrid, Spain
| | - Ignacio Illán-Gala
- Sant Pau Memory Unit, Department of Neurology, Institut de Recerca Sant Pau, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - Michael Wagner
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
- Department of Old Age Psychiatry and Cognitive Disorders, University Hospital Bonn, University of Bonn, Bonn, Germany
| | - Ingo Frommann
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
- Department of Old Age Psychiatry and Cognitive Disorders, University Hospital Bonn, University of Bonn, Bonn, Germany
| | - Sandra Roeske
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Lucas Bertram
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Michael T Heneka
- Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Belvaux, Luxembourg
- Department of Infectious Diseases and Immunology, University of Massachussetss Medical School, North Worcester, MA, USA
| | | | - Alfredo Ramirez
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
- Department of Old Age Psychiatry and Cognitive Disorders, University Hospital Bonn, University of Bonn, Bonn, Germany
- Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases (CECAD), University of Cologne, Cologne, Germany
- Division of Neurogenetics and Molecular Psychiatry, Department of Psychiatry, University of Cologne, Cologne, Germany
- Department of Psychiatry, Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases, UT Health San Antonio, San Antonio, TX, USA
| | - Matthias Schmid
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
- Institute for Medical Biometry, Informatics and Epidemiology, University Hospital Bonn, Bonn, Germany
| | - Rudi Beschorner
- German Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany
- Department of Neuropathology, University of Tübingen, Tübingen, Germany
| | - Annett Halle
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
- Department of Neuropathology, University Hospital Bonn, Bonn, Germany
| | - Jochen Herms
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy) Munich, Munich, Germany
- Center for Neuropathology and Prion Research, LMU Munich, Munich, Germany
| | - Manuela Neumann
- German Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany
- Department of Neuropathology, University of Tübingen, Tübingen, Germany
| | - Nicolas R Barthélemy
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
- Tracy Family SILQ Center for Neurodegenerative Biology, St. Louis, MO, USA
| | - Randall J Bateman
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
- Tracy Family SILQ Center for Neurodegenerative Biology, St. Louis, MO, USA
| | - Patrizia Rizzu
- German Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany
| | - Peter Heutink
- German Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany
| | - Oriol Dols-Icardo
- Sant Pau Memory Unit, Department of Neurology, Institut de Recerca Sant Pau, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - Günter Höglinger
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy) Munich, Munich, Germany
- Department of Neurology, University Hospital of Munich, Ludwig-Maximilians-Universität (LMU) Munich, Munich, Germany
| | - Andreas Hermann
- German Centre for Neurodegenerative Diseases (DZNE), Rostock/Greifswald, Germany
- Translational Neurodegeneration Section 'Albrecht Kossel' and Center for Transdisciplinary Neurosciences, University Medical Center Rostock, Rostock, Germany
| | - Anja Schneider
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.
- Department of Old Age Psychiatry and Cognitive Disorders, University Hospital Bonn, University of Bonn, Bonn, Germany.
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Darabi S, Ariaei A, Rustamzadeh A, Afshari D, Charkhat Gorgich EA, Darabi L. Cerebrospinal fluid and blood exosomes as biomarkers for amyotrophic lateral sclerosis; a systematic review. Diagn Pathol 2024; 19:47. [PMID: 38429818 PMCID: PMC10908104 DOI: 10.1186/s13000-024-01473-6] [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: 10/07/2023] [Accepted: 02/25/2024] [Indexed: 03/03/2024] Open
Abstract
BACKGROUND Amyotrophic lateral sclerosis (ALS) is a progressive and fatal motor neuron disease. Due to the limited knowledge about potential biomarkers that help in early diagnosis and monitoring disease progression, today's diagnoses are based on ruling out other diseases, neurography, and electromyography examination, which takes a time-consuming procedure. METHODS PubMed, ScienceDirect, and Web of Science were explored to extract articles published from January 2015 to June 2023. In the searching strategy following keywords were included; amyotrophic lateral sclerosis, biomarkers, cerebrospinal fluid, serum, and plama. RESULTS A total number of 6 studies describing fluid-based exosomal biomarkers were included in this study. Aggregated proteins including SOD1, TDP-43, pTDP-43, and FUS could be detected in the microvesicles (MVs). Moreover, TDP-43 and NFL extracted from plasma exosomes could be used as prognostic biomarkers. Also, downregulated miR-27a-3p detected through exoEasy Maxi and exoQuick Kit in the plasma could be measured as a diagnostic biomarker. Eventually, the upregulated level of CORO1A could be used to monitor disease progression. CONCLUSION Based on the results, each biomarker alone is insufficient to evaluate ALS. CNS-derived exosomes contain multiple ALS-related biomarkers (SOD1, TDP-43, pTDP-43, FUS, and miRNAs) that are detectable in cerebrospinal fluid and blood is a proper alternation. Exosome detecting kits listed as exoEasy, ExoQuick, Exo-spin, ME kit, ExoQuick Plus, and Exo-Flow, are helpful to reach this purpose.
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Affiliation(s)
- Shahram Darabi
- Cellular and Molecular Research Center, Research Institute for Non-communicable Diseases, Qazvin University of Medical Sciences, Qazvin, Iran
| | - Armin Ariaei
- Student Research Committee, Faculty of Medicine, Iran University of Medical Sciences, Tehran, Iran
| | - Auob Rustamzadeh
- Cellular and Molecular Research Center, Research Institute for Non-communicable Diseases, Qazvin University of Medical Sciences, Qazvin, Iran.
- Department of Anatomical Sciences, School of Medicine, Iran University of Medical Sciences, Hemmat Highway, next to Milad Tower, Tehran, Iran.
| | - Dariush Afshari
- Department of Neurology, School of Medicine, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | | | - Leila Darabi
- Department of Neurology, Tehran Medical Science Branch, Amir Al Momenin Hospital, Islamic Azad University, Tehran, Iran
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4
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Irwin KE, Sheth U, Wong PC, Gendron TF. Fluid biomarkers for amyotrophic lateral sclerosis: a review. Mol Neurodegener 2024; 19:9. [PMID: 38267984 PMCID: PMC10809579 DOI: 10.1186/s13024-023-00685-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2023] [Accepted: 11/21/2023] [Indexed: 01/26/2024] Open
Abstract
Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease characterized by the loss of upper and lower motor neurons. Presently, three FDA-approved drugs are available to help slow functional decline for patients with ALS, but no cure yet exists. With an average life expectancy of only two to five years after diagnosis, there is a clear need for biomarkers to improve the care of patients with ALS and to expedite ALS treatment development. Here, we provide a review of the efforts made towards identifying diagnostic, prognostic, susceptibility/risk, and response fluid biomarkers with the intent to facilitate a more rapid and accurate ALS diagnosis, to better predict prognosis, to improve clinical trial design, and to inform interpretation of clinical trial results. Over the course of 20 + years, several promising fluid biomarker candidates for ALS have emerged. These will be discussed, as will the exciting new strategies being explored for ALS biomarker discovery and development.
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Affiliation(s)
- Katherine E Irwin
- Department of Pathology, Johns Hopkins Medicine, Baltimore, MD, 21205, USA
- Department of Neuroscience, Johns Hopkins Medicine, Baltimore, MD, 21205, USA
| | - Udit Sheth
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, 32224, USA
- Mayo Clinic Graduate School of Biomedical Sciences, Mayo Clinic, Jacksonville, FL, 32224, USA
| | - Philip C Wong
- Department of Pathology, Johns Hopkins Medicine, Baltimore, MD, 21205, USA.
- Department of Neuroscience, Johns Hopkins Medicine, Baltimore, MD, 21205, USA.
| | - Tania F Gendron
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, 32224, USA.
- Mayo Clinic Graduate School of Biomedical Sciences, Mayo Clinic, Jacksonville, FL, 32224, USA.
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5
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Pfeiffer P, Coates JR, Esqueda YM, Kennedy A, Getchell K, McLenon M, Kosa E, Agbas A. Exosomal TAR DNA binding protein 43 profile in canine model of amyotrophic lateral sclerosis: a preliminary study in developing blood-based biomarker for neurodegenerative diseases. Ann Med 2023; 55:34-41. [PMID: 36495266 PMCID: PMC9746620 DOI: 10.1080/07853890.2022.2153162] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
OBJECTIVE Blood-based biomarkers provide a crucial information in the progress of neurodegenerative diseases with a minimally invasive sampling method. Validated blood-based biomarker application in people with amyotrophic lateral sclerosis would derive numerous benefits. Canine degenerative myelopathy is a naturally occurring animal disease model to study the biology of human amyotrophic lateral sclerosis. Serum derived exosomes are potential carriers for cell-specific cargoes making them ideal venue to study biomarkers for a variety of diseases and biological processes. This study assessed the exosomal proteins that may be assigned as surrogate biomarker that may reflect biochemical changes in the central nervous system. METHODS Exosomes were isolated from canine serum using commercial exosome isolation reagents. Exosomes target proteins contents were analyzed by the Western blotting method. RESULTS The profiles of potential biomarker candidates in spinal cord homogenate and that of serum-derived exosomes were found elevated in dogs with degenerative myelopathy as compared to control subjects. CONCLUSIONS Serum-derived exosomal biomolecules can serve as surrogate biomarkers in neurodegenerative diseases.KEY MESSAGESA canine with degenerative myelopathy can serve as a model animal to study human amyotrophic lateral sclerosis.Serum-derived exosomes contain Transactive Response DNA Binding Protein 43 (TDP-43), a potential biomarker candidate.The levels of spinal cord TDP-43 proteins and that of serum-derived exosomes exhibited similar profiling. Therefore, serum derived exosomes may be used as a venue for establishing blood-based biomarkers for neurodegenerative diseases.
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Affiliation(s)
| | | | | | | | | | | | - Edina Kosa
- Kansas City University, Kansas City, MO, USA
| | - Abdulbaki Agbas
- Kansas City University, Kansas City, MO, USA.,Heartland Center for Mitochondrial Medicine, Kansas City, KS, USA
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6
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Bagyinszky E, Hulme J, An SSA. Studies of Genetic and Proteomic Risk Factors of Amyotrophic Lateral Sclerosis Inspire Biomarker Development and Gene Therapy. Cells 2023; 12:1948. [PMID: 37566027 PMCID: PMC10417729 DOI: 10.3390/cells12151948] [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: 06/21/2023] [Revised: 07/21/2023] [Accepted: 07/25/2023] [Indexed: 08/12/2023] Open
Abstract
Amyotrophic lateral sclerosis (ALS) is an incurable neurodegenerative disease affecting the upper and lower motor neurons, leading to muscle weakness, motor impairments, disabilities and death. Approximately 5-10% of ALS cases are associated with positive family history (familial ALS or fALS), whilst the remainder are sporadic (sporadic ALS, sALS). At least 50 genes have been identified as causative or risk factors for ALS. Established pathogenic variants include superoxide dismutase type 1 (SOD1), chromosome 9 open reading frame 72 (c9orf72), TAR DNA Binding Protein (TARDBP), and Fused In Sarcoma (FUS); additional ALS-related genes including Charged Multivesicular Body Protein 2B (CHMP2B), Senataxin (SETX), Sequestosome 1 (SQSTM1), TANK Binding Kinase 1 (TBK1) and NIMA Related Kinase 1 (NEK1), have been identified. Mutations in these genes could impair different mechanisms, including vesicle transport, autophagy, and cytoskeletal or mitochondrial functions. So far, there is no effective therapy against ALS. Thus, early diagnosis and disease risk predictions remain one of the best options against ALS symptomologies. Proteomic biomarkers, microRNAs, and extracellular vehicles (EVs) serve as promising tools for disease diagnosis or progression assessment. These markers are relatively easy to obtain from blood or cerebrospinal fluids and can be used to identify potential genetic causative and risk factors even in the preclinical stage before symptoms appear. In addition, antisense oligonucleotides and RNA gene therapies have successfully been employed against other diseases, such as childhood-onset spinal muscular atrophy (SMA), which could also give hope to ALS patients. Therefore, an effective gene and biomarker panel should be generated for potentially "at risk" individuals to provide timely interventions and better treatment outcomes for ALS patients as soon as possible.
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Affiliation(s)
- Eva Bagyinszky
- Graduate School of Environment Department of Industrial and Environmental Engineering, Gachon University, Seongnam-si 13120, Republic of Korea;
| | - John Hulme
- Graduate School of Environment Department of Industrial and Environmental Engineering, Gachon University, Seongnam-si 13120, Republic of Korea;
| | - Seong Soo A. An
- Department of Bionano Technology, Gachon University, Seongnam-si 13120, Republic of Korea
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7
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Kavungal D, Magalhães P, Kumar ST, Kolla R, Lashuel HA, Altug H. Artificial intelligence-coupled plasmonic infrared sensor for detection of structural protein biomarkers in neurodegenerative diseases. SCIENCE ADVANCES 2023; 9:eadg9644. [PMID: 37436975 DOI: 10.1126/sciadv.adg9644] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Accepted: 06/08/2023] [Indexed: 07/14/2023]
Abstract
Diagnosis of neurodegenerative disorders (NDDs) including Parkinson's disease and Alzheimer's disease is challenging owing to the lack of tools to detect preclinical biomarkers. The misfolding of proteins into oligomeric and fibrillar aggregates plays an important role in the development and progression of NDDs, thus underscoring the need for structural biomarker-based diagnostics. We developed an immunoassay-coupled nanoplasmonic infrared metasurface sensor that detects proteins linked to NDDs, such as alpha-synuclein, with specificity and differentiates the distinct structural species using their unique absorption signatures. We augmented the sensor with an artificial neural network enabling unprecedented quantitative prediction of oligomeric and fibrillar protein aggregates in their mixture. The microfluidic integrated sensor can retrieve time-resolved absorbance fingerprints in the presence of a complex biomatrix and is capable of multiplexing for the simultaneous monitoring of multiple pathology-associated biomarkers. Thus, our sensor is a promising candidate for the clinical diagnosis of NDDs, disease monitoring, and evaluation of novel therapies.
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Affiliation(s)
- Deepthy Kavungal
- Bionanophotonic Systems Laboratory, Institute of Bioengineering, School of Engineering, EPFL, Lausanne, Switzerland
- Laboratory of Molecular and Chemical Biology of Neurodegeneration, Institute of Bioengineering, School of Life Sciences, EPFL, Lausanne, Switzerland
| | - Pedro Magalhães
- Laboratory of Molecular and Chemical Biology of Neurodegeneration, Institute of Bioengineering, School of Life Sciences, EPFL, Lausanne, Switzerland
| | - Senthil T Kumar
- Laboratory of Molecular and Chemical Biology of Neurodegeneration, Institute of Bioengineering, School of Life Sciences, EPFL, Lausanne, Switzerland
| | - Rajasekhar Kolla
- Laboratory of Molecular and Chemical Biology of Neurodegeneration, Institute of Bioengineering, School of Life Sciences, EPFL, Lausanne, Switzerland
| | - Hilal A Lashuel
- Laboratory of Molecular and Chemical Biology of Neurodegeneration, Institute of Bioengineering, School of Life Sciences, EPFL, Lausanne, Switzerland
| | - Hatice Altug
- Bionanophotonic Systems Laboratory, Institute of Bioengineering, School of Engineering, EPFL, Lausanne, Switzerland
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8
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Dučić T, Koch JC. Synchrotron-Based Fourier-Transform Infrared Micro-Spectroscopy of Cerebrospinal Fluid from Amyotrophic Lateral Sclerosis Patients Reveals a Unique Biomolecular Profile. Cells 2023; 12:1451. [PMID: 37296572 PMCID: PMC10253168 DOI: 10.3390/cells12111451] [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: 03/14/2023] [Revised: 05/12/2023] [Accepted: 05/17/2023] [Indexed: 06/12/2023] Open
Abstract
Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease, with the most common adult-onset neurodegenerative disorder affecting motoneurons. Although disruptions in macromolecular conformation and homeostasis have been described in association with ALS, the underlying pathological mechanisms are still not completely understood, and unambiguous biomarkers are lacking. Fourier Transform Infrared Spectroscopy (FTIR) of cerebrospinal fluid (CSF) is appealing to extensive interest due to its potential to resolve biomolecular conformation and content, as this approach offers a non-invasive, label-free identification of specific biologically relevant molecules in a few microliters of CSF sample. Here, we analyzed the CSF of 33 ALS patients compared to 32 matched controls using FTIR spectroscopy and multivariate analysis and demonstrated major differences in the molecular contents. A significant change in the conformation and concentration of RNA is demonstrated. Moreover, significantly increased glutamate and carbohydrates are found in ALS. Moreover, key markers of lipid metabolism are strongly altered; specifically, we find a decrease in unsaturated lipids and an increase in peroxidation of lipids in ALS, whereas the total amount of lipids compared to proteins is reduced. Our study demonstrates that FTIR characterization of CSF could represent a powerful tool for ALS diagnosis and reveals central features of ALS pathophysiology.
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Affiliation(s)
- Tanja Dučić
- CELLS−ALBA, Carrer de la Llum 2-26, Cerdanyola del Valles, 08290 Barcelona, Spain
| | - Jan Christoph Koch
- Department of Neurology, University Medicine Göttingen, Robert-Koch-Str. 40, 37075 Göttingen, Germany
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9
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Beyer L, Stocker H, Rujescu D, Holleczek B, Stockmann J, Nabers A, Brenner H, Gerwert K. Amyloid-beta misfolding and GFAP predict risk of clinical Alzheimer's disease diagnosis within 17 years. Alzheimers Dement 2023; 19:1020-1028. [PMID: 35852967 DOI: 10.1002/alz.12745] [Citation(s) in RCA: 21] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Revised: 05/29/2022] [Accepted: 06/10/2022] [Indexed: 12/27/2022]
Abstract
INTRODUCTION Blood-based biomarkers for Alzheimer's disease (AD) are urgently needed. Here, four plasma biomarkers were measured at baseline in a community-based cohort followed over 17 years, and the association with clinical AD risk was determined. METHODS Amyloid beta (Aβ) misfolding status as a structure-based biomarker as well as phosphorylated tau 181 (P-tau181), glial fibrillary acidic protein (GFAP), and neurofilament light (NfL) concentration levels were determined at baseline in heparin plasma from 68 participants who were diagnosed with AD and 240 controls without dementia diagnosis throughout follow-up. RESULTS Aβ misfolding exhibited high disease prediction accuracy of AD diagnosis within 17 years. Among the concentration markers, GFAP showed the best performance, followed by NfL and P-tau181. The combination of Aβ misfolding and GFAP increased the accuracy. DISCUSSION Aβ misfolding and GFAP showed a strong ability to predict clinical AD risk and may be important early AD risk markers. Aβ misfolding illustrated its potential as a prescreening tool for AD risk stratification in older adults.
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Affiliation(s)
- Léon Beyer
- Center for Protein Diagnostics (PRODI), Ruhr-University Bochum, Bochum, Germany
- Department of Biophysics, Ruhr-University Bochum, Bochum, Germany
| | - Hannah Stocker
- Network Aging Research, Heidelberg University, Heidelberg, Germany
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Heidelberg, Germany
| | - Dan Rujescu
- Department of Psychiatry, Medical University of Vienna, Vienna, Austria
| | | | - Julia Stockmann
- Center for Protein Diagnostics (PRODI), Ruhr-University Bochum, Bochum, Germany
- Department of Biophysics, Ruhr-University Bochum, Bochum, Germany
| | - Andreas Nabers
- Center for Protein Diagnostics (PRODI), Ruhr-University Bochum, Bochum, Germany
- Department of Biophysics, Ruhr-University Bochum, Bochum, Germany
| | - Hermann Brenner
- Network Aging Research, Heidelberg University, Heidelberg, Germany
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Heidelberg, Germany
| | - Klaus Gerwert
- Center for Protein Diagnostics (PRODI), Ruhr-University Bochum, Bochum, Germany
- Department of Biophysics, Ruhr-University Bochum, Bochum, Germany
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10
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Sharma VK, Singh TG, Mehta V, Mannan A. Biomarkers: Role and Scope in Neurological Disorders. Neurochem Res 2023; 48:2029-2058. [PMID: 36795184 DOI: 10.1007/s11064-023-03873-4] [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: 06/02/2022] [Revised: 01/19/2023] [Accepted: 01/21/2023] [Indexed: 02/17/2023]
Abstract
Neurological disorders pose a great threat to social health and are a major cause for mortality and morbidity. Effective drug development complemented with the improved drug therapy has made considerable progress towards easing symptoms associated with neurological illnesses, yet poor diagnosis and imprecise understanding of these disorders has led to imperfect treatment options. The scenario is complicated by the inability to extrapolate results of cell culture studies and transgenic models to clinical applications which has stagnated the process of improving drug therapy. In this context, the development of biomarkers has been viewed as beneficial to easing various pathological complications. A biomarker is measured and evaluated in order to gauge the physiological process or a pathological progression of a disease and such a marker can also indicate the clinical or pharmacological response to a therapeutic intervention. The development and identification of biomarkers for neurological disorders involves several issues including the complexity of the brain, unresolved discrepant data from experimental and clinical studies, poor clinical diagnostics, lack of functional endpoints, and high cost and complexity of techniques yet research in the area of biomarkers is highly desired. The present work describes existing biomarkers for various neurological disorders, provides support for the idea that biomarker development may ease our understanding underlying pathophysiology of these disorders and help to design and explore therapeutic targets for effective intervention.
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Affiliation(s)
- Vivek Kumar Sharma
- Chitkara College of Pharmacy, Chitkara University, Chandigarh, Punjab, 140401, India.,Government College of Pharmacy, Rohru, Shimla, Himachal Pradesh, 171207, India
| | - Thakur Gurjeet Singh
- Chitkara College of Pharmacy, Chitkara University, Chandigarh, Punjab, 140401, India.
| | - Vineet Mehta
- Government College of Pharmacy, Rohru, Shimla, Himachal Pradesh, 171207, India
| | - Ashi Mannan
- Chitkara College of Pharmacy, Chitkara University, Chandigarh, Punjab, 140401, India
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11
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TDP-43 Proteinopathy Specific Biomarker Development. Cells 2023; 12:cells12040597. [PMID: 36831264 PMCID: PMC9954136 DOI: 10.3390/cells12040597] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Revised: 01/31/2023] [Accepted: 02/07/2023] [Indexed: 02/16/2023] Open
Abstract
TDP-43 is the primary or secondary pathological hallmark of neurodegenerative diseases, such as amyotrophic lateral sclerosis, half of frontotemporal dementia cases, and limbic age-related TDP-43 encephalopathy, which clinically resembles Alzheimer's dementia. In such diseases, a biomarker that can detect TDP-43 proteinopathy in life would help to stratify patients according to their definite diagnosis of pathology, rather than in clinical subgroups of uncertain pathology. For therapies developed to target pathological proteins that cause the disease a biomarker to detect and track the underlying pathology would greatly enhance such undertakings. This article reviews the latest developments and outlooks of deriving TDP-43-specific biomarkers from the pathophysiological processes involved in the development of TDP-43 proteinopathy and studies using biosamples from clinical entities associated with TDP-43 pathology to investigate biomarker candidates.
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12
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Chen X, Zhou L, Cui C, Sun J. Evolving markers in amyotrophic lateral sclerosis. Adv Clin Chem 2023. [DOI: 10.1016/bs.acc.2023.02.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/15/2023]
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13
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Najafi S, Najafi P, Kaffash Farkhad N, Hosseini Torshizi G, Assaran Darban R, Boroumand AR, Sahab-Negah S, Khodadoust MA, Tavakol-Afshari J. Mesenchymal stem cell therapy in amyotrophic lateral sclerosis (ALS) patients: A comprehensive review of disease information and future perspectives. IRANIAN JOURNAL OF BASIC MEDICAL SCIENCES 2023; 26:872-881. [PMID: 37427325 PMCID: PMC10329242 DOI: 10.22038/ijbms.2023.66364.14572] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Figures] [Subscribe] [Scholar Register] [Received: 06/26/2022] [Accepted: 03/15/2023] [Indexed: 07/11/2023]
Abstract
Amyotrophic lateral sclerosis (ALS) is a rare deadly progressive neurological disease that primarily affects the upper and lower motor neurons with an annual incidence rate of 0.6 to 3.8 per 100,000 people. Weakening and gradual atrophy of the voluntary muscles are the first signs of the disease onset affecting all aspects of patients' lives, including eating, speaking, moving, and even breathing. Only 5-10% of patients have a familial type of the disease and show an autosomal dominant pattern, but the cause of the disease is unknown in the remaining 90% of patients (Sporadic ALS). However, in both types of disease, the patient's survival is 2 to 5 years from the disease onset. Some clinical and molecular biomarkers, magnetic resonance imaging (MRI), blood or urine test, muscle biopsy, and genetic testing are complementary methods for disease diagnosis. Unfortunately, with the exception of Riluzole, the only medically approved drug for the management of this disease, there is still no definitive cure for it. In this regard, the use of mesenchymal stem cells (MSCs) for the treatment or management of the disease has been common in preclinical and clinical studies for many years. MSCs are multipotent cells having immunoregulatory, anti-inflammatory, and differentiation ability that makes them a good candidate for this purpose. This review article aims to discuss multiple aspects of ALS disease and focus on MSCs' role in disease management based on performed clinical trials.
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Affiliation(s)
- Shahrzad Najafi
- Department of Biology, Mashhad Branch, Islamic Azad University, Mashhad, Iran
| | - Parizad Najafi
- Department of Biology, Mashhad Branch, Islamic Azad University, Mashhad, Iran
| | - Najmeh Kaffash Farkhad
- Immunology Research Center, Department of Immunology, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | | | - Reza Assaran Darban
- Department of Biology, Mashhad Branch, Islamic Azad University, Mashhad, Iran
| | - Amir Reza Boroumand
- Neuroscience Research Center, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Sajad Sahab-Negah
- Neuroscience Research Center, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
- Shefa Neuroscience Research Center, Khatam Alanbia Hospital, Tehran, Iran
| | - Mohammad Ali Khodadoust
- Immunology Research Center, Department of Immunology, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Jalil Tavakol-Afshari
- Immunology Research Center, Department of Immunology, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
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14
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Ashhurst JF, Tu S, Timmins HC, Kiernan MC. Progress, development, and challenges in amyotrophic lateral sclerosis clinical trials. Expert Rev Neurother 2022; 22:905-913. [PMID: 36543326 DOI: 10.1080/14737175.2022.2161893] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
INTRODUCTION Amyotrophic Lateral Sclerosis (ALS) brings unique challenges to a clinical trial setting, due in part to relatively low disease prevalence coupled with a poor prognosis, in addition to the complexities linked to disease heterogeneity. As critical understanding of the disease develops, particularly in relation to clinical phenotype and the mechanisms of disease progression, so too new concepts evolve in relation to clinical trials, including the advent of precision therapy, targeted to subgroups of ALS patients. AREAS COVERED Individualized, or precision medicine in ALS recognizes the heterogeneous nature of the disease and utilizes information such as the clinical phenotype of the disease, clinical biomarkers, and genotyping to promote a tailored approach to treatment. Separate to these considerations, the present review will discuss clinical trial design and how this can be improved to better match patient and investigator needs in ALS clinical trials. EXPERT OPINION Precision therapy will promote a more focused treatment approach, with the goal of improving clinical outcomes for ALS patients. An increased community awareness of ALS, coupled with significant industry and philanthropic funding for ALS research, is accelerating this process.
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Affiliation(s)
| | - Sicong Tu
- Brain and Mind Centre, University of Sydney, Camperdown, Australia
| | - Hannah C Timmins
- Brain and Mind Centre, University of Sydney, Camperdown, Australia
| | - Matthew C Kiernan
- Brain and Mind Centre, University of Sydney, Camperdown, Australia.,Department of Neurology, Royal Prince Alfred Hospital, Sydney, Australia
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15
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Duong MT, Wolk DA. Limbic-Predominant Age-Related TDP-43 Encephalopathy: LATE-Breaking Updates in Clinicopathologic Features and Biomarkers. Curr Neurol Neurosci Rep 2022; 22:689-698. [PMID: 36190653 PMCID: PMC9633415 DOI: 10.1007/s11910-022-01232-4] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/21/2022] [Indexed: 01/27/2023]
Abstract
PURPOSE OF REVIEW Limbic-predominant age-related TDP-43 encephalopathy (LATE) is a recently defined neurodegenerative disease characterized by amnestic phenotype and pathological inclusions of TAR DNA-binding protein 43 (TDP-43). LATE is distinct from rarer forms of TDP-43 diseases such as frontotemporal lobar degeneration with TDP-43 but is also a common copathology with Alzheimer's disease (AD) and cerebrovascular disease and accelerates cognitive decline. LATE contributes to clinicopathologic heterogeneity in neurodegenerative diseases, so it is imperative to distinguish LATE from other etiologies. RECENT FINDINGS Novel biomarkers for LATE are being developed with magnetic resonance imaging (MRI) and positron emission tomography (PET). When cooccurring with AD, LATE exhibits identifiable patterns of limbic-predominant atrophy on MRI and hypometabolism on 18F-fluorodeoxyglucose PET that are greater than expected relative to levels of local AD pathology. Efforts are being made to develop TDP-43-specific radiotracers, molecularly specific biofluid measures, and genomic predictors of TDP-43. LATE is a highly prevalent neurodegenerative disease distinct from previously characterized cognitive disorders.
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Affiliation(s)
- Michael Tran Duong
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, PA, USA
| | - David A Wolk
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
- Alzheimer's Disease Research Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
- Institute On Aging, Perelman School of Medicine, University of Pennsylvania, 3400 Spruce St, Philadelphia, PA, 19104, USA.
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16
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Abstract
PURPOSE OF REVIEW Amyotrophic lateral sclerosis (ALS) is an incurable, devastating neurodegenerative disease. Still, the diagnosis is mainly based on clinical symptoms, and the treatment options are strongly limited. However, the pipeline of potential treatments currently tested in clinical trials is promising. This review will discuss developments in ALS biomarker research and applications within the last 2 years and suggest future directions and needs. RECENT FINDINGS The diagnostic and prognostic utility of neurofilaments, a general marker for axoneuronal degeneration, has been confirmed by further studies in patients with ALS, and neurofilaments are finding their way into routine diagnostic and clinical trials. Additionally, there have been advancements in developing and implementing disease-specific biomarkers, especially in patients with a genetic variant, such as SOD1 or C9orf72 . Here, biomarkers have already been used as target markers and outcome parameters for novel treatment approaches. In addition, several novel biomarkers have shown encouraging results but should be discussed in the context of their early stage of assay and clinical establishment. SUMMARY The first biomarkers have found their way into clinical routine in ALS. In light of an increasing pipeline of potential treatments, further progress in discovering and implementing novel and existing biomarkers is crucial.
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Affiliation(s)
- Simon Witzel
- Department of Neurology, Ulm University Hospital, Oberer Eselsberg
| | - Kristina Mayer
- Department of Neurology, Ulm University Hospital, Oberer Eselsberg
| | - Patrick Oeckl
- Department of Neurology, Ulm University Hospital, Oberer Eselsberg
- German Center for Neurodegenerative Diseases (DZNE), Site Ulm, Ulm, Germany
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17
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Reyes-Leiva D, Dols-Icardo O, Sirisi S, Cortés-Vicente E, Turon-Sans J, de Luna N, Blesa R, Belbin O, Montal V, Alcolea D, Fortea J, Lleó A, Rojas-García R, Illán-Gala I. Pathophysiological Underpinnings of Extra-Motor Neurodegeneration in Amyotrophic Lateral Sclerosis: New Insights From Biomarker Studies. Front Neurol 2022; 12:750543. [PMID: 35115992 PMCID: PMC8804092 DOI: 10.3389/fneur.2021.750543] [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: 07/30/2021] [Accepted: 12/09/2021] [Indexed: 11/13/2022] Open
Abstract
Amyotrophic lateral sclerosis (ALS) and frontotemporal lobar degeneration (FTLD) lie at opposing ends of a clinical, genetic, and neuropathological continuum. In the last decade, it has become clear that cognitive and behavioral changes in patients with ALS are more frequent than previously recognized. Significantly, these non-motor features can impact the diagnosis, prognosis, and management of ALS. Partially overlapping neuropathological staging systems have been proposed to describe the distribution of TAR DNA-binding protein 43 (TDP-43) aggregates outside the corticospinal tract. However, the relationship between TDP-43 inclusions and neurodegeneration is not absolute and other pathophysiological processes, such as neuroinflammation (with a prominent role of microglia), cortical hyperexcitability, and synaptic dysfunction also play a central role in ALS pathophysiology. In the last decade, imaging and biofluid biomarker studies have revealed important insights into the pathophysiological underpinnings of extra-motor neurodegeneration in the ALS-FTLD continuum. In this review, we first summarize the clinical and pathophysiological correlates of extra-motor neurodegeneration in ALS. Next, we discuss the diagnostic and prognostic value of biomarkers in ALS and their potential to characterize extra-motor neurodegeneration. Finally, we debate about how biomarkers could improve the diagnosis and classification of ALS. Emerging imaging biomarkers of extra-motor neurodegeneration that enable the monitoring of disease progression are particularly promising. In addition, a growing arsenal of biofluid biomarkers linked to neurodegeneration and neuroinflammation are improving the diagnostic accuracy and identification of patients with a faster progression rate. The development and validation of biomarkers that detect the pathological aggregates of TDP-43 in vivo are notably expected to further elucidate the pathophysiological underpinnings of extra-motor neurodegeneration in ALS. Novel biomarkers tracking the different aspects of ALS pathophysiology are paving the way to precision medicine approaches in the ALS-FTLD continuum. These are essential steps to improve the diagnosis and staging of ALS and the design of clinical trials testing novel disease-modifying treatments.
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Affiliation(s)
- David Reyes-Leiva
- Neuromuscular Diseases Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Raras, CIBERER, Valencia, Spain
| | - Oriol Dols-Icardo
- Sant Pau Memory Unit, Department of Neurology, Biomedical Research Institute Sant Pau, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas, CIBERNED, Madrid, Spain
| | - Sonia Sirisi
- Sant Pau Memory Unit, Department of Neurology, Biomedical Research Institute Sant Pau, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas, CIBERNED, Madrid, Spain
| | - Elena Cortés-Vicente
- Neuromuscular Diseases Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Raras, CIBERER, Valencia, Spain
| | - Janina Turon-Sans
- Neuromuscular Diseases Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Raras, CIBERER, Valencia, Spain
| | - Noemi de Luna
- Neuromuscular Diseases Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Raras, CIBERER, Valencia, Spain
| | - Rafael Blesa
- Sant Pau Memory Unit, Department of Neurology, Biomedical Research Institute Sant Pau, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas, CIBERNED, Madrid, Spain
| | - Olivia Belbin
- Sant Pau Memory Unit, Department of Neurology, Biomedical Research Institute Sant Pau, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas, CIBERNED, Madrid, Spain
| | - Victor Montal
- Sant Pau Memory Unit, Department of Neurology, Biomedical Research Institute Sant Pau, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas, CIBERNED, Madrid, Spain
| | - Daniel Alcolea
- Sant Pau Memory Unit, Department of Neurology, Biomedical Research Institute Sant Pau, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas, CIBERNED, Madrid, Spain
| | - Juan Fortea
- Sant Pau Memory Unit, Department of Neurology, Biomedical Research Institute Sant Pau, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas, CIBERNED, Madrid, Spain
| | - Alberto Lleó
- Sant Pau Memory Unit, Department of Neurology, Biomedical Research Institute Sant Pau, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas, CIBERNED, Madrid, Spain
| | - Ricard Rojas-García
- Neuromuscular Diseases Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Raras, CIBERER, Valencia, Spain
| | - Ignacio Illán-Gala
- Sant Pau Memory Unit, Department of Neurology, Biomedical Research Institute Sant Pau, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas, CIBERNED, Madrid, Spain
- *Correspondence: Ignacio Illán-Gala
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Peng G, Gu A, Niu H, Chen L, Chen Y, Zhou M, Zhang Y, Liu J, Cai L, Liang D, Liu X, Liu M. Amyotrophic lateral sclerosis (ALS) linked mutation in Ubiquilin 2 affects stress granule assembly via TIA-1. CNS Neurosci Ther 2021; 28:105-115. [PMID: 34750982 PMCID: PMC8673703 DOI: 10.1111/cns.13757] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2021] [Revised: 09/28/2021] [Accepted: 10/15/2021] [Indexed: 12/17/2022] Open
Abstract
Aims The ubiquilin‐like protein ubiquilin 2 (UBQLN2) is associated with amyotrophic lateral sclerosis and frontotemporal degeneration (ALS/FTD). The biological function of UBQLN2 has previously been shown to be related to stress granules (SGs). In this study, we aimed to clarify the regulatory relationship between UBQLN2 and SGs. Methods In this study, we transfected UBQLN2‐WT or UBQLN2‐P497H plasmids into cell lines (HEK293T, HeLa), and observed the process of SG dynamics by immunofluorescence. Meanwhile, immunoblot analyses the protein changes of stress granules related components. Results We observed that ubiquilin 2 colocalizes with the SG component proteins G3BP1, TIA‐1, ATXN2, and PABPC1. In cells expressing WT UBQLN2 or P497H mutants, in the early stages of SG formation under oxidative stress, the percentage of cells with SGs and the number of SGs per cell decreased to varying degrees. Between WT and mutant, there was no significant difference in eIF2α activity after stress treatment. Interestingly, the UBQLN2 P497H mutant downregulates the level of TIA‐1. In addition, the overexpression of the UBQLN2 P497H mutant inhibited the phosphorylation of 4E‐BP1 and affected the nucleoplasmic distribution of TDP‐43. Conclusions Ubiquilin 2 colocalizes with the SG component proteins G3BP1, TIA‐1, ATXN2, and PABPC1. It participates in regulating SG dynamics. And UBQLN2 mutation affects the assembly of stress granules by regulating TIA‐1. In addition, the overexpression of the UBQLN2 P497H mutant inhibited the phosphorylation of 4E‐BP1 and affected the nuclear and cytoplasmic distribution of TDP‐43. These provide new insights into the role of UBQLN2 in oxidative stress and the pathogenesis of ALS.
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Affiliation(s)
- Guangnan Peng
- Center for Medical Genetics & Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Hunan, China
| | - Ao Gu
- Center for Medical Genetics & Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Hunan, China
| | - Hongyan Niu
- Center for Medical Genetics & Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Hunan, China
| | - Linlin Chen
- Center for Medical Genetics & Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Hunan, China
| | - Yan Chen
- Center for Medical Genetics & Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Hunan, China
| | - Miaojin Zhou
- Center for Medical Genetics & Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Hunan, China
| | - Yiti Zhang
- Center for Medical Genetics & Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Hunan, China
| | - Jie Liu
- Center for Regenerative Medicine, The First People's Hospital of Yunnan Province, Kunming, China
| | - Licong Cai
- School of Life Sciences, Central South University, Hunan, China
| | - Desheng Liang
- Center for Medical Genetics & Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Hunan, China.,Hunan Key Laboratory of Basic and Applied Hematology, Central South University, Hunan, China
| | - Xionghao Liu
- Center for Medical Genetics & Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Hunan, China.,Hunan Key Laboratory of Basic and Applied Hematology, Central South University, Hunan, China.,Hunan Key Laboratory of Animal Models for Human Diseases, Central South University, Hunan, China
| | - Mujun Liu
- Hunan Key Laboratory of Basic and Applied Hematology, Central South University, Hunan, China.,Hunan Key Laboratory of Animal Models for Human Diseases, Central South University, Hunan, China.,Department of Cell Biology, School of Life Sciences, Central South University, Hunan, China
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