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Majewski S, Klein P, Boillée S, Clarke BE, Patani R. Towards an integrated approach for understanding glia in Amyotrophic Lateral Sclerosis. Glia 2024. [PMID: 39318236 DOI: 10.1002/glia.24622] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2024] [Revised: 09/03/2024] [Accepted: 09/15/2024] [Indexed: 09/26/2024]
Abstract
Substantial advances in technology are permitting a high resolution understanding of the salience of glia, and have helped us to transcend decades of predominantly neuron-centric research. In particular, recent advances in 'omic' technologies have enabled unique insights into glial biology, shedding light on the cellular and molecular aspects of neurodegenerative diseases, including amyotrophic lateral sclerosis (ALS). Here, we review studies using omic techniques to attempt to understand the role of glia in ALS across different model systems and post mortem tissue. We also address caveats that should be considered when interpreting such studies, and how some of these may be mitigated through either using a multi-omic approach and/or careful low throughput, high fidelity orthogonal validation with particular emphasis on functional validation. Finally, we consider emerging technologies and their potential relevance in deepening our understanding of glia in ALS.
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Affiliation(s)
- Stanislaw Majewski
- Department of Neuromuscular Diseases, Queen Square Institute of Neurology, University College London, London, UK
- The Francis Crick Institute, London, UK
| | - Pierre Klein
- Department of Neuromuscular Diseases, Queen Square Institute of Neurology, University College London, London, UK
- The Francis Crick Institute, London, UK
| | - Séverine Boillée
- Sorbonne Université, Institut du Cerveau-Paris Brain Institute-ICM, Inserm, CNRS, APHP, Hôpital de la Pitié-Salpêtrière, Paris, France
| | - Benjamin E Clarke
- Department of Neuromuscular Diseases, Queen Square Institute of Neurology, University College London, London, UK
- The Francis Crick Institute, London, UK
| | - Rickie Patani
- Department of Neuromuscular Diseases, Queen Square Institute of Neurology, University College London, London, UK
- The Francis Crick Institute, London, UK
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2
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van der Geest AT, Jakobs CE, Ljubikj T, Huffels CFM, Cañizares Luna M, Vieira de Sá R, Adolfs Y, de Wit M, Rutten DH, Kaal M, Zwartkruis MM, Carcolé M, Groen EJN, Hol EM, Basak O, Isaacs AM, Westeneng HJ, van den Berg LH, Veldink JH, Schlegel DK, Pasterkamp RJ. Molecular pathology, developmental changes and synaptic dysfunction in (pre-) symptomatic human C9ORF72-ALS/FTD cerebral organoids. Acta Neuropathol Commun 2024; 12:152. [PMID: 39289761 PMCID: PMC11409520 DOI: 10.1186/s40478-024-01857-1] [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: 08/21/2024] [Accepted: 08/24/2024] [Indexed: 09/19/2024] Open
Abstract
A hexanucleotide repeat expansion (HRE) in C9ORF72 is the most common genetic cause of amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD). Human brain imaging and experimental studies indicate early changes in brain structure and connectivity in C9-ALS/FTD, even before symptom onset. Because these early disease phenotypes remain incompletely understood, we generated iPSC-derived cerebral organoid models from C9-ALS/FTD patients, presymptomatic C9ORF72-HRE (C9-HRE) carriers, and controls. Our work revealed the presence of all three C9-HRE-related molecular pathologies and developmental stage-dependent size phenotypes in cerebral organoids from C9-ALS/FTD patients. In addition, single-cell RNA sequencing identified changes in cell type abundance and distribution in C9-ALS/FTD organoids, including a reduction in the number of deep layer cortical neurons and the distribution of neural progenitors. Further, molecular and cellular analyses and patch-clamp electrophysiology detected various changes in synapse structure and function. Intriguingly, organoids from all presymptomatic C9-HRE carriers displayed C9-HRE molecular pathology, whereas the extent to which more downstream cellular defects, as found in C9-ALS/FTD models, were detected varied for the different presymptomatic C9-HRE cases. Together, these results unveil early changes in 3D human brain tissue organization and synaptic connectivity in C9-ALS/FTD that likely constitute initial pathologies crucial for understanding disease onset and the design of therapeutic strategies.
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Affiliation(s)
- Astrid T van der Geest
- Department of Translational Neuroscience, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Channa E Jakobs
- Department of Translational Neuroscience, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Tijana Ljubikj
- Department of Translational Neuroscience, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Christiaan F M Huffels
- Department of Translational Neuroscience, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Marta Cañizares Luna
- Department of Translational Neuroscience, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Renata Vieira de Sá
- Department of Translational Neuroscience, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Youri Adolfs
- Department of Translational Neuroscience, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Marina de Wit
- Department of Translational Neuroscience, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Daan H Rutten
- Department of Translational Neuroscience, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Marthe Kaal
- Department of Translational Neuroscience, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Maria M Zwartkruis
- Department of Neurology and Neurosurgery, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
- Department of Genetics, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Mireia Carcolé
- UK Dementia Research Institute at UCL and Dept. of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
| | - Ewout J N Groen
- Department of Neurology and Neurosurgery, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Elly M Hol
- Department of Translational Neuroscience, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Onur Basak
- Department of Translational Neuroscience, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Adrian M Isaacs
- UK Dementia Research Institute at UCL and Dept. of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
| | - Henk-Jan Westeneng
- Department of Neurology and Neurosurgery, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Leonard H van den Berg
- Department of Neurology and Neurosurgery, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Jan H Veldink
- Department of Neurology and Neurosurgery, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Domino K Schlegel
- Department of Translational Neuroscience, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - R Jeroen Pasterkamp
- Department of Translational Neuroscience, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
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Glineburg MR, Yildirim E, Gomez N, Rodriguez G, Pak J, Li X, Altheim C, Waksmacki J, McInerney GM, Barmada SJ, Todd PK. Stress granule formation helps to mitigate neurodegeneration. Nucleic Acids Res 2024; 52:9745-9759. [PMID: 39106168 PMCID: PMC11381325 DOI: 10.1093/nar/gkae655] [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: 11/10/2023] [Revised: 05/28/2024] [Accepted: 07/17/2024] [Indexed: 08/09/2024] Open
Abstract
Cellular stress pathways that inhibit translation initiation lead to transient formation of cytoplasmic RNA/protein complexes known as stress granules. Many of the proteins found within stress granules and the dynamics of stress granule formation and dissolution are implicated in neurodegenerative disease. Whether stress granule formation is protective or harmful in neurodegenerative conditions is not known. To address this, we took advantage of the alphavirus protein nsP3, which selectively binds dimers of the central stress granule nucleator protein G3BP and markedly reduces stress granule formation without directly impacting the protein translational inhibitory pathways that trigger stress granule formation. In Drosophila and rodent neurons, reducing stress granule formation with nsP3 had modest impacts on lifespan even in the setting of serial stress pathway induction. In contrast, reducing stress granule formation in models of ataxia, amyotrophic lateral sclerosis and frontotemporal dementia largely exacerbated disease phenotypes. These data support a model whereby stress granules mitigate, rather than promote, neurodegenerative cascades.
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Affiliation(s)
- M Rebecca Glineburg
- Biological Sciences, Schmid College of Science and Technology, Chapman University, 1 University Drive, Orange, CA 92866, USA
- Department of Neurology, University of Michigan, 109 Zina Pitcher Place, BSRB48109-2200, Ann Arbor, MI 4005, USA
| | - Evrim Yildirim
- Department of Neurology, University of Michigan, 109 Zina Pitcher Place, BSRB48109-2200, Ann Arbor, MI 4005, USA
| | - Nicolas Gomez
- Department of Neurology, University of Michigan, 109 Zina Pitcher Place, BSRB48109-2200, Ann Arbor, MI 4005, USA
- Cell and Molecular Biology Graduate Program, University of Michigan, Ann Arbor, MI, USA
| | - Genesis Rodriguez
- Department of Neurology, University of Michigan, 109 Zina Pitcher Place, BSRB48109-2200, Ann Arbor, MI 4005, USA
- Neuroscience Graduate Program, University of Michigan, Ann Arbor, MI, USA
| | - Jaclyn Pak
- Biological Sciences, Schmid College of Science and Technology, Chapman University, 1 University Drive, Orange, CA 92866, USA
| | - Xingli Li
- Department of Neurology, University of Michigan, 109 Zina Pitcher Place, BSRB48109-2200, Ann Arbor, MI 4005, USA
| | - Christopher Altheim
- Department of Neurology, University of Michigan, 109 Zina Pitcher Place, BSRB48109-2200, Ann Arbor, MI 4005, USA
| | - Jacob Waksmacki
- Department of Neurology, University of Michigan, 109 Zina Pitcher Place, BSRB48109-2200, Ann Arbor, MI 4005, USA
| | - Gerald M McInerney
- Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm 17165, Sweden
| | - Sami J Barmada
- Department of Neurology, University of Michigan, 109 Zina Pitcher Place, BSRB48109-2200, Ann Arbor, MI 4005, USA
| | - Peter K Todd
- Department of Neurology, University of Michigan, 109 Zina Pitcher Place, BSRB48109-2200, Ann Arbor, MI 4005, USA
- Veterans Affairs Medical Center, Ann Arbor, MI, USA
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Hok-A-Hin YS, Vermunt L, Peeters CFW, van der Ende EL, de Boer SCM, Meeter LH, van Swieten JC, Hu WT, Lleó A, Alcolea D, Engelborghs S, Sieben A, Chen-Plotkin A, Irwin DJ, van der Flier WM, Pijnenburg YAL, Teunissen CE, Del Campo M. Large-scale CSF proteome profiling identifies biomarkers for accurate diagnosis of Frontotemporal Dementia. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.08.19.24312100. [PMID: 39228745 PMCID: PMC11370532 DOI: 10.1101/2024.08.19.24312100] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 09/05/2024]
Abstract
Diagnosis of Frontotemporal dementia (FTD) and the specific underlying neuropathologies (frontotemporal lobar degeneration; FTLD- Tau and FTLD-TDP) is challenging, and thus fluid biomarkers are needed to improve diagnostic accuracy. We used proximity extension assays to analyze 665 proteins in cerebrospinal fluid (CSF) samples from a multicenter cohort including patients with FTD (n = 189), Alzheimer's Disease dementia (AD; n = 232), and cognitively unimpaired individuals (n = 196). In a subset, FTLD neuropathology was determined based on phenotype or genotype (FTLD-Tau = 87 and FTLD-TDP = 68). Forty three proteins were differentially regulated in FTD compared to controls and AD, reflecting axon development, regulation of synapse assembly, and cell-cell adhesion mediator activity pathways. Classification analysis identified a 14- and 13-CSF protein panel that discriminated FTD from controls (AUC: 0.96) or AD (AUC: 0.91). Custom multiplex panels confirmed the highly accurate discrimination between FTD and controls (AUCs > 0.96) or AD (AUCs > 0.88) in three validation cohorts, including one with autopsy confirmation (AUCs > 0.90). Six proteins were differentially regulated between FTLD-TDP and FTLD-Tau, but no reproducible classification model could be generated (AUC: 0.80). Overall, this study introduces novel FTD-specific biomarker panels with potential use in diagnostic setting.
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Affiliation(s)
- Yanaika S Hok-A-Hin
- Neurochemistry Laboratory, Department of Laboratory Medicine, Amsterdam Neuroscience, VU University Medical Center, Amsterdam UMC, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
| | - Lisa Vermunt
- Neurochemistry Laboratory, Department of Laboratory Medicine, Amsterdam Neuroscience, VU University Medical Center, Amsterdam UMC, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
- Alzheimer Center and Department of Neurology, Amsterdam Neuroscience, VU University Medical Center, Amsterdam UMC, The Netherlands
| | - Carel F W Peeters
- Mathematical & Statistical Methods group - Biometris, Wageningen University & Research, Wageningen, The Netherlands
| | - Emma L van der Ende
- Neurochemistry Laboratory, Department of Laboratory Medicine, Amsterdam Neuroscience, VU University Medical Center, Amsterdam UMC, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
| | - Sterre C M de Boer
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
- Alzheimer Center and Department of Neurology, Amsterdam Neuroscience, VU University Medical Center, Amsterdam UMC, The Netherlands
- School of Psychology and Brain & Mind Centre, The University of Sydney, Sydney, Australia
| | - Lieke H Meeter
- Alzheimer center and department of Neurology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - John C van Swieten
- Alzheimer center and department of Neurology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - William T Hu
- Department of Neurology, Center for Neurodegenerative Diseases Research, Emory University School of Medicine, Atlanta, USA
| | - Alberto Lleó
- Department of Neurology, Institut d'Investigacions Biomèdiques Sant Pau (IIB SANT PAU) - Hospital de Sant Pau, Universitat Autònoma de Barcelona, Hospital de la Santa Creu i Sant Pau, Barcelona, Catalunya, Spain
- Center of Biomedical Investigation Network for Neurodegenerative Diseases (CIBERNED), Madrid, Spain
| | - Daniel Alcolea
- Department of Neurology, Institut d'Investigacions Biomèdiques Sant Pau (IIB SANT PAU) - Hospital de Sant Pau, Universitat Autònoma de Barcelona, Hospital de la Santa Creu i Sant Pau, Barcelona, Catalunya, Spain
- Center of Biomedical Investigation Network for Neurodegenerative Diseases (CIBERNED), Madrid, Spain
| | - Sebastiaan Engelborghs
- Reference Center for Biological Markers of Dementia (BIODEM), Department of Biomedical Sciences, University of Antwerp, Antwerp, Belgium
- Vrije Universiteit Brussel, Center for Neurosciences (C4N), Neuroprotection and Neuromodulation Research Group (NEUR), Brussels, Belgium
- Universitair Ziekenhuis Brussel, Department of Neurology, Brussels, Belgium
| | - Anne Sieben
- Lab of neuropathology, Neurobiobank, Institute Born-Bunge, Antwerp University, Edegem, Belgium
| | - Alice Chen-Plotkin
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - David J Irwin
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Wiesje M van der Flier
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
- Alzheimer Center and Department of Neurology, Amsterdam Neuroscience, VU University Medical Center, Amsterdam UMC, The Netherlands
| | - Yolande A L Pijnenburg
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
- Alzheimer Center and Department of Neurology, Amsterdam Neuroscience, VU University Medical Center, Amsterdam UMC, The Netherlands
| | - Charlotte E Teunissen
- Neurochemistry Laboratory, Department of Laboratory Medicine, Amsterdam Neuroscience, VU University Medical Center, Amsterdam UMC, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
| | - Marta Del Campo
- Neurochemistry Laboratory, Department of Laboratory Medicine, Amsterdam Neuroscience, VU University Medical Center, Amsterdam UMC, The Netherlands
- Barcelonaßeta Brain Research Center, Pasqual Maragall Foundation, Barcelona, Spain
- Departamento de Ciencias Farmacéuticas y de la Salud, Facultad de Farmacia, Universidad San PabloCEU, CEU Universities, Madrid, Spain
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Exertier C, Antonelli L, Fiorillo A, Bernardini R, Colotti B, Ilari A, Colotti G. Sorcin in Cancer Development and Chemotherapeutic Drug Resistance. Cancers (Basel) 2024; 16:2810. [PMID: 39199583 PMCID: PMC11352664 DOI: 10.3390/cancers16162810] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2024] [Revised: 07/31/2024] [Accepted: 08/08/2024] [Indexed: 09/01/2024] Open
Abstract
SOluble Resistance-related Calcium-binding proteIN (sorcin) earned its name due to its co-amplification with ABCB1 in multidrug-resistant cells. Initially thought to be an accidental consequence of this co-amplification, recent research indicates that sorcin plays a more active role as an oncoprotein, significantly impacting multidrug resistance (MDR). Sorcin is a highly expressed calcium-binding protein, often overproduced in human tumors and multidrug-resistant cancers, and is a promising novel MDR marker. In tumors, sorcin levels inversely correlate with both patient response to chemotherapy and overall prognosis. Multidrug-resistant cell lines consistently exhibit higher sorcin expression compared to their parental counterparts. Furthermore, sorcin overexpression via gene transfection enhances drug resistance to various chemotherapeutic drugs across numerous cancer lines. Conversely, silencing sorcin expression reverses drug resistance in many cell lines. Sorcin participates in several mechanisms of MDR, including drug efflux, drug sequestering, cell death inhibition, gene amplification, epithelial-to-mesenchymal transition, angiogenesis, and metastasis. The present review focuses on the structure and function of sorcin, on sorcin's role in cancer and drug resistance, and on the approaches aimed at targeting sorcin.
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Affiliation(s)
- Cécile Exertier
- Institute of Molecular Biology and Pathology, Italian National Research Council (IBPM-CNR), c/o Department Biochemical Sciences, Sapienza University of Rome, Ed. CU027, P.le A.Moro 5, 00185 Rome, Italy; (C.E.); (A.I.)
| | - Lorenzo Antonelli
- Department Biochemical Sciences, Sapienza University of Rome, Ed. CU027, P.le A.Moro 5, 00185 Rome, Italy; (L.A.); (A.F.)
| | - Annarita Fiorillo
- Department Biochemical Sciences, Sapienza University of Rome, Ed. CU027, P.le A.Moro 5, 00185 Rome, Italy; (L.A.); (A.F.)
| | - Roberta Bernardini
- Department of Clinical Sciences and Translational Medicine, University of Rome “Tor Vergata”, Via Montpellier 1, 00133 Rome, Italy;
| | - Beatrice Colotti
- Child Neuropsychiatry Unit, Child Neuropsychiatry School, University Hospital of Tor Vergata, Via Montpellier 1, 00133 Rome, Italy;
| | - Andrea Ilari
- Institute of Molecular Biology and Pathology, Italian National Research Council (IBPM-CNR), c/o Department Biochemical Sciences, Sapienza University of Rome, Ed. CU027, P.le A.Moro 5, 00185 Rome, Italy; (C.E.); (A.I.)
| | - Gianni Colotti
- Institute of Molecular Biology and Pathology, Italian National Research Council (IBPM-CNR), c/o Department Biochemical Sciences, Sapienza University of Rome, Ed. CU027, P.le A.Moro 5, 00185 Rome, Italy; (C.E.); (A.I.)
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Wang HLV, Xiang JF, Yuan C, Veire AM, Gendron TF, Murray ME, Tansey MG, Hu J, Gearing M, Glass JD, Jin P, Corces VG, McEachin ZT. pTDP-43 levels correlate with cell type specific molecular alterations in the prefrontal cortex of C9orf72 ALS/FTD patients. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.01.12.523820. [PMID: 36711601 PMCID: PMC9882184 DOI: 10.1101/2023.01.12.523820] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
Repeat expansions in the C9orf72 gene are the most common genetic cause of amyotrophic lateral sclerosis and familial frontotemporal dementia (ALS/FTD). To identify molecular defects that take place in the dorsolateral frontal cortex of patients with C9orf72 ALS/FTD, we compared healthy controls with C9orf72 ALS/FTD donor samples staged based on the levels of cortical phosphorylated TAR DNA binding protein (pTDP-43), a neuropathological hallmark of disease progression. We identified distinct molecular changes in different cell types that take place during FTD development. Loss of neurosurveillance microglia and activation of the complement cascade take place early, when pTDP-43 aggregates are absent or very low, and become more pronounced in late stages, suggesting an initial involvement of microglia in disease progression. Reduction of layer 2-3 cortical projection neurons with high expression of CUX2/LAMP5 also occurs early, and the reduction becomes more pronounced as pTDP-43 accumulates. Several unique features were observed only in samples with high levels of pTDP-43, including global alteration of chromatin accessibility in oligodendrocytes, microglia, and astrocytes; higher ratios of premature oligodendrocytes; increased levels of the noncoding RNA NEAT1 in astrocytes and neurons, and higher amount of phosphorylated ribosomal protein S6. Our findings reveal previously unknown progressive functional changes in major cell types found in the frontal cortex of C9orf72 ALS/FTD patients that shed light on the mechanisms underlying the pathology of this disease.
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Affiliation(s)
- Hsiao-Lin V. Wang
- Department of Human Genetics, Emory University School of Medicine, Atlanta, GA 30322
- Emory Center for Neurodegenerative Diseases, Emory University School of Medicine, Atlanta, GA 30322
| | - Jian-Feng Xiang
- Department of Human Genetics, Emory University School of Medicine, Atlanta, GA 30322
| | - Chenyang Yuan
- Department of Human Genetics, Emory University School of Medicine, Atlanta, GA 30322
- Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA, 30322, USA
| | - Austin M. Veire
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL 32224
| | | | | | - Malú G. Tansey
- Center for Translational Research in Neurodegenerative Disease, University of Florida, Gainesville, FL 32607
- Norman Fixel Institute for Neurological Diseases, University of Florida, Gainesville, FL 32607
| | - Jian Hu
- Department of Human Genetics, Emory University School of Medicine, Atlanta, GA 30322
- Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA, 30322, USA
| | - Marla Gearing
- Emory Center for Neurodegenerative Diseases, Emory University School of Medicine, Atlanta, GA 30322
- Department of Neurology, Emory University School of Medicine, Atlanta, GA 30322
- Department of Pathology and Laboratory Medicine, Emory University School of Medicine, Atlanta, GA 30322
| | - Jonathan D. Glass
- Emory Center for Neurodegenerative Diseases, Emory University School of Medicine, Atlanta, GA 30322
- Department of Neurology, Emory University School of Medicine, Atlanta, GA 30322
| | - Peng Jin
- Department of Human Genetics, Emory University School of Medicine, Atlanta, GA 30322
- Emory Center for Neurodegenerative Diseases, Emory University School of Medicine, Atlanta, GA 30322
| | - Victor G. Corces
- Department of Human Genetics, Emory University School of Medicine, Atlanta, GA 30322
- Emory Center for Neurodegenerative Diseases, Emory University School of Medicine, Atlanta, GA 30322
| | - Zachary T. McEachin
- Department of Human Genetics, Emory University School of Medicine, Atlanta, GA 30322
- Emory Center for Neurodegenerative Diseases, Emory University School of Medicine, Atlanta, GA 30322
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Caldi Gomes L, Hänzelmann S, Hausmann F, Khatri R, Oller S, Parvaz M, Tzeplaeff L, Pasetto L, Gebelin M, Ebbing M, Holzapfel C, Columbro SF, Scozzari S, Knöferle J, Cordts I, Demleitner AF, Deschauer M, Dufke C, Sturm M, Zhou Q, Zelina P, Sudria-Lopez E, Haack TB, Streb S, Kuzma-Kozakiewicz M, Edbauer D, Pasterkamp RJ, Laczko E, Rehrauer H, Schlapbach R, Carapito C, Bonetto V, Bonn S, Lingor P. Multiomic ALS signatures highlight subclusters and sex differences suggesting the MAPK pathway as therapeutic target. Nat Commun 2024; 15:4893. [PMID: 38849340 PMCID: PMC11161513 DOI: 10.1038/s41467-024-49196-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Accepted: 05/28/2024] [Indexed: 06/09/2024] Open
Abstract
Amyotrophic lateral sclerosis (ALS) is a debilitating motor neuron disease and lacks effective disease-modifying treatments. This study utilizes a comprehensive multiomic approach to investigate the early and sex-specific molecular mechanisms underlying ALS. By analyzing the prefrontal cortex of 51 patients with sporadic ALS and 50 control subjects, alongside four transgenic mouse models (C9orf72-, SOD1-, TDP-43-, and FUS-ALS), we have uncovered significant molecular alterations associated with the disease. Here, we show that males exhibit more pronounced changes in molecular pathways compared to females. Our integrated analysis of transcriptomes, (phospho)proteomes, and miRNAomes also identified distinct ALS subclusters in humans, characterized by variations in immune response, extracellular matrix composition, mitochondrial function, and RNA processing. The molecular signatures of human subclusters were reflected in specific mouse models. Our study highlighted the mitogen-activated protein kinase (MAPK) pathway as an early disease mechanism. We further demonstrate that trametinib, a MAPK inhibitor, has potential therapeutic benefits in vitro and in vivo, particularly in females, suggesting a direction for developing targeted ALS treatments.
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Affiliation(s)
- Lucas Caldi Gomes
- Technical University of Munich, School of Medicine, rechts der Isar Hospital, Clinical Department of Neurology, Munich, Germany
| | - Sonja Hänzelmann
- III. Department of Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Center for Biomedical AI, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Institute of Medical Systems Biology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Fabian Hausmann
- Center for Biomedical AI, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Institute of Medical Systems Biology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Robin Khatri
- Center for Biomedical AI, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Institute of Medical Systems Biology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Sergio Oller
- Center for Biomedical AI, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Institute of Medical Systems Biology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Mojan Parvaz
- Technical University of Munich, School of Medicine, rechts der Isar Hospital, Clinical Department of Neurology, Munich, Germany
| | - Laura Tzeplaeff
- Technical University of Munich, School of Medicine, rechts der Isar Hospital, Clinical Department of Neurology, Munich, Germany
| | - Laura Pasetto
- Research Center for ALS, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy
| | - Marie Gebelin
- Laboratoire de Spectrométrie de Masse Bio-Organique, Université de Strasbourg, Infrastructure Nationale de Protéomique, Strasbourg, France
| | - Melanie Ebbing
- Center for Biomedical AI, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Institute of Medical Systems Biology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Constantin Holzapfel
- Center for Biomedical AI, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Institute of Medical Systems Biology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | | | - Serena Scozzari
- Research Center for ALS, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy
| | - Johanna Knöferle
- Technical University of Munich, School of Medicine, rechts der Isar Hospital, Clinical Department of Neurology, Munich, Germany
| | - Isabell Cordts
- Technical University of Munich, School of Medicine, rechts der Isar Hospital, Clinical Department of Neurology, Munich, Germany
| | - Antonia F Demleitner
- Technical University of Munich, School of Medicine, rechts der Isar Hospital, Clinical Department of Neurology, Munich, Germany
| | - Marcus Deschauer
- Technical University of Munich, School of Medicine, rechts der Isar Hospital, Clinical Department of Neurology, Munich, Germany
| | - Claudia Dufke
- Institute of Medical Genetics and Applied Genomics, University of Tübingen, Tübingen, Germany
| | - Marc Sturm
- Institute of Medical Genetics and Applied Genomics, University of Tübingen, Tübingen, Germany
| | - Qihui Zhou
- German Center for Neurodegenerative Diseases (DZNE), München, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Pavol Zelina
- Department of Translational Neuroscience, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Emma Sudria-Lopez
- Department of Translational Neuroscience, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Tobias B Haack
- Institute of Medical Genetics and Applied Genomics, University of Tübingen, Tübingen, Germany
- Center for Rare Diseases, University of Tübingen, Tübingen, Germany
| | - Sebastian Streb
- Functional Genomics Center Zürich, ETH Zürich and University of Zürich, Zürich, Switzerland
| | | | - Dieter Edbauer
- German Center for Neurodegenerative Diseases (DZNE), München, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - R Jeroen Pasterkamp
- Department of Translational Neuroscience, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Endre Laczko
- Functional Genomics Center Zürich, ETH Zürich and University of Zürich, Zürich, Switzerland
| | - Hubert Rehrauer
- Functional Genomics Center Zürich, ETH Zürich and University of Zürich, Zürich, Switzerland
| | - Ralph Schlapbach
- Functional Genomics Center Zürich, ETH Zürich and University of Zürich, Zürich, Switzerland
| | - Christine Carapito
- Laboratoire de Spectrométrie de Masse Bio-Organique, Université de Strasbourg, Infrastructure Nationale de Protéomique, Strasbourg, France
| | - Valentina Bonetto
- Research Center for ALS, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy
| | - Stefan Bonn
- Center for Biomedical AI, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
- Institute of Medical Systems Biology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
| | - Paul Lingor
- Technical University of Munich, School of Medicine, rechts der Isar Hospital, Clinical Department of Neurology, Munich, Germany.
- German Center for Neurodegenerative Diseases (DZNE), München, Germany.
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany.
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8
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Castelli L, Vasta R, Allen SP, Waller R, Chiò A, Traynor BJ, Kirby J. From use of omics to systems biology: Identifying therapeutic targets for amyotrophic lateral sclerosis. INTERNATIONAL REVIEW OF NEUROBIOLOGY 2024; 176:209-268. [PMID: 38802176 DOI: 10.1016/bs.irn.2024.02.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/29/2024]
Abstract
Amyotrophic lateral sclerosis (ALS) is a heterogeneous progressive neurodegenerative disorder with available treatments such as riluzole and edaravone extending survival by an average of 3-6 months. The lack of highly effective, widely available therapies reflects the complexity of ALS. Omics technologies, including genomics, transcriptomic and proteomics have contributed to the identification of biological pathways dysregulated and targeted by therapeutic strategies in preclinical and clinical trials. Integrating clinical, environmental and neuroimaging information with omics data and applying a systems biology approach can further improve our understanding of the disease with the potential to stratify patients and provide more personalised medicine. This chapter will review the omics technologies that contribute to a systems biology approach and how these components have assisted in identifying therapeutic targets. Current strategies, including the use of genetic screening and biosampling in clinical trials, as well as the future application of additional technological advances, will also be discussed.
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Affiliation(s)
- Lydia Castelli
- Sheffield Institute for Translational Neuroscience, School of Medicine and Population Health, University of Sheffield, Sheffield, United Kingdom; Neuroscience Institute, University of Sheffield, Sheffield, United Kingdom
| | - Rosario Vasta
- ALS Expert Center,'Rita Levi Montalcini' Department of Neuroscience, University of Turin, Turin, Italy; Neuromuscular Diseases Research Section, National Institute on Aging, National Institutes of Health, Bethesda, MD, United States
| | - Scott P Allen
- Sheffield Institute for Translational Neuroscience, School of Medicine and Population Health, University of Sheffield, Sheffield, United Kingdom; Neuroscience Institute, University of Sheffield, Sheffield, United Kingdom
| | - Rachel Waller
- Sheffield Institute for Translational Neuroscience, School of Medicine and Population Health, University of Sheffield, Sheffield, United Kingdom; Neuroscience Institute, University of Sheffield, Sheffield, United Kingdom
| | - Adriano Chiò
- ALS Expert Center,'Rita Levi Montalcini' Department of Neuroscience, University of Turin, Turin, Italy; Neurology 1, Azienda Ospedaliero-Universitaria Città della Salute e della Scienza of Turin, Turin, Italy
| | - Bryan J Traynor
- Neuromuscular Diseases Research Section, National Institute on Aging, National Institutes of Health, Bethesda, MD, United States; RNA Therapeutics Laboratory, National Center for Advancing Translational Sciences, NIH, Rockville, MD, United States; National Institute of Neurological Disorders and Stroke, Bethesda, MD, United States; Department of Neurology, Johns Hopkins University Medical Center, Baltimore, MD, United States; Reta Lila Weston Institute, UCL Queen Square Institute of Neurology,University College London, London, United Kingdom
| | - Janine Kirby
- Sheffield Institute for Translational Neuroscience, School of Medicine and Population Health, University of Sheffield, Sheffield, United Kingdom; Neuroscience Institute, University of Sheffield, Sheffield, United Kingdom.
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9
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Kumar P, Goettemoeller AM, Espinosa-Garcia C, Tobin BR, Tfaily A, Nelson RS, Natu A, Dammer EB, Santiago JV, Malepati S, Cheng L, Xiao H, Duong DD, Seyfried NT, Wood LB, Rowan MJM, Rangaraju S. Native-state proteomics of Parvalbumin interneurons identifies unique molecular signatures and vulnerabilities to early Alzheimer's pathology. Nat Commun 2024; 15:2823. [PMID: 38561349 PMCID: PMC10985119 DOI: 10.1038/s41467-024-47028-7] [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: 08/09/2023] [Accepted: 03/18/2024] [Indexed: 04/04/2024] Open
Abstract
Dysfunction in fast-spiking parvalbumin interneurons (PV-INs) may represent an early pathophysiological perturbation in Alzheimer's Disease (AD). Defining early proteomic alterations in PV-INs can provide key biological and translationally-relevant insights. We used cell-type-specific in-vivo biotinylation of proteins (CIBOP) coupled with mass spectrometry to obtain native-state PV-IN proteomes. PV-IN proteomic signatures include high metabolic and translational activity, with over-representation of AD-risk and cognitive resilience-related proteins. In bulk proteomes, PV-IN proteins were associated with cognitive decline in humans, and with progressive neuropathology in humans and the 5xFAD mouse model of Aβ pathology. PV-IN CIBOP in early stages of Aβ pathology revealed signatures of increased mitochondria and metabolism, synaptic and cytoskeletal disruption and decreased mTOR signaling, not apparent in whole-brain proteomes. Furthermore, we demonstrated pre-synaptic defects in PV-to-excitatory neurotransmission, validating our proteomic findings. Overall, in this study we present native-state proteomes of PV-INs, revealing molecular insights into their unique roles in cognitive resiliency and AD pathogenesis.
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Affiliation(s)
- Prateek Kumar
- Department of Neurology, Emory University School of Medicine, Atlanta, GA, 30322, USA
- Center for Neurodegenerative Disease, Emory University School of Medicine, Atlanta, USA
- 3 Department of Neurology, Yale University School of Medicine, New Haven, CT, 06510, USA
| | - Annie M Goettemoeller
- Center for Neurodegenerative Disease, Emory University School of Medicine, Atlanta, USA
- Neuroscience Graduate Program, Laney Graduate School, Emory University, Atlanta, USA
| | - Claudia Espinosa-Garcia
- Department of Neurology, Emory University School of Medicine, Atlanta, GA, 30322, USA
- 3 Department of Neurology, Yale University School of Medicine, New Haven, CT, 06510, USA
| | - Brendan R Tobin
- Georgia W. Woodruff School of Mechanical Engineering, Parker H. Petit Institute for Bioengineering and Bioscience, and Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA, 30322, USA
| | - Ali Tfaily
- 3 Department of Neurology, Yale University School of Medicine, New Haven, CT, 06510, USA
| | - Ruth S Nelson
- 3 Department of Neurology, Yale University School of Medicine, New Haven, CT, 06510, USA
| | - Aditya Natu
- Department of Neurology, Emory University School of Medicine, Atlanta, GA, 30322, USA
| | - Eric B Dammer
- Center for Neurodegenerative Disease, Emory University School of Medicine, Atlanta, USA
- Department of Biochemistry, Emory University, Atlanta, GA, 30322, USA
| | - Juliet V Santiago
- Department of Neurology, Emory University School of Medicine, Atlanta, GA, 30322, USA
- Center for Neurodegenerative Disease, Emory University School of Medicine, Atlanta, USA
- Neuroscience Graduate Program, Laney Graduate School, Emory University, Atlanta, USA
| | - Sneha Malepati
- Center for Neurodegenerative Disease, Emory University School of Medicine, Atlanta, USA
- Department of Cell Biology, Emory University School of Medicine, Atlanta, GA, 30322, USA
| | - Lihong Cheng
- Department of Neurology, Emory University School of Medicine, Atlanta, GA, 30322, USA
- Center for Neurodegenerative Disease, Emory University School of Medicine, Atlanta, USA
| | - Hailian Xiao
- Department of Neurology, Emory University School of Medicine, Atlanta, GA, 30322, USA
- Center for Neurodegenerative Disease, Emory University School of Medicine, Atlanta, USA
| | - Duc D Duong
- Center for Neurodegenerative Disease, Emory University School of Medicine, Atlanta, USA
- Department of Biochemistry, Emory University, Atlanta, GA, 30322, USA
| | - Nicholas T Seyfried
- Department of Neurology, Emory University School of Medicine, Atlanta, GA, 30322, USA
- Center for Neurodegenerative Disease, Emory University School of Medicine, Atlanta, USA
- Department of Biochemistry, Emory University, Atlanta, GA, 30322, USA
| | - Levi B Wood
- Georgia W. Woodruff School of Mechanical Engineering, Parker H. Petit Institute for Bioengineering and Bioscience, and Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA, 30322, USA
- School of Chemical and Biological Engineering, GeoInsrgia titute of Technology, Atlanta, GA, 30322, USA
| | - Matthew J M Rowan
- Center for Neurodegenerative Disease, Emory University School of Medicine, Atlanta, USA.
- Department of Cell Biology, Emory University School of Medicine, Atlanta, GA, 30322, USA.
| | - Srikant Rangaraju
- Department of Neurology, Emory University School of Medicine, Atlanta, GA, 30322, USA.
- Center for Neurodegenerative Disease, Emory University School of Medicine, Atlanta, USA.
- 3 Department of Neurology, Yale University School of Medicine, New Haven, CT, 06510, USA.
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10
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Saloner R, Staffaroni A, Dammer E, Johnson ECB, Paolillo E, Wise A, Heuer H, Forsberg L, Lago AL, Webb J, Vogel J, Santillo A, Hansson O, Kramer J, Miller B, Li J, Loureiro J, Sivasankaran R, Worringer K, Seyfried N, Yokoyama J, Seeley W, Spina S, Grinberg L, VandeVrede L, Ljubenkov P, Bayram E, Bozoki A, Brushaber D, Considine C, Day G, Dickerson B, Domoto-Reilly K, Faber K, Galasko D, Geschwind D, Ghoshal N, Graff-Radford N, Hales C, Honig L, Hsiung GY, Huey E, Kornak J, Kremers W, Lapid M, Lee S, Litvan I, McMillan C, Mendez M, Miyagawa T, Pantelyat A, Pascual B, Paulson H, Petrucelli L, Pressman P, Ramos E, Rascovsky K, Roberson E, Savica R, Snyder A, Sullivan AC, Tartaglia C, Vandebergh M, Boeve B, Rosen H, Rojas J, Boxer A, Casaletto K. Large-scale network analysis of the cerebrospinal fluid proteome identifies molecular signatures of frontotemporal lobar degeneration. RESEARCH SQUARE 2024:rs.3.rs-4103685. [PMID: 38585969 PMCID: PMC10996789 DOI: 10.21203/rs.3.rs-4103685/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/09/2024]
Abstract
The pathophysiological mechanisms driving disease progression of frontotemporal lobar degeneration (FTLD) and corresponding biomarkers are not fully understood. We leveraged aptamer-based proteomics (> 4,000 proteins) to identify dysregulated communities of co-expressed cerebrospinal fluid proteins in 116 adults carrying autosomal dominant FTLD mutations (C9orf72, GRN, MAPT) compared to 39 noncarrier controls. Network analysis identified 31 protein co-expression modules. Proteomic signatures of genetic FTLD clinical severity included increased abundance of RNA splicing (particularly in C9orf72 and GRN) and extracellular matrix (particularly in MAPT) modules, as well as decreased abundance of synaptic/neuronal and autophagy modules. The generalizability of genetic FTLD proteomic signatures was tested and confirmed in independent cohorts of 1) sporadic progressive supranuclear palsy-Richardson syndrome and 2) frontotemporal dementia spectrum syndromes. Network-based proteomics hold promise for identifying replicable molecular pathways in adults living with FTLD. 'Hub' proteins driving co-expression of affected modules warrant further attention as candidate biomarkers and therapeutic targets.
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Affiliation(s)
| | | | | | | | | | - Amy Wise
- University of California, San Francisco
| | | | | | | | | | | | | | | | | | | | - Jingyao Li
- Novartis Institutes for Biomedical Research, Inc
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Suzee Lee
- University of California, San Francisco
| | | | - Corey McMillan
- Department of Neurology, University of Pennsylvania, Philadelphia, USA
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Adam Boxer
- Memory and Aging Center, Department of Neurology, University of California, San Francisco
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11
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San Gil R, Pascovici D, Venturato J, Brown-Wright H, Mehta P, Madrid San Martin L, Wu J, Luan W, Chui YK, Bademosi AT, Swaminathan S, Naidoo S, Berning BA, Wright AL, Keating SS, Curtis MA, Faull RLM, Lee JD, Ngo ST, Lee A, Morsch M, Chung RS, Scotter E, Lisowski L, Mirzaei M, Walker AK. A transient protein folding response targets aggregation in the early phase of TDP-43-mediated neurodegeneration. Nat Commun 2024; 15:1508. [PMID: 38374041 PMCID: PMC10876645 DOI: 10.1038/s41467-024-45646-9] [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: 09/26/2023] [Accepted: 01/31/2024] [Indexed: 02/21/2024] Open
Abstract
Understanding the mechanisms that drive TDP-43 pathology is integral to combating amyotrophic lateral sclerosis (ALS), frontotemporal lobar degeneration (FTLD) and other neurodegenerative diseases. Here we generated a longitudinal quantitative proteomic map of the cortex from the cytoplasmic TDP-43 rNLS8 mouse model of ALS and FTLD, and developed a complementary open-access webtool, TDP-map ( https://shiny.rcc.uq.edu.au/TDP-map/ ). We identified distinct protein subsets enriched for diverse biological pathways with temporal alterations in protein abundance, including increases in protein folding factors prior to disease onset. This included increased levels of DnaJ homolog subfamily B member 5, DNAJB5, which also co-localized with TDP-43 pathology in diseased human motor cortex. DNAJB5 over-expression decreased TDP-43 aggregation in cell and cortical neuron cultures, and knockout of Dnajb5 exacerbated motor impairments caused by AAV-mediated cytoplasmic TDP-43 expression in mice. Together, these findings reveal molecular mechanisms at distinct stages of ALS and FTLD progression and suggest that protein folding factors could be protective in neurodegenerative diseases.
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Affiliation(s)
- Rebecca San Gil
- Neurodegeneration Pathobiology Laboratory, Clem Jones Centre for Ageing Dementia Research, Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia
| | - Dana Pascovici
- Insight Stats, Croydon Park, NSW, Australia
- Macquarie Medical School, Faculty of Medicine, Health and Human Sciences, Macquarie University, North Ryde Sydney, NSW, Australia
| | - Juliana Venturato
- Neurodegeneration Pathobiology Laboratory, Clem Jones Centre for Ageing Dementia Research, Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia
| | - Heledd Brown-Wright
- Neurodegeneration Pathobiology Laboratory, Clem Jones Centre for Ageing Dementia Research, Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia
| | - Prachi Mehta
- Neurodegeneration Pathobiology Laboratory, Clem Jones Centre for Ageing Dementia Research, Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia
- Motor Neuron Disease Research Centre, Macquarie Medical School, Macquarie University, Sydney, NSW, Australia
| | - Lidia Madrid San Martin
- Neurodegeneration Pathobiology Laboratory, Clem Jones Centre for Ageing Dementia Research, Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia
| | - Jemma Wu
- Macquarie Medical School, Faculty of Medicine, Health and Human Sciences, Macquarie University, North Ryde Sydney, NSW, Australia
| | - Wei Luan
- Neurodegeneration Pathobiology Laboratory, Clem Jones Centre for Ageing Dementia Research, Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia
| | - Yi Kit Chui
- Neurodegeneration Pathobiology Laboratory, Clem Jones Centre for Ageing Dementia Research, Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia
| | - Adekunle T Bademosi
- Neurodegeneration Pathobiology Laboratory, Clem Jones Centre for Ageing Dementia Research, Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia
| | - Shilpa Swaminathan
- Neurodegeneration Pathobiology Laboratory, Clem Jones Centre for Ageing Dementia Research, Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia
| | - Serey Naidoo
- School of Biological Sciences, University of Auckland, Auckland, New Zealand
- Centre for Brain Research, University of Auckland, Auckland, New Zealand
| | - Britt A Berning
- Neurodegeneration Pathobiology Laboratory, Clem Jones Centre for Ageing Dementia Research, Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia
| | - Amanda L Wright
- Neurodegeneration Pathobiology Laboratory, Clem Jones Centre for Ageing Dementia Research, Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia
| | - Sean S Keating
- Neurodegeneration Pathobiology Laboratory, Clem Jones Centre for Ageing Dementia Research, Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia
| | - Maurice A Curtis
- Centre for Brain Research, University of Auckland, Auckland, New Zealand
- Department of Anatomy and Medical Imaging, University of Auckland, Auckland, New Zealand
| | - Richard L M Faull
- Centre for Brain Research, University of Auckland, Auckland, New Zealand
- Department of Anatomy and Medical Imaging, University of Auckland, Auckland, New Zealand
| | - John D Lee
- School of Biomedical Sciences, Faculty of Medicine, The University of Queensland, St Lucia, Brisbane, QLD, Australia
| | - Shyuan T Ngo
- Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, Brisbane, QLD, Australia
| | - Albert Lee
- Motor Neuron Disease Research Centre, Macquarie Medical School, Macquarie University, Sydney, NSW, Australia
| | - Marco Morsch
- Motor Neuron Disease Research Centre, Macquarie Medical School, Macquarie University, Sydney, NSW, Australia
| | - Roger S Chung
- Motor Neuron Disease Research Centre, Macquarie Medical School, Macquarie University, Sydney, NSW, Australia
| | - Emma Scotter
- School of Biological Sciences, University of Auckland, Auckland, New Zealand
- Centre for Brain Research, University of Auckland, Auckland, New Zealand
| | - Leszek Lisowski
- Vector and Genome Engineering Facility, Children's Medical Research Institute, Westmead, NSW, Australia
- Laboratory of Molecular Oncology and Innovative Therapies, Military Institute of Medicine - National Research Institute, Warsaw, Poland
- Translational Vectorology Research Unit, Children's Medical Research Institute, Faculty of Medicine and Health, The University of Sydney, Westmead, NSW, Australia
| | - Mehdi Mirzaei
- Macquarie Medical School, Faculty of Medicine, Health and Human Sciences, Macquarie University, North Ryde Sydney, NSW, Australia
| | - Adam K Walker
- Neurodegeneration Pathobiology Laboratory, Clem Jones Centre for Ageing Dementia Research, Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia.
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12
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Guise AJ, Misal SA, Carson R, Chu JH, Boekweg H, Van Der Watt D, Welsh NC, Truong T, Liang Y, Xu S, Benedetto G, Gagnon J, Payne SH, Plowey ED, Kelly RT. TDP-43-stratified single-cell proteomics of postmortem human spinal motor neurons reveals protein dynamics in amyotrophic lateral sclerosis. Cell Rep 2024; 43:113636. [PMID: 38183652 PMCID: PMC10926001 DOI: 10.1016/j.celrep.2023.113636] [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: 06/07/2023] [Revised: 11/02/2023] [Accepted: 12/14/2023] [Indexed: 01/08/2024] Open
Abstract
A limitation of conventional bulk-tissue proteome studies in amyotrophic lateral sclerosis (ALS) is the confounding of motor neuron (MN) signals by admixed non-MN proteins. Here, we leverage laser capture microdissection and nanoPOTS single-cell mass spectrometry-based proteomics to query changes in protein expression in single MNs from postmortem ALS and control tissues. In a follow-up analysis, we examine the impact of stratification of MNs based on cytoplasmic transactive response DNA-binding protein 43 (TDP-43)+ inclusion pathology on the profiles of 2,238 proteins. We report extensive overlap in differentially abundant proteins identified in ALS MNs with or without overt TDP-43 pathology, suggesting early and sustained dysregulation of cellular respiration, mRNA splicing, translation, and vesicular transport in ALS. Together, these data provide insights into proteome-level changes associated with TDP-43 proteinopathy and begin to demonstrate the utility of pathology-stratified trace sample proteomics for understanding single-cell protein dynamics in human neurologic diseases.
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Affiliation(s)
| | - Santosh A Misal
- Department of Chemistry and Biochemistry, Brigham Young University, Provo, UT 84602, USA
| | - Richard Carson
- Department of Chemistry and Biochemistry, Brigham Young University, Provo, UT 84602, USA
| | | | - Hannah Boekweg
- Biology Department, Brigham Young University, Provo, UT 84602, USA
| | | | | | - Thy Truong
- Department of Chemistry and Biochemistry, Brigham Young University, Provo, UT 84602, USA
| | - Yiran Liang
- Department of Chemistry and Biochemistry, Brigham Young University, Provo, UT 84602, USA
| | | | | | | | - Samuel H Payne
- Biology Department, Brigham Young University, Provo, UT 84602, USA
| | | | - Ryan T Kelly
- Department of Chemistry and Biochemistry, Brigham Young University, Provo, UT 84602, USA.
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13
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Lopina OD, Sidorenko SV, Fedorov DA, Klimanova EA. G-Quadruplexes as Sensors of Intracellular Na+/K + Ratio: Potential Role in Regulation of Transcription and Translation. BIOCHEMISTRY. BIOKHIMIIA 2024; 89:S262-S277. [PMID: 38621755 DOI: 10.1134/s0006297924140153] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/25/2023] [Revised: 11/06/2023] [Accepted: 11/11/2023] [Indexed: 04/17/2024]
Abstract
Data on the structure of G-quadruplexes, noncanonical nucleic acid forms, supporting an idea of their potential participation in regulation of gene expression in response to the change in intracellular Na+i/K+i ratio are considered in the review. Structural variety of G-quadruplexes, role of monovalent cations in formation of this structure, and thermodynamic stability of G-quadruplexes are described. Data on the methods of their identification in the cells and biological functions of these structures are presented. Analysis of information about specific interactions of G-quadruplexes with some proteins was conducted, and their potential participation in the development of some pathological conditions, in particular, cancer and neurodegenerative diseases, is considered. Special attention is given to the plausible role of G-quadruplexes as sensors of intracellular Na+i/K+i ratio, because alteration of this parameter affects folding of G-quadruplexes changing their stability and, thereby, organization of the regulatory elements of nucleic acids. The data presented in the conclusion section demonstrate significant change in the expression of some early response genes under certain physiological conditions of cells and tissues depending on the intracellular Na+i/K+i ratio.
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Affiliation(s)
- Olga D Lopina
- Faculty of Biology, Lomonosov Moscow State University, Moscow, 119234, Russia.
| | | | - Dmitry A Fedorov
- Faculty of Biology, Lomonosov Moscow State University, Moscow, 119234, Russia
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14
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Litvinov VV, Freynd GG. [Clinical and morphologic characterization of Pick's dementia: case report and review of the literature]. Arkh Patol 2024; 86:51-57. [PMID: 39073543 DOI: 10.17116/patol20248604151] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/30/2024]
Abstract
Diseases morphologically characterized by frontotemporal lobar degeneration have relatively recently been considered as a group of frontotemporal dementias. This group is characterized by a tendency to early clinical onset of dementia, common genetic and morphological features, as well as a possible association with diseases such as amyotrophic lateral sclerosis and atypical parkinsonism syndrome. Historically, Pick's dementia (Pick's disease) was described as the first of the frontotemporal dementias, which is morphologically characterized by the presence of argyrophilic Pick's bodies represented by 3R-tau protein in the neurons of the cerebral cortex. Despite the characteristic clinical and morphological picture due to the relative rarity, the diagnosis of Pick's dementia is infrequently made by both clinicians and pathologists. The article presents current data on frontotemporal dementia. A case of Pick's dementia with characteristic clinical manifestations in the form of early onset of behavioral and personality disorders, as well as specific morphological changes in the brain, is described.
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Affiliation(s)
- V V Litvinov
- Perm State Medical University named after academician E.A. Wagner, Perm, Russia
| | - G G Freynd
- Perm State Medical University named after academician E.A. Wagner, Perm, Russia
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15
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Pelaez MC, Desmeules A, Gelon PA, Glasson B, Marcadet L, Rodgers A, Phaneuf D, Pozzi S, Dutchak PA, Julien JP, Sephton CF. Neuronal dysfunction caused by FUSR521G promotes ALS-associated phenotypes that are attenuated by NF-κB inhibition. Acta Neuropathol Commun 2023; 11:182. [PMID: 37974279 PMCID: PMC10652582 DOI: 10.1186/s40478-023-01671-1] [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: 08/04/2023] [Accepted: 10/09/2023] [Indexed: 11/19/2023] Open
Abstract
Amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD) are related neurodegenerative diseases that belong to a common disease spectrum based on overlapping clinical, pathological and genetic evidence. Early pathological changes to the morphology and synapses of affected neuron populations in ALS/FTD suggest a common underlying mechanism of disease that requires further investigation. Fused in sarcoma (FUS) is a DNA/RNA-binding protein with known genetic and pathological links to ALS/FTD. Expression of ALS-linked FUS mutants in mice causes cognitive and motor defects, which correlate with loss of motor neuron dendritic branching and synapses, in addition to other pathological features of ALS/FTD. The role of ALS-linked FUS mutants in causing ALS/FTD-associated disease phenotypes is well established, but there are significant gaps in our understanding of the cell-autonomous role of FUS in promoting structural changes to motor neurons, and how these changes relate to disease progression. Here we generated a neuron-specific FUS-transgenic mouse model expressing the ALS-linked human FUSR521G variant, hFUSR521G/Syn1, to investigate the cell-autonomous role of FUSR521G in causing loss of dendritic branching and synapses of motor neurons, and to understand how these changes relate to ALS-associated phenotypes. Longitudinal analysis of mice revealed that cognitive impairments in juvenile hFUSR521G/Syn1 mice coincide with reduced dendritic branching of cortical motor neurons in the absence of motor impairments or changes in the neuromorphology of spinal motor neurons. Motor impairments and dendritic attrition of spinal motor neurons developed later in aged hFUSR521G/Syn1 mice, along with FUS cytoplasmic mislocalisation, mitochondrial abnormalities and glial activation. Neuroinflammation promotes neuronal dysfunction and drives disease progression in ALS/FTD. The therapeutic effects of inhibiting the pro-inflammatory nuclear factor kappa B (NF-κB) pathway with an analog of Withaferin A, IMS-088, were assessed in symptomatic hFUSR521G/Syn1 mice and were found to improve cognitive and motor function, increase dendritic branches and synapses of motor neurons, and attenuate other ALS/FTD-associated pathological features. Treatment of primary cortical neurons expressing FUSR521G with IMS-088 promoted the restoration of dendritic mitochondrial numbers and mitochondrial activity to wild-type levels, suggesting that inhibition of NF-κB permits the restoration of mitochondrial stasis in our models. Collectively, this work demonstrates that FUSR521G has a cell-autonomous role in causing early pathological changes to dendritic and synaptic structures of motor neurons, and that these changes precede motor defects and other well-known pathological features of ALS/FTD. Finally, these findings provide further support that modulation of the NF-κB pathway in ALS/FTD is an important therapeutic approach to attenuate disease.
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Affiliation(s)
- Mari Carmen Pelaez
- Department of Psychiatry and Neuroscience, CERVO Brain Research Centre, Laval University, Quebec City, QC, Canada
| | - Antoine Desmeules
- Department of Psychiatry and Neuroscience, CERVO Brain Research Centre, Laval University, Quebec City, QC, Canada
| | - Pauline A Gelon
- Department of Psychiatry and Neuroscience, CERVO Brain Research Centre, Laval University, Quebec City, QC, Canada
| | - Bastien Glasson
- Department of Psychiatry and Neuroscience, CERVO Brain Research Centre, Laval University, Quebec City, QC, Canada
| | - Laetitia Marcadet
- Department of Psychiatry and Neuroscience, CERVO Brain Research Centre, Laval University, Quebec City, QC, Canada
| | - Alicia Rodgers
- Department of Psychiatry and Neuroscience, CERVO Brain Research Centre, Laval University, Quebec City, QC, Canada
| | - Daniel Phaneuf
- Department of Psychiatry and Neuroscience, CERVO Brain Research Centre, Laval University, Quebec City, QC, Canada
| | - Silvia Pozzi
- Department of Psychiatry and Neuroscience, CERVO Brain Research Centre, Laval University, Quebec City, QC, Canada
| | - Paul A Dutchak
- Department of Psychiatry and Neuroscience, CERVO Brain Research Centre, Laval University, Quebec City, QC, Canada
| | - Jean-Pierre Julien
- Department of Psychiatry and Neuroscience, CERVO Brain Research Centre, Laval University, Quebec City, QC, Canada
| | - Chantelle F Sephton
- Department of Psychiatry and Neuroscience, CERVO Brain Research Centre, Laval University, Quebec City, QC, Canada.
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16
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Glineburg MR, Yildirim E, Gomez N, Li X, Pak J, Altheim C, Waksmacki J, McInerney G, Barmada SJ, Todd PK. Stress granule formation helps to mitigate neurodegeneration. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.11.07.566060. [PMID: 37986813 PMCID: PMC10659376 DOI: 10.1101/2023.11.07.566060] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/22/2023]
Abstract
Cellular stress pathways that inhibit translation initiation lead to transient formation of cytoplasmic RNA/protein complexes known as stress granules. Many of the proteins found within stress granules and the dynamics of stress granule formation and dissolution are implicated in neurodegenerative disease. Whether stress granule formation is protective or harmful in neurodegenerative conditions is not known. To address this, we took advantage of the alphavirus protein nsP3, which selectively binds dimers of the central stress granule nucleator protein G3BP (rin in Drosophila) and markedly reduces stress granule formation without directly impacting the protein translational inhibitory pathways that trigger stress granule formation. In Drosophila and rodent neurons, reducing stress granule formation with nsP3 had modest impacts on lifespan even in the setting of serial stress pathway induction. In contrast, reducing stress granule formation in models of ataxia, amyotrophic lateral sclerosis and frontotemporal dementia largely exacerbated disease phenotypes. These data support a model whereby stress granules mitigate, rather than promote, neurodegenerative cascades.
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Affiliation(s)
- M. Rebecca Glineburg
- Biological Sciences, Schmid College of Science and Technology, Chapman University, 450 N. Center St, Orange, CA 92866
- Department of Neurology, University of Michigan, 109 Zina Pitcher Place, Ann Arbor, MI, 4005 BSRB48109-2200, USA
| | - Evrim Yildirim
- Department of Neurology, University of Michigan, 109 Zina Pitcher Place, Ann Arbor, MI, 4005 BSRB48109-2200, USA
| | - Nicolas Gomez
- Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, 17165, Sweden
| | - Xingli Li
- Department of Neurology, University of Michigan, 109 Zina Pitcher Place, Ann Arbor, MI, 4005 BSRB48109-2200, USA
| | - Jaclyn Pak
- Biological Sciences, Schmid College of Science and Technology, Chapman University, 450 N. Center St, Orange, CA 92866
| | - Christopher Altheim
- Department of Neurology, University of Michigan, 109 Zina Pitcher Place, Ann Arbor, MI, 4005 BSRB48109-2200, USA
| | - Jacob Waksmacki
- Department of Neurology, University of Michigan, 109 Zina Pitcher Place, Ann Arbor, MI, 4005 BSRB48109-2200, USA
| | - Gerald McInerney
- Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, 17165, Sweden
| | - Sami J. Barmada
- Department of Neurology, University of Michigan, 109 Zina Pitcher Place, Ann Arbor, MI, 4005 BSRB48109-2200, USA
| | - Peter K. Todd
- Department of Neurology, University of Michigan, 109 Zina Pitcher Place, Ann Arbor, MI, 4005 BSRB48109-2200, USA
- Veterans Affairs Medical Center, Ann Arbor, MI, USA
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17
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Theme 07 - Pre-Clinical Therapeutic Strategies. Amyotroph Lateral Scler Frontotemporal Degener 2023; 24:173-191. [PMID: 37966323 DOI: 10.1080/21678421.2023.2260198] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2023]
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18
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Higginbotham L, Carter EK, Dammer EB, Haque RU, Johnson ECB, Duong DM, Yin L, De Jager PL, Bennett DA, Felsky D, Tio ES, Lah JJ, Levey AI, Seyfried NT. Unbiased classification of the elderly human brain proteome resolves distinct clinical and pathophysiological subtypes of cognitive impairment. Neurobiol Dis 2023; 186:106286. [PMID: 37689213 PMCID: PMC10750427 DOI: 10.1016/j.nbd.2023.106286] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Revised: 08/24/2023] [Accepted: 09/06/2023] [Indexed: 09/11/2023] Open
Abstract
Cognitive impairment in the elderly features complex molecular pathophysiology extending beyond the hallmark pathologies of traditional disease classification. Molecular subtyping using large-scale -omic strategies can help resolve this biological heterogeneity. Using quantitative mass spectrometry, we measured ∼8000 proteins across >600 dorsolateral prefrontal cortex tissues with clinical diagnoses of no cognitive impairment (NCI), mild cognitive impairment (MCI), and Alzheimer's disease (AD) dementia. Unbiased classification of MCI and AD cases based on individual proteomic profiles resolved three classes with expression differences across numerous cell types and biological ontologies. Two classes displayed molecular signatures atypical of AD neurodegeneration, such as elevated synaptic and decreased inflammatory markers. In one class, these atypical proteomic features were associated with clinical and pathological hallmarks of cognitive resilience. We were able to replicate these classes and their clinicopathological phenotypes across two additional tissue cohorts. These results promise to better define the molecular heterogeneity of cognitive impairment and meaningfully impact its diagnostic and therapeutic precision.
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Affiliation(s)
- Lenora Higginbotham
- Goizueta Alzheimer's Disease Research Center, Emory University School of Medicine, Atlanta, GA, USA; Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA.
| | - E Kathleen Carter
- Goizueta Alzheimer's Disease Research Center, Emory University School of Medicine, Atlanta, GA, USA; Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA; Department of Biochemistry, Emory University School of Medicine, Atlanta, GA, USA
| | - Eric B Dammer
- Goizueta Alzheimer's Disease Research Center, Emory University School of Medicine, Atlanta, GA, USA; Department of Biochemistry, Emory University School of Medicine, Atlanta, GA, USA
| | - Rafi U Haque
- Goizueta Alzheimer's Disease Research Center, Emory University School of Medicine, Atlanta, GA, USA; Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA
| | - Erik C B Johnson
- Goizueta Alzheimer's Disease Research Center, Emory University School of Medicine, Atlanta, GA, USA; Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA
| | - Duc M Duong
- Goizueta Alzheimer's Disease Research Center, Emory University School of Medicine, Atlanta, GA, USA; Department of Biochemistry, Emory University School of Medicine, Atlanta, GA, USA
| | - Luming Yin
- Department of Biochemistry, Emory University School of Medicine, Atlanta, GA, USA
| | - Philip L De Jager
- Center for Translational & Computational Neuroimmunology, Department of Neurology, Taub Institute, Columbia University Irving Medical Center, New York Presbyterian Hospital, New York, NY, USA
| | - David A Bennett
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Daniel Felsky
- Krembil Centre for Neuroinformatics, Centre for Addiction and Mental Health, Toronto, ON, Canada; Institute of Medical Science, University of Toronto, Toronto, ON, Canada
| | - Earvin S Tio
- Krembil Centre for Neuroinformatics, Centre for Addiction and Mental Health, Toronto, ON, Canada; Institute of Medical Science, University of Toronto, Toronto, ON, Canada
| | - James J Lah
- Goizueta Alzheimer's Disease Research Center, Emory University School of Medicine, Atlanta, GA, USA; Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA
| | - Allan I Levey
- Goizueta Alzheimer's Disease Research Center, Emory University School of Medicine, Atlanta, GA, USA; Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA
| | - Nicholas T Seyfried
- Goizueta Alzheimer's Disease Research Center, Emory University School of Medicine, Atlanta, GA, USA; Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA; Department of Biochemistry, Emory University School of Medicine, Atlanta, GA, USA.
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19
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Lee A, Henderson R, Arachchige BJ, Robertson T, McCombe PA. Proteomic investigation of ALS motor cortex identifies known and novel pathogenetic mechanisms. J Neurol Sci 2023; 452:120753. [PMID: 37542825 DOI: 10.1016/j.jns.2023.120753] [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: 03/28/2023] [Revised: 06/30/2023] [Accepted: 07/27/2023] [Indexed: 08/07/2023]
Abstract
The key pathological feature in ALS is death of motor neurones from the brain and spinal cord, but the molecular mechanisms underlying this degeneration remain unknown. Quantifying the motor cortex proteome in autopsy brain and comparing tissues from ALS cases and non-ALS controls is critical to understanding these mechanisms. We used Sequential Window Acquisition of All Theoretical Mass Spectra (SWATH-MS) to characterize the proteomes of the motor cortex from ALS cases (n = 8) and control subjects (n = 8). A total of 1427 proteins were identified at a critical local false discovery rate < 5%; 187 of these exhibited significant expression differences between ALS cases and controls. Of these, 91 proteins were significantly upregulated and 96 proteins were significantly downregulated. Bioinformatics analysis revealed that these proteins are involved in molecular transport, protein trafficking, free radical scavenging, lipid metabolism, cell death and survival, nucleic acid metabolism, inflammatory response or amino acid metabolism and carbohydrate metabolism. Differentially expressed proteins were subjected to pathway analysis. This revealed abnormalities in pathways involving mitochondrial function, sirtuin signaling, oxidative phosphorylation, glycolysis, phagosome maturation, SNARE signaling, redox regulation and several others. Core analysis revealed mitochondrial dysfunction to be the top canonical pathway. The top-enriched networks involved JNK activation and inhibition of AKT signaling, suggesting that disruption of these signaling pathways could lead to demise of motor neurons in the ALS motor cortex.
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Affiliation(s)
- Aven Lee
- Centre for Clinical Research, The University of Queensland, Brisbane, QLD 4029, Australia
| | - Robert Henderson
- Department of Neurology, Royal Brisbane & Women's Hospital (RBWH), Brisbane, QLD 4029, Australia
| | - Buddhika Jayakody Arachchige
- Mass Spectrometry Facility, Centre for Clinical Research, The University of Queensland, Brisbane, QLD 4029, Australia
| | - Thomas Robertson
- Pathology, Royal Brisbane & Women's Hospital, Brisbane, QLD 4029, Australia; School of Biomedical Sciences, The University of Queensland, St Lucia, QLD 4072, Australia
| | - Pamela Ann McCombe
- Centre for Clinical Research, The University of Queensland, Brisbane, QLD 4029, Australia; Wesley Medical Research, The Wesley Hospital, Auchenflower, QLD 4066, Australia.
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20
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Guise AJ, Misal SA, Carson R, Boekweg H, Watt DVD, Truong T, Liang Y, Chu JH, Welsh NC, Gagnon J, Payne SH, Plowey ED, Kelly RT. TDP-43-stratified single-cell proteomic profiling of postmortem human spinal motor neurons reveals protein dynamics in amyotrophic lateral sclerosis. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.06.08.544233. [PMID: 37333094 PMCID: PMC10274884 DOI: 10.1101/2023.06.08.544233] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/20/2023]
Abstract
Unbiased proteomics has been employed to interrogate central nervous system (CNS) tissues (brain, spinal cord) and fluid matrices (CSF, plasma) from amyotrophic lateral sclerosis (ALS) patients; yet, a limitation of conventional bulk tissue studies is that motor neuron (MN) proteome signals may be confounded by admixed non-MN proteins. Recent advances in trace sample proteomics have enabled quantitative protein abundance datasets from single human MNs (Cong et al., 2020b). In this study, we leveraged laser capture microdissection (LCM) and nanoPOTS (Zhu et al., 2018c) single-cell mass spectrometry (MS)-based proteomics to query changes in protein expression in single MNs from postmortem ALS and control donor spinal cord tissues, leading to the identification of 2515 proteins across MNs samples (>900 per single MN) and quantitative comparison of 1870 proteins between disease groups. Furthermore, we studied the impact of enriching/stratifying MN proteome samples based on the presence and extent of immunoreactive, cytoplasmic TDP-43 inclusions, allowing identification of 3368 proteins across MNs samples and profiling of 2238 proteins across TDP-43 strata. We found extensive overlap in differential protein abundance profiles between MNs with or without obvious TDP-43 cytoplasmic inclusions that together point to early and sustained dysregulation of oxidative phosphorylation, mRNA splicing and translation, and retromer-mediated vesicular transport in ALS. Our data are the first unbiased quantification of single MN protein abundance changes associated with TDP-43 proteinopathy and begin to demonstrate the utility of pathology-stratified trace sample proteomics for understanding single-cell protein abundance changes in human neurologic diseases.
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Affiliation(s)
| | - Santosh A. Misal
- Department of Chemistry and Biochemistry, Brigham Young University, Provo, UT 84602
| | - Richard Carson
- Department of Chemistry and Biochemistry, Brigham Young University, Provo, UT 84602
| | - Hannah Boekweg
- Biology Department, Brigham Young University, Provo, UT 84602, USA
| | | | - Thy Truong
- Department of Chemistry and Biochemistry, Brigham Young University, Provo, UT 84602
| | - Yiran Liang
- Department of Chemistry and Biochemistry, Brigham Young University, Provo, UT 84602
| | | | | | | | - Samuel H. Payne
- Biology Department, Brigham Young University, Provo, UT 84602, USA
| | | | - Ryan T. Kelly
- Department of Chemistry and Biochemistry, Brigham Young University, Provo, UT 84602
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21
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Lorenzini I, Alsop E, Levy J, Gittings LM, Lall D, Rabichow BE, Moore S, Pevey R, Bustos LM, Burciu C, Bhatia D, Singer M, Saul J, McQuade A, Tzioras M, Mota TA, Logemann A, Rose J, Almeida S, Gao FB, Marks M, Donnelly CJ, Hutchins E, Hung ST, Ichida J, Bowser R, Spires-Jones T, Blurton-Jones M, Gendron TF, Baloh RH, Van Keuren-Jensen K, Sattler R. Moderate intrinsic phenotypic alterations in C9orf72 ALS/FTD iPSC-microglia despite the presence of C9orf72 pathological features. Front Cell Neurosci 2023; 17:1179796. [PMID: 37346371 PMCID: PMC10279871 DOI: 10.3389/fncel.2023.1179796] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2023] [Accepted: 05/05/2023] [Indexed: 06/23/2023] Open
Abstract
While motor and cortical neurons are affected in C9orf72 amyotrophic lateral sclerosis and frontotemporal dementia (ALS/FTD), it remains largely unknown if and how non-neuronal cells induce or exacerbate neuronal damage. We differentiated C9orf72 ALS/FTD patient-derived induced pluripotent stem cells into microglia (iPSC-MG) and examined their intrinsic phenotypes. Similar to iPSC motor neurons, C9orf72 ALS/FTD iPSC-MG mono-cultures form G4C2 repeat RNA foci, exhibit reduced C9orf72 protein levels, and generate dipeptide repeat proteins. Healthy control and C9orf72 ALS/FTD iPSC-MG equally express microglial specific genes and perform microglial functions, including inflammatory cytokine release and phagocytosis of extracellular cargos, such as synthetic amyloid beta peptides and healthy human brain synaptoneurosomes. RNA sequencing analysis revealed select transcriptional changes of genes associated with neuroinflammation or neurodegeneration in diseased microglia yet no significant differentially expressed microglial-enriched genes. Moderate molecular and functional differences were observed in C9orf72 iPSC-MG mono-cultures despite the presence of C9orf72 pathological features suggesting that a diseased microenvironment may be required to induce phenotypic changes in microglial cells and the associated neuronal dysfunction seen in C9orf72 ALS/FTD neurodegeneration.
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Affiliation(s)
- Ileana Lorenzini
- Department of Translational Neuroscience, Barrow Neurological Institute, Phoenix, AZ, United States
| | - Eric Alsop
- Neurogenomics Division, Translational Genomics Research Institute, Phoenix, AZ, United States
| | - Jennifer Levy
- Department of Translational Neuroscience, Barrow Neurological Institute, Phoenix, AZ, United States
| | - Lauren M. Gittings
- Department of Translational Neuroscience, Barrow Neurological Institute, Phoenix, AZ, United States
| | - Deepti Lall
- Center for Neural Science and Medicine, Cedars-Sinai Medical Center, Regenerative Medicine Institute, Los Angeles, CA, United States
| | - Benjamin E. Rabichow
- Department of Translational Neuroscience, Barrow Neurological Institute, Phoenix, AZ, United States
| | - Stephen Moore
- Department of Translational Neuroscience, Barrow Neurological Institute, Phoenix, AZ, United States
- School of Life Sciences, Arizona State University, Tempe, AZ, United States
| | - Ryan Pevey
- Department of Translational Neuroscience, Barrow Neurological Institute, Phoenix, AZ, United States
- School of Life Sciences, Arizona State University, Tempe, AZ, United States
| | - Lynette M. Bustos
- Department of Translational Neuroscience, Barrow Neurological Institute, Phoenix, AZ, United States
- School of Life Sciences, Arizona State University, Tempe, AZ, United States
| | - Camelia Burciu
- Department of Translational Neuroscience, Barrow Neurological Institute, Phoenix, AZ, United States
| | - Divya Bhatia
- Department of Translational Neuroscience, Barrow Neurological Institute, Phoenix, AZ, United States
| | - Mo Singer
- Department of Translational Neuroscience, Barrow Neurological Institute, Phoenix, AZ, United States
| | - Justin Saul
- Department of Translational Neuroscience, Barrow Neurological Institute, Phoenix, AZ, United States
| | - Amanda McQuade
- Department of Neurobiology and Behavior, University of California, Irvine, Irvine, CA, United States
- Sue and Bill Gross Stem Cell Research Center, University of California, Irvine, Irvine, CA, United States
- Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, Irvine, CA, United States
| | - Makis Tzioras
- UK Dementia Research Institute, The University of Edinburgh, Edinburgh, United Kingdom
- Centre for Brain Discovery Sciences, The University of Edinburgh, Edinburgh, United Kingdom
| | - Thomas A. Mota
- Center for Neural Science and Medicine, Cedars-Sinai Medical Center, Regenerative Medicine Institute, Los Angeles, CA, United States
| | - Amber Logemann
- Neurogenomics Division, Translational Genomics Research Institute, Phoenix, AZ, United States
| | - Jamie Rose
- UK Dementia Research Institute, The University of Edinburgh, Edinburgh, United Kingdom
- Centre for Brain Discovery Sciences, The University of Edinburgh, Edinburgh, United Kingdom
| | - Sandra Almeida
- Department of Neurology, University of Massachusetts Medical School, Worcester, MA, United States
| | - Fen-Biao Gao
- Department of Neurology, University of Massachusetts Medical School, Worcester, MA, United States
| | - Michael Marks
- Department of Neurobiology, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States
| | - Christopher J. Donnelly
- Department of Neurobiology, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States
| | - Elizabeth Hutchins
- Neurogenomics Division, Translational Genomics Research Institute, Phoenix, AZ, United States
| | - Shu-Ting Hung
- Department of Stem Cell Biology Regenerative Medicine, USC Keck School of Medicine, Los Angeles, CA, United States
| | - Justin Ichida
- Department of Stem Cell Biology Regenerative Medicine, USC Keck School of Medicine, Los Angeles, CA, United States
| | - Robert Bowser
- Department of Translational Neuroscience, Barrow Neurological Institute, Phoenix, AZ, United States
| | - Tara Spires-Jones
- UK Dementia Research Institute, The University of Edinburgh, Edinburgh, United Kingdom
- Centre for Brain Discovery Sciences, The University of Edinburgh, Edinburgh, United Kingdom
| | - Mathew Blurton-Jones
- Department of Neurobiology and Behavior, University of California, Irvine, Irvine, CA, United States
- Sue and Bill Gross Stem Cell Research Center, University of California, Irvine, Irvine, CA, United States
- Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, Irvine, CA, United States
| | - Tania F. Gendron
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, United States
- Mayo Clinic Graduate School of Biomedical Sciences, Mayo Clinic, Jacksonville, FL, United States
| | - Robert H. Baloh
- Center for Neural Science and Medicine, Cedars-Sinai Medical Center, Regenerative Medicine Institute, Los Angeles, CA, United States
- Department of Neurology, Cedars-Sinai Medical Center, Los Angeles, CA, United States
| | | | - Rita Sattler
- Department of Translational Neuroscience, Barrow Neurological Institute, Phoenix, AZ, United States
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22
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Sunna S, Bowen C, Zeng H, Rayaprolu S, Kumar P, Bagchi P, Dammer EB, Guo Q, Duong DM, Bitarafan S, Natu A, Wood L, Seyfried NT, Rangaraju S. Cellular Proteomic Profiling Using Proximity Labeling by TurboID-NES in Microglial and Neuronal Cell Lines. Mol Cell Proteomics 2023; 22:100546. [PMID: 37061046 PMCID: PMC10205547 DOI: 10.1016/j.mcpro.2023.100546] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Revised: 04/05/2023] [Accepted: 04/10/2023] [Indexed: 04/17/2023] Open
Abstract
Different brain cell types play distinct roles in brain development and disease. Molecular characterization of cell-specific mechanisms using cell type-specific approaches at the protein (proteomic) level can provide biological and therapeutic insights. To overcome the barriers of conventional isolation-based methods for cell type-specific proteomics, in vivo proteomic labeling with proximity-dependent biotinylation of cytosolic proteins using biotin ligase TurboID, coupled with mass spectrometry (MS) of labeled proteins, emerged as a powerful strategy for cell type-specific proteomics in the native state of cells without the need for cellular isolation. To complement in vivo proximity labeling approaches, in vitro studies are needed to ensure that cellular proteomes using the TurboID approach are representative of the whole-cell proteome and capture cellular responses to stimuli without disruption of cellular processes. To address this, we generated murine neuroblastoma (N2A) and microglial (BV2) lines stably expressing cytosolic TurboID to biotinylate the cellular proteome for downstream purification and analysis using MS. TurboID-mediated biotinylation captured 59% of BV2 and 65% of N2A proteomes under homeostatic conditions. TurboID labeled endolysosome, translation, vesicle, and signaling proteins in BV2 microglia and synaptic, neuron projection, and microtubule proteins in N2A neurons. TurboID expression and biotinylation minimally impacted homeostatic cellular proteomes of BV2 and N2A cells and did not affect lipopolysaccharide-mediated cytokine production or resting cellular respiration in BV2 cells. MS analysis of the microglial biotin-labeled proteins captured the impact of lipopolysaccharide treatment (>500 differentially abundant proteins) including increased canonical proinflammatory proteins (Il1a, Irg1, and Oasl1) and decreased anti-inflammatory proteins (Arg1 and Mgl2).
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Affiliation(s)
- Sydney Sunna
- Department of Neurology, Emory University, Atlanta Georgia, USA; Center for Neurodegenerative Diseases, Emory University, Atlanta, Georgia, USA
| | - Christine Bowen
- Department of Neurology, Emory University, Atlanta Georgia, USA; Center for Neurodegenerative Diseases, Emory University, Atlanta, Georgia, USA; Department of Biochemistry, Emory University, Atlanta, Georgia, USA
| | - Hollis Zeng
- Department of Neurology, Emory University, Atlanta Georgia, USA; Center for Neurodegenerative Diseases, Emory University, Atlanta, Georgia, USA
| | - Sruti Rayaprolu
- Department of Neurology, Emory University, Atlanta Georgia, USA; Center for Neurodegenerative Diseases, Emory University, Atlanta, Georgia, USA
| | - Prateek Kumar
- Department of Neurology, Emory University, Atlanta Georgia, USA; Center for Neurodegenerative Diseases, Emory University, Atlanta, Georgia, USA
| | - Pritha Bagchi
- Center for Neurodegenerative Diseases, Emory University, Atlanta, Georgia, USA; Department of Biochemistry, Emory University, Atlanta, Georgia, USA; Emory Integrated Proteomics Core, Emory University, Atlanta, Georgia, USA
| | - Eric B Dammer
- Center for Neurodegenerative Diseases, Emory University, Atlanta, Georgia, USA; Department of Biochemistry, Emory University, Atlanta, Georgia, USA; Emory Integrated Proteomics Core, Emory University, Atlanta, Georgia, USA
| | - Qi Guo
- Center for Neurodegenerative Diseases, Emory University, Atlanta, Georgia, USA; Department of Biochemistry, Emory University, Atlanta, Georgia, USA; Emory Integrated Proteomics Core, Emory University, Atlanta, Georgia, USA
| | - Duc M Duong
- Center for Neurodegenerative Diseases, Emory University, Atlanta, Georgia, USA; Department of Biochemistry, Emory University, Atlanta, Georgia, USA; Emory Integrated Proteomics Core, Emory University, Atlanta, Georgia, USA
| | - Sara Bitarafan
- George W. Woodruff School of Mechanical Engineering, Wallace H. Coulter Department of Biomedical Engineering, and Parker H. Petit Institute for Bioengineering and Bioscience, Georgia Institute of Technology, Atlanta, Georgia, USA
| | - Aditya Natu
- Department of Neurology, Emory University, Atlanta Georgia, USA; Center for Neurodegenerative Diseases, Emory University, Atlanta, Georgia, USA
| | - Levi Wood
- George W. Woodruff School of Mechanical Engineering, Wallace H. Coulter Department of Biomedical Engineering, and Parker H. Petit Institute for Bioengineering and Bioscience, Georgia Institute of Technology, Atlanta, Georgia, USA
| | - Nicholas T Seyfried
- Department of Neurology, Emory University, Atlanta Georgia, USA; Center for Neurodegenerative Diseases, Emory University, Atlanta, Georgia, USA; Department of Biochemistry, Emory University, Atlanta, Georgia, USA; Emory Integrated Proteomics Core, Emory University, Atlanta, Georgia, USA.
| | - Srikant Rangaraju
- Department of Neurology, Emory University, Atlanta Georgia, USA; Center for Neurodegenerative Diseases, Emory University, Atlanta, Georgia, USA.
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Kumar P, Goettemoeller AM, Espinosa-Garcia C, Tobin BR, Tfaily A, Nelson RS, Natu A, Dammer EB, Santiago JV, Malepati S, Cheng L, Xiao H, Duong D, Seyfried NT, Wood LB, Rowan MJ, Rangaraju S. Native-state proteomics of Parvalbumin interneurons identifies novel molecular signatures and metabolic vulnerabilities to early Alzheimer's disease pathology. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.05.17.541038. [PMID: 37292756 PMCID: PMC10245729 DOI: 10.1101/2023.05.17.541038] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
One of the earliest pathophysiological perturbations in Alzheimer's Disease (AD) may arise from dysfunction of fast-spiking parvalbumin (PV) interneurons (PV-INs). Defining early protein-level (proteomic) alterations in PV-INs can provide key biological and translationally relevant insights. Here, we use cell-type-specific in vivo biotinylation of proteins (CIBOP) coupled with mass spectrometry to obtain native-state proteomes of PV interneurons. PV-INs exhibited proteomic signatures of high metabolic, mitochondrial, and translational activity, with over-representation of causally linked AD genetic risk factors. Analyses of bulk brain proteomes indicated strong correlations between PV-IN proteins with cognitive decline in humans, and with progressive neuropathology in humans and mouse models of Aβ pathology. Furthermore, PV-IN-specific proteomes revealed unique signatures of increased mitochondrial and metabolic proteins, but decreased synaptic and mTOR signaling proteins in response to early Aβ pathology. PV-specific changes were not apparent in whole-brain proteomes. These findings showcase the first native state PV-IN proteomes in mammalian brain, revealing a molecular basis for their unique vulnerabilities in AD.
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Bridel C, van Gils JHM, Miedema SSM, Hoozemans JJM, Pijnenburg YAL, Smit AB, Rozemuller AJM, Abeln S, Teunissen CE. Clusters of co-abundant proteins in the brain cortex associated with fronto-temporal lobar degeneration. Alzheimers Res Ther 2023; 15:59. [PMID: 36949537 PMCID: PMC10035199 DOI: 10.1186/s13195-023-01200-1] [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: 11/07/2022] [Accepted: 02/28/2023] [Indexed: 03/24/2023]
Abstract
BACKGROUND Frontotemporal lobar degeneration (FTLD) is characterized pathologically by neuronal and glial inclusions of hyperphosphorylated tau or by neuronal cytoplasmic inclusions of TDP43. This study aimed at deciphering the molecular mechanisms leading to these distinct pathological subtypes. METHODS To this end, we performed an unbiased mass spectrometry-based proteomic and systems-level analysis of the middle frontal gyrus cortices of FTLD-tau (n = 6), FTLD-TDP (n = 15), and control patients (n = 5). We validated these results in an independent patient cohort (total n = 24). RESULTS The middle frontal gyrus cortex proteome was most significantly altered in FTLD-tau compared to controls (294 differentially expressed proteins at FDR = 0.05). The proteomic modifications in FTLD-TDP were more heterogeneous (49 differentially expressed proteins at FDR = 0.1). Weighted co-expression network analysis revealed 17 modules of co-regulated proteins, 13 of which were dysregulated in FTLD-tau. These modules included proteins associated with oxidative phosphorylation, scavenger mechanisms, chromatin regulation, and clathrin-mediated transport in both the frontal and temporal cortex of FTLD-tau. The most strongly dysregulated subnetworks identified cyclin-dependent kinase 5 (CDK5) and polypyrimidine tract-binding protein 1 (PTBP1) as key players in the disease process. Dysregulation of 9 of these modules was confirmed in independent validation data sets of FLTD-tau and control temporal and frontal cortex (total n = 24). Dysregulated modules were primarily associated with changes in astrocyte and endothelial cell protein abundance levels, indicating pathological changes in FTD are not limited to neurons. CONCLUSIONS Using this innovative workflow and zooming in on the most strongly dysregulated proteins of the identified modules, we were able to identify disease-associated mechanisms in FTLD-tau with high potential as biomarkers and/or therapeutic targets.
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Affiliation(s)
- Claire Bridel
- Neurochemistry Laboratory and Biobank, Department of Clinical Chemistry, Amsterdam Neuroscience, Neurodegeneration, Amsterdam UMC, Amsterdam, The Netherlands
- Department of Clinical Neurosciences, Division of Neurology, Geneva University Hospital, Geneva, Switzerland
| | - Juami H. M. van Gils
- Department of Computer Science, Bioinformatics group, VU University, Amsterdam, The Netherlands
| | - Suzanne S. M. Miedema
- Department of Molecular and Cellular Neurobiology, Center for Neurogenomics and Cognitive Research, Neuroscience Campus Amsterdam, VU University, Amsterdam, The Netherlands
| | - Jeroen J. M. Hoozemans
- Department of Pathology, Amsterdam Neuroscience, Amsterdam UMC, Amsterdam, The Netherlands
| | - Yolande A. L. Pijnenburg
- Alzheimer Center, Department of Neurology, Amsterdam Neuroscience, Amsterdam UMC, Amsterdam, The Netherlands
| | - August B. Smit
- Department of Molecular and Cellular Neurobiology, Center for Neurogenomics and Cognitive Research, Neuroscience Campus Amsterdam, VU University, Amsterdam, The Netherlands
| | | | - Sanne Abeln
- Department of Computer Science, Bioinformatics group, VU University, Amsterdam, The Netherlands
| | - Charlotte E. Teunissen
- Neurochemistry Laboratory and Biobank, Department of Clinical Chemistry, Amsterdam Neuroscience, Neurodegeneration, Amsterdam UMC, Amsterdam, The Netherlands
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Hindley N, Sanchez Avila A, Henstridge C. Bringing synapses into focus: Recent advances in synaptic imaging and mass-spectrometry for studying synaptopathy. Front Synaptic Neurosci 2023; 15:1130198. [PMID: 37008679 PMCID: PMC10050382 DOI: 10.3389/fnsyn.2023.1130198] [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: 12/22/2022] [Accepted: 02/28/2023] [Indexed: 03/17/2023] Open
Abstract
Synapses are integral for healthy brain function and are becoming increasingly recognized as key structures in the early stages of brain disease. Understanding the pathological processes driving synaptic dysfunction will unlock new therapeutic opportunities for some of the most devastating diseases of our time. To achieve this we need a solid repertoire of imaging and molecular tools to interrogate synaptic biology at greater resolution. Synapses have historically been examined in small numbers, using highly technical imaging modalities, or in bulk, using crude molecular approaches. However, recent advances in imaging techniques are allowing us to analyze large numbers of synapses, at single-synapse resolution. Furthermore, multiplexing is now achievable with some of these approaches, meaning we can examine multiple proteins at individual synapses in intact tissue. New molecular techniques now allow accurate quantification of proteins from isolated synapses. The development of increasingly sensitive mass-spectrometry equipment means we can now scan the synaptic molecular landscape almost in totality and see how this changes in disease. As we embrace these new technical developments, synapses will be viewed with clearer focus, and the field of synaptopathy will become richer with insightful and high-quality data. Here, we will discuss some of the ways in which synaptic interrogation is being facilitated by methodological advances, focusing on imaging, and mass spectrometry.
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Affiliation(s)
- Nicole Hindley
- Division of Cellular and Systems Medicine, University of Dundee, Dundee, United Kingdom
| | - Anna Sanchez Avila
- Division of Cellular and Systems Medicine, University of Dundee, Dundee, United Kingdom
- Euan Macdonald Centre for Motor Neuron Disease, University of Edinburgh, Edinburgh, United Kingdom
| | - Christopher Henstridge
- Division of Cellular and Systems Medicine, University of Dundee, Dundee, United Kingdom
- Euan Macdonald Centre for Motor Neuron Disease, University of Edinburgh, Edinburgh, United Kingdom
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26
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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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27
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Huber RG, Pandey S, Chhangani D, Rincon-Limas DE, Staff NP, Yeo CJJ. Identification of potential pathways and biomarkers linked to progression in ALS. Ann Clin Transl Neurol 2023; 10:150-165. [PMID: 36533811 PMCID: PMC9930436 DOI: 10.1002/acn3.51697] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Accepted: 10/24/2022] [Indexed: 12/23/2022] Open
Abstract
OBJECTIVE To identify potential diagnostic and prognostic biomarkers for clinical management and clinical trials in amyotrophic lateral sclerosis. METHODS We analysed proteomics data of ALS patient-induced pluripotent stem cell-derived motor neurons available through the AnswerALS consortium. After stratifying patients using clinical ALSFRS-R and ALS-CBS scales, we identified differentially expressed proteins indicative of ALS disease severity and progression rate as candidate ALS-related and prognostic biomarkers. Pathway analysis for identified proteins was performed using STITCH. Protein sets were correlated with the effects of drugs using the Connectivity Map tool to identify compounds likely to affect similar pathways. RNAi screening was performed in a Drosophila TDP-43 ALS model to validate pathological relevance. A statistical classification machine learning model was constructed using ridge regression that uses proteomics data to differentiate ALS patients from controls. RESULTS We identified 76, 21, 71 and 1 candidate ALS-related biomarkers and 22, 41, 27 and 64 candidate prognostic biomarkers from patients stratified by ALSFRS-R baseline, ALSFRS-R progression slope, ALS-CBS baseline and ALS-CBS progression slope, respectively. Nineteen proteins enhanced or suppressed pathogenic eye phenotypes in the ALS fly model. Nutraceuticals, dopamine pathway modulators, statins, anti-inflammatories and antimicrobials were predicted starting points for drug repurposing using the connectivity map tool. Ten diagnostic biomarker proteins were predicted by machine learning to identify ALS patients with high accuracy and sensitivity. INTERPRETATION This study showcases the powerful approach of iPSC-motor neuron proteomics combined with machine learning and biological confirmation in the prediction of novel mechanisms and diagnostic and predictive biomarkers in ALS.
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Affiliation(s)
- Roland G Huber
- Bioinformatics Institute (BII), Agency for Science, Technology and Research (A*STAR), Matrix #07-01, 30 Biopolis Street, Singapore, 138671, Singapore
| | - Swapnil Pandey
- Department of Neurology, McKnight Brain Institute, and Norman Fixel Institute for Neurological Diseases, University of Florida, Gainesville, Florida, 32611, USA
| | - Deepak Chhangani
- Department of Neurology, McKnight Brain Institute, and Norman Fixel Institute for Neurological Diseases, University of Florida, Gainesville, Florida, 32611, USA
| | - Diego E Rincon-Limas
- Department of Neurology, McKnight Brain Institute, and Norman Fixel Institute for Neurological Diseases, University of Florida, Gainesville, Florida, 32611, USA
| | - Nathan P Staff
- Department of Neurology, Mayo Clinic, Rochester, Minnesota, 55905, USA
| | - Crystal Jing Jing Yeo
- Agency for Science, Technology and Research (A*STAR), IMCB, 61 Biopolis Drive, Proteos, Singapore, 138673, Singapore
- Department of Neurology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, 60611, USA
- Lee Kong Chian School of Medicine, Imperial College London and NTU Singapore, Singapore, 308232, Singapore
- School of Medicine, Medical Sciences and Nutrition, University of Aberdeen, AB243FX, Scotland, UK
- National Neuroscience Institute, TTSH Campus, 11 Jalan Tan Tock Seng, Singapore, 308433, Singapore
- Duke NUS Medical School, 8 College Road, Singapore, 169857, Singapore
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Vignaroli F, Mele A, Tondo G, De Giorgis V, Manfredi M, Comi C, Mazzini L, De Marchi F. The Need for Biomarkers in the ALS-FTD Spectrum: A Clinical Point of View on the Role of Proteomics. Proteomes 2023; 11:proteomes11010001. [PMID: 36648959 PMCID: PMC9844364 DOI: 10.3390/proteomes11010001] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2022] [Revised: 12/30/2022] [Accepted: 01/04/2023] [Indexed: 01/11/2023] Open
Abstract
Frontotemporal dementia (FTD) and amyotrophic lateral sclerosis (ALS) are severely debilitating and progressive neurodegenerative disorders. A distinctive pathological feature of several neurodegenerative diseases, including ALS and FTD, is the deposition of aberrant protein inclusions in neuronal cells, which leads to cellular dysfunction and neuronal damage and loss. Despite this, to date, the biological process behind developing these protein inclusions must be better clarified, making the development of disease-modifying treatment impossible until this is done. Proteomics is a powerful tool to characterize the expression, structure, functions, interactions, and modifications of proteins of tissue and biological fluid, including plasma, serum, and cerebrospinal fluid. This protein-profiling characterization aims to identify disease-specific protein alteration or specific pathology-based mechanisms which may be used as markers of these conditions. Our narrative review aims to highlight the need for biomarkers and the potential use of proteomics in clinical practice for ALS-FTD spectrum disorders, considering the emerging rationale in proteomics for new drug development. Certainly, new data will emerge in the near future in this regard and support clinicians in the development of personalized medicine.
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Affiliation(s)
| | - Angelica Mele
- Neurology Unit, Maggiore della Carità Hospital, 28100 Novara, Italy
| | - Giacomo Tondo
- Department of Neurology, S. Andrea Hospital, University of Piemonte Orientale, 13100 Vercelli, Italy
| | - Veronica De Giorgis
- Department of Translational Medicine, University of Piemonte Orientale, 28100 Novara, Italy
- Center for Translational Research and Autoimmune and Allergic Diseases (CAAD), University of Piemonte Orientale, 28100 Novara, Italy
| | - Marcello Manfredi
- Department of Translational Medicine, University of Piemonte Orientale, 28100 Novara, Italy
- Center for Translational Research and Autoimmune and Allergic Diseases (CAAD), University of Piemonte Orientale, 28100 Novara, Italy
| | - Cristoforo Comi
- Department of Neurology, S. Andrea Hospital, University of Piemonte Orientale, 13100 Vercelli, Italy
- Department of Translational Medicine, University of Piemonte Orientale, 28100 Novara, Italy
| | - Letizia Mazzini
- Neurology Unit, Maggiore della Carità Hospital, 28100 Novara, Italy
- Department of Translational Medicine, University of Piemonte Orientale, 28100 Novara, Italy
| | - Fabiola De Marchi
- Neurology Unit, Maggiore della Carità Hospital, 28100 Novara, Italy
- Department of Translational Medicine, University of Piemonte Orientale, 28100 Novara, Italy
- Correspondence: ; Tel.: +39-0321-3733962
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29
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You FL, Xia GF, Cai J. Behavioural Variant Frontotemporal Dementia due to CCNF Gene Mutation: A Case Report. Curr Alzheimer Res 2023; 20:371-378. [PMID: 37872794 DOI: 10.2174/1567205020666230811092906] [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: 01/28/2023] [Revised: 06/22/2023] [Accepted: 07/10/2023] [Indexed: 10/25/2023]
Abstract
BACKGROUND Frontal, temporal lobe dementia (FTD) and amyotrophic lateral sclerosis (ALS) are fatal neurodegenerative diseases. Studies have found that CCNF mutations have been found in patients with familial and sporadic ALS and FTD. Behavioural variant frontotemporal dementia (bvFTD) is a clinical syndrome characterized by progressive deterioration of personality, social behaviour, and cognitive function, which is most closely related to genetic factors. As the early symptoms of bvFTD are highly heterogeneous, the condition is often misdiagnosed as Alzheimer's disease or psychiatric disorders. In this study, a bvFTD patient had a CCNF gene mutation, which led to ubiquitinated protein accumulation and ultimately caused neurodegenerative disease. Genetic detection should be improved urgently for bvFTD patients and family members to provide a clinical reference for early diagnosis of frontotemporal dementia. CASE PRESENTATION In this case, the patient was 65 years old with an insidious onset, early-onset memory loss, a significant decline in the episodic memory, an early AD diagnosis, and oral treatment with donepezil hydrochloride for 3 years with poor efficacy, followed by a change to oral memantine hydrochloride tablets, which controlled the condition for several months. His medication was switched to sodium oligomannate capsules, and his condition was gradually controlled, but no significant improvement was observed. After spontaneous drug withdrawal, the patient's condition progressed rapidly; therefore, he visited our hospital and underwent neuropsychological tests for moderate to severe cognitive impairment. AD cerebrospinal fluid markers showed no significant abnormalities, and cranial MRI revealed frontotemporal lobe atrophy and decreased hippocampal volume. Genetic testing for the presence of the CCNF gene revealed a c.1532C > A (p. T511N) heterozygous variant, which might be a diagnostic criterion for bvFTD. Therefore, the patient's symptoms recurred after transient improvement with the combination of donepezil, oral memantine hydrochloride tablets, and sodium oligomannate, but his overall condition was improved compared to that before, and this treatment regimen was continued to observe changes during the follow-up. CONCLUSION The early clinical manifestations of bvFTD are complex and variable, and the condition is easily misdiagnosed, thus delaying treatment. Therefore, for patients with a high clinical suspicion of FTD, in addition to a detailed understanding of their medical history and family history and improvement of relevant examinations, genetic testing should be performed as early as possible to help confirm the diagnosis. For diseases closely related to genes, genetic testing of other family members should be optimised as much as possible to allow early diagnosis and intervention and guide fertility in the next generation.
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Affiliation(s)
- Feng-Ling You
- Department of Neurology, Guizhou University of Traditional Chinese Medicine, Guiyang, 550002, China
| | - Gao-Fu Xia
- Department of Neurology, Guizhou University of Traditional Chinese Medicine, Guiyang, 550002, China
| | - Jing Cai
- The First Affiliated Hospital of Guizhou University of Traditional Chinese Medicine, Guiyang, 550001, China
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30
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Proteomics of the dentate gyrus reveals semantic dementia specific molecular pathology. Acta Neuropathol Commun 2022; 10:190. [PMID: 36578035 PMCID: PMC9795759 DOI: 10.1186/s40478-022-01499-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2022] [Accepted: 12/21/2022] [Indexed: 12/29/2022] Open
Abstract
Semantic dementia (SD) is a clinical subtype of frontotemporal dementia consistent with the neuropathological diagnosis frontotemporal lobar degeneration (FTLD) TDP type C, with characteristic round TDP-43 protein inclusions in the dentate gyrus. Despite this striking clinicopathological concordance, the pathogenic mechanisms are largely unexplained forestalling the development of targeted therapeutics. To address this, we carried out laser capture microdissection of the dentate gyrus of 15 SD patients and 17 non-demented controls, and assessed relative protein abundance changes by label-free quantitative mass spectrometry. To identify SD specific proteins, we compared our results to eight other FTLD and Alzheimer's disease (AD) proteomic datasets of cortical brain tissue, parallel with functional enrichment analyses and protein-protein interactions (PPI). Of the total 5,354 quantified proteins, 151 showed differential abundance in SD patients (adjusted P-value < 0.01). Seventy-nine proteins were considered potentially SD specific as these were not detected, or demonstrated insignificant or opposite change in FTLD/AD. Functional enrichment indicated an overrepresentation of pathways related to the immune response, metabolic processes, and cell-junction assembly. PPI analysis highlighted a cluster of interacting proteins associated with adherens junction and cadherin binding, the cadherin-catenin complex. Multiple proteins in this complex showed significant upregulation in SD, including β-catenin (CTNNB1), γ-catenin (JUP), and N-cadherin (CDH2), which were not observed in other neurodegenerative proteomic studies, and hence may resemble SD specific involvement. A trend of upregulation of all three proteins was observed by immunoblotting of whole hippocampus tissue, albeit only significant for N-cadherin. In summary, we discovered a specific increase of cell adhesion proteins in SD constituting the cadherin-catenin complex at the synaptic membrane, essential for synaptic signaling. Although further investigation and validation are warranted, we anticipate that these findings will help unravel the disease processes underlying SD.
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Mazumder S, Kiernan MC, Halliday GM, Timmins HC, Mahoney CJ. The contribution of brain banks to knowledge discovery in amyotrophic lateral sclerosis: A systematic review. Neuropathol Appl Neurobiol 2022; 48:e12845. [PMID: 35921237 PMCID: PMC9804699 DOI: 10.1111/nan.12845] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Revised: 06/17/2022] [Accepted: 07/23/2022] [Indexed: 01/09/2023]
Abstract
Over the past decade, considerable efforts have been made to accelerate pathophysiological understanding of fatal neurodegenerative diseases such as amyotrophic lateral sclerosis (ALS) with brain banks at the forefront. In addition to exploratory disease mechanisms, brain banks have aided our understanding with regard to clinical diagnosis, genetics and cell biology. Across neurodegenerative disorders, the impact of brain tissue in ALS research has yet to be quantified. This review aims to outline (i) how postmortem tissues from brain banks have influenced our understanding of ALS over the last 15 years, (ii) correlate the location of dedicated brain banks with the geographical prevalence of ALS, (iii) identify the frequency of features reported from postmortem studies and (iv) propose common reporting standards for materials obtained from dedicated brain banks. A systematic review was conducted using PubMed and Web of Science databases using key words. From a total of 1439 articles, 73 articles were included in the final review, following PRISMA guidelines. Following a thematic analysis, articles were categorised into five themes; clinico-pathological (13), genetic (20), transactive response DNA binding protein 43 (TDP-43) pathology (12), non-TDP-43 neuronal pathology (nine) and extraneuronal pathology (19). Research primarily focused on the genetics of ALS, followed by protein pathology. About 63% of the brain banks were in the United States of America and United Kingdom. The location of brain banks overall aligned with the incidence of ALS worldwide with 88% of brain banks situated in Europe and North America. An overwhelming lack of consistency in reporting and replicability was observed, strengthening the need for a standardised reporting system. Overall, postmortem material from brain banks generated substantial new knowledge in areas of genetics and proteomics and supports their ongoing role as an important research tool.
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Affiliation(s)
- Srestha Mazumder
- ForeFront Clinic, Brain and Mind CentreUniversity of SydneySydneyNew South WalesAustralia
| | - Matthew C. Kiernan
- ForeFront Clinic, Brain and Mind CentreUniversity of SydneySydneyNew South WalesAustralia
| | - Glenda M. Halliday
- Frontier, Brain and Mind CentreUniversity of SydneySydneyNew South WalesAustralia
| | - Hannah C. Timmins
- ForeFront Clinic, Brain and Mind CentreUniversity of SydneySydneyNew South WalesAustralia
| | - Colin J. Mahoney
- ForeFront Clinic, Brain and Mind CentreUniversity of SydneySydneyNew South WalesAustralia
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Sohn AL, Ping L, Glass JD, Seyfried NT, Hector EC, Muddiman DC. Interrogating the Metabolomic Profile of Amyotrophic Lateral Sclerosis in the Post-Mortem Human Brain by Infrared Matrix-Assisted Laser Desorption Electrospray Ionization (IR-MALDESI) Mass Spectrometry Imaging (MSI). Metabolites 2022; 12:1096. [PMID: 36355179 PMCID: PMC9696666 DOI: 10.3390/metabo12111096] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Revised: 10/26/2022] [Accepted: 11/07/2022] [Indexed: 01/03/2024] Open
Abstract
Amyotrophic lateral sclerosis (ALS) is an idiopathic, fatal neurodegenerative disease characterized by progressive loss of motor function with an average survival time of 2-5 years after diagnosis. Due to the lack of signature biomarkers and heterogenous disease phenotypes, a definitive diagnosis of ALS can be challenging. Comprehensive investigation of this disease is imperative to discovering unique features to expedite the diagnostic process and improve diagnostic accuracy. Here, we present untargeted metabolomics by mass spectrometry imaging (MSI) for comparing sporadic ALS (sALS) and C9orf72 positive (C9Pos) post-mortem frontal cortex human brain tissues against a control cohort. The spatial distribution and relative abundance of metabolites were measured by infrared matrix-assisted laser desorption electrospray ionization (IR-MALDESI) MSI for association to biological pathways. Proteomic studies on the same patients were completed via LC-MS/MS in a previous study, and results were integrated with imaging metabolomics results to enhance the breadth of molecular coverage. Utilizing METASPACE annotation platform and MSiPeakfinder, nearly 300 metabolites were identified across the sixteen samples, where 25 were identified as dysregulated between disease cohorts. The dysregulated metabolites were further examined for their relevance to alanine, aspartate, and glutamate metabolism, glutathione metabolism, and arginine and proline metabolism. The dysregulated pathways discussed are consistent with reports from other ALS studies. To our knowledge, this work is the first of its kind, reporting on the investigation of ALS post-mortem human brain tissue analyzed by multiomic MSI.
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Affiliation(s)
- Alexandria L. Sohn
- FTMS Laboratory for Human Health Research, Department of Chemistry, North Carolina State University, Raleigh, NC 27695, USA
| | - Lingyan Ping
- Goizueta Alzheimer’s Disease Research Center, Emory University School of Medicine, Atlanta, GA 30322, USA
- Department of Neurology, Emory University School of Medicine, Atlanta, GA 30322, USA
- Department of Biochemistry, Emory University School of Medicine, Atlanta, GA 30322, USA
| | - Jonathan D. Glass
- Department of Neurology, Emory University School of Medicine, Atlanta, GA 30322, USA
| | - Nicholas T. Seyfried
- Goizueta Alzheimer’s Disease Research Center, Emory University School of Medicine, Atlanta, GA 30322, USA
- Department of Neurology, Emory University School of Medicine, Atlanta, GA 30322, USA
- Department of Biochemistry, Emory University School of Medicine, Atlanta, GA 30322, USA
| | - Emily C. Hector
- Department of Statistics, North Carolina State University, Raleigh, NC 27695, USA
| | - David C. Muddiman
- FTMS Laboratory for Human Health Research, Department of Chemistry, North Carolina State University, Raleigh, NC 27695, USA
- Molecular Education, Technology and Research Innovation Center (METRIC), North Carolina State University, Raleigh, NC 27695, USA
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Laszlo ZI, Hindley N, Sanchez Avila A, Kline RA, Eaton SL, Lamont DJ, Smith C, Spires-Jones TL, Wishart TM, Henstridge CM. Synaptic proteomics reveal distinct molecular signatures of cognitive change and C9ORF72 repeat expansion in the human ALS cortex. Acta Neuropathol Commun 2022; 10:156. [DOI: 10.1186/s40478-022-01455-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Accepted: 09/30/2022] [Indexed: 11/10/2022] Open
Abstract
AbstractIncreasing evidence suggests synaptic dysfunction is a central and possibly triggering factor in Amyotrophic Lateral Sclerosis (ALS). Despite this, we still know very little about the molecular profile of an ALS synapse. To address this gap, we designed a synaptic proteomics experiment to perform an unbiased assessment of the synaptic proteome in the ALS brain. We isolated synaptoneurosomes from fresh-frozen post-mortem human cortex (11 controls and 18 ALS) and stratified the ALS group based on cognitive profile (Edinburgh Cognitive and Behavioural ALS Screen (ECAS score)) and presence of a C9ORF72 hexanucleotide repeat expansion (C9ORF72-RE). This allowed us to assess regional differences and the impact of phenotype and genotype on the synaptic proteome, using Tandem Mass Tagging-based proteomics. We identified over 6000 proteins in our synaptoneurosomes and using robust bioinformatics analysis we validated the strong enrichment of synapses. We found more than 30 ALS-associated proteins in synaptoneurosomes, including TDP-43, FUS, SOD1 and C9ORF72. We identified almost 500 proteins with altered expression levels in ALS, with region-specific changes highlighting proteins and pathways with intriguing links to neurophysiology and pathology. Stratifying the ALS cohort by cognitive status revealed almost 150 specific alterations in cognitively impaired ALS synaptic preparations. Stratifying by C9ORF72-RE status revealed 330 protein alterations in the C9ORF72-RE +ve group, with KEGG pathway analysis highlighting strong enrichment for postsynaptic dysfunction, related to glutamatergic receptor signalling. We have validated some of these changes by western blot and at a single synapse level using array tomography imaging. In summary, we have generated the first unbiased map of the human ALS synaptic proteome, revealing novel insight into this key compartment in ALS pathophysiology and highlighting the influence of cognitive decline and C9ORF72-RE on synaptic composition.
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Mofrad RB, Del Campo M, Peeters CFW, Meeter LHH, Seelaar H, Koel-Simmelink M, Ramakers IHGB, Middelkoop HAM, De Deyn PP, Claassen JAHR, van Swieten JC, Bridel C, Hoozemans JJM, Scheltens P, van der Flier WM, Pijnenburg YAL, Teunissen CE. Plasma proteome profiling identifies changes associated to AD but not to FTD. Acta Neuropathol Commun 2022; 10:148. [PMID: 36273219 PMCID: PMC9587555 DOI: 10.1186/s40478-022-01458-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Accepted: 10/06/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Frontotemporal dementia (FTD) is caused by frontotemporal lobar degeneration (FTLD), characterized mainly by inclusions of Tau (FTLD-Tau) or TAR DNA binding43 (FTLD-TDP) proteins. Plasma biomarkers are strongly needed for specific diagnosis and potential treatment monitoring of FTD. We aimed to identify specific FTD plasma biomarker profiles discriminating FTD from AD and controls, and between FTD pathological subtypes. In addition, we compared plasma results with results in post-mortem frontal cortex of FTD cases to understand the underlying process. METHODS Plasma proteins (n = 1303) from pathologically and/or genetically confirmed FTD patients (n = 56; FTLD-Tau n = 16; age = 58.2 ± 6.2; 44% female, FTLD-TDP n = 40; age = 59.8 ± 7.9; 45% female), AD patients (n = 57; age = 65.5 ± 8.0; 39% female), and non-demented controls (n = 148; 61.3 ± 7.9; 41% female) were measured using an aptamer-based proteomic technology (SomaScan). In addition, exploratory analysis in post-mortem frontal brain cortex of FTD (n = 10; FTLD-Tau n = 5; age = 56.2 ± 6.9, 60% female, and FTLD-TDP n = 5; age = 64.0 ± 7.7, 60% female) and non-demented controls (n = 4; age = 61.3 ± 8.1; 75% female) were also performed. Differentially regulated plasma and tissue proteins were identified by global testing adjusting for demographic variables and multiple testing. Logistic lasso regression was used to identify plasma protein panels discriminating FTD from non-demented controls and AD, or FTLD-Tau from FTLD-TDP. Performance of the discriminatory plasma protein panels was based on predictions obtained from bootstrapping with 1000 resampled analysis. RESULTS Overall plasma protein expression profiles differed between FTD, AD and controls (6 proteins; p = 0.005), but none of the plasma proteins was specifically associated to FTD. The overall tissue protein expression profile differed between FTD and controls (7-proteins; p = 0.003). There was no difference in overall plasma or tissue expression profile between FTD subtypes. Regression analysis revealed a panel of 12-plasma proteins discriminating FTD from AD with high accuracy (AUC: 0.99). No plasma protein panels discriminating FTD from controls or FTD pathological subtypes were identified. CONCLUSIONS We identified a promising plasma protein panel as a minimally-invasive tool to aid in the differential diagnosis of FTD from AD, which was primarily associated to AD pathophysiology. The lack of plasma profiles specifically associated to FTD or its pathological subtypes might be explained by FTD heterogeneity, calling for FTD studies using large and well-characterize cohorts.
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Affiliation(s)
- R Babapour Mofrad
- Neurochemistry Laboratory and Biobank, Department of Clinical Chemistry, Amsterdam Neuroscience, VU University Medical Center, Amsterdam UMC, Vrije Universiteit Amsterdam, PO Box 7057, 1007 MB, Amsterdam, The Netherlands.,Alzheimer Center and Department of Neurology Amsterdam, Department of Neurology, Neuroscience Campus Amsterdam Neuroscience, VU University Medical Center, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - M Del Campo
- Neurochemistry Laboratory and Biobank, Department of Clinical Chemistry, Amsterdam Neuroscience, VU University Medical Center, Amsterdam UMC, Vrije Universiteit Amsterdam, PO Box 7057, 1007 MB, Amsterdam, The Netherlands.,Departamento de Ciencias Farmacéuticas y de la Salud, Facultad de Farmacia, Universidad San Pablo-CEU, CEU Universities, Madrid, Spain.,Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain
| | - C F W Peeters
- Department of Epidemiology and Biostatistics, VU University Medical Center, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.,Mathematical and Statistical Methods Group (Biometris), Wageningen University and Research Wageningen, Wageningen, The Netherlands
| | - L H H Meeter
- Alzheimer Center Erasmus MC and Department of Neurology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - H Seelaar
- Alzheimer Center Rotterdam and Department of Neurology, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - M Koel-Simmelink
- Neurochemistry Laboratory and Biobank, Department of Clinical Chemistry, Amsterdam Neuroscience, VU University Medical Center, Amsterdam UMC, Vrije Universiteit Amsterdam, PO Box 7057, 1007 MB, Amsterdam, The Netherlands
| | - I H G B Ramakers
- Alzheimer Center Limburg, Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University, Maastricht, The Netherlands
| | - H A M Middelkoop
- Institute of Psychology, Health, Medical and Neuropsychology Unit, Leiden University, Leiden, the Netherlands.,Department of Neurology, Leiden University Medical Centre, Leiden, The Netherlands
| | - P P De Deyn
- Laboratory of Neurochemistry and Behavior, Department of Biomedical Sciences, Institute Born-Bunge, University of Antwerp, Antwerp, Belgium.,Department of Neurology and Alzheimer Center, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - J A H R Claassen
- Department of Geriatric Medicine, Radboud University Medical Center, Radboudumc Alzheimer Center, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands
| | - J C van Swieten
- Alzheimer Center Erasmus MC and Department of Neurology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - C Bridel
- Neurochemistry Laboratory and Biobank, Department of Clinical Chemistry, Amsterdam Neuroscience, VU University Medical Center, Amsterdam UMC, Vrije Universiteit Amsterdam, PO Box 7057, 1007 MB, Amsterdam, The Netherlands
| | - J J M Hoozemans
- Department of Pathology, Amsterdam University Medical Centers Location VUmc, Amsterdam, The Netherlands
| | - P Scheltens
- Alzheimer Center and Department of Neurology Amsterdam, Department of Neurology, Neuroscience Campus Amsterdam Neuroscience, VU University Medical Center, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - W M van der Flier
- Alzheimer Center and Department of Neurology Amsterdam, Department of Neurology, Neuroscience Campus Amsterdam Neuroscience, VU University Medical Center, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.,Department of Epidemiology and Biostatistics, VU University Medical Center, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Y A L Pijnenburg
- Alzheimer Center and Department of Neurology Amsterdam, Department of Neurology, Neuroscience Campus Amsterdam Neuroscience, VU University Medical Center, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Charlotte E Teunissen
- Neurochemistry Laboratory and Biobank, Department of Clinical Chemistry, Amsterdam Neuroscience, VU University Medical Center, Amsterdam UMC, Vrije Universiteit Amsterdam, PO Box 7057, 1007 MB, Amsterdam, The Netherlands.
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35
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Gelon PA, Dutchak PA, Sephton CF. Synaptic dysfunction in ALS and FTD: anatomical and molecular changes provide insights into mechanisms of disease. Front Mol Neurosci 2022; 15:1000183. [PMID: 36263379 PMCID: PMC9575515 DOI: 10.3389/fnmol.2022.1000183] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Accepted: 09/01/2022] [Indexed: 11/29/2022] Open
Abstract
Synaptic loss is a pathological feature of all neurodegenerative diseases including amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD). ALS is a disease of the cortical and spinal motor neurons resulting in fatal paralysis due to denervation of muscles. FTD is a form of dementia that primarily affects brain regions controlling cognition, language and behavior. Once classified as two distinct diseases, ALS and FTD are now considered as part of a common disease spectrum based on overlapping clinical, pathological and genetic evidence. At the cellular level, aggregation of common proteins and overlapping gene susceptibilities are shared in both ALS and FTD. Despite the convergence of these two fields of research, the underlying disease mechanisms remain elusive. However, recent discovers from ALS and FTD patient studies and models of ALS/FTD strongly suggests that synaptic dysfunction is an early event in the disease process and a unifying hallmark of these diseases. This review provides a summary of the reported anatomical and cellular changes that occur in cortical and spinal motor neurons in ALS and FTD tissues and models of disease. We also highlight studies that identify changes in the proteome and transcriptome of ALS and FTD models and provide a conceptual overview of the processes that contribute to synaptic dysfunction in these diseases. Due to space limitations and the vast number of publications in the ALS and FTD fields, many articles have not been discussed in this review. As such, this review focuses on the three most common shared mutations in ALS and FTD, the hexanucleuotide repeat expansion within intron 1 of chromosome 9 open reading frame 72 (C9ORF72), transactive response DNA binding protein 43 (TARDBP or TDP-43) and fused in sarcoma (FUS), with the intention of highlighting common pathways that promote synaptic dysfunction in the ALS-FTD disease spectrum.
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36
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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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37
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Falzone YM, Domi T, Mandelli A, Pozzi L, Schito P, Russo T, Barbieri A, Fazio R, Volontè MA, Magnani G, Del Carro U, Carrera P, Malaspina A, Agosta F, Quattrini A, Furlan R, Filippi M, Riva N. Integrated evaluation of a panel of neurochemical biomarkers to optimize diagnosis and prognosis in amyotrophic lateral sclerosis. Eur J Neurol 2022; 29:1930-1939. [PMID: 35263489 PMCID: PMC9314044 DOI: 10.1111/ene.15321] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2021] [Revised: 02/07/2022] [Accepted: 02/24/2022] [Indexed: 12/01/2022]
Abstract
BACKGROUND AND PURPOSE This study was undertaken to determine the diagnostic and prognostic value of a panel of serum biomarkers and to correlate their concentrations with several clinical parameters in a large cohort of patients with amyotrophic lateral sclerosis (ALS). METHODS One hundred forty-three consecutive patients with ALS and a control cohort consisting of 70 patients with other neurodegenerative disorders (DEG), 70 patients with ALS mimic disorders (ALSmd), and 45 healthy controls (HC) were included. Serum neurofilament light chain (NfL), ubiquitin carboxyl-terminal hydrolase isozyme L1 (UCHL1), glial fibrillary acidic protein (GFAP), and total tau protein levels were measured using ultrasensitive single molecule array. RESULTS NfL correlated with disease progression rate (p < 0.001) and with the measures of upper motor neuron burden (p < 0.001). NfL was higher in the ALS patients with classic and pyramidal phenotype. GFAP was raised in ALS with cognitive-behavioral impairment compared with ALS with normal cognition. NfL displayed the best diagnostic performance in discriminating ALS from HC (area under the curve [AUC] = 0.990), DEG (AUC = 0.946), and ALSmd (AUC = 0.850). UCHL1 performed well in distinguishing ALS from HC (AUC = 0.761), whereas it was not helpful in differentiating ALS from DEG and ALSmd. In multivariate analysis, NfL (p < 0.001) and UCHL1 (p = 0.038) were independent prognostic factors. Survival analysis combining NfL and UCHL1 effectively stratified patients with lower NfL levels (p < 0.001). CONCLUSIONS NfL is a useful biomarker for the diagnosis of ALS and the strongest predictor of survival. UCHL1 is an independent prognostic factor helpful in stratifying survival in patients with low NfL levels, likely to have slowly progressive disease. GFAP reflects extramotor involvement, namely cognitive impairment or frontotemporal dementia.
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Affiliation(s)
- Yuri Matteo Falzone
- Experimental Neuropathology UnitDivision of NeuroscienceInstitute of Experimental NeurologySan Raffaele Scientific InstituteMilanItaly
- Neurology UnitSan Raffaele Scientific Institute, Scientific Institute for Research and Health CareMilanItaly
| | - Teuta Domi
- Experimental Neuropathology UnitDivision of NeuroscienceInstitute of Experimental NeurologySan Raffaele Scientific InstituteMilanItaly
| | - Alessandra Mandelli
- Clinical Neuroimmunology UnitDivision of NeuroscienceInstitute of Experimental NeurologySan Raffaele Scientific InstituteMilanItaly
| | - Laura Pozzi
- Experimental Neuropathology UnitDivision of NeuroscienceInstitute of Experimental NeurologySan Raffaele Scientific InstituteMilanItaly
| | - Paride Schito
- Experimental Neuropathology UnitDivision of NeuroscienceInstitute of Experimental NeurologySan Raffaele Scientific InstituteMilanItaly
- Neurology UnitSan Raffaele Scientific Institute, Scientific Institute for Research and Health CareMilanItaly
| | - Tommaso Russo
- Experimental Neuropathology UnitDivision of NeuroscienceInstitute of Experimental NeurologySan Raffaele Scientific InstituteMilanItaly
- Neurology UnitSan Raffaele Scientific Institute, Scientific Institute for Research and Health CareMilanItaly
| | - Alessandra Barbieri
- Neurology UnitSan Raffaele Scientific Institute, Scientific Institute for Research and Health CareMilanItaly
| | - Raffaella Fazio
- Neurology UnitSan Raffaele Scientific Institute, Scientific Institute for Research and Health CareMilanItaly
| | - Maria Antonietta Volontè
- Neurology UnitSan Raffaele Scientific Institute, Scientific Institute for Research and Health CareMilanItaly
| | - Giuseppe Magnani
- Neurology UnitSan Raffaele Scientific Institute, Scientific Institute for Research and Health CareMilanItaly
| | - Ubaldo Del Carro
- Neurophysiology UnitSan Raffaele Scientific Institute, Scientific Institute for Research and Health CareMilanItaly
| | - Paola Carrera
- Unit of Genomics for Human Disease DiagnosisLaboratory of Clinical Molecular BiologyDivision of Genetics and Cell BiologySan Raffaele Hospital, Scientific Institute for Research and Health CareMilanItaly
| | - Andrea Malaspina
- Centre for Neuroscience and TraumaBlizard InstituteQueen Mary University of LondonLondonUK
| | - Federica Agosta
- Neuroimaging Research UnitDivision of NeuroscienceInstitute of Experimental NeurologySan Raffaele Scientific Institute, Scientific Institute for Research and Health CareMilanItaly
- Vita‐Salute San Raffaele UniversityMilanItaly
| | - Angelo Quattrini
- Experimental Neuropathology UnitDivision of NeuroscienceInstitute of Experimental NeurologySan Raffaele Scientific InstituteMilanItaly
| | - Roberto Furlan
- Clinical Neuroimmunology UnitDivision of NeuroscienceInstitute of Experimental NeurologySan Raffaele Scientific InstituteMilanItaly
| | - Massimo Filippi
- Neurology UnitSan Raffaele Scientific Institute, Scientific Institute for Research and Health CareMilanItaly
- Neurophysiology UnitSan Raffaele Scientific Institute, Scientific Institute for Research and Health CareMilanItaly
- Neuroimaging Research UnitDivision of NeuroscienceInstitute of Experimental NeurologySan Raffaele Scientific Institute, Scientific Institute for Research and Health CareMilanItaly
- Vita‐Salute San Raffaele UniversityMilanItaly
- Neurorehabilitation UnitSan Raffaele Scientific Institute, Scientific Institute for Research and Health CareMilanItaly
| | - Nilo Riva
- Experimental Neuropathology UnitDivision of NeuroscienceInstitute of Experimental NeurologySan Raffaele Scientific InstituteMilanItaly
- Neurology UnitSan Raffaele Scientific Institute, Scientific Institute for Research and Health CareMilanItaly
- Neurorehabilitation UnitSan Raffaele Scientific Institute, Scientific Institute for Research and Health CareMilanItaly
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38
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Sirisi S, Querol-Vilaseca M, Dols-Icardo O, Pegueroles J, Montal V, Muñoz L, Torres S, Ferrer-Raventós P, Iulita MF, Sánchez-Aced É, Blesa R, Illán-Gala I, Molina-Porcel L, Borrego-Ecija S, Sánchez-Valle R, Clarimon J, Belbin O, Fortea J, Lleó A. Myelin loss in C9orf72 hexanucleotide expansion carriers. J Neurosci Res 2022; 100:1862-1875. [PMID: 35766328 DOI: 10.1002/jnr.25100] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2021] [Revised: 06/01/2022] [Accepted: 06/08/2022] [Indexed: 11/12/2022]
Abstract
The most frequent genetic cause of frontotemporal lobar degeneration (FTLD) and amyotrophic lateral sclerosis (ALS) is the hexanucleotide repeat expansion in C9orf72. An important neuropathological hallmark associated with this mutation is the accumulation of the phosphorylated form of TAR (trans-activation response element) DNA-binding protein 43 (pTDP-43). Glia plays a crucial role in the neurodegeneration observed in C9orf72-associated disorders. However, less is known about the role of oligodendrocytes (OLs). Here, we applied digital neuropathological methods to compare the expression pattern of glial cells in the frontal cortex (FrCx) of human post-mortem samples from patients with C9-FTLD and C9-FTLD/ALS, sporadic FTLD (sFTLD), and healthy controls (HCs). We also compared MBP levels in CSF from an independent clinical FTD cohort. We observed an increase in GFAP, and Iba1 immunoreactivity in C9 and sFTLD compared to controls in the gray matter (GM) of the FrCx. We observed a decrease in MBP immunoreactivity in the GM and white matter (WM) of the FrCx of C9, compared to HC and sFTLD. There was a negative correlation between MBP and pTDP-43 in C9 in the WM of the FrCx. We observed an increase in CSF MBP concentrations in C9 and sFTLD compared to HC. In conclusion, the C9 expansion is associated with myelin loss in the frontal cortex. This loss of MBP may be a result of oligodendroglial dysfunction due to the expansion or the presence of pTDP-43 in OLs. Understanding these biological processes will help to identify specific pathways associated with the C9orf72 expansion.
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Affiliation(s)
- Sònia Sirisi
- Memory Unit, Neurology Department and Sant Pau Biomedical Research Institute, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain.,Network Center for Biomedical Research in Neurodegenerative Diseases (CIBERNED), Madrid, Spain
| | - Marta Querol-Vilaseca
- Memory Unit, Neurology Department and Sant Pau Biomedical Research Institute, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain.,Network Center for Biomedical Research in Neurodegenerative Diseases (CIBERNED), Madrid, Spain
| | - Oriol Dols-Icardo
- Memory Unit, Neurology Department and Sant Pau Biomedical Research Institute, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain.,Network Center for Biomedical Research in Neurodegenerative Diseases (CIBERNED), Madrid, Spain
| | - Jordi Pegueroles
- Memory Unit, Neurology Department and Sant Pau Biomedical Research Institute, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain.,Network Center for Biomedical Research in Neurodegenerative Diseases (CIBERNED), Madrid, Spain
| | - Victor Montal
- Memory Unit, Neurology Department and Sant Pau Biomedical Research Institute, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain.,Network Center for Biomedical Research in Neurodegenerative Diseases (CIBERNED), Madrid, Spain
| | - Laia Muñoz
- Memory Unit, Neurology Department and Sant Pau Biomedical Research Institute, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain.,Network Center for Biomedical Research in Neurodegenerative Diseases (CIBERNED), Madrid, Spain
| | - Soraya Torres
- Memory Unit, Neurology Department and Sant Pau Biomedical Research Institute, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain.,Network Center for Biomedical Research in Neurodegenerative Diseases (CIBERNED), Madrid, Spain
| | - Paula Ferrer-Raventós
- Memory Unit, Neurology Department and Sant Pau Biomedical Research Institute, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain.,Network Center for Biomedical Research in Neurodegenerative Diseases (CIBERNED), Madrid, Spain
| | - Maria Florencia Iulita
- Memory Unit, Neurology Department and Sant Pau Biomedical Research Institute, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Érika Sánchez-Aced
- Memory Unit, Neurology Department and Sant Pau Biomedical Research Institute, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Rafael Blesa
- Memory Unit, Neurology Department and Sant Pau Biomedical Research Institute, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Ignacio Illán-Gala
- Memory Unit, Neurology Department and Sant Pau Biomedical Research Institute, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Laura Molina-Porcel
- Neurological Tissue Bank of the Biobanc-Hospital Clinic-IDIBAPS, Institut d'Investigacions Biomèdiques August Pi i Sunyer, Barcelona, Spain
| | - Sergi Borrego-Ecija
- Alzheimer's Disease and Other Cognitive Disorders Unit, Service of Neurology, Hospital Clínic, Institut d'Investigació Biomèdica August Pi i Sunyer, University of Barcelona, Barcelona, Spain
| | - Raquel Sánchez-Valle
- Neurological Tissue Bank of the Biobanc-Hospital Clinic-IDIBAPS, Institut d'Investigacions Biomèdiques August Pi i Sunyer, Barcelona, Spain.,Alzheimer's Disease and Other Cognitive Disorders Unit, Service of Neurology, Hospital Clínic, Institut d'Investigació Biomèdica August Pi i Sunyer, University of Barcelona, Barcelona, Spain
| | - Jordi Clarimon
- Memory Unit, Neurology Department and Sant Pau Biomedical Research Institute, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Olivia Belbin
- Memory Unit, Neurology Department and Sant Pau Biomedical Research Institute, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain.,Network Center for Biomedical Research in Neurodegenerative Diseases (CIBERNED), Madrid, Spain
| | - Juan Fortea
- Memory Unit, Neurology Department and Sant Pau Biomedical Research Institute, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain.,Network Center for Biomedical Research in Neurodegenerative Diseases (CIBERNED), Madrid, Spain
| | - Alberto Lleó
- Memory Unit, Neurology Department and Sant Pau Biomedical Research Institute, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain.,Network Center for Biomedical Research in Neurodegenerative Diseases (CIBERNED), Madrid, Spain
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39
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Ruffini N, Klingenberg S, Heese R, Schweiger S, Gerber S. The Big Picture of Neurodegeneration: A Meta Study to Extract the Essential Evidence on Neurodegenerative Diseases in a Network-Based Approach. Front Aging Neurosci 2022; 14:866886. [PMID: 35832065 PMCID: PMC9271745 DOI: 10.3389/fnagi.2022.866886] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Accepted: 05/13/2022] [Indexed: 12/12/2022] Open
Abstract
The common features of all neurodegenerative diseases, including Alzheimer's disease, Parkinson's disease, Amyotrophic Lateral Sclerosis (ALS), and Huntington's disease, are the accumulation of aggregated and misfolded proteins and the progressive loss of neurons, leading to cognitive decline and locomotive dysfunction. Still, they differ in their ultimate manifestation, the affected brain region, and the kind of proteinopathy. In the last decades, a vast number of processes have been described as associated with neurodegenerative diseases, making it increasingly harder to keep an overview of the big picture forming from all those data. In this meta-study, we analyzed genomic, transcriptomic, proteomic, and epigenomic data of the aforementioned diseases using the data of 234 studies in a network-based approach to study significant general coherences but also specific processes in individual diseases or omics levels. In the analysis part, we focus on only some of the emerging findings, but trust that the meta-study provided here will be a valuable resource for various other researchers focusing on specific processes or genes contributing to the development of neurodegeneration.
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Affiliation(s)
- Nicolas Ruffini
- Institute of Human Genetics, University Medical Center, Johannes Gutenberg University, Mainz, Germany
- Leibniz Institute for Resilience Research, Leibniz Association, Mainz, Germany
| | - Susanne Klingenberg
- Institute of Human Genetics, University Medical Center, Johannes Gutenberg University, Mainz, Germany
| | - Raoul Heese
- Fraunhofer Institute for Industrial Mathematics (ITWM), Kaiserslautern, Germany
| | - Susann Schweiger
- Institute of Human Genetics, University Medical Center, Johannes Gutenberg University, Mainz, Germany
| | - Susanne Gerber
- Institute of Human Genetics, University Medical Center, Johannes Gutenberg University, Mainz, Germany
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40
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Huang J, Li C, Shang H. Astrocytes in Neurodegeneration: Inspiration From Genetics. Front Neurosci 2022; 16:882316. [PMID: 35812232 PMCID: PMC9268899 DOI: 10.3389/fnins.2022.882316] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2022] [Accepted: 06/06/2022] [Indexed: 12/19/2022] Open
Abstract
Despite the discovery of numerous molecules and pathologies, the pathophysiology of various neurodegenerative diseases remains unknown. Genetics participates in the pathogenesis of neurodegeneration. Neural dysfunction, which is thought to be a cell-autonomous mechanism, is insufficient to explain the development of neurodegenerative disease, implying that other cells surrounding or related to neurons, such as glial cells, are involved in the pathogenesis. As the primary component of glial cells, astrocytes play a variety of roles in the maintenance of physiological functions in neurons and other glial cells. The pathophysiology of neurodegeneration is also influenced by reactive astrogliosis in response to central nervous system (CNS) injuries. Furthermore, those risk-gene variants identified in neurodegenerations are involved in astrocyte activation and senescence. In this review, we summarized the relationships between gene variants and astrocytes in four neurodegenerative diseases, including Alzheimer’s disease (AD), amyotrophic lateral sclerosis (ALS), frontotemporal dementia (FTD), and Parkinson’s disease (PD), and provided insights into the implications of astrocytes in the neurodegenerations.
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41
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Liu Y, Andreucci A, Iwamoto N, Yin Y, Yang H, Liu F, Bulychev A, Hu XS, Lin X, Lamore S, Patil S, Mohapatra S, Purcell-Estabrook E, Taborn K, Dale E, Vargeese C. Preclinical evaluation of WVE-004, aninvestigational stereopure oligonucleotide forthe treatment of C9orf72-associated ALS or FTD. MOLECULAR THERAPY. NUCLEIC ACIDS 2022; 28:558-570. [PMID: 35592494 PMCID: PMC9092894 DOI: 10.1016/j.omtn.2022.04.007] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/12/2021] [Accepted: 04/15/2022] [Indexed: 12/12/2022]
Abstract
A large hexanucleotide (G4C2) repeat expansion in the first intronic region of C9orf72 is the most common genetic cause of amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD). Several mechanisms have been proposed to explain how the repeat expansion drives disease, and we hypothesize that a variant-selective approach, in which transcripts affected by the repeat expansion are preferentially decreased, has the potential to address most of them. We report a stereopure antisense oligonucleotide, WVE-004, that executes this variant-selective mechanism of action. WVE-004 dose-dependently and selectively reduces repeat-containing transcripts in patient-derived motor neurons carrying a C9orf72-repeat expansion, as well as in the spinal cord and cortex of C9 BAC transgenic mice. In mice, selective transcript knockdown was accompanied by substantial decreases in dipeptide-repeat proteins, which are pathological biomarkers associated with the repeat expansion, and by preservation of healthy C9orf72 protein expression. These in vivo effects were durable, persisting for at least 6 months. These data support the advancement of WVE-004 as an investigational stereopure antisense oligonucleotide targeting C9orf72 for the treatment of C9orf72-associated ALS or FTD.
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Affiliation(s)
- Yuanjing Liu
- Wave Life Sciences, 733 Concord Avenue, Cambridge, MA 02138, USA
| | - Amy Andreucci
- Wave Life Sciences, 733 Concord Avenue, Cambridge, MA 02138, USA
| | - Naoki Iwamoto
- Wave Life Sciences, 733 Concord Avenue, Cambridge, MA 02138, USA
| | - Yuan Yin
- Wave Life Sciences, 733 Concord Avenue, Cambridge, MA 02138, USA
| | - Hailin Yang
- Wave Life Sciences, 733 Concord Avenue, Cambridge, MA 02138, USA
| | - Fangjun Liu
- Wave Life Sciences, 733 Concord Avenue, Cambridge, MA 02138, USA
| | - Alexey Bulychev
- Wave Life Sciences, 733 Concord Avenue, Cambridge, MA 02138, USA
| | - Xiao Shelley Hu
- Wave Life Sciences, 733 Concord Avenue, Cambridge, MA 02138, USA
| | - Xuena Lin
- Wave Life Sciences, 733 Concord Avenue, Cambridge, MA 02138, USA
| | - Sarah Lamore
- Wave Life Sciences, 733 Concord Avenue, Cambridge, MA 02138, USA
| | - Saurabh Patil
- Wave Life Sciences, 733 Concord Avenue, Cambridge, MA 02138, USA
| | | | | | - Kristin Taborn
- Wave Life Sciences, 733 Concord Avenue, Cambridge, MA 02138, USA
| | - Elena Dale
- Wave Life Sciences, 733 Concord Avenue, Cambridge, MA 02138, USA
| | - Chandra Vargeese
- Wave Life Sciences, 733 Concord Avenue, Cambridge, MA 02138, USA
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Westerhaus A, Joseph T, Meyers AJ, Jang Y, Na CH, Cave C, Sockanathan S. The distribution and function of GDE2, a regulator of spinal motor neuron survival, are disrupted in Amyotrophic Lateral Sclerosis. Acta Neuropathol Commun 2022; 10:73. [PMID: 35550203 PMCID: PMC9102353 DOI: 10.1186/s40478-022-01376-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Accepted: 04/25/2022] [Indexed: 02/02/2023] Open
Abstract
Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease that affects the viability of upper and lower motor neurons. Current options for treatment are limited, necessitating deeper understanding of the mechanisms underlying ALS pathogenesis. Glycerophosphodiester phosphodiesterase 2 (GDE2 or GDPD5) is a six-transmembrane protein that acts on the cell surface to cleave the glycosylphosphatidylinositol (GPI)-anchor that tethers some proteins to the membrane. GDE2 is required for the survival of spinal motor neurons but whether GDE2 neuroprotective activity is disrupted in ALS is not known. We utilized a combination of mouse models and patient post-mortem samples to evaluate GDE2 functionality in ALS. Haplogenetic reduction of GDE2 exacerbated motor neuron degeneration and loss in SOD1G93A mice but not in control SOD1WT transgenic animals, indicating that GDE2 neuroprotective function is diminished in the context of SOD1G93A. In tissue samples from patients with ALS, total levels of GDE2 protein were equivalent to healthy controls; however, membrane levels of GDE2 were substantially reduced. Indeed, GDE2 was found to aberrantly accumulate in intracellular compartments of ALS motor cortex, consistent with a disruption of GDE2 function at the cell surface. Supporting the impairment of GDE2 activity in ALS, tandem-mass-tag mass spectrometry revealed a pronounced reduction of GPI-anchored proteins released into the CSF of patients with ALS compared with control patients. Taken together, this study provides cellular and biochemical evidence that GDE2 distribution and activity is disrupted in ALS, supporting the notion that the failure of GDE2-dependent neuroprotective pathways contributes to neurodegeneration and motor neuron loss in disease. These observations highlight the dysregulation of GPI-anchored protein pathways as candidate mediators of disease onset and progression and accordingly, provide new insight into the mechanisms underlying ALS pathogenesis.
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Affiliation(s)
- Anna Westerhaus
- The Solomon Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, PCTB1004, 725 N. Wolfe Street, Baltimore, MD 21205 USA
| | - Thea Joseph
- Neuroscience Program, Middlebury College, 276 Bicentennial Way, Middlebury, VT 05753 USA
| | - Alison J. Meyers
- Neuroscience Program, Middlebury College, 276 Bicentennial Way, Middlebury, VT 05753 USA
| | - Yura Jang
- Department of Neurology, Institute for Cell Engineering, Johns Hopkins University School of Medicine, MRB 706, 733 N. Broadway, Baltimore, MD 21205 USA
| | - Chan Hyun Na
- Department of Neurology, Institute for Cell Engineering, Johns Hopkins University School of Medicine, MRB 706, 733 N. Broadway, Baltimore, MD 21205 USA
| | - Clinton Cave
- Neuroscience Program, Middlebury College, 276 Bicentennial Way, Middlebury, VT 05753 USA
| | - Shanthini Sockanathan
- The Solomon Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, PCTB1004, 725 N. Wolfe Street, Baltimore, MD 21205 USA
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Glass JD, Dewan R, Ding J, Gibbs JR, Dalgard C, Keagle PJ, Shankaracharya, García-Redondo A, Traynor BJ, Chia R, Landers JE. ATXN2 intermediate expansions in amyotrophic lateral sclerosis. Brain 2022; 145:2671-2676. [PMID: 35521889 PMCID: PMC9890463 DOI: 10.1093/brain/awac167] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2021] [Revised: 03/21/2022] [Accepted: 04/20/2022] [Indexed: 02/04/2023] Open
Abstract
Intermediate CAG (polyQ) expansions in the gene ataxin-2 (ATXN2) are now recognized as a risk factor for amyotrophic lateral sclerosis. The threshold for increased risk is not yet firmly established, with reports ranging from 27 to 31 repeats. We investigated the presence of ATXN2 polyQ expansions in 9268 DNA samples collected from people with amyotrophic lateral sclerosis, amyotrophic lateral sclerosis with frontotemporal dementia, frontotemporal dementia alone, Lewy body dementia and age matched controls. This analysis confirmed ATXN2 intermediate polyQ expansions of ≥31 as a risk factor for amyotrophic lateral sclerosis with an odds ratio of 6.31. Expansions were an even greater risk for amyotrophic lateral sclerosis with frontotemporal dementia (odds ratio 27.59) and a somewhat lesser risk for frontotemporal dementia alone (odds ratio 3.14). There was no increased risk for Lewy body dementia. In a subset of 1362 patients with amyotrophic lateral sclerosis with complete clinical data, we could not confirm previous reports of earlier onset of amyotrophic lateral sclerosis or shorter survival in 25 patients with expansions. These new data confirm ≥31 polyQ repeats in ATXN2 increase the risk for amyotrophic lateral sclerosis, and also for the first time show an even greater risk for amyotrophic lateral sclerosis with frontotemporal dementia. The lack of a more aggressive phenotype in amyotrophic lateral sclerosis patients with expansions has implications for ongoing gene-silencing trials for amyotrophic lateral sclerosis.
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Affiliation(s)
- Jonathan D Glass
- Correspondence to: Jonathan D. Glass, MD Department of Neurology, Emory University 101 Woodruff Circle, Atlanta, GA 30322, USA E-mail:
| | - Ramita Dewan
- Neuromuscular Diseases Research Section, Laboratory of Neurogenetics, National Institute on Aging, NIH, Bethesda, MD 20892, USA
| | - Jinhui Ding
- Neuromuscular Diseases Research Section, Laboratory of Neurogenetics, National Institute on Aging, NIH, Bethesda, MD 20892, USA,Computational Biology Group, Laboratory of Neurogenetics, National Institute on Aging, Bethesda, MD 20892, USA
| | - J Raphael Gibbs
- Computational Biology Group, Laboratory of Neurogenetics, National Institute on Aging, Bethesda, MD 20892, USA
| | - Clifton Dalgard
- Uniformed Services University of the Health Sciences, Bethesda, MD 20814, USA
| | - Pamela J Keagle
- Department of Neurology, University of Massachusetts Medical School, Worcester, MA 01605, USA
| | - Shankaracharya
- Department of Neurology, University of Massachusetts Medical School, Worcester, MA 01605, USA
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44
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Koçoğlu C, Van Broeckhoven C, van der Zee J. How network-based approaches can complement gene identification studies in frontotemporal dementia. Trends Genet 2022; 38:944-955. [DOI: 10.1016/j.tig.2022.05.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2021] [Revised: 05/04/2022] [Accepted: 05/04/2022] [Indexed: 11/17/2022]
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Chavda V, Patel C, Modh D, Ertas YN, Sonak SS, Munshi NK, Anand K, Soni A, Pandey S. Therapeutic Approaches to Amyotrophic Lateral Sclerosis from the Lab to the Clinic. Curr Drug Metab 2022; 23:200-222. [PMID: 35272595 DOI: 10.2174/1389200223666220310113110] [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] [Received: 04/15/2021] [Revised: 01/07/2022] [Accepted: 02/02/2022] [Indexed: 11/22/2022]
Abstract
Amyotrophic Lateral Sclerosis (ALS) is a terminal neuro-degenerative disorder that is clinically recognized as a gradual degeneration of the upper and lower motor neurons, with an average duration of 3 to 5 years from initiation of symptoms to death. The mechanisms underlying the pathogenesis and progression of the disease are multifactorial. Therefore, to find effective treatments, it is necessary to understand this heterogeneity underlying the progression of ALS. Recent developments in gene therapy have opened a new avenue to treat this condition, especially for the characterized genetic types. Gene therapy methods have been studied in a variety of pre-clinical settings and clinical trials, and they may be a promising path for developing an effective and safe ALS cure. A growing body of evidence demonstrates abnormalities in energy metabolism at the cellular and whole-body level in animal models and in people living with ALS. The use and incorporation of high-throughput "omics" methods has radically transformed our thought about ALS, strengthening our understanding of the disease's dynamic molecular architecture, differentiating distinct patient subtypes, and creating a reasonable basis for the identification of biomarkers and novel individualised treatments. Future clinical and laboratory trials would also focus on the diverse relationships between metabolism and ALS to address the issue of whether targeting deficient metabolism in ALS is an effective way to change disease progression. In this review, we focus on the detailed pathogenesis of ALS and highlight principal genes, i.e., SOD1, TDP-43, C9orf72, and FUS, targeted therapeutic approaches of ALS. An attempt is made to provide up-to-date information on clinical outcomes, including various biomarkers which are thought to be important players in early ALS detection.
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Affiliation(s)
- Vivek Chavda
- Department of Pharmaceutic, L M College of Pharmacy, Ahmedabad - 380009 (India)
| | - Chirag Patel
- Department of Pharmacology, L M College of Pharmacy, Ahmedabad - 380009 (India)
| | - Dharti Modh
- Department of pharmaceutical chemistry, Poona college of pharmacy, Bharti vidhyapith, Pune - 411030 (India)
| | - Yavuz Nuri Ertas
- Department of Biomedical Engineering at Erciyes University, Kayseri, Turkey
- ERNAM - Nanotechnology Research and Application Center, Erciyes University, Kayseri 38039, Turkey
| | - Shreya S Sonak
- Department of pharmaceutical chemistry, Poona college of pharmacy, Bharti vidhyapith, Pune - 411030 (India)
| | - Nafisa K Munshi
- Department of pharmaceutical chemistry, Poona college of pharmacy, Bharti vidhyapith, Pune - 411030 (India)
| | - Krishna Anand
- Department of Chemical Pathology, School of Pathology, Faculty of Health Sciences and National Health Laboratory Service, University of the Free State, Bloemfontein 9300, South Africa
| | - Arun Soni
- Department of Pharmacology, SSR College of Pharmacy, Silvassa, Dadra and Nagar Haveli - 396230(India)
| | - Sonal Pandey
- Research and Development, Meril Diagnostic Pvt. Ltd, Vapi - 396191 (India)
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46
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Davidson JM, Chung RS, Lee A. The converging roles of sequestosome-1/p62 in the molecular pathways of amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD). Neurobiol Dis 2022; 166:105653. [PMID: 35143965 DOI: 10.1016/j.nbd.2022.105653] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2021] [Revised: 01/18/2022] [Accepted: 02/03/2022] [Indexed: 01/03/2023] Open
Abstract
Investigations into the pathogenetic mechanisms underlying amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD) have provided significant insight into the disease. At the cellular level, ALS and FTD are classified as proteinopathies, which is motor neuron degeneration and death characterized by pathological protein aggregates or dysregulated proteostasis. At both the clinical and molecular level there are common signaling pathways dysregulated across the ALS and FTD spectrum (ALS/FTD). Sequestosome-1/p62 is a multifunctional scaffold protein with roles in several signaling pathways including proteostasis, protein degradation via the ubiquitin proteasome system and autophagy, the antioxidant response, inflammatory response, and apoptosis. Notably these pathways are dysregulated in ALS and FTD. Mutations in the functional domains of p62 provide links to the pathogenetic mechanisms of p62 and dyshomeostasis of p62 levels is noted in several types of ALS and FTD. We present here that the dysregulated ALS and FTD signaling pathways are linked, with p62 converging the molecular mechanisms. This review summarizes the current literature on the complex role of p62 in the pathogenesis across the ALS/FTD spectrum. The focus is on the underlying convergent molecular mechanisms of ALS and FTD-associated proteins and pathways that dysregulate p62 levels or are dysregulated by p62, with emphasis on how p62 is implicated across the ALS/FTD spectrum.
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Affiliation(s)
- Jennilee M Davidson
- Centre for Motor Neuron Disease Research, Macquarie Medical School, Faculty of Medicine, Health and Human Sciences, Macquarie University, 2 Technology Place, NSW 2109, Australia..
| | - Roger S Chung
- Centre for Motor Neuron Disease Research, Macquarie Medical School, Faculty of Medicine, Health and Human Sciences, Macquarie University, 2 Technology Place, NSW 2109, Australia..
| | - Albert Lee
- Centre for Motor Neuron Disease Research, Macquarie Medical School, Faculty of Medicine, Health and Human Sciences, Macquarie University, 2 Technology Place, NSW 2109, Australia..
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Agrawal I, Tripathi P, Biswas S. Mass Spectrometry Based Protein Biomarkers and Drug Target Discovery and Clinical Diagnosis in Age-Related Progressing Neurodegenerative Diseases. Drug Metab Rev 2022; 54:22-36. [PMID: 35038284 DOI: 10.1080/03602532.2022.2029475] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
Neurodegenerative diseases correspond to overly complex health disorders that are driven by intersecting pathophysiology that are often trapped in vicious cycles of degeneration and cognitive decline. The usual diagnostic route of these diseases is based on postmortem examination that involves identifying pathology that is specific to the disease in the brain. However, in such cases, accurate diagnosis of the specific disease is limited because clinical disease presentations are often complex that do not easily allow to discriminate patient's cognitive, behavioral, and functional impairment profiles. Additionally, an early identification and therapeutic intervention of these diseases is pivotal to slow the progression of neurodegeneration and extend healthy life span. Mass spectrometry-based techniques have proven to be hugely promising in biological sample analysis and discovery of biomarkers including protein and peptide biomarkers for potential drug target discovery. Recent studies on these biomarkers have demonstrated their potential for applications in early diagnostics and identifying therapeutic targets to battle against neurodegenerative diseases. In this review, we have presented principles of mass spectrometry (MS) and the associated workflows in analyzing and imaging biological samples for discovery of biomarkers. We have especially focused on age- related progressing neurodegenerative diseases such as Alzheimer's (AD) and Parkinson's disease (PD), Amyotrophic Lateral Sclerosis (ALS) and Frontotemporal dementia (FTD) and the related MS-based biomarkers developments for these diseases. Finally, we present a future perspective discussing the potential research directions ahead.
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Affiliation(s)
- Ishita Agrawal
- Molecular and Human Genetics, Institute of Science, Banaras Hindu University, Varanasi, India
| | - Pallavi Tripathi
- Manchester Institute of Biotechnology, The University of Manchester, 131 Princess Street, M1 7DN, Manchester, UK
| | - Shyamasri Biswas
- USA Prime Biotech LLC, 1330 NW 6th St., Suite A-2, Gainesville, FL 32601, USA
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48
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Jakkamsetti V, Balasubramaniam S, Grover N, Pascual JM. Mitochondrial disease manifestations in relation to transcriptome location and function. Mol Genet Metab 2022; 135:82-92. [PMID: 34972656 PMCID: PMC8858018 DOI: 10.1016/j.ymgme.2021.12.008] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/21/2021] [Revised: 12/15/2021] [Accepted: 12/16/2021] [Indexed: 01/03/2023]
Abstract
Localization within the nervous system provides context for neurological disease manifestations and treatment, with numerous disease mechanisms exhibiting predilect locations. In contrast, the molecular function of most disease-causing genes is generally considered dissociated from such brain regional correlations because most genes are expressed throughout the brain. We tested the factual basis for this dissociation by discerning between two distinct genetic disease mechanism possibilities: One, gene-specific, in which genetic disorders are poorly localizable because they are multiform at the molecular level, with each mutant gene acting more widely or complexly than via mere loss or gain of one function. The other, more general, where aspects shared by groups of genes such as membership in a gene set that sustains a concerted biological process accounts for a common or localizable phenotype. We analyzed mitochondrial substrate disorders as a paradigm of apparently heterogeneous diseases when considered from the point of view of their manifestations and individual function of their causal genes. We used publicly available transcriptomes, disease phenotypes published in peer-reviewed journals and Human Ontology classifications for 27 mitochondrial substrate metabolism diseases and analyzed if these disorders manifest common phenotypes and if this relates to common brain regions or cells as demarcated by their transcriptome. The most frequent phenotypic manifestations and brain structures involved were almost stereotypic regardless of the individual gene affected, correlating with the regional abundance of the transcriptome that served mitochondrial substrate metabolism. This also applied to the transcriptome of inhibitory neurons, which are dysfunctional in some mitochondrial diseases. This stands in contrast with resistance to dementia atrophy from other causes, which is known to also associate with greater expression of a similar fraction of the transcriptome. The results suggest that brain region or cell type dysfunction stemming from a broad process such as mitochondrial substrate metabolism is more relevant for disease manifestations than individual gene participation in specific molecular function.
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Affiliation(s)
- Vikram Jakkamsetti
- Rare Brain Disorders Program, Department of Neurology, The University of Texas Southwestern Medical Center, Dallas, TX, USA.
| | - Seema Balasubramaniam
- Independent scholar, The University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Nidhi Grover
- Independent scholar, The University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Juan M Pascual
- Rare Brain Disorders Program, Department of Neurology, The University of Texas Southwestern Medical Center, Dallas, TX, USA; Department of Physiology, The University of Texas Southwestern Medical Center, Dallas, TX, USA; Department of Pediatrics, The University of Texas Southwestern Medical Center, Dallas, TX, USA; Eugene McDermott Center for Human Growth & Development / Center for Human Genetics, The University of Texas Southwestern Medical Center, Dallas, TX, USA.
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49
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Thompson AG, Oeckl P, Feneberg E, Bowser R, Otto M, Fischer R, Kessler B, Turner MR. Advancing mechanistic understanding and biomarker development in amyotrophic lateral sclerosis. Expert Rev Proteomics 2021; 18:977-994. [PMID: 34758687 DOI: 10.1080/14789450.2021.2004890] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
INTRODUCTION Proteomic analysis has contributed significantly to the study of the neurodegenerative disease amyotrophic lateral sclerosis (ALS). It has helped to define the pathological change common to nearly all cases, namely intracellular aggregates of phosphorylated TDP-43, shifting the focus of pathogenesis in ALS toward RNA biology. Proteomics has also uniquely underpinned the delineation of disease mechanisms in model systems and has been central to recent advances in human ALS biomarker development. AREAS COVERED The contribution of proteomics to understanding the cellular pathological changes, disease mechanisms, and biomarker development in ALS are covered. EXPERT OPINION Proteomics has delivered unique insights into the pathogenesis of ALS and advanced the goal of objective measurements of disease activity to improve therapeutic trials. Further developments in sensitivity and quantification are expected, with application to the presymptomatic phase of human disease offering the hope of prevention strategies.
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Affiliation(s)
| | - Patrick Oeckl
- Department of Neurology, University of Ulm, Ulm, Germany.,German Center for Neurodegenerative Diseases (Dzne e.V.), Ulm, Germany
| | - Emily Feneberg
- Department of Neurology, Klinikum Rechts der Isar, Technical University Munich, Munich, Germany
| | - Robert Bowser
- Departments of Neurology and Translational Neuroscience, Barrow Neurological Institute, Phoenix, Arizona, USA
| | - Markus Otto
- Department of Neurology, University of Ulm, Ulm, Germany.,Department of Neurology, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany
| | - Roman Fischer
- Target Discovery Institute, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Benedikt Kessler
- Target Discovery Institute, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Martin R Turner
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
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50
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Jiang L, Lin W, Zhang C, Ash PEA, Verma M, Kwan J, van Vliet E, Yang Z, Cruz AL, Boudeau S, Maziuk BF, Lei S, Song J, Alvarez VE, Hovde S, Abisambra JF, Kuo MH, Kanaan N, Murray ME, Crary JF, Zhao J, Cheng JX, Petrucelli L, Li H, Emili A, Wolozin B. Interaction of tau with HNRNPA2B1 and N 6-methyladenosine RNA mediates the progression of tauopathy. Mol Cell 2021; 81:4209-4227.e12. [PMID: 34453888 PMCID: PMC8541906 DOI: 10.1016/j.molcel.2021.07.038] [Citation(s) in RCA: 73] [Impact Index Per Article: 24.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2020] [Revised: 06/14/2021] [Accepted: 07/28/2021] [Indexed: 12/12/2022]
Abstract
The microtubule-associated protein tau oligomerizes, but the actions of oligomeric tau (oTau) are unknown. We have used Cry2-based optogenetics to induce tau oligomers (oTau-c). Optical induction of oTau-c elicits tau phosphorylation, aggregation, and a translational stress response that includes stress granules and reduced protein synthesis. Proteomic analysis identifies HNRNPA2B1 as a principle target of oTau-c. The association of HNRNPA2B1 with endogenous oTau was verified in neurons, animal models, and human Alzheimer brain tissues. Mechanistic studies demonstrate that HNRNPA2B1 functions as a linker, connecting oTau with N6-methyladenosine (m6A) modified RNA transcripts. Knockdown of HNRNPA2B1 prevents oTau or oTau-c from associating with m6A or from reducing protein synthesis and reduces oTau-induced neurodegeneration. Levels of m6A and the m6A-oTau-HNRNPA2B1 complex are increased up to 5-fold in the brains of Alzheimer subjects and P301S tau mice. These results reveal a complex containing oTau, HNRNPA2B1, and m6A that contributes to the integrated stress response of oTau.
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Affiliation(s)
- Lulu Jiang
- Department of Pharmacology and Experimental Therapeutics, Boston University School of Medicine, Boston, MA 02118, USA
| | - Weiwei Lin
- Center for Network Systems Biology, Boston University School of Medicine, Boston, MA 02118, USA
| | - Cheng Zhang
- Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, MN 55905, USA
| | - Peter E A Ash
- Department of Pharmacology and Experimental Therapeutics, Boston University School of Medicine, Boston, MA 02118, USA
| | - Mamta Verma
- Department of Pharmacology and Experimental Therapeutics, Boston University School of Medicine, Boston, MA 02118, USA
| | - Julian Kwan
- Center for Network Systems Biology, Boston University School of Medicine, Boston, MA 02118, USA
| | - Emily van Vliet
- Department of Pharmacology and Experimental Therapeutics, Boston University School of Medicine, Boston, MA 02118, USA
| | - Zhuo Yang
- Department of Pharmacology and Experimental Therapeutics, Boston University School of Medicine, Boston, MA 02118, USA
| | - Anna Lourdes Cruz
- Department of Pharmacology and Experimental Therapeutics, Boston University School of Medicine, Boston, MA 02118, USA
| | - Samantha Boudeau
- Department of Pharmacology and Experimental Therapeutics, Boston University School of Medicine, Boston, MA 02118, USA
| | - Brandon F Maziuk
- Department of Pharmacology and Experimental Therapeutics, Boston University School of Medicine, Boston, MA 02118, USA
| | - Shuwen Lei
- Department of Pharmacology and Experimental Therapeutics, Boston University School of Medicine, Boston, MA 02118, USA
| | - Jaehyup Song
- Department of Pharmacology and Experimental Therapeutics, Boston University School of Medicine, Boston, MA 02118, USA
| | - Victor E Alvarez
- Department of Neurology, Boston University School of Medicine, Boston, MA 02118, USA
| | - Stacy Hovde
- Department of Biochemistry and Molecular Biology, Michigan State University, East Lansing, MI 48824, USA
| | - Jose F Abisambra
- Department of Neuroscience, University of Florida, Gainesville, FL 32611, USA
| | - Min-Hao Kuo
- Department of Biochemistry and Molecular Biology, Michigan State University, East Lansing, MI 48824, USA
| | - Nicholas Kanaan
- Department of Translational Science and Molecular Medicine, College of Human Medicine, Michigan State University, Grand Rapids, MI 49503, USA
| | - Melissa E Murray
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL 32224, USA
| | - John F Crary
- Department of Pathology, Mount Sinai Medical Center, New York, NY 10029, USA
| | - Jian Zhao
- Department of Electrical and Computer Engineering, Boston University, Boston, MA 02459, USA
| | - Ji-Xin Cheng
- Department of Electrical and Computer Engineering, Boston University, Boston, MA 02459, USA
| | | | - Hu Li
- Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, MN 55905, USA
| | - Andrew Emili
- Center for Network Systems Biology, Boston University School of Medicine, Boston, MA 02118, USA
| | - Benjamin Wolozin
- Department of Pharmacology and Experimental Therapeutics, Boston University School of Medicine, Boston, MA 02118, USA; Department of Neurology, Boston University School of Medicine, Boston, MA 02118, USA; Center for Neurophotonics, Boston University, Boston, MA 02215, USA; Center for Systems Neuroscience, Boston University, Boston, MA 02215, USA.
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