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Ropri AS, Lam TG, Kalia V, Buchanan HM, Bartosch AMW, Youth EHH, Xiao H, Ross SK, Jain A, Chakrabarty JK, Kang MS, Boyett D, Spinazzi EF, Iodice G, McGovern RA, Honig LS, Brown LM, Miller GW, McKhann GM, Teich AF. Alzheimer's disease CSF biomarkers correlate with early pathology and alterations in neuronal and glial gene expression. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.06.11.24308706. [PMID: 38947015 PMCID: PMC11213077 DOI: 10.1101/2024.06.11.24308706] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/02/2024]
Abstract
INTRODUCTION Normal pressure hydrocephalus (NPH) patients undergoing cortical shunting frequently show early AD pathology on cortical biopsy, which is predictive of progression to clinical AD. The objective of this study was to use samples from this cohort to identify CSF biomarkers for AD-related CNS pathophysiologic changes using tissue and fluids with early pathology, free of post-mortem artifact. METHODS We analyzed Simoa, proteomic, and metabolomic CSF data from 81 patients with previously documented pathologic and transcriptomic changes. RESULTS AD pathology on biopsy correlates with CSF β-amyloid-40/42, neurofilament light chain (NfL), and phospho-tau-181(p-tau181)/β-amyloid-42, while several gene expression modules correlate with NfL. Proteomic analysis highlights 7 core proteins that correlate with pathology and gene expression changes on biopsy, and metabolomic analysis of CSF identifies disease-relevant groups that correlate with biopsy data.. DISCUSSION As additional biomarkers are added to AD diagnostic panels, our work provides insight into the CNS pathophysiology these markers are tracking.
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Affiliation(s)
- Ali S. Ropri
- Department of Pathology and Cell Biology, Columbia University Irving Medical Center, New York, NY 10032, USA
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Tiffany G. Lam
- Department of Pathology and Cell Biology, Columbia University Irving Medical Center, New York, NY 10032, USA
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Vrinda Kalia
- Dept. of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY 10032, USA
| | - Heather M. Buchanan
- Department of Pathology and Cell Biology, Columbia University Irving Medical Center, New York, NY 10032, USA
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Anne Marie W. Bartosch
- Department of Pathology and Cell Biology, Columbia University Irving Medical Center, New York, NY 10032, USA
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Elliot H. H. Youth
- Department of Pathology and Cell Biology, Columbia University Irving Medical Center, New York, NY 10032, USA
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Harrison Xiao
- Department of Pathology and Cell Biology, Columbia University Irving Medical Center, New York, NY 10032, USA
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Sophie K. Ross
- Department of Pathology and Cell Biology, Columbia University Irving Medical Center, New York, NY 10032, USA
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Anu Jain
- Quantitative Proteomics and Metabolomics Center, Department of Biological Sciences, Columbia University, New York, NY 10027, USA
| | - Jayanta K. Chakrabarty
- Quantitative Proteomics and Metabolomics Center, Department of Biological Sciences, Columbia University, New York, NY 10027, USA
| | - Min Suk Kang
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, NY 10032, USA
- Department of Neurology, Columbia University, New York, NY 10032, USA
| | - Deborah Boyett
- Department of Neurosurgery, Columbia University, New York, NY 10032, USA
| | | | - Gail Iodice
- Ankyra Therapeutics, Cambridge, MA 02142, USA
| | - Robert A. McGovern
- Department of Neurosurgery, University of Minnesota, Minneapolis, MN 55455, USA
| | - Lawrence S. Honig
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, NY 10032, USA
- Department of Neurology, Columbia University, New York, NY 10032, USA
| | - Lewis M. Brown
- Quantitative Proteomics and Metabolomics Center, Department of Biological Sciences, Columbia University, New York, NY 10027, USA
| | - Gary W. Miller
- Dept. of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY 10032, USA
| | - Guy M. McKhann
- Department of Neurosurgery, Columbia University, New York, NY 10032, USA
| | - Andrew F. Teich
- Department of Pathology and Cell Biology, Columbia University Irving Medical Center, New York, NY 10032, USA
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, NY 10032, USA
- Department of Neurology, Columbia University, New York, NY 10032, USA
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Unuofin JO, Odeniyi OA, Majengbasan OS, Igwaran A, Moloantoa KM, Khetsha ZP, Iwarere SA, Daramola MO. Chitinases: expanding the boundaries of knowledge beyond routinized chitin degradation. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2024; 31:38045-38060. [PMID: 38789707 PMCID: PMC11195638 DOI: 10.1007/s11356-024-33728-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/18/2023] [Accepted: 05/15/2024] [Indexed: 05/26/2024]
Abstract
Chitinases, enzymes that degrade chitin, have long been studied for their role in various biological processes. They play crucial roles in the moulting process of invertebrates, the digestion of chitinous food, and defense against chitin-bearing pathogens. Additionally, chitinases are involved in physiological functions in crustaceans, such as chitinous food digestion, moulting, and stress response. Moreover, chitinases are universally distributed in organisms from viruses to mammals and have diverse functions including tissue degradation and remodeling, nutrition uptake, pathogen invasion, and immune response regulation. The discovery of these diverse functions expands our understanding of the biological significance and potential applications of chitinases. However, recent research has shown that chitinases possess several other functions beyond just chitin degradation. Their potential as biopesticides, therapeutic agents, and tools for bioremediation underscores their significance in addressing global challenges. More importantly, we noted that they may be applied as bioweapons if ethical regulations regarding production, engineering and application are overlooked.
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Affiliation(s)
- John Onolame Unuofin
- Sustainable Energy and Environment Research Group (SEERG), Department of Chemical Engineering, Faculty of Engineering, Built Environment and Information Technology, University of Pretoria, Private bag X20 Hatfield, Pretoria, 0028, South Africa.
| | | | | | - Aboi Igwaran
- The Life Science Center Biology, School of Sciences and Technology, Örebro University, 701 82, Örebro, Sweden
| | - Karabelo MacMillan Moloantoa
- Department of Microbiology, School of Life Sciences, College of Agriculture, Engineering and Science, University of Kwazulu Natal, Private Bag X540001, Durban, 4000, South Africa
| | - Zenzile Peter Khetsha
- Department of Agriculture, Central University of Technology, Free State, Private Bag X20539, Bloemfontein, 9300, South Africa
| | - Samuel Ayodele Iwarere
- Sustainable Energy and Environment Research Group (SEERG), Department of Chemical Engineering, Faculty of Engineering, Built Environment and Information Technology, University of Pretoria, Private bag X20 Hatfield, Pretoria, 0028, South Africa
| | - Michael Olawale Daramola
- Sustainable Energy and Environment Research Group (SEERG), Department of Chemical Engineering, Faculty of Engineering, Built Environment and Information Technology, University of Pretoria, Private bag X20 Hatfield, Pretoria, 0028, South Africa
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Hinsinger G, Du Trieu De Terdonck L, Urbach S, Salvetat N, Rival M, Galoppin M, Ripoll C, Cezar R, Laurent-Chabalier S, Demattei C, Agherbi H, Castelnovo G, Lehmann S, Rigau V, Marin P, Thouvenot E. CD138 as a Specific CSF Biomarker of Multiple Sclerosis. NEUROLOGY(R) NEUROIMMUNOLOGY & NEUROINFLAMMATION 2024; 11:e200230. [PMID: 38669615 PMCID: PMC11057439 DOI: 10.1212/nxi.0000000000200230] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Accepted: 01/30/2024] [Indexed: 04/28/2024]
Abstract
BACKGROUND AND OBJECTIVES The aim of this study was to identify novel biomarkers for multiple sclerosis (MS) diagnosis and prognosis, addressing the critical need for specific and prognostically valuable markers in the field. METHODS We conducted an extensive proteomic investigation, combining analysis of (1) CSF proteome from symptomatic controls, fast and slow converters after clinically isolated syndromes, and patients with relapsing-remitting MS (n = 10 per group) using label-free quantitative proteomics and (2) oligodendrocyte secretome changes under proinflammatory or proapoptotic conditions using stable isotope labeling by amino acids in cell culture. Proteins exhibiting differential abundance in both proteomic analyses were combined with other putative MS biomarkers, yielding a comprehensive list of 87 proteins that underwent quantification through parallel reaction monitoring (PRM) in a novel cohort, comprising symptomatic controls, inflammatory neurologic disease controls, and patients with MS at various disease stages (n = 10 per group). The 11 proteins that passed this qualification step were subjected to a new PRM assay within an expanded cohort comprising 158 patients with either MS at different disease stages or other inflammatory or noninflammatory neurologic disease controls. RESULTS This study unveiled a promising biomarker signature for MS, including previously established candidates, such as chitinase 3-like protein 1, chitinase 3-like protein 2, chitotriosidase, immunoglobulin kappa chain region C, neutrophil gelatinase-associated lipocalin, and CD27. In addition, we identified novel markers, namely cat eye syndrome critical region protein 1 (adenosine deaminase 2, a therapeutic target in multiple sclerosis) and syndecan-1, a proteoglycan, also known as plasma cell surface marker CD138 and acting as chitinase 3-like protein 1 receptor implicated in inflammation and cancer signaling. CD138 exhibited good diagnostic accuracy in distinguishing MS from inflammatory neurologic disorders (area under the curve [AUC] = 0.85, CI 0.75-0.95). CD138 immunostaining was also observed in the brains of patients with MS and cultured oligodendrocyte precursor cells but was absent in astrocytes. DISCUSSION These findings identify CD138 as a specific CSF biomarker for MS and suggest the selective activation of the chitinase 3-like protein 1/CD138 pathway within the oligodendrocyte lineage in MS. They offer promising prospects for improving MS diagnosis and prognosis by providing much-needed specificity and clinical utility. CLASSIFICATION OF EVIDENCE This study provides Class II evidence that CD138 distinguishes multiple sclerosis from other inflammatory neurologic disorders with an AUC of 0.85 (95% CI 0.75-0.95).
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Affiliation(s)
- Geoffrey Hinsinger
- From the IGF (G.H., L.D.T.D.T., S.U., M.R., M.G., C.R., P.M., E.T.), Université de Montpellier, CNRS, INSERM, Montpellier; Sys2Diag (N.S.), UMR 9005 CNRS / ALCEDIAG, Montpellier; Department of Neurology (M.R., H.A., G.C., E.T.), Nîmes University Hospital; IRMB (R.C.), Université de Montpellier, INSERM; Department of Immunology (R.C.), Nîmes University Hospital; Department of Biostatistics (S.L.-C., C.D.), Clinical Epidemiology, Public Health, and Innovation in Methodology, Nîmes University Hospital, Université de Montpellier; Biochemistry Department (S.L.), Hôpital Saint-Eloi; and Department of Pathology (V.R.), Montpellier University Hospital, France
| | - Lucile Du Trieu De Terdonck
- From the IGF (G.H., L.D.T.D.T., S.U., M.R., M.G., C.R., P.M., E.T.), Université de Montpellier, CNRS, INSERM, Montpellier; Sys2Diag (N.S.), UMR 9005 CNRS / ALCEDIAG, Montpellier; Department of Neurology (M.R., H.A., G.C., E.T.), Nîmes University Hospital; IRMB (R.C.), Université de Montpellier, INSERM; Department of Immunology (R.C.), Nîmes University Hospital; Department of Biostatistics (S.L.-C., C.D.), Clinical Epidemiology, Public Health, and Innovation in Methodology, Nîmes University Hospital, Université de Montpellier; Biochemistry Department (S.L.), Hôpital Saint-Eloi; and Department of Pathology (V.R.), Montpellier University Hospital, France
| | - Serge Urbach
- From the IGF (G.H., L.D.T.D.T., S.U., M.R., M.G., C.R., P.M., E.T.), Université de Montpellier, CNRS, INSERM, Montpellier; Sys2Diag (N.S.), UMR 9005 CNRS / ALCEDIAG, Montpellier; Department of Neurology (M.R., H.A., G.C., E.T.), Nîmes University Hospital; IRMB (R.C.), Université de Montpellier, INSERM; Department of Immunology (R.C.), Nîmes University Hospital; Department of Biostatistics (S.L.-C., C.D.), Clinical Epidemiology, Public Health, and Innovation in Methodology, Nîmes University Hospital, Université de Montpellier; Biochemistry Department (S.L.), Hôpital Saint-Eloi; and Department of Pathology (V.R.), Montpellier University Hospital, France
| | - Nicolas Salvetat
- From the IGF (G.H., L.D.T.D.T., S.U., M.R., M.G., C.R., P.M., E.T.), Université de Montpellier, CNRS, INSERM, Montpellier; Sys2Diag (N.S.), UMR 9005 CNRS / ALCEDIAG, Montpellier; Department of Neurology (M.R., H.A., G.C., E.T.), Nîmes University Hospital; IRMB (R.C.), Université de Montpellier, INSERM; Department of Immunology (R.C.), Nîmes University Hospital; Department of Biostatistics (S.L.-C., C.D.), Clinical Epidemiology, Public Health, and Innovation in Methodology, Nîmes University Hospital, Université de Montpellier; Biochemistry Department (S.L.), Hôpital Saint-Eloi; and Department of Pathology (V.R.), Montpellier University Hospital, France
| | - Manon Rival
- From the IGF (G.H., L.D.T.D.T., S.U., M.R., M.G., C.R., P.M., E.T.), Université de Montpellier, CNRS, INSERM, Montpellier; Sys2Diag (N.S.), UMR 9005 CNRS / ALCEDIAG, Montpellier; Department of Neurology (M.R., H.A., G.C., E.T.), Nîmes University Hospital; IRMB (R.C.), Université de Montpellier, INSERM; Department of Immunology (R.C.), Nîmes University Hospital; Department of Biostatistics (S.L.-C., C.D.), Clinical Epidemiology, Public Health, and Innovation in Methodology, Nîmes University Hospital, Université de Montpellier; Biochemistry Department (S.L.), Hôpital Saint-Eloi; and Department of Pathology (V.R.), Montpellier University Hospital, France
| | - Manon Galoppin
- From the IGF (G.H., L.D.T.D.T., S.U., M.R., M.G., C.R., P.M., E.T.), Université de Montpellier, CNRS, INSERM, Montpellier; Sys2Diag (N.S.), UMR 9005 CNRS / ALCEDIAG, Montpellier; Department of Neurology (M.R., H.A., G.C., E.T.), Nîmes University Hospital; IRMB (R.C.), Université de Montpellier, INSERM; Department of Immunology (R.C.), Nîmes University Hospital; Department of Biostatistics (S.L.-C., C.D.), Clinical Epidemiology, Public Health, and Innovation in Methodology, Nîmes University Hospital, Université de Montpellier; Biochemistry Department (S.L.), Hôpital Saint-Eloi; and Department of Pathology (V.R.), Montpellier University Hospital, France
| | - Chantal Ripoll
- From the IGF (G.H., L.D.T.D.T., S.U., M.R., M.G., C.R., P.M., E.T.), Université de Montpellier, CNRS, INSERM, Montpellier; Sys2Diag (N.S.), UMR 9005 CNRS / ALCEDIAG, Montpellier; Department of Neurology (M.R., H.A., G.C., E.T.), Nîmes University Hospital; IRMB (R.C.), Université de Montpellier, INSERM; Department of Immunology (R.C.), Nîmes University Hospital; Department of Biostatistics (S.L.-C., C.D.), Clinical Epidemiology, Public Health, and Innovation in Methodology, Nîmes University Hospital, Université de Montpellier; Biochemistry Department (S.L.), Hôpital Saint-Eloi; and Department of Pathology (V.R.), Montpellier University Hospital, France
| | - Renaud Cezar
- From the IGF (G.H., L.D.T.D.T., S.U., M.R., M.G., C.R., P.M., E.T.), Université de Montpellier, CNRS, INSERM, Montpellier; Sys2Diag (N.S.), UMR 9005 CNRS / ALCEDIAG, Montpellier; Department of Neurology (M.R., H.A., G.C., E.T.), Nîmes University Hospital; IRMB (R.C.), Université de Montpellier, INSERM; Department of Immunology (R.C.), Nîmes University Hospital; Department of Biostatistics (S.L.-C., C.D.), Clinical Epidemiology, Public Health, and Innovation in Methodology, Nîmes University Hospital, Université de Montpellier; Biochemistry Department (S.L.), Hôpital Saint-Eloi; and Department of Pathology (V.R.), Montpellier University Hospital, France
| | - Sabine Laurent-Chabalier
- From the IGF (G.H., L.D.T.D.T., S.U., M.R., M.G., C.R., P.M., E.T.), Université de Montpellier, CNRS, INSERM, Montpellier; Sys2Diag (N.S.), UMR 9005 CNRS / ALCEDIAG, Montpellier; Department of Neurology (M.R., H.A., G.C., E.T.), Nîmes University Hospital; IRMB (R.C.), Université de Montpellier, INSERM; Department of Immunology (R.C.), Nîmes University Hospital; Department of Biostatistics (S.L.-C., C.D.), Clinical Epidemiology, Public Health, and Innovation in Methodology, Nîmes University Hospital, Université de Montpellier; Biochemistry Department (S.L.), Hôpital Saint-Eloi; and Department of Pathology (V.R.), Montpellier University Hospital, France
| | - Christophe Demattei
- From the IGF (G.H., L.D.T.D.T., S.U., M.R., M.G., C.R., P.M., E.T.), Université de Montpellier, CNRS, INSERM, Montpellier; Sys2Diag (N.S.), UMR 9005 CNRS / ALCEDIAG, Montpellier; Department of Neurology (M.R., H.A., G.C., E.T.), Nîmes University Hospital; IRMB (R.C.), Université de Montpellier, INSERM; Department of Immunology (R.C.), Nîmes University Hospital; Department of Biostatistics (S.L.-C., C.D.), Clinical Epidemiology, Public Health, and Innovation in Methodology, Nîmes University Hospital, Université de Montpellier; Biochemistry Department (S.L.), Hôpital Saint-Eloi; and Department of Pathology (V.R.), Montpellier University Hospital, France
| | - Hanane Agherbi
- From the IGF (G.H., L.D.T.D.T., S.U., M.R., M.G., C.R., P.M., E.T.), Université de Montpellier, CNRS, INSERM, Montpellier; Sys2Diag (N.S.), UMR 9005 CNRS / ALCEDIAG, Montpellier; Department of Neurology (M.R., H.A., G.C., E.T.), Nîmes University Hospital; IRMB (R.C.), Université de Montpellier, INSERM; Department of Immunology (R.C.), Nîmes University Hospital; Department of Biostatistics (S.L.-C., C.D.), Clinical Epidemiology, Public Health, and Innovation in Methodology, Nîmes University Hospital, Université de Montpellier; Biochemistry Department (S.L.), Hôpital Saint-Eloi; and Department of Pathology (V.R.), Montpellier University Hospital, France
| | - Giovanni Castelnovo
- From the IGF (G.H., L.D.T.D.T., S.U., M.R., M.G., C.R., P.M., E.T.), Université de Montpellier, CNRS, INSERM, Montpellier; Sys2Diag (N.S.), UMR 9005 CNRS / ALCEDIAG, Montpellier; Department of Neurology (M.R., H.A., G.C., E.T.), Nîmes University Hospital; IRMB (R.C.), Université de Montpellier, INSERM; Department of Immunology (R.C.), Nîmes University Hospital; Department of Biostatistics (S.L.-C., C.D.), Clinical Epidemiology, Public Health, and Innovation in Methodology, Nîmes University Hospital, Université de Montpellier; Biochemistry Department (S.L.), Hôpital Saint-Eloi; and Department of Pathology (V.R.), Montpellier University Hospital, France
| | - Sylvain Lehmann
- From the IGF (G.H., L.D.T.D.T., S.U., M.R., M.G., C.R., P.M., E.T.), Université de Montpellier, CNRS, INSERM, Montpellier; Sys2Diag (N.S.), UMR 9005 CNRS / ALCEDIAG, Montpellier; Department of Neurology (M.R., H.A., G.C., E.T.), Nîmes University Hospital; IRMB (R.C.), Université de Montpellier, INSERM; Department of Immunology (R.C.), Nîmes University Hospital; Department of Biostatistics (S.L.-C., C.D.), Clinical Epidemiology, Public Health, and Innovation in Methodology, Nîmes University Hospital, Université de Montpellier; Biochemistry Department (S.L.), Hôpital Saint-Eloi; and Department of Pathology (V.R.), Montpellier University Hospital, France
| | - Valérie Rigau
- From the IGF (G.H., L.D.T.D.T., S.U., M.R., M.G., C.R., P.M., E.T.), Université de Montpellier, CNRS, INSERM, Montpellier; Sys2Diag (N.S.), UMR 9005 CNRS / ALCEDIAG, Montpellier; Department of Neurology (M.R., H.A., G.C., E.T.), Nîmes University Hospital; IRMB (R.C.), Université de Montpellier, INSERM; Department of Immunology (R.C.), Nîmes University Hospital; Department of Biostatistics (S.L.-C., C.D.), Clinical Epidemiology, Public Health, and Innovation in Methodology, Nîmes University Hospital, Université de Montpellier; Biochemistry Department (S.L.), Hôpital Saint-Eloi; and Department of Pathology (V.R.), Montpellier University Hospital, France
| | - Philippe Marin
- From the IGF (G.H., L.D.T.D.T., S.U., M.R., M.G., C.R., P.M., E.T.), Université de Montpellier, CNRS, INSERM, Montpellier; Sys2Diag (N.S.), UMR 9005 CNRS / ALCEDIAG, Montpellier; Department of Neurology (M.R., H.A., G.C., E.T.), Nîmes University Hospital; IRMB (R.C.), Université de Montpellier, INSERM; Department of Immunology (R.C.), Nîmes University Hospital; Department of Biostatistics (S.L.-C., C.D.), Clinical Epidemiology, Public Health, and Innovation in Methodology, Nîmes University Hospital, Université de Montpellier; Biochemistry Department (S.L.), Hôpital Saint-Eloi; and Department of Pathology (V.R.), Montpellier University Hospital, France
| | - Eric Thouvenot
- From the IGF (G.H., L.D.T.D.T., S.U., M.R., M.G., C.R., P.M., E.T.), Université de Montpellier, CNRS, INSERM, Montpellier; Sys2Diag (N.S.), UMR 9005 CNRS / ALCEDIAG, Montpellier; Department of Neurology (M.R., H.A., G.C., E.T.), Nîmes University Hospital; IRMB (R.C.), Université de Montpellier, INSERM; Department of Immunology (R.C.), Nîmes University Hospital; Department of Biostatistics (S.L.-C., C.D.), Clinical Epidemiology, Public Health, and Innovation in Methodology, Nîmes University Hospital, Université de Montpellier; Biochemistry Department (S.L.), Hôpital Saint-Eloi; and Department of Pathology (V.R.), Montpellier University Hospital, France
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Bauer A, Hegen H, Reindl M. Body fluid markers for multiple sclerosis and differential diagnosis from atypical demyelinating disorders. Expert Rev Mol Diagn 2024; 24:283-297. [PMID: 38533708 DOI: 10.1080/14737159.2024.2334849] [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: 11/28/2023] [Accepted: 03/21/2024] [Indexed: 03/28/2024]
Abstract
INTRODUCTION Body fluid markers could be helpful to predict the conversion into clinically definite multiple sclerosis (MS) in people with a first demyelinating event of the central nervous system (CNS). Consequently, biomarkers such as oligoclonal bands, which are integrated in the current MS diagnostic criteria, could assist early MS diagnosis. AREAS COVERED This review examines existing knowledge on a broad spectrum of body fluid markers in people with a first CNS demyelinating event, explores their potential to predict conversion to MS, to assess MS disease activity, as well as their utility to differentiate MS from atypical demyelinating disorders such as neuromyelitis optica spectrum disorder and myelin oligodendrocyte glycoprotein associated disease. EXPERT OPINION This field of research has shown a dramatic increase of evidence, especially in the last decade. Some biomarkers are already established in clinical routine (e.g. oligoclonal bands) while others are currently implemented (e.g. kappa free light chains) or considered as breakthroughs (e.g. neurofilament light). Determination of biomarkers poses challenges for continuous monitoring, especially if exclusively detectable in cerebrospinal fluid. A handful of biomarkers are measurable in blood which holds a significant potential.
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Affiliation(s)
- Angelika Bauer
- Clinical Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
- Institute of Hygiene and Medical Microbiology, Medical University of Innsbruck, Innsbruck, Austria
| | - Harald Hegen
- Clinical Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Markus Reindl
- Clinical Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
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Talaat F, Abdelatty S, Ragaie C, Dahshan A. Chitinase-3-like 1-protein in CSF: a novel biomarker for progression in patients with multiple sclerosis. Neurol Sci 2023; 44:3243-3252. [PMID: 36988727 PMCID: PMC10415417 DOI: 10.1007/s10072-023-06764-2] [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: 12/02/2022] [Accepted: 03/16/2023] [Indexed: 03/30/2023]
Abstract
BACKGROUND Chitinase -3-like 1-protein (CHI3L1) is a glycoside secreted by monocytes, microglia, and activated astrocytes. Its distribution in inflammatory lesions denotes its role in astrocytic response to modulate CNS inflammation. In multiple sclerosis (MS), CHI3L1 levels have been found to be influenced by disease severity, activity, and progression. We aimed to measure CSF level of CHI3L1 in patients with MS and correlate its level with disability measures for a possible role as a biomarker for disease progression. METHODS Fifty-two MS patients (30 relapsing-remitting MS and 22 progressive MS) and thirty-five age and sex-matched healthy controls were included. They all underwent full clinical assessment (including disability and cognitive scales), radiological assessment, and CSF level of CHI3L1. RESULTS Patients with MS had higher CSF level of CHI3L1 than controls. Patients with progressive forms had higher levels than relapsing forms. There were positive correlations between disease duration, number of attacks, total EDSS, and CSF level of CHI3L1. Patients who had higher level of CSF CHI3L1 showed worse performance in MMSE and BICAMS and more lesions in T2 MRI brain. A cut off value of 154 ng/mL was found between patients with RRMS and PMS patients. CONCLUSION CHI3L1 can be considered as a biomarker of disease progression. CHI3L1 level increases in progressive MS more than RRMS. Also, high CSF level of CHI3L1 was associated with more disability including motor, cognitive, and radiological aspects.
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Affiliation(s)
| | - Sahar Abdelatty
- Clinical Pathology Department, Cairo University, Giza, Egypt
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Maroto-García J, Martínez-Escribano A, Delgado-Gil V, Mañez M, Mugueta C, Varo N, García de la Torre Á, Ruiz-Galdón M. Biochemical biomarkers for multiple sclerosis. Clin Chim Acta 2023; 548:117471. [PMID: 37419300 DOI: 10.1016/j.cca.2023.117471] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Revised: 07/04/2023] [Accepted: 07/04/2023] [Indexed: 07/09/2023]
Abstract
INTRODUCTION Multiple sclerosis (MS) is the most frequent demyelinating disease of the central nervous system. Although there is currently no definite cure for MS, new therapies have recently been developed based on a continuous search for new biomarkers. DEVELOPMENT MS diagnosis relies on the integration of clinical, imaging and laboratory findings as there is still no singlepathognomonicclinical feature or diagnostic laboratory biomarker. The most commonly laboratory test used is the presence of immunoglobulin G oligoclonal bands (OCB) in cerebrospinal fluid of MS patients. This test is now included in the 2017 McDonald criteria as a biomarker of dissemination in time. Nevertheless, there are other biomarkers currently in use such as kappa free light chain, which has shown higher sensitivity and specificity for MS diagnosis than OCB. In addition, other potential laboratory tests involved in neuronal damage, demyelination and/or inflammation could be used for detecting MS. CONCLUSIONS CSF and serum biomarkers have been reviewed for their use in MS diagnosis and prognosis to stablish an accurate and prompt MS diagnosis, crucial to implement an adequate treatment and to optimize clinical outcomes over time.
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Affiliation(s)
- Julia Maroto-García
- Biochemistry Department, Clínica Universidad de Navarra, Spain; Department of Biochemistry and Molecular Biology. Faculty of Medicine. University of Malaga, Spain.
| | - Ana Martínez-Escribano
- Department of Biochemistry and Molecular Biology. Faculty of Medicine. University of Malaga, Spain; Laboratory Medicine, Hospital Clínico Universitario Virgen de la Arrixaca, IMIB-ARRIXACA, Murcia, Spain
| | - Virginia Delgado-Gil
- Neurology Department, Hospital Universitario Virgen de la Victoria, Malaga, Spain
| | - Minerva Mañez
- Neurology Department, Hospital Universitario Virgen de la Victoria, Malaga, Spain
| | - Carmen Mugueta
- Biochemistry Department, Clínica Universidad de Navarra, Spain
| | - Nerea Varo
- Biochemistry Department, Clínica Universidad de Navarra, Spain
| | - Ángela García de la Torre
- Clinical Analysis Service, Hospital Universitario Virgen de la Victoria, Malaga, Spain; The Biomedical Research Institute of Malaga (IBIMA), Malaga, Spain
| | - Maximiliano Ruiz-Galdón
- Department of Biochemistry and Molecular Biology. Faculty of Medicine. University of Malaga, Spain; Clinical Analysis Service, Hospital Universitario Virgen de la Victoria, Malaga, Spain; The Biomedical Research Institute of Malaga (IBIMA), Malaga, Spain
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7
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Ellen O, Ye S, Nheu D, Dass M, Pagnin M, Ozturk E, Theotokis P, Grigoriadis N, Petratos S. The Heterogeneous Multiple Sclerosis Lesion: How Can We Assess and Modify a Degenerating Lesion? Int J Mol Sci 2023; 24:11112. [PMID: 37446290 DOI: 10.3390/ijms241311112] [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: 05/18/2023] [Revised: 06/21/2023] [Accepted: 06/30/2023] [Indexed: 07/15/2023] Open
Abstract
Multiple sclerosis (MS) is a heterogeneous disease of the central nervous system that is governed by neural tissue loss and dystrophy during its progressive phase, with complex reactive pathological cellular changes. The immune-mediated mechanisms that promulgate the demyelinating lesions during relapses of acute episodes are not characteristic of chronic lesions during progressive MS. This has limited our capacity to target the disease effectively as it evolves within the central nervous system white and gray matter, thereby leaving neurologists without effective options to manage individuals as they transition to a secondary progressive phase. The current review highlights the molecular and cellular sequelae that have been identified as cooperating with and/or contributing to neurodegeneration that characterizes individuals with progressive forms of MS. We emphasize the need for appropriate monitoring via known and novel molecular and imaging biomarkers that can accurately detect and predict progression for the purposes of newly designed clinical trials that can demonstrate the efficacy of neuroprotection and potentially neurorepair. To achieve neurorepair, we focus on the modifications required in the reactive cellular and extracellular milieu in order to enable endogenous cell growth as well as transplanted cells that can integrate and/or renew the degenerative MS plaque.
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Affiliation(s)
- Olivia Ellen
- Department of Neuroscience, Central Clinical School, Monash University, Melborune, VIC 3004, Australia
| | - Sining Ye
- Department of Neuroscience, Central Clinical School, Monash University, Melborune, VIC 3004, Australia
| | - Danica Nheu
- Department of Neuroscience, Central Clinical School, Monash University, Melborune, VIC 3004, Australia
| | - Mary Dass
- Department of Neuroscience, Central Clinical School, Monash University, Melborune, VIC 3004, Australia
| | - Maurice Pagnin
- Department of Neuroscience, Central Clinical School, Monash University, Melborune, VIC 3004, Australia
| | - Ezgi Ozturk
- Department of Neuroscience, Central Clinical School, Monash University, Melborune, VIC 3004, Australia
| | - Paschalis Theotokis
- Laboratory of Experimental Neurology and Neuroimmunology, Department of Neurology, AHEPA University Hospital, Stilponos Kiriakides Str. 1, 54636 Thessaloniki, Greece
| | - Nikolaos Grigoriadis
- Laboratory of Experimental Neurology and Neuroimmunology, Department of Neurology, AHEPA University Hospital, Stilponos Kiriakides Str. 1, 54636 Thessaloniki, Greece
| | - Steven Petratos
- Department of Neuroscience, Central Clinical School, Monash University, Melborune, VIC 3004, Australia
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8
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Li F, Liu A, Zhao M, Luo L. Astrocytic Chitinase-3-like protein 1 in neurological diseases: Potential roles and future perspectives. J Neurochem 2023; 165:772-790. [PMID: 37026513 DOI: 10.1111/jnc.15824] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Revised: 08/17/2022] [Accepted: 03/29/2023] [Indexed: 04/08/2023]
Abstract
Chitinase-3-like protein 1 (CHI3L1) is a secreted glycoprotein characterized by its ability to regulate multiple biological processes, such as the inflammatory response and gene transcriptional signaling activation. Abnormal CHI3L1 expression has been associated with multiple neurological disorders and serves as a biomarker for the early detection of several neurodegenerative diseases. Aberrant CHI3L1 expression is also reportedly associated with brain tumor migration and metastasis, as well as contributions to immune escape, playing important roles in brain tumor progression. CHI3L1 is synthesized and secreted mainly by reactive astrocytes in the central nervous system. Thus, targeting astrocytic CHI3L1 could be a promising approach for the treatment of neurological diseases, such as traumatic brain injury, ischemic stroke, Alzheimer's disease, Parkinson's disease, multiple sclerosis, amyotrophic lateral sclerosis, and glioma. Based on current knowledge of CHI3L1, we assume that it acts as a molecule mediating several signaling pathways driving the initiation and progression of neurological disorders. This narrative review is the first to introduce the potential roles of astrocytic CHI3L1 in neurological disorders. We also equally explore astrocytic CHI3L1 mRNA expression under physiological and pathological conditions. Inhibiting CHI3L1 and disrupting its interaction with its receptors through multiple mechanisms of action are briefly discussed. These endeavors highlight the pivotal roles of astrocytic CHI3L1 in neurological disorders and could contribute to the development of effective inhibitors based on the strategy of structure-based drug discovery, which could be an attractive therapeutic approach for neurological disease treatment.
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Affiliation(s)
- Fei Li
- Precision Pharmacy and Drug Development Center, Department of Pharmacy, Tangdu Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China
- Department of Pharmacy, The Hospital of 92880 Troops, PLA Navy, Zhoushan, Zhejiang, China
| | - An Liu
- Precision Pharmacy and Drug Development Center, Department of Pharmacy, Tangdu Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China
| | - Minggao Zhao
- Precision Pharmacy and Drug Development Center, Department of Pharmacy, Tangdu Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China
- Institute of Medical Research, Northwestern Polytechnical University, Shaanxi, Xi'an, China
| | - Lanxin Luo
- Precision Pharmacy and Drug Development Center, Department of Pharmacy, Tangdu Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China
- Institute of Medical Research, Northwestern Polytechnical University, Shaanxi, Xi'an, China
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9
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Jang YO, Ahn HS, Dao TNT, Hong J, Shin W, Lim YM, Chung SJ, Lee JH, Liu H, Koo B, Kim MG, Kim K, Lee EJ, Shin Y. Magnetic transferrin nanoparticles (MTNs) assay as a novel isolation approach for exosomal biomarkers in neurological diseases. Biomater Res 2023; 27:12. [PMID: 36797805 PMCID: PMC9936675 DOI: 10.1186/s40824-023-00353-2] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Accepted: 02/05/2023] [Indexed: 02/18/2023] Open
Abstract
BACKGROUND Brain-derived exosomes released into the blood are considered a liquid biopsy to investigate the pathophysiological state, reflecting the aberrant heterogeneous pathways of pathological progression of the brain in neurological diseases. Brain-derived blood exosomes provide promising prospects for the diagnosis of neurological diseases, with exciting possibilities for the early and sensitive diagnosis of such diseases. However, the capability of traditional exosome isolation assays to specifically isolate blood exosomes and to characterize the brain-derived blood exosomal proteins by high-throughput proteomics for clinical specimens from patients with neurological diseases cannot be assured. We report a magnetic transferrin nanoparticles (MTNs) assay, which combined transferrin and magnetic nanoparticles to isolate brain-derived blood exosomes from clinical samples. METHODS The principle of the MTNs assay is a ligand-receptor interaction through transferrin on MTNs and transferrin receptor on exosomes, and electrostatic interaction via positively charged MTNs and negatively charged exosomes to isolate brain-derived blood exosomes. In addition, the MTNs assay is simple and rapid (< 35 min) and does not require any large instrument. We confirmed that the MTNs assay accurately and efficiently isolated exosomes from serum samples of humans with neurodegenerative diseases, such as dementia, Parkinson's disease (PD), and multiple sclerosis (MS). Moreover, we isolated exosomes from serum samples of 30 patients with three distinct neurodegenerative diseases and performed unbiased proteomic analysis to explore the pilot value of brain-derived blood protein profiles as biomarkers. RESULTS Using comparative statistical analysis, we found 21 candidate protein biomarkers that were significantly different among three groups of neurodegenerative diseases. CONCLUSION The MTNs assay is a convenient approach for the specific and affordable isolation of extracellular vesicles from body fluids for minimally-invasive diagnosis of neurological diseases.
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Affiliation(s)
- Yoon Ok Jang
- grid.15444.300000 0004 0470 5454Department of Biotechnology, College of Life Science and Biotechnology, Yonsei University, Seoul, 03722 Republic of Korea
| | - Hee-Sung Ahn
- grid.413967.e0000 0001 0842 2126Department of Convergence Medicine, Asan Medical Center, Seoul, 05505 Republic of Korea
| | - Thuy Nguyen Thi Dao
- grid.15444.300000 0004 0470 5454Department of Biotechnology, College of Life Science and Biotechnology, Yonsei University, Seoul, 03722 Republic of Korea
| | - JeongYeon Hong
- grid.413967.e0000 0001 0842 2126Asan Institute for Life Sciences, Asan Medical Center, Seoul, 05505 Republic of Korea ,grid.267370.70000 0004 0533 4667Department of Biomedical Sciences, University of Ulsan College of Medicine, Seoul, 05505 Republic of Korea
| | - Wangyong Shin
- grid.413967.e0000 0001 0842 2126Department of Neurology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, 05505 Republic of Korea
| | - Young-Min Lim
- grid.413967.e0000 0001 0842 2126Department of Neurology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, 05505 Republic of Korea
| | - Sun Ju Chung
- grid.413967.e0000 0001 0842 2126Department of Neurology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, 05505 Republic of Korea
| | - Jae-Hong Lee
- grid.413967.e0000 0001 0842 2126Department of Neurology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, 05505 Republic of Korea
| | - Huifang Liu
- grid.15444.300000 0004 0470 5454Department of Biotechnology, College of Life Science and Biotechnology, Yonsei University, Seoul, 03722 Republic of Korea
| | - Bonhan Koo
- grid.15444.300000 0004 0470 5454Department of Biotechnology, College of Life Science and Biotechnology, Yonsei University, Seoul, 03722 Republic of Korea
| | - Myoung Gyu Kim
- grid.15444.300000 0004 0470 5454Department of Biotechnology, College of Life Science and Biotechnology, Yonsei University, Seoul, 03722 Republic of Korea
| | - Kyunggon Kim
- Asan Institute for Life Sciences, Asan Medical Center, Seoul, 05505, Republic of Korea. .,Department of Biomedical Sciences, University of Ulsan College of Medicine, Seoul, 05505, Republic of Korea.
| | - Eun-Jae Lee
- Department of Neurology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, 05505, Republic of Korea.
| | - Yong Shin
- Department of Biotechnology, College of Life Science and Biotechnology, Yonsei University, Seoul, 03722, Republic of Korea.
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10
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Cerebrospinal Fluid Biomarkers in Differential Diagnosis of Multiple Sclerosis and Systemic Inflammatory Diseases with Central Nervous System Involvement. Biomedicines 2023; 11:biomedicines11020425. [PMID: 36830963 PMCID: PMC9953577 DOI: 10.3390/biomedicines11020425] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2022] [Revised: 01/19/2023] [Accepted: 01/30/2023] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND Diagnosis of multiple sclerosis (MS) is established on criteria according to clinical and radiological manifestation. Cerebrospinal fluid (CSF) analysis is an important part of differential diagnosis of MS and other inflammatory processes in the central nervous system (CNS). METHODS In total, 242 CSF samples were collected from patients undergoing differential MS diagnosis because of the presence of T2-hyperintensive lesions on brain MRI. The non-MS patients were subdivided into systemic inflammatory diseases with CNS involvement (SID) or cerebrovascular diseases (CVD) or other non-inflammatory diseases (NID). All samples were analyzed for the presence of oligoclonal bands and ELISA was performed for detection of: INF gamma, IL-6, neurofilaments light chain (NF-L), GFAP, CHI3L1, CXCL13, and osteopontin. RESULTS The level of IL-6 (p = 0.024), osteopontin (p = 0.0002), and NF-L (p = 0.002) was significantly different among groups. IL-6 (p = 0.0350) and NF-L (p = 0.0015) level was significantly higher in SID compared to NID patients. A significantly higher level of osteopontin (p = 0.00026) and NF-L (p = 0.002) in MS compared to NID population was noted. ROC analysis found weak diagnostic power for osteopontin and NFL-L. CONCLUSIONS The classical and non-standard markers of inflammatory process and neurodegeneration do not allow for sufficient differentiation between MS and non-MS inflammatory CNS disorders. Weak diagnostic power observed for the osteopontin and NF-L needs to be further investigated.
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11
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Campbell K, Cawley NX, Luke R, Scott KEJ, Johnson N, Farhat NY, Alexander D, Wassif CA, Li W, Cologna SM, Berry-Kravis E, Do AD, Dale RK, Porter FD. Identification of cerebral spinal fluid protein biomarkers in Niemann-Pick disease, type C1. Biomark Res 2023; 11:14. [PMID: 36721240 PMCID: PMC9887810 DOI: 10.1186/s40364-023-00448-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Accepted: 01/03/2023] [Indexed: 02/02/2023] Open
Abstract
BACKGROUND Niemann-Pick disease, type C1 (NPC1) is an ultrarare, recessive, lethal, lysosomal disease characterized by progressive cerebellar ataxia and cognitive impairment. Although the NPC1 phenotype is heterogeneous with variable age of onset, classical NPC1 is a pediatric disorder. Currently there are no therapies approved by the FDA and therapeutics trials for NPC1 are complicated by disease rarity, heterogeneity, and the relatively slow rate of neurological decline. Thus, identification of disease relevant biomarkers is necessary to provide tools that can support drug development efforts for this devastating neurological disease. METHODS Proximal extension assays (O-link® Explore 1536) were used to compare cerebrospinal fluid (CSF) samples from individuals with NPC1 enrolled in a natural history study and non-NPC1 comparison samples. Relative expression levels of 1467 proteins were determined, and candidate protein biomarkers were identified by evaluating fold-change and adjusted Kruskal-Wallis test p-values. Selected proteins were orthogonally confirmed using ELISA. To gain insight into disease progression and severity we evaluated the altered protein expression with respect to clinically relevant phenotypic aspects: NPC Neurological Severity Score (NPC1 NSS), Annual Severity Increment Score (ASIS) and age of neurological onset. RESULTS This study identified multiple proteins with altered levels in CSF from individuals with NPC1 compared to non-NPC1 samples. These included proteins previously shown to be elevated in NPC1 (NEFL, MAPT, CHIT1, CALB1) and additional proteins confirmed by orthogonal assays (PARK7, CALB2/calretinin, CHI3L1/YKL-40, MIF, CCL18 and ENO2). Correlations with clinically relevant phenotypic parameters demonstrated moderate negative (p = 0.0210, r = -0.41) and possible moderate positive (p = 0.0631, r = 0.33) correlation of CSF CALB2 levels with age of neurological onset and ASIS, respectively. CSF CHI3L1 levels showed a moderate positive (p = 0.0183, r = 0.40) correlation with the concurrent NPC1 NSS. A strong negative correlation (p = 0.0016, r = -0.648) was observed between CSF CCL18 and age of neurological onset for childhood/adolescent cases. CSF CCL18 levels also showed a strong positive correlation (p = 0.0017, r = 0.61) with ASIS. CONCLUSION Our study identified and validated multiple proteins in CSF from individuals with NPC1 that are candidates for further investigation in a larger cohort. These analytes may prove to be useful as supportive data in therapeutic trials. TRIAL REGISTRATIONS NCT00344331, NCT00001721, NCT02931682.
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Affiliation(s)
- Kiersten Campbell
- grid.420089.70000 0000 9635 8082Bioinformatics and Scientific Programming Core, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, 10CRC, Rm. 1-3330, 10 Center Dr., Bethesda, MD 20879 USA
| | - Niamh X. Cawley
- grid.420089.70000 0000 9635 8082Section On Molecular Dysmorphology, Division of Translational Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD USA
| | - Rachel Luke
- grid.420089.70000 0000 9635 8082Section On Molecular Dysmorphology, Division of Translational Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD USA
| | - Katelin E. J. Scott
- grid.420089.70000 0000 9635 8082Section On Molecular Dysmorphology, Division of Translational Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD USA
| | - Nicholas Johnson
- grid.420089.70000 0000 9635 8082Bioinformatics and Scientific Programming Core, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, 10CRC, Rm. 1-3330, 10 Center Dr., Bethesda, MD 20879 USA
| | - Nicole Y. Farhat
- grid.420089.70000 0000 9635 8082Section On Molecular Dysmorphology, Division of Translational Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD USA
| | - Derek Alexander
- grid.420089.70000 0000 9635 8082Section On Molecular Dysmorphology, Division of Translational Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD USA
| | - Christopher A. Wassif
- grid.420089.70000 0000 9635 8082Section On Molecular Dysmorphology, Division of Translational Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD USA
| | - Wenping Li
- grid.185648.60000 0001 2175 0319Department of Chemistry and Laboratory of Integrative Neuroscience, University of Illinois Chicago, Chicago, IL USA
| | - Stephanie M. Cologna
- grid.185648.60000 0001 2175 0319Department of Chemistry and Laboratory of Integrative Neuroscience, University of Illinois Chicago, Chicago, IL USA
| | | | - An Dang Do
- grid.420089.70000 0000 9635 8082Unit On Cellular Stress in Development and Diseases, Division of Translational Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD USA
| | - Ryan K. Dale
- grid.420089.70000 0000 9635 8082Bioinformatics and Scientific Programming Core, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, 10CRC, Rm. 1-3330, 10 Center Dr., Bethesda, MD 20879 USA
| | - Forbes D. Porter
- grid.420089.70000 0000 9635 8082Section On Molecular Dysmorphology, Division of Translational Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD USA
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Kaisey M, Lashgari G, Fert-Bober J, Ontaneda D, Solomon AJ, Sicotte NL. An Update on Diagnostic Laboratory Biomarkers for Multiple Sclerosis. Curr Neurol Neurosci Rep 2022; 22:675-688. [PMID: 36269540 DOI: 10.1007/s11910-022-01227-1] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/12/2022] [Indexed: 01/27/2023]
Abstract
PURPOSE For many patients, the multiple sclerosis (MS) diagnostic process can be lengthy, costly, and fraught with error. Recent research aims to address the unmet need for an accurate and simple diagnostic process through discovery of novel diagnostic biomarkers. This review summarizes recent studies on MS diagnostic fluid biomarkers, with a focus on blood biomarkers, and includes discussion of technical limitations and practical applicability. RECENT FINDINGS This line of research is in its early days. Accurate and easily obtainable biomarkers for MS have not yet been identified and validated, but several approaches to uncover them are underway. Continue efforts to define laboratory diagnostic biomarkers are likely to play an increasingly important role in defining MS at the earliest stages, leading to better long-term clinical outcomes.
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Affiliation(s)
- Marwa Kaisey
- Cedars-Sinai Medical Center Department of Neurology, 127 S. San Vicente Blvd, A6600, Los Angeles, CA, 90048, USA.
| | - Ghazal Lashgari
- Cedars-Sinai Medical Center Department of Neurology, 127 S. San Vicente Blvd, A6600, Los Angeles, CA, 90048, USA
| | - Justyna Fert-Bober
- Cedars-Sinai Medical Center Department of Neurology, 127 S. San Vicente Blvd, A6600, Los Angeles, CA, 90048, USA
| | - Daniel Ontaneda
- Mellen Center for Multiple Sclerosis, Neurological Institute, Cleveland Clinic, 9500 Euclid Ave. U10 Mellen Center, Cleveland, OH, 44106, USA
| | - Andrew J Solomon
- Department of Neurological Sciences, Larner College of Medicine at the University of Vermont University Health Center, Arnold 2, 1 South Prospect Street, Burlington, VT, 05401, USA
| | - Nancy L Sicotte
- Cedars-Sinai Medical Center Department of Neurology, 127 S. San Vicente Blvd, A6600, Los Angeles, CA, 90048, USA
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13
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Floro S, Carandini T, Pietroboni AM, De Riz MA, Scarpini E, Galimberti D. Role of Chitinase 3-like 1 as a Biomarker in Multiple Sclerosis: A Systematic Review and Meta-analysis. NEUROLOGY(R) NEUROIMMUNOLOGY & NEUROINFLAMMATION 2022; 9:9/4/e1164. [PMID: 35534236 PMCID: PMC9128043 DOI: 10.1212/nxi.0000000000001164] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Accepted: 02/17/2022] [Indexed: 04/12/2023]
Abstract
BACKGROUND AND OBJECTIVES Multiple sclerosis (MS) is an autoimmune disease confined in the CNS, and its course is frequently subtle and variable. Therefore, predictive biomarkers are needed. In this scenario, we conducted a systematic review and meta-analysis to evaluate the reliability of chitinase 3-like 1 as a biomarker of MS. METHODS Research through the main scientific databases (PubMed, Scopus, Web of Science, and Cochrane Library) published from January 2010 to December 2020 was performed using the following keywords: "chitinase 3-like 1 and multiple sclerosis" and "YKL40 and multiple sclerosis." Articles were selected according to the 2020 updated Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines by 2 authors independently, and data were extracted; 20 of the 90 studies screened were included in the meta-analysis. The main efficacy measure was represented by the standardized mean difference of CSF and blood CHI3L1 levels; Review Manager version 5.4 and R software applications were used for analysis. RESULTS Higher levels of CHI3L1 were found in CSF of 673 patients with MS compared with 336 healthy controls (size-weighted mean difference [SMD] 50.88; 95% CI = 44.98-56.79; p < 0.00001) and in 461 patients with MS than 283 patients with clinically isolated syndrome (CIS) (SMD 28.18; 95% CI = 23.59-32.76; p < 0.00001). Mean CSF CHI3L1 levels were significantly higher in 561 converting than 445 nonconverting CIS (SMD 30.6; 95% CI = 28.31-32.93; p < 0.00001). CSF CHI3L1 levels were significantly higher in patients with primary progressive MS (PPMS) than in patients with relapsing-remitting MS (RRMS) (SMD 43.15; 95% CI = 24.41-61.90; p < 0.00001) and in patients with secondary progressive MS (SMD 41.86 with 95% CI = 32.39-51.33; p < 0.00001). CSF CHI3L1 levels in 407 patients with MS during remission phase of disease were significantly higher than those in 395 patients with MS with acute relapse (SMD 10.48; 95% CI = 08.51-12.44; p < 0.00001). The performances of CHI3L1 in blood for differentiating patients with MS from healthy controls were not significant (SMD 0.48; 95% CI = -1.18 to 2.14; p: 0.57). DISCUSSION CSF levels of CHI3L1 have a strong correlation with the MS pathologic course, in particular with the mechanism of progression of the disease; it helps to distinguish the PPMS from the RRMS. The potential role of CHI3L1 in serum needs to be further studied in the future.
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Affiliation(s)
- Stefano Floro
- From the Fondazione IRCCS Ca' Granda (S.F., T.C., A.M.P., M.A.D.R., E.S., D.G.), Ospedale Policlinico; and University of Milan (S.F., E.S., D.G.), Milan, Italy
| | - Tiziana Carandini
- From the Fondazione IRCCS Ca' Granda (S.F., T.C., A.M.P., M.A.D.R., E.S., D.G.), Ospedale Policlinico; and University of Milan (S.F., E.S., D.G.), Milan, Italy
| | - Anna Margherita Pietroboni
- From the Fondazione IRCCS Ca' Granda (S.F., T.C., A.M.P., M.A.D.R., E.S., D.G.), Ospedale Policlinico; and University of Milan (S.F., E.S., D.G.), Milan, Italy
| | - Milena Alessandra De Riz
- From the Fondazione IRCCS Ca' Granda (S.F., T.C., A.M.P., M.A.D.R., E.S., D.G.), Ospedale Policlinico; and University of Milan (S.F., E.S., D.G.), Milan, Italy
| | - Elio Scarpini
- From the Fondazione IRCCS Ca' Granda (S.F., T.C., A.M.P., M.A.D.R., E.S., D.G.), Ospedale Policlinico; and University of Milan (S.F., E.S., D.G.), Milan, Italy
| | - Daniela Galimberti
- From the Fondazione IRCCS Ca' Granda (S.F., T.C., A.M.P., M.A.D.R., E.S., D.G.), Ospedale Policlinico; and University of Milan (S.F., E.S., D.G.), Milan, Italy
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14
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Rzagalinski I, Bogdanova A, Raghuraman BK, Geertsma ER, Hersemann L, Ziemssen T, Shevchenko A. FastCAT Accelerates Absolute Quantification of Proteins Using Multiple Short Nonpurified Chimeric Standards. J Proteome Res 2022; 21:1408-1417. [PMID: 35561006 PMCID: PMC9171895 DOI: 10.1021/acs.jproteome.2c00014] [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] [Indexed: 12/02/2022]
Abstract
![]()
Absolute (molar)
quantification of clinically relevant proteins
determines their reference values in liquid and solid biopsies. The
FastCAT (for Fast-track QconCAT) method employs multiple short (<50
kDa), stable-isotope labeled chimeric proteins (CPs) composed of concatenated
quantotypic (Q)-peptides representing the quantified proteins. Each
CP also comprises scrambled sequences of reference (R)-peptides that
relate its abundance to a single protein standard (bovine serum albumin,
BSA). FastCAT not only alleviates the need to purify CP or use sodium
dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE) but
also improves the accuracy, precision, and dynamic range of the absolute
quantification by grouping Q-peptides according to the expected abundance
of the target proteins. We benchmarked FastCAT against the reference
method of MS Western and tested it in the direct molar quantification
of neurological markers in human cerebrospinal fluid at the low ng/mL
level.
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Affiliation(s)
- Ignacy Rzagalinski
- Max Planck Institute of Molecular Cell Biology and Genetics, 01307 Dresden, Germany
| | - Aliona Bogdanova
- Max Planck Institute of Molecular Cell Biology and Genetics, 01307 Dresden, Germany
| | | | - Eric R Geertsma
- Max Planck Institute of Molecular Cell Biology and Genetics, 01307 Dresden, Germany
| | - Lena Hersemann
- Max Planck Institute of Molecular Cell Biology and Genetics, 01307 Dresden, Germany
| | - Tjalf Ziemssen
- Center of Clinical Neuroscience, Department of Neurology, University Hospital Carl Gustav Carus, Technical University of Dresden, 01307 Dresden, Germany
| | - Andrej Shevchenko
- Max Planck Institute of Molecular Cell Biology and Genetics, 01307 Dresden, Germany
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15
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Wesenhagen KE, Gobom J, Bos I, Vos SJ, Martinez‐Lage P, Popp J, Tsolaki M, Vandenberghe R, Freund‐Levi Y, Verhey F, Lovestone S, Streffer J, Dobricic V, Bertram L, Blennow K, Pikkarainen M, Hallikainen M, Kuusisto J, Laakso M, Soininen H, Scheltens P, Zetterberg H, Teunissen CE, Visser PJ, Tijms BM. Effects of age, amyloid, sex, and APOE ε4 on the CSF proteome in normal cognition. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2022; 14:e12286. [PMID: 35571963 PMCID: PMC9074716 DOI: 10.1002/dad2.12286] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Revised: 11/30/2021] [Accepted: 12/03/2021] [Indexed: 11/07/2022]
Abstract
Introduction It is important to understand which biological processes change with aging, and how such changes are associated with increased Alzheimer's disease (AD) risk. We studied how cerebrospinal fluid (CSF) proteomics changed with age and tested if associations depended on amyloid status, sex, and apolipoprotein E Ɛ4 genotype. Methods We included 277 cognitively intact individuals aged 46 to 89 years from Alzheimer's Disease Neuroimaging Initiative, European Medical Information Framework for Alzheimer's Disease Multimodal Biomarker Discovery, and Metabolic Syndrome in Men. In total, 1149 proteins were measured with liquid chromatography mass spectrometry with multiple reaction monitoring/Rules-Based Medicine, tandem mass tag mass spectrometry, and SOMAscan. We tested associations between age and protein levels in linear models and tested enrichment for Reactome pathways. Results Levels of 252 proteins increased with age independently of amyloid status. These proteins were associated with immune and signaling processes. Levels of 21 proteins decreased with older age exclusively in amyloid abnormal participants and these were enriched for extracellular matrix organization. Discussion We found amyloid-independent and -dependent CSF proteome changes with older age, perhaps representing physiological aging and early AD pathology.
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Affiliation(s)
- Kirsten E.J. Wesenhagen
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Amsterdam UMCVrije Universiteit AmsterdamAmsterdamthe Netherlands
| | - Johan Gobom
- Clinical Neurochemistry Lab, Institute of Neuroscience and PhysiologySahlgrenska University HospitalMölndalSweden
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and PhysiologyUniversity of GothenburgMölndalSweden
| | | | - Stephanie J.B. Vos
- Alzheimer Center Limburg, School for Mental Health and NeuroscienceMaastricht UniversityMaastrichtthe Netherlands
| | - Pablo Martinez‐Lage
- Center for Research and Advanced TherapiesCITA‐Alzheimers FoundationDonostia‐San SebastianSpain
| | - Julius Popp
- Geriatric Psychiatry, Department of Mental Health and PsychiatryGeneva University HospitalsGenevaSwitzerland
- Department of PsychiatryUniversity Hospital of LausanneLausanneSwitzerland
| | - Magda Tsolaki
- 1st Department of Neurology, AHEPA University Hospital, Medical School, Faculty of Health SciencesAristotle University of ThessalonikiMakedoniaThessalonikiGreece
| | - Rik Vandenberghe
- Neurology ServiceUniversity Hospitals LeuvenLeuvenBelgium
- Laboratory for Cognitive Neurology, Department of NeurosciencesKU LeuvenLeuvenBelgium
| | - Yvonne Freund‐Levi
- Department of Neurobiology, Care Sciences and Society, Division of NeurogeriatricsKarolinska InstitutetStockholmSweden
- School of Medical Sciences Örebro University and Dep of Psychiatry Örebro University HospitalÖrebroSweden
| | - Frans Verhey
- Alzheimer Center Limburg, School for Mental Health and NeuroscienceMaastricht UniversityMaastrichtthe Netherlands
| | - Simon Lovestone
- Janssen‐cilagHigh WycombeUK
- (at the time of study conduct)University of OxfordOxfordUK
| | - Johannes Streffer
- formerly Janssen R&D, LLC, Beerse, Belgium (at the time of study conduct)AC Immune SALausanneSwitzerland
- Department of Biomedical SciencesUniversity of AntwerpAntwerpBelgium
| | | | - Lars Bertram
- Lübeck UniversityLübeckGermany
- Center for Lifespan Changes in Brain and Cognition (LCBC), Department of PsychologyUniversity of OsloOsloNorway
| | | | - Kaj Blennow
- Clinical Neurochemistry Lab, Institute of Neuroscience and PhysiologySahlgrenska University HospitalMölndalSweden
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and PhysiologyUniversity of GothenburgMölndalSweden
| | - Maria Pikkarainen
- Institute of Clinical Medicine, NeurologyUniversity of Eastern FinlandKuopioFinland
| | - Merja Hallikainen
- Institute of Clinical MedicineInternal Medicineand Kuopio University HospitalUniversity of Eastern FinlandKuopioFinland
| | - Johanna Kuusisto
- Institute of Clinical MedicineInternal Medicineand Kuopio University HospitalUniversity of Eastern FinlandKuopioFinland
| | - Markku Laakso
- Institute of Clinical MedicineInternal Medicineand Kuopio University HospitalUniversity of Eastern FinlandKuopioFinland
| | - Hilkka Soininen
- Institute of Clinical Medicine, NeurologyUniversity of Eastern FinlandKuopioFinland
| | - Philip Scheltens
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Amsterdam UMCVrije Universiteit AmsterdamAmsterdamthe Netherlands
| | - Henrik Zetterberg
- Clinical Neurochemistry Lab, Institute of Neuroscience and PhysiologySahlgrenska University HospitalMölndalSweden
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and PhysiologyUniversity of GothenburgMölndalSweden
- Department of Neurodegenerative DiseaseUCL Institute of NeurologyLondonUK
- UK Dementia Research InstituteLondonUK
| | - Charlotte E. Teunissen
- Neurochemistry Lab, Department of Clinical Chemistry, Amsterdam Neuroscience, Amsterdam UMCVrije UniversiteitAmsterdamthe Netherlands
| | - Pieter Jelle Visser
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Amsterdam UMCVrije Universiteit AmsterdamAmsterdamthe Netherlands
- Alzheimer Center Limburg, School for Mental Health and NeuroscienceMaastricht UniversityMaastrichtthe Netherlands
- Department of Neurobiology, Care Sciences and Society, Division of NeurogeriatricsKarolinska InstitutetStockholmSweden
| | - Betty M. Tijms
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Amsterdam UMCVrije Universiteit AmsterdamAmsterdamthe Netherlands
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16
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Pachner AR. The Neuroimmunology of Multiple Sclerosis: Fictions and Facts. Front Neurol 2022; 12:796378. [PMID: 35197914 PMCID: PMC8858985 DOI: 10.3389/fneur.2021.796378] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2021] [Accepted: 12/16/2021] [Indexed: 11/13/2022] Open
Abstract
There have been tremendous advances in the neuroimmunology of multiple sclerosis over the past five decades, which have led to improved diagnosis and therapy in the clinic. However, further advances must take into account an understanding of some of the complex issues in the field, particularly an appreciation of “facts” and “fiction.” Not surprisingly given the incredible complexity of both the nervous and immune systems, our understanding of the basic biology of the disease is very incomplete. This lack of understanding has led to many controversies in the field. This review identifies some of these controversies and facts/fictions with relation to the basic neuroimmunology of the disease (cells and molecules), and important clinical issues. Fortunately, the field is in a healthy transition from excessive reliance on animal models to a broader understanding of the disease in humans, which will likely lead to many improved treatments especially of the neurodegeneration in multiple sclerosis (MS).
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Affiliation(s)
- Andrew R. Pachner
- Dartmouth–Hitchcock Medical Center, Lebanon, NH, United States
- Geisel School of Medicine, Dartmouth College, Hanover, NH, United States
- *Correspondence: Andrew R. Pachner
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17
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Alifirova V, Kamenskikh E, Koroleva E, Kolokolova E, Petrakovich A. Prognostic markers of multiple sclerosis. Zh Nevrol Psikhiatr Im S S Korsakova 2022; 122:22-27. [DOI: 10.17116/jnevro202212202122] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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18
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Schmid D, Warnken U, Latzer P, Hoffmann DC, Roth J, Kutschmann S, Jaschonek H, Rübmann P, Foltyn M, Vollmuth P, Winkler F, Seliger C, Felix M, Sahm F, Haas J, Reuss D, Bendszus M, Wildemann B, von Deimling A, Wick W, Kessler T. Diagnostic biomarkers from proteomic characterization of cerebrospinal fluid in patients with brain malignancies. J Neurochem 2021; 158:522-538. [PMID: 33735443 DOI: 10.1111/jnc.15350] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2021] [Revised: 03/11/2021] [Accepted: 03/11/2021] [Indexed: 12/23/2022]
Abstract
Recent technological advances in molecular diagnostics through liquid biopsies hold the promise to repetitively monitor tumor evolution and treatment response of brain malignancies without the need of invasive surgical tissue accrual. Here, we implemented a mass spectrometry-based protein analysis pipeline which identified hundreds of proteins in 251 cerebrospinal fluid (CSF) samples from patients with four types of brain malignancies (glioblastoma, lymphoma, brain metastasis, and leptomeningeal disease [LMD]) and from healthy individuals with a focus on glioblastoma in a retrospective and confirmatory prospective observational study. CSF proteome deregulation via disruption of the blood brain barrier appeared to be largely conserved across brain tumor entities. CSF analysis of glioblastoma patients identified two proteomic clusters that correlated with tumor size and patient survival. By integrating CSF data with proteomic analyses of matching glioblastoma tumor tissue and primary glioblastoma cells, we identified potential CSF biomarkers for glioblastoma, in particular chitinase-3-like protein 1 (CHI3L1) and glial fibrillary acidic protein (GFAP). Key findings were validated in a prospective cohort consisting of 35 glioma patients. Finally, in LMD patients who frequently undergo repeated CSF work-up, we explored our proteomic pipeline as a mean to profile consecutive CSF samples. Therefore, proteomic analysis of CSF in brain malignancies has the potential to reveal biomarkers for diagnosis and therapy monitoring.
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Affiliation(s)
- Dominic Schmid
- Clinical Cooperation Unit Neurooncology, German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany.,Department of Neurology and Neurooncology Program at the National Center for Tumor Diseases, Heidelberg University Hospital, Heidelberg, Germany.,Medical Faculty, University of Heidelberg, Heidelberg, Germany
| | - Uwe Warnken
- Clinical Cooperation Unit Neurooncology, German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany.,Functional Proteome Analysis, DKFZ, Heidelberg, Germany
| | - Pauline Latzer
- Clinical Cooperation Unit Neurooncology, German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Dirk C Hoffmann
- Clinical Cooperation Unit Neurooncology, German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany.,Department of Neurology and Neurooncology Program at the National Center for Tumor Diseases, Heidelberg University Hospital, Heidelberg, Germany.,Faculty of Biosciences, Heidelberg University, Heidelberg, Germany
| | - Judith Roth
- Clinical Cooperation Unit Neurooncology, German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Stefanie Kutschmann
- Clinical Cooperation Unit Neurooncology, German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Hannah Jaschonek
- Department of Neurology and Neurooncology Program at the National Center for Tumor Diseases, Heidelberg University Hospital, Heidelberg, Germany
| | - Petra Rübmann
- Clinical Cooperation Unit Neurooncology, German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Martha Foltyn
- Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany
| | - Philipp Vollmuth
- Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany
| | - Frank Winkler
- Clinical Cooperation Unit Neurooncology, German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany.,Department of Neurology and Neurooncology Program at the National Center for Tumor Diseases, Heidelberg University Hospital, Heidelberg, Germany
| | - Corinna Seliger
- Department of Neurology and Neurooncology Program at the National Center for Tumor Diseases, Heidelberg University Hospital, Heidelberg, Germany
| | - Marius Felix
- Clinical Cooperation Unit Neuropathology, DKTK, DKFZ, Heidelberg, Germany
| | - Felix Sahm
- Clinical Cooperation Unit Neuropathology, DKTK, DKFZ, Heidelberg, Germany.,Department of Neuropathology, Heidelberg University Hospital, Heidelberg, Germany
| | - Jürgen Haas
- Molecular Neuroimmunology, Heidelberg University Hospital, Heidelberg, Germany
| | - David Reuss
- Clinical Cooperation Unit Neuropathology, DKTK, DKFZ, Heidelberg, Germany.,Department of Neuropathology, Heidelberg University Hospital, Heidelberg, Germany
| | - Martin Bendszus
- Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany
| | - Brigitte Wildemann
- Department of Neurology and Neurooncology Program at the National Center for Tumor Diseases, Heidelberg University Hospital, Heidelberg, Germany.,Molecular Neuroimmunology, Heidelberg University Hospital, Heidelberg, Germany
| | - Andreas von Deimling
- Clinical Cooperation Unit Neuropathology, DKTK, DKFZ, Heidelberg, Germany.,Department of Neuropathology, Heidelberg University Hospital, Heidelberg, Germany
| | - Wolfgang Wick
- Clinical Cooperation Unit Neurooncology, German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany.,Department of Neurology and Neurooncology Program at the National Center for Tumor Diseases, Heidelberg University Hospital, Heidelberg, Germany
| | - Tobias Kessler
- Clinical Cooperation Unit Neurooncology, German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany.,Department of Neurology and Neurooncology Program at the National Center for Tumor Diseases, Heidelberg University Hospital, Heidelberg, Germany
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19
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Momtazmanesh S, Shobeiri P, Saghazadeh A, Teunissen CE, Burman J, Szalardy L, Klivenyi P, Bartos A, Fernandes A, Rezaei N. Neuronal and glial CSF biomarkers in multiple sclerosis: a systematic review and meta-analysis. Rev Neurosci 2021; 32:573-595. [PMID: 33594840 DOI: 10.1515/revneuro-2020-0145] [Citation(s) in RCA: 33] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2020] [Accepted: 01/15/2021] [Indexed: 12/29/2022]
Abstract
Multiple sclerosis (MS) is a neurodegenerative disease associated with inflammatory demyelination and astroglial activation, with neuronal and axonal damage as the leading factors of disability. We aimed to perform a meta-analysis to determine changes in CSF levels of neuronal and glial biomarkers, including neurofilament light chain (NFL), total tau (t-tau), chitinase-3-like protein 1 (CHI3L1), glial fibrillary acidic protein (GFAP), and S100B in various groups of MS (MS versus controls, clinically isolated syndrome (CIS) versus controls, CIS versus MS, relapsing-remitting MS (RRMS) versus progressive MS (PMS), and MS in relapse versus remission. According to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses, we included 64 articles in the meta-analysis, including 4071 subjects. For investigation of sources of heterogeneity, subgroup analysis, meta-regression, and sensitivity analysis were conducted. Meta-analyses were performed for comparisons including at least three individual datasets. NFL, GFAP, t-tau, CHI3L1, and S100B were higher in MS and NFL, t-tau, and CHI3L1 were also elevated in CIS patients than controls. CHI3L1 was the only marker with higher levels in MS than CIS. GFAP levels were higher in PMS versus RRMS, and NFL, t-tau, and CHI3L1 did not differ between different subtypes. Only levels of NFL were higher in patients in relapse than remission. Meta-regression showed influence of sex and disease severity on NFL and t-tau levels, respectively and disease duration on both. Added to the role of these biomarkers in determining prognosis and treatment response, to conclude, they may serve in diagnosis of MS and distinguishing different subtypes.
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Affiliation(s)
- Sara Momtazmanesh
- School of Medicine, Tehran University of Medical Sciences (TUMS), Children's Medical Center Hospital, Dr. Qarib St., Keshavarz Blvd, Tehran14194, Iran.,Systematic Review and Meta-Analysis Expert Group (SRMEG), Universal Scientific Education and Research Network (USERN), Tehran, Iran.,Research Center for Immunodeficiencies, Pediatrics Center of Excellence, Children's Medical Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Parnian Shobeiri
- School of Medicine, Tehran University of Medical Sciences (TUMS), Children's Medical Center Hospital, Dr. Qarib St., Keshavarz Blvd, Tehran14194, Iran.,Systematic Review and Meta-Analysis Expert Group (SRMEG), Universal Scientific Education and Research Network (USERN), Tehran, Iran
| | - Amene Saghazadeh
- Systematic Review and Meta-Analysis Expert Group (SRMEG), Universal Scientific Education and Research Network (USERN), Tehran, Iran.,Research Center for Immunodeficiencies, Pediatrics Center of Excellence, Children's Medical Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Charlotte E Teunissen
- Neurochemistry Laboratory, Department of Clinical Chemistry, Location VUmc, PK 2 BR 141, Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
| | - Joachim Burman
- Department of Neuroscience, Uppsala University Hospital, 75185Uppsala, Sweden
| | - Levente Szalardy
- Department of Neurology, Faculty of Medicine, Albert Szent-Györgyi Clinical Center, University of Szeged, Semmelweis u. 6, 6725Szeged, Hungary
| | - Peter Klivenyi
- Department of Neurology, Faculty of Medicine, Albert Szent-Györgyi Clinical Center, University of Szeged, Semmelweis u. 6, 6725Szeged, Hungary
| | - Ales Bartos
- Department of Neurology, Third Faculty of Medicine, Charles University, Ruska 87, 100 00Prague 10, Czech Republic
| | - Adelaide Fernandes
- Department of Pharmacological Sciences and Medicines, Faculty of Pharmacy, Universidade de Lisboa, Avenida Professor Gama Pinto, 1649-003Lisbon, Portugal
| | - Nima Rezaei
- Research Center for Immunodeficiencies, Pediatrics Center of Excellence, Children's Medical Center, Tehran University of Medical Sciences, Tehran, Iran.,Department of Immunology, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.,Network of Immunity in Infection, Malignancy and Autoimmunity (NIIMA), Universal Scientific Education and Research Network (USERN), Tehran, Iran
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20
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Tamam Y, Gunes B, Akbayir E, Kizilay T, Karaaslan Z, Koral G, Duzel B, Kucukali CI, Gunduz T, Kurtuncu M, Yilmaz V, Tuzun E, Turkoglu R. CSF levels of HoxB3 and YKL-40 may predict conversion from clinically isolated syndrome to relapsing remitting multiple sclerosis. Mult Scler Relat Disord 2020; 48:102697. [PMID: 33352356 DOI: 10.1016/j.msard.2020.102697] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2020] [Revised: 12/06/2020] [Accepted: 12/13/2020] [Indexed: 10/22/2022]
Abstract
INTRODUCTION Multiple sclerosis (MS) often initiates with an acute episode of neurological disturbance, known as clinically isolated syndrome (CIS). There is an unmet need for biomarkers that differentiate patients who will convert to MS and who will remain as CIS after the first attack. METHODS First attack serum and cerebrospinal fluid (CSF) samples of 33 CIS patients were collected and these patients were divided as those who converted to MS (CIS-MS, n=17) and those who continued as CIS (CIS-CIS, n=16) in a 3-year follow-up period. Levels of homeobox protein Hox-B3 (HoxB3) and YKL-40 were measured by ELISA in samples of CIS-CIS, CIS-MS, relapsing remitting MS (RRMS) patients (n=15) and healthy controls (n=20). RESULTS CIS-CIS patients showed significantly reduced CSF levels of YKL-40 and increased serum/CSF levels of HoxB3 compared with CIS-MS and RRMS patients. CIS-MS and RRMS patients had comparable YKL-40 and HoxB3 level profiles. Receiver operating characteristic (ROC) curve analysis showed the highest sensitivity for CSF HoxB3 measurements in prediction of CIS-MS conversion. Kaplan-Meier analysis demonstrated that CIS patients with lower CSF HoxB3 (<3.678 ng/ml) and higher CSF YKL-40 (>654.9 ng/ml) displayed a significantly shorter time to clinically definite MS. CONCLUSION CSF levels of HoxB3 and YKL-40 appear to predict CIS to MS conversion, especially when applied in combination. HoxB3, which is a transcription factor involved in immune cell activity, stands out as a potential candidate molecule with biomarker capacity for MS.
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Affiliation(s)
- Yusuf Tamam
- Department of Neurology, Faculty of Medicine, Dicle University, Diyarbakır, Turkey.
| | - Betul Gunes
- Department of Neurology, Faculty of Medicine, Dicle University, Diyarbakır, Turkey
| | - Ece Akbayir
- Department of Neuroscience, Aziz Sancar Institute of Experimental Medicine, Istanbul University, Istanbul, Turkey
| | - Tugce Kizilay
- Department of Neurology, Istanbul Haydarpasa Numune Training and Research Hospital, Istanbul, Turkey
| | - Zerrin Karaaslan
- Department of Neuroscience, Aziz Sancar Institute of Experimental Medicine, Istanbul University, Istanbul, Turkey
| | - Gizem Koral
- Department of Neuroscience, Aziz Sancar Institute of Experimental Medicine, Istanbul University, Istanbul, Turkey
| | - Berna Duzel
- Department of Neurology, Faculty of Medicine, Dicle University, Diyarbakır, Turkey
| | - Cem Ismail Kucukali
- Department of Neuroscience, Aziz Sancar Institute of Experimental Medicine, Istanbul University, Istanbul, Turkey
| | - Tuncay Gunduz
- Department of Neurology, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey
| | - Murat Kurtuncu
- Department of Neurology, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey
| | - Vuslat Yilmaz
- Department of Neuroscience, Aziz Sancar Institute of Experimental Medicine, Istanbul University, Istanbul, Turkey
| | - Erdem Tuzun
- Department of Neuroscience, Aziz Sancar Institute of Experimental Medicine, Istanbul University, Istanbul, Turkey
| | - Recai Turkoglu
- Department of Neurology, Istanbul Haydarpasa Numune Training and Research Hospital, Istanbul, Turkey
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21
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Schneider R, Bellenberg B, Gisevius B, Hirschberg S, Sankowski R, Prinz M, Gold R, Lukas C, Haghikia A. Chitinase 3-like 1 and neurofilament light chain in CSF and CNS atrophy in MS. NEUROLOGY-NEUROIMMUNOLOGY & NEUROINFLAMMATION 2020; 8:8/1/e906. [PMID: 33172960 PMCID: PMC7713721 DOI: 10.1212/nxi.0000000000000906] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/04/2020] [Accepted: 09/11/2020] [Indexed: 12/12/2022]
Abstract
Objective To investigate cross-sectional associations of CSF levels of neurofilament light chain (NfL) and of the newly emerging marker chitinase 3–like protein 1 (CHI3L1) with brain and spinal cord atrophy, which are established MRI markers of disease activity in MS, to study CHI3L1 and NfL in relapsing (RMS) and progressive MS (PMS), and to assess the expression of CHI3L1 in different cell types. Methods In a single-center study, 131 patients with MS (42 RMS and 89 PMS) were assessed for NfL and CHI3L1 concentrations in CSF, MRI-based spinal cord and brain volumetry, MS subtype, age, disease duration, and disability. We included 42 matched healthy controls receiving MRI. CHI3L1 expression of human brain cell types was examined in 2 published single-cell RNA sequencing data sets. Results CHI3L1 was associated with spinal cord volume (B = −1.07, 95% CI −2.04 to −0.11, p = 0.029) but not with brain volumes. NfL was associated with brain gray matter (B = −7.3, 95% CI −12.0 to −2.7, p = 0.003) but not with spinal cord volume. CHI3L1 was suitable to differentiate between progressive or relapsing MS (p = 0.015, OR 1.0103, CI for OR 1.002–1.0187), and its gene expression was found in MS-associated microglia and macrophages and in astrocytes of MS brains. Conclusions NfL and CHI3L1 in CSF were differentially related to brain and spinal cord atrophy. CSF CHI3L1 was associated with spinal cord volume loss and was less affected than NfL by disease duration and age, whereas CSF NfL was associated with brain gray matter atrophy. CSF NfL and CHI3L1 measurement provides complementary information regarding brain and spinal cord volumes. Classification of evidence This study provides Class II evidence that CSF CHI3L1 is associated with spinal cord volume loss and that CSF NfL is associated with gray matter atrophy.
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Affiliation(s)
- Ruth Schneider
- From the Department of Neurology (R. Schneider, B.G., S.H., R.G., A.H.), Institute of Neuroradiology (R. Schneider, B.B., C.L.), and Department of Radiology and Nuclear Medicine (C.L.), St. Josef Hospital, Ruhr University Bochum; Institute of Neuropathology (R. Sankowski, M.P.), Medical Faculty, Signalling Research Centers BIOSS and CIBSS (M.P.), and Center for Basics in NeuroModulation (NeuroModulBasics) (M.P.), Faculty of Medicine, University of Freiburg, Germany.
| | - Barbara Bellenberg
- From the Department of Neurology (R. Schneider, B.G., S.H., R.G., A.H.), Institute of Neuroradiology (R. Schneider, B.B., C.L.), and Department of Radiology and Nuclear Medicine (C.L.), St. Josef Hospital, Ruhr University Bochum; Institute of Neuropathology (R. Sankowski, M.P.), Medical Faculty, Signalling Research Centers BIOSS and CIBSS (M.P.), and Center for Basics in NeuroModulation (NeuroModulBasics) (M.P.), Faculty of Medicine, University of Freiburg, Germany
| | - Barbara Gisevius
- From the Department of Neurology (R. Schneider, B.G., S.H., R.G., A.H.), Institute of Neuroradiology (R. Schneider, B.B., C.L.), and Department of Radiology and Nuclear Medicine (C.L.), St. Josef Hospital, Ruhr University Bochum; Institute of Neuropathology (R. Sankowski, M.P.), Medical Faculty, Signalling Research Centers BIOSS and CIBSS (M.P.), and Center for Basics in NeuroModulation (NeuroModulBasics) (M.P.), Faculty of Medicine, University of Freiburg, Germany
| | - Sarah Hirschberg
- From the Department of Neurology (R. Schneider, B.G., S.H., R.G., A.H.), Institute of Neuroradiology (R. Schneider, B.B., C.L.), and Department of Radiology and Nuclear Medicine (C.L.), St. Josef Hospital, Ruhr University Bochum; Institute of Neuropathology (R. Sankowski, M.P.), Medical Faculty, Signalling Research Centers BIOSS and CIBSS (M.P.), and Center for Basics in NeuroModulation (NeuroModulBasics) (M.P.), Faculty of Medicine, University of Freiburg, Germany
| | - Roman Sankowski
- From the Department of Neurology (R. Schneider, B.G., S.H., R.G., A.H.), Institute of Neuroradiology (R. Schneider, B.B., C.L.), and Department of Radiology and Nuclear Medicine (C.L.), St. Josef Hospital, Ruhr University Bochum; Institute of Neuropathology (R. Sankowski, M.P.), Medical Faculty, Signalling Research Centers BIOSS and CIBSS (M.P.), and Center for Basics in NeuroModulation (NeuroModulBasics) (M.P.), Faculty of Medicine, University of Freiburg, Germany
| | - Marco Prinz
- From the Department of Neurology (R. Schneider, B.G., S.H., R.G., A.H.), Institute of Neuroradiology (R. Schneider, B.B., C.L.), and Department of Radiology and Nuclear Medicine (C.L.), St. Josef Hospital, Ruhr University Bochum; Institute of Neuropathology (R. Sankowski, M.P.), Medical Faculty, Signalling Research Centers BIOSS and CIBSS (M.P.), and Center for Basics in NeuroModulation (NeuroModulBasics) (M.P.), Faculty of Medicine, University of Freiburg, Germany
| | - Ralf Gold
- From the Department of Neurology (R. Schneider, B.G., S.H., R.G., A.H.), Institute of Neuroradiology (R. Schneider, B.B., C.L.), and Department of Radiology and Nuclear Medicine (C.L.), St. Josef Hospital, Ruhr University Bochum; Institute of Neuropathology (R. Sankowski, M.P.), Medical Faculty, Signalling Research Centers BIOSS and CIBSS (M.P.), and Center for Basics in NeuroModulation (NeuroModulBasics) (M.P.), Faculty of Medicine, University of Freiburg, Germany
| | - Carsten Lukas
- From the Department of Neurology (R. Schneider, B.G., S.H., R.G., A.H.), Institute of Neuroradiology (R. Schneider, B.B., C.L.), and Department of Radiology and Nuclear Medicine (C.L.), St. Josef Hospital, Ruhr University Bochum; Institute of Neuropathology (R. Sankowski, M.P.), Medical Faculty, Signalling Research Centers BIOSS and CIBSS (M.P.), and Center for Basics in NeuroModulation (NeuroModulBasics) (M.P.), Faculty of Medicine, University of Freiburg, Germany
| | - Aiden Haghikia
- From the Department of Neurology (R. Schneider, B.G., S.H., R.G., A.H.), Institute of Neuroradiology (R. Schneider, B.B., C.L.), and Department of Radiology and Nuclear Medicine (C.L.), St. Josef Hospital, Ruhr University Bochum; Institute of Neuropathology (R. Sankowski, M.P.), Medical Faculty, Signalling Research Centers BIOSS and CIBSS (M.P.), and Center for Basics in NeuroModulation (NeuroModulBasics) (M.P.), Faculty of Medicine, University of Freiburg, Germany
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