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Weishaupt JH, Körtvélyessy P, Schumann P, Valkadinov I, Weyen U, Hesebeck-Brinckmann J, Weishaupt K, Endres M, Andersen PM, Regensburger M, Dreger M, Koch JC, Conrad J, Meyer T. Tofersen decreases neurofilament levels supporting the pathogenesis of the SOD1 p.D91A variant in amyotrophic lateral sclerosis patients. COMMUNICATIONS MEDICINE 2024; 4:150. [PMID: 39054363 PMCID: PMC11272917 DOI: 10.1038/s43856-024-00573-0] [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: 01/14/2024] [Accepted: 07/05/2024] [Indexed: 07/27/2024] Open
Abstract
BACKGROUND Since the antisense oligonucleotide tofersen has recently become available for the treatment of amyotrophic lateral sclerosis (ALS) caused by mutations in SOD1, determining the causality of the over 230 SOD1 variants has become even more important. The most common SOD1 variant worldwide is p.D91A (c.272A > C), whose causality for ALS is contested when in a heterozygous state. The reason is the high allele frequency of SOD1D91A in Europe, exceeding 1% in Finno-Scandinavia. METHODS We present the clinical disease course and serum neurofilament light chain (NfL) results of treating 11 patients either homo- or heterozygous for the SOD1D91A allele for up to 16 months with tofersen. RESULTS Tofersen decreases serum neurofilament levels (sNFL), which are associated with the ALS progression rate, in the 6 ALS patients homozygous for SOD1D91A. We observe significantly lower sNfL levels in the 5 patients heterozygous for SOD1D91A. The results indicate that both mono- and bi-allelic SOD1D91A are causally relevant targets, with a possibly reduced effect size of SOD1D91Ahet. CONCLUSIONS The finding is relevant for decision making regarding tofersen treatment, patient counseling and inclusion of SOD1D91A patients in drug trials. As far as we are aware, the approach is conceptually new since it provides evidence for the causality of an ALS variant based on a biomarker response to gene-specific treatment.
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Affiliation(s)
- Jochen H Weishaupt
- Division of Neurodegenerative Disorders, Neurological University Clinic Mannheim, Medical Faculty Mannheim, Mannheim Center for Translational Neurosciences, Heidelberg University, Mannheim, Germany.
| | - Péter Körtvélyessy
- Charité - Universitätsmedizin Berlin, Humboldt-Universität zu Berlin, Center for ALS and other Motor Neuron Disorders, Berlin, Germany
- German Center for Neurodegenerative Diseases (DZNE), Research Site Magdeburg, Magdeburg, Germany
| | - Peggy Schumann
- Ambulanzpartner Soziotechnologie APST GmbH, Berlin, Germany
| | - Ivan Valkadinov
- Division of Neurodegenerative Disorders, Neurological University Clinic Mannheim, Medical Faculty Mannheim, Mannheim Center for Translational Neurosciences, Heidelberg University, Mannheim, Germany
| | - Ute Weyen
- Berufsgenossenschaftliches Universitätsklinikum Bergmannsheil, Department of Neurology, Center for ALS and other Motor Neuron Disorders, Bochum, Germany
| | - Jasper Hesebeck-Brinckmann
- Division of Neurodegenerative Disorders, Neurological University Clinic Mannheim, Medical Faculty Mannheim, Mannheim Center for Translational Neurosciences, Heidelberg University, Mannheim, Germany
| | - Kanchi Weishaupt
- Division of Neurodegenerative Disorders, Neurological University Clinic Mannheim, Medical Faculty Mannheim, Mannheim Center for Translational Neurosciences, Heidelberg University, Mannheim, Germany
| | - Matthias Endres
- Charité - Universitätsmedizin Berlin, Humboldt-Universität zu Berlin, Center for ALS and other Motor Neuron Disorders, Berlin, Germany
| | - Peter M Andersen
- Department of Clinical Sciences, Neuroscience, Umeå University, Umeå, Sweden
| | - Martin Regensburger
- Department of Molecular Neurology, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
- Deutsches Zentrum Immuntherapie (DZI), University Hospital Erlangen, Erlangen, Germany
| | - Marie Dreger
- Charité - Universitätsmedizin Berlin, Humboldt-Universität zu Berlin, Center for ALS and other Motor Neuron Disorders, Berlin, Germany
| | - Jan C Koch
- Clinic for Neurology, University Medicine Göttingen, Göttingen, Germany
| | - Julian Conrad
- Division of Neurodegenerative Disorders, Neurological University Clinic Mannheim, Medical Faculty Mannheim, Mannheim Center for Translational Neurosciences, Heidelberg University, Mannheim, Germany
| | - Thomas Meyer
- Charité - Universitätsmedizin Berlin, Humboldt-Universität zu Berlin, Center for ALS and other Motor Neuron Disorders, Berlin, Germany.
- Ambulanzpartner Soziotechnologie APST GmbH, Berlin, Germany.
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2
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Xu Z, Xu R. Current potential diagnostic biomarkers of amyotrophic lateral sclerosis. Rev Neurosci 2024; 0:revneuro-2024-0037. [PMID: 38976599 DOI: 10.1515/revneuro-2024-0037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2024] [Accepted: 06/13/2024] [Indexed: 07/10/2024]
Abstract
Amyotrophic lateral sclerosis (ALS) currently lacks the useful diagnostic biomarkers. The current diagnosis of ALS is mainly depended on the clinical manifestations, which contributes to the diagnostic delay and be difficult to make the accurate diagnosis at the early stage of ALS, and hinders the clinical early therapeutics. The more and more pathogenesis of ALS are found at the last 30 years, including excitotoxicity, the oxidative stress, the mitochondrial dysfunction, neuroinflammation, the altered energy metabolism, the RNA misprocessing and the most recent neuroimaging findings. The findings of these pathogenesis bring the new clues for searching the diagnostic biomarkers of ALS. At present, a large number of relevant studies about the diagnostic biomarkers are underway. The ALS pathogenesis related to the diagnostic biomarkers might lessen the diagnostic reliance on the clinical manifestations. Among them, the cortical altered signatures of ALS patients derived from both structural and functional magnetic resonance imaging and the emerging proteomic biomarkers of neuronal loss and glial activation in the cerebrospinal fluid as well as the potential biomarkers in blood, serum, urine, and saliva are leading a new phase of biomarkers. Here, we reviewed these current potential diagnostic biomarkers of ALS.
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Affiliation(s)
- Zheqi Xu
- Department of Neurology, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang 330006, China
- The Clinical College of Nanchang Medical College, Nanchang 330006, China
- Medical College of Nanchang University, Nanchang 330006, China
| | - Renshi Xu
- Department of Neurology, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang 330006, China
- The Clinical College of Nanchang Medical College, Nanchang 330006, China
- Medical College of Nanchang University, Nanchang 330006, China
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3
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Wohnrade C, Seeliger T, Gingele S, Bjelica B, Skripuletz T, Petri S. Diagnostic value of neurofilaments in differentiating motor neuron disease from multifocal motor neuropathy. J Neurol 2024; 271:4441-4452. [PMID: 38683209 PMCID: PMC11233354 DOI: 10.1007/s00415-024-12355-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2024] [Revised: 03/23/2024] [Accepted: 03/26/2024] [Indexed: 05/01/2024]
Abstract
OBJECTIVE To evaluate the performance of serum neurofilament light chain (NfL) and cerebrospinal fluid (CSF) phosphorylated neurofilament heavy chain (pNfH) as diagnostic biomarkers for the differentiation between motor neuron disease (MND) and multifocal motor neuropathy (MMN). METHODS This retrospective, monocentric study included 16 patients with MMN and 34 incident patients with MND. A subgroup of lower motor neuron (MN) dominant MND patients (n = 24) was analyzed separately. Serum NfL was measured using Ella automated immunoassay, and CSF pNfH was measured using enzyme-linked immunosorbent assay. Area under the curve (AUC), optimal cutoff values (Youden's index), and correlations with demographic characteristics were calculated. RESULTS Neurofilament concentrations were significantly higher in MND compared to MMN (p < 0.001), and serum NfL and CSF pNfH correlated strongly with each other (Spearman's rho 0.68, p < 0.001). Serum NfL (AUC 0.946, sensitivity and specificity 94%) and CSF pNfH (AUC 0.937, sensitivity 90.0%, specificity 100%) performed excellent in differentiating MND from MMN. Optimal cutoff values were ≥ 44.15 pg/mL (serum NfL) and ≥ 715.5 pg/mL (CSF pNfH), respectively. Similar results were found when restricting the MND cohort to lower MN dominant patients. Only one MMN patient had serum NfL above the cutoff. Two MND patients presented with neurofilament concentrations below the cutoffs, both featuring a slowly progressive disease. CONCLUSION Neurofilaments are valuable supportive biomarkers for the differentiation between MND and MMN. Serum NfL and CSF pNfH perform similarly well and elevated neurofilaments in case of diagnostic uncertainty underpin MND diagnosis.
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Affiliation(s)
- Camilla Wohnrade
- Department of Neurology, Hannover Medical School, 30625, Hannover, Germany.
| | - Tabea Seeliger
- Department of Neurology, Hannover Medical School, 30625, Hannover, Germany
| | - Stefan Gingele
- Department of Neurology, Hannover Medical School, 30625, Hannover, Germany
| | - Bogdan Bjelica
- Department of Neurology, Hannover Medical School, 30625, Hannover, Germany
| | - Thomas Skripuletz
- Department of Neurology, Hannover Medical School, 30625, Hannover, Germany
| | - Susanne Petri
- Department of Neurology, Hannover Medical School, 30625, Hannover, Germany
- Center for Systems Neuroscience (ZSN) Hannover, 30559, Hannover, Germany
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4
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Khalil M, Teunissen CE, Lehmann S, Otto M, Piehl F, Ziemssen T, Bittner S, Sormani MP, Gattringer T, Abu-Rumeileh S, Thebault S, Abdelhak A, Green A, Benkert P, Kappos L, Comabella M, Tumani H, Freedman MS, Petzold A, Blennow K, Zetterberg H, Leppert D, Kuhle J. Neurofilaments as biomarkers in neurological disorders - towards clinical application. Nat Rev Neurol 2024; 20:269-287. [PMID: 38609644 DOI: 10.1038/s41582-024-00955-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/15/2024] [Indexed: 04/14/2024]
Abstract
Neurofilament proteins have been validated as specific body fluid biomarkers of neuro-axonal injury. The advent of highly sensitive analytical platforms that enable reliable quantification of neurofilaments in blood samples and simplify longitudinal follow-up has paved the way for the development of neurofilaments as a biomarker in clinical practice. Potential applications include assessment of disease activity, monitoring of treatment responses, and determining prognosis in many acute and chronic neurological disorders as well as their use as an outcome measure in trials of novel therapies. Progress has now moved the measurement of neurofilaments to the doorstep of routine clinical practice for the evaluation of individuals. In this Review, we first outline current knowledge on the structure and function of neurofilaments. We then discuss analytical and statistical approaches and challenges in determining neurofilament levels in different clinical contexts and assess the implications of neurofilament light chain (NfL) levels in normal ageing and the confounding factors that need to be considered when interpreting NfL measures. In addition, we summarize the current value and potential clinical applications of neurofilaments as a biomarker of neuro-axonal damage in a range of neurological disorders, including multiple sclerosis, Alzheimer disease, frontotemporal dementia, amyotrophic lateral sclerosis, stroke and cerebrovascular disease, traumatic brain injury, and Parkinson disease. We also consider the steps needed to complete the translation of neurofilaments from the laboratory to the management of neurological diseases in clinical practice.
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Affiliation(s)
- Michael Khalil
- Department of Neurology, Medical University of Graz, Graz, Austria.
| | - Charlotte E Teunissen
- Neurochemistry Laboratory Department of Laboratory Medicine, Amsterdam Neuroscience, Amsterdam University Medical Centers, Vrije Universiteit, Amsterdam, Netherlands
| | - Sylvain Lehmann
- LBPC-PPC, Université de Montpellier, INM INSERM, IRMB CHU de Montpellier, Montpellier, France
| | - Markus Otto
- Department of Neurology, Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany
| | - Fredrik Piehl
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Tjalf Ziemssen
- Center of Clinical Neuroscience, Department of Neurology, Faculty of Medicine and University Hospital Carl Gustav Carus, TU Dresden, Dresden, Germany
| | - Stefan Bittner
- Department of Neurology, Focus Program Translational Neuroscience (FTN), and Immunotherapy (FZI), Rhine-Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Maria Pia Sormani
- Department of Health Sciences, University of Genova, Genova, Italy
- IRCCS Ospedale Policlinico San Martino, Genova, Italy
| | - Thomas Gattringer
- Department of Neurology, Medical University of Graz, Graz, Austria
- Division of Neuroradiology, Vascular and Interventional Radiology, Department of Radiology, Medical University of Graz, Graz, Austria
| | - Samir Abu-Rumeileh
- Department of Neurology, Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany
| | - Simon Thebault
- Multiple Sclerosis Division, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Ahmed Abdelhak
- Weill Institute for Neurosciences, Department of Neurology, University of California at San Francisco, San Francisco, CA, USA
| | - Ari Green
- Weill Institute for Neurosciences, Department of Neurology, University of California at San Francisco, San Francisco, CA, USA
| | - Pascal Benkert
- Multiple Sclerosis Centre and Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB), Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Basel, Switzerland
- Department of Neurology, University Hospital and University of Basel, Basel, Switzerland
| | - Ludwig Kappos
- Multiple Sclerosis Centre and Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB), Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Basel, Switzerland
- Department of Neurology, University Hospital and University of Basel, Basel, Switzerland
| | - Manuel Comabella
- Neurology Department, Multiple Sclerosis Centre of Catalonia, Vall d'Hebron University Hospital, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Hayrettin Tumani
- Department of Neurology, CSF Laboratory, Ulm University Hospital, Ulm, Germany
| | - Mark S Freedman
- Department of Medicine, University of Ottawa, The Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
| | - Axel Petzold
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Neurology, MS Centre and Neuro-ophthalmology Expertise Centre Amsterdam, Amsterdam Neuroscience, Amsterdam, Netherlands
- Moorfields Eye Hospital, The National Hospital for Neurology and Neurosurgery and the Queen Square Institute of Neurology, UCL, London, UK
| | - Kaj Blennow
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Paris Brain Institute, ICM, Pitié-Salpêtrière Hospital, Sorbonne University, Paris, France
- Neurodegenerative Disorder Research Center, Division of Life Sciences and Medicine, and Department of Neurology, Institute on Aging and Brain Disorders, University of Science and Technology of China and First Affiliated Hospital of USTC, Hefei, P. R. China
| | - Henrik Zetterberg
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK
- UK Dementia Research Institute at UCL, London, UK
- Hong Kong Center for Neurodegenerative Diseases, Hong Kong, China
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
| | - David Leppert
- Multiple Sclerosis Centre and Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB), Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Basel, Switzerland
- Department of Neurology, University Hospital and University of Basel, Basel, Switzerland
| | - Jens Kuhle
- Multiple Sclerosis Centre and Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB), Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Basel, Switzerland.
- Department of Neurology, University Hospital and University of Basel, Basel, Switzerland.
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5
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Shahim P, Norato G, Sinaii N, Zetterberg H, Blennow K, Chan L, Grunseich C. Neurofilaments in Sporadic and Familial Amyotrophic Lateral Sclerosis: A Systematic Review and Meta-Analysis. Genes (Basel) 2024; 15:496. [PMID: 38674431 PMCID: PMC11050235 DOI: 10.3390/genes15040496] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2024] [Revised: 03/30/2024] [Accepted: 04/02/2024] [Indexed: 04/28/2024] Open
Abstract
BACKGROUND Neurofilament proteins have been implicated to be altered in amyotrophic lateral sclerosis (ALS). The objectives of this study were to assess the diagnostic and prognostic utility of neurofilaments in ALS. METHODS Studies were conducted in electronic databases (PubMed/MEDLINE, Embase, Web of Science, and Cochrane CENTRAL) from inception to 17 August 2023, and investigated neurofilament light (NfL) or phosphorylated neurofilament heavy chain (pNfH) in ALS. The study design, enrolment criteria, neurofilament concentrations, test accuracy, relationship between neurofilaments in cerebrospinal fluid (CSF) and blood, and clinical outcome were recorded. The protocol was registered with PROSPERO, CRD42022376939. RESULTS Sixty studies with 8801 participants were included. Both NfL and pNfH measured in CSF showed high sensitivity and specificity in distinguishing ALS from disease mimics. Both NfL and pNfH measured in CSF correlated with their corresponding levels in blood (plasma or serum); however, there were stronger correlations between CSF NfL and blood NfL. NfL measured in blood exhibited high sensitivity and specificity in distinguishing ALS from controls. Both higher levels of NfL and pNfH either measured in blood or CSF were correlated with more severe symptoms as assessed by the ALS Functional Rating Scale Revised score and with a faster disease progression rate; however, only blood NfL levels were associated with shorter survival. DISCUSSION Both NfL and pNfH measured in CSF or blood show high diagnostic utility and association with ALS functional scores and disease progression, while CSF NfL correlates strongly with blood (either plasma or serum) and is also associated with survival, supporting its use in clinical diagnostics and prognosis. Future work must be conducted in a prospective manner with standardized bio-specimen collection methods and analytical platforms, further improvement in immunoassays for quantification of pNfH in blood, and the identification of cut-offs across the ALS spectrum and controls.
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Affiliation(s)
- Pashtun Shahim
- Rehabilitation Medicine Department, National Institutes of Health (NIH) Clinical Center, Bethesda, MD 20892, USA;
- National Institutes of Neurological Disorders and Stroke, NIH, Bethesda, MD 20892, USA; (G.N.); (C.G.)
- Department of Neurology, MedStar Georgetown University Hospital, Washington, DC 20007, USA
- The Military Traumatic Brain Injury Initiative (MTBI2), Bethesda, MD 20814, USA
- The Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD 20817, USA
| | - Gina Norato
- National Institutes of Neurological Disorders and Stroke, NIH, Bethesda, MD 20892, USA; (G.N.); (C.G.)
| | - Ninet Sinaii
- Biostatistics and Clinical Epidemiology Service, NIH, Bethesda, MD 20892, USA;
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, 431 41 Molndal, Sweden; (H.Z.); (K.B.)
- Clinical Neurochemistry Laboratory, Sahglrenska University Hospital, 431 41 Molndal, Sweden
- Department of Neurodegenerative Disease, UCL Institute of Neurology, Queen Square, London WC1N 3BG, UK
- UK Dementia Research Institute at UCL, London WC1E 6BT, UK
- Hong Kong Center for Neurodegenerative Diseases, Clear Water Bay, Hong Kong 518172, China
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI 53792, USA
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, 431 41 Molndal, Sweden; (H.Z.); (K.B.)
- Clinical Neurochemistry Laboratory, Sahglrenska University Hospital, 431 41 Molndal, Sweden
| | - Leighton Chan
- Rehabilitation Medicine Department, National Institutes of Health (NIH) Clinical Center, Bethesda, MD 20892, USA;
| | - Christopher Grunseich
- National Institutes of Neurological Disorders and Stroke, NIH, Bethesda, MD 20892, USA; (G.N.); (C.G.)
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6
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Witzel S, Statland JM, Steinacker P, Otto M, Dorst J, Schuster J, Barohn RJ, Ludolph AC. Longitudinal course of neurofilament light chain levels in amyotrophic lateral sclerosis-insights from a completed randomized controlled trial with rasagiline. Eur J Neurol 2024; 31:e16154. [PMID: 37975796 PMCID: PMC11235763 DOI: 10.1111/ene.16154] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Revised: 10/17/2023] [Accepted: 10/31/2023] [Indexed: 11/19/2023]
Abstract
BACKGROUND AND PURPOSE Rasagiline might be disease modifying in patients with amyotrophic lateral sclerosis (ALS). The aim was to evaluate the effect of rasagiline 2 mg/day on neurofilament light chain (NfL), a prognostic biomarker in ALS. METHODS In 65 patients with ALS randomized in a 3:1 ratio to rasagiline 2 mg/day (n = 48) or placebo (n = 17) in a completed randomized controlled multicentre trial, NfL levels in plasma were measured at baseline, month 6 and month 12. Longitudinal changes in NfL levels were evaluated regarding treatment and clinical parameters. RESULTS Baseline NfL levels did not differ between the study arms and correlated with disease progression rates both pre-baseline (r = 0.64, p < 0.001) and during the study (r = 0.61, p < 0.001). NfL measured at months 6 and 12 did not change significantly from baseline in both arms, with a median individual NfL change of +1.4 pg/mL (interquartile range [IQR] -5.6, 14.2) across all follow-up time points. However, a significant difference in NfL change at month 12 was observed between patients with high and low NfL baseline levels treated with rasagiline (high [n = 13], -6.9 pg/mL, IQR -20.4, 6.0; low [n = 18], +5.9 pg/mL, IQR -1.4, 19.7; p = 0.025). Additionally, generally higher longitudinal NfL variability was observed in patients with high baseline levels, whereas disease progression rates and disease duration at baseline had no impact on the longitudinal NfL course. CONCLUSION Post hoc NfL measurements in completed clinical trials are helpful in interpreting NfL data from ongoing and future interventional trials and could provide hypothesis-generating complementary insights. Further studies are warranted to ultimately differentiate NfL response to treatment from other factors.
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Affiliation(s)
| | | | | | - Markus Otto
- Department of NeurologyUniversity of HalleHalle (Saale)Germany
| | | | - Joachim Schuster
- Department of NeurologyUlm UniversityUlmGermany
- German Center for Neurodegenerative Diseases (DZNE)UlmGermany
| | - Richard J. Barohn
- School of Medicine, NextGen Precision Health, University of MissouriColumbiaMissouriUSA
| | - Albert C. Ludolph
- Department of NeurologyUlm UniversityUlmGermany
- German Center for Neurodegenerative Diseases (DZNE)UlmGermany
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7
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Din Abdul Jabbar MA, Guo L, Guo Y, Simmons Z, Pioro EP, Ramasamy S, Yeo CJJ. Describing and characterising variability in ALS disease progression. Amyotroph Lateral Scler Frontotemporal Degener 2024; 25:34-45. [PMID: 37794802 DOI: 10.1080/21678421.2023.2260838] [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: 04/18/2023] [Accepted: 09/07/2023] [Indexed: 10/06/2023]
Abstract
BACKGROUND, OBJECTIVES Decrease in the revised ALS Functional Rating Scale (ALSFRS-R) score is currently the most widely used measure of disease progression. However, it does not sufficiently encompass the heterogeneity of ALS. We describe a measure of variability in ALSFRS-R scores and demonstrate its utility in disease characterization. METHODS We used 5030 ALS clinical trial patients from the Pooled Resource Open-Access ALS Clinical Trials database to calculate variability in disease progression employing a novel measure and correlated variability with disease span. We characterized the more and less variable populations and designed a machine learning model that used clinical, laboratory and demographic data to predict class of variability. The model was validated with a holdout clinical trial dataset of 84 ALS patients (NCT00818389). RESULTS Greater variability in disease progression was indicative of longer disease span on the patient-level. The machine learning model was able to predict class of variability with accuracy of 60.1-72.7% across different time periods and yielded a set of predictors based on clinical, laboratory and demographic data. A reduced set of 16 predictors and the holdout dataset yielded similar accuracy. DISCUSSION This measure of variability is a significant determinant of disease span for fast-progressing patients. The predictors identified may shed light on pathophysiology of variability, with greater variability in fast-progressing patients possibly indicative of greater compensatory reinnervation and longer disease span. Increasing variability alongside decreasing rate of disease progression could be a future aim of trials for faster-progressing patients.
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Affiliation(s)
- Muzammil Arif Din Abdul Jabbar
- University of Cambridge, Cambridge, United Kingdom of Great Britain and Northern Ireland
- Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Ling Guo
- Institute for Infocomm Research (I2R), A*STAR, Singapore, Singapore
| | - Yang Guo
- Institute for Infocomm Research (I2R), A*STAR, Singapore, Singapore
| | - Zachary Simmons
- Department of Neurology, Pennsylvania State University College of Medicine, University Park, USA
| | - Erik P Pioro
- Department of Neurology, Feinberg School of Medicine, Northwestern University, Chicago, USA
| | - Savitha Ramasamy
- Institute for Infocomm Research (I2R), A*STAR, Singapore, Singapore
| | - Crystal Jing Jing Yeo
- Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
- Department of Neurology, Feinberg School of Medicine, Northwestern University, Chicago, USA
- Lee Kong Chian School of Medicine, Imperial College London and NTU, Singapore, Singapore
- School of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Aberdeen, UK
- National Neuroscience Institute, Singapore, Singapore, and
- Duke-NUS Medical School, Singapore, Singapore
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8
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Irwin KE, Sheth U, Wong PC, Gendron TF. Fluid biomarkers for amyotrophic lateral sclerosis: a review. Mol Neurodegener 2024; 19:9. [PMID: 38267984 PMCID: PMC10809579 DOI: 10.1186/s13024-023-00685-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2023] [Accepted: 11/21/2023] [Indexed: 01/26/2024] Open
Abstract
Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease characterized by the loss of upper and lower motor neurons. Presently, three FDA-approved drugs are available to help slow functional decline for patients with ALS, but no cure yet exists. With an average life expectancy of only two to five years after diagnosis, there is a clear need for biomarkers to improve the care of patients with ALS and to expedite ALS treatment development. Here, we provide a review of the efforts made towards identifying diagnostic, prognostic, susceptibility/risk, and response fluid biomarkers with the intent to facilitate a more rapid and accurate ALS diagnosis, to better predict prognosis, to improve clinical trial design, and to inform interpretation of clinical trial results. Over the course of 20 + years, several promising fluid biomarker candidates for ALS have emerged. These will be discussed, as will the exciting new strategies being explored for ALS biomarker discovery and development.
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Affiliation(s)
- Katherine E Irwin
- Department of Pathology, Johns Hopkins Medicine, Baltimore, MD, 21205, USA
- Department of Neuroscience, Johns Hopkins Medicine, Baltimore, MD, 21205, USA
| | - Udit Sheth
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, 32224, USA
- Mayo Clinic Graduate School of Biomedical Sciences, Mayo Clinic, Jacksonville, FL, 32224, USA
| | - Philip C Wong
- Department of Pathology, Johns Hopkins Medicine, Baltimore, MD, 21205, USA.
- Department of Neuroscience, Johns Hopkins Medicine, Baltimore, MD, 21205, USA.
| | - Tania F Gendron
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, 32224, USA.
- Mayo Clinic Graduate School of Biomedical Sciences, Mayo Clinic, Jacksonville, FL, 32224, USA.
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Michetti F, Clementi ME, Di Liddo R, Valeriani F, Ria F, Rende M, Di Sante G, Romano Spica V. The S100B Protein: A Multifaceted Pathogenic Factor More Than a Biomarker. Int J Mol Sci 2023; 24:ijms24119605. [PMID: 37298554 DOI: 10.3390/ijms24119605] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Revised: 05/29/2023] [Accepted: 05/30/2023] [Indexed: 06/12/2023] Open
Abstract
S100B is a calcium-binding protein mainly concentrated in astrocytes in the nervous system. Its levels in biological fluids are recognized as a reliable biomarker of active neural distress, and more recently, mounting evidence points to S100B as a Damage-Associated Molecular Pattern molecule, which, at high concentration, triggers tissue reactions to damage. S100B levels and/or distribution in the nervous tissue of patients and/or experimental models of different neural disorders, for which the protein is used as a biomarker, are directly related to the progress of the disease. In addition, in experimental models of diseases such as Alzheimer's and Parkinson's diseases, amyotrophic lateral sclerosis, multiple sclerosis, traumatic and vascular acute neural injury, epilepsy, and inflammatory bowel disease, alteration of S100B levels correlates with the occurrence of clinical and/or toxic parameters. In general, overexpression/administration of S100B worsens the clinical presentation, whereas deletion/inactivation of the protein contributes to the amelioration of the symptoms. Thus, the S100B protein may be proposed as a common pathogenic factor in different disorders, sharing different symptoms and etiologies but appearing to share some common pathogenic processes reasonably attributable to neuroinflammation.
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Affiliation(s)
- Fabrizio Michetti
- Department of Neuroscience, Catholic University of the Sacred Heart, 00168 Rome, Italy
- IRCCS San Raffaele Scientific Institute, Università Vita-Salute San Raffaele, 20132 Milan, Italy
- Department of Medicine, LUM University, 70010 Casamassima, Italy
- Genes, Via Venti Settembre 118, 00187 Roma, Italy
| | | | - Rosa Di Liddo
- Department of Pharmaceutical and Pharmacological Sciences, University of Padova, 35131 Padova, Italy
| | - Federica Valeriani
- Laboratory of Epidemiology and Biotechnologies, Department of Movement, Human and Health Sciences, University of Rome "Foro Italico", 00135 Rome, Italy
| | - Francesco Ria
- Department of Translational Medicine and Surgery, Section of General Pathology, Catholic University of the Sacred Heart, 00168 Rome, Italy
| | - Mario Rende
- Department of Medicine and Surgery, Section of Human, Clinical and Forensic Anatomy, University of Perugia, 06132 Perugia, Italy
| | - Gabriele Di Sante
- Department of Medicine and Surgery, Section of Human, Clinical and Forensic Anatomy, University of Perugia, 06132 Perugia, Italy
| | - Vincenzo Romano Spica
- Laboratory of Epidemiology and Biotechnologies, Department of Movement, Human and Health Sciences, University of Rome "Foro Italico", 00135 Rome, Italy
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10
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Sanchez-Tejerina D, Llaurado A, Sotoca J, Lopez-Diego V, Vidal Taboada JM, Salvado M, Juntas-Morales R. Biofluid Biomarkers in the Prognosis of Amyotrophic Lateral Sclerosis: Recent Developments and Therapeutic Applications. Cells 2023; 12:cells12081180. [PMID: 37190090 DOI: 10.3390/cells12081180] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Revised: 04/15/2023] [Accepted: 04/17/2023] [Indexed: 05/17/2023] Open
Abstract
Amyotrophic lateral sclerosis is a neurodegenerative disease characterized by the degeneration of motor neurons for which effective therapies are lacking. One of the most explored areas of research in ALS is the discovery and validation of biomarkers that can be applied to clinical practice and incorporated into the development of innovative therapies. The study of biomarkers requires an adequate theoretical and operational framework, highlighting the "fit-for-purpose" concept and distinguishing different types of biomarkers based on common terminology. In this review, we aim to discuss the current status of fluid-based prognostic and predictive biomarkers in ALS, with particular emphasis on those that are the most promising ones for clinical trial design and routine clinical practice. Neurofilaments in cerebrospinal fluid and blood are the main prognostic and pharmacodynamic biomarkers. Furthermore, several candidates exist covering various pathological aspects of the disease, such as immune, metabolic and muscle damage markers. Urine has been studied less often and should be explored for its possible advantages. New advances in the knowledge of cryptic exons introduce the possibility of discovering new biomarkers. Collaborative efforts, prospective studies and standardized procedures are needed to validate candidate biomarkers. A combined biomarkers panel can provide a more detailed disease status.
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Affiliation(s)
- Daniel Sanchez-Tejerina
- Neuromuscular Diseases Unit, Neurology Department, Vall d'Hebron Hospital Universitari, Vall d'Hebron Barcelona Hospital Campus, 08035 Barcelona, Spain
- Peripheral Nervous System Group, Vall d'Hebron Research Institut (VHIR), Vall d'Hebron Barcelona Hospital Campus, 08035 Barcelona, Spain
- European Reference Network on Rare Neuromuscular Diseases (ERN EURO-NMD), Vall d'Hebron Barcelona Hospital Campus, 08035 Barcelona, Spain
- Medicine Department, Universitat Autónoma de Barcelona, 08035 Barcelon, Spain
| | - Arnau Llaurado
- Neuromuscular Diseases Unit, Neurology Department, Vall d'Hebron Hospital Universitari, Vall d'Hebron Barcelona Hospital Campus, 08035 Barcelona, Spain
- Peripheral Nervous System Group, Vall d'Hebron Research Institut (VHIR), Vall d'Hebron Barcelona Hospital Campus, 08035 Barcelona, Spain
- European Reference Network on Rare Neuromuscular Diseases (ERN EURO-NMD), Vall d'Hebron Barcelona Hospital Campus, 08035 Barcelona, Spain
| | - Javier Sotoca
- Neuromuscular Diseases Unit, Neurology Department, Vall d'Hebron Hospital Universitari, Vall d'Hebron Barcelona Hospital Campus, 08035 Barcelona, Spain
- Peripheral Nervous System Group, Vall d'Hebron Research Institut (VHIR), Vall d'Hebron Barcelona Hospital Campus, 08035 Barcelona, Spain
- European Reference Network on Rare Neuromuscular Diseases (ERN EURO-NMD), Vall d'Hebron Barcelona Hospital Campus, 08035 Barcelona, Spain
| | - Veronica Lopez-Diego
- Neuromuscular Diseases Unit, Neurology Department, Vall d'Hebron Hospital Universitari, Vall d'Hebron Barcelona Hospital Campus, 08035 Barcelona, Spain
- Peripheral Nervous System Group, Vall d'Hebron Research Institut (VHIR), Vall d'Hebron Barcelona Hospital Campus, 08035 Barcelona, Spain
- European Reference Network on Rare Neuromuscular Diseases (ERN EURO-NMD), Vall d'Hebron Barcelona Hospital Campus, 08035 Barcelona, Spain
| | - Jose M Vidal Taboada
- Peripheral Nervous System Group, Vall d'Hebron Research Institut (VHIR), Vall d'Hebron Barcelona Hospital Campus, 08035 Barcelona, Spain
- Medicine Department, Universitat Autónoma de Barcelona, 08035 Barcelon, Spain
| | - Maria Salvado
- Neuromuscular Diseases Unit, Neurology Department, Vall d'Hebron Hospital Universitari, Vall d'Hebron Barcelona Hospital Campus, 08035 Barcelona, Spain
- Peripheral Nervous System Group, Vall d'Hebron Research Institut (VHIR), Vall d'Hebron Barcelona Hospital Campus, 08035 Barcelona, Spain
- European Reference Network on Rare Neuromuscular Diseases (ERN EURO-NMD), Vall d'Hebron Barcelona Hospital Campus, 08035 Barcelona, Spain
| | - Raul Juntas-Morales
- Neuromuscular Diseases Unit, Neurology Department, Vall d'Hebron Hospital Universitari, Vall d'Hebron Barcelona Hospital Campus, 08035 Barcelona, Spain
- Peripheral Nervous System Group, Vall d'Hebron Research Institut (VHIR), Vall d'Hebron Barcelona Hospital Campus, 08035 Barcelona, Spain
- European Reference Network on Rare Neuromuscular Diseases (ERN EURO-NMD), Vall d'Hebron Barcelona Hospital Campus, 08035 Barcelona, Spain
- Medicine Department, Universitat Autónoma de Barcelona, 08035 Barcelon, Spain
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11
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Meyer T, Salkic E, Grehl T, Weyen U, Kettemann D, Weydt P, Günther R, Lingor P, Koch JC, Petri S, Hermann A, Prudlo J, Großkreutz J, Baum P, Boentert M, Metelmann M, Norden J, Cordts I, Weishaupt JH, Dorst J, Ludolph A, Koc Y, Walter B, Münch C, Spittel S, Dreger M, Maier A, Körtvélyessy P. Performance of serum neurofilament light chain in a wide spectrum of clinical courses of amyotrophic lateral sclerosis-a cross-sectional multicenter study. Eur J Neurol 2023; 30:1600-1610. [PMID: 36899448 DOI: 10.1111/ene.15773] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Revised: 01/15/2023] [Accepted: 03/06/2023] [Indexed: 03/12/2023]
Abstract
BACKGROUND AND PURPOSE The objective was to assess the performance of serum neurofilament light chain (sNfL) in amyotrophic lateral sclerosis (ALS) in a wide range of disease courses, in terms of progression, duration and tracheostomy invasive ventilation (TIV). METHODS A prospective cross-sectional study at 12 ALS centers in Germany was performed. sNfL concentrations were age adjusted using sNfL Z scores expressing the number of standard deviations from the mean of a control reference database and correlated to ALS duration and ALS progression rate (ALS-PR), defined by the decline of the ALS Functional Rating Scale. RESULTS In the total ALS cohort (n = 1378) the sNfL Z score was elevated (3.04; 2.46-3.43; 99.88th percentile). There was a strong correlation of sNfL Z score with ALS-PR (p < 0.001). In patients with long (5-10 years, n = 167) or very long ALS duration (>10 years, n = 94) the sNfL Z score was significantly lower compared to the typical ALS duration of <5 years (n = 1059) (p < 0.001). Furthermore, in patients with TIV, decreasing sNfL Z scores were found in correlation with TIV duration and ALS-PR (p = 0.002; p < 0.001). CONCLUSIONS The finding of moderate sNfL elevation in patients with long ALS duration underlined the favorable prognosis of low sNfL. The strong correlation of sNfL Z score with ALS-PR strengthened its value as progression marker in clinical management and research. The lowering of sNfL in correlation with long TIV duration could reflect a reduction either in disease activity or in the neuroaxonal substrate of biomarker formation during the protracted course of ALS.
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Affiliation(s)
- Thomas Meyer
- Department of Neurology, Center for ALS and Other Motor Neuron Disorders, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Charité-Universitätsmedizin Berlin, Berlin, Germany
- APST Research GmbH, Berlin, Germany
| | - Erma Salkic
- Department of Neurology, Center for ALS and Other Motor Neuron Disorders, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Torsten Grehl
- Department of Neurology, Center for ALS and Other Motor Neuron Disorders, Alfried Krupp Krankenhaus, Essen, Germany
| | - Ute Weyen
- Department of Neurology, Center for ALS and Other Motor Neuron Disorders, Berufsgenossenschaftliches Universitätsklinikum Bergmannsheil, Bochum, Germany
| | - Dagmar Kettemann
- Department of Neurology, Center for ALS and Other Motor Neuron Disorders, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Patrick Weydt
- Department for Neurodegenerative Disorders and Gerontopsychiatry, Bonn University, Bonn, Germany
- Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE), Research Site Bonn, Bonn, Germany
| | - René Günther
- Department of Neurology, Technische Universität Dresden, Dresden, Germany
- Deutsches Zentrum für Neurodegenerative Erkrankungen, Research Site Dresden (DZNE), Dresden, Germany
| | - Paul Lingor
- Department of Neurology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Jan Christoph Koch
- Department of Neurology, Universitätsmedizin Göttingen, Göttingen, Germany
| | - Susanne Petri
- Department of Neurology, Hannover Medical School, Hannover, Germany
| | - Andreas Hermann
- Department of Neurology, Translational Neurodegeneration Section "Albrecht-Kossel", University of Rostock, University Medical Center, Rostock, Germany
- Deutsches Zentrum für Neurodegenerative Erkrankungen, Research Site Rostock/Greifswald, DZNE, Greifswald, Germany
| | - Johannes Prudlo
- Deutsches Zentrum für Neurodegenerative Erkrankungen, Research Site Rostock/Greifswald, DZNE, Greifswald, Germany
- Department of Neurology, University Medical Center Rostock, University of Rostock, Rostock,, Germany
| | - Julian Großkreutz
- Department of Neurology, Universitätsmedizin Schleswig-Holstein, Campus Lübeck, Lübeck, Germany
| | - Petra Baum
- Department of Neurology, Universitätsklinikum Leipzig, Leipzig, Germany
| | - Matthias Boentert
- Department of Neurology, Universitätsklinikum Münster, Münster, Germany
| | - Moritz Metelmann
- Department of Neurology, Universitätsklinikum Leipzig, Leipzig, Germany
| | - Jenny Norden
- Department of Neurology, Center for ALS and Other Motor Neuron Disorders, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Isabell Cordts
- Department of Neurology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Jochen H Weishaupt
- Division for Neurodegenerative Diseases, Department of Neurology, Mannheim Center for Translational Medicine, University Medicine Mannheim, Heidelberg University, Mannheim, Germany
| | | | - Albert Ludolph
- Department of Neurology, Ulm University, Ulm, Germany
- Deutsches Zentrum für Neurodegenerative Erkrankungen, Research Site Ulm (DZNE), Ulm, Germany
| | - Yasemin Koc
- Department of Neurology, Center for ALS and Other Motor Neuron Disorders, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Bertram Walter
- Department of Neurology, Center for ALS and Other Motor Neuron Disorders, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Christoph Münch
- Department of Neurology, Center for ALS and Other Motor Neuron Disorders, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Charité-Universitätsmedizin Berlin, Berlin, Germany
- APST Research GmbH, Berlin, Germany
| | - Susanne Spittel
- Department of Neurology, Center for ALS and Other Motor Neuron Disorders, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Charité-Universitätsmedizin Berlin, Berlin, Germany
- APST Research GmbH, Berlin, Germany
| | - Marie Dreger
- Department of Neurology, Center for ALS and Other Motor Neuron Disorders, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - André Maier
- Department of Neurology, Center for ALS and Other Motor Neuron Disorders, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Péter Körtvélyessy
- Department of Neurology, Center for ALS and Other Motor Neuron Disorders, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Charité-Universitätsmedizin Berlin, Berlin, Germany
- Deutsches Zentrum für Neurodegenerative Erkrankungen, Research Site Magdeburg (DZNE), Magdeburg, Germany
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12
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Diffusion Tensor Imaging in Amyotrophic Lateral Sclerosis: Machine Learning for Biomarker Development. Int J Mol Sci 2023; 24:ijms24031911. [PMID: 36768231 PMCID: PMC9915541 DOI: 10.3390/ijms24031911] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2022] [Revised: 01/11/2023] [Accepted: 01/16/2023] [Indexed: 01/21/2023] Open
Abstract
Diffusion tensor imaging (DTI) allows the in vivo imaging of pathological white matter alterations, either with unbiased voxel-wise or hypothesis-guided tract-based analysis. Alterations of diffusion metrics are indicative of the cerebral status of patients with amyotrophic lateral sclerosis (ALS) at the individual level. Using machine learning (ML) models to analyze complex and high-dimensional neuroimaging data sets, new opportunities for DTI-based biomarkers in ALS arise. This review aims to summarize how different ML models based on DTI parameters can be used for supervised diagnostic classifications and to provide individualized patient stratification with unsupervised approaches in ALS. To capture the whole spectrum of neuropathological signatures, DTI might be combined with additional modalities, such as structural T1w 3-D MRI in ML models. To further improve the power of ML in ALS and enable the application of deep learning models, standardized DTI protocols and multi-center collaborations are needed to validate multimodal DTI biomarkers. The application of ML models to multiparametric MRI/multimodal DTI-based data sets will enable a detailed assessment of neuropathological signatures in patients with ALS and the development of novel neuroimaging biomarkers that could be used in the clinical workup.
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13
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Wohnrade C, Velling AK, Mix L, Wurster CD, Cordts I, Stolte B, Zeller D, Uzelac Z, Platen S, Hagenacker T, Deschauer M, Lingor P, Ludolph AC, Lulé D, Petri S, Osmanovic A, Schreiber-Katz O. Health-Related Quality of Life in Spinal Muscular Atrophy Patients and Their Caregivers-A Prospective, Cross-Sectional, Multi-Center Analysis. Brain Sci 2023; 13:brainsci13010110. [PMID: 36672091 PMCID: PMC9857112 DOI: 10.3390/brainsci13010110] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Revised: 12/29/2022] [Accepted: 01/03/2023] [Indexed: 01/11/2023] Open
Abstract
Spinal muscular atrophy (SMA) is a disabling disease that affects not only the patient’s health-related quality of life (HRQoL), but also causes a high caregiver burden (CGB). The aim of this study was to evaluate HRQoL, CGB, and their predictors in SMA. In two prospective, cross-sectional, and multi-center studies, SMA patients (n = 39) and SMA patient/caregiver couples (n = 49) filled in the EuroQoL Five Dimension Five Level Scale (EQ-5D-5L) and the Short Form Health Survey 36 (SF-36). Caregivers (CGs) additionally answered the Zarit Burden Interview (ZBI) and the Hospital Anxiety and Depression Scale (HADS). Patients were clustered into two groups with either low or high HRQoL (EQ-5D-5L index value <0.259 or >0.679). The latter group was mostly composed of ambulatory type III patients with higher motor/functional scores. More severely affected patients reported low physical functioning but good mental health and vitality. The CGB (mean ZBI = 22/88) correlated negatively with patients’ motor/functional scores and age. Higher CGB was associated with a lower HRQoL, higher depression and anxiety, and more health impairments of the CGs. We conclude that patient and CG well-being levels interact closely, which highlights the need to consider the health of both parties while evaluating novel treatments.
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Affiliation(s)
- Camilla Wohnrade
- Department of Neurology, Hannover Medical School, 30625 Hannover, Germany
| | | | - Lucas Mix
- Department of Neurology, University of Ulm, 89081 Ulm, Germany
| | | | - Isabell Cordts
- Department of Neurology, Klinikum rechts der Isar, Technical University of Munich, 81675 Munich, Germany
| | - Benjamin Stolte
- Department of Neurology and Center for Translational Neuro- and Behavioral Science, University Medicine Essen, 45147 Essen, Germany
| | - Daniel Zeller
- Department of Neurology, University of Wuerzburg, 97080 Wuerzburg, Germany
| | - Zeljko Uzelac
- Department of Neurology, University of Ulm, 89081 Ulm, Germany
| | - Sophia Platen
- Department of Neurology, University of Ulm, 89081 Ulm, Germany
| | - Tim Hagenacker
- Department of Neurology and Center for Translational Neuro- and Behavioral Science, University Medicine Essen, 45147 Essen, Germany
| | - Marcus Deschauer
- Department of Neurology, Klinikum rechts der Isar, Technical University of Munich, 81675 Munich, Germany
| | - Paul Lingor
- Department of Neurology, Klinikum rechts der Isar, Technical University of Munich, 81675 Munich, Germany
| | - Albert C. Ludolph
- Department of Neurology, University of Ulm, 89081 Ulm, Germany
- German Center for Neurodegenerative Diseases, 89081 Ulm, Germany
| | - Dorothée Lulé
- Department of Neurology, University of Ulm, 89081 Ulm, Germany
| | - Susanne Petri
- Department of Neurology, Hannover Medical School, 30625 Hannover, Germany
| | - Alma Osmanovic
- Department of Neurology, Hannover Medical School, 30625 Hannover, Germany
- Essen Center for Rare Diseases (EZSE), University Hospital Essen, 45147 Essen, Germany
| | - Olivia Schreiber-Katz
- Department of Neurology, Hannover Medical School, 30625 Hannover, Germany
- Correspondence:
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14
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Delaby C, Bousiges O, Bouvier D, Fillée C, Fourier A, Mondésert E, Nezry N, Omar S, Quadrio I, Rucheton B, Schraen-Maschke S, van Pesch V, Vicca S, Lehmann S, Bedel A. Neurofilaments contribution in clinic: state of the art. Front Aging Neurosci 2022; 14:1034684. [PMID: 36389064 PMCID: PMC9664201 DOI: 10.3389/fnagi.2022.1034684] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2022] [Accepted: 10/10/2022] [Indexed: 07/26/2023] Open
Abstract
Neurological biomarkers are particularly valuable to clinicians as they can be used for diagnosis, prognosis, or response to treatment. This field of neurology has evolved considerably in recent years with the improvement of analytical methods, allowing the detection of biomarkers not only in cerebrospinal fluid (CSF) but also in less invasive fluids like blood. These advances greatly facilitate the repeated quantification of biomarkers, including at asymptomatic stages of the disease. Among the various informative biomarkers of neurological disorders, neurofilaments (NfL) have proven to be of particular interest in many contexts, such as neurodegenerative diseases, traumatic brain injury, multiple sclerosis, stroke, and cancer. Here we discuss these different pathologies and the potential value of NfL assay in the management of these patients, both for diagnosis and prognosis. We also describe the added value of NfL compared to other biomarkers currently used to monitor the diseases described in this review.
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Affiliation(s)
- Constance Delaby
- Université de Montpellier, IRMB, INM, INSERM, CHU de Montpellier, Laboratoire Biochimie-Protéomique clinique, Montpellier, France
- Sant Pau Memory Unit, Hospital de la Santa Creu i Sant Pau—Biomedical Research Institute Sant Pau—Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Olivier Bousiges
- Laboratoire de biochimie et biologie moléculaire (LBBM)—Pôle de biologie Hôpital de Hautepierre—CHU de Strasbourg, CNRS, laboratoire ICube UMR 7357 et FMTS (Fédération de Médecine Translationnelle de Strasbourg), équipe IMIS, Strasbourg, France
| | - Damien Bouvier
- Service de Biochimie et Génétique Moléculaire, CHU de Clermont-Ferrand, Clermont-Ferrand, France
| | - Catherine Fillée
- Cliniques universitaires Saint-Luc UCLouvain, Service de Biochimie Médicale, Brussels, Belgium
| | - Anthony Fourier
- Biochimie et Biologie Moléculaire—LBMMS, Unité de diagnostic des pathologies dégénératives, Centre de Biologie et Pathologie Est, Groupement Hospitalier Est, Lyon, France
| | - Etienne Mondésert
- Université de Montpellier, IRMB, INM, INSERM, CHU de Montpellier, Laboratoire Biochimie-Protéomique clinique, Montpellier, France
| | - Nicolas Nezry
- Univ. Lille, Inserm, CHU Lille, UMR-S-U1172, LiCEND, Lille Neuroscience & Cognition, LabEx DISTALZ, Lille, France
| | - Souheil Omar
- Laboratoire de biologie médicale de l’Institut de Neurologie de Tunis, Tunis, Tunisia
| | - Isabelle Quadrio
- Biochimie et Biologie Moléculaire—LBMMS, Unité de diagnostic des pathologies dégénératives, Centre de Biologie et Pathologie Est, Groupement Hospitalier Est, Lyon, France
| | - Benoit Rucheton
- Laboratoire de Biologie, Institut Bergonié, Bordeaux, France
| | - Susanna Schraen-Maschke
- Univ. Lille, Inserm, CHU Lille, UMR-S-U1172, LiCEND, Lille Neuroscience & Cognition, LabEx DISTALZ, Lille, France
| | - Vincent van Pesch
- Cliniques universitaires Saint-Luc UCLouvain, Service de Neurologie, Brussels, Belgium
| | - Stéphanie Vicca
- Hôpital Necker-Enfants malades, Paris, Laboratoire de Biochimie générale, DMU BioPhyGen, AP-HP.Centre—Université de Paris, Paris, France
| | - Sylvain Lehmann
- Université de Montpellier, IRMB, INM, INSERM, CHU de Montpellier, Laboratoire Biochimie-Protéomique clinique, Montpellier, France
| | - Aurelie Bedel
- Service de Biochimie, CHU Pellegrin, Bordeaux, France
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15
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Status of ALS Treatment, Insights into Therapeutic Challenges and Dilemmas. J Pers Med 2022; 12:jpm12101601. [PMID: 36294741 PMCID: PMC9605458 DOI: 10.3390/jpm12101601] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Revised: 09/14/2022] [Accepted: 09/23/2022] [Indexed: 12/18/2022] Open
Abstract
Amyotrophic lateral sclerosis (ALS) is an extremely heterogeneous disease of motor neurons that eventually leads to death. Despite impressive advances in understanding the genetic, molecular, and pathological mechanisms of the disease, the only drug approved to date by both the FDA and EMA is riluzole, with a modest effect on survival. In this opinion view paper, we will discuss how to address some challenges for drug development in ALS at the conceptual, technological, and methodological levels. In addition, socioeconomic and ethical issues related to the legitimate need of patients to benefit quickly from new treatments will also be addressed. In conclusion, this brief review takes a more optimistic view, given the recent approval of two new drugs in some countries and the development of targeted gene therapies.
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16
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Buck E, Oeckl P, Grozdanov V, Bopp V, Kühlwein JK, Ruf WP, Wiesner D, Roselli F, Weishaupt JH, Ludolph AC, Otto M, Danzer KM. Increased NF-L levels in the TDP-43 G298S ALS mouse model resemble NF-L levels in ALS patients. Acta Neuropathol 2022; 144:161-164. [PMID: 35585288 PMCID: PMC9217825 DOI: 10.1007/s00401-022-02436-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2021] [Revised: 05/11/2022] [Accepted: 05/11/2022] [Indexed: 11/06/2022]
Affiliation(s)
- Eva Buck
- German Center for Neurodegenerative Diseases (DZNE), Ulm, Germany
| | - Patrick Oeckl
- German Center for Neurodegenerative Diseases (DZNE), Ulm, Germany
- Neurology, University Clinic, University of Ulm, Ulm, Germany
| | | | - Verena Bopp
- Neurology, University Clinic, University of Ulm, Ulm, Germany
| | | | - Wolfgang P Ruf
- Neurology, University Clinic, University of Ulm, Ulm, Germany
| | - Diana Wiesner
- German Center for Neurodegenerative Diseases (DZNE), Ulm, Germany
| | - Francesco Roselli
- German Center for Neurodegenerative Diseases (DZNE), Ulm, Germany
- Neurology, University Clinic, University of Ulm, Ulm, Germany
| | - Jochen H Weishaupt
- Neurology, University Clinic, University of Ulm, Ulm, Germany
- Division for Neurodegenerative Diseases, Neurology Department, Mannheim Center for Translational Neuroscience, University Medicine Mannheim, Heidelberg University, Mannheim, Germany
| | - Albert C Ludolph
- German Center for Neurodegenerative Diseases (DZNE), Ulm, Germany
- Neurology, University Clinic, University of Ulm, Ulm, Germany
| | - Markus Otto
- Neurology, University Clinic, University of Ulm, Ulm, Germany
- Department of Neurology, Martin-Luther-University Halle-Wittenberg, Ernst-Grube Str. 40, 06120, Halle (Saale), Germany
| | - Karin M Danzer
- German Center for Neurodegenerative Diseases (DZNE), Ulm, Germany.
- Neurology, University Clinic, University of Ulm, Ulm, Germany.
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17
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Halbgebauer S, Steinacker P, Verde F, Weishaupt J, Oeckl P, von Arnim C, Dorst J, Feneberg E, Mayer B, Rosenbohm A, Silani V, Ludolph AC, Otto M. Comparison of CSF and serum neurofilament light and heavy chain as differential diagnostic biomarkers for ALS. J Neurol Neurosurg Psychiatry 2022; 93:68-74. [PMID: 34417339 DOI: 10.1136/jnnp-2021-327129] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/13/2021] [Accepted: 07/26/2021] [Indexed: 12/12/2022]
Abstract
OBJECTIVE Elevated levels of neurofilament light (NfL) and heavy (NfH) chain in amyotrophic lateral sclerosis (ALS) cerebrospinal fluid (CSF) and serum reflect neuro-axonal degeneration and are used as diagnostic biomarkers. However, studies comparing the differential diagnostic potential for ALS of all four parameters are missing. Here, we measured serum NfL/NfH and CSF NfL/NfH in a large cohort of ALS and other neurological disorders and analysed the differential diagnostic potential. METHODS In total CSF and serum of 294 patients were analysed. The diagnostic groups comprised: ALS (n=75), frontotemporal lobar degeneration (FTLD) (n=33), Alzheimer's disease (n=20), Parkinson's disease (dementia) (n=18), Creutzfeldt-Jakob disease (n=11), non-neurodegenerative controls (n=77) (Con) and 60 patients who were seen under the direct differential diagnosis of a patient with ALS (Con.DD). RESULTS CSF and serum NfL and NfH showed significantly increased levels in ALS (p<0.0001) compared with Con and Con.DD. The difference between ALS and FTLD was markedly stronger for NfH than for NfL. CSF and serum NfL demonstrated a stronger correlation (r=0.84 (95% CI 0.80 to 0.87), p<0.001) than CSF and serum NfH (r=0.68 (95% CI 0.61 to 0.75), p<0.0001). Comparing ALS and Con.DD, receiver operating characteristic analysis revealed the best area under the curve (AUC) value for CSF NfL (AUC=0.94, 95% CI 0.91 to 0.98), followed by CSF NfH (0.93, 95% CI 0.88 to 0.98), serum NfL (0.93, 95% CI 0.89 to 0.97) and serum NfH (0.88, 95% CI 0.82 to 0.94). CONCLUSION Our results demonstrate that CSF NfL and NfH as well as serum NfL are equally suited for the differential diagnosis of ALS, whereas serum NfH appears to be slightly less potent.
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Affiliation(s)
| | | | - Federico Verde
- Department of Neurology - Stroke Unit and Laboratory of Neuroscience, Istituto Auxologico Italiano Istituto di Ricovero e Cura a Carattere Scientifico, Milano, Italy.,Department of Pathophysiology and Transplantation, "Dino Ferrari" Center, Università degli Studi di Milano, Milano, Italy
| | - Jochen Weishaupt
- Department of Neurology, Institute for Neurodegeneration, Universitätsmedizin Mannheim, Mannheim, Germany
| | - Patrick Oeckl
- Neurology, University of Ulm, Ulm, Germany.,Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE e.V.), Ulm, Germany
| | | | | | - Emily Feneberg
- Department of Neurology, University Hospital Rechts der Isar, Munich, Bayern, Germany
| | - Benjamin Mayer
- Institute for Epidemiology and Medical Biometry, Ulm University, Ulm, Germany
| | | | - Vincenzo Silani
- Department of Neurology - Stroke Unit and Laboratory of Neuroscience, Istituto Auxologico Italiano Istituto di Ricovero e Cura a Carattere Scientifico, Milano, Italy.,Department of Pathophysiology and Transplantation, "Dino Ferrari" Center, Università degli Studi di Milano, Milano, Italy
| | | | - Markus Otto
- Neurology, University of Ulm, Ulm, Germany .,Department of Neurology, University clinic, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany
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18
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Sferruzza G, Bosco L, Falzone YM, Russo T, Domi T, Quattrini A, Filippi M, Riva N. Neurofilament light chain as a biological marker for amyotrophic lateral sclerosis: a meta-analysis study. Amyotroph Lateral Scler Frontotemporal Degener 2021; 23:446-457. [PMID: 34874217 DOI: 10.1080/21678421.2021.2007952] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Abstract
Aim: The aim of the present metanalysis is to evaluate blood and CSF Neurofilament light chain (NfL) concentrations in ALS patients, compared to healthy controls, ALS mimic disorders (ALSmd) and other neurological diseases (OND), and to evaluate their diagnostic yield against ALSmd. Methods: Search engines were systematically investigated for relevant studies. A random effect model was applied to estimate the pooled standard mean difference in NfL levels between ALS and controls and a bivariate mixed-effects model was applied to estimate their diagnostic accuracy on blood and CSF. Results and conclusions: NfL CSF levels were higher in ALS compared with all other control groups. On blood, NfL levels were significantly higher in ALS patients compared with healthy controls and ALSmd. In a subgroup analysis, the use of SIMOA yielded to a better differentiation between ALS and controls on blood, compared with ELISA. Studies performed on CSF (AUC = 0.90) yielded to better diagnostic performances compared with those conducted on blood (AUC = 0.78). Further prospective investigations are needed to determine a diagnostic cutoff, exploitable in clinical practice.
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Affiliation(s)
- Giacomo Sferruzza
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Luca Bosco
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.,Neurorehabilitation Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.,Neurophysiology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Yuri Matteo Falzone
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.,Neurorehabilitation Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.,Neurophysiology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.,Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.,Vita-Salute San Raffaele University, Milan, Italy and.,Neuropathology Unit, Institute of Experimental Neurology (INSP E), San Raffaele Scientific Institute, Milan, Italy
| | - Tommaso Russo
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.,Neurorehabilitation Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.,Neurophysiology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.,Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.,Vita-Salute San Raffaele University, Milan, Italy and.,Neuropathology Unit, Institute of Experimental Neurology (INSP E), San Raffaele Scientific Institute, Milan, Italy
| | - Teuta Domi
- Neuropathology Unit, Institute of Experimental Neurology (INSP E), San Raffaele Scientific Institute, Milan, Italy
| | - Angelo Quattrini
- Neuropathology Unit, Institute of Experimental Neurology (INSP E), San Raffaele Scientific Institute, Milan, Italy
| | - Massimo Filippi
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.,Neurorehabilitation Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.,Neurophysiology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.,Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.,Vita-Salute San Raffaele University, Milan, Italy and
| | - Nilo Riva
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.,Neurorehabilitation Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.,Neuropathology Unit, Institute of Experimental Neurology (INSP E), San Raffaele Scientific Institute, Milan, Italy
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19
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Saracino D, Dorgham K, Camuzat A, Rinaldi D, Rametti-Lacroux A, Houot M, Clot F, Martin-Hardy P, Jornea L, Azuar C, Migliaccio R, Pasquier F, Couratier P, Auriacombe S, Sauvée M, Boutoleau-Bretonnière C, Pariente J, Didic M, Hannequin D, Wallon D, Colliot O, Dubois B, Brice A, Levy R, Forlani S, Le Ber I. Plasma NfL levels and longitudinal change rates in C9orf72 and GRN-associated diseases: from tailored references to clinical applications. J Neurol Neurosurg Psychiatry 2021; 92:1278-1288. [PMID: 34349004 PMCID: PMC8606463 DOI: 10.1136/jnnp-2021-326914] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Accepted: 07/13/2021] [Indexed: 11/04/2022]
Abstract
OBJECTIVE Neurofilament light chain (NfL) is a promising biomarker in genetic frontotemporal dementia (FTD) and amyotrophic lateral sclerosis (ALS). We evaluated plasma neurofilament light chain (pNfL) levels in controls, and their longitudinal trajectories in C9orf72 and GRN cohorts from presymptomatic to clinical stages. METHODS We analysed pNfL using Single Molecule Array (SiMoA) in 668 samples (352 baseline and 316 follow-up) of C9orf72 and GRN patients, presymptomatic carriers (PS) and controls aged between 21 and 83. They were longitudinally evaluated over a period of >2 years, during which four PS became prodromal/symptomatic. Associations between pNfL and clinical-genetic variables, and longitudinal NfL changes, were investigated using generalised and linear mixed-effects models. Optimal cut-offs were determined using the Youden Index. RESULTS pNfL levels increased with age in controls, from ~5 to~18 pg/mL (p<0.0001), progressing over time (mean annualised rate of change (ARC): +3.9%/year, p<0.0001). Patients displayed higher levels and greater longitudinal progression (ARC: +26.7%, p<0.0001), with gene-specific trajectories. GRN patients had higher levels than C9orf72 (86.21 vs 39.49 pg/mL, p=0.014), and greater progression rates (ARC:+29.3% vs +24.7%; p=0.016). In C9orf72 patients, levels were associated with the phenotype (ALS: 71.76 pg/mL, FTD: 37.16, psychiatric: 15.3; p=0.003) and remarkably lower in slowly progressive patients (24.11, ARC: +2.5%; p=0.05). Mean ARC was +3.2% in PS and +7.3% in prodromal carriers. We proposed gene-specific cut-offs differentiating patients from controls by decades. CONCLUSIONS This study highlights the importance of gene-specific and age-specific references for clinical and therapeutic trials in genetic FTD/ALS. It supports the usefulness of repeating pNfL measurements and considering ARC as a prognostic marker of disease progression. TRIAL REGISTRATION NUMBERS NCT02590276 and NCT04014673.
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Affiliation(s)
- Dario Saracino
- Sorbonne Université, Paris Brain Institute - Institut du Cerveau - ICM, Inserm U1127, CNRS UMR 7225, AP-HP - Hôpital Pitié-Salpêtrière, Paris, France.,Reference Centre for Rare or Early Dementias, IM2A, Départment de Neurologie, AP-HP - Hôpital Pitié-Salpêtrière, Paris, France.,Aramis Project Team, Inria Paris Research Centre, Paris, France
| | - Karim Dorgham
- Sorbonne Université, INSERM, Centre d'Immunologie et des Maladies Infectieuses-Paris (CIMI-Paris), Paris, France
| | - Agnès Camuzat
- Sorbonne Université, Paris Brain Institute - Institut du Cerveau - ICM, Inserm U1127, CNRS UMR 7225, AP-HP - Hôpital Pitié-Salpêtrière, Paris, France.,EPHE, PSL Research University, Paris, France
| | - Daisy Rinaldi
- Sorbonne Université, Paris Brain Institute - Institut du Cerveau - ICM, Inserm U1127, CNRS UMR 7225, AP-HP - Hôpital Pitié-Salpêtrière, Paris, France.,Reference Centre for Rare or Early Dementias, IM2A, Départment de Neurologie, AP-HP - Hôpital Pitié-Salpêtrière, Paris, France
| | - Armelle Rametti-Lacroux
- Inserm U 1127, CNRS UMR 7225, Sorbonne Université, Paris Brain Institute-Institut du Cerveau (ICM), FRONTlab, Paris, France
| | - Marion Houot
- Sorbonne Université, Paris Brain Institute - Institut du Cerveau - ICM, Inserm U1127, CNRS UMR 7225, AP-HP - Hôpital Pitié-Salpêtrière, Paris, France.,Reference Centre for Rare or Early Dementias, IM2A, Départment de Neurologie, AP-HP - Hôpital Pitié-Salpêtrière, Paris, France.,Centre of Excellence of Neurodegenerative Disease (CoEN), ICM, CIC Neurosciences, Département de Neurologie, AP-HP, Hôpital Pitié-Salpêtrière, Sorbonne Université, Paris, France
| | - Fabienne Clot
- UF de Neurogénétique Moléculaire et Cellulaire, Département de Génétique, AP-HP, Hôpitaux Universitaires La Pitié Salpêtrière-Charles Foix, Paris, France
| | - Philippe Martin-Hardy
- Sorbonne Université, Paris Brain Institute - Institut du Cerveau - ICM, Inserm U1127, CNRS UMR 7225, AP-HP - Hôpital Pitié-Salpêtrière, Paris, France
| | - Ludmila Jornea
- Sorbonne Université, Paris Brain Institute - Institut du Cerveau - ICM, Inserm U1127, CNRS UMR 7225, AP-HP - Hôpital Pitié-Salpêtrière, Paris, France
| | - Carole Azuar
- Sorbonne Université, Paris Brain Institute - Institut du Cerveau - ICM, Inserm U1127, CNRS UMR 7225, AP-HP - Hôpital Pitié-Salpêtrière, Paris, France.,Reference Centre for Rare or Early Dementias, IM2A, Départment de Neurologie, AP-HP - Hôpital Pitié-Salpêtrière, Paris, France.,Inserm U 1127, CNRS UMR 7225, Sorbonne Université, Paris Brain Institute-Institut du Cerveau (ICM), FRONTlab, Paris, France
| | - Raffaella Migliaccio
- Sorbonne Université, Paris Brain Institute - Institut du Cerveau - ICM, Inserm U1127, CNRS UMR 7225, AP-HP - Hôpital Pitié-Salpêtrière, Paris, France.,Reference Centre for Rare or Early Dementias, IM2A, Départment de Neurologie, AP-HP - Hôpital Pitié-Salpêtrière, Paris, France.,Inserm U 1127, CNRS UMR 7225, Sorbonne Université, Paris Brain Institute-Institut du Cerveau (ICM), FRONTlab, Paris, France
| | - Florence Pasquier
- Univ Lille, Inserm U1171, CHU Lille, DistAlz, LiCEND, CNR-MAJ, Lille, France
| | | | - Sophie Auriacombe
- CMRR Nouvelle Aquitaine, Institut des Maladies Neurodégénératives Clinique (IMNc), CHU de Bordeaux Hôpital Pellegrin, Bordeaux, France
| | - Mathilde Sauvée
- CMRR de l'Arc Alpin, POLE PRéNeLE, CHU Grenoble Alpes, Grenoble, France
| | | | - Jérémie Pariente
- Department of Neurology, Toulouse University Hospital, Toulouse, France.,Toulouse NeuroImaging Centre (ToNIC), Inserm, UPS, University of Toulouse, Toulouse, France
| | - Mira Didic
- APHM, Timone, Service de Neurologie et Neuropsychologie, Hôpital Timone Adultes, Marseille, France.,Institut de Neurosciences des Systèmes (INS), Aix-Marseille University, Inserm, Marseille, France
| | - Didier Hannequin
- Department of Neurology and CNR-MAJ, Normandy Center for Genomic and Personalized Medicine, Normandie University, UNIROUEN, Inserm U1245 and Rouen University Hospital, Rouen, France
| | - David Wallon
- Department of Neurology and CNR-MAJ, Normandy Center for Genomic and Personalized Medicine, Normandie University, UNIROUEN, Inserm U1245 and Rouen University Hospital, Rouen, France
| | | | | | - Olivier Colliot
- Sorbonne Université, Paris Brain Institute - Institut du Cerveau - ICM, Inserm U1127, CNRS UMR 7225, AP-HP - Hôpital Pitié-Salpêtrière, Paris, France.,Aramis Project Team, Inria Paris Research Centre, Paris, France
| | - Bruno Dubois
- Sorbonne Université, Paris Brain Institute - Institut du Cerveau - ICM, Inserm U1127, CNRS UMR 7225, AP-HP - Hôpital Pitié-Salpêtrière, Paris, France.,Reference Centre for Rare or Early Dementias, IM2A, Départment de Neurologie, AP-HP - Hôpital Pitié-Salpêtrière, Paris, France.,Inserm U 1127, CNRS UMR 7225, Sorbonne Université, Paris Brain Institute-Institut du Cerveau (ICM), FRONTlab, Paris, France
| | - Alexis Brice
- Sorbonne Université, Paris Brain Institute - Institut du Cerveau - ICM, Inserm U1127, CNRS UMR 7225, AP-HP - Hôpital Pitié-Salpêtrière, Paris, France
| | - Richard Levy
- Sorbonne Université, Paris Brain Institute - Institut du Cerveau - ICM, Inserm U1127, CNRS UMR 7225, AP-HP - Hôpital Pitié-Salpêtrière, Paris, France.,Reference Centre for Rare or Early Dementias, IM2A, Départment de Neurologie, AP-HP - Hôpital Pitié-Salpêtrière, Paris, France.,Inserm U 1127, CNRS UMR 7225, Sorbonne Université, Paris Brain Institute-Institut du Cerveau (ICM), FRONTlab, Paris, France
| | - Sylvie Forlani
- Sorbonne Université, Paris Brain Institute - Institut du Cerveau - ICM, Inserm U1127, CNRS UMR 7225, AP-HP - Hôpital Pitié-Salpêtrière, Paris, France
| | - Isabelle Le Ber
- Sorbonne Université, Paris Brain Institute - Institut du Cerveau - ICM, Inserm U1127, CNRS UMR 7225, AP-HP - Hôpital Pitié-Salpêtrière, Paris, France .,Reference Centre for Rare or Early Dementias, IM2A, Départment de Neurologie, AP-HP - Hôpital Pitié-Salpêtrière, Paris, France.,Inserm U 1127, CNRS UMR 7225, Sorbonne Université, Paris Brain Institute-Institut du Cerveau (ICM), FRONTlab, Paris, France
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20
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Vacchiano V, Mastrangelo A, Zenesini C, Masullo M, Quadalti C, Avoni P, Polischi B, Cherici A, Capellari S, Salvi F, Liguori R, Parchi P. Plasma and CSF Neurofilament Light Chain in Amyotrophic Lateral Sclerosis: A Cross-Sectional and Longitudinal Study. Front Aging Neurosci 2021; 13:753242. [PMID: 34744694 PMCID: PMC8569186 DOI: 10.3389/fnagi.2021.753242] [Citation(s) in RCA: 36] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2021] [Accepted: 09/27/2021] [Indexed: 11/25/2022] Open
Abstract
Background: Neurofilament light chain (NfL) is a validated biofluid marker of neuroaxonal damage with great potential for monitoring patients with neurodegenerative diseases. We aimed to further validate the clinical utility of plasma (p) vs. CSF (c) NfL for distinguishing patients with Amyotrophic Lateral Sclerosis (ALS) from ALS mimics. We also assessed the association of biomarker values with clinical variables and survival and established the longitudinal changes of pNfL during the disease course. Methods: We studied 231 prospectively enrolled patients with suspected ALS who underwent a standardized protocol including neurological examination, electromyography, brain MRI, and lumbar puncture. Patients who received an alternative clinical diagnosis were considered ALS mimics. We classified the patients based on the disease progression rate (DPR) into fast (DPR > 1), intermediate (DPR 0.5–1), and slow progressors (DPR < 0.5). All patients were screened for the most frequent ALS-associated genes. Plasma and CSF samples were retrospectively analyzed; NfL concentrations were measured with the SIMOA platform using a commercial kit. Results: ALS patients (n = 171) showed significantly higher pNfL (p < 0.0001) and cNfL (p < 0.0001) values compared to ALS mimics (n = 60). Both cNfL and pNfL demonstrated a good diagnostic value in discriminating the two groups, although cNfL performed slightly better (cNfL: AUC 0.924 ± 0.022, sensitivity 86.8%, specificity 92.4; pNfL: AUC 0.873 ± 0.036, sensitivity 84.7%, specificity 83.3%). Fast progressors showed higher cNfL and pNfL as compared to intermediate (p = 0.026 and p = 0.001) and slow progressors (both p < 0.001). Accordingly, ALS patients with higher baseline cNfL and pNfL levels had a shorter survival (highest tertile of cNfL vs. lowest tertile, HR 4.58, p = 0.005; highest tertile of pNfL vs. lowest tertile, HR 2.59, p = 0.015). Moreover, there were positive associations between cNfL and pNfL levels and the number of body regions displaying UMN signs (rho = 0.325, p < 0.0001; rho = 0.308, p = 0.001). Finally, longitudinal analyses in 57 patients showed stable levels of pNfL during the disease course. Conclusion: Both cNfL and pNfL have excellent diagnostic and prognostic performance for symptomatic patients with ALS. The stable longitudinal trajectory of pNfL supports its use as a marker of drug effect in clinical trials.
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Affiliation(s)
- Veria Vacchiano
- Department of Biomedical and NeuroMotor Sciences (DIBINEM), University of Bologna, Bologna, Italy.,IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy
| | - Andrea Mastrangelo
- Department of Biomedical and NeuroMotor Sciences (DIBINEM), University of Bologna, Bologna, Italy
| | - Corrado Zenesini
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy
| | - Marco Masullo
- Department of Biomedical and NeuroMotor Sciences (DIBINEM), University of Bologna, Bologna, Italy
| | - Corinne Quadalti
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy
| | - Patrizia Avoni
- Department of Biomedical and NeuroMotor Sciences (DIBINEM), University of Bologna, Bologna, Italy.,IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy
| | - Barbara Polischi
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy
| | - Arianna Cherici
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy
| | - Sabina Capellari
- Department of Biomedical and NeuroMotor Sciences (DIBINEM), University of Bologna, Bologna, Italy.,IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy
| | - Fabrizio Salvi
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy
| | - Rocco Liguori
- Department of Biomedical and NeuroMotor Sciences (DIBINEM), University of Bologna, Bologna, Italy.,IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy
| | - Piero Parchi
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy.,Department of Experimental Diagnostic and Specialty Medicine (DIMES), University of Bologna, Bologna, Italy
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21
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Zhou YN, Chen YH, Dong SQ, Yang WB, Qian T, Liu XN, Cheng Q, Wang JC, Chen XJ. Role of Blood Neurofilaments in the Prognosis of Amyotrophic Lateral Sclerosis: A Meta-Analysis. Front Neurol 2021; 12:712245. [PMID: 34690913 PMCID: PMC8526968 DOI: 10.3389/fneur.2021.712245] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2021] [Accepted: 09/03/2021] [Indexed: 11/23/2022] Open
Abstract
Background: Neurofilaments in cerebrospinal fluid (CSF) and in blood are considered promising biomarkers of amyotrophic lateral sclerosis (ALS) because their levels can be significantly increased in patients with ALS. However, the roles of neurofilaments, especially blood neurofilaments, in the prognosis of ALS are inconsistent. We performed a meta-analysis to explore the prognostic roles of blood neurofilaments in ALS patients. Methods: We searched all relevant studies on the relationship between blood neurofilament levels and the prognosis of ALS patients in PubMed, Embase, Scopus, and Web of Science before February 2, 2021. The quality of the included articles was assessed using the Quality in Prognosis Studies (QUIPS) scale, and R (version 4.02) was used for statistical analysis. Results: Fourteen articles were selected, covering 1,619 ALS patients. The results showed that higher blood neurofilament light chain (NfL) levels in ALS patients were associated with a higher risk of death [medium vs. low NfL level: HR = 2.43, 95% CI (1.34–4.39), p < 0.01; high vs. low NfL level: HR = 4.51, 95% CI (2.45–8.32), p < 0.01]. There was a positive correlation between blood phosphorylated neurofilament heavy chain (pNfH) levels and risk of death in ALS patients [HR = 1.87, 95% CI (1.35–2.59), p < 0.01]. The levels of NfL and pNfH in blood positively correlated with disease progression rate (DPR) of ALS patients [NfL: summary r = 0.53, 95% CI (0.45–0.60), p < 0.01; pNfH: summary r = 0.51, 95% CI (0.24–0.71), p < 0.01]. Conclusion: The blood neurofilament levels can predict the prognosis of ALS patients; specifically, higher levels of blood neurofilaments are associated with a greater risk of death.
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Affiliation(s)
- Yan-Ni Zhou
- Ministry of Education Key Laboratory of Contemporary Anthropology, Department of Anthropology and Human Genetics, School of Life Sciences, Fudan University, Shanghai, China.,Department of Neurology, Huashan Hospital, Institute of Neurology, Fudan University and National Center Neurological Disorders, Shanghai, China
| | - You-Hong Chen
- Ministry of Education Key Laboratory of Contemporary Anthropology, Department of Anthropology and Human Genetics, School of Life Sciences, Fudan University, Shanghai, China
| | - Si-Qi Dong
- Department of Neurology, Huashan Hospital, Institute of Neurology, Fudan University and National Center Neurological Disorders, Shanghai, China
| | - Wen-Bo Yang
- Department of Neurology, Huashan Hospital, Institute of Neurology, Fudan University and National Center Neurological Disorders, Shanghai, China
| | - Ting Qian
- Department of Neurology, Huashan Hospital, Institute of Neurology, Fudan University and National Center Neurological Disorders, Shanghai, China
| | - Xiao-Ni Liu
- Department of Neurology, Huashan Hospital, Institute of Neurology, Fudan University and National Center Neurological Disorders, Shanghai, China
| | - Qi Cheng
- Department of Neurology, Ruijin Hospital Affiliated With the School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Jiu-Cun Wang
- Department of Dermatology, Huashan Hospital and Human Phenome Institute, Fudan University, Shanghai, China.,Institute of Rheumatology, Immunology and Allergy, Fudan University, Shanghai, China
| | - Xiang-Jun Chen
- Department of Neurology, Huashan Hospital, Institute of Neurology, Fudan University and National Center Neurological Disorders, Shanghai, China.,Department of Dermatology, Huashan Hospital and Human Phenome Institute, Fudan University, Shanghai, China
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22
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Witzel S, Frauhammer F, Steinacker P, Devos D, Pradat PF, Meininger V, Halbgebauer S, Oeckl P, Schuster J, Anders S, Dorst J, Otto M, Ludolph AC. Neurofilament light and heterogeneity of disease progression in amyotrophic lateral sclerosis: development and validation of a prediction model to improve interventional trials. Transl Neurodegener 2021; 10:31. [PMID: 34433481 PMCID: PMC8390195 DOI: 10.1186/s40035-021-00257-y] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2021] [Accepted: 08/07/2021] [Indexed: 11/10/2022] Open
Abstract
Background Interventional trials in amyotrophic lateral sclerosis (ALS) suffer from the heterogeneity of the disease as it considerably reduces statistical power. We asked if blood neurofilament light chains (NfL) could be used to anticipate disease progression and increase trial power. Methods In 125 patients with ALS from three independent prospective studies—one observational study and two interventional trials—we developed and externally validated a multivariate linear model for predicting disease progression, measured by the monthly decrease of the ALS Functional Rating Scale Revised (ALSFRS-R) score. We trained the prediction model in the observational study and tested the predictive value of the following parameters assessed at diagnosis: NfL levels, sex, age, site of onset, body mass index, disease duration, ALSFRS-R score, and monthly ALSFRS-R score decrease since disease onset. We then applied the resulting model in the other two study cohorts to assess the actual utility for interventional trials. We analyzed the impact on trial power in mixed-effects models and compared the performance of the NfL model with two currently used predictive approaches, which anticipate disease progression using the ALSFRS-R decrease during a three-month observational period (lead-in) or since disease onset (ΔFRS). Results Among the parameters provided, the NfL levels (P < 0.001) and the interaction with site of onset (P < 0.01) contributed significantly to the prediction, forming a robust NfL prediction model (R = 0.67). Model application in the trial cohorts confirmed its applicability and revealed superiority over lead-in and ΔFRS-based approaches. The NfL model improved statistical power by 61% and 22% (95% confidence intervals: 54%–66%, 7%–29%). Conclusion The use of the NfL-based prediction model to compensate for clinical heterogeneity in ALS could significantly increase the trial power. NCT00868166, registered March
23, 2009; NCT02306590, registered December 2, 2014. Supplementary Information The online version contains supplementary material available at 10.1186/s40035-021-00257-y.
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Affiliation(s)
- Simon Witzel
- Department of Neurology, University of Ulm, Ulm, Germany.
| | - Felix Frauhammer
- Center for Molecular Biology, Heidelberg University, Heidelberg, Germany
| | | | - David Devos
- Department of Medical Pharmacology, Expert center for Parkinson, CHU-Lille, Lille Neuroscience and Cognition, Inserm, UMR-S1172, LICEND, NS-Park Network, University of Lille, Lille, France
| | | | - Vincent Meininger
- APHP, Département de Neurologie, Hôpital Pitié-Salpêtrière, Paris, France
| | | | - Patrick Oeckl
- Department of Neurology, University of Ulm, Ulm, Germany
| | | | - Simon Anders
- Center for Molecular Biology, Heidelberg University, Heidelberg, Germany
| | - Johannes Dorst
- Department of Neurology, University of Ulm, Ulm, Germany
| | - Markus Otto
- Department of Neurology, University of Ulm, Ulm, Germany
| | - Albert C Ludolph
- Department of Neurology, University of Ulm, Ulm, Germany.,German Centre for Neurodegenerative Diseases (DZNE) Site Ulm, Ulm, Germany
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23
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Circulating Biomarkers in Neuromuscular Disorders: What Is Known, What Is New. Biomolecules 2021; 11:biom11081246. [PMID: 34439911 PMCID: PMC8393752 DOI: 10.3390/biom11081246] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2021] [Revised: 08/16/2021] [Accepted: 08/19/2021] [Indexed: 02/07/2023] Open
Abstract
The urgent need for new therapies for some devastating neuromuscular diseases (NMDs), such as Duchenne muscular dystrophy or amyotrophic lateral sclerosis, has led to an intense search for new potential biomarkers. Biomarkers can be classified based on their clinical value into different categories: diagnostic biomarkers confirm the presence of a specific disease, prognostic biomarkers provide information about disease course, and therapeutic biomarkers are designed to predict or measure treatment response. Circulating biomarkers, as opposed to instrumental/invasive ones (e.g., muscle MRI or nerve ultrasound, muscle or nerve biopsy), are generally easier to access and less “time-consuming”. In addition to well-known creatine kinase, other promising molecules seem to be candidate biomarkers to improve the diagnosis, prognosis and prediction of therapeutic response, such as antibodies, neurofilaments, and microRNAs. However, there are some criticalities that can complicate their application: variability during the day, stability, and reliable performance metrics (e.g., accuracy, precision and reproducibility) across laboratories. In the present review, we discuss the application of biochemical biomarkers (both validated and emerging) in the most common NMDs with a focus on their diagnostic, prognostic/predictive and therapeutic application, and finally, we address the critical issues in the introduction of new biomarkers.
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24
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Verde F, Otto M, Silani V. Neurofilament Light Chain as Biomarker for Amyotrophic Lateral Sclerosis and Frontotemporal Dementia. Front Neurosci 2021; 15:679199. [PMID: 34234641 PMCID: PMC8255624 DOI: 10.3389/fnins.2021.679199] [Citation(s) in RCA: 64] [Impact Index Per Article: 21.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2021] [Accepted: 04/29/2021] [Indexed: 11/13/2022] Open
Abstract
Amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD) are two related currently incurable neurodegenerative diseases. ALS is characterized by degeneration of upper and lower motor neurons causing relentless paralysis of voluntary muscles, whereas in FTD, progressive atrophy of the frontal and temporal lobes of the brain results in deterioration of cognitive functions, language, personality, and behavior. In contrast to Alzheimer's disease (AD), ALS and FTD still lack a specific neurochemical biomarker reflecting neuropathology ex vivo. However, in the past 10 years, considerable progress has been made in the characterization of neurofilament light chain (NFL) as cerebrospinal fluid (CSF) and blood biomarker for both diseases. NFL is a structural component of the axonal cytoskeleton and is released into the CSF as a consequence of axonal damage or degeneration, thus behaving in general as a relatively non-specific marker of neuroaxonal pathology. However, in ALS, the elevation of its CSF levels exceeds that observed in most other neurological diseases, making it useful for the discrimination from mimic conditions and potentially worthy of consideration for introduction into diagnostic criteria. Moreover, NFL correlates with disease progression rate and is negatively associated with survival, thus providing prognostic information. In FTD patients, CSF NFL is elevated compared with healthy individuals and, to a lesser extent, patients with other forms of dementia, but the latter difference is not sufficient to enable a satisfying diagnostic performance at individual patient level. However, also in FTD, CSF NFL correlates with several measures of disease severity. Due to technological progress, NFL can now be quantified also in peripheral blood, where it is present at much lower concentrations compared with CSF, thus allowing less invasive sampling, scalability, and longitudinal measurements. The latter has promoted innovative studies demonstrating longitudinal kinetics of NFL in presymptomatic individuals harboring gene mutations causing ALS and FTD. Especially in ALS, NFL levels are generally stable over time, which, together with their correlation with progression rate, makes NFL an ideal pharmacodynamic biomarker for therapeutic trials. In this review, we illustrate the significance of NFL as biomarker for ALS and FTD and discuss unsolved issues and potential for future developments.
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Affiliation(s)
- Federico Verde
- Department of Neurology-Stroke Unit and Laboratory of Neuroscience, Istituto Auxologico Italiano, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Milan, Italy.,Department of Pathophysiology and Transplantation, "Dino Ferrari" Center, Università degli Studi di Milano, Milan, Italy
| | - Markus Otto
- Department of Neurology, Ulm University Hospital, Ulm, Germany
| | - Vincenzo Silani
- Department of Neurology-Stroke Unit and Laboratory of Neuroscience, Istituto Auxologico Italiano, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Milan, Italy.,Department of Pathophysiology and Transplantation, "Dino Ferrari" Center, Università degli Studi di Milano, Milan, Italy
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25
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Cognitive dysfunction in amyotrophic lateral sclerosis: can we predict it? Neurol Sci 2021; 42:2211-2222. [PMID: 33772353 PMCID: PMC8159827 DOI: 10.1007/s10072-021-05188-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2020] [Accepted: 03/15/2021] [Indexed: 01/26/2023]
Abstract
Background and aim Amyotrophic lateral sclerosis (ALS) is a progressive neurodegenerative disorder characterized by the degeneration of both upper and lower motoneurons in the brain and spinal cord leading to motor and extra-motor symptoms. Although traditionally considered a pure motor disease, recent evidences suggest that ALS is a multisystem disorder. Neuropsychological alterations, in fact, are observed in more than 50% of patients: while executive dysfunctions have been firstly identified, alterations in verbal fluency, behavior, and pragmatic and social cognition have also been described. Detecting and monitoring ALS cognitive and behavioral impairment even at early disease stages is likely to have staging and prognostic implications, and it may impact the enrollment in future clinical trials. During the last 10 years, humoral, radiological, neurophysiological, and genetic biomarkers have been reported in ALS, and some of them seem to potentially correlate to cognitive and behavioral impairment of patients. In this review, we sought to give an up-to-date state of the art of neuropsychological alterations in ALS: we will describe tests used to detect cognitive and behavioral impairment, and we will focus on promising non-invasive biomarkers to detect pre-clinical cognitive decline. Conclusions To date, the research on humoral, radiological, neurophysiological, and genetic correlates of neuropsychological alterations is at the early stage, and no conclusive longitudinal data have been published. Further and longitudinal studies on easily accessible and quantifiable biomarkers are needed to clarify the time course and the evolution of cognitive and behavioral impairments of ALS patients.
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26
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Fluid Biomarkers of Frontotemporal Lobar Degeneration. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2021; 1281:123-139. [PMID: 33433873 DOI: 10.1007/978-3-030-51140-1_9] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
A timely diagnosis of frontotemporal degeneration (FTD) is frequently challenging due to the heterogeneous symptomatology and poor phenotype-pathological correlation. Fluid biomarkers that reflect FTD pathophysiology could be instrumental in both clinical practice and pharmaceutical trials. In recent years, significant progress has been made in developing biomarkers of neurodegenerative diseases: amyloid-β and tau in cerebrospinal fluid (CSF) can be used to exclude Alzheimer's disease, while neurofilament light chain (NfL) is emerging as a promising, albeit nonspecific, marker of neurodegeneration in both CSF and blood. Gene-specific biomarkers such as PGRN in GRN mutation carriers and dipeptide repeat proteins in C9orf72 mutation carriers are potential target engagement markers in genetic FTD trials. Novel techniques capable of measuring very low concentrations of brain-derived proteins in peripheral fluids are facilitating studies of blood biomarkers as a minimally invasive alternative to CSF. A major remaining challenge is the identification of a biomarker that can be used to predict the neuropathological substrate in sporadic FTD patients.
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27
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Falzone YM, Russo T, Domi T, Pozzi L, Quattrini A, Filippi M, Riva N. Current application of neurofilaments in amyotrophic lateral sclerosis and future perspectives. Neural Regen Res 2021; 16:1985-1991. [PMID: 33642372 PMCID: PMC8343335 DOI: 10.4103/1673-5374.308072] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
Motor neuron disease includes a heterogeneous group of relentless progressive neurological disorders defined and characterized by the degeneration of motor neurons. Amyotrophic lateral sclerosis is the most common and aggressive form of motor neuron disease with no effective treatment so far. Unfortunately, diagnostic and prognostic biomarkers are lacking in clinical practice. Neurofilaments are fundamental structural components of the axons and neurofilament light chain and phosphorylated neurofilament heavy chain can be measured in both cerebrospinal fluid and serum. Neurofilament light chain and phosphorylated neurofilament heavy chain levels are elevated in amyotrophic lateral sclerosis, reflecting the extensive damage of motor neurons and axons. Hence, neurofilaments are now increasingly recognized as the most promising candidate biomarker in amyotrophic lateral sclerosis. The potential usefulness of neurofilaments regards various aspects, including diagnosis, prognosis, patient stratification in clinical trials and evaluation of treatment response. In this review paper, we review the body of literature about neurofilaments measurement in amyotrophic lateral sclerosis. We also discuss the open issues concerning the use of neurofilaments clinical practice, as no overall guideline exists to date; finally, we address the most recent evidence and future perspectives.
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Affiliation(s)
- Yuri Matteo Falzone
- Neuropathology Unit, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute; Neurology and Neurorehabilitation Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Tommaso Russo
- Neuropathology Unit, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute; Neurology and Neurorehabilitation Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Teuta Domi
- Neuropathology Unit, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Milan, Italy
| | - Laura Pozzi
- Neuropathology Unit, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Milan, Italy
| | - Angelo Quattrini
- Neuropathology Unit, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Milan, Italy
| | - Massimo Filippi
- Neurology and Neurorehabilitation Unit; Neurophysiology Unit, IRCCS San Raffaele Scientific Institute; Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute; Vita-Salute San Rafaele University, Milan, Italy
| | - Nilo Riva
- Neuropathology Unit, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute; Neurology and Neurorehabilitation Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
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28
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Wagner M, Lorenz G, Volk AE, Brunet T, Edbauer D, Berutti R, Zhao C, Anderl-Straub S, Bertram L, Danek A, Deschauer M, Dill V, Fassbender K, Fliessbach K, Götze KS, Jahn H, Kornhuber J, Landwehrmeyer B, Lauer M, Obrig H, Prudlo J, Schneider A, Schroeter ML, Uttner I, Vukovich R, Wiltfang J, Winkler AS, Zhou Q, Ludolph AC, Oexle K, Otto M, Diehl-Schmid J, Winkelmann J. Clinico-genetic findings in 509 frontotemporal dementia patients. Mol Psychiatry 2021; 26:5824-5832. [PMID: 34561610 PMCID: PMC8758482 DOI: 10.1038/s41380-021-01271-2] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/03/2020] [Revised: 07/09/2021] [Accepted: 08/19/2021] [Indexed: 02/07/2023]
Abstract
Frontotemporal dementia (FTD) is a clinically and genetically heterogeneous disorder. To which extent genetic aberrations dictate clinical presentation remains elusive. We investigated the spectrum of genetic causes and assessed the genotype-driven differences in biomarker profiles, disease severity and clinical manifestation by recruiting 509 FTD patients from different centers of the German FTLD consortium where individuals were clinically assessed including biomarker analysis. Exome sequencing as well as C9orf72 repeat analysis were performed in all patients. These genetic analyses resulted in a diagnostic yield of 18.1%. Pathogenic variants in C9orf72 (n = 47), GRN (n = 26), MAPT (n = 11), TBK1 (n = 5), FUS (n = 1), TARDBP (n = 1), and CTSF (n = 1) were identified across all clinical subtypes of FTD. TBK1-associated FTD was frequent accounting for 5.4% of solved cases. Detection of a homozygous missense variant verified CTSF as an FTD gene. ABCA7 was identified as a candidate gene for monogenic FTD. The distribution of APOE alleles did not differ significantly between FTD patients and the average population. Male sex was weakly associated with clinical manifestation of the behavioral variant of FTD. Age of onset was lowest in MAPT patients. Further, high CSF neurofilament light chain levels were found to be related to GRN-associated FTD. Our study provides large-scale retrospective clinico-genetic data such as on disease manifestation and progression of FTD. These data will be relevant for counseling patients and their families.
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Affiliation(s)
- Matias Wagner
- grid.4567.00000 0004 0483 2525Institut für Neurogenomik, Helmholtz Zentrum München, Deutsches Forschungszentrum für Gesundheit und Umwelt (GmbH), Neuherberg, Germany ,grid.6936.a0000000123222966Institute of Human Genetics, Technical University München, Munich, Germany ,Institute of Human Genetics, Helmholtz Zentrum München, Deutsches Forschungszentrum für Gesundheit und Umwelt (GmbH), Neuherberg, Germany
| | - Georg Lorenz
- grid.15474.330000 0004 0477 2438Department of Nephrology, Klinikum rechts der Isar, Technical University Munich, Munich, Germany
| | - Alexander E. Volk
- grid.13648.380000 0001 2180 3484Institute of Human Genetics, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Theresa Brunet
- grid.4567.00000 0004 0483 2525Institut für Neurogenomik, Helmholtz Zentrum München, Deutsches Forschungszentrum für Gesundheit und Umwelt (GmbH), Neuherberg, Germany ,grid.6936.a0000000123222966Institute of Human Genetics, Technical University München, Munich, Germany
| | - Dieter Edbauer
- grid.424247.30000 0004 0438 0426German Center for Neurodegenerative Diseases (DZNE), Munich, Munich, Germany ,grid.452617.3Munich Cluster of Systems Neurology (SyNergy), Munich, Germany
| | - Riccardo Berutti
- grid.6936.a0000000123222966Institute of Human Genetics, Technical University München, Munich, Germany ,Institute of Human Genetics, Helmholtz Zentrum München, Deutsches Forschungszentrum für Gesundheit und Umwelt (GmbH), Neuherberg, Germany
| | - Chen Zhao
- grid.4567.00000 0004 0483 2525Institut für Neurogenomik, Helmholtz Zentrum München, Deutsches Forschungszentrum für Gesundheit und Umwelt (GmbH), Neuherberg, Germany
| | - Sarah Anderl-Straub
- grid.6582.90000 0004 1936 9748Department of Neurology, University of Ulm, Ulm, Germany
| | - Lars Bertram
- grid.4562.50000 0001 0057 2672Lübeck Interdisciplinary Platform for Genome Analytics (LIGA), Institutes of Neurogenetics and Cardiogenetics, University of Lübeck, Lübeck, Germany
| | - Adrian Danek
- grid.5252.00000 0004 1936 973XNeurologische Klinik und Poliklinik, Ludwig-Maximilians-Universität, Munich, Germany
| | - Marcus Deschauer
- grid.6936.a0000000123222966Department of Neurology, Technische Universität München, School of Medicine, Munich, Germany
| | - Veronika Dill
- grid.6936.a0000000123222966Clinic and Policlinic for Internal Medicine III, Technical University Munich, School of Medicine, Munich, Germany
| | - Klaus Fassbender
- grid.411937.9Department of Neurology, Saarland University Medical Center, Homburg, Germany
| | - Klaus Fliessbach
- grid.10388.320000 0001 2240 3300Department of Neurodegenerative Diseases and Geriatric Psychiatry, University Bonn, Bonn, Germany ,grid.424247.30000 0004 0438 0426German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Katharina S. Götze
- grid.6936.a0000000123222966Clinic and Policlinic for Internal Medicine III, Technical University Munich, School of Medicine, Munich, Germany
| | - Holger Jahn
- grid.13648.380000 0001 2180 3484Clinic for Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Johannes Kornhuber
- grid.411668.c0000 0000 9935 6525Department of Psychiatry and Psychotherapy, Universitätsklinikum Erlangen, and Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | | | - Martin Lauer
- grid.8379.50000 0001 1958 8658Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University of Würzburg, Würzburg, Germany
| | - Hellmuth Obrig
- grid.419524.f0000 0001 0041 5028Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany ,grid.411339.d0000 0000 8517 9062Clinic for Cognitive Neurology, University Hospital Leipzig, Leipzig, Germany
| | - Johannes Prudlo
- grid.413108.f0000 0000 9737 0454Department of Neurology, Rostock University Medical Center, German Center for Neurodegenerative Diseases (DZNE), Rostock, Germany
| | - Anja Schneider
- grid.10388.320000 0001 2240 3300Department of Neurodegenerative Diseases and Geriatric Psychiatry, University Bonn, Bonn, Germany ,grid.424247.30000 0004 0438 0426German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Matthias L. Schroeter
- grid.419524.f0000 0001 0041 5028Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany ,grid.411339.d0000 0000 8517 9062Clinic for Cognitive Neurology, University Hospital Leipzig, Leipzig, Germany
| | - Ingo Uttner
- grid.6582.90000 0004 1936 9748Department of Neurology, University of Ulm, Ulm, Germany
| | - Ruth Vukovich
- grid.7450.60000 0001 2364 4210Department of Psychiatry and Psychotherapy, University Medical Center Goettingen (UMG), Georg-August University, Goettingen, Germany
| | - Jens Wiltfang
- grid.7450.60000 0001 2364 4210Department of Psychiatry and Psychotherapy, University Medical Center Goettingen (UMG), Georg-August University, Goettingen, Germany ,grid.424247.30000 0004 0438 0426German Center for Neurodegenerative Diseases (DZNE), Goettingen, Germany ,grid.7311.40000000123236065Neurosciences and Signaling Group, Institute of Biomedicine (iBiMED), Department of Medical Sciences, University of Aveiro, Aveiro, Portugal
| | - Andrea S. Winkler
- grid.6936.a0000000123222966Department of Neurology, Technische Universität München, School of Medicine, Munich, Germany ,grid.5510.10000 0004 1936 8921Centre for Global Health, Institute of Health and Society, University of Oslo, Oslo, Norway
| | - Qihui Zhou
- grid.424247.30000 0004 0438 0426German Center for Neurodegenerative Diseases (DZNE), Munich, Munich, Germany ,grid.452617.3Munich Cluster of Systems Neurology (SyNergy), Munich, Germany
| | - Albert C. Ludolph
- grid.6582.90000 0004 1936 9748Department of Neurology, University of Ulm, Ulm, Germany ,grid.424247.30000 0004 0438 0426German Center for Neurodegenerative Diseases (DZNE), Ulm, Oberer Eselsberg, Ulm, Germany
| | | | - Konrad Oexle
- grid.4567.00000 0004 0483 2525Institut für Neurogenomik, Helmholtz Zentrum München, Deutsches Forschungszentrum für Gesundheit und Umwelt (GmbH), Neuherberg, Germany
| | - Markus Otto
- Department of Neurology, University of Ulm, Ulm, Germany. .,Department of Neurology, Martin Luther University Halle-Wittenberg, Halle, Germany.
| | - Janine Diehl-Schmid
- School of Medicine, Department of Psychiatry and Psychotherapy, Technical University of Munich, Munich, Germany.
| | - Juliane Winkelmann
- Institut für Neurogenomik, Helmholtz Zentrum München, Deutsches Forschungszentrum für Gesundheit und Umwelt (GmbH), Neuherberg, Germany. .,Munich Cluster of Systems Neurology (SyNergy), Munich, Germany. .,Chair of Neurogenetics, Technical University of Munich, Munich, Germany.
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29
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Wang SY, Chen W, Xu W, Li JQ, Hou XH, Ou YN, Yu JT, Tan L. Neurofilament Light Chain in Cerebrospinal Fluid and Blood as a Biomarker for Neurodegenerative Diseases: A Systematic Review and Meta-Analysis. J Alzheimers Dis 2020; 72:1353-1361. [PMID: 31744001 DOI: 10.3233/jad-190615] [Citation(s) in RCA: 41] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
BACKGROUND Neurofilament light chain (NFL) as a potential biomarker of neurodegenerative diseases has been studied in a number of studies. Thus, a comprehensive meta-analysis is warranted to assess NFL performance in neurodegenerative diseases. OBJECTIVE To assess the performance of NFL in blood and cerebrospinal fluid (CSF) as a biomarker for neurodegenerative diseases. METHODS A total of 36 studies with comparison of NFL level between individuals with neurodegenerative diseases and controls were retrieved from PubMed, Web of Science and Science Direct, and the ratio of means method and delta method based on the random-effect model were used to analyze the differentiation of NFL between patients and controls. RESULTS Differentiation of CSF NFL between patients with neurodegenerative diseases and controls showed significant results. Although a few studies on blood NFL available were included in the meta-analysis, the results still showed a distinct possibility that NFL could be a potential biomarker for neurodegenerative diseases. NFL levels were increased significantly in dementias, amyotrophic lateral sclerosis, Creutzfeldt-Jakob disease, and Huntington's disease. By contrast, NFL levels were not increased in Parkinson's disease (PD), although they were increased significantly in PD-related disorders (multiple system atrophy and progressive supranuclear palsy). CONCLUSIONS In our study, in addition to PD, NFL was suggested to be a global diagnostic biomarker for neurodegenerative diseases. Moreover, it could be used in differential diagnosis of PD and PD-related disorders. However, it was worth noting that NFL was not appropriate for diagnosis or differential diagnosis without clinical symptoms and other auxiliary examinations.
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Affiliation(s)
- Shao-Yang Wang
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Wei Chen
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Wei Xu
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Jie-Qiong Li
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Xiao-He Hou
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Ya-Nan Ou
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Jin-Tai Yu
- Department of Neurology and Institute of Neurology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Lan Tan
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
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30
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Zucchi E, Bonetto V, Sorarù G, Martinelli I, Parchi P, Liguori R, Mandrioli J. Neurofilaments in motor neuron disorders: towards promising diagnostic and prognostic biomarkers. Mol Neurodegener 2020; 15:58. [PMID: 33059698 PMCID: PMC7559190 DOI: 10.1186/s13024-020-00406-3] [Citation(s) in RCA: 63] [Impact Index Per Article: 15.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2020] [Accepted: 09/18/2020] [Indexed: 12/11/2022] Open
Abstract
Motor neuron diseases (MNDs) are etiologically and biologically heterogeneous diseases. The pathobiology of motor neuron degeneration is still largely unknown, and no effective therapy is available. Heterogeneity and lack of specific disease biomarkers have been appointed as leading reasons for past clinical trial failure, and biomarker discovery is pivotal in today's MND research agenda.In the last decade, neurofilaments (NFs) have emerged as promising biomarkers for the clinical assessment of neurodegeneration. NFs are scaffolding proteins with predominant structural functions contributing to the axonal cytoskeleton of myelinated axons. NFs are released in CSF and peripheral blood as a consequence of axonal degeneration, irrespective of the primary causal event. Due to the current availability of highly-sensitive automated technologies capable of precisely quantify proteins in biofluids in the femtomolar range, it is now possible to reliably measure NFs not only in CSF but also in blood.In this review, we will discuss how NFs are impacting research and clinical management in ALS and other MNDs. Besides contributing to the diagnosis at early stages by differentiating between MNDs with different clinical evolution and severity, NFs may provide a useful tool for the early enrolment of patients in clinical trials. Due to their stability across the disease, NFs convey prognostic information and, on a larger scale, help to stratify patients in homogenous groups. Shortcomings of NFs assessment in biofluids will also be discussed according to the available literature in the attempt to predict the most appropriate use of the biomarker in the MND clinic.
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Affiliation(s)
- Elisabetta Zucchi
- Department of Biomedical, Metabolic and Neural Science, University of Modena and Reggio Emilia, Modena, Italy
| | - Valentina Bonetto
- Department of Biochemistry and Molecular Pharmacology, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy
| | - Gianni Sorarù
- Neuromuscular Center, Department of Neurosciences, University of Padova, Padua, Italy.,Clinica Neurologica, Azienda Ospedaliera di Padova, Padua, Italy
| | - Ilaria Martinelli
- Department of Neurosciences, Azienda Ospedaliero Universitaria Modena, Modena, Italy
| | - Piero Parchi
- IRCCS Istituto delle Scienze Neurologiche, Ospedale Bellaria, Bologna, Italy.,Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, Bologna, Italy
| | - Rocco Liguori
- IRCCS Istituto delle Scienze Neurologiche, Ospedale Bellaria, Bologna, Italy.,Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
| | - Jessica Mandrioli
- Department of Neurosciences, Azienda Ospedaliero Universitaria Modena, Modena, Italy.
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Sun Q, Zhao X, Li S, Yang F, Wang H, Cui F, Huang X. CSF Neurofilament Light Chain Elevation Predicts ALS Severity and Progression. Front Neurol 2020; 11:919. [PMID: 32982935 PMCID: PMC7484044 DOI: 10.3389/fneur.2020.00919] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2020] [Accepted: 07/16/2020] [Indexed: 12/11/2022] Open
Abstract
Objectives: This study compared neurofilament light chain (NFL) levels in the cerebrospinal fluid (CSF) of patients with sporadic amyotrophic lateral sclerosis (sALS) with levels in patients with other neurological diseases and healthy controls and assessed correlations between NFL levels and clinical indicators of sALS. Methods: We used enzyme-linked immunosorbent assays to determine the NFL levels in the CSF of 45 patients with sALS, 21 patients with other central nervous system diseases (OCNSDs), 18 with immune-mediated peripheral neuropathy (IMPN), 14 with non-immune-mediated peripheral neuropathy (NIMPN), and 19 healthy controls (HCs). Results: The median NFL levels in the CSF of the sALS, OCNSD, IMPN, NIMPN, and HC groups were 6510, 5372, 4320, 1477, and 756 pg/mL, respectively. The CSF NFL levels did not differ significantly among the sALS, IMPN, and OCNSD groups, but were significantly higher than those of the NIMPN and HC groups. The NFL CSF levels were significantly higher in the NIMPN group than the HCs. There was a negative correlation between the NFL level and ALS function score (ALSFRS-R), and a positive correlation with the disease progression rate in patients with sALS. Conclusion: CSF NFL may not be sufficient to distinguish ALS from other central nervous system diseases or peripheral neuropathy, but it predicts ALS severity and progression.
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Affiliation(s)
- Qionghua Sun
- Neurological Department of the First Medical Center, Chinese PLA General Hospital, Beijing, China.,College of Medicine, Nankai University, Tianjin, China
| | - Xue Zhao
- Neurological Department of the First Medical Center, Chinese PLA General Hospital, Beijing, China.,College of Medicine, Nankai University, Tianjin, China
| | - Siyuan Li
- Neurological Department of the First Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Fei Yang
- Neurological Department of the First Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Hongfen Wang
- Neurological Department of the First Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Fang Cui
- Neurological Department of Hainan Hospital, Chinese PLA General Hospital, Sanya, China
| | - Xusheng Huang
- Neurological Department of the First Medical Center, Chinese PLA General Hospital, Beijing, China.,College of Medicine, Nankai University, Tianjin, China
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Different Clinical Contexts of Use of Blood Neurofilament Light Chain Protein in the Spectrum of Neurodegenerative Diseases. Mol Neurobiol 2020; 57:4667-4691. [PMID: 32772223 DOI: 10.1007/s12035-020-02035-9] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2020] [Accepted: 07/22/2020] [Indexed: 12/11/2022]
Abstract
One of the most pressing challenges in the clinical research of neurodegenerative diseases (NDDs) is the validation and standardization of pathophysiological biomarkers for different contexts of use (CoUs), such as early detection, diagnosis, prognosis, and prediction of treatment response. Neurofilament light chain (NFL) concentration is a particularly promising candidate, an indicator of axonal degeneration, which can be analyzed in peripheral blood with advanced ultrasensitive methods. Serum/plasma NFL concentration is closely correlated with cerebrospinal fluid NFL and directly reflects neurodegeneration within the central nervous system. Here, we provide an update on the feasible CoU of blood NFL in NDDs and translate recent findings to potentially valuable clinical practice applications. As NFL is not a disease-specific biomarker, however, blood NFL is an easily accessible biomarker with promising different clinical applications for several NDDs: (1) early detection and diagnosis (i.e., amyotrophic lateral sclerosis, Creutzfeldt-Jakob disease, atypical parkinsonisms, sporadic late-onset ataxias), (2) prognosis (Huntington's disease and Parkinson's disease), and (3) prediction of time to symptom onset (presymptomatic mutation carriers in genetic Alzheimer's disease and spinocerebellar ataxia type 3).
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Goyal NA, Berry JD, Windebank A, Staff NP, Maragakis NJ, van den Berg LH, Genge A, Miller R, Baloh RH, Kern R, Gothelf Y, Lebovits C, Cudkowicz M. Addressing heterogeneity in amyotrophic lateral sclerosis CLINICAL TRIALS. Muscle Nerve 2020; 62:156-166. [PMID: 31899540 PMCID: PMC7496557 DOI: 10.1002/mus.26801] [Citation(s) in RCA: 55] [Impact Index Per Article: 13.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2019] [Revised: 12/30/2019] [Accepted: 12/31/2019] [Indexed: 12/12/2022]
Abstract
Amyotrophic lateral sclerosis (ALS) is a debilitating neurodegenerative disorder with complex biology and significant clinical heterogeneity. Many preclinical and early phase ALS clinical trials have yielded promising results that could not be replicated in larger phase 3 confirmatory trials. One reason for the lack of reproducibility may be ALS biological and clinical heterogeneity. Therefore, in this review, we explore sources of ALS heterogeneity that may reduce statistical power to evaluate efficacy in ALS trials. We also review efforts to manage clinical heterogeneity, including use of validated disease outcome measures, predictive biomarkers of disease progression, and individual clinical risk stratification. We propose that personalized prognostic models with use of predictive biomarkers may identify patients with ALS for whom a specific therapeutic strategy may be expected to be more successful. Finally, the rapid application of emerging clinical and biomarker strategies may reduce heterogeneity, increase trial efficiency, and, in turn, accelerate ALS drug development.
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Affiliation(s)
| | - James D. Berry
- Healey Center at Massachusetts General HospitalBostonMassachusetts
| | | | | | | | | | - Angela Genge
- Montreal Neurological Institute and HospitalMontreal, QuebecCanada
| | - Robert Miller
- California Pacific Medical CenterSan FranciscoCalifornia
| | - Robert H. Baloh
- Robert H. Baloh, Cedars‐Sinai Medical CenterCaliforniaLos Angeles
| | - Ralph Kern
- Brainstorm Cell TherapeuticsNew YorkNew York
| | | | | | - Merit Cudkowicz
- Healey Center at Massachusetts General HospitalBostonMassachusetts
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Rosso M, Gonzalez CT, Healy BC, Saxena S, Paul A, Bjornevik K, Kuhle J, Benkert P, Leppert D, Guttmann C, Bakshi R, Weiner HL, Chitnis T. Temporal association of sNfL and gad-enhancing lesions in multiple sclerosis. Ann Clin Transl Neurol 2020; 7:945-955. [PMID: 32452160 PMCID: PMC7318095 DOI: 10.1002/acn3.51060] [Citation(s) in RCA: 36] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2019] [Revised: 02/26/2020] [Accepted: 04/25/2020] [Indexed: 12/12/2022] Open
Abstract
Objective Multiple sclerosis (MS) is an autoimmune demyelinating disorder, which is characterized by relapses and remissions. Serum neurofilament light chain (sNfL) is an emerging biomarker of disease activity but its clinical use is still limited. In this study, we aim to characterize the temporal association between sNfL and new clinical relapses and new gadolinium‐enhancing (Gd+) lesions. Methods Annual sNfL levels were measured with a single‐molecule array (SIMOA) assay in 94 patients with MS enrolled in the Comprehensive Longitudinal Investigation of Multiple Sclerosis at the Brigham and Women’s Hospital (CLIMB) study. We used a multivariable linear mixed‐effects model to test the temporal association of sNfL with clinical relapses and/or new Gd+ lesions. We adjusted this model for age, disease duration, sex, and disease‐modifying therapies (DMTs) use. Results In the 3 months after a Gd+ lesion, we observed an average 35% elevation in sNfL (P < 0.0001) compared to remission samples. We also observed an average 32.3% elevation in sNfL at the time of or prior to a Gd+ lesion (P = 0.002) compared to remission. We observed a significant elevation in sNfL after a clinical relapse only when associated with a Gd+ lesion. Interpretation Our findings support sNfL as a marker of clinical relapses and Gd+ lesions. sNfL peaks in a 3‐month window around Gd+ lesions. sNfL shows promise as a biomarker of neurological inflammation and possibly of simultaneous Gd+ lesions during a clinical relapse.
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Affiliation(s)
- Mattia Rosso
- Harvard Medical School, Boston, Massachusetts, 02115, USA.,Ann Romney Center for Neurologic Disease, Harvard Medical School, Boston, Massachusetts, 02115, USA
| | - Cindy T Gonzalez
- Harvard Medical School, Boston, Massachusetts, 02115, USA.,Ann Romney Center for Neurologic Disease, Harvard Medical School, Boston, Massachusetts, 02115, USA
| | - Brian C Healy
- Harvard Medical School, Boston, Massachusetts, 02115, USA.,Ann Romney Center for Neurologic Disease, Harvard Medical School, Boston, Massachusetts, 02115, USA.,Massachusetts General Hospital Biostatistics Center, Boston, Massachusetts, USA
| | - Shrishti Saxena
- Harvard Medical School, Boston, Massachusetts, 02115, USA.,Ann Romney Center for Neurologic Disease, Harvard Medical School, Boston, Massachusetts, 02115, USA
| | - Anu Paul
- Harvard Medical School, Boston, Massachusetts, 02115, USA.,Ann Romney Center for Neurologic Disease, Harvard Medical School, Boston, Massachusetts, 02115, USA
| | - Kjetil Bjornevik
- Department on Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Jens Kuhle
- Departments of Medicine, Biomedicine and Clinical Research, Neurologic Clinic and Policlinic, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Pascal Benkert
- Department of Clinical Research, Clinical Trial Unit, University Hospital Basel, University of Basel, Basel, Switzerland
| | - David Leppert
- Departments of Medicine, Biomedicine and Clinical Research, Neurologic Clinic and Policlinic, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Charles Guttmann
- Harvard Medical School, Boston, Massachusetts, 02115, USA.,Ann Romney Center for Neurologic Disease, Harvard Medical School, Boston, Massachusetts, 02115, USA
| | - Rohit Bakshi
- Harvard Medical School, Boston, Massachusetts, 02115, USA.,Ann Romney Center for Neurologic Disease, Harvard Medical School, Boston, Massachusetts, 02115, USA.,Department of Neurology, Partners Multiple Sclerosis Center, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Howard L Weiner
- Harvard Medical School, Boston, Massachusetts, 02115, USA.,Ann Romney Center for Neurologic Disease, Harvard Medical School, Boston, Massachusetts, 02115, USA.,Department of Neurology, Partners Multiple Sclerosis Center, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Tanuja Chitnis
- Harvard Medical School, Boston, Massachusetts, 02115, USA.,Ann Romney Center for Neurologic Disease, Harvard Medical School, Boston, Massachusetts, 02115, USA.,Department of Neurology, Partners Multiple Sclerosis Center, Brigham and Women's Hospital, Boston, Massachusetts, USA
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Benatar M, Zhang L, Wang L, Granit V, Statland J, Barohn R, Swenson A, Ravits J, Jackson C, Burns TM, Trivedi J, Pioro EP, Caress J, Katz J, McCauley JL, Rademakers R, Malaspina A, Ostrow LW, Wuu J. Validation of serum neurofilaments as prognostic and potential pharmacodynamic biomarkers for ALS. Neurology 2020; 95:e59-e69. [PMID: 32385188 DOI: 10.1212/wnl.0000000000009559] [Citation(s) in RCA: 114] [Impact Index Per Article: 28.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2019] [Accepted: 12/10/2019] [Indexed: 01/08/2023] Open
Abstract
OBJECTIVE To identify preferred neurofilament assays and clinically validate serum neurofilament light (NfL) and phosphorylated neurofilament heavy (pNfH) as prognostic and potential pharmacodynamic biomarkers relevant to amyotrophic lateral sclerosis (ALS) therapy development. METHODS In this prospective, multicenter, longitudinal observational study of patients with ALS (n = 229), primary lateral sclerosis (n = 20), and progressive muscular atrophy (n = 11), biological specimens were collected, processed, and stored according to strict standard operating procedures (SOPs). Neurofilament assays were performed in a blinded manner by independent contract research organizations. RESULTS For serum NfL and pNfH measured using the Simoa assay, there were no missing data (i.e., technical replicates below the lower limit of detection were not encountered). For the Iron Horse and Euroimmun pNfH assays, such missingness was encountered in ∼4% and ∼10% of serum samples, respectively. Mean coefficients of variation for NfL in serum and CSF were both ∼3%. Mean coefficients of variation for pNfH in serum and CSF were ∼4%-5% and ∼2%-3%, respectively, in all assays. Baseline serum NfL concentration, but not pNfH, predicted the future Revised ALS Functional Rating Scale (ALSFRS-R) slope and survival. Incorporation of baseline serum NfL into mixed effects models of ALSFRS-R slopes yields an estimated sample size saving of ∼8%. Depending on the method used to estimate effect size, use of serum NfL (and perhaps pNfH) as pharmacodynamic biomarkers, instead of the ALSFRS-R slope, yields significantly larger sample size savings. CONCLUSIONS Serum NfL may be considered a clinically validated prognostic biomarker for ALS. Serum NfL (and perhaps pNfH), quantified using the Simoa assay, has potential utility as a pharmacodynamic biomarker of treatment effect.
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Affiliation(s)
- Michael Benatar
- From Miller School of Medicine (M.B., L.Z., L.W., V.G., J.W.), University of Miami, FL; Kansas University Medical Center (J.S., R.B.), Kansas City; University of Iowa (A.S.), Iowa City; University of California San Diego (J.R.); University of Texas Health Science Center San Antonio (C.J.); University of Virginia (T.M.B.), Charlottesville; UT Southwestern Medical Center (J.T.), Dallas, TX; Cleveland Clinic (E.P.P.), OH; Wake Forest School of Medicine (J.C.), Winston-Salem, NC; California Pacific Medical Center (J.K.), San Francisco; John P Hussman Institute for Human Genomics (J.L.M.), Miami; Mayo Clinic Jacksonville (R.R.), FL; Blizard Institute (A.M.), Queen Mary University of London, UK; and Johns Hopkins University (L.W.O.), Baltimore, MD.
| | - Lanyu Zhang
- From Miller School of Medicine (M.B., L.Z., L.W., V.G., J.W.), University of Miami, FL; Kansas University Medical Center (J.S., R.B.), Kansas City; University of Iowa (A.S.), Iowa City; University of California San Diego (J.R.); University of Texas Health Science Center San Antonio (C.J.); University of Virginia (T.M.B.), Charlottesville; UT Southwestern Medical Center (J.T.), Dallas, TX; Cleveland Clinic (E.P.P.), OH; Wake Forest School of Medicine (J.C.), Winston-Salem, NC; California Pacific Medical Center (J.K.), San Francisco; John P Hussman Institute for Human Genomics (J.L.M.), Miami; Mayo Clinic Jacksonville (R.R.), FL; Blizard Institute (A.M.), Queen Mary University of London, UK; and Johns Hopkins University (L.W.O.), Baltimore, MD
| | - Lily Wang
- From Miller School of Medicine (M.B., L.Z., L.W., V.G., J.W.), University of Miami, FL; Kansas University Medical Center (J.S., R.B.), Kansas City; University of Iowa (A.S.), Iowa City; University of California San Diego (J.R.); University of Texas Health Science Center San Antonio (C.J.); University of Virginia (T.M.B.), Charlottesville; UT Southwestern Medical Center (J.T.), Dallas, TX; Cleveland Clinic (E.P.P.), OH; Wake Forest School of Medicine (J.C.), Winston-Salem, NC; California Pacific Medical Center (J.K.), San Francisco; John P Hussman Institute for Human Genomics (J.L.M.), Miami; Mayo Clinic Jacksonville (R.R.), FL; Blizard Institute (A.M.), Queen Mary University of London, UK; and Johns Hopkins University (L.W.O.), Baltimore, MD
| | - Volkan Granit
- From Miller School of Medicine (M.B., L.Z., L.W., V.G., J.W.), University of Miami, FL; Kansas University Medical Center (J.S., R.B.), Kansas City; University of Iowa (A.S.), Iowa City; University of California San Diego (J.R.); University of Texas Health Science Center San Antonio (C.J.); University of Virginia (T.M.B.), Charlottesville; UT Southwestern Medical Center (J.T.), Dallas, TX; Cleveland Clinic (E.P.P.), OH; Wake Forest School of Medicine (J.C.), Winston-Salem, NC; California Pacific Medical Center (J.K.), San Francisco; John P Hussman Institute for Human Genomics (J.L.M.), Miami; Mayo Clinic Jacksonville (R.R.), FL; Blizard Institute (A.M.), Queen Mary University of London, UK; and Johns Hopkins University (L.W.O.), Baltimore, MD
| | - Jeffrey Statland
- From Miller School of Medicine (M.B., L.Z., L.W., V.G., J.W.), University of Miami, FL; Kansas University Medical Center (J.S., R.B.), Kansas City; University of Iowa (A.S.), Iowa City; University of California San Diego (J.R.); University of Texas Health Science Center San Antonio (C.J.); University of Virginia (T.M.B.), Charlottesville; UT Southwestern Medical Center (J.T.), Dallas, TX; Cleveland Clinic (E.P.P.), OH; Wake Forest School of Medicine (J.C.), Winston-Salem, NC; California Pacific Medical Center (J.K.), San Francisco; John P Hussman Institute for Human Genomics (J.L.M.), Miami; Mayo Clinic Jacksonville (R.R.), FL; Blizard Institute (A.M.), Queen Mary University of London, UK; and Johns Hopkins University (L.W.O.), Baltimore, MD
| | - Richard Barohn
- From Miller School of Medicine (M.B., L.Z., L.W., V.G., J.W.), University of Miami, FL; Kansas University Medical Center (J.S., R.B.), Kansas City; University of Iowa (A.S.), Iowa City; University of California San Diego (J.R.); University of Texas Health Science Center San Antonio (C.J.); University of Virginia (T.M.B.), Charlottesville; UT Southwestern Medical Center (J.T.), Dallas, TX; Cleveland Clinic (E.P.P.), OH; Wake Forest School of Medicine (J.C.), Winston-Salem, NC; California Pacific Medical Center (J.K.), San Francisco; John P Hussman Institute for Human Genomics (J.L.M.), Miami; Mayo Clinic Jacksonville (R.R.), FL; Blizard Institute (A.M.), Queen Mary University of London, UK; and Johns Hopkins University (L.W.O.), Baltimore, MD
| | - Andrea Swenson
- From Miller School of Medicine (M.B., L.Z., L.W., V.G., J.W.), University of Miami, FL; Kansas University Medical Center (J.S., R.B.), Kansas City; University of Iowa (A.S.), Iowa City; University of California San Diego (J.R.); University of Texas Health Science Center San Antonio (C.J.); University of Virginia (T.M.B.), Charlottesville; UT Southwestern Medical Center (J.T.), Dallas, TX; Cleveland Clinic (E.P.P.), OH; Wake Forest School of Medicine (J.C.), Winston-Salem, NC; California Pacific Medical Center (J.K.), San Francisco; John P Hussman Institute for Human Genomics (J.L.M.), Miami; Mayo Clinic Jacksonville (R.R.), FL; Blizard Institute (A.M.), Queen Mary University of London, UK; and Johns Hopkins University (L.W.O.), Baltimore, MD
| | - John Ravits
- From Miller School of Medicine (M.B., L.Z., L.W., V.G., J.W.), University of Miami, FL; Kansas University Medical Center (J.S., R.B.), Kansas City; University of Iowa (A.S.), Iowa City; University of California San Diego (J.R.); University of Texas Health Science Center San Antonio (C.J.); University of Virginia (T.M.B.), Charlottesville; UT Southwestern Medical Center (J.T.), Dallas, TX; Cleveland Clinic (E.P.P.), OH; Wake Forest School of Medicine (J.C.), Winston-Salem, NC; California Pacific Medical Center (J.K.), San Francisco; John P Hussman Institute for Human Genomics (J.L.M.), Miami; Mayo Clinic Jacksonville (R.R.), FL; Blizard Institute (A.M.), Queen Mary University of London, UK; and Johns Hopkins University (L.W.O.), Baltimore, MD
| | - Carlayne Jackson
- From Miller School of Medicine (M.B., L.Z., L.W., V.G., J.W.), University of Miami, FL; Kansas University Medical Center (J.S., R.B.), Kansas City; University of Iowa (A.S.), Iowa City; University of California San Diego (J.R.); University of Texas Health Science Center San Antonio (C.J.); University of Virginia (T.M.B.), Charlottesville; UT Southwestern Medical Center (J.T.), Dallas, TX; Cleveland Clinic (E.P.P.), OH; Wake Forest School of Medicine (J.C.), Winston-Salem, NC; California Pacific Medical Center (J.K.), San Francisco; John P Hussman Institute for Human Genomics (J.L.M.), Miami; Mayo Clinic Jacksonville (R.R.), FL; Blizard Institute (A.M.), Queen Mary University of London, UK; and Johns Hopkins University (L.W.O.), Baltimore, MD
| | - Ted M Burns
- From Miller School of Medicine (M.B., L.Z., L.W., V.G., J.W.), University of Miami, FL; Kansas University Medical Center (J.S., R.B.), Kansas City; University of Iowa (A.S.), Iowa City; University of California San Diego (J.R.); University of Texas Health Science Center San Antonio (C.J.); University of Virginia (T.M.B.), Charlottesville; UT Southwestern Medical Center (J.T.), Dallas, TX; Cleveland Clinic (E.P.P.), OH; Wake Forest School of Medicine (J.C.), Winston-Salem, NC; California Pacific Medical Center (J.K.), San Francisco; John P Hussman Institute for Human Genomics (J.L.M.), Miami; Mayo Clinic Jacksonville (R.R.), FL; Blizard Institute (A.M.), Queen Mary University of London, UK; and Johns Hopkins University (L.W.O.), Baltimore, MD
| | - Jaya Trivedi
- From Miller School of Medicine (M.B., L.Z., L.W., V.G., J.W.), University of Miami, FL; Kansas University Medical Center (J.S., R.B.), Kansas City; University of Iowa (A.S.), Iowa City; University of California San Diego (J.R.); University of Texas Health Science Center San Antonio (C.J.); University of Virginia (T.M.B.), Charlottesville; UT Southwestern Medical Center (J.T.), Dallas, TX; Cleveland Clinic (E.P.P.), OH; Wake Forest School of Medicine (J.C.), Winston-Salem, NC; California Pacific Medical Center (J.K.), San Francisco; John P Hussman Institute for Human Genomics (J.L.M.), Miami; Mayo Clinic Jacksonville (R.R.), FL; Blizard Institute (A.M.), Queen Mary University of London, UK; and Johns Hopkins University (L.W.O.), Baltimore, MD
| | - Erik P Pioro
- From Miller School of Medicine (M.B., L.Z., L.W., V.G., J.W.), University of Miami, FL; Kansas University Medical Center (J.S., R.B.), Kansas City; University of Iowa (A.S.), Iowa City; University of California San Diego (J.R.); University of Texas Health Science Center San Antonio (C.J.); University of Virginia (T.M.B.), Charlottesville; UT Southwestern Medical Center (J.T.), Dallas, TX; Cleveland Clinic (E.P.P.), OH; Wake Forest School of Medicine (J.C.), Winston-Salem, NC; California Pacific Medical Center (J.K.), San Francisco; John P Hussman Institute for Human Genomics (J.L.M.), Miami; Mayo Clinic Jacksonville (R.R.), FL; Blizard Institute (A.M.), Queen Mary University of London, UK; and Johns Hopkins University (L.W.O.), Baltimore, MD
| | - James Caress
- From Miller School of Medicine (M.B., L.Z., L.W., V.G., J.W.), University of Miami, FL; Kansas University Medical Center (J.S., R.B.), Kansas City; University of Iowa (A.S.), Iowa City; University of California San Diego (J.R.); University of Texas Health Science Center San Antonio (C.J.); University of Virginia (T.M.B.), Charlottesville; UT Southwestern Medical Center (J.T.), Dallas, TX; Cleveland Clinic (E.P.P.), OH; Wake Forest School of Medicine (J.C.), Winston-Salem, NC; California Pacific Medical Center (J.K.), San Francisco; John P Hussman Institute for Human Genomics (J.L.M.), Miami; Mayo Clinic Jacksonville (R.R.), FL; Blizard Institute (A.M.), Queen Mary University of London, UK; and Johns Hopkins University (L.W.O.), Baltimore, MD
| | - Jonathan Katz
- From Miller School of Medicine (M.B., L.Z., L.W., V.G., J.W.), University of Miami, FL; Kansas University Medical Center (J.S., R.B.), Kansas City; University of Iowa (A.S.), Iowa City; University of California San Diego (J.R.); University of Texas Health Science Center San Antonio (C.J.); University of Virginia (T.M.B.), Charlottesville; UT Southwestern Medical Center (J.T.), Dallas, TX; Cleveland Clinic (E.P.P.), OH; Wake Forest School of Medicine (J.C.), Winston-Salem, NC; California Pacific Medical Center (J.K.), San Francisco; John P Hussman Institute for Human Genomics (J.L.M.), Miami; Mayo Clinic Jacksonville (R.R.), FL; Blizard Institute (A.M.), Queen Mary University of London, UK; and Johns Hopkins University (L.W.O.), Baltimore, MD
| | - Jacob L McCauley
- From Miller School of Medicine (M.B., L.Z., L.W., V.G., J.W.), University of Miami, FL; Kansas University Medical Center (J.S., R.B.), Kansas City; University of Iowa (A.S.), Iowa City; University of California San Diego (J.R.); University of Texas Health Science Center San Antonio (C.J.); University of Virginia (T.M.B.), Charlottesville; UT Southwestern Medical Center (J.T.), Dallas, TX; Cleveland Clinic (E.P.P.), OH; Wake Forest School of Medicine (J.C.), Winston-Salem, NC; California Pacific Medical Center (J.K.), San Francisco; John P Hussman Institute for Human Genomics (J.L.M.), Miami; Mayo Clinic Jacksonville (R.R.), FL; Blizard Institute (A.M.), Queen Mary University of London, UK; and Johns Hopkins University (L.W.O.), Baltimore, MD
| | - Rosa Rademakers
- From Miller School of Medicine (M.B., L.Z., L.W., V.G., J.W.), University of Miami, FL; Kansas University Medical Center (J.S., R.B.), Kansas City; University of Iowa (A.S.), Iowa City; University of California San Diego (J.R.); University of Texas Health Science Center San Antonio (C.J.); University of Virginia (T.M.B.), Charlottesville; UT Southwestern Medical Center (J.T.), Dallas, TX; Cleveland Clinic (E.P.P.), OH; Wake Forest School of Medicine (J.C.), Winston-Salem, NC; California Pacific Medical Center (J.K.), San Francisco; John P Hussman Institute for Human Genomics (J.L.M.), Miami; Mayo Clinic Jacksonville (R.R.), FL; Blizard Institute (A.M.), Queen Mary University of London, UK; and Johns Hopkins University (L.W.O.), Baltimore, MD
| | - Andrea Malaspina
- From Miller School of Medicine (M.B., L.Z., L.W., V.G., J.W.), University of Miami, FL; Kansas University Medical Center (J.S., R.B.), Kansas City; University of Iowa (A.S.), Iowa City; University of California San Diego (J.R.); University of Texas Health Science Center San Antonio (C.J.); University of Virginia (T.M.B.), Charlottesville; UT Southwestern Medical Center (J.T.), Dallas, TX; Cleveland Clinic (E.P.P.), OH; Wake Forest School of Medicine (J.C.), Winston-Salem, NC; California Pacific Medical Center (J.K.), San Francisco; John P Hussman Institute for Human Genomics (J.L.M.), Miami; Mayo Clinic Jacksonville (R.R.), FL; Blizard Institute (A.M.), Queen Mary University of London, UK; and Johns Hopkins University (L.W.O.), Baltimore, MD
| | - Lyle W Ostrow
- From Miller School of Medicine (M.B., L.Z., L.W., V.G., J.W.), University of Miami, FL; Kansas University Medical Center (J.S., R.B.), Kansas City; University of Iowa (A.S.), Iowa City; University of California San Diego (J.R.); University of Texas Health Science Center San Antonio (C.J.); University of Virginia (T.M.B.), Charlottesville; UT Southwestern Medical Center (J.T.), Dallas, TX; Cleveland Clinic (E.P.P.), OH; Wake Forest School of Medicine (J.C.), Winston-Salem, NC; California Pacific Medical Center (J.K.), San Francisco; John P Hussman Institute for Human Genomics (J.L.M.), Miami; Mayo Clinic Jacksonville (R.R.), FL; Blizard Institute (A.M.), Queen Mary University of London, UK; and Johns Hopkins University (L.W.O.), Baltimore, MD
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36
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S1 guidelines "lumbar puncture and cerebrospinal fluid analysis" (abridged and translated version). Neurol Res Pract 2020; 2:8. [PMID: 33324914 PMCID: PMC7650145 DOI: 10.1186/s42466-020-0051-z] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2019] [Accepted: 02/03/2020] [Indexed: 12/12/2022] Open
Abstract
Introduction Cerebrospinal fluid (CSF) analysis is important for detecting inflammation of the nervous system and the meninges, bleeding in the area of the subarachnoid space that may not be visualized by imaging, and the spread of malignant diseases to the CSF space. In the diagnosis and differential diagnosis of neurodegenerative diseases, the importance of CSF analysis is increasing. Measuring the opening pressure of CSF in idiopathic intracranial hypertension and at spinal tap in normal pressure hydrocephalus constitute diagnostic examination procedures with therapeutic benefits.Recommendations (most important 3-5 recommendations on a glimpse): The indications and contraindications must be checked before lumbar puncture (LP) is performed, and sampling CSF requires the consent of the patient.Puncture with an atraumatic needle is associated with a lower incidence of postpuncture discomfort. The frequency of postpuncture syndrome correlates inversely with age and body mass index, and it is more common in women and patients with a history of headache. The sharp needle is preferably used in older or obese patients, also in punctures expected to be difficult.In order to avoid repeating LP, a sufficient quantity of CSF (at least 10 ml) should be collected. The CSF sample and the serum sample taken at the same time should be sent to a specialized laboratory immediately so that the emergency and basic CSF analysis program can be carried out within 2 h.The indication for LP in anticoagulant therapy should always be decided on an individual basis. The risk of interrupting anticoagulant therapy must be weighed against the increased bleeding risk of LP with anticoagulant therapy.As a quality assurance measure in CSF analysis, it is recommended that all cytological, clinical-chemical, and microbiological findings are combined in an integrated summary report and evaluated by an expert in CSF analysis. Conclusions In view of the importance and developments in CSF analysis, the S1 guideline "Lumbar puncture and cerebrospinal fluid analysis" was recently prepared by the German Society for CSF analysis and clinical neurochemistry (DGLN) and published in German in accordance with the guidelines of the AWMF (https://www.awmf.org). /uploads/tx_szleitlinien/030-141l_S1_Lumbalpunktion_und_Liquordiagnostik_2019-08.pdf). The present article is an abridged translation of the above cited guideline. The guideline has been jointly edited by the DGLN and DGN.
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Lambertsen KL, Soares CB, Gaist D, Nielsen HH. Neurofilaments: The C-Reactive Protein of Neurology. Brain Sci 2020; 10:brainsci10010056. [PMID: 31963750 PMCID: PMC7016784 DOI: 10.3390/brainsci10010056] [Citation(s) in RCA: 42] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2019] [Revised: 01/14/2020] [Accepted: 01/16/2020] [Indexed: 12/12/2022] Open
Abstract
Neurofilaments (NFs) are quickly becoming the biomarkers of choice in the field of neurology, suggesting their use as an unspecific screening marker, much like the use of elevated plasma C-reactive protein (CRP) in other fields. With sensitive techniques being readily available, evidence is growing regarding the diagnostic and prognostic value of NFs in many neurological disorders. Here, we review the latest literature on the structure and function of NFs and report the strengths and pitfalls of NFs as markers of neurodegeneration in the context of neurological diseases of the central and peripheral nervous systems.
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Affiliation(s)
- Kate L. Lambertsen
- Department of Neurology, Odense University Hospital, J.B. Winsloewsvej 4, 5000 Odense C, Denmark; (K.L.L.); (C.B.S.); (D.G.)
- Department of Neurobiology Research, Institute of Molecular Medicine, University of Southern Denmark, J.B. Winsloewsvej 21, st, 5000 Odense C, Denmark
- BRIDGE—Brain Research—Inter Disciplinary Guided Excellence, Department of Clinical Research, University of Southern Denmark, J.B. Winsloewsvej 19, 3. sal, 5000 Odense C, Denmark
| | - Catarina B. Soares
- Department of Neurology, Odense University Hospital, J.B. Winsloewsvej 4, 5000 Odense C, Denmark; (K.L.L.); (C.B.S.); (D.G.)
- Department of Neurobiology Research, Institute of Molecular Medicine, University of Southern Denmark, J.B. Winsloewsvej 21, st, 5000 Odense C, Denmark
| | - David Gaist
- Department of Neurology, Odense University Hospital, J.B. Winsloewsvej 4, 5000 Odense C, Denmark; (K.L.L.); (C.B.S.); (D.G.)
- BRIDGE—Brain Research—Inter Disciplinary Guided Excellence, Department of Clinical Research, University of Southern Denmark, J.B. Winsloewsvej 19, 3. sal, 5000 Odense C, Denmark
- Department of Clinical Research, Neurology Research Unit, Faculty of Health Sciences, University of Southern Denmark, Campusvej 55, 5230 Odense, Denmark
| | - Helle H. Nielsen
- Department of Neurology, Odense University Hospital, J.B. Winsloewsvej 4, 5000 Odense C, Denmark; (K.L.L.); (C.B.S.); (D.G.)
- Department of Neurobiology Research, Institute of Molecular Medicine, University of Southern Denmark, J.B. Winsloewsvej 21, st, 5000 Odense C, Denmark
- BRIDGE—Brain Research—Inter Disciplinary Guided Excellence, Department of Clinical Research, University of Southern Denmark, J.B. Winsloewsvej 19, 3. sal, 5000 Odense C, Denmark
- Department of Clinical Research, Neurology Research Unit, Faculty of Health Sciences, University of Southern Denmark, Campusvej 55, 5230 Odense, Denmark
- Correspondence:
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Alirezaei Z, Pourhanifeh MH, Borran S, Nejati M, Mirzaei H, Hamblin MR. Neurofilament Light Chain as a Biomarker, and Correlation with Magnetic Resonance Imaging in Diagnosis of CNS-Related Disorders. Mol Neurobiol 2020; 57:469-491. [PMID: 31385229 PMCID: PMC6980520 DOI: 10.1007/s12035-019-01698-3] [Citation(s) in RCA: 44] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2019] [Accepted: 07/09/2019] [Indexed: 12/11/2022]
Abstract
The search for diagnostic and prognostic biomarkers for neurodegenerative conditions is of high importance, since these disorders may present difficulties in differential diagnosis. Biomarkers with high sensitivity and specificity are required. Neurofilament light chain (NfL) is a unique biomarker related to axonal damage and neural cell death, which is elevated in a number of neurological disorders, and can be detected in cerebrospinal fluid (CSF), as well as blood, serum, or plasma samples. Although the NfL concentration in CSF is higher than that in blood, blood measurement may be easier in practice due to its lesser invasiveness, reproducibility, and convenience. Many studies have investigated NfL in both CSF and serum/plasma as a potential biomarker of neurodegenerative disorders. Neuroimaging biomarkers can also potentially improve detection of CNS-related disorders at an early stage. Magnetic resonance imaging (MRI) and diffusion tensor imaging (DTI) are sensitive techniques to visualize neuroaxonal loss. Therefore, investigating the combination of NfL levels with indices extracted from MRI and DTI scans could potentially improve diagnosis of CNS-related disorders. This review summarizes the evidence for NfL being a reliable biomarker in the early detection and disease management in several CNS-related disorders. Moreover, we highlight the correlation between MRI and NfL and ask whether they can be combined.
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Affiliation(s)
- Zahra Alirezaei
- Department of Medical Physics, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Mohammad Hossein Pourhanifeh
- Research Center for Biochemistry and Nutrition in Metabolic Diseases, Kashan University of Medical Sciences, Kashan, Islamic Republic of Iran
| | - Sarina Borran
- School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Majid Nejati
- Anatomical Sciences Research Center, Kashan University of Medical Sciences, Kashan, Iran
| | - Hamed Mirzaei
- Research Center for Biochemistry and Nutrition in Metabolic Diseases, Kashan University of Medical Sciences, Kashan, Islamic Republic of Iran.
| | - Michael R Hamblin
- Wellman Center for Photomedicine, Massachusetts General Hospital, Harvard Medical School, 40 Blossom Street, Boston, MA, 02114, USA.
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Forgrave LM, Ma M, Best JR, DeMarco ML. The diagnostic performance of neurofilament light chain in CSF and blood for Alzheimer's disease, frontotemporal dementia, and amyotrophic lateral sclerosis: A systematic review and meta-analysis. ALZHEIMER'S & DEMENTIA: DIAGNOSIS, ASSESSMENT & DISEASE MONITORING 2019; 11:730-743. [PMID: 31909174 PMCID: PMC6939029 DOI: 10.1016/j.dadm.2019.08.009] [Citation(s) in RCA: 91] [Impact Index Per Article: 18.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Introduction A systematic review and meta-analysis was performed regarding the diagnostic performance of neurofilament light chain (NfL) in CSF and blood. Methods A database search was conducted for NfL biomarker studies in the context of Alzheimer's disease (AD), frontotemporal dementia (FTD), and amyotrophic lateral sclerosis (ALS) compared with controls (i.e., cognitively unimpaired, mild cognitive impairment, or disease mimics). Results In groups with a sufficient number of studies, the performance of NfL in blood and CSF was similar. Compared with disease mimics, we observed that CSF NfL had strong discriminatory power for ALS, modest discriminatory power for FTD, and no discriminatory power for AD. NfL provided the greatest separation between ALS and cognitively unimpaired controls in both the blood and CSF, followed by FTD (CSF and blood), then AD (blood and CSF). Discussion Comparable performance of CSF and blood NfL in many groups demonstrates the promise of NfL as a noninvasive biomarker of neurodegeneration; however, its utility in clinically meaningful scenarios requires greater scrutiny. Toward clinical implementation, a more comprehensive understanding of NfL concentrations in disease subtypes with overlapping phenotypes and at defined stages of disease, and the development of a harmonization program, are warranted.
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Affiliation(s)
- Lauren M Forgrave
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, Canada
| | - Matthew Ma
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, Canada
| | - John R Best
- Department of Psychiatry, University of British Columbia, Vancouver, Canada
| | - Mari L DeMarco
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, Canada.,Department of Pathology and Laboratory Medicine, St. Paul's Hospital, Providence Health Care, Vancouver, Canada
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Wurster CD, Steinacker P, Günther R, Koch JC, Lingor P, Uzelac Z, Witzel S, Wollinsky K, Winter B, Osmanovic A, Schreiber-Katz O, Al Shweiki R, Ludolph AC, Petri S, Hermann A, Otto M. Neurofilament light chain in serum of adolescent and adult SMA patients under treatment with nusinersen. J Neurol 2019; 267:36-44. [PMID: 31552549 DOI: 10.1007/s00415-019-09547-y] [Citation(s) in RCA: 45] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2019] [Revised: 09/13/2019] [Accepted: 09/16/2019] [Indexed: 12/12/2022]
Abstract
OBJECTIVE To determine the diagnostic and monitoring value of serum neurofilament light chain (NfL) in spinal muscular atrophy (SMA). METHODS We measured serum NfL in 46 SMA patients at baseline and over 14 months of treatment with the antisense-oligonucleotide (ASO) nusinersen using the ultrasensitive single molecule array (Simoa) technology. Serum NfL levels of SMA patients were compared to controls and related to cerebrospinal fluid (CSF) NfL, blood-CSF barrier function quantified by the albumin blood/CSF ratio (Qalb) and motor scores (Hammersmith Functional Motor Scale Expanded, HFMSE; Amyotrophic Lateral Sclerosis Functional Rating Scale-Revised, ALSFRS-R). RESULTS Serum NfL levels of SMA patients were in the range of controls (p = 0.316) and did not correlate with CSF NfL (ρ = 0.302, p = 0.142) or Qalb (ρ = - 0.160, p = 0.293). During therapy, serum NfL levels were relatively stable with notable concentration changes in single SMA patients, however, within the control range. Higher NfL levels were associated with worse motor performance in SMA (baseline: HFMSE ρ = - 0.330, p = 0.025, ALSFRS-R ρ = - 0.403, p = 0.005; after 10 months: HFMSE ρ = - 0.525, p = 0.008, ALSFRS-R ρ = - 0.537, p = 0.007), but changes in motor scores did not correlate with changes in serum NfL. CONCLUSION Diagnostic and monitoring performance of serum NfL measurement seems to differ between SMA subtypes. Unlike to SMA type 1, in adolescent and adult SMA type 2 and 3 patients, neurodegeneration is not reflected by increased NfL levels and short-term therapeutic effects cannot be observed. Long-term follow-up has to be performed to see if even low levels of NfL might be good prognostic markers.
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Affiliation(s)
- Claudia D Wurster
- Department of Neurology, Ulm University, Oberer Eselsberg 45, 89081, Ulm, Germany.
| | - Petra Steinacker
- Department of Neurology, Ulm University, Oberer Eselsberg 45, 89081, Ulm, Germany
| | - René Günther
- Department of Neurology, Technische Universität Dresden, Dresden, Germany
- German Center for Neurodegenerative Diseases (DZNE) Dresden, Dresden, Germany
| | - Jan C Koch
- Department of Neurology, University Medicine Göttingen, Göttingen, Germany
| | - Paul Lingor
- Department of Neurology, Klinikum Rechts Der Isar der Technischen Universität München, Munich, Germany
| | - Zeljko Uzelac
- Department of Neurology, Ulm University, Oberer Eselsberg 45, 89081, Ulm, Germany
| | - Simon Witzel
- Department of Neurology, Ulm University, Oberer Eselsberg 45, 89081, Ulm, Germany
| | - Kurt Wollinsky
- Department of Anesthesiology, RKU, University and Rehabilitation Clinics, Ulm University, Ulm, Germany
| | | | - Alma Osmanovic
- Department of Neurology, Hannover Medical School, Hannover, Germany
| | | | - Rami Al Shweiki
- Department of Neurology, Ulm University, Oberer Eselsberg 45, 89081, Ulm, Germany
| | - Albert C Ludolph
- Department of Neurology, Ulm University, Oberer Eselsberg 45, 89081, Ulm, Germany
- German Center for Neurodegenerative Diseases (DZNE) Ulm, Ulm, Germany
| | - Susanne Petri
- Department of Neurology, Hannover Medical School, Hannover, Germany
| | - Andreas Hermann
- Translational Neurodegeneration Section "Albrecht-Kossel", Department of Neurology, University Medical Center Rostock, University of Rostock, Rostock, Germany
- German Center for Neurodegenerative Diseases (DZNE) Rostock, Rostock, Germany
| | - Markus Otto
- Department of Neurology, Ulm University, Oberer Eselsberg 45, 89081, Ulm, Germany
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Gaetani L, Blennow K, Calabresi P, Di Filippo M, Parnetti L, Zetterberg H. Neurofilament light chain as a biomarker in neurological disorders. J Neurol Neurosurg Psychiatry 2019; 90:870-881. [PMID: 30967444 DOI: 10.1136/jnnp-2018-320106] [Citation(s) in RCA: 600] [Impact Index Per Article: 120.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/30/2018] [Revised: 02/18/2019] [Accepted: 02/19/2019] [Indexed: 12/12/2022]
Abstract
In the management of neurological diseases, the identification and quantification of axonal damage could allow for the improvement of diagnostic accuracy and prognostic assessment. Neurofilament light chain (NfL) is a neuronal cytoplasmic protein highly expressed in large calibre myelinated axons. Its levels increase in cerebrospinal fluid (CSF) and blood proportionally to the degree of axonal damage in a variety of neurological disorders, including inflammatory, neurodegenerative, traumatic and cerebrovascular diseases. New immunoassays able to detect biomarkers at ultralow levels have allowed for the measurement of NfL in blood, thus making it possible to easily and repeatedly measure NfL for monitoring diseases' courses. Evidence that both CSF and blood NfL may serve as diagnostic, prognostic and monitoring biomarkers in neurological diseases is progressively increasing, and NfL is one of the most promising biomarkers to be used in clinical and research setting in the next future. Here we review the most important results on CSF and blood NfL and we discuss its potential applications and future directions.
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Affiliation(s)
- Lorenzo Gaetani
- Section of Neurology, Department of Medicine, University of Perugia, Perugia, Italy
| | - Kaj Blennow
- Institute of Neuroscience and Physiology Department of Psychiatry and Neurochemistry, The Sahlgrenska AcademyUniversity of Gothenburg, Mölndal, Sweden.,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Paolo Calabresi
- Section of Neurology, Department of Medicine, University of Perugia, Perugia, Italy.,Laboratory of Neurophysiology, IRCCS Fondazione Santa Lucia, Rome, Italy
| | | | - Lucilla Parnetti
- Section of Neurology, Department of Medicine, University of Perugia, Perugia, Italy
| | - Henrik Zetterberg
- Institute of Neuroscience and Physiology Department of Psychiatry and Neurochemistry, The Sahlgrenska AcademyUniversity of Gothenburg, Mölndal, Sweden.,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden.,Department of Molecular Neuroscience, UCL Institute of Neurology Queen Square, London, UK.,UK Dementia Research Institute at UCL, London, United Kingdom
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Zucchi E, Lu CH, Cho Y, Chang R, Adiutori R, Zubiri I, Ceroni M, Cereda C, Pansarasa O, Greensmith L, Malaspina A, Petzold A. A motor neuron strategy to save time and energy in neurodegeneration: adaptive protein stoichiometry. J Neurochem 2019; 146:631-641. [PMID: 29959860 PMCID: PMC6175430 DOI: 10.1111/jnc.14542] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2017] [Revised: 06/07/2018] [Accepted: 06/21/2018] [Indexed: 01/01/2023]
Abstract
Neurofilament proteins (Nf) are a biomarker of disease progression in amyotrophic lateral sclerosis (ALS). This study investigated whether there are major differences in expression from in vivo measurements of neurofilament isoforms, from the light chain, NfL (68 kDa), compared with larger proteins, the medium chain (NfM, 150 kDa) and the heavy (NfH, 200‐210 kDa) chains in ALS patients and healthy controls. New immunological methods were combined with Nf subunit stoichiometry calculations and Monte Carlo simulations of a coarse‐grained Nf brush model. Based on a physiological Nf subunit stoichiometry of 7 : 3 : 2 (NfL:NfM:NfH), we found an ‘adaptive’ Nf subunit stoichiometry of 24 : 2.4 : 1.6 in ALS. Adaptive Nf stoichiometry preserved NfL gyration radius in the Nf brush model. The energy and time requirements for Nf translation were 56 ± 27k ATP (5.6 h) in control subjects compared to 123 ± 102k (12.3 h) in ALS with ‘adaptive’ (24:2.4:1.6) Nf stoichiometry (not significant) and increased significantly to 355 ± 330k (35.5 h) with ‘luxury’ (7:3:2) Nf subunit stoichiometry (p < 0.0001 for each comparison). Longitudinal disease progression‐related energy consumption was highest with a ‘luxury’ (7:3:2) Nf stoichiometry. Therefore, an energy and time‐saving option for motor neurons is to shift protein expression from larger to smaller (cheaper) subunits, at little or no costs on a protein structural level, to compensate for increased energy demands. ![]()
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Affiliation(s)
- Elisabetta Zucchi
- Centre for Neuroscience and Trauma, Blizard Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK.,Center of Genomic and post-Genomic, IRCCS Mondino Foundation, Pavia, Italy
| | - Ching-Hua Lu
- Centre for Neuroscience and Trauma, Blizard Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK.,Department of Neurology, China Medical University Hospital, Taichung City, Taiwan
| | - Yunju Cho
- Department of Chemistry, Kwangwoon University, Seoul, Korea
| | - Rakwoo Chang
- Department of Chemistry, Kwangwoon University, Seoul, Korea
| | - Rocco Adiutori
- Centre for Neuroscience and Trauma, Blizard Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Irene Zubiri
- Centre for Neuroscience and Trauma, Blizard Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Mauro Ceroni
- Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy.,General Neurology Unit, IRCCS Mondino Foundation, Pavia, Italy
| | - Cristina Cereda
- Center of Genomic and post-Genomic, IRCCS Mondino Foundation, Pavia, Italy
| | - Orietta Pansarasa
- Center of Genomic and post-Genomic, IRCCS Mondino Foundation, Pavia, Italy
| | - Linda Greensmith
- Sobell Department of Motor Neuroscience and Movement Disorders, MRC Centre for Neuromuscular Diseases, UCL Institute of Neurology, University College London, London, UK
| | - Andrea Malaspina
- Centre for Neuroscience and Trauma, Blizard Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Axel Petzold
- Department of Neuromuscular Diseases, MRC Centre for Neuromuscular Diseases, Queen Square, London, UK.,The National Hospital for Neurology and Neurosurgery, Queen Square, London, UK.,Moorfields Eye Hospital, London, UK.,Amsterdam UMC, Departments of Neurology and Ophthalmology, De Boelelaan, Amsterdam, NL
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Chipika RH, Finegan E, Li Hi Shing S, Hardiman O, Bede P. Tracking a Fast-Moving Disease: Longitudinal Markers, Monitoring, and Clinical Trial Endpoints in ALS. Front Neurol 2019; 10:229. [PMID: 30941088 PMCID: PMC6433752 DOI: 10.3389/fneur.2019.00229] [Citation(s) in RCA: 57] [Impact Index Per Article: 11.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2018] [Accepted: 02/22/2019] [Indexed: 12/13/2022] Open
Abstract
Amyotrophic lateral sclerosis (ALS) encompasses a heterogeneous group of phenotypes with different progression rates, varying degree of extra-motor involvement and divergent progression patterns. The natural history of ALS is increasingly evaluated by large, multi-time point longitudinal studies, many of which now incorporate presymptomatic and post-mortem assessments. These studies not only have the potential to characterize patterns of anatomical propagation, molecular mechanisms of disease spread, but also to identify pragmatic monitoring markers. Sensitive markers of progressive neurodegenerative change are indispensable for clinical trials and individualized patient care. Biofluid markers, neuroimaging indices, electrophysiological markers, rating scales, questionnaires, and other disease-specific instruments have divergent sensitivity profiles. The discussion of candidate monitoring markers in ALS has a dual academic and clinical relevance, and is particularly timely given the increasing number of pharmacological trials. The objective of this paper is to provide a comprehensive and critical review of longitudinal studies in ALS, focusing on the sensitivity profile of established and emerging monitoring markers.
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Affiliation(s)
| | - Eoin Finegan
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland
| | - Stacey Li Hi Shing
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland
| | - Orla Hardiman
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland
| | - Peter Bede
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland
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Verde F, Steinacker P, Weishaupt JH, Kassubek J, Oeckl P, Halbgebauer S, Tumani H, von Arnim CAF, Dorst J, Feneberg E, Mayer B, Müller HP, Gorges M, Rosenbohm A, Volk AE, Silani V, Ludolph AC, Otto M. Neurofilament light chain in serum for the diagnosis of amyotrophic lateral sclerosis. J Neurol Neurosurg Psychiatry 2019; 90:157-164. [PMID: 30309882 DOI: 10.1136/jnnp-2018-318704] [Citation(s) in RCA: 156] [Impact Index Per Article: 31.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/25/2018] [Revised: 07/03/2018] [Accepted: 07/24/2018] [Indexed: 11/03/2022]
Abstract
OBJECTIVE To determine the diagnostic and prognostic performance of serum neurofilament light chain (NFL) in amyotrophic lateral sclerosis (ALS). METHODS This single-centre, prospective, longitudinal study included the following patients: 124 patients with ALS; 50 patients without neurodegenerative diseases; 44 patients with conditions included in the differential diagnosis of ALS (disease controls); 65 patients with other neurodegenerative diseases (20 with frontotemporal dementia, 20 with Alzheimer's disease, 19 with Parkinson's disease, 6 with Creutzfeldt-Jakob disease (CJD)). Serum NFL levels were measured using the ultrasensitive single molecule array (Simoa) technology. RESULTS Serum NFL levels were higher in ALS in comparison to all other categories except for CJD. A cut-off level of 62 pg/mL discriminated between ALS and all other conditions with 85.5% sensitivity (95% CI 78% to 91.2%) and 81.8% specificity (95% CI 74.9% to 87.4%). Among patients with ALS, serum NFL correlated positively with disease progression rate (rs=0.336, 95% CI 0.14 to 0.506, p=0.0008), and higher levels were associated with shorter survival (p=0.0054). Serum NFL did not differ among patients in different ALS pathological stages as evaluated by diffusion-tensor imaging, and in single patients NFL levels were stable over time. CONCLUSIONS Serum NFL is increased in ALS in comparison to other conditions and can serve as diagnostic and prognostic biomarker. We established a cut-off level for the diagnosis of ALS.
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Affiliation(s)
- Federico Verde
- Department of Neurology, University of Ulm, Ulm, Germany.,Department of Neurology and Laboratory of Neuroscience, IRCCS Istituto Auxologico Italiano, and Department of Pathophysiology and Transplantation, 'Dino Ferrari' Center, Università degli Studi di Milano, Milan, Italy
| | | | | | - Jan Kassubek
- Department of Neurology, University of Ulm, Ulm, Germany
| | - Patrick Oeckl
- Department of Neurology, University of Ulm, Ulm, Germany
| | | | | | | | - Johannes Dorst
- Department of Neurology, University of Ulm, Ulm, Germany
| | - Emily Feneberg
- Department of Neurology, University of Ulm, Ulm, Germany.,Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Benjamin Mayer
- Institute of Epidemiology and Medical Biometry, University of Ulm, Ulm, Germany
| | | | - Martin Gorges
- Department of Neurology, University of Ulm, Ulm, Germany
| | | | - Alexander E Volk
- Institute of Human Genetics, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Vincenzo Silani
- Department of Neurology and Laboratory of Neuroscience, IRCCS Istituto Auxologico Italiano, and Department of Pathophysiology and Transplantation, 'Dino Ferrari' Center, Università degli Studi di Milano, Milan, Italy
| | | | - Markus Otto
- Department of Neurology, University of Ulm, Ulm, Germany
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Theme 6 Tissue biomarkers. Amyotroph Lateral Scler Frontotemporal Degener 2018; 19:198-216. [DOI: 10.1080/21678421.2018.1510573] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
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Steinacker P, Barschke P, Otto M. Biomarkers for diseases with TDP-43 pathology. Mol Cell Neurosci 2018; 97:43-59. [PMID: 30399416 DOI: 10.1016/j.mcn.2018.10.003] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2018] [Revised: 10/26/2018] [Accepted: 10/29/2018] [Indexed: 01/01/2023] Open
Abstract
The discovery that aggregated transactive response DNA-binding protein 43 kDa (TDP-43) is the major component of pathological ubiquitinated inclusions in amyotrophic lateral sclerosis (ALS) and frontotemporal lobar degeneration (FTLD) caused seminal progress in the unveiling of the genetic bases and molecular characteristics of these now so-called TDP-43 proteinopathies. Substantial increase in the knowledge of clinic-pathological coherencies, especially for FTLD variants, could be made in the last decade, but also revealed a considerable complexity of TDP-43 pathology and often a poor correlation of clinical and molecular disease characteristics. To date, an underlying TDP-43 pathology can be predicted only for patients with mutations in the genes C9orf72 and GRN, but is dependent on neuropathological verification in patients without family history, which represent the majority of cases. As etiology-specific therapies for neurodegenerative proteinopathies are emerging, methods to forecast TDP-43 pathology at patients' lifetime are highly required. Here, we review the current status of research pursued to identify specific indicators to predict or exclude TDP-43 pathology in the ALS-FTLD spectrum disorders and findings on candidates for prognosis and monitoring of disease progression in TDP-43 proteinopathies with a focus on TDP-43 with its pathological forms, neurochemical and imaging biomarkers.
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Affiliation(s)
| | - Peggy Barschke
- Department of Neurology, University of Ulm, Ulm, Germany
| | - Markus Otto
- Department of Neurology, University of Ulm, Ulm, Germany.
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Steinacker P, Anderl-Straub S, Diehl-Schmid J, Semler E, Uttner I, von Arnim CAF, Barthel H, Danek A, Fassbender K, Fliessbach K, Foerstl H, Grimmer T, Huppertz HJ, Jahn H, Kassubek J, Kornhuber J, Landwehrmeyer B, Lauer M, Maler JM, Mayer B, Oeckl P, Prudlo J, Schneider A, Volk AE, Wiltfang J, Schroeter ML, Ludolph AC, Otto M. Serum neurofilament light chain in behavioral variant frontotemporal dementia. Neurology 2018; 91:e1390-e1401. [PMID: 30209235 DOI: 10.1212/wnl.0000000000006318] [Citation(s) in RCA: 83] [Impact Index Per Article: 13.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2018] [Accepted: 07/10/2018] [Indexed: 12/12/2022] Open
Abstract
OBJECTIVE To determine the association of serum neurofilament light chain (NfL) with functional deterioration and brain atrophy during follow-up of patients with behavioral variant frontotemporal dementia (bvFTD). METHODS Blood NfL levels from 74 patients with bvFTD, 26 with Alzheimer disease (AD), 17 with mild cognitive impairment (MCI), and 15 healthy controls (Con) at baseline and follow-up were determined and analyzed for the diagnostic potential in relation to functional assessment (Clinical Dementia Rating Scale Sum of Boxes [CDR-SOB], frontotemporal lobar degeneration-related CDR-SOB, Mini-Mental State Examination [MMSE]) and brain volumetry. RESULTS At baseline, serum NfL level correlated with CSF NfL (bvFTD r = 0.706, p < 0.0001; AD/MCI r = 0.666, p = 0.0003). Highest serum levels were observed in bvFTD (p <0 0.0001 vs Con and MCI, p = 0.0078 vs AD, respectively). Discrimination of bvFTD from Con/MCI/AD was possible with 91%/74%/74% sensitivity and 79%/74%/58% specificity. At follow-up, serum NfL increased in bvFTD and AD (p = 0.0039 and p = 0.0006, respectively). At baseline and follow-up, NfL correlated with functional scores of patients with bvFTD (e.g., CDR-SOB [baseline] r = 0.4157, p = 0.0006; [follow-up] r = 0.5629, p < 0.0001) and with atrophy in the gray and white matter of many brain regions including frontal and subcortical areas (e.g., frontal lobe: r = -0.5857, p < 0.0001; 95% confidence interval -0.7415 to -0.3701). For patients with AD/MCI, NfL correlated with the functional performance as well (e.g., CDR-SOB [baseline] r = 0.6624, p < 0.0001; [follow-up] r = 0.5659, p = 0.0003) but not with regional brain volumes. CONCLUSIONS As serum NfL correlates with functional impairment and brain atrophy in bvFTD at different disease stages, we propose it as marker of disease severity, paving the way for its future use as outcome measure for clinical trials. CLASSIFICATION OF EVIDENCE This study provides Class III evidence that for patients with cognitive problems, serum NfL concentration discriminates bvFTD from other forms of dementia.
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Affiliation(s)
- Petra Steinacker
- From the Department of Neurology (P.S., S.A.-S., E.S., I.U., C.A.F.v.A., J. Kassubek, B.L., P.O., A.C.L., M.O.) and Institute of Epidemiology and Medical Biometry (B.M.), University of Ulm; Department of Psychiatry and Psychotherapy (J.D.-S., H.F., T.G.), Klinikum Rechts der Isar, Technical University of Munich; Department of Nuclear Medicine (H.B.), Leipzig University Hospital; Department of Neurology (A.D.), Ludwig-Maximilians-University, Munich; Department of Neurology (K.F.), Saarland University, Homburg; Department of Psychiatry and Psychotherapy (K.F.), University of Bonn, Germany; Swiss Epilepsy Center (H.-J.H.), Zurich, Switzerland; Department of Psychiatry and Psychotherapy (H.J.), University Medical Center Hamburg-Eppendorf, Hamburg; AMEOS Klinikum (H.J.), Heiligenhafen; Department of Psychiatry and Psychotherapy (J. Kornhuber, J.M.M.), Friedrich-Alexander-University of Erlangen-Nuremberg, Erlangen; Department of Psychiatry and Psychotherapy (M.L.), University of Würzburg; Department of Neurology (J.P.), University of Rostock; DZNE (J.P.), Rostock; Department of Neurodegenerative Diseases and Geriatric Psychiatry (A.S.), University Hospital Bonn; DZNE (A.S.), Bonn; Institute of Human Genetics (A.E.V.), University Medical Center Hamburg-Eppendorf, Hamburg; Department of Psychiatry and Psychotherapy (J.W.), University Medical Center Göttingen; DZNE (J.W.), Göttingen, Germany; iBiMED (J.W.), Medical Sciences Department, University of Aveiro, Portugal; Clinic for Cognitive Neurology (M.L.S.), University Clinic Leipzig; and Max Planck Institute for Human Cognitive and Brain Sciences (M.L.S.), Leipzig, Germany
| | - Sarah Anderl-Straub
- From the Department of Neurology (P.S., S.A.-S., E.S., I.U., C.A.F.v.A., J. Kassubek, B.L., P.O., A.C.L., M.O.) and Institute of Epidemiology and Medical Biometry (B.M.), University of Ulm; Department of Psychiatry and Psychotherapy (J.D.-S., H.F., T.G.), Klinikum Rechts der Isar, Technical University of Munich; Department of Nuclear Medicine (H.B.), Leipzig University Hospital; Department of Neurology (A.D.), Ludwig-Maximilians-University, Munich; Department of Neurology (K.F.), Saarland University, Homburg; Department of Psychiatry and Psychotherapy (K.F.), University of Bonn, Germany; Swiss Epilepsy Center (H.-J.H.), Zurich, Switzerland; Department of Psychiatry and Psychotherapy (H.J.), University Medical Center Hamburg-Eppendorf, Hamburg; AMEOS Klinikum (H.J.), Heiligenhafen; Department of Psychiatry and Psychotherapy (J. Kornhuber, J.M.M.), Friedrich-Alexander-University of Erlangen-Nuremberg, Erlangen; Department of Psychiatry and Psychotherapy (M.L.), University of Würzburg; Department of Neurology (J.P.), University of Rostock; DZNE (J.P.), Rostock; Department of Neurodegenerative Diseases and Geriatric Psychiatry (A.S.), University Hospital Bonn; DZNE (A.S.), Bonn; Institute of Human Genetics (A.E.V.), University Medical Center Hamburg-Eppendorf, Hamburg; Department of Psychiatry and Psychotherapy (J.W.), University Medical Center Göttingen; DZNE (J.W.), Göttingen, Germany; iBiMED (J.W.), Medical Sciences Department, University of Aveiro, Portugal; Clinic for Cognitive Neurology (M.L.S.), University Clinic Leipzig; and Max Planck Institute for Human Cognitive and Brain Sciences (M.L.S.), Leipzig, Germany
| | - Janine Diehl-Schmid
- From the Department of Neurology (P.S., S.A.-S., E.S., I.U., C.A.F.v.A., J. Kassubek, B.L., P.O., A.C.L., M.O.) and Institute of Epidemiology and Medical Biometry (B.M.), University of Ulm; Department of Psychiatry and Psychotherapy (J.D.-S., H.F., T.G.), Klinikum Rechts der Isar, Technical University of Munich; Department of Nuclear Medicine (H.B.), Leipzig University Hospital; Department of Neurology (A.D.), Ludwig-Maximilians-University, Munich; Department of Neurology (K.F.), Saarland University, Homburg; Department of Psychiatry and Psychotherapy (K.F.), University of Bonn, Germany; Swiss Epilepsy Center (H.-J.H.), Zurich, Switzerland; Department of Psychiatry and Psychotherapy (H.J.), University Medical Center Hamburg-Eppendorf, Hamburg; AMEOS Klinikum (H.J.), Heiligenhafen; Department of Psychiatry and Psychotherapy (J. Kornhuber, J.M.M.), Friedrich-Alexander-University of Erlangen-Nuremberg, Erlangen; Department of Psychiatry and Psychotherapy (M.L.), University of Würzburg; Department of Neurology (J.P.), University of Rostock; DZNE (J.P.), Rostock; Department of Neurodegenerative Diseases and Geriatric Psychiatry (A.S.), University Hospital Bonn; DZNE (A.S.), Bonn; Institute of Human Genetics (A.E.V.), University Medical Center Hamburg-Eppendorf, Hamburg; Department of Psychiatry and Psychotherapy (J.W.), University Medical Center Göttingen; DZNE (J.W.), Göttingen, Germany; iBiMED (J.W.), Medical Sciences Department, University of Aveiro, Portugal; Clinic for Cognitive Neurology (M.L.S.), University Clinic Leipzig; and Max Planck Institute for Human Cognitive and Brain Sciences (M.L.S.), Leipzig, Germany
| | - Elisa Semler
- From the Department of Neurology (P.S., S.A.-S., E.S., I.U., C.A.F.v.A., J. Kassubek, B.L., P.O., A.C.L., M.O.) and Institute of Epidemiology and Medical Biometry (B.M.), University of Ulm; Department of Psychiatry and Psychotherapy (J.D.-S., H.F., T.G.), Klinikum Rechts der Isar, Technical University of Munich; Department of Nuclear Medicine (H.B.), Leipzig University Hospital; Department of Neurology (A.D.), Ludwig-Maximilians-University, Munich; Department of Neurology (K.F.), Saarland University, Homburg; Department of Psychiatry and Psychotherapy (K.F.), University of Bonn, Germany; Swiss Epilepsy Center (H.-J.H.), Zurich, Switzerland; Department of Psychiatry and Psychotherapy (H.J.), University Medical Center Hamburg-Eppendorf, Hamburg; AMEOS Klinikum (H.J.), Heiligenhafen; Department of Psychiatry and Psychotherapy (J. Kornhuber, J.M.M.), Friedrich-Alexander-University of Erlangen-Nuremberg, Erlangen; Department of Psychiatry and Psychotherapy (M.L.), University of Würzburg; Department of Neurology (J.P.), University of Rostock; DZNE (J.P.), Rostock; Department of Neurodegenerative Diseases and Geriatric Psychiatry (A.S.), University Hospital Bonn; DZNE (A.S.), Bonn; Institute of Human Genetics (A.E.V.), University Medical Center Hamburg-Eppendorf, Hamburg; Department of Psychiatry and Psychotherapy (J.W.), University Medical Center Göttingen; DZNE (J.W.), Göttingen, Germany; iBiMED (J.W.), Medical Sciences Department, University of Aveiro, Portugal; Clinic for Cognitive Neurology (M.L.S.), University Clinic Leipzig; and Max Planck Institute for Human Cognitive and Brain Sciences (M.L.S.), Leipzig, Germany
| | - Ingo Uttner
- From the Department of Neurology (P.S., S.A.-S., E.S., I.U., C.A.F.v.A., J. Kassubek, B.L., P.O., A.C.L., M.O.) and Institute of Epidemiology and Medical Biometry (B.M.), University of Ulm; Department of Psychiatry and Psychotherapy (J.D.-S., H.F., T.G.), Klinikum Rechts der Isar, Technical University of Munich; Department of Nuclear Medicine (H.B.), Leipzig University Hospital; Department of Neurology (A.D.), Ludwig-Maximilians-University, Munich; Department of Neurology (K.F.), Saarland University, Homburg; Department of Psychiatry and Psychotherapy (K.F.), University of Bonn, Germany; Swiss Epilepsy Center (H.-J.H.), Zurich, Switzerland; Department of Psychiatry and Psychotherapy (H.J.), University Medical Center Hamburg-Eppendorf, Hamburg; AMEOS Klinikum (H.J.), Heiligenhafen; Department of Psychiatry and Psychotherapy (J. Kornhuber, J.M.M.), Friedrich-Alexander-University of Erlangen-Nuremberg, Erlangen; Department of Psychiatry and Psychotherapy (M.L.), University of Würzburg; Department of Neurology (J.P.), University of Rostock; DZNE (J.P.), Rostock; Department of Neurodegenerative Diseases and Geriatric Psychiatry (A.S.), University Hospital Bonn; DZNE (A.S.), Bonn; Institute of Human Genetics (A.E.V.), University Medical Center Hamburg-Eppendorf, Hamburg; Department of Psychiatry and Psychotherapy (J.W.), University Medical Center Göttingen; DZNE (J.W.), Göttingen, Germany; iBiMED (J.W.), Medical Sciences Department, University of Aveiro, Portugal; Clinic for Cognitive Neurology (M.L.S.), University Clinic Leipzig; and Max Planck Institute for Human Cognitive and Brain Sciences (M.L.S.), Leipzig, Germany
| | - Christine A F von Arnim
- From the Department of Neurology (P.S., S.A.-S., E.S., I.U., C.A.F.v.A., J. Kassubek, B.L., P.O., A.C.L., M.O.) and Institute of Epidemiology and Medical Biometry (B.M.), University of Ulm; Department of Psychiatry and Psychotherapy (J.D.-S., H.F., T.G.), Klinikum Rechts der Isar, Technical University of Munich; Department of Nuclear Medicine (H.B.), Leipzig University Hospital; Department of Neurology (A.D.), Ludwig-Maximilians-University, Munich; Department of Neurology (K.F.), Saarland University, Homburg; Department of Psychiatry and Psychotherapy (K.F.), University of Bonn, Germany; Swiss Epilepsy Center (H.-J.H.), Zurich, Switzerland; Department of Psychiatry and Psychotherapy (H.J.), University Medical Center Hamburg-Eppendorf, Hamburg; AMEOS Klinikum (H.J.), Heiligenhafen; Department of Psychiatry and Psychotherapy (J. Kornhuber, J.M.M.), Friedrich-Alexander-University of Erlangen-Nuremberg, Erlangen; Department of Psychiatry and Psychotherapy (M.L.), University of Würzburg; Department of Neurology (J.P.), University of Rostock; DZNE (J.P.), Rostock; Department of Neurodegenerative Diseases and Geriatric Psychiatry (A.S.), University Hospital Bonn; DZNE (A.S.), Bonn; Institute of Human Genetics (A.E.V.), University Medical Center Hamburg-Eppendorf, Hamburg; Department of Psychiatry and Psychotherapy (J.W.), University Medical Center Göttingen; DZNE (J.W.), Göttingen, Germany; iBiMED (J.W.), Medical Sciences Department, University of Aveiro, Portugal; Clinic for Cognitive Neurology (M.L.S.), University Clinic Leipzig; and Max Planck Institute for Human Cognitive and Brain Sciences (M.L.S.), Leipzig, Germany
| | - Henryk Barthel
- From the Department of Neurology (P.S., S.A.-S., E.S., I.U., C.A.F.v.A., J. Kassubek, B.L., P.O., A.C.L., M.O.) and Institute of Epidemiology and Medical Biometry (B.M.), University of Ulm; Department of Psychiatry and Psychotherapy (J.D.-S., H.F., T.G.), Klinikum Rechts der Isar, Technical University of Munich; Department of Nuclear Medicine (H.B.), Leipzig University Hospital; Department of Neurology (A.D.), Ludwig-Maximilians-University, Munich; Department of Neurology (K.F.), Saarland University, Homburg; Department of Psychiatry and Psychotherapy (K.F.), University of Bonn, Germany; Swiss Epilepsy Center (H.-J.H.), Zurich, Switzerland; Department of Psychiatry and Psychotherapy (H.J.), University Medical Center Hamburg-Eppendorf, Hamburg; AMEOS Klinikum (H.J.), Heiligenhafen; Department of Psychiatry and Psychotherapy (J. Kornhuber, J.M.M.), Friedrich-Alexander-University of Erlangen-Nuremberg, Erlangen; Department of Psychiatry and Psychotherapy (M.L.), University of Würzburg; Department of Neurology (J.P.), University of Rostock; DZNE (J.P.), Rostock; Department of Neurodegenerative Diseases and Geriatric Psychiatry (A.S.), University Hospital Bonn; DZNE (A.S.), Bonn; Institute of Human Genetics (A.E.V.), University Medical Center Hamburg-Eppendorf, Hamburg; Department of Psychiatry and Psychotherapy (J.W.), University Medical Center Göttingen; DZNE (J.W.), Göttingen, Germany; iBiMED (J.W.), Medical Sciences Department, University of Aveiro, Portugal; Clinic for Cognitive Neurology (M.L.S.), University Clinic Leipzig; and Max Planck Institute for Human Cognitive and Brain Sciences (M.L.S.), Leipzig, Germany
| | - Adrian Danek
- From the Department of Neurology (P.S., S.A.-S., E.S., I.U., C.A.F.v.A., J. Kassubek, B.L., P.O., A.C.L., M.O.) and Institute of Epidemiology and Medical Biometry (B.M.), University of Ulm; Department of Psychiatry and Psychotherapy (J.D.-S., H.F., T.G.), Klinikum Rechts der Isar, Technical University of Munich; Department of Nuclear Medicine (H.B.), Leipzig University Hospital; Department of Neurology (A.D.), Ludwig-Maximilians-University, Munich; Department of Neurology (K.F.), Saarland University, Homburg; Department of Psychiatry and Psychotherapy (K.F.), University of Bonn, Germany; Swiss Epilepsy Center (H.-J.H.), Zurich, Switzerland; Department of Psychiatry and Psychotherapy (H.J.), University Medical Center Hamburg-Eppendorf, Hamburg; AMEOS Klinikum (H.J.), Heiligenhafen; Department of Psychiatry and Psychotherapy (J. Kornhuber, J.M.M.), Friedrich-Alexander-University of Erlangen-Nuremberg, Erlangen; Department of Psychiatry and Psychotherapy (M.L.), University of Würzburg; Department of Neurology (J.P.), University of Rostock; DZNE (J.P.), Rostock; Department of Neurodegenerative Diseases and Geriatric Psychiatry (A.S.), University Hospital Bonn; DZNE (A.S.), Bonn; Institute of Human Genetics (A.E.V.), University Medical Center Hamburg-Eppendorf, Hamburg; Department of Psychiatry and Psychotherapy (J.W.), University Medical Center Göttingen; DZNE (J.W.), Göttingen, Germany; iBiMED (J.W.), Medical Sciences Department, University of Aveiro, Portugal; Clinic for Cognitive Neurology (M.L.S.), University Clinic Leipzig; and Max Planck Institute for Human Cognitive and Brain Sciences (M.L.S.), Leipzig, Germany
| | - Klaus Fassbender
- From the Department of Neurology (P.S., S.A.-S., E.S., I.U., C.A.F.v.A., J. Kassubek, B.L., P.O., A.C.L., M.O.) and Institute of Epidemiology and Medical Biometry (B.M.), University of Ulm; Department of Psychiatry and Psychotherapy (J.D.-S., H.F., T.G.), Klinikum Rechts der Isar, Technical University of Munich; Department of Nuclear Medicine (H.B.), Leipzig University Hospital; Department of Neurology (A.D.), Ludwig-Maximilians-University, Munich; Department of Neurology (K.F.), Saarland University, Homburg; Department of Psychiatry and Psychotherapy (K.F.), University of Bonn, Germany; Swiss Epilepsy Center (H.-J.H.), Zurich, Switzerland; Department of Psychiatry and Psychotherapy (H.J.), University Medical Center Hamburg-Eppendorf, Hamburg; AMEOS Klinikum (H.J.), Heiligenhafen; Department of Psychiatry and Psychotherapy (J. Kornhuber, J.M.M.), Friedrich-Alexander-University of Erlangen-Nuremberg, Erlangen; Department of Psychiatry and Psychotherapy (M.L.), University of Würzburg; Department of Neurology (J.P.), University of Rostock; DZNE (J.P.), Rostock; Department of Neurodegenerative Diseases and Geriatric Psychiatry (A.S.), University Hospital Bonn; DZNE (A.S.), Bonn; Institute of Human Genetics (A.E.V.), University Medical Center Hamburg-Eppendorf, Hamburg; Department of Psychiatry and Psychotherapy (J.W.), University Medical Center Göttingen; DZNE (J.W.), Göttingen, Germany; iBiMED (J.W.), Medical Sciences Department, University of Aveiro, Portugal; Clinic for Cognitive Neurology (M.L.S.), University Clinic Leipzig; and Max Planck Institute for Human Cognitive and Brain Sciences (M.L.S.), Leipzig, Germany
| | - Klaus Fliessbach
- From the Department of Neurology (P.S., S.A.-S., E.S., I.U., C.A.F.v.A., J. Kassubek, B.L., P.O., A.C.L., M.O.) and Institute of Epidemiology and Medical Biometry (B.M.), University of Ulm; Department of Psychiatry and Psychotherapy (J.D.-S., H.F., T.G.), Klinikum Rechts der Isar, Technical University of Munich; Department of Nuclear Medicine (H.B.), Leipzig University Hospital; Department of Neurology (A.D.), Ludwig-Maximilians-University, Munich; Department of Neurology (K.F.), Saarland University, Homburg; Department of Psychiatry and Psychotherapy (K.F.), University of Bonn, Germany; Swiss Epilepsy Center (H.-J.H.), Zurich, Switzerland; Department of Psychiatry and Psychotherapy (H.J.), University Medical Center Hamburg-Eppendorf, Hamburg; AMEOS Klinikum (H.J.), Heiligenhafen; Department of Psychiatry and Psychotherapy (J. Kornhuber, J.M.M.), Friedrich-Alexander-University of Erlangen-Nuremberg, Erlangen; Department of Psychiatry and Psychotherapy (M.L.), University of Würzburg; Department of Neurology (J.P.), University of Rostock; DZNE (J.P.), Rostock; Department of Neurodegenerative Diseases and Geriatric Psychiatry (A.S.), University Hospital Bonn; DZNE (A.S.), Bonn; Institute of Human Genetics (A.E.V.), University Medical Center Hamburg-Eppendorf, Hamburg; Department of Psychiatry and Psychotherapy (J.W.), University Medical Center Göttingen; DZNE (J.W.), Göttingen, Germany; iBiMED (J.W.), Medical Sciences Department, University of Aveiro, Portugal; Clinic for Cognitive Neurology (M.L.S.), University Clinic Leipzig; and Max Planck Institute for Human Cognitive and Brain Sciences (M.L.S.), Leipzig, Germany
| | - Hans Foerstl
- From the Department of Neurology (P.S., S.A.-S., E.S., I.U., C.A.F.v.A., J. Kassubek, B.L., P.O., A.C.L., M.O.) and Institute of Epidemiology and Medical Biometry (B.M.), University of Ulm; Department of Psychiatry and Psychotherapy (J.D.-S., H.F., T.G.), Klinikum Rechts der Isar, Technical University of Munich; Department of Nuclear Medicine (H.B.), Leipzig University Hospital; Department of Neurology (A.D.), Ludwig-Maximilians-University, Munich; Department of Neurology (K.F.), Saarland University, Homburg; Department of Psychiatry and Psychotherapy (K.F.), University of Bonn, Germany; Swiss Epilepsy Center (H.-J.H.), Zurich, Switzerland; Department of Psychiatry and Psychotherapy (H.J.), University Medical Center Hamburg-Eppendorf, Hamburg; AMEOS Klinikum (H.J.), Heiligenhafen; Department of Psychiatry and Psychotherapy (J. Kornhuber, J.M.M.), Friedrich-Alexander-University of Erlangen-Nuremberg, Erlangen; Department of Psychiatry and Psychotherapy (M.L.), University of Würzburg; Department of Neurology (J.P.), University of Rostock; DZNE (J.P.), Rostock; Department of Neurodegenerative Diseases and Geriatric Psychiatry (A.S.), University Hospital Bonn; DZNE (A.S.), Bonn; Institute of Human Genetics (A.E.V.), University Medical Center Hamburg-Eppendorf, Hamburg; Department of Psychiatry and Psychotherapy (J.W.), University Medical Center Göttingen; DZNE (J.W.), Göttingen, Germany; iBiMED (J.W.), Medical Sciences Department, University of Aveiro, Portugal; Clinic for Cognitive Neurology (M.L.S.), University Clinic Leipzig; and Max Planck Institute for Human Cognitive and Brain Sciences (M.L.S.), Leipzig, Germany
| | - Timo Grimmer
- From the Department of Neurology (P.S., S.A.-S., E.S., I.U., C.A.F.v.A., J. Kassubek, B.L., P.O., A.C.L., M.O.) and Institute of Epidemiology and Medical Biometry (B.M.), University of Ulm; Department of Psychiatry and Psychotherapy (J.D.-S., H.F., T.G.), Klinikum Rechts der Isar, Technical University of Munich; Department of Nuclear Medicine (H.B.), Leipzig University Hospital; Department of Neurology (A.D.), Ludwig-Maximilians-University, Munich; Department of Neurology (K.F.), Saarland University, Homburg; Department of Psychiatry and Psychotherapy (K.F.), University of Bonn, Germany; Swiss Epilepsy Center (H.-J.H.), Zurich, Switzerland; Department of Psychiatry and Psychotherapy (H.J.), University Medical Center Hamburg-Eppendorf, Hamburg; AMEOS Klinikum (H.J.), Heiligenhafen; Department of Psychiatry and Psychotherapy (J. Kornhuber, J.M.M.), Friedrich-Alexander-University of Erlangen-Nuremberg, Erlangen; Department of Psychiatry and Psychotherapy (M.L.), University of Würzburg; Department of Neurology (J.P.), University of Rostock; DZNE (J.P.), Rostock; Department of Neurodegenerative Diseases and Geriatric Psychiatry (A.S.), University Hospital Bonn; DZNE (A.S.), Bonn; Institute of Human Genetics (A.E.V.), University Medical Center Hamburg-Eppendorf, Hamburg; Department of Psychiatry and Psychotherapy (J.W.), University Medical Center Göttingen; DZNE (J.W.), Göttingen, Germany; iBiMED (J.W.), Medical Sciences Department, University of Aveiro, Portugal; Clinic for Cognitive Neurology (M.L.S.), University Clinic Leipzig; and Max Planck Institute for Human Cognitive and Brain Sciences (M.L.S.), Leipzig, Germany
| | - Hans-Jürgen Huppertz
- From the Department of Neurology (P.S., S.A.-S., E.S., I.U., C.A.F.v.A., J. Kassubek, B.L., P.O., A.C.L., M.O.) and Institute of Epidemiology and Medical Biometry (B.M.), University of Ulm; Department of Psychiatry and Psychotherapy (J.D.-S., H.F., T.G.), Klinikum Rechts der Isar, Technical University of Munich; Department of Nuclear Medicine (H.B.), Leipzig University Hospital; Department of Neurology (A.D.), Ludwig-Maximilians-University, Munich; Department of Neurology (K.F.), Saarland University, Homburg; Department of Psychiatry and Psychotherapy (K.F.), University of Bonn, Germany; Swiss Epilepsy Center (H.-J.H.), Zurich, Switzerland; Department of Psychiatry and Psychotherapy (H.J.), University Medical Center Hamburg-Eppendorf, Hamburg; AMEOS Klinikum (H.J.), Heiligenhafen; Department of Psychiatry and Psychotherapy (J. Kornhuber, J.M.M.), Friedrich-Alexander-University of Erlangen-Nuremberg, Erlangen; Department of Psychiatry and Psychotherapy (M.L.), University of Würzburg; Department of Neurology (J.P.), University of Rostock; DZNE (J.P.), Rostock; Department of Neurodegenerative Diseases and Geriatric Psychiatry (A.S.), University Hospital Bonn; DZNE (A.S.), Bonn; Institute of Human Genetics (A.E.V.), University Medical Center Hamburg-Eppendorf, Hamburg; Department of Psychiatry and Psychotherapy (J.W.), University Medical Center Göttingen; DZNE (J.W.), Göttingen, Germany; iBiMED (J.W.), Medical Sciences Department, University of Aveiro, Portugal; Clinic for Cognitive Neurology (M.L.S.), University Clinic Leipzig; and Max Planck Institute for Human Cognitive and Brain Sciences (M.L.S.), Leipzig, Germany
| | - Holger Jahn
- From the Department of Neurology (P.S., S.A.-S., E.S., I.U., C.A.F.v.A., J. Kassubek, B.L., P.O., A.C.L., M.O.) and Institute of Epidemiology and Medical Biometry (B.M.), University of Ulm; Department of Psychiatry and Psychotherapy (J.D.-S., H.F., T.G.), Klinikum Rechts der Isar, Technical University of Munich; Department of Nuclear Medicine (H.B.), Leipzig University Hospital; Department of Neurology (A.D.), Ludwig-Maximilians-University, Munich; Department of Neurology (K.F.), Saarland University, Homburg; Department of Psychiatry and Psychotherapy (K.F.), University of Bonn, Germany; Swiss Epilepsy Center (H.-J.H.), Zurich, Switzerland; Department of Psychiatry and Psychotherapy (H.J.), University Medical Center Hamburg-Eppendorf, Hamburg; AMEOS Klinikum (H.J.), Heiligenhafen; Department of Psychiatry and Psychotherapy (J. Kornhuber, J.M.M.), Friedrich-Alexander-University of Erlangen-Nuremberg, Erlangen; Department of Psychiatry and Psychotherapy (M.L.), University of Würzburg; Department of Neurology (J.P.), University of Rostock; DZNE (J.P.), Rostock; Department of Neurodegenerative Diseases and Geriatric Psychiatry (A.S.), University Hospital Bonn; DZNE (A.S.), Bonn; Institute of Human Genetics (A.E.V.), University Medical Center Hamburg-Eppendorf, Hamburg; Department of Psychiatry and Psychotherapy (J.W.), University Medical Center Göttingen; DZNE (J.W.), Göttingen, Germany; iBiMED (J.W.), Medical Sciences Department, University of Aveiro, Portugal; Clinic for Cognitive Neurology (M.L.S.), University Clinic Leipzig; and Max Planck Institute for Human Cognitive and Brain Sciences (M.L.S.), Leipzig, Germany
| | - Jan Kassubek
- From the Department of Neurology (P.S., S.A.-S., E.S., I.U., C.A.F.v.A., J. Kassubek, B.L., P.O., A.C.L., M.O.) and Institute of Epidemiology and Medical Biometry (B.M.), University of Ulm; Department of Psychiatry and Psychotherapy (J.D.-S., H.F., T.G.), Klinikum Rechts der Isar, Technical University of Munich; Department of Nuclear Medicine (H.B.), Leipzig University Hospital; Department of Neurology (A.D.), Ludwig-Maximilians-University, Munich; Department of Neurology (K.F.), Saarland University, Homburg; Department of Psychiatry and Psychotherapy (K.F.), University of Bonn, Germany; Swiss Epilepsy Center (H.-J.H.), Zurich, Switzerland; Department of Psychiatry and Psychotherapy (H.J.), University Medical Center Hamburg-Eppendorf, Hamburg; AMEOS Klinikum (H.J.), Heiligenhafen; Department of Psychiatry and Psychotherapy (J. Kornhuber, J.M.M.), Friedrich-Alexander-University of Erlangen-Nuremberg, Erlangen; Department of Psychiatry and Psychotherapy (M.L.), University of Würzburg; Department of Neurology (J.P.), University of Rostock; DZNE (J.P.), Rostock; Department of Neurodegenerative Diseases and Geriatric Psychiatry (A.S.), University Hospital Bonn; DZNE (A.S.), Bonn; Institute of Human Genetics (A.E.V.), University Medical Center Hamburg-Eppendorf, Hamburg; Department of Psychiatry and Psychotherapy (J.W.), University Medical Center Göttingen; DZNE (J.W.), Göttingen, Germany; iBiMED (J.W.), Medical Sciences Department, University of Aveiro, Portugal; Clinic for Cognitive Neurology (M.L.S.), University Clinic Leipzig; and Max Planck Institute for Human Cognitive and Brain Sciences (M.L.S.), Leipzig, Germany
| | - Johannes Kornhuber
- From the Department of Neurology (P.S., S.A.-S., E.S., I.U., C.A.F.v.A., J. Kassubek, B.L., P.O., A.C.L., M.O.) and Institute of Epidemiology and Medical Biometry (B.M.), University of Ulm; Department of Psychiatry and Psychotherapy (J.D.-S., H.F., T.G.), Klinikum Rechts der Isar, Technical University of Munich; Department of Nuclear Medicine (H.B.), Leipzig University Hospital; Department of Neurology (A.D.), Ludwig-Maximilians-University, Munich; Department of Neurology (K.F.), Saarland University, Homburg; Department of Psychiatry and Psychotherapy (K.F.), University of Bonn, Germany; Swiss Epilepsy Center (H.-J.H.), Zurich, Switzerland; Department of Psychiatry and Psychotherapy (H.J.), University Medical Center Hamburg-Eppendorf, Hamburg; AMEOS Klinikum (H.J.), Heiligenhafen; Department of Psychiatry and Psychotherapy (J. Kornhuber, J.M.M.), Friedrich-Alexander-University of Erlangen-Nuremberg, Erlangen; Department of Psychiatry and Psychotherapy (M.L.), University of Würzburg; Department of Neurology (J.P.), University of Rostock; DZNE (J.P.), Rostock; Department of Neurodegenerative Diseases and Geriatric Psychiatry (A.S.), University Hospital Bonn; DZNE (A.S.), Bonn; Institute of Human Genetics (A.E.V.), University Medical Center Hamburg-Eppendorf, Hamburg; Department of Psychiatry and Psychotherapy (J.W.), University Medical Center Göttingen; DZNE (J.W.), Göttingen, Germany; iBiMED (J.W.), Medical Sciences Department, University of Aveiro, Portugal; Clinic for Cognitive Neurology (M.L.S.), University Clinic Leipzig; and Max Planck Institute for Human Cognitive and Brain Sciences (M.L.S.), Leipzig, Germany
| | - Bernhard Landwehrmeyer
- From the Department of Neurology (P.S., S.A.-S., E.S., I.U., C.A.F.v.A., J. Kassubek, B.L., P.O., A.C.L., M.O.) and Institute of Epidemiology and Medical Biometry (B.M.), University of Ulm; Department of Psychiatry and Psychotherapy (J.D.-S., H.F., T.G.), Klinikum Rechts der Isar, Technical University of Munich; Department of Nuclear Medicine (H.B.), Leipzig University Hospital; Department of Neurology (A.D.), Ludwig-Maximilians-University, Munich; Department of Neurology (K.F.), Saarland University, Homburg; Department of Psychiatry and Psychotherapy (K.F.), University of Bonn, Germany; Swiss Epilepsy Center (H.-J.H.), Zurich, Switzerland; Department of Psychiatry and Psychotherapy (H.J.), University Medical Center Hamburg-Eppendorf, Hamburg; AMEOS Klinikum (H.J.), Heiligenhafen; Department of Psychiatry and Psychotherapy (J. Kornhuber, J.M.M.), Friedrich-Alexander-University of Erlangen-Nuremberg, Erlangen; Department of Psychiatry and Psychotherapy (M.L.), University of Würzburg; Department of Neurology (J.P.), University of Rostock; DZNE (J.P.), Rostock; Department of Neurodegenerative Diseases and Geriatric Psychiatry (A.S.), University Hospital Bonn; DZNE (A.S.), Bonn; Institute of Human Genetics (A.E.V.), University Medical Center Hamburg-Eppendorf, Hamburg; Department of Psychiatry and Psychotherapy (J.W.), University Medical Center Göttingen; DZNE (J.W.), Göttingen, Germany; iBiMED (J.W.), Medical Sciences Department, University of Aveiro, Portugal; Clinic for Cognitive Neurology (M.L.S.), University Clinic Leipzig; and Max Planck Institute for Human Cognitive and Brain Sciences (M.L.S.), Leipzig, Germany
| | - Martin Lauer
- From the Department of Neurology (P.S., S.A.-S., E.S., I.U., C.A.F.v.A., J. Kassubek, B.L., P.O., A.C.L., M.O.) and Institute of Epidemiology and Medical Biometry (B.M.), University of Ulm; Department of Psychiatry and Psychotherapy (J.D.-S., H.F., T.G.), Klinikum Rechts der Isar, Technical University of Munich; Department of Nuclear Medicine (H.B.), Leipzig University Hospital; Department of Neurology (A.D.), Ludwig-Maximilians-University, Munich; Department of Neurology (K.F.), Saarland University, Homburg; Department of Psychiatry and Psychotherapy (K.F.), University of Bonn, Germany; Swiss Epilepsy Center (H.-J.H.), Zurich, Switzerland; Department of Psychiatry and Psychotherapy (H.J.), University Medical Center Hamburg-Eppendorf, Hamburg; AMEOS Klinikum (H.J.), Heiligenhafen; Department of Psychiatry and Psychotherapy (J. Kornhuber, J.M.M.), Friedrich-Alexander-University of Erlangen-Nuremberg, Erlangen; Department of Psychiatry and Psychotherapy (M.L.), University of Würzburg; Department of Neurology (J.P.), University of Rostock; DZNE (J.P.), Rostock; Department of Neurodegenerative Diseases and Geriatric Psychiatry (A.S.), University Hospital Bonn; DZNE (A.S.), Bonn; Institute of Human Genetics (A.E.V.), University Medical Center Hamburg-Eppendorf, Hamburg; Department of Psychiatry and Psychotherapy (J.W.), University Medical Center Göttingen; DZNE (J.W.), Göttingen, Germany; iBiMED (J.W.), Medical Sciences Department, University of Aveiro, Portugal; Clinic for Cognitive Neurology (M.L.S.), University Clinic Leipzig; and Max Planck Institute for Human Cognitive and Brain Sciences (M.L.S.), Leipzig, Germany
| | - Juan Manuel Maler
- From the Department of Neurology (P.S., S.A.-S., E.S., I.U., C.A.F.v.A., J. Kassubek, B.L., P.O., A.C.L., M.O.) and Institute of Epidemiology and Medical Biometry (B.M.), University of Ulm; Department of Psychiatry and Psychotherapy (J.D.-S., H.F., T.G.), Klinikum Rechts der Isar, Technical University of Munich; Department of Nuclear Medicine (H.B.), Leipzig University Hospital; Department of Neurology (A.D.), Ludwig-Maximilians-University, Munich; Department of Neurology (K.F.), Saarland University, Homburg; Department of Psychiatry and Psychotherapy (K.F.), University of Bonn, Germany; Swiss Epilepsy Center (H.-J.H.), Zurich, Switzerland; Department of Psychiatry and Psychotherapy (H.J.), University Medical Center Hamburg-Eppendorf, Hamburg; AMEOS Klinikum (H.J.), Heiligenhafen; Department of Psychiatry and Psychotherapy (J. Kornhuber, J.M.M.), Friedrich-Alexander-University of Erlangen-Nuremberg, Erlangen; Department of Psychiatry and Psychotherapy (M.L.), University of Würzburg; Department of Neurology (J.P.), University of Rostock; DZNE (J.P.), Rostock; Department of Neurodegenerative Diseases and Geriatric Psychiatry (A.S.), University Hospital Bonn; DZNE (A.S.), Bonn; Institute of Human Genetics (A.E.V.), University Medical Center Hamburg-Eppendorf, Hamburg; Department of Psychiatry and Psychotherapy (J.W.), University Medical Center Göttingen; DZNE (J.W.), Göttingen, Germany; iBiMED (J.W.), Medical Sciences Department, University of Aveiro, Portugal; Clinic for Cognitive Neurology (M.L.S.), University Clinic Leipzig; and Max Planck Institute for Human Cognitive and Brain Sciences (M.L.S.), Leipzig, Germany
| | - Benjamin Mayer
- From the Department of Neurology (P.S., S.A.-S., E.S., I.U., C.A.F.v.A., J. Kassubek, B.L., P.O., A.C.L., M.O.) and Institute of Epidemiology and Medical Biometry (B.M.), University of Ulm; Department of Psychiatry and Psychotherapy (J.D.-S., H.F., T.G.), Klinikum Rechts der Isar, Technical University of Munich; Department of Nuclear Medicine (H.B.), Leipzig University Hospital; Department of Neurology (A.D.), Ludwig-Maximilians-University, Munich; Department of Neurology (K.F.), Saarland University, Homburg; Department of Psychiatry and Psychotherapy (K.F.), University of Bonn, Germany; Swiss Epilepsy Center (H.-J.H.), Zurich, Switzerland; Department of Psychiatry and Psychotherapy (H.J.), University Medical Center Hamburg-Eppendorf, Hamburg; AMEOS Klinikum (H.J.), Heiligenhafen; Department of Psychiatry and Psychotherapy (J. Kornhuber, J.M.M.), Friedrich-Alexander-University of Erlangen-Nuremberg, Erlangen; Department of Psychiatry and Psychotherapy (M.L.), University of Würzburg; Department of Neurology (J.P.), University of Rostock; DZNE (J.P.), Rostock; Department of Neurodegenerative Diseases and Geriatric Psychiatry (A.S.), University Hospital Bonn; DZNE (A.S.), Bonn; Institute of Human Genetics (A.E.V.), University Medical Center Hamburg-Eppendorf, Hamburg; Department of Psychiatry and Psychotherapy (J.W.), University Medical Center Göttingen; DZNE (J.W.), Göttingen, Germany; iBiMED (J.W.), Medical Sciences Department, University of Aveiro, Portugal; Clinic for Cognitive Neurology (M.L.S.), University Clinic Leipzig; and Max Planck Institute for Human Cognitive and Brain Sciences (M.L.S.), Leipzig, Germany
| | - Patrick Oeckl
- From the Department of Neurology (P.S., S.A.-S., E.S., I.U., C.A.F.v.A., J. Kassubek, B.L., P.O., A.C.L., M.O.) and Institute of Epidemiology and Medical Biometry (B.M.), University of Ulm; Department of Psychiatry and Psychotherapy (J.D.-S., H.F., T.G.), Klinikum Rechts der Isar, Technical University of Munich; Department of Nuclear Medicine (H.B.), Leipzig University Hospital; Department of Neurology (A.D.), Ludwig-Maximilians-University, Munich; Department of Neurology (K.F.), Saarland University, Homburg; Department of Psychiatry and Psychotherapy (K.F.), University of Bonn, Germany; Swiss Epilepsy Center (H.-J.H.), Zurich, Switzerland; Department of Psychiatry and Psychotherapy (H.J.), University Medical Center Hamburg-Eppendorf, Hamburg; AMEOS Klinikum (H.J.), Heiligenhafen; Department of Psychiatry and Psychotherapy (J. Kornhuber, J.M.M.), Friedrich-Alexander-University of Erlangen-Nuremberg, Erlangen; Department of Psychiatry and Psychotherapy (M.L.), University of Würzburg; Department of Neurology (J.P.), University of Rostock; DZNE (J.P.), Rostock; Department of Neurodegenerative Diseases and Geriatric Psychiatry (A.S.), University Hospital Bonn; DZNE (A.S.), Bonn; Institute of Human Genetics (A.E.V.), University Medical Center Hamburg-Eppendorf, Hamburg; Department of Psychiatry and Psychotherapy (J.W.), University Medical Center Göttingen; DZNE (J.W.), Göttingen, Germany; iBiMED (J.W.), Medical Sciences Department, University of Aveiro, Portugal; Clinic for Cognitive Neurology (M.L.S.), University Clinic Leipzig; and Max Planck Institute for Human Cognitive and Brain Sciences (M.L.S.), Leipzig, Germany
| | - Johannes Prudlo
- From the Department of Neurology (P.S., S.A.-S., E.S., I.U., C.A.F.v.A., J. Kassubek, B.L., P.O., A.C.L., M.O.) and Institute of Epidemiology and Medical Biometry (B.M.), University of Ulm; Department of Psychiatry and Psychotherapy (J.D.-S., H.F., T.G.), Klinikum Rechts der Isar, Technical University of Munich; Department of Nuclear Medicine (H.B.), Leipzig University Hospital; Department of Neurology (A.D.), Ludwig-Maximilians-University, Munich; Department of Neurology (K.F.), Saarland University, Homburg; Department of Psychiatry and Psychotherapy (K.F.), University of Bonn, Germany; Swiss Epilepsy Center (H.-J.H.), Zurich, Switzerland; Department of Psychiatry and Psychotherapy (H.J.), University Medical Center Hamburg-Eppendorf, Hamburg; AMEOS Klinikum (H.J.), Heiligenhafen; Department of Psychiatry and Psychotherapy (J. Kornhuber, J.M.M.), Friedrich-Alexander-University of Erlangen-Nuremberg, Erlangen; Department of Psychiatry and Psychotherapy (M.L.), University of Würzburg; Department of Neurology (J.P.), University of Rostock; DZNE (J.P.), Rostock; Department of Neurodegenerative Diseases and Geriatric Psychiatry (A.S.), University Hospital Bonn; DZNE (A.S.), Bonn; Institute of Human Genetics (A.E.V.), University Medical Center Hamburg-Eppendorf, Hamburg; Department of Psychiatry and Psychotherapy (J.W.), University Medical Center Göttingen; DZNE (J.W.), Göttingen, Germany; iBiMED (J.W.), Medical Sciences Department, University of Aveiro, Portugal; Clinic for Cognitive Neurology (M.L.S.), University Clinic Leipzig; and Max Planck Institute for Human Cognitive and Brain Sciences (M.L.S.), Leipzig, Germany
| | - Anja Schneider
- From the Department of Neurology (P.S., S.A.-S., E.S., I.U., C.A.F.v.A., J. Kassubek, B.L., P.O., A.C.L., M.O.) and Institute of Epidemiology and Medical Biometry (B.M.), University of Ulm; Department of Psychiatry and Psychotherapy (J.D.-S., H.F., T.G.), Klinikum Rechts der Isar, Technical University of Munich; Department of Nuclear Medicine (H.B.), Leipzig University Hospital; Department of Neurology (A.D.), Ludwig-Maximilians-University, Munich; Department of Neurology (K.F.), Saarland University, Homburg; Department of Psychiatry and Psychotherapy (K.F.), University of Bonn, Germany; Swiss Epilepsy Center (H.-J.H.), Zurich, Switzerland; Department of Psychiatry and Psychotherapy (H.J.), University Medical Center Hamburg-Eppendorf, Hamburg; AMEOS Klinikum (H.J.), Heiligenhafen; Department of Psychiatry and Psychotherapy (J. Kornhuber, J.M.M.), Friedrich-Alexander-University of Erlangen-Nuremberg, Erlangen; Department of Psychiatry and Psychotherapy (M.L.), University of Würzburg; Department of Neurology (J.P.), University of Rostock; DZNE (J.P.), Rostock; Department of Neurodegenerative Diseases and Geriatric Psychiatry (A.S.), University Hospital Bonn; DZNE (A.S.), Bonn; Institute of Human Genetics (A.E.V.), University Medical Center Hamburg-Eppendorf, Hamburg; Department of Psychiatry and Psychotherapy (J.W.), University Medical Center Göttingen; DZNE (J.W.), Göttingen, Germany; iBiMED (J.W.), Medical Sciences Department, University of Aveiro, Portugal; Clinic for Cognitive Neurology (M.L.S.), University Clinic Leipzig; and Max Planck Institute for Human Cognitive and Brain Sciences (M.L.S.), Leipzig, Germany
| | - Alexander E Volk
- From the Department of Neurology (P.S., S.A.-S., E.S., I.U., C.A.F.v.A., J. Kassubek, B.L., P.O., A.C.L., M.O.) and Institute of Epidemiology and Medical Biometry (B.M.), University of Ulm; Department of Psychiatry and Psychotherapy (J.D.-S., H.F., T.G.), Klinikum Rechts der Isar, Technical University of Munich; Department of Nuclear Medicine (H.B.), Leipzig University Hospital; Department of Neurology (A.D.), Ludwig-Maximilians-University, Munich; Department of Neurology (K.F.), Saarland University, Homburg; Department of Psychiatry and Psychotherapy (K.F.), University of Bonn, Germany; Swiss Epilepsy Center (H.-J.H.), Zurich, Switzerland; Department of Psychiatry and Psychotherapy (H.J.), University Medical Center Hamburg-Eppendorf, Hamburg; AMEOS Klinikum (H.J.), Heiligenhafen; Department of Psychiatry and Psychotherapy (J. Kornhuber, J.M.M.), Friedrich-Alexander-University of Erlangen-Nuremberg, Erlangen; Department of Psychiatry and Psychotherapy (M.L.), University of Würzburg; Department of Neurology (J.P.), University of Rostock; DZNE (J.P.), Rostock; Department of Neurodegenerative Diseases and Geriatric Psychiatry (A.S.), University Hospital Bonn; DZNE (A.S.), Bonn; Institute of Human Genetics (A.E.V.), University Medical Center Hamburg-Eppendorf, Hamburg; Department of Psychiatry and Psychotherapy (J.W.), University Medical Center Göttingen; DZNE (J.W.), Göttingen, Germany; iBiMED (J.W.), Medical Sciences Department, University of Aveiro, Portugal; Clinic for Cognitive Neurology (M.L.S.), University Clinic Leipzig; and Max Planck Institute for Human Cognitive and Brain Sciences (M.L.S.), Leipzig, Germany
| | - Jens Wiltfang
- From the Department of Neurology (P.S., S.A.-S., E.S., I.U., C.A.F.v.A., J. Kassubek, B.L., P.O., A.C.L., M.O.) and Institute of Epidemiology and Medical Biometry (B.M.), University of Ulm; Department of Psychiatry and Psychotherapy (J.D.-S., H.F., T.G.), Klinikum Rechts der Isar, Technical University of Munich; Department of Nuclear Medicine (H.B.), Leipzig University Hospital; Department of Neurology (A.D.), Ludwig-Maximilians-University, Munich; Department of Neurology (K.F.), Saarland University, Homburg; Department of Psychiatry and Psychotherapy (K.F.), University of Bonn, Germany; Swiss Epilepsy Center (H.-J.H.), Zurich, Switzerland; Department of Psychiatry and Psychotherapy (H.J.), University Medical Center Hamburg-Eppendorf, Hamburg; AMEOS Klinikum (H.J.), Heiligenhafen; Department of Psychiatry and Psychotherapy (J. Kornhuber, J.M.M.), Friedrich-Alexander-University of Erlangen-Nuremberg, Erlangen; Department of Psychiatry and Psychotherapy (M.L.), University of Würzburg; Department of Neurology (J.P.), University of Rostock; DZNE (J.P.), Rostock; Department of Neurodegenerative Diseases and Geriatric Psychiatry (A.S.), University Hospital Bonn; DZNE (A.S.), Bonn; Institute of Human Genetics (A.E.V.), University Medical Center Hamburg-Eppendorf, Hamburg; Department of Psychiatry and Psychotherapy (J.W.), University Medical Center Göttingen; DZNE (J.W.), Göttingen, Germany; iBiMED (J.W.), Medical Sciences Department, University of Aveiro, Portugal; Clinic for Cognitive Neurology (M.L.S.), University Clinic Leipzig; and Max Planck Institute for Human Cognitive and Brain Sciences (M.L.S.), Leipzig, Germany
| | - Matthias L Schroeter
- From the Department of Neurology (P.S., S.A.-S., E.S., I.U., C.A.F.v.A., J. Kassubek, B.L., P.O., A.C.L., M.O.) and Institute of Epidemiology and Medical Biometry (B.M.), University of Ulm; Department of Psychiatry and Psychotherapy (J.D.-S., H.F., T.G.), Klinikum Rechts der Isar, Technical University of Munich; Department of Nuclear Medicine (H.B.), Leipzig University Hospital; Department of Neurology (A.D.), Ludwig-Maximilians-University, Munich; Department of Neurology (K.F.), Saarland University, Homburg; Department of Psychiatry and Psychotherapy (K.F.), University of Bonn, Germany; Swiss Epilepsy Center (H.-J.H.), Zurich, Switzerland; Department of Psychiatry and Psychotherapy (H.J.), University Medical Center Hamburg-Eppendorf, Hamburg; AMEOS Klinikum (H.J.), Heiligenhafen; Department of Psychiatry and Psychotherapy (J. Kornhuber, J.M.M.), Friedrich-Alexander-University of Erlangen-Nuremberg, Erlangen; Department of Psychiatry and Psychotherapy (M.L.), University of Würzburg; Department of Neurology (J.P.), University of Rostock; DZNE (J.P.), Rostock; Department of Neurodegenerative Diseases and Geriatric Psychiatry (A.S.), University Hospital Bonn; DZNE (A.S.), Bonn; Institute of Human Genetics (A.E.V.), University Medical Center Hamburg-Eppendorf, Hamburg; Department of Psychiatry and Psychotherapy (J.W.), University Medical Center Göttingen; DZNE (J.W.), Göttingen, Germany; iBiMED (J.W.), Medical Sciences Department, University of Aveiro, Portugal; Clinic for Cognitive Neurology (M.L.S.), University Clinic Leipzig; and Max Planck Institute for Human Cognitive and Brain Sciences (M.L.S.), Leipzig, Germany
| | - Albert C Ludolph
- From the Department of Neurology (P.S., S.A.-S., E.S., I.U., C.A.F.v.A., J. Kassubek, B.L., P.O., A.C.L., M.O.) and Institute of Epidemiology and Medical Biometry (B.M.), University of Ulm; Department of Psychiatry and Psychotherapy (J.D.-S., H.F., T.G.), Klinikum Rechts der Isar, Technical University of Munich; Department of Nuclear Medicine (H.B.), Leipzig University Hospital; Department of Neurology (A.D.), Ludwig-Maximilians-University, Munich; Department of Neurology (K.F.), Saarland University, Homburg; Department of Psychiatry and Psychotherapy (K.F.), University of Bonn, Germany; Swiss Epilepsy Center (H.-J.H.), Zurich, Switzerland; Department of Psychiatry and Psychotherapy (H.J.), University Medical Center Hamburg-Eppendorf, Hamburg; AMEOS Klinikum (H.J.), Heiligenhafen; Department of Psychiatry and Psychotherapy (J. Kornhuber, J.M.M.), Friedrich-Alexander-University of Erlangen-Nuremberg, Erlangen; Department of Psychiatry and Psychotherapy (M.L.), University of Würzburg; Department of Neurology (J.P.), University of Rostock; DZNE (J.P.), Rostock; Department of Neurodegenerative Diseases and Geriatric Psychiatry (A.S.), University Hospital Bonn; DZNE (A.S.), Bonn; Institute of Human Genetics (A.E.V.), University Medical Center Hamburg-Eppendorf, Hamburg; Department of Psychiatry and Psychotherapy (J.W.), University Medical Center Göttingen; DZNE (J.W.), Göttingen, Germany; iBiMED (J.W.), Medical Sciences Department, University of Aveiro, Portugal; Clinic for Cognitive Neurology (M.L.S.), University Clinic Leipzig; and Max Planck Institute for Human Cognitive and Brain Sciences (M.L.S.), Leipzig, Germany
| | - Markus Otto
- From the Department of Neurology (P.S., S.A.-S., E.S., I.U., C.A.F.v.A., J. Kassubek, B.L., P.O., A.C.L., M.O.) and Institute of Epidemiology and Medical Biometry (B.M.), University of Ulm; Department of Psychiatry and Psychotherapy (J.D.-S., H.F., T.G.), Klinikum Rechts der Isar, Technical University of Munich; Department of Nuclear Medicine (H.B.), Leipzig University Hospital; Department of Neurology (A.D.), Ludwig-Maximilians-University, Munich; Department of Neurology (K.F.), Saarland University, Homburg; Department of Psychiatry and Psychotherapy (K.F.), University of Bonn, Germany; Swiss Epilepsy Center (H.-J.H.), Zurich, Switzerland; Department of Psychiatry and Psychotherapy (H.J.), University Medical Center Hamburg-Eppendorf, Hamburg; AMEOS Klinikum (H.J.), Heiligenhafen; Department of Psychiatry and Psychotherapy (J. Kornhuber, J.M.M.), Friedrich-Alexander-University of Erlangen-Nuremberg, Erlangen; Department of Psychiatry and Psychotherapy (M.L.), University of Würzburg; Department of Neurology (J.P.), University of Rostock; DZNE (J.P.), Rostock; Department of Neurodegenerative Diseases and Geriatric Psychiatry (A.S.), University Hospital Bonn; DZNE (A.S.), Bonn; Institute of Human Genetics (A.E.V.), University Medical Center Hamburg-Eppendorf, Hamburg; Department of Psychiatry and Psychotherapy (J.W.), University Medical Center Göttingen; DZNE (J.W.), Göttingen, Germany; iBiMED (J.W.), Medical Sciences Department, University of Aveiro, Portugal; Clinic for Cognitive Neurology (M.L.S.), University Clinic Leipzig; and Max Planck Institute for Human Cognitive and Brain Sciences (M.L.S.), Leipzig, Germany.
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Schreiber S, Spotorno N, Schreiber F, Acosta-Cabronero J, Kaufmann J, Machts J, Debska-Vielhaber G, Garz C, Bittner D, Hensiek N, Dengler R, Petri S, Nestor PJ, Vielhaber S. Significance of CSF NfL and tau in ALS. J Neurol 2018; 265:2633-2645. [DOI: 10.1007/s00415-018-9043-0] [Citation(s) in RCA: 38] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2018] [Revised: 06/25/2018] [Accepted: 08/30/2018] [Indexed: 01/01/2023]
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Khalil M, Teunissen CE, Otto M, Piehl F, Sormani MP, Gattringer T, Barro C, Kappos L, Comabella M, Fazekas F, Petzold A, Blennow K, Zetterberg H, Kuhle J. Neurofilaments as biomarkers in neurological disorders. Nat Rev Neurol 2018; 14:577-589. [DOI: 10.1038/s41582-018-0058-z] [Citation(s) in RCA: 767] [Impact Index Per Article: 127.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
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