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Olofsson J, Bergström S, Mravinacová S, Kläppe U, Öijerstedt L, Zetterberg H, Blennow K, Ingre C, Nilsson P, Månberg A. Cerebrospinal fluid levels of NfM in relation to NfL and pNfH as prognostic markers in amyotrophic lateral sclerosis. Amyotroph Lateral Scler Frontotemporal Degener 2025; 26:113-123. [PMID: 39575564 DOI: 10.1080/21678421.2024.2428930] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2024] [Revised: 10/28/2024] [Accepted: 11/04/2024] [Indexed: 01/18/2025]
Abstract
OBJECTIVE To evaluate the prognostic potential of neurofilament medium chain (NfM) in CSF from patients with ALS and explore its relationship with the extensively studied neurofilament light chain (NfL) and phosphorylated heavy chain (pNfH). METHOD CSF levels of NfL, NfM, and pNfH were analyzed in 235 samples from patients with ALS, ALS mimics, and healthy controls in a well-characterized cohort from Karolinska ALS Clinical Research Center in Stockholm, Sweden. NfM levels were analyzed using an antibody-based suspension bead-array and NfL and pNfH levels were measured using ELISA. Clinical data, including ALS Revised Functional Rating Scale (ALSFRS-R), and survival outcomes were utilized for disease progression estimations. RESULT Increased NfM levels were observed in patients with ALS compared with mimics and healthy controls. Similarly, higher NfM levels were found in fast compared with slow progressing patients for baseline and longitudinal progression when evaluating both total and subscores of ALSFRS-R. These findings were consistent with the results observed for NfL and pNfH. All three proteins, used individually as well as in combination, showed comparable performance when classifying fast vs slow progressing patients (AUCs 0.78-0.85). For all neurofilaments, higher survival probability was observed for patients with low CSF levels. CONCLUSION Based on this cross-sectional study, the prognostic value provided by NfM aligns with the more established markers, NfL and pNfH. Additional investigations with independent cohorts and longitudinal studies are needed to further assess the potential added value of NfM.
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Affiliation(s)
- Jennie Olofsson
- Department of Protein Science, KTH Royal Institute of Technology, SciLifeLab, Stockholm, Sweden
| | - Sofia Bergström
- Department of Protein Science, KTH Royal Institute of Technology, SciLifeLab, Stockholm, Sweden
| | - Sára Mravinacová
- Department of Protein Science, KTH Royal Institute of Technology, SciLifeLab, Stockholm, Sweden
| | - Ulf Kläppe
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
- Department of Neurology, Karolinska University Hospital, Stockholm, Sweden
| | - Linn Öijerstedt
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
- Department of Neurology, Karolinska University Hospital, Stockholm, Sweden
| | - 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, Queen Square, London, UK
- UK Dementia Research Institute at UCL, London, UK
- Hong Kong Center for Neurodegenerative Diseases, Clear Water Bay, 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
| | - 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, and
- 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
| | - Caroline Ingre
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
- Department of Neurology, Karolinska University Hospital, Stockholm, Sweden
| | - Peter Nilsson
- Department of Protein Science, KTH Royal Institute of Technology, SciLifeLab, Stockholm, Sweden
| | - Anna Månberg
- Department of Protein Science, KTH Royal Institute of Technology, SciLifeLab, Stockholm, Sweden
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2
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De Paoli LF, Kirkcaldie MTK, King AE, Collins JM. Neurofilament heavy phosphorylated epitopes as biomarkers in ageing and neurodegenerative disease. J Neurochem 2024. [PMID: 39556118 DOI: 10.1111/jnc.16261] [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: 06/17/2024] [Revised: 10/22/2024] [Accepted: 10/24/2024] [Indexed: 11/19/2024]
Abstract
From the day we are born, the nervous system is subject to insult, disease and degeneration. Aberrant phosphorylation states in neurofilaments, the major intermediate filaments of the neuronal cytoskeleton, accompany and mediate many pathological processes in degenerative disease. Neuronal damage, degeneration and death can release these internal components to the extracellular space and eventually the cerebrospinal fluid and blood. Sophisticated assay techniques are increasingly able to detect their presence and phosphorylation states at very low levels, increasing their utility as biomarkers and providing insights and differential diagnosis for the earliest stages of disease. Although a variety of studies focus on single or small clusters of neurofilament phosphorylated epitopes, this review offers a wider perspective of the phosphorylation landscape of the neurofilament heavy subunit, a major intermediate filament component in both ageing and disease.
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Affiliation(s)
- Laura F De Paoli
- Wicking Dementia Research and Education Centre, University of Tasmania, Hobart, Tasmania, Australia
| | - Matthew T K Kirkcaldie
- Wicking Dementia Research and Education Centre, University of Tasmania, Hobart, Tasmania, Australia
| | - Anna E King
- Wicking Dementia Research and Education Centre, University of Tasmania, Hobart, Tasmania, Australia
| | - Jessica M Collins
- Wicking Dementia Research and Education Centre, University of Tasmania, Hobart, Tasmania, Australia
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3
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Bova V, Mannino D, Capra AP, Lanza M, Palermo N, Filippone A, Esposito E. CK and LRRK2 Involvement in Neurodegenerative Diseases. Int J Mol Sci 2024; 25:11661. [PMID: 39519213 PMCID: PMC11546471 DOI: 10.3390/ijms252111661] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2024] [Revised: 10/21/2024] [Accepted: 10/27/2024] [Indexed: 11/16/2024] Open
Abstract
Neurodegenerative diseases (NDDs) are currently the most widespread neuronal pathologies in the world. Among these, the most widespread are Alzheimer's disease (AD), dementia, Parkinson's disease (PD), amyotrophic lateral sclerosis (ALS), and Huntington's disease (HD)-all characterized by a progressive loss of neurons in specific regions of the brain leading to varied clinical symptoms. At the basis of neurodegenerative diseases, an emerging role is played by genetic mutations in the leucine-rich repeat kinase 2 (LRRK2) gene that cause increased LRRK2 activity with consequent alteration of neuronal autophagy pathways. LRRK2 kinase activity requires GTPase activity which functions independently of kinase activity and is required for neurotoxicity and to potentiate neuronal death. Important in the neurodegeneration process is the upregulation of casein kinase (CK), which causes the alteration of the AMPK pathway by enhancing the phosphorylation of α-synuclein and huntingtin proteins, known to be involved in PD and HD, and increasing the accumulation of the amyloid-β protein (Aβ) for AD. Recent research has identified CK of the kinases upstream of LRRK2 as a regulator of the stability of the LRRK2 protein. Based on this evidence, this review aims to understand the direct involvement of individual kinases in NDDs and how their crosstalk may impact the pathogenesis and early onset of neurodegenerative diseases.
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Affiliation(s)
- Valentina Bova
- Department of Chemical, Biological, Pharmaceuticals and Environmental Sciences, University of Messina, Viale Stagno d’Alcontres, 98166 Messina, Italy; (V.B.); (D.M.); (A.P.C.); (M.L.); (E.E.)
| | - Deborah Mannino
- Department of Chemical, Biological, Pharmaceuticals and Environmental Sciences, University of Messina, Viale Stagno d’Alcontres, 98166 Messina, Italy; (V.B.); (D.M.); (A.P.C.); (M.L.); (E.E.)
| | - Anna Paola Capra
- Department of Chemical, Biological, Pharmaceuticals and Environmental Sciences, University of Messina, Viale Stagno d’Alcontres, 98166 Messina, Italy; (V.B.); (D.M.); (A.P.C.); (M.L.); (E.E.)
| | - Marika Lanza
- Department of Chemical, Biological, Pharmaceuticals and Environmental Sciences, University of Messina, Viale Stagno d’Alcontres, 98166 Messina, Italy; (V.B.); (D.M.); (A.P.C.); (M.L.); (E.E.)
| | - Nicoletta Palermo
- Department of Biochemical, Dental, Morphological and Functional Imaging, University of Messina, Via Consolare Valeria, 98125 Messina, Italy;
| | - Alessia Filippone
- Department of Chemical, Biological, Pharmaceuticals and Environmental Sciences, University of Messina, Viale Stagno d’Alcontres, 98166 Messina, Italy; (V.B.); (D.M.); (A.P.C.); (M.L.); (E.E.)
| | - Emanuela Esposito
- Department of Chemical, Biological, Pharmaceuticals and Environmental Sciences, University of Messina, Viale Stagno d’Alcontres, 98166 Messina, Italy; (V.B.); (D.M.); (A.P.C.); (M.L.); (E.E.)
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Petzold A. Neurofilament Isoform Promoter-Driven Expression of Therapeutic Genes. Transl Vis Sci Technol 2024; 13:30. [PMID: 39348135 PMCID: PMC11441448 DOI: 10.1167/tvst.13.9.30] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/01/2024] Open
Affiliation(s)
- Axel Petzold
- Moorfields Eye Hospital & UCL, London, UK
- Department of Ophthalmology, Amsterdam UMC, Amsterdam, Netherlands. e-mail:
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5
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Mousele C, Holden D, Gnanapavan S. Neurofilaments in neurologic disease. Adv Clin Chem 2024; 123:65-128. [PMID: 39181624 DOI: 10.1016/bs.acc.2024.06.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/27/2024]
Abstract
Neurofilaments (NFs), major cytoskeletal constituents of neurons, have emerged as universal biomarkers of neuronal injury. Neuroaxonal damage underlies permanent disability in various neurological conditions. It is crucial to accurately quantify and longitudinally monitor this damage to evaluate disease progression, evaluate treatment effectiveness, contribute to novel treatment development, and offer prognostic insights. Neurofilaments show promise for this purpose, as their levels increase with neuroaxonal damage in both cerebrospinal fluid and blood, independent of specific causal pathways. New assays with high sensitivity allow reliable measurement of neurofilaments in body fluids and open avenues to investigate their role in neurological disorders. This book chapter will delve into the evolving landscape of neurofilaments, starting with their structure and cellular functions within neurons. It will then provide a comprehensive overview of their broad clinical value as biomarkers in diseases affecting the central or peripheral nervous system.
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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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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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Baka P, Steenken L, Escolano‐Lozano F, Steffen F, Papagianni A, Sommer C, Pogatzki‐Zahn E, Hirsch S, Protopapa M, Bittner S, Birklein F. Studying serum neurofilament light chain levels as a potential new biomarker for small fiber neuropathy. Eur J Neurol 2024; 31:e16192. [PMID: 38189534 PMCID: PMC11235889 DOI: 10.1111/ene.16192] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2023] [Revised: 12/01/2023] [Accepted: 12/11/2023] [Indexed: 01/09/2024]
Abstract
BACKGROUND AND PURPOSE Diagnosing small fiber neuropathies can be challenging. To address this issue, whether serum neurofilament light chain (sNfL) could serve as a potential biomarker of damage to epidermal Aδ- and C-fibers was tested. METHODS Serum NfL levels were assessed in 30 patients diagnosed with small fiber neuropathy and were compared to a control group of 19 healthy individuals. Electrophysiological studies, quantitative sensory testing and quantification of intraepidermal nerve fiber density after skin biopsy were performed in both the proximal and distal leg. RESULTS Serum NfL levels were not increased in patients with small fiber neuropathy compared to healthy controls (9.1 ± 3.9 and 9.4 ± 3.8, p = 0.83) and did not correlate with intraepidermal nerve fiber density at the lateral calf or lateral thigh or with other parameters of small fiber impairment. CONCLUSION Serum NfL levels cannot serve as a biomarker for small fiber damage.
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Affiliation(s)
- Panoraia Baka
- Department of NeurologyUniversity Medical Center of the Johannes Gutenberg University MainzMainzGermany
| | - Livia Steenken
- Department of NeurologyUniversity Medical Center of the Johannes Gutenberg University MainzMainzGermany
| | - Fabiola Escolano‐Lozano
- Department of NeurologyUniversity Medical Center of the Johannes Gutenberg University MainzMainzGermany
| | - Falk Steffen
- Department of NeurologyUniversity Medical Center of the Johannes Gutenberg University MainzMainzGermany
| | | | - Claudia Sommer
- Department of NeurologyUniversity Hospital of WürzburgWürzburgGermany
| | - Esther Pogatzki‐Zahn
- Department of Anaesthesiology, Intensive Care and Pain MedicineUniversity Hospital MünsterMünsterGermany
| | - Silke Hirsch
- Department of NeurologyUniversity Medical Center of the Johannes Gutenberg University MainzMainzGermany
| | - Maria Protopapa
- Department of NeurologyUniversity Medical Center of the Johannes Gutenberg University MainzMainzGermany
| | - Stefan Bittner
- Department of NeurologyUniversity Medical Center of the Johannes Gutenberg University MainzMainzGermany
| | - Frank Birklein
- Department of NeurologyUniversity Medical Center of the Johannes Gutenberg University MainzMainzGermany
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McMackin R, Bede P, Ingre C, Malaspina A, Hardiman O. Biomarkers in amyotrophic lateral sclerosis: current status and future prospects. Nat Rev Neurol 2023; 19:754-768. [PMID: 37949994 DOI: 10.1038/s41582-023-00891-2] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/09/2023] [Indexed: 11/12/2023]
Abstract
Disease heterogeneity in amyotrophic lateral sclerosis poses a substantial challenge in drug development. Categorization based on clinical features alone can help us predict the disease course and survival, but quantitative measures are also needed that can enhance the sensitivity of the clinical categorization. In this Review, we describe the emerging landscape of diagnostic, categorical and pharmacodynamic biomarkers in amyotrophic lateral sclerosis and their place in the rapidly evolving landscape of new therapeutics. Fluid-based markers from cerebrospinal fluid, blood and urine are emerging as useful diagnostic, pharmacodynamic and predictive biomarkers. Combinations of imaging measures have the potential to provide important diagnostic and prognostic information, and neurophysiological methods, including various electromyography-based measures and quantitative EEG-magnetoencephalography-evoked responses and corticomuscular coherence, are generating useful diagnostic, categorical and prognostic markers. Although none of these biomarker technologies has been fully incorporated into clinical practice or clinical trials as a primary outcome measure, strong evidence is accumulating to support their clinical utility.
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Affiliation(s)
- Roisin McMackin
- Discipline of Physiology, School of Medicine, Trinity Biomedical Sciences Institute, Trinity College Dublin, The University of Dublin, Dublin, Ireland
- Academic Unit of Neurology, School of Medicine, Trinity Biomedical Sciences Institute, Trinity College Dublin, The University of Dublin, Dublin, Ireland
| | - Peter Bede
- Academic Unit of Neurology, School of Medicine, Trinity Biomedical Sciences Institute, Trinity College Dublin, The University of Dublin, Dublin, Ireland
- Computational Neuroimaging Group, School of Medicine, Trinity College Dublin, The University of Dublin, Dublin, Ireland
- Department of Neurology, St James's Hospital, Dublin, Ireland
| | - Caroline Ingre
- Department of Neuroscience, Karolinska Institute, Stockholm, Sweden
- Department of Neurology, Karolinska University Hospital, Stockholm, Sweden
| | - Andrea Malaspina
- Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Orla Hardiman
- Academic Unit of Neurology, School of Medicine, Trinity Biomedical Sciences Institute, Trinity College Dublin, The University of Dublin, Dublin, Ireland.
- Department of Neurology, Beaumont Hospital, Dublin, Ireland.
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10
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Petzold A. The 2022 Lady Estelle Wolfson lectureship on neurofilaments. J Neurochem 2022; 163:179-219. [PMID: 35950263 PMCID: PMC9826399 DOI: 10.1111/jnc.15682] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Revised: 07/19/2022] [Accepted: 07/21/2022] [Indexed: 01/11/2023]
Abstract
Neurofilament proteins (Nf) have been validated and established as a reliable body fluid biomarker for neurodegenerative pathology. This review covers seven Nf isoforms, Nf light (NfL), two splicing variants of Nf medium (NfM), two splicing variants of Nf heavy (NfH),α -internexin (INA) and peripherin (PRPH). The genetic and epigenetic aspects of Nf are discussed as relevant for neurodegenerative diseases and oncology. The comprehensive list of mutations for all Nf isoforms covers Amyotrophic Lateral Sclerosis, Charcot-Marie Tooth disease, Spinal muscular atrophy, Parkinson Disease and Lewy Body Dementia. Next, emphasis is given to the expanding field of post-translational modifications (PTM) of the Nf amino acid residues. Protein structural aspects are reviewed alongside PTMs causing neurodegenerative pathology and human autoimmunity. Molecular visualisations of NF PTMs, assembly and stoichiometry make use of Alphafold2 modelling. The implications for Nf function on the cellular level and axonal transport are discussed. Neurofilament aggregate formation and proteolytic breakdown are reviewed as relevant for biomarker tests and disease. Likewise, Nf stoichiometry is reviewed with regard to in vitro experiments and as a compensatory mechanism in neurodegeneration. The review of Nf across a spectrum of 87 diseases from all parts of medicine is followed by a critical appraisal of 33 meta-analyses on Nf body fluid levels. The review concludes with considerations for clinical trial design and an outlook for future research.
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Affiliation(s)
- Axel Petzold
- Department of NeurodegenerationQueen Square Insitute of Neurology, UCLLondonUK
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11
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Sturmey E, Malaspina A. Blood biomarkers in ALS: challenges, applications and novel frontiers. Acta Neurol Scand 2022; 146:375-388. [PMID: 36156207 PMCID: PMC9828487 DOI: 10.1111/ane.13698] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2022] [Revised: 08/15/2022] [Accepted: 08/19/2022] [Indexed: 01/12/2023]
Abstract
Amyotrophic lateral sclerosis (ALS) is the most common motor neuron disease among adults. With diagnosis reached relatively late into the disease process, extensive motor cell loss narrows the window for therapeutic opportunities. Clinical heterogeneity in ALS and the lack of disease-specific biomarkers have so far led to large-sized clinical trials with long follow-up needed to define clinical outcomes. In advanced ALS patients, there is presently limited scope to use imaging or invasive cerebrospinal fluid (CSF) collection as a source of disease biomarkers. The development of more patient-friendly and accessible blood biomarker assays is hampered by analytical hurdles like the matrix effect of blood components. However, blood also provides the opportunity to identify disease-specific adaptive changes of the stoichiometry and conformation of target proteins and the endogenous immunological response to low-abundance brain peptides, such as neurofilaments (Nf). Among those biomarkers under investigation in ALS, the change in concentration before or after diagnosis of Nf has been shown to aid prognostication and to allow the a priori stratification of ALS patients into smaller sized and clinically more homogeneous cohorts, supporting more affordable clinical trials. Here, we discuss the technical hurdles affecting reproducible and sensitive biomarker measurement in blood. We also summarize the state of the art of non-CSF biomarkers in the study of prognosis, disease progression, and treatment response. We will then address the potential as disease-specific biomarkers of the newly discovered cryptic peptides which are formed down-stream of TDP-43 loss of function, the hallmark of ALS pathobiology.
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Affiliation(s)
- Ellie Sturmey
- Centre of Neuroscience, Surgery and Trauma, Queen Mary University of London, London, UK
| | - Andrea Malaspina
- Centre of Neuroscience, Surgery and Trauma, Queen Mary University of London, London, UK.,Queen Square Institute of Neurology, University College London, London, UK
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12
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Theunissen F, Anderton RS, Mastaglia FL, James I, Bedlack R, Akkari PA. Intronic NEFH variant is associated with reduced risk for sporadic ALS and later age of disease onset. Sci Rep 2022; 12:14739. [PMID: 36042248 PMCID: PMC9427846 DOI: 10.1038/s41598-022-18942-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Accepted: 08/22/2022] [Indexed: 11/30/2022] Open
Abstract
Neurofilament heavy (NEFH) is one of the critical proteins required for the formation of the neuronal cytoskeleton and polymorphisms in NEFH are reported as a rare cause of sporadic ALS (sALS). In the current study, a candidate tetranucleotide (TTTA) repeat variant in NEFH was selected using an in-silico short structural variant (SSV) evaluation algorithm and investigated in two cohorts of North American sALS patients, both separately and combined (Duke cohort n = 138, Coriell cohort n = 333; combined cohort n = 471), compared to a group of healthy controls from the Coriell Institute biobank (n = 496). Stratification according to site of disease onset revealed that the 9 TTTA allele was associated with reduced disease risk, specifically confined to spinal-onset sALS patients in the Duke cohort (p = 0.001). Furthermore, carriage of the 10 TTTA allele was associated with a 2.7 year later age of disease onset in the larger combined sALS cohort (p = 0.02). These results suggest that the 9 and 10 TTTA motif length may have a protective advantage for potentially lowering the risk of sALS and delaying the age of disease onset, however, these results need to be replicated in larger multicenter and multi-ethnic cohorts.
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Affiliation(s)
- Frances Theunissen
- Perron Institute for Neurological and Translational Science, First floor, RR block, QEII Medical Centre, 8 Verdun St, Nedlands, WA, 6009, Australia.,Centre for Molecular Medicine and Innovative Therapeutics, Murdoch University, Perth, WA, Australia
| | - Ryan S Anderton
- Perron Institute for Neurological and Translational Science, First floor, RR block, QEII Medical Centre, 8 Verdun St, Nedlands, WA, 6009, Australia.,Centre for Neuromuscular and Neurological Disorders, University of Western Australia, Nedlands, WA, Australia.,School of Health Sciences and Institute for Health Research, University of Notre Dame Australia, Fremantle, WA, Australia
| | - Frank L Mastaglia
- Perron Institute for Neurological and Translational Science, First floor, RR block, QEII Medical Centre, 8 Verdun St, Nedlands, WA, 6009, Australia.,Centre for Neuromuscular and Neurological Disorders, University of Western Australia, Nedlands, WA, Australia
| | - Ian James
- Institute for Immunology and Infectious Diseases, Murdoch University, Perth, WA, Australia
| | | | - P Anthony Akkari
- Perron Institute for Neurological and Translational Science, First floor, RR block, QEII Medical Centre, 8 Verdun St, Nedlands, WA, 6009, Australia. .,Centre for Neuromuscular and Neurological Disorders, University of Western Australia, Nedlands, WA, Australia. .,Centre for Molecular Medicine and Innovative Therapeutics, Murdoch University, Perth, WA, Australia. .,Department of Neurology, Duke University, Durham, NC, USA.
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13
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van der Ende EL, Bron EE, Poos JM, Jiskoot LC, Panman JL, Papma JM, Meeter LH, Dopper EGP, Wilke C, Synofzik M, Heller C, Swift IJ, Sogorb-Esteve A, Bouzigues A, Borroni B, Sanchez-Valle R, Moreno F, Graff C, Laforce R, Galimberti D, Masellis M, Tartaglia MC, Finger E, Vandenberghe R, Rowe JB, de Mendonça A, Tagliavini F, Santana I, Ducharme S, Butler CR, Gerhard A, Levin J, Danek A, Otto M, Pijnenburg YAL, Sorbi S, Zetterberg H, Niessen WJ, Rohrer JD, Klein S, van Swieten JC, Venkatraghavan V, Seelaar H. A data-driven disease progression model of fluid biomarkers in genetic frontotemporal dementia. Brain 2022; 145:1805-1817. [PMID: 34633446 PMCID: PMC9166533 DOI: 10.1093/brain/awab382] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2021] [Revised: 08/22/2021] [Accepted: 09/09/2021] [Indexed: 11/17/2022] Open
Abstract
Several CSF and blood biomarkers for genetic frontotemporal dementia have been proposed, including those reflecting neuroaxonal loss (neurofilament light chain and phosphorylated neurofilament heavy chain), synapse dysfunction [neuronal pentraxin 2 (NPTX2)], astrogliosis (glial fibrillary acidic protein) and complement activation (C1q, C3b). Determining the sequence in which biomarkers become abnormal over the course of disease could facilitate disease staging and help identify mutation carriers with prodromal or early-stage frontotemporal dementia, which is especially important as pharmaceutical trials emerge. We aimed to model the sequence of biomarker abnormalities in presymptomatic and symptomatic genetic frontotemporal dementia using cross-sectional data from the Genetic Frontotemporal dementia Initiative (GENFI), a longitudinal cohort study. Two-hundred and seventy-five presymptomatic and 127 symptomatic carriers of mutations in GRN, C9orf72 or MAPT, as well as 247 non-carriers, were selected from the GENFI cohort based on availability of one or more of the aforementioned biomarkers. Nine presymptomatic carriers developed symptoms within 18 months of sample collection ('converters'). Sequences of biomarker abnormalities were modelled for the entire group using discriminative event-based modelling (DEBM) and for each genetic subgroup using co-initialized DEBM. These models estimate probabilistic biomarker abnormalities in a data-driven way and do not rely on previous diagnostic information or biomarker cut-off points. Using cross-validation, subjects were subsequently assigned a disease stage based on their position along the disease progression timeline. CSF NPTX2 was the first biomarker to become abnormal, followed by blood and CSF neurofilament light chain, blood phosphorylated neurofilament heavy chain, blood glial fibrillary acidic protein and finally CSF C3b and C1q. Biomarker orderings did not differ significantly between genetic subgroups, but more uncertainty was noted in the C9orf72 and MAPT groups than for GRN. Estimated disease stages could distinguish symptomatic from presymptomatic carriers and non-carriers with areas under the curve of 0.84 (95% confidence interval 0.80-0.89) and 0.90 (0.86-0.94) respectively. The areas under the curve to distinguish converters from non-converting presymptomatic carriers was 0.85 (0.75-0.95). Our data-driven model of genetic frontotemporal dementia revealed that NPTX2 and neurofilament light chain are the earliest to change among the selected biomarkers. Further research should investigate their utility as candidate selection tools for pharmaceutical trials. The model's ability to accurately estimate individual disease stages could improve patient stratification and track the efficacy of therapeutic interventions.
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Affiliation(s)
- Emma L van der Ende
- Department of Neurology and Alzheimer Center, Erasmus University Medical Center, 3015 GD Rotterdam, The Netherlands
| | - Esther E Bron
- Department of Radiology and Nuclear Medicine, Erasmus University Medical Center, 3015 GD Rotterdam, The Netherlands
| | - Jackie M Poos
- Department of Neurology and Alzheimer Center, Erasmus University Medical Center, 3015 GD Rotterdam, The Netherlands
| | - Lize C Jiskoot
- Department of Neurology and Alzheimer Center, Erasmus University Medical Center, 3015 GD Rotterdam, The Netherlands
| | - Jessica L Panman
- Department of Neurology and Alzheimer Center, Erasmus University Medical Center, 3015 GD Rotterdam, The Netherlands
| | - Janne M Papma
- Department of Neurology and Alzheimer Center, Erasmus University Medical Center, 3015 GD Rotterdam, The Netherlands
| | - Lieke H Meeter
- Department of Neurology and Alzheimer Center, Erasmus University Medical Center, 3015 GD Rotterdam, The Netherlands
| | - Elise G P Dopper
- Department of Neurology and Alzheimer Center, Erasmus University Medical Center, 3015 GD Rotterdam, The Netherlands
| | - Carlo Wilke
- German Center for Neurodegenerative Diseases (DZNE), 72076 Tübingen, Germany
- Department of Neurodegenerative Diseases, Hertie Institute for Clinical Brain Research and Center of Neurology, University of Tübingen, 72076 Tübingen, Germany
| | - Matthis Synofzik
- German Center for Neurodegenerative Diseases (DZNE), 72076 Tübingen, Germany
- Department of Neurodegenerative Diseases, Hertie Institute for Clinical Brain Research and Center of Neurology, University of Tübingen, 72076 Tübingen, Germany
| | - Carolin Heller
- UK Dementia Research Institute at University College London, UCL Institute of Neurology, Queen Square, WC1N 3BG London, UK
| | - Imogen J Swift
- UK Dementia Research Institute at University College London, UCL Institute of Neurology, Queen Square, WC1N 3BG London, UK
| | - Aitana Sogorb-Esteve
- UK Dementia Research Institute at University College London, UCL Institute of Neurology, Queen Square, WC1N 3BG London, UK
- Department of Neurodegenerative Disease, Dementia Research Centre, UCL Institute of Neurology, Queen Square, WC1N 3BG London, UK
| | - Arabella Bouzigues
- Department of Neurodegenerative Disease, Dementia Research Centre, UCL Institute of Neurology, Queen Square, WC1N 3BG London, UK
| | - Barbara Borroni
- Centre for Neurodegenerative Disorders, Department of Clinical and Experimental Sciences, University of Brescia, 25121 Brescia, Italy
| | - Raquel Sanchez-Valle
- Alzheimer’s Disease and Other Cognitive Disorders Unit, Neurology Service, Hospital Clinic, IDIBAPS, University of Barcelona, 08036 Barcelona, Spain
| | - Fermin Moreno
- Cognitive Disorders Unit, Department of Neurology, Donostia University Hospital, San Sebastian, 20014 Gipuzkoa, Spain
- Neuroscience Area, Biodonostia Health Research Institute, San Sebastian, Gipuzkoa, Spain
| | - Caroline Graff
- Center for Alzheimer Research, Division of Neurogeriatrics, Department of Neurobiology, Care Sciences and Society, Bioclinicum, Karolinska Institutet, 17176 Solna, Sweden
- Unit for Hereditary Dementias, Theme Aging, Karolinska University Hospital, 17176 Solna, Sweden
| | - Robert Laforce
- Clinique Interdisciplinaire de Mémoire, Département des Sciences Neurologiques, CHU de Québec, Université Laval, G1Z 1J4 Québec, Canada
| | - Daniela Galimberti
- Centro Dino Ferrari, University of Milan, 20122 Milan, Italy
- Neurodegenerative Diseases Unit, Fondazione IRCCS, Ospedale Maggiore Policlinico, 20122 Milan, Italy
| | - Mario Masellis
- Sunnybrook Health Sciences Centre, Sunnybrook Research Institute, University of Toronto, ON M4N 3M5 Toronto, Canada
| | - Maria Carmela Tartaglia
- Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, M5S 1A8 Toronto, Canada
| | - Elizabeth Finger
- Department of Clinical Neurological Sciences, University of Western Ontario, ON N6A 3K7 London, Ontario, Canada
| | - Rik Vandenberghe
- Laboratory for Cognitive Neurology, Department of Neurosciences, Leuven Brain Institute, KU Leuven, 3000 Leuven, Belgium
| | - James B Rowe
- Cambridge University Centre for Frontotemporal Dementia, University of Cambridge, CB2 0SZ Cambridge, UK
| | | | | | - Isabel Santana
- Center for Neuroscience and Cell Biology, Faculty of Medicine, University of Coimbra, 3004-504 Coimbra, Portugal
| | - Simon Ducharme
- McConnell Brain Imaging Centre, Montreal Neurological Institute and McGill University Health Centre, McGill University, 3801 Montreal, Québec, Canada
| | - Christopher R Butler
- Nuffield Department of Clinical Neurosciences, Medical Sciences Division, University of Oxford, OX3 9DU Oxford, UK
- Department of Brain Sciences, Imperial College London, SW7 2AZ London, UK
| | - Alexander Gerhard
- Division of Neuroscience and Experimental Psychology, Wolfson Molecular Imaging Centre, University of Manchester, M20 3LJ Manchester, UK
- Department of Nuclear Medicine and Geriatric Medicine, University Hospital Essen, 45 147 Essen, Germany
| | - Johannes Levin
- Neurologische Klinik und Poliklinik, Ludwig-Maximilians-Universität München, 81377 Munich, Germany
- German Center for Neurodegenerative Diseases, 81377 Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), 81377 Munich, Germany
| | - Adrian Danek
- Neurologische Klinik und Poliklinik, Ludwig-Maximilians-Universität München, 81377 Munich, Germany
| | - Markus Otto
- Department of Neurology, University of Ulm, 89081 Ulm, Germany
| | - Yolande A L Pijnenburg
- Department of Neurology, Alzheimer Center, Location VU University Medical Center Amsterdam Neuroscience, Amsterdam University Medical Center, 1105 AZ Amsterdam, The Netherlands
| | - Sandro Sorbi
- Department of Neurofarba, University of Florence, 50139 Florence, Italy
| | - Henrik Zetterberg
- UK Dementia Research Institute at University College London, UCL Institute of Neurology, Queen Square, WC1N 3BG London, UK
- Department of Psychiatry and Neurochemistry, Sahlgrenska Academy at the University of Gothenburg, 405 30 Mölndal, Sweden
| | - Wiro J Niessen
- Department of Radiology and Nuclear Medicine, Erasmus University Medical Center, 3015 GD Rotterdam, The Netherlands
| | - Jonathan D Rohrer
- Department of Neurodegenerative Disease, Dementia Research Centre, UCL Institute of Neurology, Queen Square, WC1N 3BG London, UK
| | - Stefan Klein
- Department of Radiology and Nuclear Medicine, Erasmus University Medical Center, 3015 GD Rotterdam, The Netherlands
| | - John C van Swieten
- Department of Neurology and Alzheimer Center, Erasmus University Medical Center, 3015 GD Rotterdam, The Netherlands
| | - Vikram Venkatraghavan
- Department of Radiology and Nuclear Medicine, Erasmus University Medical Center, 3015 GD Rotterdam, The Netherlands
| | - Harro Seelaar
- Department of Neurology and Alzheimer Center, Erasmus University Medical Center, 3015 GD Rotterdam, The Netherlands
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14
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Wilke C, Reich S, van Swieten JC, Borroni B, Sanchez-Valle R, Moreno F, Laforce R, Graff C, Galimberti D, Rowe JB, Masellis M, Tartaglia MC, Finger E, Vandenberghe R, de Mendonça A, Tagliavini F, Santana I, Ducharme S, Butler CR, Gerhard A, Levin J, Danek A, Otto M, Frisoni G, Ghidoni R, Sorbi S, Bocchetta M, Todd E, Kuhle J, Barro C, Rohrer JD, Synofzik M. Stratifying the Presymptomatic Phase of Genetic Frontotemporal Dementia by Serum NfL and pNfH: A Longitudinal Multicentre Study. Ann Neurol 2021; 91:33-47. [PMID: 34743360 DOI: 10.1002/ana.26265] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2021] [Revised: 11/02/2021] [Accepted: 11/03/2021] [Indexed: 12/20/2022]
Abstract
OBJECTIVE Although the presymptomatic stages of frontotemporal dementia (FTD) provide a unique chance to delay or even prevent neurodegeneration by early intervention, they remain poorly defined. Leveraging a large multicenter cohort of genetic FTD mutation carriers, we provide a biomarker-based stratification and biomarker cascade of the likely most treatment-relevant stage within the presymptomatic phase: the conversion stage. METHODS We longitudinally assessed serum levels of neurofilament light (NfL) and phosphorylated neurofilament heavy (pNfH) in the Genetic FTD Initiative (GENFI) cohort (n = 444), using single-molecule array technique. Subjects comprised 91 symptomatic and 179 presymptomatic subjects with mutations in the FTD genes C9orf72, GRN, or MAPT, and 174 mutation-negative within-family controls. RESULTS In a biomarker cascade, NfL increase preceded the hypothetical clinical onset by 15 years and concurred with brain atrophy onset, whereas pNfH increase started close to clinical onset. The conversion stage was marked by increased NfL, but still normal pNfH levels, while both were increased at the symptomatic stage. Intra-individual change rates were increased for NfL at the conversion stage and for pNfH at the symptomatic stage, highlighting their respective potential as stage-dependent dynamic biomarkers within the biomarker cascade. Increased NfL levels and NfL change rates allowed identification of presymptomatic subjects converting to symptomatic disease and capture of proximity-to-onset. We estimate stage-dependent sample sizes for trials aiming to decrease neurofilament levels or change rates. INTERPRETATION Blood NfL and pNfH provide dynamic stage-dependent stratification and, potentially, treatment response biomarkers in presymptomatic FTD, allowing demarcation of the conversion stage. The proposed biomarker cascade might pave the way towards a biomarker-based precision medicine approach to genetic FTD. ANN NEUROL 2021.
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Affiliation(s)
- Carlo Wilke
- Division Translational Genomics of Neurodegenerative Diseases, Hertie-Institute for Clinical Brain Research and Center of Neurology, University of Tübingen, Tübingen, Germany.,Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany
| | - Selina Reich
- Division Translational Genomics of Neurodegenerative Diseases, Hertie-Institute for Clinical Brain Research and Center of Neurology, University of Tübingen, Tübingen, Germany.,Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany
| | | | - Barbara Borroni
- Centre for Neurodegenerative Disorders, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Raquel Sanchez-Valle
- Alzheimer's disease and Other Cognitive Disorders Unit, Neurology Service, Hospital Clínic, Institut d'Investigacións Biomèdiques August Pi I Sunyer, University of Barcelona, Barcelona, Spain
| | - Fermin Moreno
- Cognitive Disorders Unit, Department of Neurology, Donostia University Hospital, San Sebastian, Spain.,Neuroscience Area, Biodonostia Health Research Institute, San Sebastian, Spain
| | - Robert Laforce
- Clinique Interdisciplinaire de Mémoire, Département des Sciences Neurologiques, CHU de Québec, and Faculté de Médecine, Université Laval, Quebec City, Canada
| | - Caroline Graff
- Center for Alzheimer Research, Division of Neurogeriatrics, Department of Neurobiology, Care Sciences and Society, Bioclinicum, Karolinska Institute, Solna, Sweden.,Unit for Hereditary Dementias, Theme Aging, Karolinska University Hospital, Solna, Sweden
| | - Daniela Galimberti
- Fondazione IRCCS Ospedale Policlinico, Milan, Italy.,University of Milan, Centro Dino Ferrari, Milan, Italy
| | - James B Rowe
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Mario Masellis
- Sunnybrook Health Sciences Centre, Sunnybrook Research Institute, University of Toronto, Toronto, Canada
| | - Maria C Tartaglia
- Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, Canada
| | - Elizabeth Finger
- Department of Clinical Neurological Sciences, University of Western Ontario, London, Canada
| | - Rik Vandenberghe
- Laboratory for Cognitive Neurology, Department of Neurosciences, KU Leuven, Leuven, Belgium.,Neurology Service, University Hospitals Leuven, Leuven, Belgium.,Leuven Brain Institute, KU Leuven, Leuven, Belgium
| | | | | | - Isabel Santana
- University Hospital of Coimbra (HUC), Neurology Service, Faculty of Medicine, University of Coimbra, Coimbra, Portugal.,Center for Neuroscience and Cell Biology, Faculty of Medicine, University of Coimbra, Coimbra, Portugal
| | - Simon Ducharme
- Department of Psychiatry, McGill University Health Centre, McGill University, Montreal, Québec, Canada.,McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Québec, Canada
| | - Chris R Butler
- Nuffield Department of Clinical Neurosciences, Medical Sciences Division, University of Oxford, Oxford, UK.,Department of Brain Sciences, Imperial College London, London, UK
| | - Alexander Gerhard
- Division of Neuroscience and Experimental Psychology, Faculty of Medicine, Biology and Health, University of Manchester, Manchester, UK.,Departments of Geriatric Medicine and Nuclear Medicine, Essen University Hospital, Essen, Germany
| | - Johannes Levin
- Neurologische Klinik, Ludwig-Maximilians-Universität München, Munich, Germany.,German Center for Neurodegenerative Diseases (DZNE), Munich, Germany.,Munich Cluster of Systems Neurology (SyNergy), Munich, Germany
| | - Adrian Danek
- Neurologische Klinik, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Markus Otto
- Department of Neurology, University of Ulm, Ulm, Germany.,Department of Neurology, Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany
| | - Giovanni Frisoni
- Instituto di Ricovero e Cura a Carattere Scientifico Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Roberta Ghidoni
- Molecular Markers Laboratory, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Sandro Sorbi
- Department of Neurofarba, University of Florence, Florence, Italy.,IRCCS Fondazione Don Carlo Gnocchi, Florence, Italy
| | - Martina Bocchetta
- Department of Neurodegenerative Disease, Dementia Research Centre, UCL Institute of Neurology, London, UK
| | - Emily Todd
- Department of Neurodegenerative Disease, Dementia Research Centre, UCL Institute of Neurology, London, UK
| | - Jens Kuhle
- Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel, University of Basel, Basel, Switzerland
| | - Christian Barro
- Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel, University of Basel, Basel, Switzerland.,Department of Neurology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | | | - Jonathan D Rohrer
- Department of Neurodegenerative Disease, Dementia Research Centre, UCL Institute of Neurology, London, UK
| | - Matthis Synofzik
- Division Translational Genomics of Neurodegenerative Diseases, Hertie-Institute for Clinical Brain Research and Center of Neurology, University of Tübingen, Tübingen, Germany.,Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany
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15
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Yuan A, Nixon RA. Neurofilament Proteins as Biomarkers to Monitor Neurological Diseases and the Efficacy of Therapies. Front Neurosci 2021; 15:689938. [PMID: 34646114 PMCID: PMC8503617 DOI: 10.3389/fnins.2021.689938] [Citation(s) in RCA: 122] [Impact Index Per Article: 30.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2021] [Accepted: 09/02/2021] [Indexed: 01/01/2023] Open
Abstract
Biomarkers of neurodegeneration and neuronal injury have the potential to improve diagnostic accuracy, disease monitoring, prognosis, and measure treatment efficacy. Neurofilament proteins (NfPs) are well suited as biomarkers in these contexts because they are major neuron-specific components that maintain structural integrity and are sensitive to neurodegeneration and neuronal injury across a wide range of neurologic diseases. Low levels of NfPs are constantly released from neurons into the extracellular space and ultimately reach the cerebrospinal fluid (CSF) and blood under physiological conditions throughout normal brain development, maturation, and aging. NfP levels in CSF and blood rise above normal in response to neuronal injury and neurodegeneration independently of cause. NfPs in CSF measured by lumbar puncture are about 40-fold more concentrated than in blood in healthy individuals. New ultra-sensitive methods now allow minimally invasive measurement of these low levels of NfPs in serum or plasma to track disease onset and progression in neurological disorders or nervous system injury and assess responses to therapeutic interventions. Any of the five Nf subunits - neurofilament light chain (NfL), neurofilament medium chain (NfM), neurofilament heavy chain (NfH), alpha-internexin (INA) and peripherin (PRPH) may be altered in a given neuropathological condition. In familial and sporadic Alzheimer's disease (AD), plasma NfL levels may rise as early as 22 years before clinical onset in familial AD and 10 years before sporadic AD. The major determinants of elevated levels of NfPs and degradation fragments in CSF and blood are the magnitude of damaged or degenerating axons of fiber tracks, the affected axon caliber sizes and the rate of release of NfP and fragments at different stages of a given neurological disease or condition directly or indirectly affecting central nervous system (CNS) and/or peripheral nervous system (PNS). NfPs are rapidly emerging as transformative blood biomarkers in neurology providing novel insights into a wide range of neurological diseases and advancing clinical trials. Here we summarize the current understanding of intracellular NfP physiology, pathophysiology and extracellular kinetics of NfPs in biofluids and review the value and limitations of NfPs and degradation fragments as biomarkers of neurodegeneration and neuronal injury.
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Affiliation(s)
- Aidong Yuan
- Center for Dementia Research, Nathan Kline Institute, Orangeburg, NY, United States
- Department of Psychiatry, NYU Neuroscience Institute, New York, NY, United States
| | - Ralph A. Nixon
- Center for Dementia Research, Nathan Kline Institute, Orangeburg, NY, United States
- Department of Psychiatry, NYU Neuroscience Institute, New York, NY, United States
- Department of Cell Biology, New York University Grossman School of Medicine, (NYU), Neuroscience Institute, New York, NY, United States
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16
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Puentes F, Lombardi V, Lu CH, Yildiz O, Fratta P, Isaacs A, Bobeva Y, Wuu J, Benatar M, Malaspina A. Humoral response to neurofilaments and dipeptide repeats in ALS progression. Ann Clin Transl Neurol 2021; 8:1831-1844. [PMID: 34318620 PMCID: PMC8419401 DOI: 10.1002/acn3.51428] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2021] [Revised: 06/24/2021] [Accepted: 06/25/2021] [Indexed: 12/16/2022] Open
Abstract
Objective To appraise the utility as biomarkers of blood antibodies and immune complexes to neurofilaments and dipeptide repeat proteins, the products of translation of the most common genetic mutation in amyotrophic lateral sclerosis (ALS). Methods Antibodies and immune complexes against neurofilament light, medium, heavy chains as well as poly‐(GP)‐(GR) dipeptide repeats were measured in blood samples from the ALS Biomarkers (n = 107) and the phenotype–genotype biomarker (n = 129) studies and in 140 healthy controls. Target analyte levels were studied longitudinally in 37 ALS cases. Participants were stratified according to the rate of disease progression estimated before and after baseline and C9orf72 genetic status. Survival and longitudinal analyses were undertaken with reference to matched neurofilament protein expression. Results Compared to healthy controls, total neurofilament proteins and antibodies, neurofilament light immune complexes (p < 0.0001), and neurofilament heavy antibodies (p = 0.0061) were significantly elevated in ALS, patients with faster progressing disease (p < 0.0001) and in ALS cases with a C9orf72 mutation (p < 0.0003). Blood neurofilament light protein discriminated better ALS from healthy controls (AUC: 0.92; p < 0.0001) and faster from slower progressing ALS (AUC: 0.86; p < 0.0001) compared to heavy‐chain antibodies and light‐chain immune complexes (AUC: 0.79; p < 0.0001 and AUC: 0.74; p < 0.0001). Lower neurofilament heavy antibodies were associated with longer survival (Log‐rank Chi‐square: 7.39; p = 0.0065). Increasing levels of antibodies and immune complexes between time points were observed in faster progressing ALS. Conclusions We report a distinctive humoral response characterized by raising antibodies against neurofilaments and dipeptide repeats in faster progressing and C9orf72 genetic mutation carriers ALS patients. We confirm the significance of plasma neurofilament proteins in the clinical stratification of ALS.
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Affiliation(s)
- Fabiola Puentes
- Neurodegeneration Group, Blizard Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, E1 2AT, United Kingdom.,Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, University College London, London, WC1N 3BG, United Kingdom
| | - Vittoria Lombardi
- Neurodegeneration Group, Blizard Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, E1 2AT, United Kingdom.,Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, University College London, London, WC1N 3BG, United Kingdom
| | - Ching-Hua Lu
- Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, University College London, London, WC1N 3BG, United Kingdom.,School of Medicine, China Medical University, 91 Xueshi Road, North District, Taichung City, 404, Taiwan
| | - Ozlem Yildiz
- Neurodegeneration Group, Blizard Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, E1 2AT, United Kingdom.,Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, University College London, London, WC1N 3BG, United Kingdom
| | - Pietro Fratta
- Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, University College London, London, WC1N 3BG, United Kingdom
| | - Adrian Isaacs
- Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, University College London, London, WC1N 3BG, United Kingdom
| | - Yoana Bobeva
- Neurodegeneration Group, Blizard Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, E1 2AT, United Kingdom.,Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, University College London, London, WC1N 3BG, United Kingdom
| | - Joanne Wuu
- Department of Neurology, University of Miami, Miami, Florida, USA
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- Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, University College London, London, WC1N 3BG, United Kingdom
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- Department of Neurology, University of Miami, Miami, Florida, USA
| | - Michael Benatar
- Department of Neurology, University of Miami, Miami, Florida, USA
| | - Andrea Malaspina
- Neurodegeneration Group, Blizard Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, E1 2AT, United Kingdom.,Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, University College London, London, WC1N 3BG, United Kingdom
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17
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Barro C, Chitnis T, Weiner HL. Blood neurofilament light: a critical review of its application to neurologic disease. Ann Clin Transl Neurol 2020; 7:2508-2523. [PMID: 33146954 PMCID: PMC7732243 DOI: 10.1002/acn3.51234] [Citation(s) in RCA: 149] [Impact Index Per Article: 29.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2020] [Accepted: 10/12/2020] [Indexed: 02/06/2023] Open
Abstract
Neuronal injury is a universal event that occurs in disease processes that affect both the central and peripheral nervous systems. A blood biomarker linked to neuronal injury would provide a critical measure to understand and treat neurologic diseases. Neurofilament light chain (NfL), a cytoskeletal protein expressed only in neurons, has emerged as such a biomarker. With the ability to quantify neuronal damage in blood, NfL is being applied to a wide range of neurologic conditions to investigate and monitor disease including assessment of treatment efficacy. Blood NfL is not specific for one disease and its release can also be induced by physiological processes. Longitudinal studies in multiple sclerosis, traumatic brain injury, and stroke show accumulation of NfL over days followed by elevated levels over months. Therefore, it may be hard to determine with a single measurement when the peak of NfL is reached and when the levels are normalized. Nonetheless, measurement of blood NfL provides a new blood biomarker for neurologic diseases overcoming the invasiveness of CSF sampling that restricted NfL clinical application. In this review, we examine the use of blood NfL as a biologic test for neurologic disease.
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Affiliation(s)
- Christian Barro
- Ann Romney Center for Neurologic Diseases, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Tanuja Chitnis
- Ann Romney Center for Neurologic Diseases, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Howard L Weiner
- Ann Romney Center for Neurologic Diseases, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
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18
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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: 12.6] [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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19
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Alifirova VM, Kamenskikh EM, Koroleva ES. [Evaluation of serum neurofilament light chains levels for diagnosis, treatment monitoring and prognosis in multiple sclerosis]. Zh Nevrol Psikhiatr Im S S Korsakova 2020; 119:7-13. [PMID: 31934983 DOI: 10.17116/jnevro2019119107] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
Pathophysiological processes in multiple sclerosis frequently not diagnosed by clinicians become available for analysis only on the basis of paraclinical data (biomarkers). Nowadays neurofilament light chain can be defined as a promising biomarker for multiple sclerosis (MS). Neurofilaments are a structural part of normal neuronal processes consisting of light, intermediate and heavy chains. However, a damage of neurons such as neurodegeneration or axonal damage causes the escape of neurofilaments into extracellular space. Cutting-edge highly sensitive methods make it possible to detect neurofilament light chains not only in the cerebrospinal fluid but also in the blood serum thus opening the opportunities to utilize them in routine diagnosis in clinical practice. This review comprises existing data on the possible opportunities for research of serum neurofilament light chains in terms of exacerbations, effectiveness of basic therapy, assessment of individual disability, the atrophy of central nervous system structures. Also, there is some information on comparison of two methods: routine MRI of the brain with the contrast agents and detection of serum neurofilament light chains.
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Affiliation(s)
| | | | - E S Koroleva
- Siberian State Medical University, Tomsk, Russia
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20
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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: 8.8] [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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21
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Benatar M, Wuu J, Lombardi V, Jeromin A, Bowser R, Andersen PM, Malaspina A. Neurofilaments in pre-symptomatic ALS and the impact of genotype. Amyotroph Lateral Scler Frontotemporal Degener 2019; 20:538-548. [PMID: 31432691 DOI: 10.1080/21678421.2019.1646769] [Citation(s) in RCA: 72] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Objective. To evaluate serum and cerebrospinal fluid (CSF) levels of phosphorylated neurofilament heavy (pNfH), and to compare these to levels of neurofilament light (NfL), as biomarkers of pre-symptomatic ALS. Design. The study population includes 34 controls, 79 individuals at-risk for ALS, 22 ALS patients, and 14 phenoconverters. At-risk individuals are enrolled through Pre-Symptomatic Familial ALS (Pre-fALS), a longitudinal natural history and biomarker study of individuals who are carriers of any ALS-associated gene mutation, but who demonstrate no clinical evidence of disease at the time of enrollment. pNfH and NfL in serum and CSF were quantified using established enzyme-linked immunosorbent assays. Results. There is a longitudinal increase in serum pNfH in advance of the emergence of clinically manifest ALS. A similar pattern is observed for NfL, but with the absolute levels also frequently exceeding a normative threshold. Although CSF data are more sparse, similar patterns are observed for both neurofilaments, with absolute levels exceeding a normative threshold prior to phenoconversion. In serum, these changes are observed in the 6-12 months prior to disease among SOD1 A4V mutation carriers, and as far back as 2 and 3.5 years, respectively, in individuals with a FUS c.521del6 mutation and a C9ORF72 hexanucleotide repeat expansion. Conclusions. Serum and CSF pNfH increase prior to phenoconversion. In CSF, the temporal course of these changes is similar to NfL. In serum, however, pNfH is less sensitive to pre-symptomatic disease than NfL. The duration of pre-symptomatic disease, as defined by changes in neurofilaments, may vary depending on underlying genotype.
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Affiliation(s)
- Michael Benatar
- Department of Neurology, University of Miami , Miami , FL , USA
| | - Joanne Wuu
- Department of Neurology, University of Miami , Miami , FL , USA
| | - Vittoria Lombardi
- Neuroscience Center, Blizard, Institute of Cell and Molecular Medicine, Barts & the London School of Medicine & Dentistry , London , UK
| | | | | | - Peter M Andersen
- Department of Pharmacology and Clinical Neuroscience, Umeå University , Umeå , Sweden
| | - Andrea Malaspina
- Neuroscience Center, Blizard, Institute of Cell and Molecular Medicine, Barts & the London School of Medicine & Dentistry , London , UK
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22
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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: 109.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
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