Serum neurofilament as a predictor of disease worsening and brain and spinal cord atrophy in multiple sclerosis
Abstract
Neuro-axonal injury is a key factor in the development of permanent disability in multiple sclerosis. Neurofilament light chain in peripheral blood has recently emerged as a biofluid marker reflecting neuro-axonal damage in this disease. We aimed at comparing serum neurofilament light chain levels in multiple sclerosis and healthy controls, to determine their association with measures of disease activity and their ability to predict future clinical worsening as well as brain and spinal cord volume loss. Neurofilament light chain was measured by single molecule array assay in 2183 serum samples collected as part of an ongoing cohort study from 259 patients with multiple sclerosis (189 relapsing and 70 progressive) and 259 healthy control subjects. Clinical assessment, serum sampling and MRI were done annually; median follow-up time was 6.5 years. Brain volumes were quantified by structural image evaluation using normalization of atrophy, and structural image evaluation using normalization of atrophy, cross-sectional, cervical spinal cord volumes using spinal cord image analyser (cordial). Results were analysed using ordinary linear regression models and generalized estimating equation modelling. Serum neurofilament light chain was higher in patients with a clinically isolated syndrome or relapsing remitting multiple sclerosis as well as in patients with secondary or primary progressive multiple sclerosis than in healthy controls (age adjusted P < 0.001 for both). Serum neurofilament light chain above the 90th percentile of healthy controls values was an independent predictor of Expanded Disability Status Scale worsening in the subsequent year (P < 0.001). The probability of Expanded Disability Status Scale worsening gradually increased by higher serum neurofilament light chain percentile category. Contrast enhancing and new/enlarging lesions were independently associated with increased serum neurofilament light chain (17.8% and 4.9% increase per lesion respectively; P < 0.001). The higher the serum neurofilament light chain percentile level, the more pronounced was future brain and cervical spinal volume loss: serum neurofilament light chain above the 97.5th percentile was associated with an additional average loss in brain volume of 1.5% (P < 0.001) and spinal cord volume of 2.5% over 5 years (P = 0.009). Serum neurofilament light chain correlated with concurrent and future clinical and MRI measures of disease activity and severity. High serum neurofilament light chain levels were associated with both brain and spinal cord volume loss. Neurofilament light chain levels are a real-time, easy to measure marker of neuro-axonal injury that is conceptually more comprehensive than brain MRI.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Higher absolute blood NfL after symptoms appear matches findings in progressive supranuclear palsy, Huntington's disease, and multiple sclerosis.
“Increased absolute NfL levels in the blood in the symptomatic disease phase is consistent with similar observations in progressive supranuclear palsy28, Huntington’s disease30, and multiple sclerosis14.”
From Serum neurofilament dynamics predicts neurodegeneration and clinical progression in presymptomatic Alzheimer’s disease (2019) · cites this paper as [14]
In mice and in several neurological conditions, including proteopathic neurodegenerative diseases, fluid NfL changes have been associated with brain damage and atrophy.
“Changes of NfL in bodily fluids have been linked to brain damage and brain atrophy in mouse models and multiple neurological disorders including proteopathic neurodegenerative diseases11,13–16.”
From Serum neurofilament dynamics predicts neurodegeneration and clinical progression in presymptomatic Alzheimer’s disease (2019) · cites this paper as [14]
Cites
R: A Language and Environment for Statistical Computing
R Core Team (2000) · doi:10.32614/r.manuals · Cited by 355,706 · see citing works
McDonald, W. I., Compston, A., Edan, G., Goodkin, D., Hartung, H., Lublin, F. D., McFarland, H. F., Paty, D. W., Polman, C. H., Reingold, S. C., et al. (2001) · Annals of Neurology · doi:10.1002/ana.1032 · Cited by 6,969 · see citing works
Diagnostic criteria for multiple sclerosis: 2005 revisions to the “McDonald Criteria”
Polman, C. H., Reingold, S. C., Edan, G., Filippi, M., Hartung, H., Kappos, L., Lublin, F. D., Metz, L. M., McFarland, H. F., O'Connor, P. W., et al. (2005) · Annals of Neurology · doi:10.1002/ana.20703 · Cited by 5,017 · see citing works
Self-citationCompston, A., & Coles, A. J. (2008) · The Lancet · doi:10.1016/s0140-6736(08)61620-7 · Cited by 4,459 · see citing works
Defining the clinical course of multiple sclerosis
LUBLIN, F. D., & Reingold, S. C. (1996) · Neurology · doi:10.1212/wnl.46.4.907 · Cited by 3,687 · see citing works
Serum neurofilament light: a biomarker of neuronal damage in multiple sclerosis
Disanto, G., Barro, C., Benkert, P., Naegelin, Y., Schädelin, S., Giardiello, A., Zecca, C., Blennow, K., Zetterberg, H., Leppert, D., et al. (2017) · Annals of Neurology · doi:10.1002/ana.24954 · Cited by 1,164 · see citing works
Self-citationA consensus protocol for the standardization of cerebrospinal fluid collection and biobanking
Teunissen, C. E., Petzold, A., Bennett, J. L., Berven, F. S., Brundin, L., Comabella, M., Franciotta, D., Frederiksen, J. L., Fleming, J. O., Furlan, R., et al. (2009) · Neurology · doi:10.1212/wnl.0b013e3181c47cc2 · Cited by 845 · see citing works
Self-citationKuhle, J., Barro, C., Andreasson, U., Derfuss, T., Lindberg, R., Sandelius, Å., Liman, V., Norgren, N., Blennow, K., & Zetterberg, H. (2016) · Clinical Chemistry and Laboratory Medicine (CCLM) · doi:10.1515/cclm-2015-1195 · Cited by 740 · see citing works
Self-citationNeurofilament light chain: A prognostic biomarker in amyotrophic lateral sclerosis
Lu, C.-H., Macdonald-Wallis, C., Gray, E., Pearce, N., Petzold, A., Norgren, N., Giovannoni, G., Fratta, P., Sidle, K., Fish, M., et al. (2015) · Neurology · doi:10.1212/wnl.0000000000001642 · Cited by 563 · see citing works
Self-citationIncreased Neurofilament Light Chain Blood Levels in Neurodegenerative Neurological Diseases
Gaiottino, J., Norgren, N., Dobson, R., Topping, J. H., Nissim, A., Malaspina, A., Bestwick, J. P., Monsch, A. U., Regeniter, A., Lindberg, R. L. P., et al. (2013) · PLoS ONE · doi:10.1371/journal.pone.0075091 · Cited by 486 · see citing works
Self-citationGisslén, M., Price, R. W., Andreasson, U., Norgren, N., Nilsson, S., Hagberg, L., Fuchs, D., Spudich, S., Blennow, K., & Zetterberg, H. (2016) · EBioMedicine · doi:10.1016/j.ebiom.2015.11.036 · Cited by 481 · see citing works
Genome-wide association analysis of susceptibility and clinical phenotype in multiple sclerosis
Baranzini, S. E., Wang, J., Gibson, R. A., Galwey, N., Naegelin, Y., Barkhof, F., Radue, E.-W., Lindberg, R. L. P., Uitdehaag, B. M. G., Johnson, M. R., et al. (2009) · Human Molecular Genetics · doi:10.1093/hmg/ddn388 · Cited by 476 · see citing works
Self-citationBacioglu, M., Maia, L. F., Preische, O., Schelle, J., Apel, A., Kaeser, S. A., Schweighauser, M., Eninger, T., Lambert, M., Pilotto, A., et al. (2016) · Neuron · doi:10.1016/j.neuron.2016.05.018 · Cited by 435 · see citing works
Self-citationRigby, R. A., & Stasinopoulos, D. (2004) · Statistics in Medicine · doi:10.1002/sim.1861 · Cited by 375 · see citing works
Axonal damage in relapsing multiple sclerosis is markedly reduced by natalizumab
Gunnarsson, M., Malmeström, C., Axelsson, M., Sundström, P., Dahle, C., Vrethem, M., Olsson, T. P., Piehl, F., Norgren, N., Rosengren, L., et al. (2010) · Annals of Neurology · doi:10.1002/ana.22247 · Cited by 346 · see citing works
Kuhle, J., Barro, C., Disanto, G., Mathias, A., Soneson, C., Bonnier, G., Yaldizli, Ö., Regeniter, A., Derfuss, T., Canales, M., et al. (2016) · Multiple Sclerosis Journal · doi:10.1177/1352458515623365 · Cited by 257 · see citing works
Self-citationWeydt, P., Oeckl, P., Huss, A. M., Müller, K., Volk, A. E., Kühle, J., Knehr, A., Andersen, P. M., Prudlo, J., Steinacker, P., et al. (2015) · Annals of Neurology · doi:10.1002/ana.24552 · Cited by 217 · see citing works
Combination of CSF N -acetylaspartate and neurofilaments in multiple sclerosis
Teunissen, C. E., Iacobaeus, E., Khademi, M., Brundin, L., Norgren, N., Simmelink, M. J. A., Schepens, M., Bouwman, F. H., Twaalfhoven, H. A. M., Blom, H. J., et al. (2009) · Neurology · doi:10.1212/wnl.0b013e3181a0fe3f · Cited by 205 · see citing works
Serum neurofilament is associated with progression of brain atrophy and disability in early MS
Kühle, J., Nourbakhsh, B., Grant, D., Morant, S. V., Barro, C., Yaldizli, Ö., Pelletier, D., Giovannoni, G., Waubant, E. L., & Gnanapavan, S. (2017) · Neurology · doi:10.1212/wnl.0000000000003653 · Cited by 203 · see citing works
Self-citationSpinal cord gray matter atrophy correlates with multiple sclerosis disability
Schlaeger, R., Papinutto, N., Panara, V., Bevan, C., Lobach, I., Bucci, M., Caverzasi, E., Gelfand, J. M., Green, A., Jordan, K., et al. (2014) · Annals of Neurology · doi:10.1002/ana.24241 · Cited by 202 · see citing works
Piehl, F., Kockum, I. S., Khademi, M., Blennow, K., Lycke, J., Zetterberg, H., & Olsson, T. P. (2017) · Multiple Sclerosis Journal · doi:10.1177/1352458517715132 · Cited by 184 · see citing works
Novakova, L., Axelsson, M., Khademi, M., Zetterberg, H., Blennow, K., Malmeström, C., Piehl, F., Olsson, T. P., & Lycke, J. (2016) · Journal of Neurochemistry · doi:10.1111/jnc.13881 · Cited by 141 · see citing works
Håkansson, I., Tisell, A., Cassel, P., Blennow, K., Zetterberg, H., Lundberg, P., Dahle, C., Vrethem, M., & Ernerudh, J. (2017) · European Journal of Neurology · doi:10.1111/ene.13274 · Cited by 117 · see citing works
Yabe, J. T., Chylinski, T. M., Wang, F.-S., et al. (2001) · Journal of Neuroscience · doi:10.1523/jneurosci.21-07-02195.2001 · Cited by 110 · see citing works
Relevance of asymptomatic spinal MRI lesions in patients with multiple sclerosis
Zecca, C., Disanto, G., Sormani, M. P., Riccitelli, G. C., Cianfoni, A., Grande, F. D., Pravatà, E., & Gobbi, C. (2015) · Multiple Sclerosis Journal · doi:10.1177/1352458515599246 · Cited by 74 · see citing works
Self-citationHagström, I. T., Schneider, R., Bellenberg, B., Salmen, A., Weiler, F., Köster, O., Gold, R., & Lukas, C. (2017) · Journal of Neurology · doi:10.1007/s00415-017-8537-5 · Cited by 30 · see citing works
Bove, R. M., Chitnis, T., Cree, B., Tintoré, M., Naegelin, Y., Uitdehaag, B. M. J., Kappos, L., Khoury, S. J., Montalbán, X., Hauser, S. L., et al. (2017) · Multiple Sclerosis Journal · doi:10.1177/1352458517726657 · Cited by 23 · see citing works
Self-citationAmann, M., Pezold, S., Naegelin, Y., et al. (2016) · Journal of Neurology · doi:10.1007/s00415-016-8133-0 · Cited by 15 · see citing works
Self-citation
Flagged first, then by citations
Cited by
Sorted by citations
Scheltens, P., De Strooper, B., Kivipelto, M., Holstege, H., Chételat, G., Teunissen, C. E., Cummings, J., & van der Flier, W. M. (2021) · The Lancet · doi:10.1016/s0140-6736(20)32205-4 · Cited by 5,465 · see citing works
Neurofilament light chain as a biomarker in neurological disorders
Gaetani, L., Blennow, K., Calabresi, P., Di Filippo, M., Parnetti, L., & Zetterberg, H. (2019) · Journal of Neurology, Neurosurgery & Psychiatry · doi:10.1136/jnnp-2018-320106 · Cited by 1,334 · see citing works
Dominantly Inherited Alzheimer Network, Preische, O., Schultz, S. A., Apel, A., Kuhle, J., Kaeser, S. A., Barro, C., Gräber, S., Kuder-Buletta, E., LaFougere, C., et al. (2019) · Nature Medicine · doi:10.1038/s41591-018-0304-3 · Cited by 927 · see citing works
Self-citationHow patients with multiple sclerosis acquire disability
Lublin, F. D., Häring, D. A., Ganjgahi, H., Ocampo, A., Hatami, F., Čuklina, J., Aarden, P., Dahlke, F., Arnold, D. L., Wiendl, H., et al. (2022) · Brain · doi:10.1093/brain/awac016 · Cited by 549 · see citing works
Blood neurofilament light: a critical review of its application to neurologic disease
Barro, C., Chitnis, T., & Weiner, H. L. (2020) · Annals of Clinical and Translational Neurology · doi:10.1002/acn3.51234 · Cited by 296 · see citing works
Self-citationPicca, A., Guerra, F., Calvani, R., Romano, R., Coelho-Júnior, H. J., Bucci, C., & Marzetti, E. (2021) · Biomolecules · doi:10.3390/biom11101508 · Cited by 189 · see citing works
Mechanisms of Neurodegeneration and Axonal Dysfunction in Progressive Multiple Sclerosis
Correale, J., Marrodan, M., & Ysrraelit, M. C. (2019) · Biomedicines · doi:10.3390/biomedicines7010014 · Cited by 167 · see citing works
Alirezaei, Z., Pourhanifeh, M. H., Borran, S., Nejati, M., Mirzaei, H., & Hamblin, M. R. (2020) · Molecular Neurobiology · doi:10.1007/s12035-019-01698-3 · Cited by 142 · see citing works
Diagnosis and Management of Progressive Multiple Sclerosis
Macaron, G., & Ontaneda, D. (2019) · Biomedicines · doi:10.3390/biomedicines7030056 · Cited by 70 · see citing works
Chhatwal, J. P., Schultz, A. P., Dang, Y., Ostaszewski, B., Liu, L., Yang, H.-S., Johnson, K. A., Sperling, R. A., & Selkoe, D. J. (2020) · Nature Communications · doi:10.1038/s41467-020-19543-w · Cited by 60 · see citing works
van den Bosch, A., Fransen, N., Mason, M., Rozemuller, A. J., Teunissen, C., Smolders, J., & Huitinga, I. (2022) · Neurology Neuroimmunology & Neuroinflammation · doi:10.1212/nxi.0000000000001154 · Cited by 58 · see citing works
Eratne, D., Loi, S. M., Walia, N., Farrand, S., Li, Q.-X., Varghese, S., Walterfang, M., Evans, A., Mocellin, R., Dhiman, K., et al. (2020) · Australian & New Zealand Journal of Psychiatry · doi:10.1177/0004867419857811 · Cited by 56 · see citing works
Neurofilament light level correlates with brain atrophy, and cognitive and motor performance
Kartau, M., Melkas, S., Kartau, J., Arola, A., Laakso, H., Pitkänen, J., Lempiäinen, J., Koikkalainen, J., Lötjönen, J., Korvenoja, A., et al. (2023) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2022.939155 · Cited by 16 · see citing works
Brieva, L., Calles, C., Landete, L., & Oreja-Guevara, C. (2025) · Frontiers in Immunology · doi:10.3389/fimmu.2025.1543649 · Cited by 16 · see citing works
- Authors
- Barro, C., Benkert, P., Disanto, G., Tsagkas, C., Amann, M., Naegelin, Y., Leppert, D., Gobbi, C., Granziera, C., Yaldizli, Ö., Michalak, Z., Wuerfel, J., Kappos, L., Parmar, K., & Kuhle, J.
- Affiliations
- University of Basel (CH)
- Neurocentre of Southern Switzerland, Ospedale Civico, Lugano, Switzerland
- Neurologic Clinic and Policlinic, Departments of Medicine, Biomedicine and Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland
- ORCID
- Venue
- Brain
- Publisher
- Oxford University Press (OUP)
- Published
- 2018-05-30
- Volume
- 141
- Issue
- 8
- Pages
- 2382-2391
- ISSN
- 0006-8950 (ISSN-L)
- 1460-2156
- OpenAlex
- W2806791998
- Cited by
- 517
- References
- 28
- Citations by year
- 2026: 36 · 2025: 53 · 2024: 84 · 2023: 66 · 2022: 75 · 2021: 70 · 2020: 68 · 2019: 55 · 2018: 9
- FWCI
- 38.38
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Brain (publishedVersion)
- PubMed (publishedVersion)
- reroDoc Digital Library (submittedVersion)
- Funders
- Swiss National Research Foundation (320030_160221)
- Topics
- Health Sciences › Medicine › Pathology and Forensic Medicine › Multiple Sclerosis Research Studies
- Health Sciences › Medicine › Neurology › Peripheral Neuropathies and Disorders
- Health Sciences › Medicine › Oncology › Polyomavirus and related diseases
- Keywords
- multiple sclerosis, serum neurofilament light chain, brain atrophy, spinal cord atrophy, Expanded Disability Status Scale, clinically isolated syndrome, relapsing-remitting multiple sclerosis, secondary progressive multiple sclerosis, primary progressive multiple sclerosis, MRI lesion activity, neuroinflammation, neurodegeneration, disease activity markers
- MeSH terms
- Single Molecule Imaging, Adult, Atrophy, Brain, Cross-Sectional Studies, Female, Humans, Magnetic Resonance Imaging, Male, Middle Aged, Multiple Sclerosis, Nervous System Malformations, Spinal Cord, Cohort Studies, Biomarkers, Neurofilament Proteins, Disease Progression, Cervical Cord
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review