Neurofilament Light Chain in Blood and CSF as Marker of Disease Progression in Mouse Models and in Neurodegenerative Diseases
Open accessAbstract
A majority of current disease-modifying therapeutic approaches for age-related neurodegenerative diseases target their characteristic proteopathic lesions (α-synuclein, Tau, Aβ). To monitor such treatments, fluid biomarkers reflecting the underlying disease process are crucial. We found robust increases of neurofilament light chain (NfL) in CSF and blood in murine models of α-synucleinopathies, tauopathy, and β-amyloidosis. Blood and CSF NfL levels were strongly correlated, and NfL increases coincided with the onset and progression of the corresponding proteopathic lesions in brain. Experimental induction of α-synuclein lesions increased CSF and blood NfL levels, while blocking Aβ lesions attenuated the NfL increase. Consistently, we also found NfL increases in CSF and blood of human α-synucleinopathies, tauopathies, and Alzheimer's disease. Our results suggest that CSF and particularly blood NfL can serve as a reliable and easily accessible biomarker to monitor disease progression and treatment response in mouse models and potentially in human proteopathic neurodegenerative diseases.
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Self-citationChhatwal, 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
Poly(GP), neurofilament and grey matter deficits in <i>C9orf72</i> expansion carriers
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Blood Biomarkers for Alzheimer’s Disease: Much Promise, Cautious Progress
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- Authors
- Bacioglu, M., Maia, L. F., Preische, O., Schelle, J., Apel, A., Kaeser, S. A., Schweighauser, M., Eninger, T., Lambert, M., Pilotto, A., Shimshek, D. R., Neumann, U., Kahle, P. J., Staufenbiel, M., Neumann, M., Maetzler, W., Kuhle, J., & Jucker, M.
- Affiliations
- German Center for Neurodegenerative Diseases (DE)
- Novartis (Switzerland) (CH)
- Corresponding author
- Jucker, Mathias
- ORCID
- Venue
- Neuron
- Publisher
- Elsevier BV
- Published
- 2016-07
- Volume
- 91
- Issue
- 1
- Pages
- 56-66
- ISSN
- 0896-6273 (ISSN-L)
- OpenAlex
- W2418840920
- Cited by
- 435
- References
- 54
- Citations by year
- 2026: 21 · 2025: 33 · 2024: 47 · 2023: 64 · 2022: 45 · 2021: 50 · 2020: 63 · 2019: 41 · 2018: 32 · 2017: 29 · 2016: 10
- FWCI
- 30.02
- Type
- journal article
- Language
- en
- Update notices
- erratum (2016-07-20)
- Open access
- bronze
- doi.org
- Licence
- Locations
- Neuron (publishedVersion)
- PubMed (publishedVersion)
- Institutional Research Information System (Università degli Studi di Brescia) (submittedVersion, public-domain)
- Multimedialen Archiv und Publikationsserver der Christian-Albrechts-Universität zu Kiel (Christian-Albrechts-Universität zu Kiel) (submittedVersion, cc-by)
- DZNE Pub (submittedVersion)
- Topics
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Health Sciences › Medicine › Neurology › Parkinson's Disease Mechanisms and Treatments
- Life Sciences › Neuroscience › Neurology › Neuroinflammation and Neurodegeneration Mechanisms
- Keywords
- neurofilament light chain, cerebrospinal fluid biomarkers, blood biomarkers, disease progression monitoring, synucleinopathies, tauopathy, beta-amyloidosis, Alzheimer's disease, mouse model, treatment response monitoring
- MeSH terms
- Animals, Axons, Brain, Intermediate Filaments, Mice, Inbred C57BL, Mice, Transgenic, Biomarkers, Neurofilament Proteins, Disease Progression, Neurodegenerative Diseases, alpha-Synuclein
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.
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