The DOI matches its Crossref record; 231 of the 231 references it cites were found in a registry or an index.
Neurofilaments: neurobiological foundations for biomarker applications
Open accessAbstract
Interest in neurofilaments has risen sharply in recent years with recognition of their potential as biomarkers of brain injury or neurodegeneration in CSF and blood. This is in the context of a growing appreciation for the complexity of the neurobiology of neurofilaments, new recognition of specialized roles for neurofilaments in synapses and a developing understanding of mechanisms responsible for their turnover. Here we will review the neurobiology of neurofilament proteins, describing current understanding of their structure and function, including recently discovered evidence for their roles in synapses. We will explore emerging understanding of the mechanisms of neurofilament degradation and clearance and review new methods for future elucidation of the kinetics of their turnover in humans. Primary roles of neurofilaments in the pathogenesis of human diseases will be described. With this background, we then will review critically evidence supporting use of neurofilament concentration measures as biomarkers of neuronal injury or degeneration. Finally, we will reflect on major challenges for studies of the neurobiology of intermediate filaments with specific attention to identifying what needs to be learned for more precise use and confident interpretation of neurofilament measures as biomarkers of neurodegeneration.
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Iliff, J. J., Wang, M., Liao, Y., Plogg, B. A., Peng, W., Gundersen, G. A., Benveniste, H., Vates, G. E., Deane, R., Goldman, S. A., et al. (2012) · Science Translational Medicine · doi:10.1126/scitranslmed.3003748 · Cited by 5,824 · cited 1×
“…accumulates around veins draining from the brain(Hawkes et al., 2011), the walls of which appear to provide a downstream drainage pathway(Iliff et al., 2012), although the specific route for transport of molecules in the paravenous compartment to lymph nodes along veins has not been…”
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A dural lymphatic vascular system that drains brain interstitial fluid and macromolecules
Aspelund, A., Antila, S., Proulx, S. T., Karlsen, T. V., Karaman, S., Detmar, M., Wiig, H., & Alitalo, K. (2015) · Journal of Experimental Medicine · doi:10.1084/jem.20142290 · Cited by 2,198
Decreased Clearance of CNS β-Amyloid in Alzheimer’s Disease
Mawuenyega, K. G., Sigurdson, W., Ovod, V., Munsell, L., Kasten, T., Morris, J. C., Yarasheski, K. E., & Bateman, R. J. (2010) · Science · doi:10.1126/science.1197623 · Cited by 2,078
Neurofilaments as biomarkers in neurological disorders
Khalil, M., Teunissen, C. E., Otto, M., Piehl, F., Sormani, M. P., Gattringer, T., Barro, C., Kappos, L., Comabella, M., Fazekas, F., et al. (2018) · Nature Reviews Neurology · doi:10.1038/s41582-018-0058-z · Cited by 1,988
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Nixon, R. A., Wegiel, J., Kumar, A., Yu, W. H., Peterhoff, C., Cataldo, A., & Cuervo, A. M. (2005) · Journal of Neuropathology & Experimental Neurology · doi:10.1093/jnen/64.2.113 · Cited by 1,588
Self-citationPeterson, A. C., Russell, J. D., Bailey, D. J., Westphall, M. S., & Coon, J. J. (2012) · Molecular & Cellular Proteomics · doi:10.1074/mcp.o112.020131 · Cited by 1,288
Homayoun, H., & Moghaddam, B. (2007) · The Journal of Neuroscience · doi:10.1523/jneurosci.2213-07.2007 · Cited by 1,231
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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
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Lewis, C. M., Levinson, D. F., Wise, L. H., DeLisi, L. E., Straub, R. E., Hovatta, I., Williams, N. M., Schwab, S. G., Pulver, A. E., Faraone, S. V., et al. (2003) · The American Journal of Human Genetics · doi:10.1086/376549 · Cited by 1,137
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Jucker, M., & Walker, L. C. (2023) · Cell · doi:10.1016/j.cell.2023.08.021 · Cited by 353
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Barro, C., Chitnis, T., & Weiner, H. L. (2020) · Annals of Clinical and Translational Neurology · doi:10.1002/acn3.51234 · Cited by 296
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Antonioni, A., Raho, E. M., Lopriore, P., Pace, A. P., Latino, R. R., Assogna, M., Mancuso, M., Gragnaniello, D., Granieri, E., Pugliatti, M., et al. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms241411732 · Cited by 145
Metadata
- Authors
- Gafson, A. R., Barthélemy, N. R., Bomont, P., Carare, R. O., Durham, H. D., Julien, J.-P., Kuhle, J., Leppert, D., Nixon, R. A., Weller, R. O., Zetterberg, H., & Matthews, P. M.
- Venue
- Brain
- Publisher
- Oxford University Press (OUP)
- Published
- 2020-05-14
- Volume
- 143
- Issue
- 7
- Pages
- 1975-1998
- ISSN
- 0006-8950 (ISSN-L)
- 1460-2156
- OpenAlex
- W3024239323
- Cited by
- 325
- References
- 231
- FWCI
- 16.62
- Type
- journal article
- Language
- en
- Open access
- green
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- Gafson, A. R., Barthélemy, N. R., Bomont, P., Carare, R. O., Durham, H. D., Julien, J.-P., Kuhle, J., Leppert, D., Nixon, R. A., Weller, R. O., Zetterberg, H., & Matthews, P. M. (2020). Neurofilaments: neurobiological foundations for biomarker applications. Brain. https://doi.org/10.1093/brain/awaa098
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.