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Axonal loss in multiple sclerosis: a pathological survey of the corticospinal and sensory tracts
Abstract
Clinical, imaging, and pathological studies in multiple sclerosis have generally emphasized the relative preservation of axons in comparison with myelin. Recent evidence, however, demonstrates that axonal loss is also significant, affects long tracts such as the corticospinal and sensory tracts and relates closely to functional disability. Accordingly, the distribution and extent of this axonal loss is the focus of the current investigation. Post-mortem material of 55 multiple sclerosis patients and 32 matched controls was used to examine quantitatively the population of axons in the corticospinal tracts from the medulla to the lumbar spinal cord and the sensory tracts from the lumbar to the upper cervical spinal cord. Myelin- and axon-stained sections have been prepared to estimate the notional area and axon density, respectively of both tracts. Our results indicate that in the corticospinal tracts there is a significant reduction of the area and axon density at all levels investigated in multiple sclerosis cases when compared with controls. In contrast, the sensory tracts in multiple sclerosis cases showed a significant reduction in area and axon density only in the upper regions of the spinal cord. As has been found with MRI plaque load and T2 burden, correlations of axonal loss with duration of disease were not strong. Of the fibres lost in multiple sclerosis, we have found that small fibres (<3 microm2) seem to be particularly affected, with large fibres remaining relatively preserved in both the corticospinal and sensory tracts. In multiple sclerosis, axonal loss is widespread, and its extent is tract specific and size selective.
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“Spinal cord pathology is an important determinant of permanent neurological disability with cardinal characteristics being inflammatory demyelination, synaptic, neuronal and axonal loss.6, 7, 8, 9, 10, 11”
From Neurite dispersion: a new marker of multiple sclerosis spinal cord pathology? (2017) · cites this paper as [6]
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“Regarding the NSF maps, neurofilament antigenicity can be negatively affected by formalin fixation,6 which may be at least in part responsible for some of the heterogeneity shown in our neurofilament immunolabeling.”
From Neurite dispersion: a new marker of multiple sclerosis spinal cord pathology? (2017) · cites this paper as [6]
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Cites
Axonal transection in the lesions of multiple sclerosis
Trapp, B. D., Peterson, J., Ransohoff, R. M., Rudick, R., Mörk, S., & Bö, L. (1998) · New England Journal of Medicine · doi:10.1056/nejm199801293380502 · Cited by 4,029
Axonal damage in acute multiple sclerosis lesions
Ferguson, B. (1997) · Brain · doi:10.1093/brain/120.3.393 · Cited by 1,532
Multiple Sclerosis and Chronic Autoimmune Encephalomyelitis
Kornek, B., Storch, M. K., Weissert, R., Wallstroem, E., Stefferl, A., Olsson, T. P., Linington, C., Schmidbauer, M., & Lassmann, H. (2000) · American Journal Of Pathology · doi:10.1016/s0002-9440(10)64537-3 · Cited by 935
Axonal Swellings and Degeneration in Mice Lacking the Major Proteolipid of Myelin
Griffiths, I., Klugmann, M., Anderson, T., Yool, D., Thomson, C., Schwab, M. H., Schneider, A., Zimmermann, F., McCulloch, M., Nadon, N., et al. (1998) · Science · doi:10.1126/science.280.5369.1610 · Cited by 889
Spinal cord atrophy and disability in multiple sclerosis
Losseff, N. A., Webb, S. L., O’Riordan, J. I., Page, R., Wang, L., Barker, G. J., Tofts, P. S., McDonald, W. I., Miller, D., & Thompson, A. J. (1996) · Brain · doi:10.1093/brain/119.3.701 · Cited by 642
Multiple Sclerosis: A Reappraisal
(1973) · The Medical Journal of Australia · doi:10.5694/j.1326-5377.1973.tb110785.x · Cited by 568
Myelin-Associated Glycoprotein Is a Myelin Signal that Modulates the Caliber of Myelinated Axons
Yin, X., Crawford, T. O., Griffin, J. W., Tu, P., Lee, V. M. ‐., Li, C. C., Roder, J., & Trapp, B. D. (1998) · Journal of Neuroscience · doi:10.1523/jneurosci.18-06-01953.1998 · Cited by 491
Evangelou, N. (2000) · Brain · doi:10.1093/brain/123.9.1845 · Cited by 416
Davie, C., Barker, G., Webb, S., Tofts, P., Thompson, A. J., Harding, A., Mcdonald, W., & Miller, D. (1995) · Brain : a journal of neurology · doi:10.1093/brain/118.6.1583 · Cited by 381
Research works printed but not linked: 4
- Bjartmar C, Kidd G, Mork S, Rudick R, Trapp BD. Neurological disability correlates with spinal cord axonal loss and reduced N-acetyl aspartate in chronic multiple sclerosis patients. Ann Neurol 2000; 48: 793±901.
- Charcot M. Histologie de la sclerose en plaques. Gaz Hop (Paris) 1868; 141: 554±8.
- Evangelou N, Esiri MM, Smith S, Palace J, Matthews PM. Quantitative pathological evidence for axonal loss in normal appearing white matter in multiple sclerosis. Ann Neurol 2000a; 47: 391±5.
- Scherer S. Axonal pathology in demyelinating diseases. Ann Neurol 1999; 45: 6±7.
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Metadata
- Authors
- DeLuca, G. C.
- Affiliations
- University of Oxford (GB)
- Corresponding author
- DeLuca, G. C.
- ORCID
- DeLuca, G. C.
- Venue
- Brain
- Publisher
- Oxford University Press (OUP)
- Published
- 2004-02-26
- Volume
- 127
- Issue
- 5
- Pages
- 1009-1018
- ISSN
- 0006-8950 (ISSN-L)
- 1460-2156
- OpenAlex
- W1999110803
- Cited by
- 255
- References
- 30
- Citations by year
- 2026: 5 · 2025: 6 · 2024: 4 · 2023: 6 · 2022: 2 · 2021: 8 · 2020: 14 · 2019: 12 · 2018: 13 · 2017: 10 · 2016: 10 · 2015: 16 · 2014: 14 · 2013: 12 · 2012: 12
- FWCI
- 11.90
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Brain (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Multiple Sclerosis Society of Canada
- Multiple Sclerosis Society
- University of Oxford
- Topics
- Health Sciences › Medicine › Clinical Neurology › Multiple Sclerosis Research Studies
- Health Sciences › Medicine › Clinical Neurology › Peripheral Neuropathies and Disorders
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Keywords
- multiple sclerosis, axonal loss, corticospinal tract, axon density, myelin, spinal cord, disease duration, functional disability, postmortem pathology
- MeSH terms
- Adult, Aged, Aged, 80 and over, Axons, Female, Humans, Image Processing, Computer-Assisted, Male, Middle Aged, Multiple Sclerosis, Pyramidal Tracts, Spinal Cord, Staining and Labeling, Case-Control Studies, Ganglia, Sensory
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