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Exploring the origins of grey matter damage in multiple sclerosis
Open accessAbstract
Multiple sclerosis is characterized at the gross pathological level by the presence of widespread focal demyelinating lesions of the myelin-rich white matter. However, it is becoming clear that grey matter is not spared, even during the earliest phases of the disease. Furthermore, grey matter damage may have an important role both in physical and cognitive disability. Grey matter pathology involves both inflammatory and neurodegenerative mechanisms, but the relationship between the two is unclear. Histological, immunological and neuroimaging studies have provided new insight in this rapidly expanding field, and form the basis of the most recent hypotheses on the pathogenesis of grey matter damage.
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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 [7]
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“Furthermore, most EAE models do not recapitulate the extensive grey matter pathology observed in patients, which show a demyelination pattern often characterized by chronic microglia activation, absence of leukocyte infiltration [46] and pronounced meningeal inflammation [156].”
From Microglia and monocytes in inflammatory CNS disease: integrating phenotype and function (2022) · cites this paper as [46]
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Metadata
- Authors
- Calabrese, M., Magliozzi, R., Ciccarelli, O., Geurts, J. J. G., Reynolds, R., & Martin, R.
- Affiliations
- University of Verona (IT)
- Istituto Superiore di Sanità (IT)
- University College London Hospitals NHS Foundation Trust (GB)
- Amsterdam UMC Location Vrije Universiteit Amsterdam (NL)
- Hammersmith Hospital (GB)
- Corresponding author
- Calabrese, Massimiliano
- Venue
- Nature Reviews Neuroscience
- Published
- 2015-02-20
- Volume
- 16
- Issue
- 3
- Pages
- 147-158
- ISSN
- 1471-003X (ISSN-L)
- 1471-0048
- OpenAlex
- W1972438508
- Cited by
- 414
- References
- 131
- Citations by year
- 2026: 24 · 2025: 30 · 2024: 33 · 2023: 22 · 2022: 31 · 2021: 58 · 2020: 45 · 2019: 47 · 2018: 40 · 2017: 39 · 2016: 29 · 2015: 16
- FWCI
- 6.06
- Type
- journal article
- Language
- en
- Open access
- green
- pure.amsterdamumc.nl
- Licence
- other-oa
- www.springer.com/tdm (tdm)
- Locations
- Nature reviews. Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- Pure Amsterdam UMC (publishedVersion, other-oa)
- Amsterdam UMC (VU Amsterdam) - Institutional Repository (publishedVersion)
- Zurich Open Repository and Archive (University of Zurich) (acceptedVersion, other-oa)
- UCL Discovery (University College London) (submittedVersion)
- Zurich Open Repository and Archive (University of Zurich) (submittedVersion, other-oa)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Zurich Open Repository and Archive (University of Zurich)
- Funders
- National Science Foundation (2313255)
- Fondazione Italiana Sclerosi Multipla
- International Progressive MS Alliance
- Multiple Sclerosis Society
- Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
- Ministero della Salute (GR-2010-2313255, GR-2010)
- Universität Zürich
- Schweizerische Multiple Sklerose Gesellschaft
- Medical Research Council
- Topics
- Health Sciences › Medicine › Clinical Neurology › Multiple Sclerosis Research Studies
- Life Sciences › Neuroscience › Neurology › Neuroinflammation and Neurodegeneration Mechanisms
- Life Sciences › Immunology and Microbiology › Immunology › Psoriasis: Treatment and Pathogenesis
- Keywords
- multiple sclerosis, demyelination, neurodegeneration, neuroinflammation, white matter injury, cognitive disability, pathogenesis
- MeSH terms
- Animals, Cerebral Cortex, Humans, Inflammation, Multiple Sclerosis, White Matter, Gray Matter
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 ›
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