The DOI matches its Crossref record; 50 of the 50 references it cites were found in a registry or an index.
Inflammatory intrathecal profiles and cortical damage in multiple sclerosis
Open accessAbstract
Objective: Gray matter (GM) damage and meningeal inflammation have been associated with early disease onset and a more aggressive disease course in multiple sclerosis (MS), but can these changes be identified in the patient early in the disease course? Methods: To identify possible biomarkers linking meningeal inflammation, GM damage, and disease severity, gene and protein expression were analyzed in meninges and cerebrospinal fluid (CSF) from 27 postmortem secondary progressive MS and 14 control cases. Combined cytokine/chemokine CSF profiling and 3T magnetic resonance imaging (MRI) were performed at diagnosis in 2 independent cohorts of MS patients (35 and 38 subjects) and in 26 non‐MS patients. Results: Increased expression of proinflammatory cytokines (IFNγ, TNF, IL2, and IL22) and molecules related to sustained B‐cell activity and lymphoid‐neogenesis (CXCL13, CXCL10, LTα, IL6, and IL10) was detected in the meninges and CSF of postmortem MS cases with high levels of meningeal inflammation and GM demyelination. Similar proinflammatory patterns, including increased levels of CXCL13, TNF, IFNγ, CXCL12, IL6, IL8, and IL10, together with high levels of BAFF, APRIL, LIGHT, TWEAK, sTNFR1, sCD163, MMP2, and pentraxin III, were detected in the CSF of MS patients with higher levels of GM damage at diagnosis. Interpretation: A common pattern of intrathecal (meninges and CSF) inflammatory profile strongly correlates with increased cortical pathology, both at the time of diagnosis and at death. These results suggest a role for detailed CSF analysis combined with MRI as a prognostic marker for more aggressive MS. Ann Neurol 2018 Ann Neurol 2018;83:739–755
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Cites
Diagnostic criteria for multiple sclerosis: 2010 revisions to the McDonald criteria
Polman, C. H., Reingold, S. C., Banwell, B., Clanet, M., Cohen, J. A., Filippi, M., Fujihara, K., Havrdova, E., Hutchinson, M., Kappos, L., et al. (2011) · Annals of Neurology · doi:10.1002/ana.22366 · Cited by 9,802
A reproducible evaluation of ANTs similarity metric performance in brain image registration
Avants, B. B., Tustison, N. J., Song, G., Cook, P. A., Klein, A., & Gee, J. C. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2010.09.025 · Cited by 4,796
Cortical demyelination and diffuse white matter injury in multiple sclerosis
Kutzelnigg, A., Lucchinetti, C. F., Stadelmann, C., Brück, W., Rauschka, H., Bergmann, M., Schmidbauer, M., Parisi, J. E., & Lassmann, H. (2005) · Brain · doi:10.1093/brain/awh641 · Cited by 1,836
Magliozzi, R., Howell, O., Vora, A., Serafini, B., Nicholas, R., Puopolo, M., Reynolds, R., & Aloisi, F. (2006) · Brain · doi:10.1093/brain/awm038 · Cited by 1,443
Self-citationAn automated tool for detection of FLAIR-hyperintense white-matter lesions in Multiple Sclerosis
Schmidt, P., Gaser, C., Arsic, M., Buck, D., Förschler, A., Berthele, A., Hoshi, M., Ilg, R., Schmid, V. J., Zimmer, C., et al. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.11.032 · Cited by 1,223
Serafini, B., Rosicarelli, B., Magliozzi, R., Stigliano, E., & Aloisi, F. (2004) · Brain Pathology · doi:10.1111/j.1750-3639.2004.tb00049.x · Cited by 1,208
Self-citationInflammatory cortical demyelination in early multiple sclerosis.
Lucchinetti, C. F., Popescu, B. F. G., Bunyan, R. F., Moll, N. M., Roemer, S. F., Lassmann, H., Brück, W., Parisi, J. E., Scheithauer, B. W., Giannini, C., et al. (2011) · New England Journal of Medicine · doi:10.1056/nejmoa1100648 · Cited by 1,103
Meningeal inflammation is widespread and linked to cortical pathology in multiple sclerosis
Howell, O. W., Reeves, C. A., Nicholas, R., Carassiti, D., Radotra, B., Gentleman, S. M., Serafini, B., Aloisi, F., Roncaroli, F., Magliozzi, R., et al. (2011) · Brain · doi:10.1093/brain/awr182 · Cited by 858
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
Sharief, M. K., & Hentges, R. (1991) · New England Journal of Medicine · doi:10.1056/nejm199108153250704 · Cited by 809
Cited by
Filippi, M., Bar-Or, A., Piehl, F., Preziosa, P., Solari, A., Vukusic, S., & Rocca, M. A. (2018) · Nature Reviews Disease Primers · doi:10.1038/s41572-018-0041-4 · Cited by 1,562
Multiple sclerosis progression: time for a new mechanism-driven framework
Kuhlmann, T., Moccia, M., Coetzee, T., Cohen, J. A., Correale, J., Graves, J., Marrie, R. A., Montalban, X., Yong, V. W., Thompson, A. J., et al. (2023) · The Lancet Neurology · doi:10.1016/s1474-4422(22)00289-7 · Cited by 667
Brambilla, R. (2019) · Acta Neuropathologica · doi:10.1007/s00401-019-01980-7 · Cited by 246
Mitochondrial complex I activity in microglia sustains neuroinflammation
Peruzzotti-Jametti, L., Willis, C. M., Krzak, G., Hamel, R., Pirvan, L., Ionescu, R.-B., Reisz, J. A., Prag, H. A., Garcia-Segura, M. E., Wu, V., et al. (2024) · Nature · doi:10.1038/s41586-024-07167-9 · Cited by 239
Mechanisms underlying progression in multiple sclerosis
Absinta, M., Lassmann, H., & Trapp, B. D. (2020) · Current Opinion in Neurology · doi:10.1097/wco.0000000000000818 · Cited by 175
Metadata
- Authors
- Magliozzi, R., Howell, O. W., Nicholas, R., Cruciani, C., Castellaro, M., Romualdi, C., Rossi, S., Pitteri, M., Benedetti, M. D., Gajofatto, A., Pizzini, F. B., Montemezzi, S., Rasia, S., Capra, R., Bertoldo, A., Facchiano, F., Monaco, S., Reynolds, R., & Calabrese, M.
- Venue
- Annals of Neurology
- Publisher
- Wiley
- Published
- 2018-04
- Volume
- 83
- Issue
- 4
- Pages
- 739-755
- ISSN
- 0364-5134 (ISSN-L)
- 1531-8249
- OpenAlex
- W2792851064
- Cited by
- 298
- References
- 50
- FWCI
- 20.73
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Magliozzi, R., Howell, O. W., Nicholas, R., Cruciani, C., Castellaro, M., Romualdi, C., Rossi, S., Pitteri, M., Benedetti, M. D., Gajofatto, A., Pizzini, F. B., Montemezzi, S., Rasia, S., Capra, R., Bertoldo, A., Facchiano, F., Monaco, S., Reynolds, R., & Calabrese, M. (2018). Inflammatory intrathecal profiles and cortical damage in multiple sclerosis. Annals of Neurology. https://doi.org/10.1002/ana.25197
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