Imperial College London
Alternate

Professor Richard Reynolds, BSc AKC PhD

Faculty of Medicine, Department of Brain Sciences

Professor of Cellular Neurobiology
 
 
 
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Contact

 

+44 (0)20 7594 6668r.reynolds

 
 
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Location

 

E414Burlington DanesHammersmith Campus

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Summary

 

Publications

Citation

BibTex format

@article{Magliozzi:2020:10.1002/ana.25786,
author = {Magliozzi, R and Scalfari, A and Pisani, AI and Ziccardi, S and Marastoni, D and Pizzini, FB and Bajrami, A and Tamanti, A and Guandalini, M and Bonomi, S and Rossi, S and Mazziotti, V and Castellaro, M and Montemezzi, S and Rasia, S and Capra, R and Pitteri, M and Romualdi, C and Reynolds, R and Calabrese, M},
doi = {10.1002/ana.25786},
journal = {Annals of Neurology},
title = {TheCSFProfile linked to cortical damage predicts multiple sclerosis activity},
url = {http://dx.doi.org/10.1002/ana.25786},
year = {2020}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - ObjectiveIntrathecal inflammation correlates with the grey matter damage since the early stages of multiple sclerosis (MS), but whether the cerebrospinal fluid (CSF) profile can help to identify patients at risk of disease activity is still unclear.MethodsWe evaluated the association between CSF levels of 18 cytokines, previously found to be associated to grey matter damage, and the disease activity, among 99 patients with relapsingremitting MS, who underwent blinded clinical and 3 T magnetic resonance imaging (MRI) evaluations for 4 years. Groups with evidence of disease activity (EDA) or no evidence of disease activity (NEDA; occurrence of relapses, new white matter lesions, and Expanded Disability Status Scale [EDSS] change) were identified. Cortical lesions and the annualized cortical thinning were also evaluated.ResultsFortyone patients experienced EDA and, compared to the NEDA group, had at diagnosis higher CSF levels of CXCL13, CXCL12, IFNγ, TNF, sCD163, LIGHT, and APRIL (p < 0.001). In the multivariate analysis, CXCL13 (hazard ratio [HR] = 1.35; p = 0.0002), LIGHT (HR = 1.22; p = 0.005) and APRIL (HR = 1.78; p = 0.0001) were the CSF molecules more strongly associated with the risk of EDA. The model, including CSF variables, predicted more accurately the occurrence of disease activity than the model with only clinical/MRI parameters (Cindex at 4 years = 71% vs 44%). Finally, higher CSF levels of CXCL13 (β = 4.710−4; p < 0.001), TNF (β = 3.110−3; p = 0.004), LIGHT (β = 2.610−4; p = 0.003), sCD163 (β = 4.310−3; p = 0.009), and TWEAK (β = 3.410−3; p = 0.024) were associated with more severe cortical thinning.InterpretationA specific CSF profile, mainly characterized by elevated levels of Bcell r
AU  - Magliozzi,R
AU  - Scalfari,A
AU  - Pisani,AI
AU  - Ziccardi,S
AU  - Marastoni,D
AU  - Pizzini,FB
AU  - Bajrami,A
AU  - Tamanti,A
AU  - Guandalini,M
AU  - Bonomi,S
AU  - Rossi,S
AU  - Mazziotti,V
AU  - Castellaro,M
AU  - Montemezzi,S
AU  - Rasia,S
AU  - Capra,R
AU  - Pitteri,M
AU  - Romualdi,C
AU  - Reynolds,R
AU  - Calabrese,M
DO  - 10.1002/ana.25786
PY  - 2020///
SN  - 0364-5134
TI  - TheCSFProfile linked to cortical damage predicts multiple sclerosis activity
T2  - Annals of Neurology
UR  - http://dx.doi.org/10.1002/ana.25786
UR  - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000546439500001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR  - https://onlinelibrary.wiley.com/doi/full/10.1002/ana.25786
ER  -
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