Characterization of chronic active multiple sclerosis lesions with sodium (


Journal

European journal of neurology
ISSN: 1468-1331
Titre abrégé: Eur J Neurol
Pays: England
ID NLM: 9506311

Informations de publication

Date de publication:
07 2021
Historique:
received: 12 03 2021
accepted: 11 04 2021
pubmed: 18 4 2021
medline: 13 8 2021
entrez: 17 4 2021
Statut: ppublish

Résumé

There has been an increasing interest in chronic active multiple sclerosis (MS) lesions as a new magnetic resonance imaging (MRI) marker of disease progression. Chronic active lesions are characterized by progressive tissue matrix damage, axonal loss and chronic inflammation. Sodium ( To identify chronic active lesions, two 3D magnetization-prepared rapid acquisition gradient-echo datasets obtained 12 months apart were processed using the voxel-guided morphometry algorithm. Cross-sectional Overall, 70 MS lesions (21 chronic active, 10 shrinking, 29 chronic stable lesions, 10 acute contrast-enhancing lesions) in 12 patients were included. Total sodium concentration in chronic active lesions (49.57 ± 8.47 mM) was significantly higher than in shrinking (42.16 ± 3.9 mM; p = 0.03) and chronic stable lesions (39.92 ± 4.82 mM; p < 0.001). Chronic active lesions showed similar sodium values compared to acute contrast-enhancing lesions (48.06 ± 6.65 mM; p = 0.97). No differences between shrinking and chronic stable lesions were observed (p = 0.89). High sodium values in chronic active MS lesions may be an indicator of ongoing inflammation and tissue damage.

Sections du résumé

BACKGROUND AND PURPOSE
There has been an increasing interest in chronic active multiple sclerosis (MS) lesions as a new magnetic resonance imaging (MRI) marker of disease progression. Chronic active lesions are characterized by progressive tissue matrix damage, axonal loss and chronic inflammation. Sodium (
METHODS
To identify chronic active lesions, two 3D magnetization-prepared rapid acquisition gradient-echo datasets obtained 12 months apart were processed using the voxel-guided morphometry algorithm. Cross-sectional
RESULTS
Overall, 70 MS lesions (21 chronic active, 10 shrinking, 29 chronic stable lesions, 10 acute contrast-enhancing lesions) in 12 patients were included. Total sodium concentration in chronic active lesions (49.57 ± 8.47 mM) was significantly higher than in shrinking (42.16 ± 3.9 mM; p = 0.03) and chronic stable lesions (39.92 ± 4.82 mM; p < 0.001). Chronic active lesions showed similar sodium values compared to acute contrast-enhancing lesions (48.06 ± 6.65 mM; p = 0.97). No differences between shrinking and chronic stable lesions were observed (p = 0.89).
CONCLUSION
High sodium values in chronic active MS lesions may be an indicator of ongoing inflammation and tissue damage.

Identifiants

pubmed: 33864730
doi: 10.1111/ene.14873
doi:

Substances chimiques

Sodium 9NEZ333N27

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

2392-2395

Informations de copyright

© 2021 The Authors. European Journal of Neurology published by John Wiley & Sons Ltd on behalf of European Academy of Neurology.

Références

Eisele P, Konstandin S, Griebe M, et al. Heterogeneity of acute multiple sclerosis lesions on sodium (23Na) MRI. Mult Scler. 2016;22:1040-1047.
Eisele P, Konstandin S, Szabo K, et al. Temporal evolution of acute multiple sclerosis lesions on serial sodium ((23)Na) MRI. Mult Scler Relat Disord. 2019;29:48-54.
Absinta M, Sati P, Schindler M, et al. Persistent 7-tesla phase rim predicts poor outcome in new multiple sclerosis patient lesions. J Clin Invest. 2016;126:2597-2609.
Absinta M, Sati P, Masuzzo F, et al. Association of chronic active multiple sclerosis lesions with disability in vivo. JAMA Neurol. 2019;76:1474-1483.
Kraemer M, Schormann T, Hagemann G, Qi B, Witte OW, Seitz RJ. Delayed shrinkage of the brain after ischemic stroke: preliminary observations with voxel-guided morphometry. J Neuroimaging. 2004;14:265-272.

Auteurs

Philipp Eisele (P)

Department of Neurology, Medical Faculty Mannheim and Mannheim Center for Translational Neurosciences (MCTN), University of Heidelberg, Mannheim, Germany.

Matthias Kraemer (M)

Department of Neurology and Neurological Early Rehabilitation, Hospital zum Heiligen Geist, Kempen, Germany.
Brainalyze GbR, Köln, Germany.

Andreas Dabringhaus (A)

Brainalyze GbR, Köln, Germany.
Deutsches Institut für Medizinische Dokumentation und Information, Köln, Germany.

Claudia E Weber (CE)

Department of Neurology, Medical Faculty Mannheim and Mannheim Center for Translational Neurosciences (MCTN), University of Heidelberg, Mannheim, Germany.

Anne Ebert (A)

Department of Neurology, Medical Faculty Mannheim and Mannheim Center for Translational Neurosciences (MCTN), University of Heidelberg, Mannheim, Germany.

Michael Platten (M)

Department of Neurology, Medical Faculty Mannheim and Mannheim Center for Translational Neurosciences (MCTN), University of Heidelberg, Mannheim, Germany.

Lothar R Schad (LR)

Computer Assisted Clinical Medicine, Universitätsmedizin Mannheim, University of Heidelberg, Mannheim, Germany.

Achim Gass (A)

Department of Neurology, Medical Faculty Mannheim and Mannheim Center for Translational Neurosciences (MCTN), University of Heidelberg, Mannheim, Germany.

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