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Multiple sclerosis as a model to investigate SARS-CoV-2 effect on brain atrophy.
Rebsamen, Michael; Friedli, Christoph; Radojewski, Piotr; Diem, Lara; Chan, Andrew; Wiest, Roland; Salmen, Anke; Rummel, Christian; Hoepner, Robert.
Afiliação
  • Rebsamen M; Support Center for Advanced Neuroimaging (SCAN), University Institute of Diagnostic and Interventional Neuroradiology, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland.
  • Friedli C; Graduate School for Cellular and Biomedical Sciences, University of Bern, Bern, Switzerland.
  • Radojewski P; Department of Neurology, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland.
  • Diem L; Support Center for Advanced Neuroimaging (SCAN), University Institute of Diagnostic and Interventional Neuroradiology, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland.
  • Chan A; Swiss Institute for Translational and Entrepreneurial Medicine, sitem-insel, Bern, Switzerland.
  • Wiest R; Department of Neurology, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland.
  • Salmen A; Department of Neurology, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland.
  • Rummel C; Support Center for Advanced Neuroimaging (SCAN), University Institute of Diagnostic and Interventional Neuroradiology, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland.
  • Hoepner R; Swiss Institute for Translational and Entrepreneurial Medicine, sitem-insel, Bern, Switzerland.
CNS Neurosci Ther ; 29(2): 538-543, 2023 02.
Article em En | MEDLINE | ID: mdl-36479826
ABSTRACT

INTRODUCTION:

Data on structural brain changes after infection with SARS-CoV-2 is sparse. We postulate multiple sclerosis as a model to study the effects of SARS-CoV-2 on brain atrophy due to the unique availability of longitudinal imaging data in this patient group, enabling assessment of intraindividual brain atrophy rates.

METHODS:

Global and regional cortical gray matter volumes were derived from structural MRIs using FreeSurfer. A linear model was fitted to the measures of the matching pre-SARS-CoV-2 images with age as an explanatory variable. The residuals were used to determine whether the post-SARS-CoV-2 volumes differed significantly from the baseline.

RESULTS:

Fourteen RRMS patients with a total of 113 longitudinal magnetic resonance images were retrospectively analyzed. We found no acceleration of brain atrophy after infection with SARS-CoV-2 for global gray matter volume (p = 0.17). However, on the regional level, parahippocampal gyri showed a tendency toward volume reduction (p = 0.0076), suggesting accelerated atrophy during or after infection.

CONCLUSIONS:

Our results illustrate the opportunity of using longitudinal MRIs from existing MS registries to study brain changes associated with SARS-CoV-2 infections. We would like to address the global MS community with a call for action to use the available cohorts, reproduce the proposed analysis, and pool the results.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Doenças do Sistema Nervoso Central / Esclerose Múltipla Recidivante-Remitente / COVID-19 / Esclerose Múltipla Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Doenças do Sistema Nervoso Central / Esclerose Múltipla Recidivante-Remitente / COVID-19 / Esclerose Múltipla Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article