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Selective Brain Network and Cellular Responses Upon Dimethyl Fumarate Immunomodulation in Multiple Sclerosis
Background: Efficient personalized therapy paradigms are needed to modify the disease course and halt gray (GM) and white matter (WM) damage in patients with multiple sclerosis (MS). Presently, promising disease-modifying drugs show impressive efficiency, however, tailored markers of therapy respons...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6682686/ https://www.ncbi.nlm.nih.gov/pubmed/31417557 http://dx.doi.org/10.3389/fimmu.2019.01779 |
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author | Ciolac, Dumitru Luessi, Felix Gonzalez-Escamilla, Gabriel Koirala, Nabin Riedel, Christian Fleischer, Vinzenz Bittner, Stefan Krämer, Julia Meuth, Sven G. Muthuraman, Muthuraman Groppa, Sergiu |
author_facet | Ciolac, Dumitru Luessi, Felix Gonzalez-Escamilla, Gabriel Koirala, Nabin Riedel, Christian Fleischer, Vinzenz Bittner, Stefan Krämer, Julia Meuth, Sven G. Muthuraman, Muthuraman Groppa, Sergiu |
author_sort | Ciolac, Dumitru |
collection | PubMed |
description | Background: Efficient personalized therapy paradigms are needed to modify the disease course and halt gray (GM) and white matter (WM) damage in patients with multiple sclerosis (MS). Presently, promising disease-modifying drugs show impressive efficiency, however, tailored markers of therapy responses are required. Here, we aimed to detect in a real-world setting patients with a more favorable brain network response and immune cell dynamics upon dimethyl fumarate (DMF) treatment. Methods: In a cohort of 78 MS patients we identified two thoroughly matched groups, based on age, disease duration, disability status and lesion volume, receiving DMF (n = 42) and NAT (n = 36) and followed them over 16 months. The rate of cortical atrophy and deep GM volumes were quantified. GM and WM network responses were characterized by brain modularization as a marker of regional and global structural alterations. In the DMF group, lymphocyte subsets were analyzed by flow cytometry and related to clinical and MRI parameters. Results: Sixty percent (25 patients) of the DMF and 36% (13 patients) of the NAT group had disease activity during the study period. The rate of cortical atrophy was higher in the DMF group (−2.4%) compared to NAT (−2.1%, p < 0.05) group. GM and WM network dynamics presented increased modularization in both groups. When dividing the DMF-treated cohort into patients free of disease activity (n = 17, DMF(R)) and patients with disease activity (n = 25, DMF(NR)) these groups differed significantly in CD8+ cell depletion counts (DMF(R): 197.7 ± 97.1/μl; DMF(NR): 298.4 ± 190.6/μl, p = 0.03) and also in cortical atrophy (DMF(R): −1.7%; DMF(NR): −3.2%, p = 0.01). DMF(R) presented reduced longitudinal GM and WM modularization and less atrophy as markers of preserved structural global network integrity in comparison to DMF(NR) and even NAT patients. Conclusions: NAT treatment contributes to a reduced rate of cortical atrophy compared to DMF therapy. However, patients under DMF treatment with a stronger CD8+ T cell depletion present a more favorable response in terms of cortical integrity and GM and WM network responses. Our findings may serve as basis for the development of personalized treatment paradigms. |
format | Online Article Text |
id | pubmed-6682686 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-66826862019-08-15 Selective Brain Network and Cellular Responses Upon Dimethyl Fumarate Immunomodulation in Multiple Sclerosis Ciolac, Dumitru Luessi, Felix Gonzalez-Escamilla, Gabriel Koirala, Nabin Riedel, Christian Fleischer, Vinzenz Bittner, Stefan Krämer, Julia Meuth, Sven G. Muthuraman, Muthuraman Groppa, Sergiu Front Immunol Immunology Background: Efficient personalized therapy paradigms are needed to modify the disease course and halt gray (GM) and white matter (WM) damage in patients with multiple sclerosis (MS). Presently, promising disease-modifying drugs show impressive efficiency, however, tailored markers of therapy responses are required. Here, we aimed to detect in a real-world setting patients with a more favorable brain network response and immune cell dynamics upon dimethyl fumarate (DMF) treatment. Methods: In a cohort of 78 MS patients we identified two thoroughly matched groups, based on age, disease duration, disability status and lesion volume, receiving DMF (n = 42) and NAT (n = 36) and followed them over 16 months. The rate of cortical atrophy and deep GM volumes were quantified. GM and WM network responses were characterized by brain modularization as a marker of regional and global structural alterations. In the DMF group, lymphocyte subsets were analyzed by flow cytometry and related to clinical and MRI parameters. Results: Sixty percent (25 patients) of the DMF and 36% (13 patients) of the NAT group had disease activity during the study period. The rate of cortical atrophy was higher in the DMF group (−2.4%) compared to NAT (−2.1%, p < 0.05) group. GM and WM network dynamics presented increased modularization in both groups. When dividing the DMF-treated cohort into patients free of disease activity (n = 17, DMF(R)) and patients with disease activity (n = 25, DMF(NR)) these groups differed significantly in CD8+ cell depletion counts (DMF(R): 197.7 ± 97.1/μl; DMF(NR): 298.4 ± 190.6/μl, p = 0.03) and also in cortical atrophy (DMF(R): −1.7%; DMF(NR): −3.2%, p = 0.01). DMF(R) presented reduced longitudinal GM and WM modularization and less atrophy as markers of preserved structural global network integrity in comparison to DMF(NR) and even NAT patients. Conclusions: NAT treatment contributes to a reduced rate of cortical atrophy compared to DMF therapy. However, patients under DMF treatment with a stronger CD8+ T cell depletion present a more favorable response in terms of cortical integrity and GM and WM network responses. Our findings may serve as basis for the development of personalized treatment paradigms. Frontiers Media S.A. 2019-07-30 /pmc/articles/PMC6682686/ /pubmed/31417557 http://dx.doi.org/10.3389/fimmu.2019.01779 Text en Copyright © 2019 Ciolac, Luessi, Gonzalez-Escamilla, Koirala, Riedel, Fleischer, Bittner, Krämer, Meuth, Muthuraman and Groppa. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Immunology Ciolac, Dumitru Luessi, Felix Gonzalez-Escamilla, Gabriel Koirala, Nabin Riedel, Christian Fleischer, Vinzenz Bittner, Stefan Krämer, Julia Meuth, Sven G. Muthuraman, Muthuraman Groppa, Sergiu Selective Brain Network and Cellular Responses Upon Dimethyl Fumarate Immunomodulation in Multiple Sclerosis |
title | Selective Brain Network and Cellular Responses Upon Dimethyl Fumarate Immunomodulation in Multiple Sclerosis |
title_full | Selective Brain Network and Cellular Responses Upon Dimethyl Fumarate Immunomodulation in Multiple Sclerosis |
title_fullStr | Selective Brain Network and Cellular Responses Upon Dimethyl Fumarate Immunomodulation in Multiple Sclerosis |
title_full_unstemmed | Selective Brain Network and Cellular Responses Upon Dimethyl Fumarate Immunomodulation in Multiple Sclerosis |
title_short | Selective Brain Network and Cellular Responses Upon Dimethyl Fumarate Immunomodulation in Multiple Sclerosis |
title_sort | selective brain network and cellular responses upon dimethyl fumarate immunomodulation in multiple sclerosis |
topic | Immunology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6682686/ https://www.ncbi.nlm.nih.gov/pubmed/31417557 http://dx.doi.org/10.3389/fimmu.2019.01779 |
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