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Deformation-based morphometry identifies deep brain structures protected by ocrelizumab

BACKGROUND: Despite advancements in treatments for multiple sclerosis, insidious disease progression remains an area of unmet medical need, for which atrophy-based biomarkers may help better characterize the progressive biology. METHODS: We developed and applied a method of longitudinal deformation-...

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Autores principales: Song, Zhuang, Krishnan, Anithapriya, Gaetano, Laura, Tustison, Nicholas J., Clayton, David, de Crespigny, Alex, Bengtsson, Thomas, Jia, Xiaoming, Carano, Richard A.D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8861820/
https://www.ncbi.nlm.nih.gov/pubmed/35189455
http://dx.doi.org/10.1016/j.nicl.2022.102959
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author Song, Zhuang
Krishnan, Anithapriya
Gaetano, Laura
Tustison, Nicholas J.
Clayton, David
de Crespigny, Alex
Bengtsson, Thomas
Jia, Xiaoming
Carano, Richard A.D.
author_facet Song, Zhuang
Krishnan, Anithapriya
Gaetano, Laura
Tustison, Nicholas J.
Clayton, David
de Crespigny, Alex
Bengtsson, Thomas
Jia, Xiaoming
Carano, Richard A.D.
author_sort Song, Zhuang
collection PubMed
description BACKGROUND: Despite advancements in treatments for multiple sclerosis, insidious disease progression remains an area of unmet medical need, for which atrophy-based biomarkers may help better characterize the progressive biology. METHODS: We developed and applied a method of longitudinal deformation-based morphometry to provide voxel-level assessments of brain volume changes and identified brain regions that were significantly impacted by disease-modifying therapy. RESULTS: Using brain MRI data from two identically designed pivotal trials of relapsing multiple sclerosis (total N = 1483), we identified multiple deep brain regions, including the thalamus and brainstem, where volume loss over time was reduced by ocrelizumab (p < 0.05), a humanized anti-CD20 + monoclonal antibody approved for the treatment of multiple sclerosis. Additionally, identified brainstem shrinkage, as well as brain ventricle expansion, was associated with a greater risk for confirmed disability progression (p < 0.05). CONCLUSIONS: The identification of deep brain structures has a strong implication for developing new biomarkers of brain atrophy reduction to advance drug development for multiple sclerosis, which has an increasing focus on targeting the progressive biology.
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spelling pubmed-88618202022-03-02 Deformation-based morphometry identifies deep brain structures protected by ocrelizumab Song, Zhuang Krishnan, Anithapriya Gaetano, Laura Tustison, Nicholas J. Clayton, David de Crespigny, Alex Bengtsson, Thomas Jia, Xiaoming Carano, Richard A.D. Neuroimage Clin Regular Article BACKGROUND: Despite advancements in treatments for multiple sclerosis, insidious disease progression remains an area of unmet medical need, for which atrophy-based biomarkers may help better characterize the progressive biology. METHODS: We developed and applied a method of longitudinal deformation-based morphometry to provide voxel-level assessments of brain volume changes and identified brain regions that were significantly impacted by disease-modifying therapy. RESULTS: Using brain MRI data from two identically designed pivotal trials of relapsing multiple sclerosis (total N = 1483), we identified multiple deep brain regions, including the thalamus and brainstem, where volume loss over time was reduced by ocrelizumab (p < 0.05), a humanized anti-CD20 + monoclonal antibody approved for the treatment of multiple sclerosis. Additionally, identified brainstem shrinkage, as well as brain ventricle expansion, was associated with a greater risk for confirmed disability progression (p < 0.05). CONCLUSIONS: The identification of deep brain structures has a strong implication for developing new biomarkers of brain atrophy reduction to advance drug development for multiple sclerosis, which has an increasing focus on targeting the progressive biology. Elsevier 2022-02-14 /pmc/articles/PMC8861820/ /pubmed/35189455 http://dx.doi.org/10.1016/j.nicl.2022.102959 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Regular Article
Song, Zhuang
Krishnan, Anithapriya
Gaetano, Laura
Tustison, Nicholas J.
Clayton, David
de Crespigny, Alex
Bengtsson, Thomas
Jia, Xiaoming
Carano, Richard A.D.
Deformation-based morphometry identifies deep brain structures protected by ocrelizumab
title Deformation-based morphometry identifies deep brain structures protected by ocrelizumab
title_full Deformation-based morphometry identifies deep brain structures protected by ocrelizumab
title_fullStr Deformation-based morphometry identifies deep brain structures protected by ocrelizumab
title_full_unstemmed Deformation-based morphometry identifies deep brain structures protected by ocrelizumab
title_short Deformation-based morphometry identifies deep brain structures protected by ocrelizumab
title_sort deformation-based morphometry identifies deep brain structures protected by ocrelizumab
topic Regular Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8861820/
https://www.ncbi.nlm.nih.gov/pubmed/35189455
http://dx.doi.org/10.1016/j.nicl.2022.102959
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