Toward precision phenotyping of multiple sclerosis
The classification of multiple sclerosis (MS) has been established by Lublin in 1996 and revised in 2013. The revision includes clinically isolated syndrome, relapsing-remitting, primary progressive and secondary progressive MS, and has added activity (i.e., formation of white matter lesions or clin...
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sg-ntu-dr.10356-1644282023-03-05T16:54:09Z Toward precision phenotyping of multiple sclerosis Pitt, David Lo, Chih Hung Gauthier, Susan A. Hickman, Richard A. Longbrake, Erin Airas, Laura M. Mao-Draayer, Yang Riley, Claire De Jager, Philip Lawrence Wesley, Sarah Boster, Aaron Topalli, Ilir Bagnato, Francesca Mansoor, Mohammad Stuve, Olaf Kister, Ilya Pelletier, Daniel Stathopoulos, Panos Dutta, Ranjan Lincoln, Matthew R. Lee Kong Chian School of Medicine (LKCMedicine) Science::Medicine Multiple Sclerosis Neurologic Disease The classification of multiple sclerosis (MS) has been established by Lublin in 1996 and revised in 2013. The revision includes clinically isolated syndrome, relapsing-remitting, primary progressive and secondary progressive MS, and has added activity (i.e., formation of white matter lesions or clinical relapses) as a qualifier. This allows for the distinction between active and nonactive progression, which has been shown to be of clinical importance. We propose that a logical extension of this classification is the incorporation of additional key pathological processes, such as chronic perilesional inflammation, neuroaxonal degeneration, and remyelination. This will distinguish MS phenotypes that may present as clinically identical but are driven by different combinations of pathological processes. A more precise description of MS phenotypes will improve prognostication and personalized care as well as clinical trial design. Thus, our proposal provides an expanded framework for conceptualizing MS and for guiding development of biomarkers for monitoring activity along the main pathological axes in MS. Published version Study Funding: Supported in part by NIH grants R01 NS102267 and R01 NS112907 (D.P.) and a career transition fellowship from the Consortium of Multiple Sclerosis Centers and the National Multiple Sclerosis Society (M.R.L.). The Article Processing Charge was funded by the authors. 2023-01-25T01:06:41Z 2023-01-25T01:06:41Z 2022 Journal Article Pitt, D., Lo, C. H., Gauthier, S. A., Hickman, R. A., Longbrake, E., Airas, L. M., Mao-Draayer, Y., Riley, C., De Jager, P. L., Wesley, S., Boster, A., Topalli, I., Bagnato, F., Mansoor, M., Stuve, O., Kister, I., Pelletier, D., Stathopoulos, P., Dutta, R. & Lincoln, M. R. (2022). Toward precision phenotyping of multiple sclerosis. Neurology® Neuroimmunology & Neuroinflammation, 9(6), e200025-. https://dx.doi.org/10.1212/NXI.0000000000200025 2332-7812 https://hdl.handle.net/10356/164428 10.1212/NXI.0000000000200025 36041861 2-s2.0-85136992193 6 9 e200025 en Neurology® Neuroimmunology & Neuroinflammation © 2022 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the American Academy of Neurology. This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND), which permits downloading and sharing the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. application/pdf |
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Science::Medicine Multiple Sclerosis Neurologic Disease Pitt, David Lo, Chih Hung Gauthier, Susan A. Hickman, Richard A. Longbrake, Erin Airas, Laura M. Mao-Draayer, Yang Riley, Claire De Jager, Philip Lawrence Wesley, Sarah Boster, Aaron Topalli, Ilir Bagnato, Francesca Mansoor, Mohammad Stuve, Olaf Kister, Ilya Pelletier, Daniel Stathopoulos, Panos Dutta, Ranjan Lincoln, Matthew R. Toward precision phenotyping of multiple sclerosis |
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The classification of multiple sclerosis (MS) has been established by Lublin in 1996 and revised in 2013. The revision includes clinically isolated syndrome, relapsing-remitting, primary progressive and secondary progressive MS, and has added activity (i.e., formation of white matter lesions or clinical relapses) as a qualifier. This allows for the distinction between active and nonactive progression, which has been shown to be of clinical importance. We propose that a logical extension of this classification is the incorporation of additional key pathological processes, such as chronic perilesional inflammation, neuroaxonal degeneration, and remyelination. This will distinguish MS phenotypes that may present as clinically identical but are driven by different combinations of pathological processes. A more precise description of MS phenotypes will improve prognostication and personalized care as well as clinical trial design. Thus, our proposal provides an expanded framework for conceptualizing MS and for guiding development of biomarkers for monitoring activity along the main pathological axes in MS. |
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Lee Kong Chian School of Medicine (LKCMedicine) |
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Lee Kong Chian School of Medicine (LKCMedicine) Pitt, David Lo, Chih Hung Gauthier, Susan A. Hickman, Richard A. Longbrake, Erin Airas, Laura M. Mao-Draayer, Yang Riley, Claire De Jager, Philip Lawrence Wesley, Sarah Boster, Aaron Topalli, Ilir Bagnato, Francesca Mansoor, Mohammad Stuve, Olaf Kister, Ilya Pelletier, Daniel Stathopoulos, Panos Dutta, Ranjan Lincoln, Matthew R. |
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Article |
author |
Pitt, David Lo, Chih Hung Gauthier, Susan A. Hickman, Richard A. Longbrake, Erin Airas, Laura M. Mao-Draayer, Yang Riley, Claire De Jager, Philip Lawrence Wesley, Sarah Boster, Aaron Topalli, Ilir Bagnato, Francesca Mansoor, Mohammad Stuve, Olaf Kister, Ilya Pelletier, Daniel Stathopoulos, Panos Dutta, Ranjan Lincoln, Matthew R. |
author_sort |
Pitt, David |
title |
Toward precision phenotyping of multiple sclerosis |
title_short |
Toward precision phenotyping of multiple sclerosis |
title_full |
Toward precision phenotyping of multiple sclerosis |
title_fullStr |
Toward precision phenotyping of multiple sclerosis |
title_full_unstemmed |
Toward precision phenotyping of multiple sclerosis |
title_sort |
toward precision phenotyping of multiple sclerosis |
publishDate |
2023 |
url |
https://hdl.handle.net/10356/164428 |
_version_ |
1759853918779604992 |