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Deep gray matter volume loss drives disability worsening in multiple sclerosis
OBJECTIVE: Gray matter (GM) atrophy occurs in all multiple sclerosis (MS) phenotypes. We investigated whether there is a spatiotemporal pattern of GM atrophy that is associated with faster disability accumulation in MS. METHODS: We analyzed 3,604 brain high‐resolution T1‐weighted magnetic resonance...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5838522/ https://www.ncbi.nlm.nih.gov/pubmed/29331092 http://dx.doi.org/10.1002/ana.25145 |
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author | Eshaghi, Arman Prados, Ferran Brownlee, Wallace J. Altmann, Daniel R. Tur, Carmen Cardoso, M. Jorge De Angelis, Floriana van de Pavert, Steven H. Cawley, Niamh De Stefano, Nicola Stromillo, M. Laura Battaglini, Marco Ruggieri, Serena Gasperini, Claudio Filippi, Massimo Rocca, Maria A. Rovira, Alex Sastre‐Garriga, Jaume Vrenken, Hugo Leurs, Cyra E. Killestein, Joep Pirpamer, Lukas Enzinger, Christian Ourselin, Sebastien Wheeler‐Kingshott, Claudia A.M. Gandini Chard, Declan Thompson, Alan J. Alexander, Daniel C. Barkhof, Frederik Ciccarelli, Olga |
author_facet | Eshaghi, Arman Prados, Ferran Brownlee, Wallace J. Altmann, Daniel R. Tur, Carmen Cardoso, M. Jorge De Angelis, Floriana van de Pavert, Steven H. Cawley, Niamh De Stefano, Nicola Stromillo, M. Laura Battaglini, Marco Ruggieri, Serena Gasperini, Claudio Filippi, Massimo Rocca, Maria A. Rovira, Alex Sastre‐Garriga, Jaume Vrenken, Hugo Leurs, Cyra E. Killestein, Joep Pirpamer, Lukas Enzinger, Christian Ourselin, Sebastien Wheeler‐Kingshott, Claudia A.M. Gandini Chard, Declan Thompson, Alan J. Alexander, Daniel C. Barkhof, Frederik Ciccarelli, Olga |
author_sort | Eshaghi, Arman |
collection | PubMed |
description | OBJECTIVE: Gray matter (GM) atrophy occurs in all multiple sclerosis (MS) phenotypes. We investigated whether there is a spatiotemporal pattern of GM atrophy that is associated with faster disability accumulation in MS. METHODS: We analyzed 3,604 brain high‐resolution T1‐weighted magnetic resonance imaging scans from 1,417 participants: 1,214 MS patients (253 clinically isolated syndrome [CIS], 708 relapsing‐remitting [RRMS], 128 secondary‐progressive [SPMS], and 125 primary‐progressive [PPMS]), over an average follow‐up of 2.41 years (standard deviation [SD] = 1.97), and 203 healthy controls (HCs; average follow‐up = 1.83 year; SD = 1.77), attending seven European centers. Disability was assessed with the Expanded Disability Status Scale (EDSS). We obtained volumes of the deep GM (DGM), temporal, frontal, parietal, occipital and cerebellar GM, brainstem, and cerebral white matter. Hierarchical mixed models assessed annual percentage rate of regional tissue loss and identified regional volumes associated with time‐to‐EDSS progression. RESULTS: SPMS showed the lowest baseline volumes of cortical GM and DGM. Of all baseline regional volumes, only that of the DGM predicted time‐to‐EDSS progression (hazard ratio = 0.73; 95% confidence interval, 0.65, 0.82; p < 0.001): for every standard deviation decrease in baseline DGM volume, the risk of presenting a shorter time to EDSS worsening during follow‐up increased by 27%. Of all longitudinal measures, DGM showed the fastest annual rate of atrophy, which was faster in SPMS (–1.45%), PPMS (–1.66%), and RRMS (–1.34%) than CIS (–0.88%) and HCs (–0.94%; p < 0.01). The rate of temporal GM atrophy in SPMS (–1.21%) was significantly faster than RRMS (–0.76%), CIS (–0.75%), and HCs (–0.51%). Similarly, the rate of parietal GM atrophy in SPMS (–1.24‐%) was faster than CIS (–0.63%) and HCs (–0.23%; all p values <0.05). Only the atrophy rate in DGM in patients was significantly associated with disability accumulation (beta = 0.04; p < 0.001). INTERPRETATION: This large, multicenter and longitudinal study shows that DGM volume loss drives disability accumulation in MS, and that temporal cortical GM shows accelerated atrophy in SPMS than RRMS. The difference in regional GM atrophy development between phenotypes needs to be taken into account when evaluating treatment effect of therapeutic interventions. Ann Neurol 2018;83:210–222 |
format | Online Article Text |
id | pubmed-5838522 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-58385222018-03-12 Deep gray matter volume loss drives disability worsening in multiple sclerosis Eshaghi, Arman Prados, Ferran Brownlee, Wallace J. Altmann, Daniel R. Tur, Carmen Cardoso, M. Jorge De Angelis, Floriana van de Pavert, Steven H. Cawley, Niamh De Stefano, Nicola Stromillo, M. Laura Battaglini, Marco Ruggieri, Serena Gasperini, Claudio Filippi, Massimo Rocca, Maria A. Rovira, Alex Sastre‐Garriga, Jaume Vrenken, Hugo Leurs, Cyra E. Killestein, Joep Pirpamer, Lukas Enzinger, Christian Ourselin, Sebastien Wheeler‐Kingshott, Claudia A.M. Gandini Chard, Declan Thompson, Alan J. Alexander, Daniel C. Barkhof, Frederik Ciccarelli, Olga Ann Neurol Research Articles OBJECTIVE: Gray matter (GM) atrophy occurs in all multiple sclerosis (MS) phenotypes. We investigated whether there is a spatiotemporal pattern of GM atrophy that is associated with faster disability accumulation in MS. METHODS: We analyzed 3,604 brain high‐resolution T1‐weighted magnetic resonance imaging scans from 1,417 participants: 1,214 MS patients (253 clinically isolated syndrome [CIS], 708 relapsing‐remitting [RRMS], 128 secondary‐progressive [SPMS], and 125 primary‐progressive [PPMS]), over an average follow‐up of 2.41 years (standard deviation [SD] = 1.97), and 203 healthy controls (HCs; average follow‐up = 1.83 year; SD = 1.77), attending seven European centers. Disability was assessed with the Expanded Disability Status Scale (EDSS). We obtained volumes of the deep GM (DGM), temporal, frontal, parietal, occipital and cerebellar GM, brainstem, and cerebral white matter. Hierarchical mixed models assessed annual percentage rate of regional tissue loss and identified regional volumes associated with time‐to‐EDSS progression. RESULTS: SPMS showed the lowest baseline volumes of cortical GM and DGM. Of all baseline regional volumes, only that of the DGM predicted time‐to‐EDSS progression (hazard ratio = 0.73; 95% confidence interval, 0.65, 0.82; p < 0.001): for every standard deviation decrease in baseline DGM volume, the risk of presenting a shorter time to EDSS worsening during follow‐up increased by 27%. Of all longitudinal measures, DGM showed the fastest annual rate of atrophy, which was faster in SPMS (–1.45%), PPMS (–1.66%), and RRMS (–1.34%) than CIS (–0.88%) and HCs (–0.94%; p < 0.01). The rate of temporal GM atrophy in SPMS (–1.21%) was significantly faster than RRMS (–0.76%), CIS (–0.75%), and HCs (–0.51%). Similarly, the rate of parietal GM atrophy in SPMS (–1.24‐%) was faster than CIS (–0.63%) and HCs (–0.23%; all p values <0.05). Only the atrophy rate in DGM in patients was significantly associated with disability accumulation (beta = 0.04; p < 0.001). INTERPRETATION: This large, multicenter and longitudinal study shows that DGM volume loss drives disability accumulation in MS, and that temporal cortical GM shows accelerated atrophy in SPMS than RRMS. The difference in regional GM atrophy development between phenotypes needs to be taken into account when evaluating treatment effect of therapeutic interventions. Ann Neurol 2018;83:210–222 John Wiley and Sons Inc. 2018-02-06 2018-02 /pmc/articles/PMC5838522/ /pubmed/29331092 http://dx.doi.org/10.1002/ana.25145 Text en © 2018 The Authors Annals of Neurology published by Wiley Periodicals, Inc. on behalf of American Neurological Association This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial (http://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. |
spellingShingle | Research Articles Eshaghi, Arman Prados, Ferran Brownlee, Wallace J. Altmann, Daniel R. Tur, Carmen Cardoso, M. Jorge De Angelis, Floriana van de Pavert, Steven H. Cawley, Niamh De Stefano, Nicola Stromillo, M. Laura Battaglini, Marco Ruggieri, Serena Gasperini, Claudio Filippi, Massimo Rocca, Maria A. Rovira, Alex Sastre‐Garriga, Jaume Vrenken, Hugo Leurs, Cyra E. Killestein, Joep Pirpamer, Lukas Enzinger, Christian Ourselin, Sebastien Wheeler‐Kingshott, Claudia A.M. Gandini Chard, Declan Thompson, Alan J. Alexander, Daniel C. Barkhof, Frederik Ciccarelli, Olga Deep gray matter volume loss drives disability worsening in multiple sclerosis |
title | Deep gray matter volume loss drives disability worsening in multiple sclerosis |
title_full | Deep gray matter volume loss drives disability worsening in multiple sclerosis |
title_fullStr | Deep gray matter volume loss drives disability worsening in multiple sclerosis |
title_full_unstemmed | Deep gray matter volume loss drives disability worsening in multiple sclerosis |
title_short | Deep gray matter volume loss drives disability worsening in multiple sclerosis |
title_sort | deep gray matter volume loss drives disability worsening in multiple sclerosis |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5838522/ https://www.ncbi.nlm.nih.gov/pubmed/29331092 http://dx.doi.org/10.1002/ana.25145 |
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