Quantitative MRI phenotypes capture biological heterogeneity in multiple sclerosis patients

Abstract Magnetization transfer ratio (MTR) and brain volumetric imaging are (semi-)quantitative MRI markers capturing demyelination, axonal degeneration and/or inflammation. However, factors shaping variation in these traits are largely unknown. In this study, we collected a longitudinal cohort of...

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Autores principales:	Ide Smets, An Goris, Marijne Vandebergh, Jelle Demeestere, Stefan Sunaert, Patrick Dupont, Bénédicte Dubois
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/4866676d871f44caa8029a87fe1be5e5
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spelling	oai:doaj.org-article:4866676d871f44caa8029a87fe1be5e52021-12-02T15:22:57ZQuantitative MRI phenotypes capture biological heterogeneity in multiple sclerosis patients10.1038/s41598-021-81035-82045-2322https://doaj.org/article/4866676d871f44caa8029a87fe1be5e52021-01-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-81035-8https://doaj.org/toc/2045-2322Abstract Magnetization transfer ratio (MTR) and brain volumetric imaging are (semi-)quantitative MRI markers capturing demyelination, axonal degeneration and/or inflammation. However, factors shaping variation in these traits are largely unknown. In this study, we collected a longitudinal cohort of 33 multiple sclerosis (MS) patients and extended it cross-sectionally to 213. We measured MTR in lesions, normal-appearing white matter (NAWM), normal-appearing grey matter (NAGM) and total brain, grey matter, white matter and lesion volume. We also calculated the polygenic MS risk score. Longitudinally, inter-patient differences at inclusion and intra-patient changes during follow-up together explained > 70% of variance in MRI, with inter-patient differences at inclusion being the predominant source of variance. Cross-sectionally, we observed a moderate correlation of MTR between NAGM and NAWM and, less pronounced, with lesions. Age and gender explained about 30% of variance in total brain and grey matter volume. However, they contributed less than 10% to variance in MTR measures. There were no significant associations between MRI traits and the genetic risk score. In conclusion, (semi-)quantitative MRI traits change with ongoing disease activity but this change is modest in comparison to pre-existing inter-patient differences. These traits reflect individual variation in biological processes, which appear different from those involved in genetic MS susceptibility.Ide SmetsAn GorisMarijne VandeberghJelle DemeestereStefan SunaertPatrick DupontBénédicte DuboisNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Ide Smets An Goris Marijne Vandebergh Jelle Demeestere Stefan Sunaert Patrick Dupont Bénédicte Dubois Quantitative MRI phenotypes capture biological heterogeneity in multiple sclerosis patients
description	Abstract Magnetization transfer ratio (MTR) and brain volumetric imaging are (semi-)quantitative MRI markers capturing demyelination, axonal degeneration and/or inflammation. However, factors shaping variation in these traits are largely unknown. In this study, we collected a longitudinal cohort of 33 multiple sclerosis (MS) patients and extended it cross-sectionally to 213. We measured MTR in lesions, normal-appearing white matter (NAWM), normal-appearing grey matter (NAGM) and total brain, grey matter, white matter and lesion volume. We also calculated the polygenic MS risk score. Longitudinally, inter-patient differences at inclusion and intra-patient changes during follow-up together explained > 70% of variance in MRI, with inter-patient differences at inclusion being the predominant source of variance. Cross-sectionally, we observed a moderate correlation of MTR between NAGM and NAWM and, less pronounced, with lesions. Age and gender explained about 30% of variance in total brain and grey matter volume. However, they contributed less than 10% to variance in MTR measures. There were no significant associations between MRI traits and the genetic risk score. In conclusion, (semi-)quantitative MRI traits change with ongoing disease activity but this change is modest in comparison to pre-existing inter-patient differences. These traits reflect individual variation in biological processes, which appear different from those involved in genetic MS susceptibility.
format	article
author	Ide Smets An Goris Marijne Vandebergh Jelle Demeestere Stefan Sunaert Patrick Dupont Bénédicte Dubois
author_facet	Ide Smets An Goris Marijne Vandebergh Jelle Demeestere Stefan Sunaert Patrick Dupont Bénédicte Dubois
author_sort	Ide Smets
title	Quantitative MRI phenotypes capture biological heterogeneity in multiple sclerosis patients
title_short	Quantitative MRI phenotypes capture biological heterogeneity in multiple sclerosis patients
title_full	Quantitative MRI phenotypes capture biological heterogeneity in multiple sclerosis patients
title_fullStr	Quantitative MRI phenotypes capture biological heterogeneity in multiple sclerosis patients
title_full_unstemmed	Quantitative MRI phenotypes capture biological heterogeneity in multiple sclerosis patients
title_sort	quantitative mri phenotypes capture biological heterogeneity in multiple sclerosis patients
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/4866676d871f44caa8029a87fe1be5e5
work_keys_str_mv	AT idesmets quantitativemriphenotypescapturebiologicalheterogeneityinmultiplesclerosispatients AT angoris quantitativemriphenotypescapturebiologicalheterogeneityinmultiplesclerosispatients AT marijnevandebergh quantitativemriphenotypescapturebiologicalheterogeneityinmultiplesclerosispatients AT jelledemeestere quantitativemriphenotypescapturebiologicalheterogeneityinmultiplesclerosispatients AT stefansunaert quantitativemriphenotypescapturebiologicalheterogeneityinmultiplesclerosispatients AT patrickdupont quantitativemriphenotypescapturebiologicalheterogeneityinmultiplesclerosispatients AT benedictedubois quantitativemriphenotypescapturebiologicalheterogeneityinmultiplesclerosispatients
_version_	1718387380303429632

Quantitative MRI phenotypes capture biological heterogeneity in multiple sclerosis patients

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