Literature DB >> 25979698

Dynamics of brain iron levels in multiple sclerosis: A longitudinal 3T MRI study.

Michael Khalil1, Christian Langkammer2, Alexander Pichler2, Daniela Pinter2, Thomas Gattringer2, Gerhard Bachmaier2, Stefan Ropele2, Siegrid Fuchs2, Christian Enzinger2, Franz Fazekas2.   

Abstract

OBJECTIVE: We investigated longitudinal changes in iron concentration in the subcortical gray matter (caudate nucleus, globus pallidus, putamen, thalamus) of patients with clinically isolated syndrome (CIS) and definite multiple sclerosis (MS) and their relation to clinical and other morphologic variables.
METHODS: We followed 144 patients (76 CIS; median Expanded Disability Status Scale [EDSS] 1.0 [interquartile range (IQR) 0.0-2.0]; 68 MS; median EDSS 2.0 [IQR 1.0-3.3]) clinically and with 3T MRI over a median period of 2.9 (IQR 1.3-4.0) years. Iron concentration was determined by R2* relaxometry at baseline and last follow-up.
RESULTS: At baseline, subcortical gray matter iron deposition was higher in MS compared to CIS. In CIS, R2* rates increased in the globus pallidus (p < 0.001), putamen (p < 0.001), and caudate nucleus (p < 0.001), whereas R2* rates in the thalamus decreased (p < 0.05). In MS, R2* rates increased in the putamen (p < 0.05), remained stable in the globus pallidus and caudate nucleus, and decreased in the thalamus (p < 0.01). Changes in R2* relaxation rates were unrelated to changes in the volume of respective structures, of T2 lesion load, and of disability.
CONCLUSIONS: Iron accumulation in the basal ganglia is more pronounced in the early than later phases of the disease and occurs independent from other morphologic brain changes. Short-term changes in iron concentration are not associated with disease activity or changes in disability.
© 2015 American Academy of Neurology.

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Year:  2015        PMID: 25979698     DOI: 10.1212/WNL.0000000000001679

Source DB:  PubMed          Journal:  Neurology        ISSN: 0028-3878            Impact factor:   9.910


  22 in total

Review 1.  Nonconventional MRI and microstructural cerebral changes in multiple sclerosis.

Authors:  Christian Enzinger; Frederik Barkhof; Olga Ciccarelli; Massimo Filippi; Ludwig Kappos; Maria A Rocca; Stefan Ropele; Àlex Rovira; Torben Schneider; Nicola de Stefano; Hugo Vrenken; Claudia Wheeler-Kingshott; Jens Wuerfel; Franz Fazekas
Journal:  Nat Rev Neurol       Date:  2015-11-03       Impact factor: 42.937

2.  Heterogeneity of Cortical Lesion Susceptibility Mapping in Multiple Sclerosis.

Authors:  M Castellaro; R Magliozzi; A Palombit; M Pitteri; E Silvestri; V Camera; S Montemezzi; F B Pizzini; A Bertoldo; R Reynolds; S Monaco; M Calabrese
Journal:  AJNR Am J Neuroradiol       Date:  2017-04-13       Impact factor: 3.825

3.  Targeting Iron Dyshomeostasis for Treatment of Neurodegenerative Disorders.

Authors:  Niels Bergsland; Eleonora Tavazzi; Ferdinand Schweser; Dejan Jakimovski; Jesper Hagemeier; Michael G Dwyer; Robert Zivadinov
Journal:  CNS Drugs       Date:  2019-11       Impact factor: 5.749

4.  Mapping of thalamic magnetic susceptibility in multiple sclerosis indicates decreasing iron with disease duration: A proposed mechanistic relationship between inflammation and oligodendrocyte vitality.

Authors:  Ferdinand Schweser; Ana Luiza Raffaini Duarte Martins; Jesper Hagemeier; Fuchun Lin; Jannis Hanspach; Bianca Weinstock-Guttman; Simon Hametner; Niels Bergsland; Michael G Dwyer; Robert Zivadinov
Journal:  Neuroimage       Date:  2017-10-31       Impact factor: 6.556

Review 5.  Magnetic Resonance Imaging in Multiple Sclerosis.

Authors:  Christopher C Hemond; Rohit Bakshi
Journal:  Cold Spring Harb Perspect Med       Date:  2018-05-01       Impact factor: 6.915

6.  Fractional anisotropy of white matter, disability and blood iron parameters in multiple sclerosis.

Authors:  Estelle Herbert; Penelope Engel-Hills; Coenraad Hattingh; Jean-Paul Fouche; Martin Kidd; Christine Lochner; Maritha J Kotze; Susan J van Rensburg
Journal:  Metab Brain Dis       Date:  2018-02-02       Impact factor: 3.584

7.  Quantitative Susceptibility Mapping of the Thalamus: Relationships with Thalamic Volume, Total Gray Matter Volume, and T2 Lesion Burden.

Authors:  G C Chiang; J Hu; E Morris; Y Wang; S A Gauthier
Journal:  AJNR Am J Neuroradiol       Date:  2018-01-25       Impact factor: 3.825

Review 8.  Appraising the Role of Iron in Brain Aging and Cognition: Promises and Limitations of MRI Methods.

Authors:  Ana M Daugherty; Naftali Raz
Journal:  Neuropsychol Rev       Date:  2015-08-07       Impact factor: 7.444

9.  Volume loss in the deep gray matter and thalamic subnuclei: a longitudinal study on disability progression in multiple sclerosis.

Authors:  Stefano Magon; Charidimos Tsagkas; Laura Gaetano; Raihaan Patel; Yvonne Naegelin; Michael Amann; Katrin Parmar; Athina Papadopoulou; Jens Wuerfel; Christoph Stippich; Ludwig Kappos; M Mallar Chakravarty; Till Sprenger
Journal:  J Neurol       Date:  2020-02-10       Impact factor: 4.849

10.  Brain Iron at Quantitative MRI Is Associated with Disability in Multiple Sclerosis.

Authors:  Robert Zivadinov; Eleonora Tavazzi; Niels Bergsland; Jesper Hagemeier; Fuchun Lin; Michael G Dwyer; Ellen Carl; Channa Kolb; David Hojnacki; Deepa Ramasamy; Jacqueline Durfee; Bianca Weinstock-Guttman; Ferdinand Schweser
Journal:  Radiology       Date:  2018-07-17       Impact factor: 11.105

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