Literature DB >> 25959392

Iron deposition in the gray matter in patients with relapse-remitting multiple sclerosis: A longitudinal study using three-dimensional (3D)-enhanced T2*-weighted angiography (ESWAN).

Silin Du1, Shambhu K Sah2, Chun Zeng3, Jingjie Wang4, Yi Liu5, Hua Xiong6, Yongmei Li7.   

Abstract

PURPOSE: To investigate the relationship between the iron content by magnetic resonance imaging (MRI) and clinic correlation in patients with relapse-remitting multiple sclerosis (RRMS) over a two-year period.
METHODS: Thirty RRMS patients and 30 healthy control subjects were examined twice, two years apart, by undergoing brain conventional MRI and three-dimensional (3D)-enhanced T2*-weighted angiography (ESWAN) sequences at 3.0T. Quantitative differences in iron content in deep gray matter (GM) nuclei and precentral gyrus GM between patients and control subjects with repeated-measures the mean phase values (MPVs) for ESWAN-filtered phase images. Spearman's rank correlation coefficient analysis was used to evaluate correlations of the MPVs, both 2-year-difference and single-time measurements, to disease duration, expanded disability status scale (EDSS) and times of recurrence.
RESULTS: The RRMS patients had higher GM iron concentration than that of the healthy control subjects in both single-time measurements, but only the substantia nigra (SN), and the precentral gyrus GM (PGM) showed a significant statistical difference (p<0.05). Using the paired samples t test, we found that there were significant differences in two-year-difference measurements of the MPVs in the putamen (PUT), the globus pallidus (GP), the head of the caudate nucleus (HCN), the thalamus (THA), SN, the red nucleus (RN), the dentate nucleus (DN) and PGM, especially in SN (t=2.92, p=0.007) in RRMS patients. The MPVs of the PUT, GP, HCN, THA, SN, RN, DN and PGM for the subgroup with RRMS patients in times of recurrence less than twice were similar to the healthy controls. There was no significant difference in all regions of interests (ROIs). However, there were significant differences in all ROIs except THA and GP for the other subgroup with RRMS patients in times of recurrence more than and equal to twice. Spearman's rank correlation coefficient analysis showed there were significant negative correlations between disease duration and the MPVs in the HCN (r=-0.516, p=0.004), DN (r=-0.468, p=0.009) and PGM (r=-0.84, p=0). However, no correlations were found between the EDSS scores and the MPVs.
CONCLUSIONS: Iron content in the GM can be measurable using MRI and our results confirmed that iron concentration was increasing in the GM of MS patients during two-year period compared to healthy controls. Furthermore, this study had also shown significant and substantial correlation of iron concentration with disease severity.
Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Gray matter; Iron deposition; Longitudinal; Multiple sclerosis; Susceptibility-weighted imaging

Mesh:

Substances:

Year:  2015        PMID: 25959392     DOI: 10.1016/j.ejrad.2015.04.013

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  9 in total

Review 1.  Dentate Update: Imaging Features of Entities That Affect the Dentate Nucleus.

Authors:  K M Bond; W Brinjikji; L J Eckel; D F Kallmes; R J McDonald; C M Carr
Journal:  AJNR Am J Neuroradiol       Date:  2017-04-13       Impact factor: 3.825

2.  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 3.  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

4.  Thalamic Iron Differentiates Primary-Progressive and Relapsing-Remitting Multiple Sclerosis.

Authors:  A Burgetova; P Dusek; M Vaneckova; D Horakova; C Langkammer; J Krasensky; L Sobisek; P Matras; M Masek; Z Seidl
Journal:  AJNR Am J Neuroradiol       Date:  2017-04-27       Impact factor: 3.825

Review 5.  Iron in Multiple Sclerosis and Its Noninvasive Imaging with Quantitative Susceptibility Mapping.

Authors:  Carsten Stüber; David Pitt; Yi Wang
Journal:  Int J Mol Sci       Date:  2016-01-14       Impact factor: 5.923

6.  Deep Gray Matter Iron Content in Neuromyelitis Optica and Multiple Sclerosis.

Authors:  Adam Pudlac; Andrea Burgetova; Petr Dusek; Petra Nytrova; Manuela Vaneckova; Dana Horakova; Jan Krasensky; Lukas Lambert
Journal:  Biomed Res Int       Date:  2020-05-19       Impact factor: 3.411

7.  Demyelination and remyelination detected in an alternative cuprizone mouse model of multiple sclerosis with 7.0 T multiparameter magnetic resonance imaging.

Authors:  Shuang Ding; Yu Guo; Xiaoya Chen; Silin Du; Yongliang Han; Zichun Yan; Qiyuan Zhu; Yongmei Li
Journal:  Sci Rep       Date:  2021-05-26       Impact factor: 4.379

8.  Genome-wide DNA methylation profiling of CD8+ T cells shows a distinct epigenetic signature to CD4+ T cells in multiple sclerosis patients.

Authors:  Vicki E Maltby; Moira C Graves; Rodney A Lea; Miles C Benton; Katherine A Sanders; Lotti Tajouri; Rodney J Scott; Jeannette Lechner-Scott
Journal:  Clin Epigenetics       Date:  2015-11-05       Impact factor: 6.551

9.  Optic radiations are thinner and show signs of iron deposition in patients with long-standing remitting-relapsing multiple sclerosis: an enhanced T2*-weighted angiography imaging study.

Authors:  Chun Zeng; Silin Du; Yongliang Han; Jialiang Fu; Qi Luo; Yayun Xiang; Xiaoya Chen; Tianyou Luo; Yongmei Li; Yineng Zheng
Journal:  Eur Radiol       Date:  2018-04-30       Impact factor: 5.315

  9 in total

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