Literature DB >> 22171355

Tracking iron in multiple sclerosis: a combined imaging and histopathological study at 7 Tesla.

Francesca Bagnato1, Simon Hametner, Bing Yao, Peter van Gelderen, Hellmut Merkle, Fredric K Cantor, Hans Lassmann, Jeff H Duyn.   

Abstract

Previous authors have shown that the transverse relaxivity R(2)* and frequency shifts that characterize gradient echo signal decay in magnetic resonance imaging are closely associated with the distribution of iron and myelin in the brain's white matter. In multiple sclerosis, iron accumulation in brain tissue may reflect a multiplicity of pathological processes. Hence, iron may have the unique potential to serve as an in vivo magnetic resonance imaging tracer of disease pathology. To investigate the ability of iron in tracking multiple sclerosis-induced pathology by magnetic resonance imaging, we performed qualitative histopathological analysis of white matter lesions and normal-appearing white matter regions with variable appearance on gradient echo magnetic resonance imaging at 7 Tesla. The samples used for this study derive from two patients with multiple sclerosis and one non-multiple sclerosis donor. Magnetic resonance images were acquired using a whole body 7 Tesla magnetic resonance imaging scanner equipped with a 24-channel receive-only array designed for tissue imaging. A 3D multi-gradient echo sequence was obtained and quantitative R(2)* and phase maps were reconstructed. Immunohistochemical stainings for myelin and oligodendrocytes, microglia and macrophages, ferritin and ferritin light polypeptide were performed on 3- to 5-µm thick paraffin sections. Iron was detected with Perl's staining and 3,3'-diaminobenzidine-tetrahydrochloride enhanced Turnbull blue staining. In multiple sclerosis tissue, iron presence invariably matched with an increase in R(2)*. Conversely, R(2)* increase was not always associated with the presence of iron on histochemical staining. We interpret this finding as the effect of embedding, sectioning and staining procedures. These processes likely affected the histopathological analysis results but not the magnetic resonance imaging that was obtained before tissue manipulations. Several cellular sources of iron were identified. These sources included oligodendrocytes in normal-appearing white matter and activated macrophages/microglia at the edges of white matter lesions. Additionally, in white matter lesions, iron precipitation in aggregates typical of microbleeds was shown by the Perl's staining. Our combined imaging and pathological study shows that multi-gradient echo magnetic resonance imaging is a sensitive technique for the identification of iron in the brain tissue of patients with multiple sclerosis. However, magnetic resonance imaging-identified iron does not necessarily reflect pathology and may also be seen in apparently normal tissue. Iron identification by multi-gradient echo magnetic resonance imaging in diseased tissues can shed light on the pathological processes when coupled with topographical information and patient disease history.

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Year:  2011        PMID: 22171355      PMCID: PMC3235560          DOI: 10.1093/brain/awr278

Source DB:  PubMed          Journal:  Brain        ISSN: 0006-8950            Impact factor:   13.501


  62 in total

1.  Immunopathology of secondary-progressive multiple sclerosis.

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2.  Enhanced gray and white matter contrast of phase susceptibility-weighted images in ultra-high-field magnetic resonance imaging.

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Review 3.  Iron and the immune system.

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Journal:  AJR Am J Roentgenol       Date:  1986-07       Impact factor: 3.959

5.  Perivascular iron deposition and other vascular damage in multiple sclerosis.

Authors:  C W Adams
Journal:  J Neurol Neurosurg Psychiatry       Date:  1988-02       Impact factor: 10.154

6.  Increased cellular iron levels affect matrix metalloproteinase expression and phagocytosis in activated microglia.

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7.  T2*-based fiber orientation mapping.

Authors:  Jongho Lee; Peter van Gelderen; Li-Wei Kuo; Hellmut Merkle; Afonso C Silva; Jeff H Duyn
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Review 8.  The role of iron in the pathogenesis of experimental allergic encephalomyelitis and multiple sclerosis.

Authors:  Steven M LeVine; Anuradha Chakrabarty
Journal:  Ann N Y Acad Sci       Date:  2004-03       Impact factor: 5.691

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Authors:  J C Walton; J C Kaufmann
Journal:  Arch Pathol Lab Med       Date:  1984-09       Impact factor: 5.534

10.  Iron deposits surrounding multiple sclerosis plaques.

Authors:  W Craelius; M W Migdal; C P Luessenhop; A Sugar; I Mihalakis
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  126 in total

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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
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3.  Ultra-high-field (7.0 Tesla and above) MRI is now necessary to make the next step forward in understanding MS pathophysiology - YES.

Authors:  Francesca Bagnato; John C Gore
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4.  Persistent 7-tesla phase rim predicts poor outcome in new multiple sclerosis patient lesions.

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5.  Quantitative susceptibility mapping identifies inflammation in a subset of chronic multiple sclerosis lesions.

Authors:  Ulrike W Kaunzner; Yeona Kang; Shun Zhang; Eric Morris; Yihao Yao; Sneha Pandya; Sandra M Hurtado Rua; Calvin Park; Kelly M Gillen; Thanh D Nguyen; Yi Wang; David Pitt; Susan A Gauthier
Journal:  Brain       Date:  2019-01-01       Impact factor: 13.501

6.  Veins in plaques of multiple sclerosis patients - a longitudinal magnetic resonance imaging study at 7 Tesla.

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Journal:  Eur Radiol       Date:  2015-04-23       Impact factor: 5.315

Review 7.  Evidence-based guidelines: MAGNIMS consensus guidelines on the use of MRI in multiple sclerosis-clinical implementation in the diagnostic process.

Authors:  Àlex Rovira; Mike P Wattjes; Mar Tintoré; Carmen Tur; Tarek A Yousry; Maria P Sormani; Nicola De Stefano; Massimo Filippi; Cristina Auger; Maria A Rocca; Frederik Barkhof; Franz Fazekas; Ludwig Kappos; Chris Polman; David Miller; Xavier Montalban
Journal:  Nat Rev Neurol       Date:  2015-07-07       Impact factor: 42.937

8.  Morphological features of MS lesions on FLAIR* at 7 T and their relation to patient characteristics.

Authors:  Iris D Kilsdonk; Alexandra Lopez-Soriano; Joost P A Kuijer; Wolter L de Graaf; Jonas A Castelijns; Chris H Polman; Peter R Luijten; Jeroen J J G Geurts; Frederik Barkhof; Mike P Wattjes
Journal:  J Neurol       Date:  2014-04-29       Impact factor: 4.849

9.  Identification of Chronic Active Multiple Sclerosis Lesions on 3T MRI.

Authors:  M Absinta; P Sati; A Fechner; M K Schindler; G Nair; D S Reich
Journal:  AJNR Am J Neuroradiol       Date:  2018-05-03       Impact factor: 3.825

10.  Initial investigation of the blood-brain barrier in MS lesions at 7 tesla.

Authors:  María I Gaitán; Pascal Sati; Souheil J Inati; Daniel S Reich
Journal:  Mult Scler       Date:  2012-12-17       Impact factor: 6.312

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