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Tracking iron in multiple sclerosis: a combined imaging and histopathological study at 7 Tesla
Open accessAbstract
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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“However, degeneration of cells in the brain also result in the deposition of iron in the extracellular space, which then induces waves of oxidative stress (via Fenton chemistry) in these brain regions (Craelius et al., 1982; Bagnato et al., 2011).”
From The Role of Iron Regulation in Immunometabolism and Immune-Related Disease (2019) · cites this paper as Bagnato et al., 2011
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“In-vivo and post-mortem investigations suggest focal iron accumulation in the white matter in multiple sclerosis160,161,206 and focal iron accumulation in the cortex in amyotrophic lateral sclerosis207 co-localise with microglia (appendix).160,207”
From The role of iron in brain ageing and neurodegenerative disorders (2014) · cites this paper as [160]
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Cites
American Journal of Neuroradiology
(2020) · American Journal of Neuroradiology · doi:10.3174/ajnr · Cited by 2,468
Iron accumulation in Alzheimer disease is a source of redox-generated free radicals
Smith, M. A., Harris, P. L. R., Sayre, L. M., & Perry, G. L. (1997) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.94.18.9866 · Cited by 1,365
The Immunopathology of Multiple Sclerosis: An Overview
Lassmann, H., Brück, W., & Lucchinetti, C. F. (2007) · Brain Pathology · doi:10.1111/j.1750-3639.2007.00064.x · Cited by 1,182
High-field MRI of brain cortical substructure based on signal phase
Duyn, J. H., van Gelderen, P., Li, T., de Zwart, J. A., Koretsky, A. P., & Fukunaga, M. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0610821104 · Cited by 641
Oligodendrocytes and myelination: The role of iron
Todorich, B., Pasquini, J. M., Garcia, C. I., Paez, P. M., & Connor, J. R. (2008) · Glia · doi:10.1002/glia.20784 · Cited by 615
Magnetic susceptibility mapping of brain tissue in vivo using MRI phase data
Shmueli, K., de Zwart, J. A., van Gelderen, P., Li, T., Dodd, S. J., & Duyn, J. H. (2009) · Magnetic Resonance in Medicine · doi:10.1002/mrm.22135 · Cited by 529
Immunopathology of secondary‐progressive multiple sclerosis
Prineas, J. W., Kwon, E. E., Cho, E., Sharer, L. R., Barnett, M. H., Oleszak, E. L., Hoffman, B. E., & Morgan, B. P. (2001) · Annals of Neurology · doi:10.1002/ana.1255 · Cited by 453
Diagnostic Criteria for Neuropathologic Assessment of Alzheimer’s Disease
Braak, H., & Braak, E. (1997) · Neurobiology of Aging · doi:10.1016/s0197-4580(97)00062-6 · Cited by 410
Layer-specific variation of iron content in cerebral cortex as a source of MRI contrast
Fukunaga, M., Li, T.-Q., van Gelderen, P., de Zwart, J. A., Shmueli, K., Yao, B., Lee, J., Maric, D., Aronova, M. A., Zhang, G., et al. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0911177107 · Cited by 408
Gelman, N., Gorell, J. M., Barker, P. B., Savage, R. M., Spickler, E. M., Windham, J. P., & Knight, R. A. (1999) · Radiology · doi:10.1148/radiology.210.3.r99fe41759 · Cited by 373
Drayer, B. P., Burger, P. C., Darwin, R. H., Riederer, S. J., Herfkens, R. J., & Johnson, G. A. (1986) · American Journal of Roentgenology · doi:10.2214/ajr.147.1.103 · Cited by 368
Liu, C. (2010) · Magnetic Resonance in Medicine · doi:10.1002/mrm.22482 · Cited by 333
Characterizing iron deposition in multiple sclerosis lesions using susceptibility weighted imaging
Haacke, E. M., Makki, M., Ge, Y., Maheshwari, M., Sehgal, V., Hu, J., Selvan, M., Wu, Z., Latif, Z., Xuan, Y., et al. (2009) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.21676 · Cited by 329
Susceptibility contrast in high field MRI of human brain as a function of tissue iron content
Yao, B., Li, T., van Gelderen, P., Shmueli, K., de Zwart, J. A., & Duyn, J. H. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.10.029 · Cited by 282
Hammond, K. E., Metcalf, M., Carvajal, L. E., Okuda, D. T., Srinivasan, R., Vigneron, D. B., Nelson, S. J., & Pelletier, D. (2008) · Annals of Neurology · doi:10.1002/ana.21582 · Cited by 281
Simmons, D. A., Casale, M., Alcon, B., Pham, N., Narayan, N., & LYNCH, G. S. (2007) · Glia · doi:10.1002/glia.20526 · Cited by 277
Biophysical mechanisms of phase contrast in gradient echo MRI
He, X., & Yablonskiy, D. A. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0904899106 · Cited by 274
Sensitivity of MRI resonance frequency to the orientation of brain tissue microstructure
Lee, J., Shmueli, K., Fukunaga, M., van Gelderen, P., Merkle, H., Silva, A. C., & Duyn, J. H. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0910222107 · Cited by 264
Lopes, K. O., Sparks, D. L., & Streit, W. J. (2008) · Glia · doi:10.1002/glia.20678 · Cited by 262
Meguro, R., Asano, Y., Odagiri, S., Li, C., Iwatsuki, H., & Shoumura, K. (2007) · Archivum histologicum japonicum · doi:10.1679/aohc.70.1 · Cited by 261
Spatz, H. (1922) · Zeitschrift für die gesamte Neurologie und Psychiatrie · doi:10.1007/bf02865844 · Cited by 252
Evolution of T1 black holes in patients with multiple sclerosis imaged monthly for 4 years
Bagnato, F. R. (2003) · Brain · doi:10.1093/brain/awg182 · Cited by 224
Ultra-high-field imaging distinguishes MS lesions from asymptomatic white matter lesions
Tallantyre, E. C., Dixon, J. E., Donaldson, I., Owens, T., Morgan, P. S., Morris, P. G., & Evangelou, N. (2011) · Neurology · doi:10.1212/wnl.0b013e31820b7630 · Cited by 220
Imaging Cortical Lesions in Multiple Sclerosis With Ultra–High-Field Magnetic Resonance Imaging
Pitt, D., Boster, A. L., Pei, W., Wohleb, E., Jasne, A. S., Zachariah, C. R., Rammohan, K. W., Knopp, M. V., & Schmalbrock, P. (2010) · Archives of Neurology · doi:10.1001/archneurol.2010.148 · Cited by 210
Iron deposits surrounding multiple sclerosis plaques.
Craelius, W., Mw, M., Luessenhop, C. P., Sugar, A. W., & Mihalakis, I. (1982) · PubMed · Cited by 197
Levine, S. M., & Chakrabarty, A. (2004) · Annals of the New York Academy of Sciences · doi:10.1196/annals.1306.021 · Cited by 183
Perivascular iron deposition and other vascular damage in multiple sclerosis.
Adams, C. W. (1988) · Journal of Neurology, Neurosurgery & Psychiatry · doi:10.1136/jnnp.51.2.260 · Cited by 178
Hammond, K. E., Lupo, J., Xu, D., Metcalf, M., Kelley, D. A. C., Pelletier, D., Chang, S. M., Mukherjee, P., Vigneron, D. B., & Nelson, S. J. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.10.037 · Cited by 166
A Comparison of 3T and 7T in the Detection of Small Parenchymal Veins Within MS Lesions
Tallantyre, E. C., Morgan, P. S., Dixon, J. E., Al-Radaideh, A., Brookes, M. J., Evangelou, N., & Morris, P. G. (2009) · Investigative Radiology · doi:10.1097/rli.0b013e3181b4c144 · Cited by 164
DEMONSTRATING THE PERIVASCULAR DISTRIBUTION OF MS LESIONS IN VIVO WITH 7-TESLA MRI
Tallantyre, E. C., Brookes, M. J., Dixon, J. E., Morgan, P. S., Evangelou, N., & Morris, P. G. (2008) · Neurology · doi:10.1212/01.wnl.0000313377.49555.2e · Cited by 158
Schmierer, K., Parkes, H. G., So, P., An, S., Brandner, S., Ordidge, R. J., Yousry, T. A., & Miller, D. H. (2010) · Brain · doi:10.1093/brain/awp335 · Cited by 154
Bizzi, A., Brooks, R. A., Brunetti, A., Hill, J. M., Alger, J. R., Miletich, R. S., Francavilla, T. L., & Chiro, G. D. (1990) · Radiology · doi:10.1148/radiology.177.1.2399339 · Cited by 151
Ward, R. J., Crichton, R. R., Taylor, D. L., Corte, L., Srai, S. K., & Dexter, D. T. (2010) · Journal of Neural Transmission · doi:10.1007/s00702-010-0479-3 · Cited by 150
T 2 *-based fiber orientation mapping
Lee, J., van Gelderen, P., Kuo, L., Merkle, H., Silva, A. C., & Duyn, J. H. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.04.026 · Cited by 141
A histochemical study of iron‐positive cells in the developing rat brain
Connor, J. R., Pavlick, G., Karli, D. C., Menzies, S. L., & Palmer, C. (1995) · The Journal of Comparative Neurology · doi:10.1002/cne.903550112 · Cited by 134
Cellular distribution of iron in the brain of the Belgrade rat
Burdo, J. R., Martin, J., Menzies, S. L., Dolan, K. G., Romano, M. A., Fletcher, R. J., Garrick, M. D., Garrick, L. M., & Connor, J. R. (1999) · Neuroscience · doi:10.1016/s0306-4522(99)00207-9 · Cited by 130
Abduljalil, A., Schmalbrock, P., Novak, V., & Chakeres, D. W. (2003) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.10362 · Cited by 128
Seven-Tesla Magnetic Resonance Imaging
Ge, Y., Zohrabian, V. M., & Grossman, R. I. (2008) · Archives of Neurology · doi:10.1001/archneur.65.6.812 · Cited by 125
Multiple sclerosis and Alzheimer's disease
Dal Bianco, A., Bradl, M., Frischer, J., Kutzelnigg, A., Jellinger, K., & Lassmann, H. (2008) · Annals of Neurology · doi:10.1002/ana.21240 · Cited by 123
3 Tesla and 7 Tesla MRI of multiple sclerosis cortical lesions
Tallantyre, E. C., Morgan, P. S., Dixon, J. E., Al‐Radaideh, A., Brookes, M. J., Morris, P. G., & Evangelou, N. (2010) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.22115 · Cited by 117
MR imaging of compact white matter pathways.
Curnes, J. T., Burger, P. C., Djang, W. T., & Boyko, O. B. (1988) · PubMed Central · Cited by 106
House, M. J., Pierre, T. G. S., Kowdley, K. V., Montine, T. J., Connor, J. R., Beard, J., Berger, J., Siddaiah, N. B., Shankland, E. G., & Jin, L. (2006) · Magnetic Resonance in Medicine · doi:10.1002/mrm.21118 · Cited by 103
Measurement and Mapping of Liver Iron Concentrations Using Magnetic Resonance Imaging
Pierre, T. G. S., Clark, P. R., & Chua‐anusorn, W. (2005) · Annals of the New York Academy of Sciences · doi:10.1196/annals.1345.046 · Cited by 103
The Pathologic Substrate of Magnetic Resonance Alterations in Multiple Sclerosis
Lassmann, H. (2008) · Neuroimaging Clinics of North America · doi:10.1016/j.nic.2008.06.005 · Cited by 97
Do oligodendrocytes mediate iron regulation in the human brain?
Gerber, M. R., & Connor, J. R. (1989) · Annals of Neurology · doi:10.1002/ana.410260115 · Cited by 87
Quantitative MR imaging R2 relaxometry in elderly participants reporting memory loss.
House, M. J., Pierre, T. G. S., Foster, J. K., Martins, R. N., & Clarnette, R. (2006) · PubMed Central · Cited by 86
Imaging of brain iron by magnetic resonance: T2 relaxation at different field strengths
Schenck, J. F. (1995) · Journal of the Neurological Sciences · doi:10.1016/0022-510x(95)00203-e · Cited by 85
The effect of formalin fixation on the levels of brain transition metals in archived samples
Schrag, M., Dickson, A., Jiffry, A., Kirsch, D., Vinters, H. V., & Kirsch, W. M. (2010) · BioMetals · doi:10.1007/s10534-010-9359-4 · Cited by 83
High field MRI in the diagnosis of multiple sclerosis: high field–high yield?
Wattjes, M. P., & Barkhof, F. (2009) · Neuroradiology · doi:10.1007/s00234-009-0512-0 · Cited by 82
Metcalf, M., Xu, D., Okuda, D. T., Carvajal, L. E., Srinivasan, R., Kelley, D. A. C., Mukherjee, P., Nelson, S. J., Vigneron, D. B., & Pelletier, D. (2010) · Journal of Neuroimaging · doi:10.1111/j.1552-6569.2008.00338.x · Cited by 82
Leaching of Trace Elements from Biological Tissue by Formalin Fixation
Gellein, K., Flaten, T. P., Erikson, K. M., Aschner, M., & Syversen, T. L. M. (2007) · Biological Trace Element Research · doi:10.1007/s12011-007-8051-1 · Cited by 81
Characterization of T2* heterogeneity in human brain white matter
Li, T., Yao, B., van Gelderen, P., Merkle, H., Dodd, S. J., Talagala, L., Koretsky, A. P., & Duyn, J. H. (2009) · Magnetic Resonance in Medicine · doi:10.1002/mrm.22156 · Cited by 80
Höftberger, R., Fink, S., Aboul‐Enein, F., Botond, G., Olah, J., Berki, T., Ovadi, J., Lassmann, H., Budka, H., & Kovacs, G. G. (2010) · Glia · doi:10.1002/glia.21054 · Cited by 79
Self-citationOn the contribution of deoxy-hemoglobin to MRI gray–white matter phase contrast at high field
Lee, J., Hirano, Y., Fukunaga, M., Silva, A. C., & Duyn, J. H. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.07.017 · Cited by 68
ON THE VESSEL-PLAQUE RELATIONS IN THE BRAIN IN MULTIPLE SCLEROSIS
Fog, T. (2009) · Acta Neurologica Scandinavica · doi:10.1111/j.1600-0404.1963.tb01841.x · Cited by 63
Mairuae, N., Connor, J., & Cheepsunthorn, P. (2011) · Neuroscience Letters · doi:10.1016/j.neulet.2011.06.001 · Cited by 45
Relationship between brain R2 and liver and serum Iron concentrations in elderly men
House, M. J., Pierre, T. G. S., Milward, E. A., Bruce, D. G., & Olynyk, J. K. (2010) · Magnetic Resonance in Medicine · doi:10.1002/mrm.22263 · Cited by 42
Bagnato, F. R., Yao, B., Cantor, F. K., Merkle, H., Condon, E., Montequin, M., Moore, S., Quezado, M., Tkaczyk, D., & McFarland, H. R. (2009) · Journal of the Neurological Sciences · doi:10.1016/j.jns.2009.03.021 · Cited by 41
The distribution of iron in the brain: A phylogenetic analysis using iron histochemistry
Erb, G. L., Osterbur, D., & LeVine, S. M. (1996) · Developmental Brain Research · doi:10.1016/0165-3806(96)00020-x · Cited by 35
Iron deposits and multiple sclerosis.
Walton, J. C., & Kaufmann, J. C. E. (1984) · PubMed · Cited by 34
The effect of histological processing on the form of iron in iron-loaded human tissues
Chua‐anusorn, W., Webb, J. M., Macey, D. J., Pootrakul, P., & Pierre, T. G. S. (1997) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/s0925-4439(97)00009-4 · Cited by 33
Potential mechanisms for nitric oxide-mediated impairment of brain mitochondrial energy metabolism
Bolaños, J. P., Almeida, Á., Fernández, E., Medina, J. M., Land, J. M., Clark, J. B., & Heales, S. (1997) · Biochemical Society Transactions · doi:10.1042/bst0250944 · Cited by 25
Double Inversion Recovery MRI with Fat Suppression at 7 Tesla: Initial Experience
Madelin, G., Oesingmann, N., & Inglese, M. (2009) · Journal of Neuroimaging · doi:10.1111/j.1552-6569.2008.00331.x · Cited by 24
Lee, J., Shmueli, K., Fukunaga, M., van Gelderen, P., Merkle, H., Ac, S., & Duyn, J. H. (2010) · UCL Discovery (University College London) · Cited by 10
Research works printed but not linked: 7
- Craelius, 1982, Archives of pathology & laboratory medicine, 106, 397
- Curnes, 1988, American Journal of Neuroradiology, 9, 1061
- 1964, Acta neurologica Scandinavica. Supplementum, 40, 9
- 2011, Neuroscience letters, 400, 36
- 2005, COOLEYS ANEMIA EIGHT SYMP, 1054, 379
- 1984, Archives of pathology, 108, 755
- 2010, PROC INTL SOC MAG RESON MED, 18, 5124
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Pathological mechanisms in progressive multiple sclerosis
Mahad, D., Trapp, B. D., & Lassmann, H. (2015) · The Lancet Neurology · doi:10.1016/s1474-4422(14)70256-x · Cited by 1,198
Progressive multiple sclerosis: pathology and pathogenesis
Lassmann, H., van Horssen, J., & Mahad, D. (2012) · Nature Reviews Neurology · doi:10.1038/nrneurol.2012.168 · Cited by 1,033
Quantitative susceptibility mapping (QSM): Decoding MRI data for a tissue magnetic biomarker
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Absinta, M., Maric, D., Gharagozloo, M., Garton, T., Smith, M. D., Jin, J., Fitzgerald, K. C., Song, A., Liu, P., Lin, J.-P., et al. (2021) · Nature · doi:10.1038/s41586-021-03892-7 · Cited by 768
Metadata
- Authors
- Bagnato, F., Hametner, S., Yao, B., van Gelderen, P., Merkle, H., Cantor, F. K., Lassmann, H., & Duyn, J. H.
- Affiliations
- National Institutes of Health (US)
- Medical University of Vienna (AT)
- Venue
- Brain
- Publisher
- Oxford University Press (OUP)
- Published
- 2011-12-01
- Volume
- 134
- Issue
- 12
- Pages
- 3602-3615
- ISSN
- 0006-8950 (ISSN-L)
- 1460-2156
- PMC
- PMC3235560
- OpenAlex
- W2154189431
- Cited by
- 351
- References
- 65
- Citations by year
- 2026: 14 · 2025: 19 · 2024: 29 · 2023: 33 · 2022: 32 · 2021: 25 · 2020: 22 · 2019: 18 · 2018: 18 · 2017: 22 · 2016: 35 · 2015: 24 · 2014: 28 · 2013: 19 · 2012: 13
- FWCI
- 14.67
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Brain (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- HighWire Press Open Archive (submittedVersion)
- Funders
- National Institutes of Health
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Health Sciences › Medicine › Clinical Neurology › Multiple Sclerosis Research Studies
- Life Sciences › Neuroscience › Neurology › Neurological diseases and metabolism
- Keywords
- multiple sclerosis, iron accumulation, r2 relaxivity, gradient echo MRI, 7T MRI, white matter lesions, normal-appearing white matter, ferritin, oligodendrocytes, microglia, macrophages, microbleeds, myelin
- MeSH terms
- Brain, Humans, Image Processing, Computer-Assisted, Iron, Magnetic Resonance Imaging, Multiple Sclerosis, Myelin Sheath, Nerve Fibers, Myelinated
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