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脑铁在多发性硬化症中的减少:铁磁共振成像中浓度与含量的差异。

Decreasing brain iron in multiple sclerosis: The difference between concentration and content in iron MRI.

机构信息

Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, New York, USA.

Center for Biomedical Imaging, Clinical and Translational Science Institute, University at Buffalo, The State University of New York, Buffalo, New York, USA.

出版信息

Hum Brain Mapp. 2021 Apr 1;42(5):1463-1474. doi: 10.1002/hbm.25306. Epub 2020 Dec 30.


DOI:10.1002/hbm.25306
PMID:33378095
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7927296/
Abstract

Increased brain iron concentration is often reported concurrently with disease development in multiple sclerosis (MS) and other neurodegenerative diseases. However, it is unclear whether the higher iron concentration in patients stems from an influx of iron into the tissue or a relative reduction in tissue compartments without much iron. By taking into account structural volume, we investigated tissue iron content in the deep gray matter (DGM) over 2 years, and compared findings to previously reported changes in iron concentration. 120 MS patients and 40 age- and sex-matched healthy controls were included. Clinical testing and MRI were performed both at baseline and after 2 years. Overall, iron content was calculated from structural MRI and quantitative susceptibility mapping in the thalamus, caudate, putamen, and globus pallidus. MS patients had significantly lower iron content than controls in the thalamus, with progressive MS patients demonstrating lower iron content than relapsing-remitting patients. Over 2 years, iron content decreased in the DGM of patients with MS, while it tended to increase or remain stable among controls. In the thalamus, decreasing iron content over 2 years was associated with disability progression. Our study showed that temporally increasing magnetic susceptibility in MS should not be considered as evidence for iron influx because it may be explained, at least partially, by disease-related atrophy. Declining DGM iron content suggests that, contrary to the current understanding, iron is being removed from the DGM in patients with MS.

摘要

脑铁浓度增加通常与多发性硬化症 (MS) 和其他神经退行性疾病的疾病发展同时报告。然而,尚不清楚患者体内较高的铁浓度是源于铁流入组织还是组织隔室中相对减少而铁含量不变。通过考虑结构体积,我们在 2 年内研究了深部灰质 (DGM) 中的组织铁含量,并将研究结果与之前报道的铁浓度变化进行了比较。纳入了 120 名 MS 患者和 40 名年龄和性别匹配的健康对照者。在基线和 2 年后均进行了临床检查和 MRI。总体而言,通过结构 MRI 和定量磁化率映射来计算丘脑、尾状核、壳核和苍白球的铁含量。MS 患者的丘脑铁含量明显低于对照组,进行性 MS 患者的铁含量低于复发性缓解型 MS 患者。2 年内,MS 患者的 DGM 铁含量下降,而对照组铁含量则呈增加或保持稳定趋势。在丘脑,2 年内铁含量的下降与残疾进展相关。我们的研究表明,MS 中随时间推移的磁化率增加不应被视为铁流入的证据,因为它至少部分可以通过疾病相关的萎缩来解释。DGM 铁含量的下降表明,与目前的理解相反,MS 患者的 DGM 正在去除铁。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c9fa/7927296/aa6f964f3bbd/HBM-42-1463-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c9fa/7927296/808449680808/HBM-42-1463-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c9fa/7927296/aa6f964f3bbd/HBM-42-1463-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c9fa/7927296/808449680808/HBM-42-1463-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c9fa/7927296/aa6f964f3bbd/HBM-42-1463-g002.jpg

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[5]
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[6]
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[7]
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引用本文的文献

[1]
IRONMAP: Iron network mapping and analysis protocol for detecting over-time brain iron abnormalities in neurological disease.

Imaging Neurosci (Camb). 2025-4-15

[2]
Inflammation alters myeloid cell and oligodendroglial iron-handling in multiple sclerosis.

Acta Neuropathol Commun. 2025-6-4

[3]
Thalamic iron in multiple sclerosis: Waning support for the early-rise late-decline hypothesis.

Neuroimage Clin. 2025-3-26

[4]
Conventional and Advanced Magnetic Resonance Imaging Biomarkers of Multiple Sclerosis in the Brain.

Cureus. 2025-3-2

[5]
Automated Quantitative Susceptibility and Morphometry MR Study: Feasibility and Interrelation Between Clinical Score, Lesion Load, Deep Grey Matter and Normal-Appearing White Matter in Multiple Sclerosis.

Diagnostics (Basel). 2024-11-27

[6]
Association between paramagnetic rim lesions and pulvinar iron depletion in persons with multiple sclerosis.

Mult Scler Relat Disord. 2025-1

[7]
Quantitative susceptibility mapping of the fear circuit: Associations with silent symptoms in relapsing-remitting multiple sclerosis.

Neuroradiol J. 2024-12-4

[8]
Quantitative Susceptibility Mapping Values Quantification in Deep Gray Matter Structures for Relapsing-Remitting Multiple Sclerosis: A Systematic Review and Meta-Analysis.

Brain Behav. 2024-10

[9]
Investigating the relationship between thalamic iron concentration and disease severity in secondary progressive multiple sclerosis using quantitative susceptibility mapping: Cross-sectional analysis from the MS-STAT2 randomised controlled trial.

Neuroimage Rep. 2024-9

[10]
Decoding Gray Matter Involvement in Multiple Sclerosis via Imaging.

Neuroimaging Clin N Am. 2024-8

本文引用的文献

[1]
Targeting Iron Dyshomeostasis for Treatment of Neurodegenerative Disorders.

CNS Drugs. 2019-11

[2]
Atrophied Brain T2 Lesion Volume at MRI Is Associated with Disability Progression and Conversion to Secondary Progressive Multiple Sclerosis.

Radiology. 2019-9-24

[3]
Five year iron changes in relapsing-remitting multiple sclerosis deep gray matter compared to healthy controls.

Mult Scler Relat Disord. 2019-5-31

[4]
The influence of brain iron on myelin water imaging.

Neuroimage. 2019-5-17

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Iron in Neurodegeneration - Cause or Consequence?

Front Neurosci. 2019-3-1

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Multi-atlas tool for automated segmentation of brain gray matter nuclei and quantification of their magnetic susceptibility.

Neuroimage. 2019-2-7

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Association between pathological and MRI findings in multiple sclerosis.

Lancet Neurol. 2019-2

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Determinants of Deep Gray Matter Atrophy in Multiple Sclerosis: A Multimodal MRI Study.

AJNR Am J Neuroradiol. 2018-12-20

[9]
Characterization of normal-appearing white matter in multiple sclerosis using quantitative susceptibility mapping in conjunction with diffusion tensor imaging.

Neuroradiology. 2019-1

[10]
Increased mean R2* in the deep gray matter of multiple sclerosis patients: Have we been measuring atrophy?

J Magn Reson Imaging. 2018-12-4

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