Literature DB >> 26890777

Patterns of Brain Iron Accumulation in Vascular Dementia and Alzheimer's Dementia Using Quantitative Susceptibility Mapping Imaging.

Yeonsil Moon1, Seol-Heui Han1,2, Won-Jin Moon2,3.   

Abstract

BACKGROUND: Emerging evidence suggests that the excessive accumulation of iron in subcortical and deep gray matter has been related to dementia. However, the presence and pattern of iron accumulation in vascular dementia (VaD) and Alzheimer's disease (AD) are rarely investigated.
OBJECTIVE: To examine and compare the pattern and presence of brain iron accumulation of VaD and AD using quantitative susceptibility mapping (QSM).
MATERIALS AND METHODS: Twelve patients with VaD, 27 patients with AD, and 18 control subjects were recruited in this institutional review-board approved study. Susceptibility maps were reconstructed from a three-dimensional multiecho spoiled gradient-echo sequence. Four regions of interest were drawn manually on QSM images, namely the globus pallidus, putamen, caudate nucleus, and pulvinar nucleus of the thalamus. Comparisons of patient demographics, and iron concentrations among the VaD, AD, and control subjects were assessed using analysis of variance and post-hoc analyses. The relationships of age and cognitive state with susceptibility values were assessed using partial correlation analysis.
RESULTS: In VaD and AD, overall susceptibility values were higher than those of control subjects. A significant difference in susceptibility values was found in the putamen and caudate nucleus (p <  0.001 and p = 0.002, respectively). However, susceptibility values did not differ between VaD and AD. Age and cognitive deficit severity were not related to susceptibility values in the VaD and AD groups.
CONCLUSION: Increased iron deposition in the putamen and caudate nucleus in VaD and AD patients was not associated with age or the severity of cognitive deficits. Further evaluations are needed to determine the temporal changes in iron load and their diagnostic role in dementia pathology.

Entities:  

Keywords:  Cognitive decline; imaging; iron

Mesh:

Substances:

Year:  2016        PMID: 26890777     DOI: 10.3233/JAD-151037

Source DB:  PubMed          Journal:  J Alzheimers Dis        ISSN: 1387-2877            Impact factor:   4.472


  47 in total

Review 1.  Introduction to Quantitative Susceptibility Mapping and Susceptibility Weighted Imaging.

Authors:  Pascal P R Ruetten; Jonathan H Gillard; Martin J Graves
Journal:  Br J Radiol       Date:  2019-07-26       Impact factor: 3.039

2.  Motor cortex hypointensity on susceptibility-weighted imaging: a potential imaging marker of iron accumulation in patients with cognitive impairment.

Authors:  Mina Park; Yeonsil Moon; Seol-Heui Han; Won-Jin Moon
Journal:  Neuroradiology       Date:  2019-01-28       Impact factor: 2.804

3.  Quantitative susceptibility mapping of the motor cortex: a comparison of susceptibility among patients with amyotrophic lateral sclerosis, cerebrovascular disease, and healthy controls.

Authors:  Ji Young Lee; Young-Jun Lee; Dong Woo Park; Yoonho Nam; Seung Hyun Kim; Jinseok Park; Young Seo Kim; Hyun Young Kim; Ki-Wook Oh
Journal:  Neuroradiology       Date:  2017-10-11       Impact factor: 2.804

Review 4.  Molecular Mechanisms of Metal Toxicity in the Pathogenesis of Alzheimer's Disease.

Authors:  Md Tanvir Kabir; Md Sahab Uddin; Sonia Zaman; Yesmin Begum; Ghulam Md Ashraf; May N Bin-Jumah; Simona G Bungau; Shaker A Mousa; Mohamed M Abdel-Daim
Journal:  Mol Neurobiol       Date:  2020-09-05       Impact factor: 5.590

Review 5.  Clinical quantitative susceptibility mapping (QSM): Biometal imaging and its emerging roles in patient care.

Authors:  Yi Wang; Pascal Spincemaille; Zhe Liu; Alexey Dimov; Kofi Deh; Jianqi Li; Yan Zhang; Yihao Yao; Kelly M Gillen; Alan H Wilman; Ajay Gupta; Apostolos John Tsiouris; Ilhami Kovanlikaya; Gloria Chia-Yi Chiang; Jonathan W Weinsaft; Lawrence Tanenbaum; Weiwei Chen; Wenzhen Zhu; Shixin Chang; Min Lou; Brian H Kopell; Michael G Kaplitt; David Devos; Toshinori Hirai; Xuemei Huang; Yukunori Korogi; Alexander Shtilbans; Geon-Ho Jahng; Daniel Pelletier; Susan A Gauthier; David Pitt; Ashley I Bush; Gary M Brittenham; Martin R Prince
Journal:  J Magn Reson Imaging       Date:  2017-03-10       Impact factor: 4.813

6.  Magnetic susceptibility in the deep gray matter may be modulated by apolipoprotein E4 and age with regional predilections: a quantitative susceptibility mapping study.

Authors:  Younghee Yim; Jong Duck Choi; Jun Heong Cho; Yeonsil Moon; Seol-Heui Han; Won-Jin Moon
Journal:  Neuroradiology       Date:  2022-01-04       Impact factor: 2.804

7.  Background field removal for susceptibility mapping of human brain with large susceptibility variations.

Authors:  Jinsheng Fang; Lijun Bao; Xu Li; Peter C M van Zijl; Zhong Chen
Journal:  Magn Reson Med       Date:  2018-10-09       Impact factor: 4.668

8.  Quantitative Susceptibility Mapping of Brain Iron and β-Amyloid in MRI and PET Relating to Cognitive Performance in Cognitively Normal Older Adults.

Authors:  Lin Chen; Anja Soldan; Kenichi Oishi; Andreia Faria; Yuxin Zhu; Marilyn Albert; Peter C M van Zijl; Xu Li
Journal:  Radiology       Date:  2020-11-24       Impact factor: 11.105

Review 9.  Lipocalin 2 regulates iron homeostasis, neuroinflammation, and insulin resistance in the brains of patients with dementia: Evidence from the current literature.

Authors:  Daejin Lim; Jae-Ho Jeong; Juhyun Song
Journal:  CNS Neurosci Ther       Date:  2021-05-04       Impact factor: 5.243

Review 10.  Iron and Ferroptosis as Therapeutic Targets in Alzheimer's Disease.

Authors:  Andrew Gleason; Ashley I Bush
Journal:  Neurotherapeutics       Date:  2020-10-27       Impact factor: 7.620

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