In vivo evaluation of heme and non-heme iron content and neuronal density in human basal ganglia

Non-heme iron is an important element supporting the structure and functioning of biological tissues. Imbalance in non-heme iron can lead to different neurological disorders. Several MRI approaches have been developed for iron quantification relying either on the relaxation properties of MRI signal...

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Main Authors: Dmitriy A Yablonskiy, Jie Wen, Satya V.V.N. Kothapalli, Alexander L Sukstanskii
Format: Article
Language:English
Published: Elsevier 2021-07-01
Series:NeuroImage
Subjects:
QSM
R2*
Online Access:http://www.sciencedirect.com/science/article/pii/S1053811921002895
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spelling doaj-dcb408d18ef845bca811ade3bcc8f2af2021-06-09T05:49:44ZengElsevierNeuroImage1095-95722021-07-01235118012In vivo evaluation of heme and non-heme iron content and neuronal density in human basal gangliaDmitriy A Yablonskiy0Jie Wen1Satya V.V.N. Kothapalli2Alexander L Sukstanskii3Department of Radiology, Washington University in St. Louis, 4525 Scott Ave. Room 3216, St. Louis, MO 63110, United States; Corresponding author.Department of Radiology, The First Affiliated Hospital of USTC, Hefei, Anhui 230001, ChinaDepartment of Radiology, Washington University in St. Louis, 4525 Scott Ave. Room 3216, St. Louis, MO 63110, United StatesDepartment of Radiology, Washington University in St. Louis, 4525 Scott Ave. Room 3216, St. Louis, MO 63110, United StatesNon-heme iron is an important element supporting the structure and functioning of biological tissues. Imbalance in non-heme iron can lead to different neurological disorders. Several MRI approaches have been developed for iron quantification relying either on the relaxation properties of MRI signal or measuring tissue magnetic susceptibility. Specific quantification of the non-heme iron can, however, be constrained by the presence of the heme iron in the deoxygenated blood and contribution of cellular composition. The goal of this paper is to introduce theoretical background and experimental MRI method allowing disentangling contributions of heme and non-heme irons simultaneously with evaluation of tissue neuronal density in the iron-rich basal ganglia. Our approach is based on the quantitative Gradient Recalled Echo (qGRE) MRI technique that allows separation of the total R2* metric characterizing decay of GRE signal into tissue-specific (R2t*) and the baseline blood oxygen level-dependent (BOLD) contributions. A combination with the QSM data (also available from the qGRE signal phase) allowed further separation of the tissue-specific R2t* metric in a cell-specific and non-heme-iron-specific contributions. It is shown that the non-heme iron contribution to R2t* relaxation can be described with the previously developed Gaussian Phase Approximation (GPA) approach. qGRE data were obtained from 22 healthy control participants (ages 26–63 years). Results suggest that the ferritin complexes are aggregated in clusters with an average radius about 100nm comprising approximately 2600 individual ferritin units. It is also demonstrated that the concentrations of heme and non-heme iron tend to increase with age. The strongest age effect was seen in the pallidum region, where the highest age-related non-heme iron accumulation was observed.http://www.sciencedirect.com/science/article/pii/S1053811921002895Quantitative gradient recalled echo MRIQSMBrain ironR2*R2t*BOLD
collection DOAJ
language English
format Article
sources DOAJ
author Dmitriy A Yablonskiy
Jie Wen
Satya V.V.N. Kothapalli
Alexander L Sukstanskii
spellingShingle Dmitriy A Yablonskiy
Jie Wen
Satya V.V.N. Kothapalli
Alexander L Sukstanskii
In vivo evaluation of heme and non-heme iron content and neuronal density in human basal ganglia
NeuroImage
Quantitative gradient recalled echo MRI
QSM
Brain iron
R2*
R2t*
BOLD
author_facet Dmitriy A Yablonskiy
Jie Wen
Satya V.V.N. Kothapalli
Alexander L Sukstanskii
author_sort Dmitriy A Yablonskiy
title In vivo evaluation of heme and non-heme iron content and neuronal density in human basal ganglia
title_short In vivo evaluation of heme and non-heme iron content and neuronal density in human basal ganglia
title_full In vivo evaluation of heme and non-heme iron content and neuronal density in human basal ganglia
title_fullStr In vivo evaluation of heme and non-heme iron content and neuronal density in human basal ganglia
title_full_unstemmed In vivo evaluation of heme and non-heme iron content and neuronal density in human basal ganglia
title_sort in vivo evaluation of heme and non-heme iron content and neuronal density in human basal ganglia
publisher Elsevier
series NeuroImage
issn 1095-9572
publishDate 2021-07-01
description Non-heme iron is an important element supporting the structure and functioning of biological tissues. Imbalance in non-heme iron can lead to different neurological disorders. Several MRI approaches have been developed for iron quantification relying either on the relaxation properties of MRI signal or measuring tissue magnetic susceptibility. Specific quantification of the non-heme iron can, however, be constrained by the presence of the heme iron in the deoxygenated blood and contribution of cellular composition. The goal of this paper is to introduce theoretical background and experimental MRI method allowing disentangling contributions of heme and non-heme irons simultaneously with evaluation of tissue neuronal density in the iron-rich basal ganglia. Our approach is based on the quantitative Gradient Recalled Echo (qGRE) MRI technique that allows separation of the total R2* metric characterizing decay of GRE signal into tissue-specific (R2t*) and the baseline blood oxygen level-dependent (BOLD) contributions. A combination with the QSM data (also available from the qGRE signal phase) allowed further separation of the tissue-specific R2t* metric in a cell-specific and non-heme-iron-specific contributions. It is shown that the non-heme iron contribution to R2t* relaxation can be described with the previously developed Gaussian Phase Approximation (GPA) approach. qGRE data were obtained from 22 healthy control participants (ages 26–63 years). Results suggest that the ferritin complexes are aggregated in clusters with an average radius about 100nm comprising approximately 2600 individual ferritin units. It is also demonstrated that the concentrations of heme and non-heme iron tend to increase with age. The strongest age effect was seen in the pallidum region, where the highest age-related non-heme iron accumulation was observed.
topic Quantitative gradient recalled echo MRI
QSM
Brain iron
R2*
R2t*
BOLD
url http://www.sciencedirect.com/science/article/pii/S1053811921002895
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AT satyavvnkothapalli invivoevaluationofhemeandnonhemeironcontentandneuronaldensityinhumanbasalganglia
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