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Gustavsson J, Ištvánfyová Z, Papenberg G, Falahati F, Laukka EJ, Lehtisalo J, Mangialasche F, Kalpouzos G. Lifestyle, biological, and genetic factors related to brain iron accumulation across adulthood. Neurobiol Aging 2024; 144:56-67. [PMID: 39277972 DOI: 10.1016/j.neurobiolaging.2024.09.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Revised: 09/04/2024] [Accepted: 09/06/2024] [Indexed: 09/17/2024]
Abstract
Iron is necessary for many neurobiological mechanisms, but its overaccumulation can be harmful. Factors triggering age-related brain iron accumulation remain largely unknown and longitudinal data are insufficient. We examined associations between brain iron load and accumulation and, blood markers of iron metabolism, cardiovascular health, lifestyle factors (smoking, alcohol use, physical activity, diet), and ApoE status using longitudinal data from the IronAge study (n = 208, age = 20-79, mean follow-up time = 2.75 years). Iron in cortex and basal ganglia was estimated with magnetic resonance imaging using quantitative susceptibility mapping (QSM). Our results showed that (1) higher peripheral iron levels (i.e., composite score of blood iron markers) were related to greater iron load in the basal ganglia; (2) healthier diet was related to higher iron levels in the cortex and basal ganglia, although for the latter the association was significant only in younger adults (age = 20-39); (3) worsening cardiovascular health was related to increased iron accumulation; (4) younger ApoE ε4 carriers accumulated more iron in basal ganglia than younger non-carriers. Our results demonstrate that modifiable factors, including lifestyle, cardiovascular, and physiological ones, are linked to age-related brain iron content and accumulation, contributing novel information on potential targets for interventions in preventing brain iron-overload.
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Affiliation(s)
- Jonatan Gustavsson
- Aging Research Center, Karolinska Institutet and Stockholm University, Sweden.
| | - Zuzana Ištvánfyová
- Aging Research Center, Karolinska Institutet and Stockholm University, Sweden; Karolinska University Hospital, Stockholm, Sweden
| | - Goran Papenberg
- Aging Research Center, Karolinska Institutet and Stockholm University, Sweden
| | - Farshad Falahati
- Aging Research Center, Karolinska Institutet and Stockholm University, Sweden
| | - Erika J Laukka
- Aging Research Center, Karolinska Institutet and Stockholm University, Sweden; Stockholm Gerontology Research Center, Stockholm, Sweden
| | - Jenni Lehtisalo
- Finnish Institute for Health and Welfare, Helsinki, Finland; University of Eastern Finland, Kuopio, Finland
| | - Francesca Mangialasche
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | - Grégoria Kalpouzos
- Aging Research Center, Karolinska Institutet and Stockholm University, Sweden
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Su Y, Wu W, Qin Z, Li C, Zhao J, Kang J, Wang Y, Zheng C, Haacke EM, Wang L. Deep gray matters iron deposition is positively associated with white matter hyperintensity in hypertension. J Clin Hypertens (Greenwich) 2023; 25:768-777. [PMID: 37491795 PMCID: PMC10423754 DOI: 10.1111/jch.14694] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Revised: 06/20/2023] [Accepted: 06/20/2023] [Indexed: 07/27/2023]
Abstract
The association and underlying mechanisms between iron deposition and white matter hyperintensity (WMH) remain unclear. In this study, quantitative susceptibility mapping (QSM) was used to quantify deep gray matters iron deposition and to explore the association from both global and regional perspectives. A total of 84 patients with hypertension and 26 healthy controls underwent a strategically acquired gradient echo (STAGE) protocol, and the multi-echo data were used to reconstruct QSM images. The susceptibilities were used to describe iron content. Global region (RI) susceptibilities were measured in regions of interest, and age-related thresholds were used to determine high-iron content region (RII) susceptibilities. Compared with healthy controls, hypertension had higher total WMH scores and regional scores (all p = .001) and higher susceptibilities using the RI or RII analysis (all p < .05). In healthy controls, there was no significant association between susceptibilities and WMH scores. In hypertension, the susceptibilities of deep gray matters were positively correlated with WMH scores (RI analysis: right putamen; RII analysis: bilateral caudate nucleus head, putamen, red nucleus, substantia nigra, and dentate nucleus; age and education corrected p < .05). These findings suggest that iron deposition in deep gray matters was positively associated with WMH in hypertension, especially using the RII analysis.
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Affiliation(s)
- Yu Su
- Department of RadiologyUnion Hospital, Tongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina
- Hubei Province Key Laboratory of Molecular ImagingWuhanChina
| | - Wenjun Wu
- Department of RadiologyUnion Hospital, Tongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina
- Hubei Province Key Laboratory of Molecular ImagingWuhanChina
| | - Ziji Qin
- Department of RadiologyThe People's Hospital of Guangxi Zhuang Autonomous RegionNanningChina
| | - Chungao Li
- Department of RadiologyUnion Hospital, Tongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina
- Hubei Province Key Laboratory of Molecular ImagingWuhanChina
| | - Jie Zhao
- Department of RadiologyUnion Hospital, Tongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina
- Hubei Province Key Laboratory of Molecular ImagingWuhanChina
| | - Jiamin Kang
- Department of RadiologyUnion Hospital, Tongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina
- Hubei Province Key Laboratory of Molecular ImagingWuhanChina
| | - Youzhi Wang
- Department of RadiologyUnion Hospital, Tongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina
- Hubei Province Key Laboratory of Molecular ImagingWuhanChina
| | - Chuansheng Zheng
- Department of RadiologyUnion Hospital, Tongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina
- Hubei Province Key Laboratory of Molecular ImagingWuhanChina
| | - Ewart Mark Haacke
- Magnetic Resonance InnovationsBingham FarmsMichiganUSA
- Department of RadiologyWayne State UniversityDetroitMichiganUSA
| | - Lixia Wang
- Department of RadiologyUnion Hospital, Tongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina
- Hubei Province Key Laboratory of Molecular ImagingWuhanChina
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Qin Z, Wu W, Liu D, Zheng C, Kang J, Zhou H, Meng X, Haacke EM, Wang L. Quantitative Susceptibility Mapping of Brain Iron Relating to Cognitive Impairment in Hypertension. J Magn Reson Imaging 2022; 56:508-515. [PMID: 34989062 DOI: 10.1002/jmri.28043] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2021] [Revised: 12/14/2021] [Accepted: 12/15/2021] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Hypertension (HTN) might impair cognition. Brain iron deposition correlates with cognitive impairment. The relationship between brain iron and cognition in HTN patients is less clear. PURPOSE To measure brain susceptibility in HTN patients using quantitative susceptibility mapping (QSM) and to explore the relationship between brain iron and cognition. STUDY TYPE Retrospective cross-sectional study. SUBJECTS Sixty HTN patients (35 with mild cognitive impairment [MCI] and 25 without MCI) and 24 age, gender, and education matched controls. FIELD STRENGTH/SEQUENCE 3 T; strategically acquired gradient echo (STAGE) imaging protocol for QSM analysis. ASSESSMENT All subjects underwent Montreal Cognitive Assessment (MoCA) scoring of visuospatial/executive, naming, attention, abstraction, language, delayed memory, and orientation functions. HTN patients were divided into two groups (with and without MCI) depending on the MoCA score. Regions of interest (ROIs) were manually demarcated on the STAGE images by three independent radiologists and susceptibility were determined for bilateral frontal white matter, parietal white matter, occipital white matter, caudate nucleus (CN), putamen (PU), globus pallidus (GP), thalamus (TH), red nucleus (RN), substantia nigra (SN), and dentate nucleus (DN). STATISTICAL TESTS Analysis of variance with post-hoc least significant difference (LSD) tests and Pearson correlation coefficients (r). A P-value <0.05 was considered to be statistically significant. RESULTS The susceptibility was significantly different in CN, PU, and DN among the three groups. The susceptibility of right CN and left PU were correlated with MoCA scores (r = -0.429 and r = -0.389, respectively). The susceptibility of left PU was also correlated with delayed memory scores (r = -0.664). The susceptibility of left and right GP were correlated with naming scores (r = -0.494 and r = -0.446, respectively) and the susceptibility of left DN were correlated with visuospatial/executive scores (r = 0.479). DATA CONCLUSION QSM measured brain iron was significantly higher in CN, PU, and DN in HTN patients. Cognitive impairment was correlated with regional brain iron deposition. LEVEL OF EVIDENCE 2 TECHNICAL EFFICACY: Stage 3.
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Affiliation(s)
- Ziji Qin
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
| | - Wenjun Wu
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
| | - Dingxi Liu
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
| | - Chuansheng Zheng
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
| | - Jiamin Kang
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
| | - Hongyan Zhou
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
| | - Xueni Meng
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
| | - E Mark Haacke
- Magnetic Resonance Innovations, Bingham Farms, Michigan, USA.,Department of Radiology, Wayne State University, Detroit, Michigan, USA
| | - Lixia Wang
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
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