ArticleFrontiers in aging neuroscience2021
Iron Deposition Characteristics of Deep Gray Matter in Elderly Individuals in the Community Revealed by Quantitative Susceptibility Mapping and Multiple Factor Analysis.
Article in Frontiers in aging neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.
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Who cites it
25 citing papers in PubMed, 1 synthesis or guideline pooled it, 39 citations in OpenAlex.
- Quantitative susceptibility mapping for iron monitoring of multiple subcortical nuclei in type 2 diabetes mellitus: a systematic review and meta-analysis.Frontiers in endocrinology · 2024Pooled it
- Does quantitative susceptibility mapping elucidate age-related alterations in deep gray matter iron deposition? A systematic review.Radiological physics and technology · 2026Review
- Regulation of brain iron homeostasis and its influence on cognitive function.European radiology · 2026Article
- Blood and imaging biomarkers of blood-brain barrier disruption in diabetic individuals with cognitive impairment.Aging clinical and experimental research · 2026Article
- Using QSM to investigate the iron deposition patterns in deep gray matter nuclei during the aging process in healthy populations.Frontiers in aging neuroscience · 2026Article
- Current Strategies for Healthy Aging: The Interplay Between Nutrition, Metabolism, and Exercise.Cureus · 2025Review
- Multiple Demographic, Lifestyle, and Biological Factors Associated With Brain Iron Deposition in the Basal Ganglia: A Comprehensive Analysis of 25,980 UK Biobank Participants.Brain and behavior · 2025Article
- Synthetic MRI study of brain volume and subcortical myelin in various Parkinson's disease motor subtypes.NPJ Parkinson's disease · 2025Article
- Improving quantitative susceptibility mapping for the identification of traumatic brain injury neurodegeneration at the individual level.Zeitschrift fur medizinische Physik · 2025Article
- The Role of Iron Homeostasis Imbalance in T2DM-Associated Cognitive Dysfunction: A Prospective Cohort Study Utilizing Quantitative Susceptibility Mapping.Human brain mapping · 2025Article
- Stoichiometric analysis of 20 amino acids, thermogravimetric parameters and trace elements in five types of tea from Guizhou, China, based on entropy analysis (EA) and factor cluster analysis (FCA).Food chemistry: X · 2025Article
- Brain Iron Deposition Alterations in Type 2 Diabetes Mellitus Patients With Mild Cognitive Impairment Based on Quantitative Susceptibility Mapping.Journal of diabetes · 2025Observational
- Exploring the links among brain iron accumulation, cognitive performance, and dietary intake in older adults: A longitudinal MRI study.Neurobiology of aging · 2025Article
- IRONMAP: Iron network mapping and analysis protocol for detecting over-time brain iron abnormalities in neurological disease.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- A Review of the Association Between Dietary Intake and Brain Iron Levels in Older Adults: Preliminary Findings and Future Directions.Nutrients · 2024Review
- Intracellular iron accumulation facilitates mycobacterial infection in old mouse macrophages.GeroScience · 2024Article
- Automated segmentation of midbrain nuclei using deep learning and multisequence MRI: A longitudinal study on iron accumulation with age.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Iron load in the normal aging brain measured with QSM andFrontiers in neuroimaging · 2024Article
- Review
- Designing Smart Iron Oxide Nanoparticles for MR Imaging of Tumors.Chemical & biomedical imaging · 2023Review
Corrections and comments
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Authors and funding
5 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThe objective of this study was to determine which factors influence brain iron concentrations in deep gray matter in elderly individuals and how these factors influence regional brain iron concentrations.
methodsA total of 105 elderly individuals were enrolled in this study. All participants underwent detailed magnetic resonance imaging (MRI) examinations from October 2018 to August 2019. Among them, 44 individuals had undergone a previous MRI examination from July 2010 to August 2011. Quantitative susceptibility mapping (QSM) was utilized as an indirect quantitative marker of brain iron, and the susceptibility values of deep gray matter structures were obtained. Univariate analysis and multiple linear regression analysis were used to investigate 11 possible determinants for cerebral iron deposition.
resultsOur results showed no sex- or hemisphere-related differences in susceptibility values in any of the regions studied. Aging was significantly correlated with increased insusceptibility values in almost all analyzed brain regions (except for the thalamus) when we compared the susceptibility values at the two time points. In a cross-sectional analysis, the relationship between gray matter nucleus susceptibility values and age was conducted using Pearson's linear regression. Aging was significantly correlated with the susceptibility values of the globus pallidus (GP), putamen (Put), and caudate nucleus (CN), with the Put having the strongest correlations. In multiple linear regression models, associations with increased susceptibility values were found in the CN, Put, red nucleus, and dentate nucleus for individuals with a history of type 2 diabetes mellitus (T2DM). However, the patients with hypertension showed significantly reduced susceptibility values in the red nucleus and dentate nucleus. Our data suggested that smokers had increased susceptibility values in the thalamus. No significant associations were found for individuals with a history of hypercholesterolemia and Apolipoprotein E4 carrier status.
conclusionOur data revealed that aging, T2DM, and smoking could increase iron deposition in some deep gray matter structures. However, hypertension had the opposite effects in the red nuclei and dentate nuclei. Brain iron metabolism could be influenced by many factors in different modes. In future studies, we should strictly control for confounding factors.
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