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Calabro FJ, Parr AC, Sydnor VJ, Hetherington H, Prasad KM, Ibrahim TS, Sarpal DK, Famalette A, Verma P, Luna B. Leveraging ultra-high field (7T) MRI in psychiatric research. Neuropsychopharmacology 2024:10.1038/s41386-024-01980-6. [PMID: 39251774 DOI: 10.1038/s41386-024-01980-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/01/2024] [Revised: 06/21/2024] [Accepted: 07/23/2024] [Indexed: 09/11/2024]
Abstract
Non-invasive brain imaging has played a critical role in establishing our understanding of the neural properties that contribute to the emergence of psychiatric disorders. However, characterizing core neurobiological mechanisms of psychiatric symptomatology requires greater structural, functional, and neurochemical specificity than is typically obtainable with standard field strength MRI acquisitions (e.g., 3T). Ultra-high field (UHF) imaging at 7 Tesla (7T) provides the opportunity to identify neurobiological systems that confer risk, determine etiology, and characterize disease progression and treatment outcomes of major mental illnesses. Increases in scanner availability, regulatory approval, and sequence availability have made the application of UHF to clinical cohorts more feasible than ever before, yet the application of UHF approaches to the study of mental health remains nascent. In this technical review, we describe core neuroimaging methodologies which benefit from UHF acquisition, including high resolution structural and functional imaging, single (1H) and multi-nuclear (e.g., 31P) MR spectroscopy, and quantitative MR techniques for assessing brain tissue iron and myelin. We discuss advantages provided by 7T MRI, including higher signal- and contrast-to-noise ratio, enhanced spatial resolution, increased test-retest reliability, and molecular and neurochemical specificity, and how these have begun to uncover mechanisms of psychiatric disorders. Finally, we consider current limitations of UHF in its application to clinical cohorts, and point to ongoing work that aims to overcome technical hurdles through the continued development of UHF hardware, software, and protocols.
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Affiliation(s)
- Finnegan J Calabro
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA.
- Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA, USA.
| | - Ashley C Parr
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Valerie J Sydnor
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | | | - Konasale M Prasad
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA, USA
- Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, PA, USA
| | - Tamer S Ibrahim
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA, USA
| | - Deepak K Sarpal
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Alyssa Famalette
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Piya Verma
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Beatriz Luna
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Psychology, University of Pittsburgh, Pittsburgh, PA, USA
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Schulze M, Coghill D, Lux S, Philipsen A, Silk T. Assessing brain iron and its relationship to cognition and comorbidity in children with ADHD with quantitative susceptibility mapping (QSM). BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2024:S2451-9022(24)00250-7. [PMID: 39218036 DOI: 10.1016/j.bpsc.2024.08.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/14/2024] [Revised: 08/08/2024] [Accepted: 08/12/2024] [Indexed: 09/04/2024]
Abstract
BACKGROUND Quantitative susceptibility mapping (QSM) is a neuroimaging technique that detects local changes in magnetic susceptibility induced by brain iron. Brain iron and the dopaminergic system are linked since iron is an important cofactor for dopamine synthesis. ADHD is associated with dysregulation of dopaminergic transmission. Therefore, we applied QSM on subcortical structures, to study potential alterations in brain iron and its impact on cognition and mental health in children with ADHD. METHODS 3 Tesla QSM-data of 111 participants (nADHD= 58, mean age: 13.2 (0.63); nControls=53, mean age: 13.2 (0.51)) were analyzed. Subcortical regional brain iron values were extracted. ANOVAs examined group differences for each region of interest. For dimensional approaches, Pearson correlation analysis was performed across the cohort examining the association with symptoms, mental health, and cognition. RESULTS No significant differences were found in iron susceptibility between ADHD and control, between persistent and remitted ADHD, or between medication use. An unexpected finding was that children with internalising disorder had significantly higher iron susceptibility, but the result did not survive multiple comparison corrections. Higher brain iron was associated with sustained attention, but not on inhibition, IQ, and working memory. CONCLUSION This is the first study addressing brain iron susceptibility and its association with comorbidities and cognition in ADHD. Alterations in brain iron may not account for the full diagnosis of ADHD but may be an indicator of internalising problems in children. Alterations in brain iron content in children were linked to detrimental sustained attention and may represent developmental variation in cognition.
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Affiliation(s)
- Marcel Schulze
- Department of Psychiatry and Psychotherapy, University of Bonn, Bonn, Germany
| | - David Coghill
- Department of Paediatrics, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, VIC, Australia; Department of Mental Health, The Royal Children's Hospital, Parkville, VIC, Australia; Neurodevelopment and Disability Research, Murdoch Children's Research Institute, The Royal Children's Hospital, Parkville, VIC, Australia
| | - Silke Lux
- Department of Psychiatry and Psychotherapy, University of Bonn, Bonn, Germany
| | - Alexandra Philipsen
- Department of Psychiatry and Psychotherapy, University of Bonn, Bonn, Germany
| | - Tim Silk
- Centre for Social and Early Emotional Development and School of Psychology, Deakin University, Geelong VIC 3220, Australia; Developmental Imaging, Murdoch Children's Research Institute, Melbourne VIC 3052, Australia.
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Morandini HAE, Watson PA, Barbaro P, Rao P. Brain iron concentration in childhood ADHD: A systematic review of neuroimaging studies. J Psychiatr Res 2024; 173:200-209. [PMID: 38547742 DOI: 10.1016/j.jpsychires.2024.03.035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Revised: 02/23/2024] [Accepted: 03/22/2024] [Indexed: 04/17/2024]
Abstract
Iron deficiency may play a role in the pathophysiology of Attention Deficit/Hyperactivity Disorder (ADHD). Due to its preponderant function in monoamine catecholamine and myelin synthesis, brain iron concentration may be of primary interest in the investigation of iron dysregulation in ADHD. This study reviewed current evidence of brain iron abnormalities in children and adolescents with ADHD using magnetic resonance imaging methods, such as relaxometry and quantitative susceptibility mapping, to assess brain iron estimates. The study was conducted following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. A literature search was performed for studies published between January 1, 2008 and July 7, 2023 in Medline, Scopus and Proquest. Regions of interest, brain iron index values and phenotypical information were extracted from the relevant studies. Risk of bias was assessed using a modified version of the National Heart, Lung, and Blood Institute quality assessment tool. Seven cross-sectional studies comparing brain iron estimates in children with ADHD with neurotypical children were included. Significantly reduced brain iron content in medication-naïve children with ADHD was a consistent finding. Two studies found psychostimulant use may increase and normalize brain iron concentration in children with ADHD. The findings were consistent across the studies despite differing methodologies and may lay the early foundation for the recognition of a potential biomarker in ADHD, although longitudinal prospective neuroimaging studies using larger sample sizes are required. Lastly, the effects of iron supplementation on brain iron concentration in children with ADHD need to be elucidated.
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Affiliation(s)
- Hugo A E Morandini
- Complex Attention and Hyperactivity Disorders Service, Child and Adolescent Health Services, Perth, WA, Australia; Division of Psychiatry, UWA Medical School, Faculty of Health & Medical Sciences, The University of Western Australia, Australia.
| | - Prue A Watson
- Complex Attention and Hyperactivity Disorders Service, Child and Adolescent Health Services, Perth, WA, Australia
| | - Parma Barbaro
- Complex Attention and Hyperactivity Disorders Service, Child and Adolescent Health Services, Perth, WA, Australia
| | - Pradeep Rao
- Complex Attention and Hyperactivity Disorders Service, Child and Adolescent Health Services, Perth, WA, Australia; Division of Psychiatry, UWA Medical School, Faculty of Health & Medical Sciences, The University of Western Australia, Australia; Telethon Kids Institute, Perth, Australia
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Levi S, Ripamonti M, Moro AS, Cozzi A. Iron imbalance in neurodegeneration. Mol Psychiatry 2024; 29:1139-1152. [PMID: 38212377 PMCID: PMC11176077 DOI: 10.1038/s41380-023-02399-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Revised: 12/19/2023] [Accepted: 12/22/2023] [Indexed: 01/13/2024]
Abstract
Iron is an essential element for the development and functionality of the brain, and anomalies in its distribution and concentration in brain tissue have been found to be associated with the most frequent neurodegenerative diseases. When magnetic resonance techniques allowed iron quantification in vivo, it was confirmed that the alteration of brain iron homeostasis is a common feature of many neurodegenerative diseases. However, whether iron is the main actor in the neurodegenerative process, or its alteration is a consequence of the degenerative process is still an open question. Because the different iron-related pathogenic mechanisms are specific for distinctive diseases, identifying the molecular mechanisms common to the various pathologies could represent a way to clarify this complex topic. Indeed, both iron overload and iron deficiency have profound consequences on cellular functioning, and both contribute to neuronal death processes in different manners, such as promoting oxidative damage, a loss of membrane integrity, a loss of proteostasis, and mitochondrial dysfunction. In this review, with the attempt to elucidate the consequences of iron dyshomeostasis for brain health, we summarize the main pathological molecular mechanisms that couple iron and neuronal death.
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Affiliation(s)
- Sonia Levi
- Vita-Salute San Raffaele University, Milano, Italy.
- IRCCS San Raffaele Scientific Institute, Milano, Italy.
| | | | - Andrea Stefano Moro
- Vita-Salute San Raffaele University, Milano, Italy
- Department of Psychology, Sigmund Freud University, Milan, Italy
| | - Anna Cozzi
- IRCCS San Raffaele Scientific Institute, Milano, Italy
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Lee EY, Kim J, Prado-Rico JM, Du G, Lewis MM, Kong L, Yanosky JD, Eslinger P, Kim BG, Hong YS, Mailman RB, Huang X. Effects of mixed metal exposures on MRI diffusion features in the medial temporal lobe. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2023.07.18.23292828. [PMID: 37503124 PMCID: PMC10371112 DOI: 10.1101/2023.07.18.23292828] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/29/2023]
Abstract
Background Environmental exposure to metal mixtures is common and may be associated with increased risk for neurodegenerative disorders including Alzheimer's disease. Objective This study examined associations of mixed metal exposures with medial temporal lobe (MTL) MRI structural metrics and neuropsychological performance. Methods Metal exposure history, whole blood metal, and neuropsychological tests were obtained from subjects with/without a history of mixed metal exposure from welding fumes (42 exposed subjects; 31 controls). MTL structures (hippocampus, entorhinal and parahippocampal cortices) were assessed by morphologic (volume, cortical thickness) and diffusion tensor imaging [mean (MD), axial (AD), radial diffusivity (RD), and fractional anisotropy (FA)] metrics. In exposed subjects, correlation, multiple linear, Bayesian kernel machine regression, and mediation analyses were employed to examine effects of single- or mixed-metal predictor(s) and their interactions on MTL structural and neuropsychological metrics; and on the path from metal exposure to neuropsychological consequences. Results Compared to controls, exposed subjects had higher blood Cu, Fe, K, Mn, Pb, Se, and Zn levels (p's<0.026) and poorer performance in processing/psychomotor speed, executive, and visuospatial domains (p's<0.046). Exposed subjects displayed higher MD, AD, and RD in all MTL ROIs (p's<0.040) and lower FA in entorhinal and parahippocampal cortices (p's<0.033), but not morphological differences. Long-term mixed-metal exposure history indirectly predicted lower processing speed performance via lower parahippocampal FA (p=0.023). Higher whole blood Mn and Cu predicted higher entorhinal diffusivity (p's<0.043) and lower Delayed Story Recall performance (p=0.007) without overall metal mixture or interaction effects. Discussion Mixed metal exposure predicted MTL structural and neuropsychological features that are similar to Alzheimer's disease at-risk populations. These data warrant follow-up as they may illuminate the path for environmental exposure to Alzheimer's disease-related health outcomes.
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Affiliation(s)
- Eun-Young Lee
- Department of Health Care and Science, Dong-A University, Busan, South-Korea
| | - Juhee Kim
- Department of Health Care and Science, Dong-A University, Busan, South-Korea
| | - Janina Manzieri Prado-Rico
- Department of Neurology, Pennsylvania State University-Milton S. Hershey Medical Center, Hershey PA 17033, USA
| | - Guangwei Du
- Department of Neurology, Pennsylvania State University-Milton S. Hershey Medical Center, Hershey PA 17033, USA
| | - Mechelle M. Lewis
- Department of Neurology, Pennsylvania State University-Milton S. Hershey Medical Center, Hershey PA 17033, USA
- Department of Pharmacology, Pennsylvania State University-Milton S. Hershey Medical Center, Hershey PA 17033, USA
| | - Lan Kong
- Department of Public Health Sciences, Pennsylvania State University-Milton S. Hershey Medical Center, Hershey PA 17033, USA
| | - Jeff D. Yanosky
- Department of Public Health Sciences, Pennsylvania State University-Milton S. Hershey Medical Center, Hershey PA 17033, USA
| | - Paul Eslinger
- Department of Neurology, Pennsylvania State University-Milton S. Hershey Medical Center, Hershey PA 17033, USA
| | - Byoung-Gwon Kim
- Department of Preventive Medicine, College of Medicine, Dong-A University, Busan, South Korea
| | - Young-Seoub Hong
- Department of Preventive Medicine, College of Medicine, Dong-A University, Busan, South Korea
| | - Richard B. Mailman
- Department of Neurology, Pennsylvania State University-Milton S. Hershey Medical Center, Hershey PA 17033, USA
- Department of Pharmacology, Pennsylvania State University-Milton S. Hershey Medical Center, Hershey PA 17033, USA
| | - Xuemei Huang
- Department of Neurology, Pennsylvania State University-Milton S. Hershey Medical Center, Hershey PA 17033, USA
- Department of Pharmacology, Pennsylvania State University-Milton S. Hershey Medical Center, Hershey PA 17033, USA
- Department of Radiology, Pennsylvania State University-Milton S. Hershey Medical Center, Hershey PA 17033, USA
- Department of Neurosurgery, Pennsylvania State University-Milton S. Hershey Medical Center, Hershey PA 17033, USA
- Department of Kinesiology, Pennsylvania State University-Milton S. Hershey Medical Center, Hershey PA 17033, USA
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Wang J, Zhao J, Zhao K, Wu S, Chen X, Hu W. The Role of Calcium and Iron Homeostasis in Parkinson's Disease. Brain Sci 2024; 14:88. [PMID: 38248303 PMCID: PMC10813814 DOI: 10.3390/brainsci14010088] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2023] [Revised: 01/04/2024] [Accepted: 01/09/2024] [Indexed: 01/23/2024] Open
Abstract
Calcium and iron are essential elements that regulate many important processes of eukaryotic cells. Failure to maintain homeostasis of calcium and iron causes cell dysfunction or even death. PD (Parkinson's disease) is the second most common neurological disorder in humans, for which there are currently no viable treatment options or effective strategies to cure and delay progression. Pathological hallmarks of PD, such as dopaminergic neuronal death and intracellular α-synuclein deposition, are closely involved in perturbations of iron and calcium homeostasis and accumulation. Here, we summarize the mechanisms by which Ca2+ signaling influences or promotes PD progression and the main mechanisms involved in ferroptosis in Parkinson's disease. Understanding the mechanisms by which calcium and iron imbalances contribute to the progression of this disease is critical to developing effective treatments to combat this devastating neurological disorder.
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Affiliation(s)
- Ji Wang
- School of Chinese Materia Medica & Yunnan Key Laboratory of Southern Medicine Utilization, Yunnan University of Chinese Medicine, Kunming 650500, China;
- School of Pharmaceutical Science & Yunnan Key Laboratory of Pharmacology for Natural Products, Kunming Medical University, Kunming 650500, China; (J.Z.); (K.Z.); (S.W.)
| | - Jindong Zhao
- School of Pharmaceutical Science & Yunnan Key Laboratory of Pharmacology for Natural Products, Kunming Medical University, Kunming 650500, China; (J.Z.); (K.Z.); (S.W.)
| | - Kunying Zhao
- School of Pharmaceutical Science & Yunnan Key Laboratory of Pharmacology for Natural Products, Kunming Medical University, Kunming 650500, China; (J.Z.); (K.Z.); (S.W.)
| | - Shangpeng Wu
- School of Pharmaceutical Science & Yunnan Key Laboratory of Pharmacology for Natural Products, Kunming Medical University, Kunming 650500, China; (J.Z.); (K.Z.); (S.W.)
| | - Xinglong Chen
- School of Chinese Materia Medica & Yunnan Key Laboratory of Southern Medicine Utilization, Yunnan University of Chinese Medicine, Kunming 650500, China;
| | - Weiyan Hu
- School of Pharmaceutical Science & Yunnan Key Laboratory of Pharmacology for Natural Products, Kunming Medical University, Kunming 650500, China; (J.Z.); (K.Z.); (S.W.)
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7
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Cabral L, Calabro FJ, Foran W, Parr AC, Ojha A, Rasmussen J, Ceschin R, Panigrahy A, Luna B. Multivariate and regional age-related change in basal ganglia iron in neonates. Cereb Cortex 2024; 34:bhad456. [PMID: 38059685 DOI: 10.1093/cercor/bhad456] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Revised: 10/31/2023] [Accepted: 11/01/2023] [Indexed: 12/08/2023] Open
Abstract
In the perinatal period, reward and cognitive systems begin trajectories, influencing later psychiatric risk. The basal ganglia is important for reward and cognitive processing but early development has not been fully characterized. To assess age-related development, we used a measure of basal ganglia physiology, specifically brain tissue iron, obtained from nT2* signal in resting-state functional magnetic resonance imaging (rsfMRI), associated with dopaminergic processing. We used data from the Developing Human Connectome Project (n = 464) to assess how moving from the prenatal to the postnatal environment affects rsfMRI nT2*, modeling gestational and postnatal age separately for basal ganglia subregions in linear models. We did not find associations with tissue iron and gestational age [range: 24.29-42.29] but found positive associations with postnatal age [range:0-17.14] in the pallidum and putamen, but not the caudate. We tested if there was an interaction between preterm birth and postnatal age, finding early preterm infants (GA < 35 wk) had higher iron levels and changed less over time. To assess multivariate change, we used support vector regression to predict age from voxel-wise-nT2* maps. We could predict postnatal but not gestational age when maps were residualized for the other age term. This provides evidence subregions differentially change with postnatal experience and preterm birth may disrupt trajectories.
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Affiliation(s)
- Laura Cabral
- Department of Radiology University of Pittsburgh, Pittsburgh, PA 15224, United States
| | - Finnegan J Calabro
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA 15213, United States
- Department of Bioengineering, University of Pittsburgh, 15213, United States
| | - Will Foran
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA 15213, United States
| | - Ashley C Parr
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA 15213, United States
| | - Amar Ojha
- Center for Neuroscience, University of Pittsburgh, Pittsburgh, PA 15213, United States
- Center for the Neural Basis of Cognition, University of Pittsburgh, Pittsburgh, PA 15213, United States
| | - Jerod Rasmussen
- Development, Health and Disease Research Program, University of California, Irvine, CA 92697, United States
- Department of Pediatrics, University of California, Irvine, CA 92697, United States
| | - Rafael Ceschin
- Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA 15224, United States
| | - Ashok Panigrahy
- Department of Radiology University of Pittsburgh, Pittsburgh, PA 15224, United States
| | - Beatriz Luna
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA 15213, United States
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8
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Ji L, Yoon YB, Hendrix CL, Kennelly EC, Majbri A, Bhatia T, Taylor A, Thomason ME. Developmental coupling of brain iron and intrinsic activity in infants during the first 150 days. Dev Cogn Neurosci 2023; 64:101326. [PMID: 37979299 PMCID: PMC10692666 DOI: 10.1016/j.dcn.2023.101326] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Revised: 10/30/2023] [Accepted: 11/15/2023] [Indexed: 11/20/2023] Open
Abstract
Brain iron is vital for core neurodevelopmental processes including myelination and neurotransmitter synthesis and, accordingly, iron accumulates in the brain with age. However, little is known about the association between brain iron and neural functioning and how they evolve with age in early infancy. This study investigated brain iron in 48 healthy infants (22 females) aged 64.00 ± 33.28 days by estimating R2 * relaxometry from multi-echo functional MRI (fMRI). Linked independent component analysis was performed to examine the association between iron deposition and spontaneous neural activity, as measured by the amplitude of low frequency fluctuations (ALFF) by interrogating shared component loadings across modalities. Further, findings were validated in an independent dataset (n = 45, 24 females, 77.93 ± 26.18 days). The analysis revealed developmental coupling between the global R2 * and ALFF within the default mode network (DMN). Furthermore, we observed that this coupling effect significantly increased with age (r = 0.78, p = 9.2e-11). Our results highlight the importance of iron-neural coupling during early development and suggest that the neural maturation of the DMN may correspond to growth in distributed brain iron.
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Affiliation(s)
- Lanxin Ji
- Department of Child and Adolescent Psychiatry, New York University School of Medicine, New York, NY, USA.
| | - Youngwoo Bryan Yoon
- Department of Child and Adolescent Psychiatry, New York University School of Medicine, New York, NY, USA
| | - Cassandra L Hendrix
- Department of Child and Adolescent Psychiatry, New York University School of Medicine, New York, NY, USA
| | | | - Amyn Majbri
- Department of Child and Adolescent Psychiatry, New York University School of Medicine, New York, NY, USA
| | - Tanya Bhatia
- Department of Child and Adolescent Psychiatry, New York University School of Medicine, New York, NY, USA
| | - Alexis Taylor
- Department of Psychology, Wayne State University, USA
| | - Moriah E Thomason
- Department of Child and Adolescent Psychiatry, New York University School of Medicine, New York, NY, USA; Department of Population Health, New York University School of Medicine, New York, NY, USA; Neuroscience Institute, New York University School of Medicine, New York, NY, USA
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9
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Cascone AD, Calabro F, Foran W, Larsen B, Nugiel T, Parr AC, Tervo-Clemmens B, Luna B, Cohen JR. Brain tissue iron neurophysiology and its relationship with the cognitive effects of dopaminergic modulation in children with and without ADHD. Dev Cogn Neurosci 2023; 63:101274. [PMID: 37453207 PMCID: PMC10372187 DOI: 10.1016/j.dcn.2023.101274] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2022] [Revised: 07/03/2023] [Accepted: 07/06/2023] [Indexed: 07/18/2023] Open
Abstract
Children with attention-deficit/hyperactivity disorder (ADHD) exhibit impairments in response inhibition. These impairments are ameliorated by modulating dopamine (DA) via the administration of rewards or stimulant medication like methylphenidate (MPH). It is currently unclear whether intrinsic DA availability impacts these effects of dopaminergic modulation on response inhibition. Thus, we estimated intrinsic DA availability using magnetic resonance-based assessments of basal ganglia and thalamic tissue iron in 36 medication-naïve children with ADHD and 29 typically developing (TD) children (8-12 y) who underwent fMRI scans and completed standard and rewarded go/no-go tasks. Children with ADHD additionally participated in a double-blind, randomized, placebo-controlled, crossover MPH challenge. Using linear regressions covarying for age and sex, we determined there were no group differences in brain tissue iron. We additionally found that higher putamen tissue iron was associated with worse response inhibition performance in all participants. Crucially, we observed that higher putamen and caudate tissue iron was associated with greater responsivity to MPH, as measured by improved task performance, in participants with ADHD. These results begin to clarify the role of subcortical brain tissue iron, a measure associated with intrinsic DA availability, in the cognitive effects of reward- and MPH-related dopaminergic modulation in children with ADHD and TD children.
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Affiliation(s)
- Arianna D Cascone
- Neuroscience Curriculum, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
| | - Finnegan Calabro
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA; Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA, USA
| | - William Foran
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Bart Larsen
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Tehila Nugiel
- Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Ashley C Parr
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Brenden Tervo-Clemmens
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Beatriz Luna
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Jessica R Cohen
- Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
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10
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Cabral L, Calabro FJ, Rasmussen J, Foran W, Moore LA, Graham A, O'Connor TG, Wadhwa PD, Entringer S, Fair D, Buss C, Panigrahy A, Luna B. Gestational and postnatal age associations for striatal tissue iron deposition in early infancy. Dev Cogn Neurosci 2023; 63:101286. [PMID: 37549453 PMCID: PMC10423888 DOI: 10.1016/j.dcn.2023.101286] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Revised: 06/28/2023] [Accepted: 07/21/2023] [Indexed: 08/09/2023] Open
Abstract
Striatal development is crucial for later motor, cognitive, and reward behavior, but age-related change in striatal physiology during the neonatal period remains understudied. An MRI-based measure of tissue iron deposition, T2*, is a non-invasive way to probe striatal physiology neonatally, linked to dopaminergic processing and cognition in children and adults. Striatal subregions have distinct functions that may come online at different time periods in early life. To identify if there are critical periods before or after birth, we measured if striatal iron accrued with gestational age at birth [range= 34.57-41.85 weeks] or postnatal age at scan [range= 5-64 days], using MRI to probe the T2* signal in N = 83 neonates in three striatal subregions. We found iron increased with postnatal age in the pallidum and putamen but not the caudate. No significant relationship between iron and gestational age was observed. Using a subset of infants scanned at preschool age (N = 26), we show distributions of iron shift between time points. In infants, the pallidum had the least iron of the three regions but had the most by preschool age. Together, this provides evidence of distinct change for striatal subregions, a possible differentiation between motor and cognitive systems, identifying a mechanism that may impact future trajectories.
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Affiliation(s)
- Laura Cabral
- Department of Radiology, University of Pittsburgh, Pittsburgh, PA, USA.
| | - Finnegan J Calabro
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA; Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA, USA
| | - Jerod Rasmussen
- Development, Health and Disease Research Program, University of California, Irvine, CA 92697, USA; Department of Pediatrics, University of California, Irvine, CA 92697, USA
| | - Will Foran
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Lucille A Moore
- Masonic Institute for the Developing Brain, University of Minnesota, USA
| | - Alice Graham
- Department of Psychiatry, Oregon Health & Science University, Portland, OR 97239, USA
| | - Thomas G O'Connor
- Departments of Psychiatry, Neuroscience, and Obstetrics and Gynecology, University of Rochester, Rochester, NY 14642, USA
| | - Pathik D Wadhwa
- Development, Health, and Disease Research Program, Departments of Pediatrics, Psychiatry and Human Behavior, Obstetrics and Gynecology, and Epidemiology, University of California, Irvine, School of Medicine, Irvine, CA, USA; Department of Pediatrics, University of California, Irvine, School of Medicine, Orange, CA, USA; Departments of Psychiatry and Human Behavior, Obstetrics and Gynecology, and Epidemiology, University of California, Irvine, School of Medicine, Orange, CA, USA
| | - Sonja Entringer
- Development, Health, and Disease Research Program, Departments of Pediatrics, Psychiatry and Human Behavior, Obstetrics and Gynecology, and Epidemiology, University of California, Irvine, School of Medicine, Irvine, CA, USA; Department of Pediatrics, University of California, Irvine, School of Medicine, Orange, CA, USA; Institute of Medical Psychology, Charité- Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Damien Fair
- Masonic Institute for the Developing Brain, University of Minnesota, USA
| | - Claudia Buss
- Development, Health, and Disease Research Program, Departments of Pediatrics, Psychiatry and Human Behavior, Obstetrics and Gynecology, and Epidemiology, University of California, Irvine, School of Medicine, Irvine, CA, USA; Department of Pediatrics, University of California, Irvine, School of Medicine, Orange, CA, USA; Institute of Medical Psychology, Charité- Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Ashok Panigrahy
- Department of Radiology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Beatriz Luna
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
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11
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Cubello J, Peterson DR, Wang L, Mayer-Proschel M. Maternal Iron Deficiency and Environmental Lead (Pb) Exposure Alter the Predictive Value of Blood Pb Levels on Brain Pb Burden in the Offspring in a Dietary Mouse Model: An Important Consideration for Cumulative Risk in Development. Nutrients 2023; 15:4101. [PMID: 37836385 PMCID: PMC10574741 DOI: 10.3390/nu15194101] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Revised: 09/18/2023] [Accepted: 09/20/2023] [Indexed: 10/15/2023] Open
Abstract
Maternal iron deficiency (ID) and environmental lead (Pb) exposure are co-occurring insults that both affect the neurodevelopment of offspring. Few studies have investigated how ID affects brain-region-specific Pb accumulations using human-relevant Pb concentrations. Furthermore, how these Pb exposures impact blood and brain Fe levels remains unclear. Importantly, we also wanted to determine whether the use of blood Pb levels as a surrogate for the brain Pb burden is affected by underlying iron status. We exposed virgin Swiss Webster female mice to one of six conditions differing by iron diet and Pb water concentration (0 ppm, 19 ppm, or 50 ppm lead acetate) and used Inductively Coupled Plasma Mass Spectrometry to measure the maternal and offspring circulating, stored, and brain Pb levels. We found that maternal ID rendered the offspring iron-deficient anemic and led to a region-specific depletion of brain Fe that was exacerbated by Pb in a dose-specific manner. The postnatal iron deficiency anemia also exacerbated cortical and hippocampal Pb accumulation. Interestingly, BPb levels only correlated with the brain Pb burden in ID pups but not in IN offspring. We conclude that ID significantly increases the brain Pb burden and that BPb levels alone are insufficient as a clinical surrogate to make extrapolations on the brain Pb burden.
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Affiliation(s)
- Janine Cubello
- Department of Environmental Medicine, University of Rochester, Rochester, NY 14642, USA;
| | - Derick R. Peterson
- Department of Biostatistics and Computational Biology, University of Rochester, Rochester, NY 14642, USA; (D.R.P.); (L.W.)
| | - Lu Wang
- Department of Biostatistics and Computational Biology, University of Rochester, Rochester, NY 14642, USA; (D.R.P.); (L.W.)
| | - Margot Mayer-Proschel
- Department of Biomedical Genetics, University of Rochester, Rochester, NY 14642, USA
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12
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Larsen B, Baller EB, Boucher AA, Calkins ME, Laney N, Moore TM, Roalf DR, Ruparel K, Gur RC, Gur RE, Georgieff MK, Satterthwaite TD. Development of Iron Status Measures during Youth: Associations with Sex, Neighborhood Socioeconomic Status, Cognitive Performance, and Brain Structure. Am J Clin Nutr 2023; 118:121-131. [PMID: 37146760 PMCID: PMC10375461 DOI: 10.1016/j.ajcnut.2023.05.005] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Revised: 04/24/2023] [Accepted: 05/01/2023] [Indexed: 05/07/2023] Open
Abstract
BACKGROUND Iron is essential to brain function, and iron deficiency during youth may adversely impact neurodevelopment. Understanding the developmental time course of iron status and its association with neurocognitive functioning is important for identifying windows for intervention. OBJECTIVES This study aimed to characterize developmental change in iron status and understand its association with cognitive performance and brain structure during adolescence using data from a large pediatric health network. METHODS This study included a cross-sectional sample of 4899 participants (2178 males; aged 8-22 y at the time of participation, M [SD] = 14.24 [3.7]) who were recruited from the Children's Hospital of Philadelphia network. Prospectively collected research data were enriched with electronic medical record data that included hematological measures related to iron status, including serum hemoglobin, ferritin, and transferrin (33,015 total samples). At the time of participation, cognitive performance was assessed using the Penn Computerized Neurocognitive Battery, and brain white matter integrity was assessed using diffusion-weighted MRI in a subset of individuals. RESULTS Developmental trajectories were characterized for all metrics and revealed that sex differences emerged after menarche such that females had reduced iron status relative to males [all R2partial > 0.008; all false discovery rates (FDRs) < 0.05]. Higher socioeconomic status was associated with higher hemoglobin concentrations throughout development (R2partial = 0.005; FDR < 0.001), and the association was greatest during adolescence. Higher hemoglobin concentrations were associated with better cognitive performance during adolescence (R2partial = 0.02; FDR < 0.001) and mediated the association between sex and cognition (mediation effect = -0.107; 95% CI: -0.191, -0.02). Higher hemoglobin concentration was also associated with greater brain white matter integrity in the neuroimaging subsample (R2partial = 0.06, FDR = 0.028). CONCLUSIONS Iron status evolves during youth and is lowest in females and individuals of low socioeconomic status during adolescence. Diminished iron status during adolescence has consequences for neurocognition, suggesting that this critical period of neurodevelopment may be an important window for intervention that has the potential to reduce health disparities in at-risk populations.
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Affiliation(s)
- Bart Larsen
- Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA, United States; Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, United States; Penn/Children's Hospital of Philadelphia Lifespan Brain Institute, University of Pennsylvania, Philadelphia, PA, United States.
| | - Erica B Baller
- Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA, United States; Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, United States; Penn/Children's Hospital of Philadelphia Lifespan Brain Institute, University of Pennsylvania, Philadelphia, PA, United States
| | - Alexander A Boucher
- Department of Pediatrics, Division of Pediatric Hematology/Oncology, University of Minnesota, Minneapolis, MN, United States
| | - Monica E Calkins
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, United States; Penn/Children's Hospital of Philadelphia Lifespan Brain Institute, University of Pennsylvania, Philadelphia, PA, United States
| | - Nina Laney
- Penn/Children's Hospital of Philadelphia Lifespan Brain Institute, University of Pennsylvania, Philadelphia, PA, United States
| | - Tyler M Moore
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, United States; Penn/Children's Hospital of Philadelphia Lifespan Brain Institute, University of Pennsylvania, Philadelphia, PA, United States
| | - David R Roalf
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, United States; Penn/Children's Hospital of Philadelphia Lifespan Brain Institute, University of Pennsylvania, Philadelphia, PA, United States
| | - Kosha Ruparel
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, United States; Penn/Children's Hospital of Philadelphia Lifespan Brain Institute, University of Pennsylvania, Philadelphia, PA, United States
| | - Ruben C Gur
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, United States; Penn/Children's Hospital of Philadelphia Lifespan Brain Institute, University of Pennsylvania, Philadelphia, PA, United States; Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States
| | - Raquel E Gur
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, United States; Penn/Children's Hospital of Philadelphia Lifespan Brain Institute, University of Pennsylvania, Philadelphia, PA, United States; Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States
| | - Michael K Georgieff
- Department of Pediatrics, Division of Neonatology, University of Minnesota Medical School, Minneapolis, MN, United States
| | - Theodore D Satterthwaite
- Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA, United States; Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, United States; Penn/Children's Hospital of Philadelphia Lifespan Brain Institute, University of Pennsylvania, Philadelphia, PA, United States
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13
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Cabral L, Calabro F, Rasmussen J, Foran W, Moore LA, Graham A, O'Connor TG, Wadhwa PD, Entringer S, Fair D, Buss C, Panigrahy A, Luna B. Gestational and postnatal age associations for striatal tissue iron deposition in early infancy. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.06.30.547249. [PMID: 37425933 PMCID: PMC10327226 DOI: 10.1101/2023.06.30.547249] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/11/2023]
Abstract
Striatal development is crucial for later motor, cognitive, and reward behavior, but age-related change in striatal physiology during the neonatal period remains understudied. An MRI-based measure of tissue iron deposition, T2*, is a non-invasive way to probe striatal physiology neonatally, linked to dopaminergic processing and cognition in children and adults. Striatal subregions have distinct functions that may come online at different time periods in early life. To identify if there are critical periods before or after birth, we measured if striatal iron accrued with gestational age at birth [range=34.57-41.85 weeks] or postnatal age at scan [range=5-64 days], using MRI to probe the T2* signal in N=83 neonates in three striatal subregions. We found iron increased with postnatal age in the pallidum and putamen but not the caudate. No significant relationship between iron and gestational age was observed. Using a subset of infants scanned at preschool age (N=26), we show distributions of iron shift between timepoints. In infants, the pallidum had the least iron of the three regions but had the most by preschool age. Together, this provides evidence of distinct change for striatal subregions, a possible differentiation between motor and cognitive systems, identifying a mechanism that may impact future trajectories. Highlights Neonatal striatal tissue iron can be measured using the T2* signal from rsfMRInT2* changed with postnatal age in the pallidum and putamen but not in the caudatenT2* did not change with gestational age in any of the three regionsPatterns of iron deposition (nT2*) among regions shift from infancy to preschool.
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Affiliation(s)
- Laura Cabral
- Department of Radiology University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Finn Calabro
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Jerod Rasmussen
- Development, Health and Disease Research Program, University of California, Irvine, California, USA 92697
| | - Will Foran
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Luci A Moore
- Department of Pediatrics, University of Minnesota, Minneapolis, Minnesota, USA 14642
| | - Alice Graham
- Department of Behavioral Neuroscience, Oregon Health & Science University, Portland, OR, 97239, United States
| | - Thomas G O'Connor
- Departments of Psychiatry, Neuroscience, and Obstetrics and Gynecology, University of Rochester, Rochester, New York, USA 14642
| | - Pathik D Wadhwa
- Development, Health and Disease Research Program, University of California, Irvine, California, USA 92697
| | - Sonja Entringer
- Development, Health and Disease Research Program, University of California, Irvine, California, USA 92697
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health (BIH), Department of Medical Psychology, Berlin, Germany
| | - Damien Fair
- Department of Pediatrics, University of Minnesota, Minneapolis, Minnesota, USA 14642
| | - Claudia Buss
- Development, Health and Disease Research Program, University of California, Irvine, California, USA 92697
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health (BIH), Department of Medical Psychology, Berlin, Germany
| | - Ashok Panigrahy
- Department of Radiology University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Beatriz Luna
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
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14
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Sun 孙意冉 Y, Yan C, He L, Xiang S, Wang P, Li Z, Chen Y, Zhao J, Yuan Y, Wang W, Zhang X, Su P, Su Y, Ma J, Xu J, Peng Q, Ma H, Xie Z, Zhang Z. Inhibition of ferroptosis through regulating neuronal calcium homeostasis: An emerging therapeutic target for Alzheimer's disease. Ageing Res Rev 2023; 87:101899. [PMID: 36871781 DOI: 10.1016/j.arr.2023.101899] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Revised: 02/22/2023] [Accepted: 03/02/2023] [Indexed: 03/07/2023]
Abstract
Alzheimer's disease (AD), a chronic and progressive neurodegenerative disease, generates a serious threat to the health of the elderly. The AD brain is microscopically characterized by amyloid plaques and neurofibrillary tangles. There are still no effective therapeutic drugs to restrain the progression of AD though much attention has been paid to exploit AD treatments. Ferroptosis, a type of programmed cell death, has been reported to promote the pathological occurrence and development of AD, and inhibition of neuronal ferroptosis can effectively improve the cognitive impairment of AD. Studies have shown that calcium (Ca2+) dyshomeostasis is closely related to the pathology of AD, and can drive the occurrence of ferroptosis through several pathways, such as interacting with iron, and regulating the crosstalk between endoplasmic reticulum (ER) and mitochondria. This paper mainly reviews the roles of ferroptosis and Ca2+ in the pathology of AD, and highlights that restraining ferroptosis through maintaining the homeostasis of Ca2+ may be an innovative target for the treatment of AD.
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Affiliation(s)
- Yiran Sun 孙意冉
- Henan Engineering Research Center for Prevention and Treatment of Major Chronic Diseases with Chinese Medicine, Academy of Chinese Medical Sciences, Henan University of Chinese Medicine, Zhengzhou 450046, China.
| | - Chenchen Yan
- Henan Engineering Research Center for Prevention and Treatment of Major Chronic Diseases with Chinese Medicine, Academy of Chinese Medical Sciences, Henan University of Chinese Medicine, Zhengzhou 450046, China
| | - Libo He
- Key Laboratory of Bio-Resources and Eco-Environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu 610065, Sichuan, China
| | - Shixie Xiang
- Henan Engineering Research Center for Prevention and Treatment of Major Chronic Diseases with Chinese Medicine, Academy of Chinese Medical Sciences, Henan University of Chinese Medicine, Zhengzhou 450046, China
| | - Pan Wang
- Henan Engineering Research Center for Prevention and Treatment of Major Chronic Diseases with Chinese Medicine, Academy of Chinese Medical Sciences, Henan University of Chinese Medicine, Zhengzhou 450046, China
| | - Zhonghua Li
- Henan Engineering Research Center for Prevention and Treatment of Major Chronic Diseases with Chinese Medicine, Academy of Chinese Medical Sciences, Henan University of Chinese Medicine, Zhengzhou 450046, China
| | - Yuanzhao Chen
- Henan Engineering Research Center for Prevention and Treatment of Major Chronic Diseases with Chinese Medicine, Academy of Chinese Medical Sciences, Henan University of Chinese Medicine, Zhengzhou 450046, China
| | - Jie Zhao
- Henan Engineering Research Center for Prevention and Treatment of Major Chronic Diseases with Chinese Medicine, Academy of Chinese Medical Sciences, Henan University of Chinese Medicine, Zhengzhou 450046, China
| | - Ye Yuan
- Henan Engineering Research Center for Prevention and Treatment of Major Chronic Diseases with Chinese Medicine, Academy of Chinese Medical Sciences, Henan University of Chinese Medicine, Zhengzhou 450046, China
| | - Wang Wang
- School of basic medicine, Nanchang Medical College, Nanchang 330052, Jiangxi, China
| | - Xiaowei Zhang
- Henan Engineering Research Center for Prevention and Treatment of Major Chronic Diseases with Chinese Medicine, Academy of Chinese Medical Sciences, Henan University of Chinese Medicine, Zhengzhou 450046, China
| | - Pan Su
- Henan Engineering Research Center for Prevention and Treatment of Major Chronic Diseases with Chinese Medicine, Academy of Chinese Medical Sciences, Henan University of Chinese Medicine, Zhengzhou 450046, China
| | - Yunfang Su
- Henan Engineering Research Center for Prevention and Treatment of Major Chronic Diseases with Chinese Medicine, Academy of Chinese Medical Sciences, Henan University of Chinese Medicine, Zhengzhou 450046, China
| | - Jinlian Ma
- Henan Engineering Research Center for Prevention and Treatment of Major Chronic Diseases with Chinese Medicine, Academy of Chinese Medical Sciences, Henan University of Chinese Medicine, Zhengzhou 450046, China
| | - Jiangyan Xu
- Henan Engineering Research Center for Prevention and Treatment of Major Chronic Diseases with Chinese Medicine, Academy of Chinese Medical Sciences, Henan University of Chinese Medicine, Zhengzhou 450046, China
| | - Quekun Peng
- School of Biosciences and Technology, Chengdu Medical College, Chengdu 610500, China.
| | - Huifen Ma
- Henan Engineering Research Center for Prevention and Treatment of Major Chronic Diseases with Chinese Medicine, Academy of Chinese Medical Sciences, Henan University of Chinese Medicine, Zhengzhou 450046, China.
| | - Zhishen Xie
- Henan Engineering Research Center for Prevention and Treatment of Major Chronic Diseases with Chinese Medicine, Academy of Chinese Medical Sciences, Henan University of Chinese Medicine, Zhengzhou 450046, China.
| | - Zhenqiang Zhang
- Henan Engineering Research Center for Prevention and Treatment of Major Chronic Diseases with Chinese Medicine, Academy of Chinese Medical Sciences, Henan University of Chinese Medicine, Zhengzhou 450046, China.
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15
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Decreased basal ganglia and thalamic iron in early psychotic spectrum disorders are associated with increased psychotic and schizotypal symptoms. Mol Psychiatry 2022; 27:5144-5153. [PMID: 36071113 PMCID: PMC9772130 DOI: 10.1038/s41380-022-01740-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Revised: 08/08/2022] [Accepted: 08/10/2022] [Indexed: 01/14/2023]
Abstract
Iron deficits have been reported as a risk factor for psychotic spectrum disorders (PSD). However, examinations of brain iron in PSD remain limited. The current study employed quantitative MRI to examine iron content in several iron-rich subcortical structures in 49 young adult individuals with PSD (15 schizophrenia, 17 schizoaffective disorder, and 17 bipolar disorder with psychotic features) compared with 35 age-matched healthy controls (HC). A parametric approach based on a two-pool magnetization transfer model was applied to estimate longitudinal relaxation rate (R1), which reflects both iron and myelin, and macromolecular proton fraction (MPF), which is specific to myelin. To describe iron content, a synthetic effective transverse relaxation rate (R2*) was modeled using a linear fitting of R1 and MPF. PSD patients compared to HC showed significantly reduced R1 and synthetic R2* across examined regions including the pallidum, ventral diencephalon, thalamus, and putamen areas. This finding was primarily driven by decreases in the subgroup with schizophrenia, followed by schizoaffective disorder. No significant group differences were noted for MPF between PSD and HC while for regional volume, significant reductions in patients were only observed in bilateral caudate, suggesting that R1 and synthetic R2* reductions in schizophrenia and schizoaffective patients likely reflect iron deficits that either occur independently or precede structural and myelin changes. Subcortical R1 and synthetic R2* were also found to be inversely related to positive symptoms within the PSD group and to schizotypal traits across the whole sample. These findings that decreased iron in subcortical regions are associated with PSD risk and symptomatology suggest that brain iron deficiencies may play a role in PSD pathology and warrant further study.
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16
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Iron Deposition in Brain: Does Aging Matter? Int J Mol Sci 2022; 23:ijms231710018. [PMID: 36077413 PMCID: PMC9456423 DOI: 10.3390/ijms231710018] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Revised: 08/30/2022] [Accepted: 08/30/2022] [Indexed: 11/17/2022] Open
Abstract
The alteration of iron homeostasis related to the aging process is responsible for increased iron levels, potentially leading to oxidative cellular damage. Iron is modulated in the Central Nervous System in a very sensitive manner and an abnormal accumulation of iron in the brain has been proposed as a biomarker of neurodegeneration. However, contrasting results have been presented regarding brain iron accumulation and the potential link with other factors during aging and neurodegeneration. Such uncertainties partly depend on the fact that different techniques can be used to estimate the distribution of iron in the brain, e.g., indirect (e.g., MRI) or direct (post-mortem estimation) approaches. Furthermore, recent evidence suggests that the propensity of brain cells to accumulate excessive iron as a function of aging largely depends on their anatomical location. This review aims to collect the available data on the association between iron concentration in the brain and aging, shedding light on potential mechanisms that may be helpful in the detection of physiological neurodegeneration processes and neurodegenerative diseases such as Alzheimer's disease.
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17
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Sonnenschein SF, Parr AC, Larsen B, Calabro FJ, Foran W, Eack SM, Luna B, Sarpal DK. Subcortical brain iron deposition in individuals with schizophrenia. J Psychiatr Res 2022; 151:272-278. [PMID: 35523067 DOI: 10.1016/j.jpsychires.2022.04.013] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/06/2021] [Revised: 04/01/2022] [Accepted: 04/18/2022] [Indexed: 11/28/2022]
Abstract
Subcortical structures play a critical role the pathophysiology and treatment of schizophrenia (SZ), yet underlying neurophysiological processes, in vivo, remain largely unexplored. Brain tissue iron, which can be measured with magnetic resonance-based methods, is a crucial component of a variety of neuronal functions including neurotransmitter synthesis. Here we used a proxy measure of tissue iron to examine basal ganglia and thalamic structures in an adult cohort of individuals with chronic SZ. A publicly available dataset of 72 individuals with SZ between ages 18 and 65, and a matched sample of 74 healthy control (HC) participants were included. A novel method that calculated the inverse-normalized T2*-weighted contrast (1/nT2*) was used to estimate brain iron within the basal ganglia and thalamus. Between group, age- and sex-related differences in 1/nT2* were examined, in addition to correlations with measures of psychopathology and cognition. Individuals with SZ showed greater 1/nT2* (iron index) compared to HCs in the thalamus (p < 0.01, FWE corrected). Age-related 1/nT2* accumulation was noted in regions of the basal ganglia, coinciding with prior work, and prominent sex-differences were noted in the caudate and thalamus (p < 0.01, FWE corrected). No significant relationship was observed between 1/nT2* and measures of neurocognition or psychopathology. Overall, our findings characterize a non-invasive proxy measure of tissue iron in SZ and highlight thalamic iron accumulation as a potential marker of illness.
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Affiliation(s)
| | | | - Bart Larsen
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
| | | | | | - Shaun M Eack
- Department of Psychiatry, USA; School of Social Work, USA
| | - Beatriz Luna
- Department of Psychiatry, USA; Department of Psychology, USA; Department of Pediatrics, University of Pittsburgh, Pittsburgh, PA, USA
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18
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Parr AC, Calabro F, Tervo-Clemmens B, Larsen B, Foran W, Luna B. Contributions of dopamine-related basal ganglia neurophysiology to the developmental effects of incentives on inhibitory control. Dev Cogn Neurosci 2022; 54:101100. [PMID: 35344773 PMCID: PMC8961188 DOI: 10.1016/j.dcn.2022.101100] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Revised: 02/23/2022] [Accepted: 03/16/2022] [Indexed: 01/19/2023] Open
Abstract
Inhibitory control can be less reliable in adolescence, however, in the presence of rewards, adolescents' performance often improves to adult levels. Dopamine is known to play a role in signaling rewards and supporting cognition, but its role in the enhancing effects of reward on adolescent cognition and inhibitory control remains unknown. Here, we assessed the contribution of basal ganglia dopamine-related neurophysiology using longitudinal MR-based assessments of tissue iron in rewarded inhibitory control, using an antisaccade task. In line with prior work, we show that neutral performance improves with age, and incentives enhance performance in adolescents to that of adults. We find that basal ganglia tissue iron is associated with individual differences in the magnitude of this reward boost, which is strongest in those with high levels of tissue iron, predominantly in adolescence. Our results provide novel evidence that basal ganglia neurophysiology supports developmental effects of rewards on cognition, which can inform neurodevelopmental models of the role of dopamine in reward processing during adolescence.
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Affiliation(s)
- Ashley C Parr
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA 14213, United States.
| | - Finnegan Calabro
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA 14213, United States; Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA 14213, United States
| | | | - Bart Larsen
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, United States
| | - Will Foran
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA 14213, United States
| | - Beatriz Luna
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA 14213, United States.
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19
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Raab P, Ropele S, Bültmann E, Salcher R, Lanfermann H, Wattjes MP. Analysis of deep grey nuclei susceptibility in early childhood: a quantitative susceptibility mapping and R2* study at 3 Tesla. Neuroradiology 2021; 64:1021-1031. [PMID: 34787698 PMCID: PMC9005446 DOI: 10.1007/s00234-021-02846-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2021] [Accepted: 10/24/2021] [Indexed: 11/18/2022]
Abstract
Purpose Aging is the most significant determinant for brain iron accumulation in the deep grey matter. Data on brain iron evolution during brain maturation in early childhood are limited. The purpose of this study was to investigate age-related iron deposition in the deep grey matter in children using quantitative susceptibility (QSM) and R2* mapping. Methods We evaluated brain MRI scans of 74 children (age 6–154 months, mean 40 months). A multi-echo gradient-echo sequence obtained at 3 Tesla was used for the QSM and R2* calculation. Susceptibility of the pallidum, head of caudate nucleus, and putamen was correlated with age and compared between sexes. Results Susceptibility changes in all three nuclei correlated with age (correlation coefficients for QSM/R2*: globus pallidus 0.955/0.882, caudate nucleus 0.76/0.65, and putamen 0.643/0.611). During the first 2 years, the R2* values increased more rapidly than the QSM values, indicating a combined effect of iron deposition and myelination, followed by a likely dominating effect of iron deposition. There was no significant gender difference. Conclusion QSM and R2* can monitor myelin maturation processes and iron accumulation in the deep grey nuclei of the brain in early life and may be a promising tool for the detection of deviations of this normal process. Susceptibility in the deep nuclei is almost similar early after birth and increases more quickly in the pallidum. The combined use of QSM and R2* analysis is beneficial.
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Affiliation(s)
- Peter Raab
- Department of Diagnostic and Interventional Neuroradiology, Hannover Medical School, Carl-Neuberg-Str. 1, 30625, Hannover, Germany.
| | - Stefan Ropele
- Clinical Department of Neurology, Medical University of Graz, Graz, Austria
| | - Eva Bültmann
- Department of Diagnostic and Interventional Neuroradiology, Hannover Medical School, Carl-Neuberg-Str. 1, 30625, Hannover, Germany
| | - Rolf Salcher
- Clinic for Laryngology, Rhinology and Otology, Hannover Medical School, Hannover, Germany
| | - Heinrich Lanfermann
- Department of Diagnostic and Interventional Neuroradiology, Hannover Medical School, Carl-Neuberg-Str. 1, 30625, Hannover, Germany
| | - Mike P Wattjes
- Department of Diagnostic and Interventional Neuroradiology, Hannover Medical School, Carl-Neuberg-Str. 1, 30625, Hannover, Germany
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The critical roles of iron during the journey from fetus to adolescent: Developmental aspects of iron homeostasis. Blood Rev 2021; 50:100866. [PMID: 34284901 DOI: 10.1016/j.blre.2021.100866] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2020] [Revised: 06/28/2021] [Accepted: 07/01/2021] [Indexed: 12/12/2022]
Abstract
Iron is indispensable for human life. However, it is also potentially toxic, since it catalyzes the formation of harmful oxidative radicals in unbound form and may facilitate pathogen growth. Therefore, iron homeostasis needs to be tightly regulated. Rapid growth and development require large amounts of iron, while (especially young) children are vulnerable to infections with iron-dependent pathogens due to an immature immune system. Moreover, unbalanced iron status early in life may have effects on the nervous system, immune system and gut microbiota that persist into adulthood. In this narrative review, we assess the critical roles of iron for growth and development and elaborate how the body adapts to physiologically high iron demands during the journey from fetus to adolescent. As a first step towards the development of clinical guidelines for the management of iron disorders in children, we summarize the unmet needs regarding the developmental aspects of iron homeostasis.
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21
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Treit S, Naji N, Seres P, Rickard J, Stolz E, Wilman AH, Beaulieu C. R2* and quantitative susceptibility mapping in deep gray matter of 498 healthy controls from 5 to 90 years. Hum Brain Mapp 2021; 42:4597-4610. [PMID: 34184808 PMCID: PMC8410539 DOI: 10.1002/hbm.25569] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2021] [Revised: 06/08/2021] [Accepted: 06/11/2021] [Indexed: 12/17/2022] Open
Abstract
Putative MRI markers of iron in deep gray matter have demonstrated age related changes during discrete periods of healthy childhood or adulthood, but few studies have included subjects across the lifespan. This study reports both transverse relaxation rate (R2*) and quantitative susceptibility mapping (QSM) of four primary deep gray matter regions (thalamus, putamen, caudate, and globus pallidus) in 498 healthy individuals aged 5–90 years. In the caudate, putamen, and globus pallidus, increases of QSM and R2* were steepest during childhood continuing gradually throughout adulthood, except caudate susceptibility which reached a plateau in the late 30s. The thalamus had a unique profile with steeper changes of R2* (reflecting additive effects of myelin and iron) than QSM during childhood, both reaching a plateau in the mid‐30s to early 40s and decreasing thereafter. There were no hemispheric or sex differences for any region. Notably, both R2* and QSM values showed more inter‐subject variability with increasing age from 5 to 90 years, potentially reflecting a common starting point in iron/myelination during childhood that diverges as a result of lifestyle and genetic factors that accumulate with age.
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Affiliation(s)
- Sarah Treit
- Department of Biomedical Engineering, Faculty of Medicine & Dentistry, University of Alberta, Edmonton, Alberta, Canada
| | - Nashwan Naji
- Department of Biomedical Engineering, Faculty of Medicine & Dentistry, University of Alberta, Edmonton, Alberta, Canada
| | - Peter Seres
- Department of Biomedical Engineering, Faculty of Medicine & Dentistry, University of Alberta, Edmonton, Alberta, Canada
| | - Julia Rickard
- Department of Biomedical Engineering, Faculty of Medicine & Dentistry, University of Alberta, Edmonton, Alberta, Canada
| | - Emily Stolz
- Department of Biomedical Engineering, Faculty of Medicine & Dentistry, University of Alberta, Edmonton, Alberta, Canada
| | - Alan H Wilman
- Department of Biomedical Engineering, Faculty of Medicine & Dentistry, University of Alberta, Edmonton, Alberta, Canada
| | - Christian Beaulieu
- Department of Biomedical Engineering, Faculty of Medicine & Dentistry, University of Alberta, Edmonton, Alberta, Canada
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Hermann ER, Chambers E, Davis DN, Montgomery MR, Lin D, Chowanadisai W. Brain Magnetic Resonance Imaging Phenome-Wide Association Study With Metal Transporter Gene SLC39A8. Front Genet 2021; 12:647946. [PMID: 33790950 PMCID: PMC8005600 DOI: 10.3389/fgene.2021.647946] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Accepted: 02/22/2021] [Indexed: 12/16/2022] Open
Abstract
The SLC39A8 gene encodes a divalent metal transporter, ZIP8. SLC39A8 is associated with pleiotropic effects across multiple tissues, including the brain. We determine the different brain magnetic resonance imaging (MRI) phenotypes associated with SLC39A8. We used a phenome-wide association study approach followed by joint and conditional association analysis. Using the summary statistics datasets from a brain MRI genome-wide association study on adult United Kingdom (UK) Biobank participants, we systematically selected all brain MRI phenotypes associated with single-nucleotide polymorphisms (SNPs) within 500 kb of the SLC39A8 genetic locus. For all significant brain MRI phenotypes, we used GCTA-COJO to determine the number of independent association signals and identify index SNPs for each brain MRI phenotype. Linkage equilibrium for brain phenotypes with multiple independent signals was confirmed by LDpair. We identified 24 brain MRI phenotypes that vary due to MRI type and brain region and contain a SNP associated with the SLC39A8 locus. Missense ZIP8 polymorphism rs13107325 was associated with 22 brain MRI phenotypes. Rare ZIP8 variants present in a published UK Biobank dataset are associated with 6 brain MRI phenotypes also linked to rs13107325. Among the 24 datasets, an additional 4 association signals were identified by GCTA-COJO and confirmed to be in linkage equilibrium with rs13107325 using LDpair. These additional association signals represent new probable causative SNPs in addition to rs13107325. This study provides leads into how genetic variation in SLC39A8, a trace mineral transport gene, is linked to brain structure differences and may affect brain development and nervous system function.
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Affiliation(s)
- Evan R Hermann
- Department of Nutritional Sciences, Oklahoma State University, Stillwater, OK, United States
| | - Emily Chambers
- Department of Nutritional Sciences, Oklahoma State University, Stillwater, OK, United States
| | - Danielle N Davis
- Department of Nutritional Sciences, Oklahoma State University, Stillwater, OK, United States
| | - McKale R Montgomery
- Department of Nutritional Sciences, Oklahoma State University, Stillwater, OK, United States
| | - Dingbo Lin
- Department of Nutritional Sciences, Oklahoma State University, Stillwater, OK, United States
| | - Winyoo Chowanadisai
- Department of Nutritional Sciences, Oklahoma State University, Stillwater, OK, United States
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Salami A, Papenberg G, Sitnikov R, Laukka EJ, Persson J, Kalpouzos G. Elevated neuroinflammation contributes to the deleterious impact of iron overload on brain function in aging. Neuroimage 2021; 230:117792. [PMID: 33497770 DOI: 10.1016/j.neuroimage.2021.117792] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2020] [Revised: 12/04/2020] [Accepted: 01/16/2021] [Indexed: 01/24/2023] Open
Abstract
Intracellular iron is essential for many neurobiological mechanisms. However, at high concentrations, iron may induce oxidative stress and inflammation. Brain iron overload has been shown in various neurodegenerative disorders and in normal aging. Elevated brain iron in old age may trigger brain dysfunction and concomitant cognitive decline. However, the exact mechanism underlying the deleterious impact of iron on brain function in aging is unknown. Here, we investigated the role of iron on brain function across the adult lifespan from 187 healthy participants (20-79 years old, 99 women) who underwent fMRI scanning while performing a working-memory n-back task. Iron content was quantified using R2* relaxometry, whereas neuroinflammation was estimated using myo-inositol measured by magnetic resonance spectroscopy. Striatal iron increased non-linearly with age, with linear increases at both ends of adulthood. Whereas higher frontostriatal activity was related to better memory performance independent of age, the link between brain activity and iron differed across age groups. Higher striatal iron was linked to greater frontostriatal activity in younger, but reduced activity in older adults. Further mediation analysis revealed that, after age 40, iron provided unique and shared contributions with neuroinflammation to brain activations, such that neuroinflammation partly mediated brain-iron associations. These findings promote a novel mechanistic understanding of how iron may exert deleterious effects on brain function and cognition with advancing age.
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Affiliation(s)
- Alireza Salami
- Aging Research Center, Karolinska Institutet and Stockholm University, Stockholm, Sweden; Umeå Center for Functional Brain Imaging, Umeå University, Umeå, Sweden; Department of Integrative Medical Biology, Umeå University, Umeå, Sweden; Wallenberg Center for Molecular Medicine, Umeå University, Umeå, Sweden.
| | - Goran Papenberg
- Aging Research Center, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Rouslan Sitnikov
- MRI Research Center, Karolinska University Hospital, Stockholm, Sweden
| | - Erika J Laukka
- Aging Research Center, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Jonas Persson
- Aging Research Center, Karolinska Institutet and Stockholm University, Stockholm, Sweden; School of Law, Psychology and Social Work, Örebro University, Örebro, Sweden
| | - Grégoria Kalpouzos
- Aging Research Center, Karolinska Institutet and Stockholm University, Stockholm, Sweden
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Spence H, McNeil CJ, Waiter GD. The impact of brain iron accumulation on cognition: A systematic review. PLoS One 2020; 15:e0240697. [PMID: 33057378 PMCID: PMC7561208 DOI: 10.1371/journal.pone.0240697] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2020] [Accepted: 10/01/2020] [Indexed: 12/31/2022] Open
Abstract
Iron is involved in many processes in the brain including, myelin generation, mitochondrial function, synthesis of ATP and DNA and the cycling of neurotransmitters. Disruption of normal iron homeostasis can result in iron accumulation in the brain, which in turn can partake in interactions which amplify oxidative damage. The development of MRI techniques for quantifying brain iron has allowed for the characterisation of the impact that brain iron has on cognition and neurodegeneration. This review uses a systematic approach to collate and evaluate the current literature which explores the relationship between brain iron and cognition. The following databases were searched in keeping with a predetermined inclusion criterion: Embase Ovid, PubMed and PsychInfo (from inception to 31st March 2020). The included studies were assessed for study characteristics and quality and their results were extracted and summarised. This review identified 41 human studies of varying design, which statistically assessed the relationship between brain iron and cognition. The most consistently reported interactions were in the Caudate nuclei, where increasing iron correlated poorer memory and general cognitive performance in adulthood. There were also consistent reports of a correlation between increased Hippocampal and Thalamic iron and poorer memory performance, as well as, between iron in the Putamen and Globus Pallidus and general cognition. We conclude that there is consistent evidence that brain iron is detrimental to cognitive health, however, more longitudinal studies will be required to fully understand this relationship and to determine whether iron occurs as a primary cause or secondary effect of cognitive decline.
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Affiliation(s)
- Holly Spence
- Aberdeen Biomedical Imaging Centre, Institute of Medical Sciences, University of Aberdeen, Aberdeen, United Kingdom
| | - Chris J. McNeil
- Aberdeen Biomedical Imaging Centre, Institute of Medical Sciences, University of Aberdeen, Aberdeen, United Kingdom
| | - Gordon D. Waiter
- Aberdeen Biomedical Imaging Centre, Institute of Medical Sciences, University of Aberdeen, Aberdeen, United Kingdom
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Iv M, Ng NN, Nair S, Zhang Y, Lavezo J, Cheshier SH, Holdsworth SJ, Moseley ME, Rosenberg J, Grant GA, Yeom KW. Brain Iron Assessment after Ferumoxytol-enhanced MRI in Children and Young Adults with Arteriovenous Malformations: A Case-Control Study. Radiology 2020; 297:438-446. [PMID: 32930651 DOI: 10.1148/radiol.2020200378] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Background Iron oxide nanoparticles are an alternative contrast agent for MRI. Gadolinium deposition has raised safety concerns, but it is unknown whether ferumoxytol administration also deposits in the brain. Purpose To investigate whether there are signal intensity changes in the brain at multiecho gradient imaging following ferumoxytol exposure in children and young adults. Materials and Methods This retrospective case-control study included children and young adults, matched for age and sex, with brain arteriovenous malformations who received at least one dose of ferumoxytol from January 2014 to January 2018. In participants who underwent at least two brain MRI examinations (subgroup), the first and last available examinations were analyzed. Regions of interests were placed around deep gray structures on quantitative susceptibility mapping and R2* images. Mean susceptibility and R2* values of regions of interests were recorded. Measurements were assessed by linear regression analyses: a between-group comparison of ferumoxytol-exposed and unexposed participants and a within-group (subgroup) comparison before and after exposure. Results Seventeen participants (mean age ± standard deviation, 13 years ± 5; nine male) were in the ferumoxytol-exposed (case) group, 21 (mean age, 14 years ± 5; 11 male) were in the control group, and nine (mean age, 12 years ± 6; four male) were in the subgroup. The mean number of ferumoxytol administrations was 2 ± 1 (range, one to four). Mean susceptibility (in parts per million [ppm]) and R2* (in inverse seconds [sec-1]) values of the dentate (case participants: 0.06 ppm ± 0.04 and 23.87 sec-1 ± 4.13; control participants: 0.02 ppm ± 0.03 and 21.7 sec-1 ± 5.26), substantia nigrae (case participants: 0.08 ppm ± 0.06 and 27.46 sec-1 ± 5.58; control participants: 0.04 ppm ± 0.05 and 24.96 sec-1 ± 5.3), globus pallidi (case participants: 0.14 ppm ± 0.05 and 30.75 sec-1 ± 5.14; control participants: 0.08 ppm ± 0.07 and 28.82 sec-1 ± 6.62), putamina (case participants: 0.03 ppm ± 0.02 and 20.63 sec-1 ± 2.44; control participants: 0.02 ppm ± 0.02 and 19.65 sec-1 ± 3.6), caudate (case participants: -0.1 ppm ± 0.04 and 18.21 sec-1 ± 3.1; control participants: -0.06 ppm ± 0.05 and 18.83 sec-1 ± 3.32), and thalami (case participants: 0 ppm ± 0.03 and 16.49 sec-1 ± 3.6; control participants: 0.02 ppm ± 0.02 and 18.38 sec-1 ± 2.09) did not differ between groups (susceptibility, P = .21; R2*, P = .24). For the subgroup, the mean interval between the first and last ferumoxytol administration was 14 months ± 8 (range, 1-25 months). Mean susceptibility and R2* values of the dentate (first MRI: 0.06 ppm ± 0.05 and 25.78 sec-1 ± 5.9; last MRI: 0.06 ppm ± 0.02 and 25.55 sec-1 ± 4.71), substantia nigrae (first MRI: 0.06 ppm ± 0.06 and 28.26 sec-1 ± 9.56; last MRI: 0.07 ppm ± 0.06 and 25.65 sec-1 ± 6.37), globus pallidi (first MRI: 0.13 ppm ± 0.07 and 27.53 sec-1 ± 8.88; last MRI: 0.14 ppm ± 0.06 and 29.78 sec-1 ± 6.54), putamina (first MRI: 0.03 ppm ± 0.03 and 19.78 sec-1 ± 3.51; last MRI: 0.03 ppm ± 0.02 and 19.73 sec-1 ± 3.01), caudate (first MRI: -0.09 ppm ± 0.05 and 21.38 sec-1 ± 4.72; last MRI: -0.1 ppm ± 0.05 and 18.75 sec-1 ± 2.68), and thalami (first MRI: 0.01 ppm ± 0.02 and 17.65 sec-1 ± 5.16; last MRI: 0 ppm ± 0.02 and 15.32 sec-1 ± 2.49) did not differ between the first and last MRI examinations (susceptibility, P = .95; R2*, P = .54). Conclusion No overall significant differences were found in susceptibility and R2* values of deep gray structures to suggest retained iron in the brain between ferumoxytol-exposed and unexposed children and young adults with arteriovenous malformations and in those exposed to ferumoxytol over time. © RSNA, 2020.
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Affiliation(s)
- Michael Iv
- From the Department of Radiology, Division of Neuroimaging and Neurointervention (M.I.), Department of Pathology (J.L.), Department of Radiology, Lucas Center (S.J.H., M.E.M., J.R.), and Department of Neurosurgery, Division of Pediatric Neurosurgery (G.A.G.), Stanford University, Stanford, Calif; Department of Radiology, Pediatric MRI and CT, Division of Pediatric Radiology, Lucile Packard Children's Hospital, Stanford University, 725 Welch Rd, Room G516, Palo Alto, CA 94304 (M.I., N.N.N., S.N., Y.Z., K.W.Y.); and Department of Neurosurgery, Division of Pediatric Neurosurgery, University of Utah School of Medicine, Salt Lake City, UT (S.H.C.). From the 2018 RSNA Annual Meeting
| | - Nathan N Ng
- From the Department of Radiology, Division of Neuroimaging and Neurointervention (M.I.), Department of Pathology (J.L.), Department of Radiology, Lucas Center (S.J.H., M.E.M., J.R.), and Department of Neurosurgery, Division of Pediatric Neurosurgery (G.A.G.), Stanford University, Stanford, Calif; Department of Radiology, Pediatric MRI and CT, Division of Pediatric Radiology, Lucile Packard Children's Hospital, Stanford University, 725 Welch Rd, Room G516, Palo Alto, CA 94304 (M.I., N.N.N., S.N., Y.Z., K.W.Y.); and Department of Neurosurgery, Division of Pediatric Neurosurgery, University of Utah School of Medicine, Salt Lake City, UT (S.H.C.). From the 2018 RSNA Annual Meeting
| | - Sid Nair
- From the Department of Radiology, Division of Neuroimaging and Neurointervention (M.I.), Department of Pathology (J.L.), Department of Radiology, Lucas Center (S.J.H., M.E.M., J.R.), and Department of Neurosurgery, Division of Pediatric Neurosurgery (G.A.G.), Stanford University, Stanford, Calif; Department of Radiology, Pediatric MRI and CT, Division of Pediatric Radiology, Lucile Packard Children's Hospital, Stanford University, 725 Welch Rd, Room G516, Palo Alto, CA 94304 (M.I., N.N.N., S.N., Y.Z., K.W.Y.); and Department of Neurosurgery, Division of Pediatric Neurosurgery, University of Utah School of Medicine, Salt Lake City, UT (S.H.C.). From the 2018 RSNA Annual Meeting
| | - Yi Zhang
- From the Department of Radiology, Division of Neuroimaging and Neurointervention (M.I.), Department of Pathology (J.L.), Department of Radiology, Lucas Center (S.J.H., M.E.M., J.R.), and Department of Neurosurgery, Division of Pediatric Neurosurgery (G.A.G.), Stanford University, Stanford, Calif; Department of Radiology, Pediatric MRI and CT, Division of Pediatric Radiology, Lucile Packard Children's Hospital, Stanford University, 725 Welch Rd, Room G516, Palo Alto, CA 94304 (M.I., N.N.N., S.N., Y.Z., K.W.Y.); and Department of Neurosurgery, Division of Pediatric Neurosurgery, University of Utah School of Medicine, Salt Lake City, UT (S.H.C.). From the 2018 RSNA Annual Meeting
| | - Jonathan Lavezo
- From the Department of Radiology, Division of Neuroimaging and Neurointervention (M.I.), Department of Pathology (J.L.), Department of Radiology, Lucas Center (S.J.H., M.E.M., J.R.), and Department of Neurosurgery, Division of Pediatric Neurosurgery (G.A.G.), Stanford University, Stanford, Calif; Department of Radiology, Pediatric MRI and CT, Division of Pediatric Radiology, Lucile Packard Children's Hospital, Stanford University, 725 Welch Rd, Room G516, Palo Alto, CA 94304 (M.I., N.N.N., S.N., Y.Z., K.W.Y.); and Department of Neurosurgery, Division of Pediatric Neurosurgery, University of Utah School of Medicine, Salt Lake City, UT (S.H.C.). From the 2018 RSNA Annual Meeting
| | - Samuel H Cheshier
- From the Department of Radiology, Division of Neuroimaging and Neurointervention (M.I.), Department of Pathology (J.L.), Department of Radiology, Lucas Center (S.J.H., M.E.M., J.R.), and Department of Neurosurgery, Division of Pediatric Neurosurgery (G.A.G.), Stanford University, Stanford, Calif; Department of Radiology, Pediatric MRI and CT, Division of Pediatric Radiology, Lucile Packard Children's Hospital, Stanford University, 725 Welch Rd, Room G516, Palo Alto, CA 94304 (M.I., N.N.N., S.N., Y.Z., K.W.Y.); and Department of Neurosurgery, Division of Pediatric Neurosurgery, University of Utah School of Medicine, Salt Lake City, UT (S.H.C.). From the 2018 RSNA Annual Meeting
| | - Samantha J Holdsworth
- From the Department of Radiology, Division of Neuroimaging and Neurointervention (M.I.), Department of Pathology (J.L.), Department of Radiology, Lucas Center (S.J.H., M.E.M., J.R.), and Department of Neurosurgery, Division of Pediatric Neurosurgery (G.A.G.), Stanford University, Stanford, Calif; Department of Radiology, Pediatric MRI and CT, Division of Pediatric Radiology, Lucile Packard Children's Hospital, Stanford University, 725 Welch Rd, Room G516, Palo Alto, CA 94304 (M.I., N.N.N., S.N., Y.Z., K.W.Y.); and Department of Neurosurgery, Division of Pediatric Neurosurgery, University of Utah School of Medicine, Salt Lake City, UT (S.H.C.). From the 2018 RSNA Annual Meeting
| | - Michael E Moseley
- From the Department of Radiology, Division of Neuroimaging and Neurointervention (M.I.), Department of Pathology (J.L.), Department of Radiology, Lucas Center (S.J.H., M.E.M., J.R.), and Department of Neurosurgery, Division of Pediatric Neurosurgery (G.A.G.), Stanford University, Stanford, Calif; Department of Radiology, Pediatric MRI and CT, Division of Pediatric Radiology, Lucile Packard Children's Hospital, Stanford University, 725 Welch Rd, Room G516, Palo Alto, CA 94304 (M.I., N.N.N., S.N., Y.Z., K.W.Y.); and Department of Neurosurgery, Division of Pediatric Neurosurgery, University of Utah School of Medicine, Salt Lake City, UT (S.H.C.). From the 2018 RSNA Annual Meeting
| | - Jarrett Rosenberg
- From the Department of Radiology, Division of Neuroimaging and Neurointervention (M.I.), Department of Pathology (J.L.), Department of Radiology, Lucas Center (S.J.H., M.E.M., J.R.), and Department of Neurosurgery, Division of Pediatric Neurosurgery (G.A.G.), Stanford University, Stanford, Calif; Department of Radiology, Pediatric MRI and CT, Division of Pediatric Radiology, Lucile Packard Children's Hospital, Stanford University, 725 Welch Rd, Room G516, Palo Alto, CA 94304 (M.I., N.N.N., S.N., Y.Z., K.W.Y.); and Department of Neurosurgery, Division of Pediatric Neurosurgery, University of Utah School of Medicine, Salt Lake City, UT (S.H.C.). From the 2018 RSNA Annual Meeting
| | - Gerald A Grant
- From the Department of Radiology, Division of Neuroimaging and Neurointervention (M.I.), Department of Pathology (J.L.), Department of Radiology, Lucas Center (S.J.H., M.E.M., J.R.), and Department of Neurosurgery, Division of Pediatric Neurosurgery (G.A.G.), Stanford University, Stanford, Calif; Department of Radiology, Pediatric MRI and CT, Division of Pediatric Radiology, Lucile Packard Children's Hospital, Stanford University, 725 Welch Rd, Room G516, Palo Alto, CA 94304 (M.I., N.N.N., S.N., Y.Z., K.W.Y.); and Department of Neurosurgery, Division of Pediatric Neurosurgery, University of Utah School of Medicine, Salt Lake City, UT (S.H.C.). From the 2018 RSNA Annual Meeting
| | - Kristen W Yeom
- From the Department of Radiology, Division of Neuroimaging and Neurointervention (M.I.), Department of Pathology (J.L.), Department of Radiology, Lucas Center (S.J.H., M.E.M., J.R.), and Department of Neurosurgery, Division of Pediatric Neurosurgery (G.A.G.), Stanford University, Stanford, Calif; Department of Radiology, Pediatric MRI and CT, Division of Pediatric Radiology, Lucile Packard Children's Hospital, Stanford University, 725 Welch Rd, Room G516, Palo Alto, CA 94304 (M.I., N.N.N., S.N., Y.Z., K.W.Y.); and Department of Neurosurgery, Division of Pediatric Neurosurgery, University of Utah School of Medicine, Salt Lake City, UT (S.H.C.). From the 2018 RSNA Annual Meeting
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Maturation of the human striatal dopamine system revealed by PET and quantitative MRI. Nat Commun 2020; 11:846. [PMID: 32051403 PMCID: PMC7015913 DOI: 10.1038/s41467-020-14693-3] [Citation(s) in RCA: 51] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2019] [Accepted: 01/28/2020] [Indexed: 01/18/2023] Open
Abstract
The development of the striatum dopamine (DA) system through human adolescence, a time of increased sensation seeking and vulnerability to the emergence of psychopathology, has been difficult to study due to pediatric restrictions on direct in vivo assessments of DA. Here, we applied neuroimaging in a longitudinal sample of n = 146 participants aged 12–30. R2′, an MR measure of tissue iron which co-localizes with DA vesicles and is necessary for DA synthesis, was assessed across the sample. In the 18–30 year-olds (n = 79) we also performed PET using [11C]dihydrotetrabenazine (DTBZ), a measure of presynaptic vesicular DA storage, and [11C]raclopride (RAC), an indicator of D2/D3 receptor availability. We observed decreases in D2/D3 receptor availability with age, while presynaptic vesicular DA storage (as measured by DTBZ), which was significantly associated with R2′ (standardized coefficient = 0.29, 95% CI = [0.11, 0.48]), was developmentally stable by age 18. Our results provide new evidence for maturational specialization of the striatal DA system through adolescence. How the human dopamine system changes during adolescence is still unclear. Here, the authors combine PET and quantitative MRI measures to show that dopamine D2/D3 receptor availability decreases with age while presynaptic dopamine vesicular storage was developmentally stable by age 18
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Longitudinal Development of Brain Iron Is Linked to Cognition in Youth. J Neurosci 2020; 40:1810-1818. [PMID: 31988059 DOI: 10.1523/jneurosci.2434-19.2020] [Citation(s) in RCA: 43] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2019] [Revised: 12/19/2019] [Accepted: 01/04/2020] [Indexed: 11/21/2022] Open
Abstract
Brain iron is vital to multiple aspects of brain function, including oxidative metabolism, myelination, and neurotransmitter synthesis. Atypical iron concentration in the basal ganglia is associated with neurodegenerative disorders in aging and cognitive deficits. However, the normative development of brain iron concentration in adolescence and its relationship to cognition are less well understood. Here, we address this gap in a longitudinal sample of 922 humans aged 8-26 years at the first visit (M = 15.1, SD = 3.72; 336 males, 486 females) with up to four multiecho T2* scans each. Using this sample of 1236 imaging sessions, we assessed the longitudinal developmental trajectories of tissue iron in the basal ganglia. We quantified tissue iron concentration using R2* relaxometry within four basal ganglia regions, including the caudate, putamen, nucleus accumbens, and globus pallidus. The longitudinal development of R2* was modeled using generalized additive mixed models (GAMMs) with splines to capture linear and nonlinear developmental processes. We observed significant increases in R2* across all regions, with the greatest and most prolonged increases occurring in the globus pallidus and putamen. Further, we found that the developmental trajectory of R2* in the putamen is significantly related to individual differences in cognitive ability, such that greater cognitive ability is increasingly associated with greater iron concentration through late adolescence and young-adulthood. Together, our results suggest a prolonged period of basal ganglia iron enrichment that extends into the mid-twenties, with diminished iron concentration associated with poorer cognitive ability during late adolescence.SIGNIFICANCE STATEMENT Brain tissue iron is essential to healthy brain function. Atypical basal ganglia tissue iron levels have been linked to impaired cognition in iron deficient children and adults with neurodegenerative disorders. However, the normative developmental trajectory of basal ganglia iron concentration during adolescence and its association with cognition are less well understood. In the largest study of tissue iron development yet reported, we characterize the developmental trajectory of tissue iron concentration across the basal ganglia during adolescence and provide evidence that diminished iron content is associated with poorer cognitive performance even in healthy youth. These results highlight the transition from adolescence to adulthood as a period of dynamic maturation of tissue iron concentration in the basal ganglia.
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28
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Functional coherence of striatal resting-state networks is modulated by striatal iron content. Neuroimage 2018; 183:495-503. [DOI: 10.1016/j.neuroimage.2018.08.036] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2018] [Revised: 08/14/2018] [Accepted: 08/16/2018] [Indexed: 01/03/2023] Open
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