Effect of corticosubcortical iron deposition on dysfunction in CADASIL is mediated by white matter microstructural damage

NeuroImage: Clinical - Tập 39 - Trang 103485 - 2023
Xiuqin Jia1,2, Yingying Li1, Yunqing Ying3, Xuejia Jia1, Weijun Tang4, Yueyan Bian1, Jiajia Zhang1, Danny J.J. Wang5, Xin Cheng3, Qi Yang1,2
1Department of Radiology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, 100020, China
2Key Lab of Medical Engineering for Cardiovascular Disease, Ministry of Education, Beijing 100020, China
3Department of Neurology, National Center for Neurological Disorders, National Clinical Research Centre for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai 200040, China
4Department of Radiology, Huashan Hospital, Fudan University, Shanghai 200040, China
5Laboratory of FMRI Technology (LOFT), USC Mark & Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA 90007, United States

Tài liệu tham khảo

Abdul-Rahman, 2005, Fast three-dimensional phase-unwrapping algorithm based on sorting by reliability following a non-continuous path. Optical measurement systems for industrial inspection IV, SPIE, 5856, 32 Abraham, 2016, Cardiovascular risk factors and small vessel disease of the brain: blood pressure, white matter lesions, and functional decline in older persons, J. Cereb. Blood Flow Metab., 36, 132, 10.1038/jcbfm.2015.121 Alexander, 1986, Parallel organization of functionally segregated circuits linking basal ganglia and cortex, Annu. Rev. Neurosci., 9, 357, 10.1146/annurev.ne.09.030186.002041 Andrade, 2021, Z Scores, Standard Scores, and Composite Test Scores Explained, Indian J. Psychol. Med., 43, 555, 10.1177/02537176211046525 Anticevic, 2010, When less is more: TPJ and default network deactivation during encoding predicts working memory performance, Neuroimage, 49, 2638, 10.1016/j.neuroimage.2009.11.008 Bao, 2016, Quantitative Susceptibility Mapping Using Structural Feature Based Collaborative Reconstruction (SFCR) in the Human Brain, IEEE Trans. Med. Imaging, 35, 2040, 10.1109/TMI.2016.2544958 Bao, 2021, Diffusion-regularized susceptibility tensor imaging (DRSTI) of tissue microstructures in the human brain, Med. Image Anal., 67, 10.1016/j.media.2020.101827 Baykara, 2016, A novel imaging marker for small vessel disease based on skeletonization of white matter tracts and diffusion histograms, Ann. Neurol., 80, 581, 10.1002/ana.24758 Bergsland, 2017, White matter tract injury is associated with deep gray matter iron deposition in multiple sclerosis, J. Neuroimaging, 27, 107, 10.1111/jon.12364 Bilgic, 2012, MRI estimates of brain iron concentration in normal aging using quantitative susceptibility mapping, NeuroImaging, 59, 2625, 10.1016/j.neuroimage.2011.08.077 Buffon, 2006, Cognitive profile in CADASIL, J. Neurol. Neurosurg. Psychiatry, 77, 175, 10.1136/jnnp.2005.068726 Cavanna, 2006, The precuneus: a review of its functional anatomy and behavioural correlates, Brain, 129, 564, 10.1093/brain/awl004 Caviness, 2007, Defining mild cognitive impairment in Parkinson’s disease, Mov. Disord., 22, 1272, 10.1002/mds.21453 Chabriat, 2009, CADASIL, Lancent. Neurol., 8, 643, 10.1016/S1474-4422(09)70127-9 Dziewulska, 2012, Pericytes as a new target for pathological processes in CADASIL, Neuropathology, 32, 515, 10.1111/j.1440-1789.2011.01290.x Faraco, 2013, Lateral temporal hyper-activation as a novel biomarker of mild cognitive impairment, Neuropsychologia, 51, 2281, 10.1016/j.neuropsychologia.2013.07.023 Gaasch, 2007, Brain iron toxicity: differential responses of astrocytes, neurons, and endothelial cells, Neurochem. Res., 32, 1196, 10.1007/s11064-007-9290-4 Gebril, 2011, Brain iron dysregulation and the risk of ageing white matter lesions, NeuroMol. Med., 13, 289, 10.1007/s12017-011-8161-y Gouw, 2011, Heterogeneity of small vessel disease: a systematic review of MRI and histopathology correlations, J. Neurol. Neurosurg. Psychiatry, 82, 126, 10.1136/jnnp.2009.204685 Haacke, 2005, Imaging iron stores in the brain using magnetic resonance imaging, Magn. Reson. Imaging, 23, 1, 10.1016/j.mri.2004.10.001 Hametner, 2018, The influence of brain iron and myelin on magnetic susceptibility and effective transverse relaxation–a biochemical and histological validation study, Neuroimage, 179, 117, 10.1016/j.neuroimage.2018.06.007 Hayes, 2012 Hong, 2023, White Matter Tract Injury by MRI in CADASIL Patients is Associated With Iron Accumulation, J. Magn. Reson. Imaging, 57, 238, 10.1002/jmri.28301 Kalimo, 2002, CADASIL: a common form of hereditary arteriopathy causing brain infarcts and dementia, Brain Pathol., 12, 371, 10.1111/j.1750-3639.2002.tb00451.x Langkammer, 2012, Quantitative susceptibility mapping (QSM) as a means to measure brain iron? A post mortem validation study, NeuroImage, 62, 1593, 10.1016/j.neuroimage.2012.05.049 Li., Y., Ying, Y., Yao, T., et al., 2023. Decreased water exchange rate across blood-brain barrier in hereditary cerebral small vessel disease. Brain. (doi:10.1093/brain/awac500/6982739). Li, 2021, Iron content in deep gray matter as a function of age using quantitative susceptibility mapping: A multicenter study, Front. Neurosci., 14, 10.3389/fnins.2020.607705 Liem, 2012, 7T MRI reveals diffuse iron deposition in putamen and caudate nucleus in CADASIL, J. Neurol. Neurosurg. Psychiatry, 83, 1180, 10.1136/jnnp-2012-302545 Liu, 2011, A novel background field removal method for MRI using projection onto dipole fields (PDF), NMR Biomed., 24, 1129, 10.1002/nbm.1670 Liu, 2011, Morphology enabled dipole inversion (MEDI) from a single-angle acquisition: comparison with COSMOS in human brain imaging, Magn. Reson. Med., 66, 777, 10.1002/mrm.22816 Liu, 2012, Morphology enabled dipole inversion for quantitative susceptibility mapping using structural consistency between the magnitude image and the susceptibility map, Neuroimage, 59, 2560, 10.1016/j.neuroimage.2011.08.082 Martinez-Ramirez, 2014, Cerebral microbleeds: overview and implications in cognitive impairment, Alzheimers Res. Ther., 6, 33, 10.1186/alzrt263 Mayda, 2011, Late life cognitive control deficits are accentuated by white matter disease burden, Brain, 134, 1673, 10.1093/brain/awr065 METACOHORTS Consortium, 2016. METACOHORTS for the study of vascular disease and its contribution to cognitive decline and neurodegeneration: an initiative of the Joint Programme for Neurodegenerative Disease Research. Alzheim. Dem. 12, 1235–1249. Milton, 1991, Deep gray matter hypointensity patterns with aging in healthy adults: MR imaging at 1.5 T, Radiology, 181, 715, 10.1148/radiology.181.3.1947087 Montagne, 2015, Blood-brain barrier breakdown in the aging human hippocampus, Neuron, 85, 296, 10.1016/j.neuron.2014.12.032 Piñero, 2000, Iron in the brain: An important contributor in normal and diseased states, Neuroscientist, 6, 435, 10.1177/107385840000600607 Rodriguez-Oroz, 2009, Initial clinical manifestations of Parkinson’s disease: features and pathophysiological mechanisms, Lancet Neurol., 8, 1128, 10.1016/S1474-4422(09)70293-5 Singh, 2014, Brain iron homeostasis: from molecular mechanisms to clinical significance and therapeutic opportunities, Antioxid. Redox Signal., 20, 1324, 10.1089/ars.2012.4931 Staals, 2014, Stroke subtype, vascular risk factors, and total MRI brain small-vessel disease burden, Neurology, 83, 1228, 10.1212/WNL.0000000000000837 Sun, 2020, Deep gray matter iron deposition and its relationship to clinical features in cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy patients: A 7.0-T magnetic resonance imaging study, Stroke, 51, 1750, 10.1161/STROKEAHA.119.028812 Tanglay, 2022, Anatomy and white-matter connections of the precuneus, Brain Imaging Behav., 16, 574, 10.1007/s11682-021-00529-1 Thomas, 2020, Brain iron deposition is linked with cognitive severity in Parkinson’s disease, J. Neurol. Neurosurg. Psychiatry, 91, 418, 10.1136/jnnp-2019-322042 Uchida, 2020, Iron leakage owing to blood-brain barrier disruption in small vessel disease CADASIL, Neurology, 95, e1188, 10.1212/WNL.0000000000010148 Wardlaw, 2013, Neuroimaging standards for research into small vessel disease and its contribution to ageing and neurodegeneration, Lancet Neurol., 12, 822, 10.1016/S1474-4422(13)70124-8 Yamamoto, 2009, Neuropathological correlates of temporal pole white matter hyperintensities in CADASIL, Stroke, 40, 2004, 10.1161/STROKEAHA.108.528299 Zhang, 2017, Blood-brain barrier leakage is more widespread in patients with cerebral small vessel disease, Neurology, 88, 426, 10.1212/WNL.0000000000003556 Zhou, 2020, Dysfunction of the Glymphatic System Might Be Related to Iron Deposition in the Normal Aging Brain, Front. Aging Neurosci., 12, 10.3389/fnagi.2020.559603