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Targeting Iron Dyshomeostasis for Treatment of Neurodegenerative Disorders

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Abstract

While iron has an important role in the normal functioning of the brain owing to its involvement in several physiological processes, dyshomeostasis has been found in many neurodegenerative disorders, as evidenced by both histopathological and imaging studies. Although the exact causes have remained elusive, the fact that altered iron levels have been found in disparate diseases suggests that iron may contribute to their development and/or progression. As such, the processes involved in iron dyshomeostasis may represent novel therapeutic targets. There are, however, many questions about the exact interplay between neurodegeneration and altered iron homeostasis. Some insight can be gained by considering the parallels with respect to what occurs in healthy aging, which is also characterized by increased iron throughout many regions in the brain along with progressive neurodegeneration. Nevertheless, the exact mechanisms of iron-mediated damage are likely disease specific to a certain degree, given that iron plays a crucial role in many disparate biological processes, which are not always affected in the same way across different neurodegenerative disorders. Moreover, it is not even entirely clear yet whether iron actually has a causative role in all of the diseases where altered iron levels have been noted. For example, there is strong evidence of iron dyshomeostasis leading to neurodegeneration in Parkinson’s disease, but there is still some question as to whether changes in iron levels are merely an epiphenomenon in multiple sclerosis. Recent advances in neuroimaging now offer the possibility to detect and monitor iron levels in vivo, which allows for an improved understanding of both the temporal and spatial dynamics of iron changes and associated neurodegeneration compared to post-mortem studies. In this regard, iron-based imaging will likely play an important role in the development of therapeutic approaches aimed at addressing altered iron dynamics in neurodegenerative diseases. Currently, the bulk of such therapies have focused on chelating excess iron. Although there is some evidence that these treatment options may yield some benefit, they are not without their own limitations. They are generally effective at reducing brain iron levels, as assessed by imaging, but clinical benefits are more modest. New drugs that specifically target iron-related pathological processes may offer the possibility to prevent, or at the least, slow down irreversible neurodegeneration, which represents an unmet therapeutic target.

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References

  1. Masaldan S, Bush AI, Devos D, Rolland AS, Moreau C. Striking while the iron is hot: iron metabolism and ferroptosis in neurodegeneration. Free Radic Biol Med. 2019;133:221–33. https://doi.org/10.1016/j.freeradbiomed.2018.09.033.

    Article  CAS  PubMed  Google Scholar 

  2. Nnah IC, Wessling-Resnick M. Brain iron homeostasis: a focus on microglial iron. Pharmaceuticals (Basel). 2018;11(4):E129. https://doi.org/10.3390/ph11040129.

    Article  CAS  Google Scholar 

  3. Hagemeier J, Geurts JJ, Zivadinov R. Brain iron accumulation in aging and neurodegenerative disorders. Expert Rev Neurother. 2012;12(12):1467–80. https://doi.org/10.1586/ern.12.128.

    Article  CAS  PubMed  Google Scholar 

  4. Atamna H, Frey WH 2nd. A role for heme in Alzheimer’s disease: heme binds amyloid beta and has altered metabolism. Proc Natl Acad Sci USA. 2004;101(30):11153–8. https://doi.org/10.1073/pnas.0404349101.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  5. Zucca FA, Segura-Aguilar J, Ferrari E, Munoz P, Paris I, Sulzer D, et al. Interactions of iron, dopamine and neuromelanin pathways in brain aging and Parkinson’s disease. Prog Neurobiol. 2017;155:96–119. https://doi.org/10.1016/j.pneurobio.2015.09.012.

    Article  CAS  PubMed  Google Scholar 

  6. Zivadinov R, Heininen-Brown M, Schirda CV, Poloni GU, Bergsland N, Magnano CR, et al. Abnormal subcortical deep-gray matter susceptibility-weighted imaging filtered phase measurements in patients with multiple sclerosis: a case–control study. Neuroimage. 2012;59(1):331–9. https://doi.org/10.1016/j.neuroimage.2011.07.045.

    Article  PubMed  Google Scholar 

  7. Levi S, Tiranti V. Neurodegeneration with brain iron accumulation disorders: valuable models aimed at understanding the pathogenesis of iron deposition. Pharmaceuticals (Basel). 2019;12(1):E27. https://doi.org/10.3390/ph12010027.

    Article  CAS  Google Scholar 

  8. Haacke EM, Liu S, Buch S, Zheng W, Wu D, Ye Y. Quantitative susceptibility mapping: current status and future directions. Magn Reson Imaging. 2015;33(1):1–25. https://doi.org/10.1016/j.mri.2014.09.004.

    Article  PubMed  Google Scholar 

  9. Schweser F, Deistung A, Lehr BW, Reichenbach JR. Quantitative imaging of intrinsic magnetic tissue properties using MRI signal phase: an approach to in vivo brain iron metabolism? Neuroimage. 2011;54(4):2789–807. https://doi.org/10.1016/j.neuroimage.2010.10.070.

    Article  PubMed  Google Scholar 

  10. Wang Y, Spincemaille P, Liu Z, Dimov A, Deh K, Li J, et al. Clinical quantitative susceptibility mapping (QSM): Biometal imaging and its emerging roles in patient care. J Magn Reson Imaging. 2017;46(4):951–71. https://doi.org/10.1002/jmri.25693.

    Article  PubMed  PubMed Central  Google Scholar 

  11. Du G, Lewis MM, Sica C, He L, Connor JR, Kong L, et al. Distinct progression pattern of susceptibility MRI in the substantia nigra of Parkinson’s patients. Mov Disord. 2018;33(9):1423–31. https://doi.org/10.1002/mds.27318.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Zivadinov R, Tavazzi E, Bergsland N, Hagemeier J, Lin F, Dwyer MG, et al. Brain iron at quantitative MRI is associated with disability in multiple sclerosis. Radiology. 2018;289(2):487–96. https://doi.org/10.1148/radiol.2018180136.

    Article  PubMed  Google Scholar 

  13. Ayton S, Wang Y, Diouf I, Schneider JA, Brockman J, Morris MC, et al. Brain iron is associated with accelerated cognitive decline in people with Alzheimer pathology. Mol Psychiatry. 2019. https://doi.org/10.1038/s41380-019-0375-7.

    Article  PubMed  PubMed Central  Google Scholar 

  14. Nunez MT, Chana-Cuevas P. New perspectives in iron chelation therapy for the treatment of neurodegenerative diseases. Pharmaceuticals (Basel). 2018;11(4):E109. https://doi.org/10.3390/ph11040109.

    Article  CAS  Google Scholar 

  15. Dusek P, Schneider SA, Aaseth J. Iron chelation in the treatment of neurodegenerative diseases. J Trace Elem Med Biol. 2016;38:81–92. https://doi.org/10.1016/j.jtemb.2016.03.010.

    Article  CAS  PubMed  Google Scholar 

  16. Lobel U, Schweser F, Nickel M, Deistung A, Grosse R, Hagel C, et al. Brain iron quantification by MRI in mitochondrial membrane protein-associated neurodegeneration under iron-chelating therapy. Ann Clin Transl Neurol. 2014;1(12):1041–6. https://doi.org/10.1002/acn3.116.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  17. Leitner DF, Connor JR. Functional roles of transferrin in the brain. Biochim Biophys Acta. 2012;1820(3):393–402. https://doi.org/10.1016/j.bbagen.2011.10.016.

    Article  CAS  PubMed  Google Scholar 

  18. Chiou B, Neal EH, Bowman AB, Lippmann ES, Simpson IA, Connor JR. Endothelial cells are critical regulators of iron transport in a model of the human blood-brain barrier. J Cereb Blood Flow Metab. 2018. https://doi.org/10.1177/0271678x18783372.

    Article  PubMed  PubMed Central  Google Scholar 

  19. Chiou B, Connor JR. Emerging and dynamic biomedical uses of ferritin. Pharmaceuticals (Basel). 2018;11(4):E124. https://doi.org/10.3390/ph11040124.

    Article  CAS  Google Scholar 

  20. Singh N, Haldar S, Tripathi AK, Horback K, Wong J, Sharma D, et al. Brain iron homeostasis: from molecular mechanisms to clinical significance and therapeutic opportunities. Antioxid Redox Signal. 2014;20(8):1324–63. https://doi.org/10.1089/ars.2012.4931.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  21. Lane DJ, Merlot AM, Huang ML, Bae DH, Jansson PJ, Sahni S, et al. Cellular iron uptake, trafficking and metabolism: key molecules and mechanisms and their roles in disease. Biochim Biophys Acta. 2015;1853(5):1130–44. https://doi.org/10.1016/j.bbamcr.2015.01.021.

    Article  CAS  PubMed  Google Scholar 

  22. Carocci A, Catalano A, Sinicropi MS, Genchi G. Oxidative stress and neurodegeneration: the involvement of iron. Biometals. 2018;31(5):715–35. https://doi.org/10.1007/s10534-018-0126-2.

    Article  CAS  PubMed  Google Scholar 

  23. Horowitz MP, Greenamyre JT. Mitochondrial iron metabolism and its role in neurodegeneration. J Alzheimers Dis. 2010;20(Suppl. 2):S551–68. https://doi.org/10.3233/JAD-2010-100354.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  24. Zhang C. Essential functions of iron-requiring proteins in DNA replication, repair and cell cycle control. Protein Cell. 2014;5(10):750–60. https://doi.org/10.1007/s13238-014-0083-7.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  25. Reinert A, Morawski M, Seeger J, Arendt T, Reinert T. Iron concentrations in neurons and glial cells with estimates on ferritin concentrations. BMC Neurosci. 2019;20(1):25. https://doi.org/10.1186/s12868-019-0507-7.

    Article  PubMed  PubMed Central  Google Scholar 

  26. Ndayisaba A, Kaindlstorfer C, Wenning GK. Iron in neurodegeneration: cause or consequence? Front Neurosci. 2019;13:180. https://doi.org/10.3389/fnins.2019.00180.

    Article  PubMed  PubMed Central  Google Scholar 

  27. Farrall AJ, Wardlaw JM. Blood-brain barrier: ageing and microvascular disease: systematic review and meta-analysis. Neurobiol Aging. 2009;30(3):337–52. https://doi.org/10.1016/j.neurobiolaging.2007.07.015.

    Article  CAS  PubMed  Google Scholar 

  28. Lopes Pinheiro MA, Kooij G, Mizee MR, Kamermans A, Enzmann G, Lyck R, et al. Immune cell trafficking across the barriers of the central nervous system in multiple sclerosis and stroke. Biochim Biophys Acta. 2016;1862(3):461–71. https://doi.org/10.1016/j.bbadis.2015.10.018.

    Article  CAS  PubMed  Google Scholar 

  29. Conde JR, Streit WJ. Microglia in the aging brain. J Neuropathol Exp Neurol. 2006;65(3):199–203. https://doi.org/10.1097/01.jnen.0000202887.22082.63.

    Article  PubMed  Google Scholar 

  30. Ward RJ, Zucca FA, Duyn JH, Crichton RR, Zecca L. The role of iron in brain ageing and neurodegenerative disorders. Lancet Neurol. 2014;13(10):1045–60. https://doi.org/10.1016/S1474-4422(14)70117-6.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  31. Sfera A, Bullock K, Price A, Inderias L, Osorio C. Ferrosenescence: the iron age of neurodegeneration? Mech Ageing Dev. 2018;174:63–75. https://doi.org/10.1016/j.mad.2017.11.012.

    Article  CAS  PubMed  Google Scholar 

  32. Vanni S, Colini Baldeschi A, Zattoni M, Legname G. Brain aging: a Ianus-faced player between health and neurodegeneration. J Neurosci Res. 2019. https://doi.org/10.1002/jnr.24379.

    Article  PubMed  Google Scholar 

  33. Gozzelino R. The pathophysiology of heme in the brain. Curr Alzheimer Res. 2016;13(2):174–84.

    Article  CAS  PubMed  Google Scholar 

  34. Hallgren B, Sourander P. The effect of age on the non-haemin iron in the human brain. J Neurochem. 1958;3(1):41–51.

    Article  CAS  PubMed  Google Scholar 

  35. Bartzokis G, Beckson M, Hance DB, Marx P, Foster JA, Marder SR. MR evaluation of age-related increase of brain iron in young adult and older normal males. Magn Reson Imaging. 1997;15(1):29–35.

    Article  CAS  PubMed  Google Scholar 

  36. Connor JR, Menzies SL, St Martin SM, Mufson EJ. Cellular distribution of transferrin, ferritin, and iron in normal and aged human brains. J Neurosci Res. 1990;27(4):595–611. https://doi.org/10.1002/jnr.490270421.

    Article  CAS  PubMed  Google Scholar 

  37. Zecca L, Stroppolo A, Gatti A, Tampellini D, Toscani M, Gallorini M, et al. The role of iron and copper molecules in the neuronal vulnerability of locus coeruleus and substantia nigra during aging. Proc Natl Acad Sci USA. 2004;101(26):9843–8. https://doi.org/10.1073/pnas.0403495101.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  38. Wyss-Coray T. Ageing, neurodegeneration and brain rejuvenation. Nature. 2016;539(7628):180–6. https://doi.org/10.1038/nature20411.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  39. Elobeid A, Libard S, Leino M, Popova SN, Alafuzoff I. Altered proteins in the aging brain. J Neuropathol Exp Neurol. 2016;75(4):316–25. https://doi.org/10.1093/jnen/nlw002.

    Article  PubMed  PubMed Central  Google Scholar 

  40. Bresgen N, Eckl PM. Oxidative stress and the homeodynamics of iron metabolism. Biomolecules. 2015;5(2):808–47. https://doi.org/10.3390/biom5020808.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  41. Sindrilaru A, Peters T, Wieschalka S, Baican C, Baican A, Peter H, et al. An unrestrained proinflammatory M1 macrophage population induced by iron impairs wound healing in humans and mice. J Clin Investig. 2011;121(3):985–97. https://doi.org/10.1172/JCI44490.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  42. Everett J, Cespedes E, Shelford LR, Exley C, Collingwood JF, Dobson J, et al. Ferrous iron formation following the co-aggregation of ferric iron and the Alzheimer’s disease peptide beta-amyloid (1–42). J R Soc Interface. 2014;11(95):20140165. https://doi.org/10.1098/rsif.2014.0165.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  43. Yamamoto A, Shin RW, Hasegawa K, Naiki H, Sato H, Yoshimasu F, et al. Iron (III) induces aggregation of hyperphosphorylated tau and its reduction to iron (II) reverses the aggregation: implications in the formation of neurofibrillary tangles of Alzheimer’s disease. J Neurochem. 2002;82(5):1137–47. https://doi.org/10.1046/j.1471-4159.2002.t01-1-01061.x.

    Article  CAS  PubMed  Google Scholar 

  44. Sofic E, Riederer P, Heinsen H, Beckmann H, Reynolds GP, Hebenstreit G, et al. Increased iron (III) and total iron content in post mortem substantia nigra of parkinsonian brain. J Neural Transm. 1988;74(3):199–205.

    Article  CAS  PubMed  Google Scholar 

  45. Connor JR, Menzies SL, St Martin SM, Mufson EJ. A histochemical study of iron, transferrin, and ferritin in Alzheimer’s diseased brains. J Neurosci Res. 1992;31(1):75–83. https://doi.org/10.1002/jnr.490310111.

    Article  CAS  PubMed  Google Scholar 

  46. Jellinger K, Paulus W, Grundke-Iqbal I, Riederer P, Youdim MB. Brain iron and ferritin in Parkinson’s and Alzheimer’s diseases. J Neural Transm Park Dis Dement Sect. 1990;2(4):327–40.

    Article  CAS  PubMed  Google Scholar 

  47. Hentze MW, Caughman SW, Rouault TA, Barriocanal JG, Dancis A, Harford JB, et al. Identification of the iron-responsive element for the translational regulation of human ferritin mRNA. Science. 1987;238(4833):1570–3.

    Article  CAS  PubMed  Google Scholar 

  48. Lane CA, Hardy J, Schott JM. Alzheimer’s disease. Eur J Neurol. 2018;25(1):59–70. https://doi.org/10.1111/ene.13439.

    Article  CAS  PubMed  Google Scholar 

  49. Calderon-Garciduenas AL, Duyckaerts C. Alzheimer disease. Handb Clin Neurol. 2017;145:325–37. https://doi.org/10.1016/B978-0-12-802395-2.00023-7.

    Article  PubMed  Google Scholar 

  50. Bjorklund G, Aaseth J, Dadar M, Chirumbolo S. Molecular targets in Alzheimer’s disease. Mol Neurobiol. 2019. https://doi.org/10.1007/s12035-019-1563-9.

    Article  PubMed  Google Scholar 

  51. McCarthy RC, Park YH, Kosman DJ. sAPP modulates iron efflux from brain microvascular endothelial cells by stabilizing the ferrous iron exporter ferroportin. EMBO Rep. 2014;15(7):809–15. https://doi.org/10.15252/embr.201338064.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  52. Belaidi AA, Gunn AP, Wong BX, Ayton S, Appukuttan AT, Roberts BR, et al. Marked age-related changes in brain iron homeostasis in amyloid protein precursor knockout mice. Neurotherapeutics. 2018;15(4):1055–62. https://doi.org/10.1007/s13311-018-0656-x.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  53. Chuang JY, Lee CW, Shih YH, Yang T, Yu L, Kuo YM. Interactions between amyloid-beta and hemoglobin: implications for amyloid plaque formation in Alzheimer’s disease. PLoS One. 2012;7(3):e33120. https://doi.org/10.1371/journal.pone.0033120.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  54. Wu CW, Liao PC, Yu L, Wang ST, Chen ST, Wu CM, et al. Hemoglobin promotes Abeta oligomer formation and localizes in neurons and amyloid deposits. Neurobiol Dis. 2004;17(3):367–77. https://doi.org/10.1016/j.nbd.2004.08.014.

    Article  CAS  PubMed  Google Scholar 

  55. de la Torre JC. Is Alzheimer’s disease a neurodegenerative or a vascular disorder? Data, dogma, and dialectics. Lancet Neurol. 2004;3(3):184–90. https://doi.org/10.1016/S1474-4422(04)00683-0.

    Article  PubMed  Google Scholar 

  56. Peters DG, Connor JR, Meadowcroft MD. The relationship between iron dyshomeostasis and amyloidogenesis in Alzheimer’s disease: two sides of the same coin. Neurobiol Dis. 2015;81:49–65. https://doi.org/10.1016/j.nbd.2015.08.007.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  57. Hallgren B, Sourander P. The non-haemin iron in the cerebral cortex in Alzheimer’s disease. J Neurochem. 1960;5:307–10.

    Article  CAS  PubMed  Google Scholar 

  58. Ayton S, Fazlollahi A, Bourgeat P, Raniga P, Ng A, Lim YY, et al. Cerebral quantitative susceptibility mapping predicts amyloid-beta-related cognitive decline. Brain. 2017;140(8):2112–9. https://doi.org/10.1093/brain/awx137.

    Article  PubMed  Google Scholar 

  59. Ding B, Chen KM, Ling HW, Sun F, Li X, Wan T, et al. Correlation of iron in the hippocampus with MMSE in patients with Alzheimer’s disease. J Magn Reson Imaging. 2009;29(4):793–8. https://doi.org/10.1002/jmri.21730.

    Article  PubMed  Google Scholar 

  60. Kozlov S, Afonin A, Evsyukov I, Bondarenko A. Alzheimer’s disease: as it was in the beginning. Rev Neurosci. 2017;28(8):825–43. https://doi.org/10.1515/revneuro-2017-0006.

    Article  CAS  PubMed  Google Scholar 

  61. Kaur D, Peng J, Chinta SJ, Rajagopalan S, Di Monte DA, Cherny RA, et al. Increased murine neonatal iron intake results in Parkinson-like neurodegeneration with age. Neurobiol Aging. 2007;28(6):907–13. https://doi.org/10.1016/j.neurobiolaging.2006.04.003.

    Article  CAS  PubMed  Google Scholar 

  62. Kaur D, Yantiri F, Rajagopalan S, Kumar J, Mo JQ, Boonplueang R, et al. Genetic or pharmacological iron chelation prevents MPTP-induced neurotoxicity in vivo: a novel therapy for Parkinson’s disease. Neuron. 2003;37(6):899–909.

    Article  CAS  PubMed  Google Scholar 

  63. Bjorklund G, Hofer T, Nurchi VM, Aaseth J. Iron and other metals in the pathogenesis of Parkinson’s disease: toxic effects and possible detoxification. J Inorg Biochem. 2019;199:110717. https://doi.org/10.1016/j.jinorgbio.2019.110717.

    Article  CAS  PubMed  Google Scholar 

  64. Dusek P, Roos PM, Litwin T, Schneider SA, Flaten TP, Aaseth J. The neurotoxicity of iron, copper and manganese in Parkinson’s and Wilson’s diseases. J Trace Elem Med Biol. 2015;31:193–203. https://doi.org/10.1016/j.jtemb.2014.05.007.

    Article  CAS  PubMed  Google Scholar 

  65. Dexter DT, Wells FR, Agid F, Agid Y, Lees AJ, Jenner P, et al. Increased nigral iron content in postmortem parkinsonian brain. Lancet. 1987;2(8569):1219–20.

    Article  CAS  PubMed  Google Scholar 

  66. Acosta-Cabronero J, Cardenas-Blanco A, Betts MJ, Butryn M, Valdes-Herrera JP, Galazky I, et al. The whole-brain pattern of magnetic susceptibility perturbations in Parkinson’s disease. Brain. 2017;140(1):118–31. https://doi.org/10.1093/brain/aww278.

    Article  PubMed  Google Scholar 

  67. Gorell JM, Ordidge RJ, Brown GG, Deniau JC, Buderer NM, Helpern JA. Increased iron-related MRI contrast in the substantia nigra in Parkinson’s disease. Neurology. 1995;45(6):1138–43.

    Article  CAS  PubMed  Google Scholar 

  68. Bartzokis G, Cummings JL, Markham CH, Marmarelis PZ, Treciokas LJ, Tishler TA, et al. MRI evaluation of brain iron in earlier- and later-onset Parkinson’s disease and normal subjects. Magn Reson Imaging. 1999;17(2):213–22.

    Article  CAS  PubMed  Google Scholar 

  69. Becker G, Berg D. Neuroimaging in basal ganglia disorders: perspectives for transcranial ultrasound. Mov Disord. 2001;16(1):23–32.

    Article  CAS  PubMed  Google Scholar 

  70. Braak H, Ghebremedhin E, Rub U, Bratzke H, Del Tredici K. Stages in the development of Parkinson’s disease-related pathology. Cell Tissue Res. 2004;318(1):121–34. https://doi.org/10.1007/s00441-004-0956-9.

    Article  PubMed  Google Scholar 

  71. Moreau C, Duce JA, Rascol O, Devedjian JC, Berg D, Dexter D, et al. Iron as a therapeutic target for Parkinson’s disease. Mov Disord. 2018;33(4):568–74. https://doi.org/10.1002/mds.27275.

    Article  PubMed  Google Scholar 

  72. Hare DJ, Double KL. Iron and dopamine: a toxic couple. Brain. 2016;139(Pt 4):1026–35. https://doi.org/10.1093/brain/aww022.

    Article  PubMed  Google Scholar 

  73. Zucca FA, Bellei C, Giannelli S, Terreni MR, Gallorini M, Rizzio E, et al. Neuromelanin and iron in human locus coeruleus and substantia nigra during aging: consequences for neuronal vulnerability. J Neural Transm (Vienna). 2006;113(6):757–67. https://doi.org/10.1007/s00702-006-0453-2.

    Article  CAS  Google Scholar 

  74. Duce JA, Wong BX, Durham H, Devedjian JC, Smith DP, Devos D. Post translational changes to alpha-synuclein control iron and dopamine trafficking; a concept for neuron vulnerability in Parkinson’s disease. Mol Neurodegener. 2017;12(1):45. https://doi.org/10.1186/s13024-017-0186-8.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  75. Chau KY, Ching HL, Schapira AH, Cooper JM. Relationship between alpha synuclein phosphorylation, proteasomal inhibition and cell death: relevance to Parkinson’s disease pathogenesis. J Neurochem. 2009;110(3):1005–13. https://doi.org/10.1111/j.1471-4159.2009.06191.x.

    Article  CAS  PubMed  Google Scholar 

  76. Li WJ, Jiang H, Song N, Xie JX. Dose- and time-dependent alpha-synuclein aggregation induced by ferric iron in SK-N-SH cells. Neurosci Bull. 2010;26(3):205–10.

    Article  PubMed  PubMed Central  Google Scholar 

  77. Stuber C, Pitt D, Wang Y. Iron in multiple sclerosis and its noninvasive imaging with quantitative susceptibility mapping. Int J Mol Sci. 2016;17(1):E100. https://doi.org/10.3390/ijms17010100.

    Article  CAS  PubMed  Google Scholar 

  78. Mehta V, Pei W, Yang G, Li S, Swamy E, Boster A, et al. Iron is a sensitive biomarker for inflammation in multiple sclerosis lesions. PLoS One. 2013;8(3):e57573. https://doi.org/10.1371/journal.pone.0057573.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  79. Chen W, Gauthier SA, Gupta A, Comunale J, Liu T, Wang S, et al. Quantitative susceptibility mapping of multiple sclerosis lesions at various ages. Radiology. 2014;271(1):183–92. https://doi.org/10.1148/radiol.13130353.

    Article  PubMed  Google Scholar 

  80. Hametner S, Wimmer I, Haider L, Pfeifenbring S, Bruck W, Lassmann H. Iron and neurodegeneration in the multiple sclerosis brain. Ann Neurol. 2013;74(6):848–61. https://doi.org/10.1002/ana.23974.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  81. Popescu BF, Frischer JM, Webb SM, Tham M, Adiele RC, Robinson CA, et al. Pathogenic implications of distinct patterns of iron and zinc in chronic MS lesions. Acta Neuropathol. 2017;134(1):45–64. https://doi.org/10.1007/s00401-017-1696-8.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  82. Moller HE, Bossoni L, Connor JR, Crichton RR, Does MD, Ward RJ, et al. Iron, myelin, and the brain: neuroimaging meets neurobiology. Trends Neurosci. 2019;42(6):384–401. https://doi.org/10.1016/j.tins.2019.03.009.

    Article  CAS  PubMed  Google Scholar 

  83. Peferoen L, Kipp M, van der Valk P, van Noort JM, Amor S. Oligodendrocyte-microglia cross-talk in the central nervous system. Immunology. 2014;141(3):302–13. https://doi.org/10.1111/imm.12163.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  84. Bergsland N, Agostini S, Lagana MM, Mancuso R, Mendozzi L, Tavazzi E, et al. Serum iron concentration is associated with subcortical deep gray matter iron levels in multiple sclerosis patients. Neuroreport. 2017;28(11):645–8. https://doi.org/10.1097/WNR.0000000000000804.

    Article  CAS  PubMed  Google Scholar 

  85. Burgetova A, Seidl Z, Krasensky J, Horakova D, Vaneckova M. Multiple sclerosis and the accumulation of iron in the basal ganglia: quantitative assessment of brain iron using MRI t(2) relaxometry. Eur Neurol. 2010;63(3):136–43. https://doi.org/10.1159/000279305.

    Article  CAS  PubMed  Google Scholar 

  86. Rudko DA, Solovey I, Gati JS, Kremenchutzky M, Menon RS. Multiple sclerosis: improved identification of disease-relevant changes in gray and white matter by using susceptibility-based MR imaging. Radiology. 2014;272(3):851–64. https://doi.org/10.1148/radiol.14132475.

    Article  PubMed  Google Scholar 

  87. Schweser F, RaffainiDuarteMartins AL, Hagemeier J, Lin F, Hanspach J, Weinstock-Guttman B, et al. Mapping of thalamic magnetic susceptibility in multiple sclerosis indicates decreasing iron with disease duration: a proposed mechanistic relationship between inflammation and oligodendrocyte vitality. Neuroimage. 2018;167:438–52. https://doi.org/10.1016/j.neuroimage.2017.10.063.

    Article  PubMed  Google Scholar 

  88. Bergsland N, Schweser F, Dwyer MG, Weinstock-Guttman B, Benedict RHB, Zivadinov R. Thalamic white matter in multiple sclerosis: a combined diffusion-tensor imaging and quantitative susceptibility mapping study. Hum Brain Mapp. 2018;39(10):4007–17. https://doi.org/10.1002/hbm.24227.

    Article  PubMed  PubMed Central  Google Scholar 

  89. Zivadinov R, Ramasamy DP, Benedict RR, Polak P, Hagemeier J, Magnano C, et al. Cerebral microbleeds in multiple sclerosis evaluated on susceptibility-weighted images and quantitative susceptibility maps: a case–control study. Radiology. 2016;281(3):884–95. https://doi.org/10.1148/radiol.2016160060.

    Article  PubMed  Google Scholar 

  90. Hayflick SJ, Kurian MA, Hogarth P. Neurodegeneration with brain iron accumulation. Handb Clin Neurol. 2018;147:293–305. https://doi.org/10.1016/B978-0-444-63233-3.00019-1.

    Article  PubMed  PubMed Central  Google Scholar 

  91. Kruer MC. The neuropathology of neurodegeneration with brain iron accumulation. Int Rev Neurobiol. 2013;110:165–94. https://doi.org/10.1016/B978-0-12-410502-7.00009-0.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  92. Hayflick SJ, Westaway SK, Levinson B, Zhou B, Johnson MA, Ching KH, et al. Genetic, clinical, and radiographic delineation of Hallervorden–Spatz syndrome. N Engl J Med. 2003;348(1):33–40. https://doi.org/10.1056/NEJMoa020817.

    Article  CAS  PubMed  Google Scholar 

  93. Fiorito V, Chiabrando D, Tolosano E. Mitochondrial targeting in neurodegeneration: a heme perspective. Pharmaceuticals (Basel). 2018;11(3):E87. https://doi.org/10.3390/ph11030087.

    Article  CAS  Google Scholar 

  94. Bergsland N, Zivadinov R, Schweser F, Hagemeier J, Lichter D, Guttuso T. Ventral posterior substantia nigra iron increases over 3 years in Parkinson’s disease. Mov Disord. 2019;34(7):1006–13.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  95. Hagemeier J, Zivadinov R, Dwyer MG, Polak P, Bergsland N, Weinstock-Guttman B, et al. Changes of deep gray matter magnetic susceptibility over 2 years in multiple sclerosis and healthy control brain. Neuroimage Clin. 2018;18:1007–16. https://doi.org/10.1016/j.nicl.2017.04.008.

    Article  PubMed  Google Scholar 

  96. Hernandez-Torres E, Wiggermann V, Machan L, Sadovnick AD, Li DKB, Traboulsee A, et al. Increased mean R2* in the deep gray matter of multiple sclerosis patients: have we been measuring atrophy? J Magn Reson Imaging. 2019;50(1):201–8. https://doi.org/10.1002/jmri.26561.

    Article  PubMed  Google Scholar 

  97. Hagemeier J, Dwyer M, Bergsland N, Weinstock-Guttman B, Zivadinov R, Schweser F. Loss of brain iron is linked to disability in multiple sclerosis: the difference between concentration and mass of iron (P5.2-011). Neurology. 2019;92(15 Suppl.):P.52-011.

    Google Scholar 

  98. Hametner S, Endmayr V, Deistung A, Palmrich P, Prihoda M, Haimburger E, et al. The influence of brain iron and myelin on magnetic susceptibility and effective transverse relaxation: a biochemical and histological validation study. Neuroimage. 2018;179:117–33. https://doi.org/10.1016/j.neuroimage.2018.06.007.

    Article  CAS  PubMed  Google Scholar 

  99. Bagnato F, Hametner S, Boyd E, Endmayr V, Shi Y, Ikonomidou V, et al. Untangling the R2* contrast in multiple sclerosis: a combined MRI-histology study at 7.0 Tesla. PLoS One. 2018;13(3):e0193839. https://doi.org/10.1371/journal.pone.0193839.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  100. Elkady AM, Cobzas D, Sun H, Blevins G, Wilman AH. Discriminative analysis of regional evolution of iron and myelin/calcium in deep gray matter of multiple sclerosis and healthy subjects. J Magn Reson Imaging. 2018. https://doi.org/10.1002/jmri.26004.

    Article  PubMed  Google Scholar 

  101. Elkady AM, Cobzas D, Sun H, Seres P, Blevins G, Wilman AH. Five year iron changes in relapsing-remitting multiple sclerosis deep gray matter compared to healthy controls. Mult Scler Relat Disord. 2019;33:107–15. https://doi.org/10.1016/j.msard.2019.05.028.

    Article  PubMed  Google Scholar 

  102. Dietrich O, Levin J, Ahmadi SA, Plate A, Reiser MF, Botzel K, et al. MR imaging differentiation of Fe(2+) and Fe(3+) based on relaxation and magnetic susceptibility properties. Neuroradiology. 2017;59(4):403–9. https://doi.org/10.1007/s00234-017-1813-3.

    Article  PubMed  Google Scholar 

  103. Batista-Nascimento L, Pimentel C, Menezes RA, Rodrigues-Pousada C. Iron and neurodegeneration: from cellular homeostasis to disease. Oxid Med Cell Longev. 2012;2012:128647. https://doi.org/10.1155/2012/128647.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  104. Mills E, Dong XP, Wang F, Xu H. Mechanisms of brain iron transport: insight into neurodegeneration and CNS disorders. Future Med Chem. 2010;2(1):51–64.

    Article  CAS  PubMed  Google Scholar 

  105. Qian ZM, Shen X. Brain iron transport and neurodegeneration. Trends Mol Med. 2001;7(3):103–8.

    Article  CAS  PubMed  Google Scholar 

  106. Hagemeier J, Weinstock-Guttman B, Bergsland N, Heininen-Brown M, Carl E, Kennedy C, et al. Iron deposition on SWI-filtered phase in the subcortical deep gray matter of patients with clinically isolated syndrome may precede structure-specific atrophy. AJNR Am J Neuroradiol. 2012;33(8):1596–601. https://doi.org/10.3174/ajnr.A3030.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  107. Al-Radaideh AM, Wharton SJ, Lim SY, Tench CR, Morgan PS, Bowtell RW, et al. Increased iron accumulation occurs in the earliest stages of demyelinating disease: an ultra-high field susceptibility mapping study in clinically isolated syndrome. Mult Scler. 2013;19(7):896–903. https://doi.org/10.1177/1352458512465135.

    Article  CAS  PubMed  Google Scholar 

  108. Wyss-Coray T, Rogers J. Inflammation in Alzheimer disease: a brief review of the basic science and clinical literature. Cold Spring Harb Perspect Med. 2012;2(1):a006346. https://doi.org/10.1101/cshperspect.a006346.

    Article  PubMed  PubMed Central  Google Scholar 

  109. Tufekci KU, Meuwissen R, Genc S, Genc K. Inflammation in Parkinson’s disease. Adv Protein Chem Struct Biol. 2012;88:69–132. https://doi.org/10.1016/B978-0-12-398314-5.00004-0.

    Article  CAS  PubMed  Google Scholar 

  110. Sanai SA, Saini V, Benedict RH, Zivadinov R, Teter BE, Ramanathan M, et al. Aging and multiple sclerosis. Mult Scler. 2016;22(6):717–25. https://doi.org/10.1177/1352458516634871.

    Article  PubMed  Google Scholar 

  111. Devos D, Moreau C, Devedjian JC, Kluza J, Petrault M, Laloux C, et al. Targeting chelatable iron as a therapeutic modality in Parkinson’s disease. Antioxid Redox Signal. 2014;21(2):195–210. https://doi.org/10.1089/ars.2013.5593.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  112. Martin-Bastida A, Ward RJ, Newbould R, Piccini P, Sharp D, Kabba C, et al. Brain iron chelation by deferiprone in a phase 2 randomised double-blinded placebo controlled clinical trial in Parkinson’s disease. Sci Rep. 2017;7(1):1398. https://doi.org/10.1038/s41598-017-01402-2.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  113. Dixon SJ, Lemberg KM, Lamprecht MR, Skouta R, Zaitsev EM, Gleason CE, et al. Ferroptosis: an iron-dependent form of nonapoptotic cell death. Cell. 2012;149(5):1060–72. https://doi.org/10.1016/j.cell.2012.03.042.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  114. Genoud S, Roberts BR, Gunn AP, Halliday GM, Lewis SJG, Ball HJ, et al. Subcellular compartmentalisation of copper, iron, manganese, and zinc in the Parkinson’s disease brain. Metallomics. 2017;9(10):1447–55. https://doi.org/10.1039/c7mt00244k.

    Article  CAS  PubMed  Google Scholar 

  115. Kordower JH, Olanow CW, Dodiya HB, Chu Y, Beach TG, Adler CH, et al. Disease duration and the integrity of the nigrostriatal system in Parkinson’s disease. Brain. 2013;136(Pt 8):2419–31. https://doi.org/10.1093/brain/awt192.

    Article  PubMed  PubMed Central  Google Scholar 

  116. Aaseth J, Dusek P, Roos PM. Prevention of progression in Parkinson’s disease. Biometals. 2018;31(5):737–47. https://doi.org/10.1007/s10534-018-0131-5.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  117. Erbas O, Cinar BP, Solmaz V, Cavusoglu T, Ates U. The neuroprotective effect of erythropoietin on experimental Parkinson model in rats. Neuropeptides. 2015;49:1–5. https://doi.org/10.1016/j.npep.2014.10.003.

    Article  CAS  PubMed  Google Scholar 

  118. Jang W, Park J, Shin KJ, Kim JS, Kim JS, Youn J, et al. Safety and efficacy of recombinant human erythropoietin treatment of non-motor symptoms in Parkinson’s disease. J Neurol Sci. 2014;337(1–2):47–54. https://doi.org/10.1016/j.jns.2013.11.015.

    Article  CAS  PubMed  Google Scholar 

  119. Ritchie CW, Bush AI, Mackinnon A, Macfarlane S, Mastwyk M, MacGregor L, et al. Metal-protein attenuation with iodochlorhydroxyquin (clioquinol) targeting Abeta amyloid deposition and toxicity in Alzheimer disease: a pilot phase 2 clinical trial. Arch Neurol. 2003;60(12):1685–91. https://doi.org/10.1001/archneur.60.12.1685.

    Article  PubMed  Google Scholar 

  120. Lannfelt L, Blennow K, Zetterberg H, Batsman S, Ames D, Harrison J, et al. Safety, efficacy, and biomarker findings of PBT2 in targeting Abeta as a modifying therapy for Alzheimer’s disease: a phase IIa, double-blind, randomised, placebo-controlled trial. Lancet Neurol. 2008;7(9):779–86. https://doi.org/10.1016/S1474-4422(08)70167-4.

    Article  CAS  PubMed  Google Scholar 

  121. Lynch SG, Peters K, LeVine SM. Desferrioxamine in chronic progressive multiple sclerosis: a pilot study. Mult Scler. 1996;2(3):157–60. https://doi.org/10.1177/135245859600200306.

    Article  CAS  PubMed  Google Scholar 

  122. Lynch SG, Fonseca T, LeVine SM. A multiple course trial of desferrioxamine in chronic progressive multiple sclerosis. Cell Mol Biol (Noisy-le-grand). 2000;46(4):865–9.

    CAS  Google Scholar 

  123. Sweeney ME, Slusser JG, Lynch SG, Benedict SH, Garcia SL, Rues L, et al. Deferiprone modulates in vitro responses by peripheral blood T cells from control and relapsing-remitting multiple sclerosis subjects. Int Immunopharmacol. 2011;11(11):1796–801. https://doi.org/10.1016/j.intimp.2011.07.007.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  124. Mitchell KM, Dotson AL, Cool KM, Chakrabarty A, Benedict SH, LeVine SM. Deferiprone, an orally deliverable iron chelator, ameliorates experimental autoimmune encephalomyelitis. Mult Scler. 2007;13(9):1118–26. https://doi.org/10.1177/1352458507078916.

    Article  CAS  PubMed  Google Scholar 

  125. Lindner U, Schuppan D, Schleithoff L, Habeck JO, Grodde T, Kirchhof K, et al. Aceruloplasminaemia: a family with a novel mutation and long-term therapy with deferasirox. Horm Metab Res. 2015;47(4):303–8. https://doi.org/10.1055/s-0034-1383650.

    Article  CAS  PubMed  Google Scholar 

  126. Mariani R, Arosio C, Pelucchi S, Grisoli M, Piga A, Trombini P, et al. Iron chelation therapy in aceruloplasminaemia: study of a patient with a novel missense mutation. Gut. 2004;53(5):756–8.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  127. Fasano A, Colosimo C, Miyajima H, Tonali PA, Re TJ, Bentivoglio AR. Aceruloplasminemia: a novel mutation in a family with marked phenotypic variability. Mov Disord. 2008;23(5):751–5. https://doi.org/10.1002/mds.21938.

    Article  PubMed  Google Scholar 

  128. Abbruzzese G, Cossu G, Balocco M, Marchese R, Murgia D, Melis M, et al. A pilot trial of deferiprone for neurodegeneration with brain iron accumulation. Haematologica. 2011;96(11):1708–11. https://doi.org/10.3324/haematol.2011.043018.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  129. Cossu G, Abbruzzese G, Matta G, Murgia D, Melis M, Ricchi V, et al. Efficacy and safety of deferiprone for the treatment of pantothenate kinase-associated neurodegeneration (PKAN) and neurodegeneration with brain iron accumulation (NBIA): results from a four years follow-up. Parkinsonism Relat Disord. 2014;20(6):651–4. https://doi.org/10.1016/j.parkreldis.2014.03.002.

    Article  PubMed  Google Scholar 

  130. Gao HM, Liu B, Zhang W, Hong JS. Novel anti-inflammatory therapy for Parkinson’s disease. Trends Pharmacol Sci. 2003;24(8):395–401. https://doi.org/10.1016/S0165-6147(03)00176-7.

    Article  CAS  PubMed  Google Scholar 

  131. Reksidler AB, Lima MM, Zanata SM, Machado HB, da Cunha C, Andreatini R, et al. The COX-2 inhibitor parecoxib produces neuroprotective effects in MPTP-lesioned rats. Eur J Pharmacol. 2007;560(2–3):163–75. https://doi.org/10.1016/j.ejphar.2006.12.032.

    Article  CAS  PubMed  Google Scholar 

  132. Quintero EM, Willis L, Singleton R, Harris N, Huang P, Bhat N, et al. Behavioral and morphological effects of minocycline in the 6-hydroxydopamine rat model of Parkinson’s disease. Brain Res. 2006;1093(1):198–207. https://doi.org/10.1016/j.brainres.2006.03.104.

    Article  CAS  PubMed  Google Scholar 

  133. Wu HM, Tzeng NS, Qian L, Wei SJ, Hu X, Chen SH, et al. Novel neuroprotective mechanisms of memantine: increase in neurotrophic factor release from astroglia and anti-inflammation by preventing microglial activation. Neuropsychopharmacology. 2009;34(10):2344–57. https://doi.org/10.1038/npp.2009.64.

    Article  CAS  PubMed  Google Scholar 

  134. Kubera M, Maes M, Budziszewska B, Basta-Kaim A, Leskiewicz M, Grygier B, et al. Inhibitory effects of amantadine on the production of pro-inflammatory cytokines by stimulated in vitro human blood. Pharmacol Rep. 2009;61(6):1105–12.

    Article  CAS  PubMed  Google Scholar 

  135. Rees K, Stowe R, Patel S, Ives N, Breen K, Clarke CE, et al. Non-steroidal anti-inflammatory drugs as disease-modifying agents for Parkinson’s disease: evidence from observational studies. Cochrane Database Syst Rev. 2011;11:CD008454. https://doi.org/10.1002/14651858.cd008454.pub2.

    Article  Google Scholar 

  136. Aisen PS, Schafer KA, Grundman M, Pfeiffer E, Sano M, Davis KL, et al. Effects of rofecoxib or naproxen vs placebo on Alzheimer disease progression: a randomized controlled trial. JAMA. 2003;289(21):2819–26. https://doi.org/10.1001/jama.289.21.2819.

    Article  CAS  PubMed  Google Scholar 

  137. Thompson AJ, Baranzini SE, Geurts J, Hemmer B, Ciccarelli O. Multiple sclerosis. Lancet. 2018;391(10130):1622–36. https://doi.org/10.1016/S0140-6736(18)30481-1.

    Article  PubMed  Google Scholar 

  138. Foote AK, Blakemore WF. Inflammation stimulates remyelination in areas of chronic demyelination. Brain. 2005;128(Pt 3):528–39. https://doi.org/10.1093/brain/awh417.

    Article  CAS  PubMed  Google Scholar 

  139. Sochocka M, Diniz BS, Leszek J. Inflammatory response in the CNS: friend or foe? Mol Neurobiol. 2017;54(10):8071–89. https://doi.org/10.1007/s12035-016-0297-1.

    Article  CAS  PubMed  Google Scholar 

  140. Pfefferbaum A, Adalsteinsson E, Rohlfing T, Sullivan EV. MRI estimates of brain iron concentration in normal aging: comparison of field-dependent (FDRI) and phase (SWI) methods. Neuroimage. 2009;47(2):493–500. https://doi.org/10.1016/j.neuroimage.2009.05.006.

    Article  PubMed  Google Scholar 

  141. Bartzokis G, Lu PH, Tishler TA, Peters DG, Kosenko A, Barrall KA, et al. Prevalent iron metabolism gene variants associated with increased brain ferritin iron in healthy older men. J Alzheimers Dis. 2010;20(1):333–41. https://doi.org/10.3233/JAD-2010-1368.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  142. Jensen JH, Chandra R, Ramani A, Lu H, Johnson G, Lee SP, et al. Magnetic field correlation imaging. Magn Reson Med. 2006;55(6):1350–61. https://doi.org/10.1002/mrm.20907.

    Article  PubMed  Google Scholar 

  143. Ge Y, Jensen JH, Lu H, Helpern JA, Miles L, Inglese M, et al. Quantitative assessment of iron accumulation in the deep gray matter of multiple sclerosis by magnetic field correlation imaging. AJNR Am J Neuroradiol. 2007;28(9):1639–44. https://doi.org/10.3174/ajnr.A0646.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  144. Dumas EM, Versluis MJ, van den Bogaard SJ, van Osch MJ, Hart EP, van Roon-Mom WM, et al. Elevated brain iron is independent from atrophy in Huntington’s disease. Neuroimage. 2012;61(3):558–64. https://doi.org/10.1016/j.neuroimage.2012.03.056.

    Article  CAS  PubMed  Google Scholar 

  145. Wang Y, Butros SR, Shuai X, Dai Y, Chen C, Liu M, et al. Different iron-deposition patterns of multiple system atrophy with predominant parkinsonism and idiopathetic Parkinson diseases demonstrated by phase-corrected susceptibility-weighted imaging. AJNR Am J Neuroradiol. 2012;33(2):266–73. https://doi.org/10.3174/ajnr.A2765.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  146. Langkammer C, Schweser F, Krebs N, Deistung A, Goessler W, Scheurer E, et al. Quantitative susceptibility mapping (QSM) as a means to measure brain iron? A post mortem validation study. Neuroimage. 2012;62(3):1593–9. https://doi.org/10.1016/j.neuroimage.2012.05.049.

    Article  PubMed  Google Scholar 

  147. Hagemeier J, Ramanathan M, Schweser F, Dwyer MG, Lin F, Bergsland N, et al. Iron-related gene variants and brain iron in multiple sclerosis and healthy individuals. Neuroimage Clin. 2018;17:530–40. https://doi.org/10.1016/j.nicl.2017.11.003.

    Article  PubMed  Google Scholar 

  148. House MJ, St Pierre TG, Kowdley KV, Montine T, Connor J, Beard J, et al. Correlation of proton transverse relaxation rates (R2) with iron concentrations in postmortem brain tissue from Alzheimer’s disease patients. Magn Reson Med. 2007;57(1):172–80. https://doi.org/10.1002/mrm.21118.

    Article  CAS  PubMed  Google Scholar 

  149. Hasan KM, Walimuni IS, Kramer LA, Narayana PA. Human brain iron mapping using atlas-based T2 relaxometry. Magn Reson Med. 2012;67(3):731–9. https://doi.org/10.1002/mrm.23054.

    Article  CAS  PubMed  Google Scholar 

  150. Khalil M, Langkammer C, Pichler A, Pinter D, Gattringer T, Bachmaier G, et al. Dynamics of brain iron levels in multiple sclerosis: a longitudinal 3T MRI study. Neurology. 2015;84(24):2396–402. https://doi.org/10.1212/WNL.0000000000001679.

    Article  CAS  PubMed  Google Scholar 

  151. Ulla M, Bonny JM, Ouchchane L, Rieu I, Claise B, Durif F. Is R2* a new MRI biomarker for the progression of Parkinson’s disease? A longitudinal follow-up. PLoS One. 2013;8(3):e57904. https://doi.org/10.1371/journal.pone.0057904.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  152. Langkammer C, Ropele S, Pirpamer L, Fazekas F, Schmidt R. MRI for iron mapping in Alzheimer’s disease. Neurodegener Dis. 2014;13(2–3):189–91. https://doi.org/10.1159/000353756.

    Article  CAS  PubMed  Google Scholar 

  153. Akter M, Hirai T, Hiai Y, Kitajima M, Komi M, Murakami R, et al. Detection of hemorrhagic hypointense foci in the brain on susceptibility-weighted imaging clinical and phantom studies. Acad Radiol. 2007;14(9):1011–9. https://doi.org/10.1016/j.acra.2007.05.013.

    Article  PubMed  Google Scholar 

  154. Tjoa CW, Benedict RH, Weinstock-Guttman B, Fabiano AJ, Bakshi R. MRI T2 hypointensity of the dentate nucleus is related to ambulatory impairment in multiple sclerosis. J Neurol Sci. 2005;234(1–2):17–24. https://doi.org/10.1016/j.jns.2005.02.009.

    Article  CAS  PubMed  Google Scholar 

  155. Bakshi R, Benedict RH, Bermel RA, Caruthers SD, Puli SR, Tjoa CW, et al. T2 hypointensity in the deep gray matter of patients with multiple sclerosis: a quantitative magnetic resonance imaging study. Arch Neurol. 2002;59(1):62–8.

    Article  PubMed  Google Scholar 

  156. Lopez-Sendon Moreno JL, Alonso-Canovas A, Buisan Catevilla J, Garcia Barragan N, Corral Corral I, de Felipe Mimbrera A, et al. Substantia nigra echogenicity predicts response to drug withdrawal in suspected drug-induced parkinsonism. Mov Disord Clin Pract. 2016;3(3):268–74. https://doi.org/10.1002/mdc3.12281.

    Article  PubMed  Google Scholar 

  157. Liman J, Wellmer A, Rostasy K, Bahr M, Kermer P. Transcranial ultrasound in neurodegeneration with brain iron accumulation (NBIA). Eur J Paediatr Neurol. 2012;16(2):175–8. https://doi.org/10.1016/j.ejpn.2011.07.009.

    Article  PubMed  Google Scholar 

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Correspondence to Niels Bergsland.

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This work was supported by the National Center for Advancing Translational Sciences of the National Institutes of Health, under award Number UL1TR001412. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.

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Niels Bergsland, Eleonora Tavazzi, Dejan Jakimovski, and Jesper Hagemeier have no conflicts of interest that are directly relevant to the content of this article. Ferdinand Schweser has received personal compensation from Toshiba Canada Medical Systems Limited, Canon Medical Systems Corporation Japan, and Goodwin Procter LLP for speaking and consultant fees. He received financial support for research activities from SynchroPET Inc. and travel sponsorship from GE Healthcare and SynchroPET Inc. Michael G. Dwyer has received consultant fees from Claret Medical and research grant support from Novartis. Robert Zivadinov has received personal compensation from EMD Serono, Genzyme-Sanofi, Novartis, and Celgene for speaking and consultant fees. He received financial support for research activities from Genzyme-Sanofi, Celgene, Novartis, Mapi Pharma, V-WAVE Medical, and Protembis.

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Bergsland, N., Tavazzi, E., Schweser, F. et al. Targeting Iron Dyshomeostasis for Treatment of Neurodegenerative Disorders. CNS Drugs 33, 1073–1086 (2019). https://doi.org/10.1007/s40263-019-00668-6

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