Literature DB >> 10632232

In vivo evaluation of brain iron in Alzheimer disease using magnetic resonance imaging.

G Bartzokis1, D Sultzer, J Cummings, L E Holt, D B Hance, V W Henderson, J Mintz.   

Abstract

BACKGROUND: The basal ganglia contain the highest levels of iron in the brain, and postmortem studies indicate a disruption of iron metabolism in the basal ganglia of patients with Alzheimer disease (AD). Iron can catalyze free radical reactions and may contribute to oxidative damage observed in AD brains. Treatments aimed at reducing oxidative damage have offered novel ways to delay the rate of progression and could possibly defer the onset of AD. Brain iron levels were quantified in vivo using a new magnetic resonance imaging method.
METHODS: Thirty-one patients with AD and 68 control subjects participated in this study. A magnetic resonance imaging method was employed that quantifies the iron content of ferritin molecules (ferritin iron) with specificity through the combined use of high and low field-strength magnetic resonance imaging instruments. Three basal ganglia structures (caudate, putamen, and globus pallidus) and one comparison region (frontal lobe white matter) were evaluated.
RESULTS: Basal ganglia ferritin iron levels were significantly increased in the caudate (P = .007; effect size, 0.69) and putamen (P = .008; effect size, 0.67) of AD subjects, with a trend toward an increase in the globus pallidus (P = .13). The increased basal ganglia ferritin iron levels were not a generalized phenomenon; white matter ferritin iron levels were unchanged in patients with AD (P = .50).
CONCLUSIONS: The data replicate and extend prior results and suggest that basal ganglia ferritin iron levels are increased in AD. Prospective studies are needed to evaluate whether premorbid iron levels are increased in individuals who develop AD.

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Year:  2000        PMID: 10632232     DOI: 10.1001/archpsyc.57.1.47

Source DB:  PubMed          Journal:  Arch Gen Psychiatry        ISSN: 0003-990X


  68 in total

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Authors:  V Calabrese; T E Bates; A M Stella
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2.  3D maps localize caudate nucleus atrophy in 400 Alzheimer's disease, mild cognitive impairment, and healthy elderly subjects.

Authors:  S K Madsen; A J Ho; X Hua; P S Saharan; A W Toga; C R Jack; M W Weiner; P M Thompson
Journal:  Neurobiol Aging       Date:  2010-06-11       Impact factor: 4.673

3.  Differential aging of the human striatum: longitudinal evidence.

Authors:  Naftali Raz; Karen M Rodrigue; Kristen M Kennedy; Denise Head; Faith Gunning-Dixon; James D Acker
Journal:  AJNR Am J Neuroradiol       Date:  2003-10       Impact factor: 3.825

4.  Combining atlas-based parcellation of regional brain data acquired across scanners at 1.5 T and 3.0 T field strengths.

Authors:  Adolf Pfefferbaum; Torsten Rohlfing; Margaret J Rosenbloom; Edith V Sullivan
Journal:  Neuroimage       Date:  2012-01-26       Impact factor: 6.556

Review 5.  Iron and mechanisms of emotional behavior.

Authors:  Jonghan Kim; Marianne Wessling-Resnick
Journal:  J Nutr Biochem       Date:  2014-08-02       Impact factor: 6.048

6.  Longitudinal Development of Brain Iron Is Linked to Cognition in Youth.

Authors:  Bart Larsen; Josiane Bourque; Tyler M Moore; Azeez Adebimpe; Monica E Calkins; Mark A Elliott; Ruben C Gur; Raquel E Gur; Paul J Moberg; David R Roalf; Kosha Ruparel; Bruce I Turetsky; Simon N Vandekar; Daniel H Wolf; Russell T Shinohara; Theodore D Satterthwaite
Journal:  J Neurosci       Date:  2020-01-27       Impact factor: 6.167

7.  Whole brain susceptibility mapping using compressed sensing.

Authors:  Bing Wu; Wei Li; Arnaud Guidon; Chunlei Liu
Journal:  Magn Reson Med       Date:  2011-06-10       Impact factor: 4.668

8.  Ex vivo T2 relaxation: associations with age-related neuropathology and cognition.

Authors:  Robert J Dawe; David A Bennett; Julie A Schneider; Sue E Leurgans; Aikaterini Kotrotsou; Patricia A Boyle; Konstantinos Arfanakis
Journal:  Neurobiol Aging       Date:  2014-02-06       Impact factor: 4.673

9.  Visualization of beta-amyloid plaques in a transgenic mouse model of Alzheimer's disease using MR microscopy without contrast reagents.

Authors:  Sang-Pil Lee; Maria F Falangola; Ralph A Nixon; Karen Duff; Joseph A Helpern
Journal:  Magn Reson Med       Date:  2004-09       Impact factor: 4.668

Review 10.  Alzheimer's disease as homeostatic responses to age-related myelin breakdown.

Authors:  George Bartzokis
Journal:  Neurobiol Aging       Date:  2009-09-22       Impact factor: 4.673

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