Literature DB >> 26660104

Reduced white matter MRI transverse relaxation rate in cognitively normal H63D-HFE human carriers and H67D-HFE mice.

Mark D Meadowcroft1,2,3,4, Jianli Wang5, Carson J Purnell6, Douglas G Peters6,7, Paul J Eslinger8, Elizabeth B Neely6, David J Gill8, Megha Vasavada5, Fatima Ali-Rahmani6, Qing X Yang6,5, James R Connor6.   

Abstract

Mutations within the HFE protein gene sequence have been associated with increased risk of developing a number of neurodegenerative disorders. To this effect, an animal model has been created which incorporates the mouse homologue to the human H63D-HFE mutation: the H67D-HFE knock-in mouse. These mice exhibit alterations in iron management proteins, have increased neuronal oxidative stress, and a disruption in cholesterol regulation. However, it remains undetermined how these differences translate to human H63D carriers in regards to white matter (WM) integrity. To this endeavor, MRI transverse relaxation rate (R2) parametrics were employed to test the hypothesis that WM alterations are present in H63D human carriers and are recapitulated in the H67D mice. H63D carriers exhibit widespread reductions in brain R2 compared to non-carriers within white matter association fibers in the brain. Similar R2 decreases within white matter tracts were observed in the H67D mouse brain. Additionally, an exacerbation of age-related R2 decrease is found in the H67D animal model in white matter regions of interest. The decrease in R2 within white matter tracts of both species is speculated to be multifaceted. The R2 changes are hypothesized to be due to alterations in axonal biochemical tissue composition. The R2 changes observed in both the human-H63D and mouse-H67D data suggest that modified white matter myelination is occurring in subjects with HFE mutations, potentially increasing vulnerability to neurodegenerative disorders.

Entities:  

Keywords:  H63D; H67D mouse; HFE; MRI; R2; Relaxometry; White matter; rs1799945

Mesh:

Substances:

Year:  2016        PMID: 26660104      PMCID: PMC4903093          DOI: 10.1007/s11682-015-9494-1

Source DB:  PubMed          Journal:  Brain Imaging Behav        ISSN: 1931-7557            Impact factor:   3.978


  58 in total

1.  Association of HFE mutations with neurodegeneration and oxidative stress in Alzheimer's disease and correlation with APOE.

Authors:  Joseph F Pulliam; C Darrell Jennings; Richard J Kryscio; Daron G Davis; Dianne Wilson; Thomas J Montine; Frederick A Schmitt; William R Markesbery
Journal:  Am J Med Genet B Neuropsychiatr Genet       Date:  2003-05-15       Impact factor: 3.568

2.  BMP signaling mutant mice exhibit glial cell maturation defects.

Authors:  Jill See; Polina Mamontov; Kyung Ahn; Lara Wine-Lee; E Bryan Crenshaw; Judith B Grinspan
Journal:  Mol Cell Neurosci       Date:  2007-02-23       Impact factor: 4.314

3.  The hemochromatosis protein HFE competes with transferrin for binding to the transferrin receptor.

Authors:  J A Lebrón; A P West; P J Bjorkman
Journal:  J Mol Biol       Date:  1999-11-19       Impact factor: 5.469

4.  The association between the C282Y and H63D polymorphisms of HFE gene and the risk of Parkinson's disease: A meta-analysis.

Authors:  Jianjian Xia; Huamin Xu; Hong Jiang; Junxia Xie
Journal:  Neurosci Lett       Date:  2015-04-08       Impact factor: 3.046

5.  A three-dimensional digital atlas database of the adult C57BL/6J mouse brain by magnetic resonance microscopy.

Authors:  Y Ma; P R Hof; S C Grant; S J Blackband; R Bennett; L Slatest; M D McGuigan; H Benveniste
Journal:  Neuroscience       Date:  2005-09-13       Impact factor: 3.590

6.  H63D mutation in hemochromatosis alters cholesterol metabolism and induces memory impairment.

Authors:  Fatima Ali-Rahmani; Patricia S Grigson; Sang Lee; Elizabeth Neely; James R Connor; Cara-Lynne Schengrund
Journal:  Neurobiol Aging       Date:  2013-12-25       Impact factor: 4.673

7.  A mutation in the HFE gene is associated with altered brain iron profiles and increased oxidative stress in mice.

Authors:  Wint Nandar; Elizabeth B Neely; Erica Unger; James R Connor
Journal:  Biochim Biophys Acta       Date:  2013-02-18

8.  Iron in Frontotemporal Lobar Degeneration: A New Subcortical Pathological Pathway?

Authors:  Stefano Gazzina; Enrico Premi; Isabella Zanella; Giorgio Biasiotto; Silvana Archetti; Maura Cosseddu; Elio Scarpini; Daniela Galimberti; Maria Serpente; Roberto Gasparotti; Alessandro Padovani; Barbara Borroni
Journal:  Neurodegener Dis       Date:  2015-11-28       Impact factor: 2.977

Review 9.  Metals and cholesterol: two sides of the same coin in Alzheimer's disease pathology.

Authors:  Bruce X Wong; Ya Hui Hung; Ashley I Bush; James A Duce
Journal:  Front Aging Neurosci       Date:  2014-05-15       Impact factor: 5.750

10.  Voxel-based morphometry in the R6/2 transgenic mouse reveals differences between genotypes not seen with manual 2D morphometry.

Authors:  S J Sawiak; N I Wood; G B Williams; A J Morton; T A Carpenter
Journal:  Neurobiol Dis       Date:  2008-10-01       Impact factor: 5.996

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  4 in total

1.  Reduced Cerebral White Matter Integrity Assessed by DTI in Cognitively Normal H63D-HFE Polymorphism Carriers.

Authors:  Mark D Meadowcroft; Jianli Wang; Carson J Purnell; Paul J Eslinger; Elizabeth B Neely; Qing X Yang; James R Connor
Journal:  J Neuroimaging       Date:  2017-08-03       Impact factor: 2.486

2.  A role for sex and a common HFE gene variant in brain iron uptake.

Authors:  Kari A Duck; Elizabeth B Neely; Ian A Simpson; James R Connor
Journal:  J Cereb Blood Flow Metab       Date:  2017-03-28       Impact factor: 6.200

3.  Investigation of the association between cerebral iron content and myelin content in normative aging using quantitative magnetic resonance neuroimaging.

Authors:  Nikkita Khattar; Curtis Triebswetter; Matthew Kiely; Luigi Ferrucci; Susan M Resnick; Richard G Spencer; Mustapha Bouhrara
Journal:  Neuroimage       Date:  2021-06-15       Impact factor: 7.400

Review 4.  Iron uptake and transport across physiological barriers.

Authors:  Kari A Duck; James R Connor
Journal:  Biometals       Date:  2016-07-25       Impact factor: 2.949

  4 in total

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