Literature DB >> 26401776

Tract Based Spatial Statistic Reveals No Differences in White Matter Microstructural Organization between Carriers and Non-Carriers of the APOE ɛ4 and ɛ2 Alleles in Young Healthy Adolescents.

Flavio Dell'Acqua1,2,3, Wasim Khan1,2,3, Natalie Gottlieb1,2,3, Vincent Giampietro1, Cedric Ginestet1,2, David Bouls1,2,3, Steven Newhouse1,2,3, Richard Dobson1,2,3, Tobias Banaschewski4,5, Gareth J Barker1, Arun L W Bokde6, Christian Büchel7, Patricia Conrod1,8, Herta Flor4,5, Vincent Frouin9, Hugh Garavan10,11, Penny Gowland12, Anreas Heinz13, Hervé Lemaítre14, Frauke Nees4,5, Tomas Paus15,16,17, Zdenka Pausova18, Marcella Rietschel4,5, Michael N Smolka19, Andreas Ströhle13, Jean Gallinat13, Eric Westman20, Gunther Schumann1,2, Simon Lovestone1,2,3, Andrew Simmons1,2,3.   

Abstract

The apolipoprotein E (APOE) ɛ4 allele is the best established genetic risk factor for Alzheimer's disease (AD) and has been previously associated with alterations in structural gray matter and changes in functional brain activity in healthy middle-aged individuals and older non-demented subjects. In order to determine the neural mechanism by which APOE polymorphisms affect white matter (WM) structure, we investigated the diffusion characteristics of WM tracts in carriers and non-carriers of the APOE ɛ4 and ɛ2 alleles using an unbiased whole brain analysis technique (Tract Based Spatial Statistics) in a healthy young adolescent (14 years) cohort. A large sample of healthy young adolescents (n = 575) were selected from the European neuroimaging-genetics IMAGEN study with available APOE status and accompanying diffusion imaging data. MR Diffusion data was acquired on 3T systems using 32 diffusion-weighted (DW) directions and 4 non-DW volumes (b-value = 1,300 s/mm² and isotropic resolution of 2.4×2.4×2.4  mm). No significant differences in WM structure were found in diffusion indices between carriers and non-carriers of the APOE ɛ4 and ɛ2 alleles, and dose-dependent effects of these variants were not established, suggesting that differences in WM structure are not modulated by the APOE polymorphism. In conclusion, our results suggest that microstructural properties of WM structure are not associated with the APOE ɛ4 and ɛ2 alleles in young adolescence, suggesting that the neural effects of these variants are not evident in 14-year-olds and may only develop later in life.

Entities:  

Keywords:  Apolipoprotein E; diffusion tensor imaging; magnetic resonance imaging; tract based spatial statistics; young healthy adolescents

Mesh:

Substances:

Year:  2015        PMID: 26401776     DOI: 10.3233/JAD-140519

Source DB:  PubMed          Journal:  J Alzheimers Dis        ISSN: 1387-2877            Impact factor:   4.472


  8 in total

1.  Meta-analysis of cognitive ability differences by apolipoprotein e genotype in young humans.

Authors:  Gali H Weissberger; Daniel A Nation; Caroline P Nguyen; Mark W Bondi; S Duke Han
Journal:  Neurosci Biobehav Rev       Date:  2018-08-17       Impact factor: 8.989

2.  Adverse Effects of the Apolipoprotein E ε4 Allele on Episodic Memory, Task Switching and Gray Matter Volume in Healthy Young Adults.

Authors:  Jianfei Nao; Hongzan Sun; Qiushi Wang; Shuang Ma; Shuo Zhang; Xiaoyu Dong; Ying Ma; Xiaoming Wang; Dongming Zheng
Journal:  Front Hum Neurosci       Date:  2017-06-29       Impact factor: 3.169

3.  APOE-ε4-related differences in left thalamic microstructure in cognitively healthy adults.

Authors:  Jilu P Mole; Fabrizio Fasano; John Evans; Rebecca Sims; Emma Kidd; John P Aggleton; Claudia Metzler-Baddeley
Journal:  Sci Rep       Date:  2020-11-13       Impact factor: 4.379

4.  Genetic risk for Alzheimer disease in children: Evidence from early-life IQ and brain white-matter microstructure.

Authors:  María Fernanda Vinueza-Veloz; Carlos Martín-Román; María Paulina Robalino-Valdivieso; Tonya White; Steven A Kushner; Chris I De Zeeuw
Journal:  Genes Brain Behav       Date:  2020-05-08       Impact factor: 3.449

5.  No differences in brain microstructure between young KIBRA-C carriers and non-carriers.

Authors:  Li Hu; Qunxing Xu; Jizhen Li; Feifei Wang; Xinghua Xu; Zhiyuan Sun; Xiangxing Ma; Yong Liu; Qing Wang; Dawei Wang
Journal:  Oncotarget       Date:  2017-12-16

Review 6.  Imaging Alzheimer's genetic risk using diffusion MRI: A systematic review.

Authors:  Judith R Harrison; Sanchita Bhatia; Zhao Xuan Tan; Anastasia Mirza-Davies; Hannah Benkert; Chantal M W Tax; Derek K Jones
Journal:  Neuroimage Clin       Date:  2020-07-22       Impact factor: 4.881

7.  Fornix white matter glia damage causes hippocampal gray matter damage during age-dependent limbic decline.

Authors:  Claudia Metzler-Baddeley; Jilu P Mole; Rebecca Sims; Fabrizio Fasano; John Evans; Derek K Jones; John P Aggleton; Roland J Baddeley
Journal:  Sci Rep       Date:  2019-01-31       Impact factor: 4.379

8.  The IMAGEN study: a decade of imaging genetics in adolescents.

Authors:  Lea Mascarell Maričić; Henrik Walter; Gunter Schumann; Andreas Heinz; Annika Rosenthal; Stephan Ripke; Erin Burke Quinlan; Tobias Banaschewski; Gareth J Barker; Arun L W Bokde; Uli Bromberg; Christian Büchel; Sylvane Desrivières; Herta Flor; Vincent Frouin; Hugh Garavan; Bernd Itterman; Jean-Luc Martinot; Marie-Laure Paillère Martinot; Frauke Nees; Dimitri Papadopoulos Orfanos; Tomáš Paus; Luise Poustka; Sarah Hohmann; Michael N Smolka; Juliane H Fröhner; Robert Whelan; Jakob Kaminski
Journal:  Mol Psychiatry       Date:  2020-06-29       Impact factor: 13.437

  8 in total

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