Literature DB >> 24997672

Serum cholesterol and variant in cholesterol-related gene CETP predict white matter microstructure.

Nicholus M Warstadt1, Emily L Dennis1, Neda Jahanshad1, Omid Kohannim2, Talia M Nir1, Katie L McMahon3, Greig I de Zubicaray4, Grant W Montgomery5, Anjali K Henders5, Nicholas G Martin5, John B Whitfield5, Clifford R Jack6, Matt A Bernstein6, Michael W Weiner7, Arthur W Toga8, Margaret J Wright9, Paul M Thompson10.   

Abstract

Several common genetic variants influence cholesterol levels, which play a key role in overall health. Myelin synthesis and maintenance are highly sensitive to cholesterol concentrations, and abnormal cholesterol levels increase the risk for various brain diseases, including Alzheimer's disease. We report significant associations between higher serum cholesterol (CHOL) and high-density lipoprotein levels and higher fractional anisotropy in 403 young adults (23.8 ± 2.4 years) scanned with diffusion imaging and anatomic magnetic resonance imaging at 4 Tesla. By fitting a multi-locus genetic model within white matter areas associated with CHOL, we found that a set of 18 cholesterol-related, single-nucleotide polymorphisms implicated in Alzheimer's disease risk predicted fractional anisotropy. We focused on the single-nucleotide polymorphism with the largest individual effects, CETP (rs5882), and found that increased G-allele dosage was associated with higher fractional anisotropy and lower radial and mean diffusivities in voxel-wise analyses of the whole brain. A follow-up analysis detected white matter associations with rs5882 in the opposite direction in 78 older individuals (74.3 ± 7.3 years). Cholesterol levels may influence white matter integrity, and cholesterol-related genes may exert age-dependent effects on the brain.
Copyright © 2014 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Aging; Brain structure; Cholesterol; DTI; Development; Imaging genetics

Mesh:

Substances:

Year:  2014        PMID: 24997672      PMCID: PMC4198330          DOI: 10.1016/j.neurobiolaging.2014.05.024

Source DB:  PubMed          Journal:  Neurobiol Aging        ISSN: 0197-4580            Impact factor:   4.673


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