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      DNA methylation and brain structure and function across the life course: A systematic review

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          Highlights

          • 60 studies of association between DNAm and human brain MRI were identified.

          • Differential DNAm is associated with brain structure and function throughout life.

          • There is modest consistency between DNAm and image endophenotypes.

          • Approaches for reducing heterogeneity in DNAm-MRI analyses are proposed.

          Abstract

          MRI has enhanced our capacity to understand variations in brain structure and function conferred by the genome. We identified 60 studies that report associations between DNA methylation (DNAm) and human brain structure/function. Forty-three studies measured candidate loci DNAm; seventeen measured epigenome-wide DNAm. MRI features included region-of-interest and whole-brain structural, diffusion and functional imaging features. The studies report DNAm-MRI associations for: neurodevelopment and neurodevelopmental disorders; major depression and suicidality; alcohol use disorder; schizophrenia and psychosis; ageing, stroke, ataxia and neurodegeneration; post-traumatic stress disorder; and socio-emotional processing. Consistency between MRI features and differential DNAm is modest. Sources of bias: variable inclusion of comparator groups; different surrogate tissues used; variation in DNAm measurement methods; lack of control for genotype and cell-type composition; and variations in image processing. Knowledge of MRI features associated with differential DNAm may improve understanding of the role of DNAm in brain health and disease, but caution is required because conventions for linking DNAm and MRI data are not established, and clinical and methodological heterogeneity in existing literature is substantial.

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          Most cited references81

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          Allele-specific FKBP5 DNA demethylation mediates gene-childhood trauma interactions.

          Although the fact that genetic predisposition and environmental exposures interact to shape development and function of the human brain and, ultimately, the risk of psychiatric disorders has drawn wide interest, the corresponding molecular mechanisms have not yet been elucidated. We found that a functional polymorphism altering chromatin interaction between the transcription start site and long-range enhancers in the FK506 binding protein 5 (FKBP5) gene, an important regulator of the stress hormone system, increased the risk of developing stress-related psychiatric disorders in adulthood by allele-specific, childhood trauma-dependent DNA demethylation in functional glucocorticoid response elements of FKBP5. This demethylation was linked to increased stress-dependent gene transcription followed by a long-term dysregulation of the stress hormone system and a global effect on the function of immune cells and brain areas associated with stress regulation. This identification of molecular mechanisms of genotype-directed long-term environmental reactivity will be useful for designing more effective treatment strategies for stress-related disorders.
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            Automated 3-D extraction and evaluation of the inner and outer cortical surfaces using a Laplacian map and partial volume effect classification.

            Accurate reconstruction of the inner and outer cortical surfaces of the human cerebrum is a critical objective for a wide variety of neuroimaging analysis purposes, including visualization, morphometry, and brain mapping. The Anatomic Segmentation using Proximity (ASP) algorithm, previously developed by our group, provides a topology-preserving cortical surface deformation method that has been extensively used for the aforementioned purposes. However, constraints in the algorithm to ensure topology preservation occasionally produce incorrect thickness measurements due to a restriction in the range of allowable distances between the gray and white matter surfaces. This problem is particularly prominent in pediatric brain images with tightly folded gyri. This paper presents a novel method for improving the conventional ASP algorithm by making use of partial volume information through probabilistic classification in order to allow for topology preservation across a less restricted range of cortical thickness values. The new algorithm also corrects the classification of the insular cortex by masking out subcortical tissues. For 70 pediatric brains, validation experiments for the modified algorithm, Constrained Laplacian ASP (CLASP), were performed by three methods: (i) volume matching between surface-masked gray matter (GM) and conventional tissue-classified GM, (ii) surface matching between simulated and CLASP-extracted surfaces, and (iii) repeatability of the surface reconstruction among 16 MRI scans of the same subject. In the volume-based evaluation, the volume enclosed by the CLASP WM and GM surfaces matched the classified GM volume 13% more accurately than using conventional ASP. In the surface-based evaluation, using synthesized thick cortex, the average difference between simulated and extracted surfaces was 4.6 +/- 1.4 mm for conventional ASP and 0.5 +/- 0.4 mm for CLASP. In a repeatability study, CLASP produced a 30% lower RMS error for the GM surface and a 8% lower RMS error for the WM surface compared with ASP.
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              Prenatal exposure to maternal depression, neonatal methylation of human glucocorticoid receptor gene (NR3C1) and infant cortisol stress responses.

              In animal models, variations in early maternal care are associated with differences in hypothalamic-pituitary-adrenal(HPA) stress response in the offspring, mediated via changes in the epigenetic regulation of glucocorticoid receptor (GR) gene (Nr3c1) expression. To study this in humans, relationships between prenatal exposure to maternal mood and the methylation status of a CpG-rich region in the promoter and exon 1F of the human GR gene (NR3C1) in newborns and HPA stress reactivity at age three months were examined. Prenatal exposure to increased third trimester maternal depressed/anxious mood was associated with increased methylation of NR3C1 at a predicted NGFI-A binding site. Increased NR3C1 methylation at this site was also associated with increased salivary cortisol stress responses at 3 months, controlling for prenatal SRI exposure, postnatal age and pre and postnatal maternal mood. The methylation status of a CpG-rich region of the NR3C1 gene, including exon 1F, in genomic DNA from cord blood mononuclear cells was quantified by bisulfite pyrosequencing in infants of depressed mothers treated with a serotonin reuptake inhibitor antidepressant (SRI) (n = 33), infants of depressed nontreated mothers (n = 13) and infants of non depressed/non treated mothers (n = 36). To study the functional implications of the newborn methylation status of NR3C1 in newborns, HPA function was assessed at three months using salivary cortisol obtained before and following a non noxious stressor and at a late afternoon basal time. Methylation status of the human NR3C1 gene in newborns is sensitive to prenatal maternal mood and may offer a potential epigenetic process that links antenatal maternal mood and altered HPA stress reactivity during infancy.
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                Author and article information

                Contributors
                Journal
                Neurosci Biobehav Rev
                Neurosci Biobehav Rev
                Neuroscience and Biobehavioral Reviews
                Pergamon Press
                0149-7634
                1873-7528
                1 June 2020
                June 2020
                : 113
                : 133-156
                Affiliations
                [a ]Medical Research Council Centre for Reproductive Health, University of Edinburgh, United Kingdom
                [b ]Department of Psychology, University of Edinburgh, United Kingdom
                [c ]Centre for Clinical Brain Sciences, University of Edinburgh, United Kingdom
                [d ]University/British Heart Foundation Centre for Cardiovascular Science, University of Edinburgh, United Kingdom
                Author notes
                [* ]Corresponding author at: Queen's Medical Research Institute (W1.26), 47 Little France Crescent, Edinburgh, EH16 4TJ, United Kingdom. james.boardman@ 123456ed.ac.uk
                [1]

                Emily N. W. Wheater, David Q. Stoye, Amanda J. Drake, James P. Boardman: Queen’s Medical Research Institute, 47 Little France Crescent, Edinburgh, EH16 4TJ, United Kingdom

                [2]

                Simon R. Cox, Mark E. Bastin: Psychology Building, 7 George Square, Edinburgh, EH8 9JZ, United Kingdom

                [3]

                Joanna Wardlaw: Chancellor’s Building, 49 Little France Crescent, Edinburgh, EH16 4SB, United Kingdom

                Article
                S0149-7634(19)30715-8
                10.1016/j.neubiorev.2020.03.007
                7237884
                32151655
                c5740ffe-0f00-4a13-b724-4649e438dba2
                © 2020 The Authors

                This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

                History
                : 12 August 2019
                : 3 March 2020
                : 5 March 2020
                Categories
                Article

                Neurosciences
                dna methylation,magnetic resonance imaging,brain,epigenetics
                Neurosciences
                dna methylation, magnetic resonance imaging, brain, epigenetics

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