Epigenetic dysregulation of enhancers in neurons is associated with Alzheimer’s disease pathology and cognitive symptoms

Epigenetic control of enhancers alters neuronal functions and may be involved in Alzheimer’s disease (AD). Here, we identify enhancers in neurons contributing to AD by comprehensive fine-mapping of DNA methylation at enhancers, genome-wide. We examine 1.2 million CpG and CpH sites in enhancers in prefrontal cortex neurons of individuals with no/mild, moderate, and severe AD pathology (n = 101). We identify 1224 differentially methylated enhancer regions; most of which are hypomethylated at CpH sites in AD neurons. CpH methylation losses occur in normal aging neurons, but are accelerated in AD. Integration of epigenetic and transcriptomic data demonstrates a pro-apoptotic reactivation of the cell cycle in post-mitotic AD neurons. Furthermore, AD neurons have a large cluster of significantly hypomethylated enhancers in the DSCAML1 gene that targets BACE1. Hypomethylation of these enhancers in AD is associated with an upregulation of BACE1 transcripts and an increase in amyloid plaques, neurofibrillary tangles, and cognitive decline.Epigenetic control of enhancers may contribute to neurological disease. Here the authors carry out genome-wide analysis of DNA methylation in neurons isolated postmortem from patients with Alzheimer’s disease.

[1]  Tao Wang,et al.  Enhancers active in dopamine neurons are a primary link between genetic variation and neuropsychiatric disease , 2018, Nature Neuroscience.

[2]  B. Ueberheide,et al.  Proteomic analysis of neurons microdissected from formalin-fixed, paraffin-embedded Alzheimer’s disease brain tissue , 2015, Scientific Reports.

[3]  Lee E. Edsall,et al.  Human DNA methylomes at base resolution show widespread epigenomic differences , 2009, Nature.

[4]  Martin J. Aryee,et al.  A cell epigenotype specific model for the correction of brain cellular heterogeneity bias and its application to age, brain region and major depression , 2013, Epigenetics.

[5]  Felix Krueger,et al.  Bismark: a flexible aligner and methylation caller for Bisulfite-Seq applications , 2011, Bioinform..

[6]  H. Braak,et al.  Neuropathological stageing of Alzheimer-related changes , 2004, Acta Neuropathologica.

[7]  D. Reich,et al.  Principal components analysis corrects for stratification in genome-wide association studies , 2006, Nature Genetics.

[8]  B. Strooper,et al.  BACE1 Physiological Functions May Limit Its Use as Therapeutic Target for Alzheimer's Disease , 2016, Trends in Neurosciences.

[9]  C. Jack,et al.  Hypothetical model of dynamic biomarkers of the Alzheimer's pathological cascade , 2010, The Lancet Neurology.

[10]  D. Bennett,et al.  Education modifies the association of amyloid but not tangles with cognitive function , 2005, Neurology.

[11]  Michael Q. Zhang,et al.  Integrative analysis of 111 reference human epigenomes , 2015, Nature.

[12]  Cornelia M. Wilson,et al.  Tau protein kinases: Involvement in Alzheimer's disease , 2013, Ageing Research Reviews.

[13]  Justin P Sandoval,et al.  Single-cell methylomes identify neuronal subtypes and regulatory elements in mammalian cortex , 2017, Science.

[14]  Li-Huei Tsai,et al.  Recovery of learning and memory is associated with chromatin remodelling , 2007, Nature.

[15]  Anthony D. Schmitt,et al.  A Compendium of Chromatin Contact Maps Reveals Spatially Active Regions in the Human Genome. , 2016, Cell reports.

[16]  S. Horvath,et al.  An epigenetic clock for gestational age at birth based on blood methylation data , 2016, Genome Biology.

[17]  D. Selkoe Alzheimer's Disease Is a Synaptic Failure , 2002, Science.

[18]  Manolis Kellis,et al.  Alzheimer's disease: early alterations in brain DNA methylation at ANK1, BIN1, RHBDF2 and other loci , 2014 .

[19]  R. Nitsch,et al.  Formation of Neurofibrillary Tangles in P301L Tau Transgenic Mice Induced by Aβ42 Fibrils , 2001, Science.

[20]  Rafael A Irizarry,et al.  Detection and accurate False Discovery Rate control of differentially methylated regions from Whole Genome Bisulfite Sequencing , 2017, bioRxiv.

[21]  Orion J. Buske,et al.  Lactase non-persistence is directed by DNA variation-dependent epigenetic aging , 2016, Nature Structural &Molecular Biology.

[22]  M. Levine,et al.  Epigenetic age of the pre-frontal cortex is associated with neuritic plaques, amyloid load, and Alzheimer’s disease related cognitive functioning , 2015, Aging.

[23]  Charles C. White,et al.  Identification of genes associated with dissociation of cognitive performance and neuropathological burden: Multistep analysis of genetic, epigenetic, and transcriptional data , 2017, PLoS medicine.

[24]  S. Akbarian,et al.  Neuronal nuclei isolation from human postmortem brain tissue. , 2008, Journal of visualized experiments : JoVE.

[25]  Li-Huei Tsai,et al.  Aberrant Cdk5 Activation by p25 Triggers Pathological Events Leading to Neurodegeneration and Neurofibrillary Tangles , 2003, Neuron.

[26]  D. Selkoe Alzheimer's disease. , 2011, Cold Spring Harbor perspectives in biology.

[27]  Michael Tanen,et al.  The BACE1 inhibitor verubecestat (MK-8931) reduces CNS β-amyloid in animal models and in Alzheimer’s disease patients , 2016, Science Translational Medicine.

[28]  Reisa A. Sperling,et al.  Alzheimer's disease , 2015, Nature Reviews Disease Primers.

[29]  Matthew D. Schultz,et al.  Global Epigenomic Reconfiguration During Mammalian Brain Development , 2013, Science.

[30]  Neva C. Durand,et al.  A 3D Map of the Human Genome at Kilobase Resolution Reveals Principles of Chromatin Looping , 2014, Cell.

[31]  H. O'Geen,et al.  Protein Delivery of an Artificial Transcription Factor Restores Widespread Ube3a Expression in an Angelman Syndrome Mouse Brain , 2016, Molecular therapy : the journal of the American Society of Gene Therapy.

[32]  S. Horvath DNA methylation age of human tissues and cell types , 2013, Genome Biology.

[33]  Mitchell T Caprelli Regulation of Synaptic Amyloid-β Generation through BACE1 Retrograde Transport in a Mouse Model of Alzheimer's Disease , 2017, The Journal of Neuroscience.

[34]  D. Bennett,et al.  Cross-tissue methylomic profiling strongly implicates a role for cortex-specific deregulation of ANK1 in Alzheimer’s disease neuropathology , 2014, Nature neuroscience.

[35]  W. Sung,et al.  Chromatin connectivity maps reveal dynamic promoter–enhancer long-range associations , 2013, Nature.

[36]  R. Shoemaker,et al.  Library-free Methylation Sequencing with Bisulfite Padlock Probes , 2012, Nature Methods.

[37]  Jason J. Corneveaux,et al.  A genome-wide scan for common variants affecting the rate of age-related cognitive decline , 2012, Neurobiology of Aging.

[38]  Qihua Tan,et al.  Identification, replication and characterization of epigenetic remodelling in the aging genome: a cross population analysis , 2017, Scientific Reports.

[39]  D. Bennett,et al.  Rescue of Early bace-1 and Global DNA Demethylation by S-Adenosylmethionine Reduces Amyloid Pathology and Improves Cognition in an Alzheimer’s Model , 2016, Scientific Reports.

[40]  D. Bennett,et al.  Methylomic profiling implicates cortical deregulation of ANK1 in Alzheimer's disease , 2014, Nature Neuroscience.

[41]  M. van Iterson,et al.  Controlling bias and inflation in epigenome- and transcriptome-wide association studies using the empirical null distribution , 2016, Genome Biology.

[42]  Zhisong He,et al.  Comprehensive investigation of temporal and autism-associated cell type composition-dependent and independent gene expression changes in human brains , 2017, Scientific Reports.

[43]  A. Fagan,et al.  Evaluation of Tau Imaging in Staging Alzheimer Disease and Revealing Interactions Between β-Amyloid and Tauopathy. , 2016, JAMA neurology.

[44]  Kazuyuki Takata,et al.  Cdk5 Is a Key Factor in Tau Aggregation and Tangle Formation In Vivo , 2003, Neuron.

[45]  Ernest Fraenkel,et al.  Network-Based Interpretation of Diverse High-Throughput Datasets through the Omics Integrator Software Package , 2016, PLoS Comput. Biol..

[46]  S. Sahu,et al.  Dynamics and function of distal regulatory elements during neurogenesis and neuroplasticity , 2015, Genome research.

[47]  M. Daly,et al.  LD Score regression distinguishes confounding from polygenicity in genome-wide association studies , 2014, Nature Genetics.

[48]  Andres Metspalu,et al.  The transcriptional landscape of age in human peripheral blood , 2015, Nature Communications.

[49]  Tae-Kyung Kim,et al.  Stimulus-specific combinatorial functionality of neuronal c-fos enhancers , 2015, Nature Neuroscience.

[50]  Thomas J. Ha,et al.  Transcribed enhancers lead waves of coordinated transcription in transitioning mammalian cells , 2015, Science.

[51]  Ting Wang,et al.  EpiCompare: an online tool to define and explore genomic regions with tissue or cell type‐specific epigenomic features , 2017, Bioinform..

[52]  A. Sharp,et al.  Genome-wide DNA methylation profiling in the superior temporal gyrus reveals epigenetic signatures associated with Alzheimer’s disease , 2016, Genome Medicine.

[53]  Manolis Kellis,et al.  Alzheimery's disease pathology is associated with early alterations in brain DNA methylation at ANK1, BIN1, RHBDF2 and other loci , 2014, Nature Neuroscience.

[54]  S. Horvath,et al.  Increased epigenetic age and granulocyte counts in the blood of Parkinson's disease patients , 2015, Aging.

[55]  A. Clark,et al.  Elevated neuronal Cdc2-like kinase activity in the Alzheimer disease brain , 1999, Neuroscience Research.

[56]  David A Bennett,et al.  Religious Orders Study and Rush Memory and Aging Project. , 2018, Journal of Alzheimer's disease : JAD.

[57]  David J. Margolis,et al.  Regulation of Synaptic Amyloid-β Generation through BACE1 Retrograde Transport in a Mouse Model of Alzheimer's Disease , 2017, The Journal of Neuroscience.

[58]  Terrence J. Sejnowski,et al.  Epigenomic Signatures of Neuronal Diversity in the Mammalian Brain , 2015, Neuron.

[59]  D. Zheng,et al.  Pioneer factors govern super-enhancer dynamics in stem cell plasticity and lineage choice , 2015, Nature.

[60]  C. Glass,et al.  Simple combinations of lineage-determining transcription factors prime cis-regulatory elements required for macrophage and B cell identities. , 2010, Molecular cell.

[61]  Matthew E. Ritchie,et al.  limma powers differential expression analyses for RNA-sequencing and microarray studies , 2015, Nucleic acids research.

[62]  Thomas Vierbuchen,et al.  Genome-wide identification and characterization of functional neuronal activity–dependent enhancers , 2014, Nature Neuroscience.

[63]  Li-Huei Tsai,et al.  Cdk5: one of the links between senile plaques and neurofibrillary tangles? , 2003, Journal of Alzheimer's disease : JAD.

[64]  K. Herrup,et al.  Ectopic Cell Cycle Proteins Predict the Sites of Neuronal Cell Death in Alzheimer’s Disease Brain , 1998, The Journal of Neuroscience.

[65]  Benjamin P. Berman,et al.  FunciSNP: an R/bioconductor tool integrating functional non-coding data sets with genetic association studies to identify candidate regulatory SNPs , 2012, Nucleic acids research.

[66]  R. Agami,et al.  Enhancer-associated RNAs as therapeutic targets , 2015, Expert opinion on biological therapy.

[67]  Mark Daly,et al.  Haploview: analysis and visualization of LD and haplotype maps , 2005, Bioinform..

[68]  Ying Li,et al.  Measure transcript integrity using RNA-seq data , 2016, BMC Bioinformatics.

[69]  Andrew E. Teschendorff,et al.  A comparison of reference-based algorithms for correcting cell-type heterogeneity in Epigenome-Wide Association Studies , 2017, BMC Bioinformatics.

[70]  Daniel R. Schonhaut,et al.  PET Imaging of Tau Deposition in the Aging Human Brain , 2016, Neuron.

[71]  Cheng Li,et al.  Adjusting batch effects in microarray expression data using empirical Bayes methods. , 2007, Biostatistics.

[72]  H. Leonhardt,et al.  DNA methylation analysis on purified neurons and glia dissects age and Alzheimer’s disease-specific changes in the human cortex , 2018, Epigenetics & Chromatin.

[73]  Matthew P Frosch,et al.  Enhanced Tau Aggregation in the Presence of Amyloid β. , 2017, The American journal of pathology.

[74]  Matthew Baker,et al.  Amyloid-β alters the DNA methylation status of cell-fate genes in an Alzheimer's disease model. , 2013, Journal of Alzheimer's disease : JAD.

[75]  Gabor T. Marth,et al.  A global reference for human genetic variation , 2015, Nature.

[76]  Yi Su,et al.  Tau and Aβ imaging, CSF measures, and cognition in Alzheimer's disease , 2016, Science Translational Medicine.

[77]  K. Herrup,et al.  Nuclear localization of Cdk5 is a key determinant in the postmitotic state of neurons , 2008, Proceedings of the National Academy of Sciences.

[78]  S. Kauppinen,et al.  Treatment of HCV infection by targeting microRNA. , 2013, The New England journal of medicine.

[79]  Lan T M Dao,et al.  Genome-wide characterization of mammalian promoters with distal enhancer functions , 2017, Nature Genetics.

[80]  David A Bennett,et al.  Building a pipeline to discover and validate novel therapeutic targets and lead compounds for Alzheimer's disease. , 2014, Biochemical pharmacology.

[81]  Nick C Fox,et al.  Meta-analysis of 74,046 individuals identifies 11 new susceptibility loci for Alzheimer's disease , 2013, Nature Genetics.

[82]  J. Hoozemans,et al.  Physiological and pathophysiological functions of cell cycle proteins in post-mitotic neurons: implications for Alzheimer’s disease , 2015, Acta Neuropathologica.

[83]  Harrison W. Gabel,et al.  Early-Life Gene Expression in Neurons Modulates Lasting Epigenetic States , 2017, Cell.

[84]  J. Schneider,et al.  Much of late life cognitive decline is not due to common neurodegenerative pathologies , 2013, Annals of neurology.

[85]  Guoping Fan,et al.  Distribution, recognition and regulation of non-CpG methylation in the adult mammalian brain , 2013, Nature Neuroscience.

[86]  Petti T. Pang,et al.  Opposing Roles of Transient and Prolonged Expression of p25 in Synaptic Plasticity and Hippocampus-Dependent Memory , 2005, Neuron.

[87]  S. Quake,et al.  A survey of human brain transcriptome diversity at the single cell level , 2015, Proceedings of the National Academy of Sciences.

[88]  Hyoung-Gon Lee,et al.  Neuronal cell cycle re-entry mediates Alzheimer disease-type changes. , 2007, Biochimica et biophysica acta.

[89]  D. Bennett,et al.  Conscientiousness, dementia related pathology, and trajectories of cognitive aging. , 2015, Psychology and aging.

[90]  R. Mayeux,et al.  Molecular drivers and cortical spread of lateral entorhinal cortex dysfunction in preclinical Alzheimer's disease , 2013, Nature Neuroscience.

[91]  A. Sharp,et al.  Genome-wide12 DNA methylation profiling in the superior temporal gyrus reveals epigenetic signatures associated with Alzheimer’s disease , 2016, Genome Medicine.

[92]  Xiaohui Xie,et al.  MotifMap: integrative genome-wide maps of regulatory motif sites for model species , 2011, BMC Bioinformatics.

[93]  Bin Zhang,et al.  Amyloid-β plaques enhance Alzheimer's brain tau-seeded pathologies by facilitating neuritic plaque tau aggregation , 2017, Nature Medicine.

[94]  Toshiyuki Yamada,et al.  Molecular biology of the Ets family of transcription factors. , 2003, Gene.

[95]  R. Meagher,et al.  Characterization of brain cell nuclei with decondensed chromatin , 2015, Developmental neurobiology.

[96]  Ash A. Alizadeh,et al.  Robust enumeration of cell subsets from tissue expression profiles , 2015, Nature Methods.

[97]  Eric E. Schadt,et al.  variancePartition: interpreting drivers of variation in complex gene expression studies , 2016, BMC Bioinformatics.