To perform a cross-comparative analysis of DNA methylation in patients with systemic lupus erythematosus (SLE), patients with primary Sjögren's syndrome (pSS), and healthy controls addressing the question of epigenetic sharing and aiming to detect disease-specific alterations. DNA extracted from peripheral blood from 347 cases with SLE, 100 cases with pSS, and 400 healthy controls were analyzed on the Human Methylation 450k array, targeting 485,000 CpG sites across the genome. A linear regression model including age, sex, and blood cell type distribution as covariates was fitted, and association -values were Bonferroni corrected. A random forest machine learning classifier was designed for prediction of disease status based on DNA methylation data. We established a combined set of 4,945 shared differentially methylated CpG sites (DMCs) in SLE and pSS compared to controls. In pSS, hypomethylation at type I interferon induced genes was mainly driven by patients who were positive for Ro/SSA and/or La/SSB autoantibodies. Analysis of differential methylation between SLE and pSS identified 2,244 DMCs with a majority of sites showing decreased methylation in SLE compared to pSS. The random forest classifier demonstrated good performance in discerning between disease status with an area under the curve (AUC) between 0.83 and 0.96. The majority of differential DNA methylation is shared between SLE and pSS, however, important quantitative differences exist. Our data highlight neutrophil dysregulation as a shared mechanism, emphasizing the role of neutrophils in the pathogenesis of systemic autoimmune diseases. The current study provides evidence for genes and molecular pathways driving common and disease-specific pathogenic mechanisms.
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http://dx.doi.org/10.3389/fimmu.2019.01686 | DOI Listing |
Predicting health trajectories and accurately measuring aging processes across the human lifespan remain profound scientific challenges. Assessing the effectiveness and impact of interventions targeting aging is even more elusive, largely due to the intricate, multidimensional nature of aging-a process that defies simple quantification. Traditional biomarkers offer only partial perspectives, capturing limited aspects of the aging landscape.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
University of Exeter, Exeter, Devon, United Kingdom.
Background: Huntington's disease (HD) is an autosomal dominant condition causing severe neurodegeneration in the striatum and the entorhinal cortex (EC). An epigenome wide association study of DNA methylation in HD by our group, identified potential hypomethylation at the PTGDS gene in the striatum. We aimed to validate this result through pyrosequencing, examining the locus in fine detail, and to assess the signal specificity by profiling multiple neurodegenerative diseases.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Amsterdam UMC, Amsterdam, Netherlands.
Background: The TMEM106B protein is critical for proper functioning of the endolysomal system, which is utilised by all cells to traffic and degrade molecular cargo. Genome-wide association studies identified a haplotype in the TMEM106B gene that is associated with increased risk for Alzheimer's disease (AD), amyotrophic lateral sclerosis (ALS), and frontotemporal lobar degeneration with TAR DNA binding protein inclusions (FTLD-TDP). However, the causal variant that drives the association has thus far remained elusive.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
University of Exeter, Exeter, Devon, United Kingdom.
Background: Psychosis (broadly delusions and hallucinations) has a cumulative disease prevalence of around 40% in Alzheimer's disease (AD). The epigenomic, genomic, and neuropathological data provide powerful evidence that AD+P has a distinct neurobiological profile. Here, we used the weighted gene co-expression network analysis (WGCNA) method to investigate DNA methylation associated with AD+P in the dorsolateral prefrontal cortex of 153 post-mortem brain samples.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Karolinska Institutet, Solna, Sweden.
Background: High age is the biggest risk factor for Alzheimer's disease (AD). Approved drugs that slow down the aging process have the potential to be repurposed for the primary prevention of AD. The aim of our project was to use a reverse translational approach to identify such drug candidates in epidemiological data followed by validation in cell-based models and animal models of aging and AD.
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