The decline in episodic memory (EM) performance is a hallmark of cognitive aging and an early clinical sign in Alzheimer’s disease (AD). In this study, we conducted an epigenome-wide association study (EWAS) using DNA methylation (DNAm) profiles from buccal and blood samples for cross-sectional (n = 1019) and longitudinal changes in EM performance (n = 626; average follow-up time 5.4 years) collected under the auspices of the Lifebrain consortium project. The mean age of participants with cross-sectional data was 69 ± 11 years (30−90 years), with 50% being females. We identified 21 loci showing suggestive evidence of association (p < 1 × 10−5) with either or both EM phenotypes. Among these were SNCA, SEPW1 (both cross-sectional EM), ITPK1 (longitudinal EM), and APBA2 (both EM traits), which have been linked to AD or Parkinson’s disease (PD) in previous work. While the EM phenotypes were nominally significantly (p < 0.05) associated with poly-epigenetic scores (PESs) using EWASs on general cognitive function, none remained significant after correction for multiple testing. Likewise, estimating the degree of “epigenetic age acceleration” did not reveal significant associations with either of the two tested EM phenotypes. In summary, our study highlights several interesting candidate loci in which differential DNAm patterns in peripheral tissue are associated with EM performance in humans.
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http://dx.doi.org/10.3390/biomedicines10112798 | DOI Listing |
Diabetes
December 2024
Epigenetics and Diabetes Unit, Department of Clinical Sciences Malmö, Lund University Diabetes Centre, Skåne University Hospital, Malmö, Sweden.
There is an increasing need for new biomarkers improving prediction of chronic kidney disease (CKD) in individuals with type 2 diabetes (T2D). We aimed to identify blood-based epigenetic biomarkers associated with incident CKD and develop a methylation risk score (MRS) predicting CKD in newlydiagnosed individuals with T2D. DNA methylation was analysed epigenome-wide in blood from 487 newly-diagnosed individuals with T2D, of whom 88 developed CKD during 11.
View Article and Find Full Text PDFUnlabelled: DNA methylation is an important epigenetic mechanism that helps define and maintain cellular functions. It is influenced by many factors, including environmental exposures, genotype, cell type, sex, and aging. Since age is the primary risk factor for developing neurodegenerative diseases, it is important to determine if aging-related DNA methylation is retained when cells are reprogrammed to an induced Pluripotent Stem Cell (iPSC) state.
View Article and Find Full Text PDFAm J Hum Genet
December 2024
Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK.
Exploring the molecular correlates of metabolic health measures may identify their shared and unique biological processes and pathways. Molecular proxies of these traits may also provide a more objective approach to their measurement. Here, DNA methylation (DNAm) data were used in epigenome-wide association studies (EWASs) and for training epigenetic scores (EpiScores) of six metabolic traits: body mass index (BMI), body fat percentage, waist-hip ratio, and blood-based measures of glucose, high-density lipoprotein cholesterol, and total cholesterol in >17,000 volunteers from the Generation Scotland (GS) cohort.
View Article and Find Full Text PDFBMC Genomics
December 2024
Department of Genetics, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands.
Microbiome influences multiple human systems, but its effects on gene methylation is unknown. We investigated the relations between gene methylation in blood and the abundance of common gut bacteria profiled by 16s rRNA gene sequencing in two population-based Dutch cohorts: LifeLines-Deep (LLD, n = 616, discovery) and the Netherlands Twin Register (NTR, n = 296, replication). In LLD, we also explored microbial pathways using data generated by shotgun metagenomic sequencing (n = 683).
View Article and Find Full Text PDFCancer Epidemiol Biomarkers Prev
December 2024
University of Chicago, Chicago, IL, United States.
Background: African American (AA) men are at increased risk of prostate cancer (PCa) compared to men of European ancestry (EA). Biological mechanisms, including epigenetics, likely contribute to this disparity, but prior studies have been limited by sample size, candidate gene approaches, or lack of epigenome-wide DNA methylation (DNAm) data.
Methods: To improve our understanding of these mechanisms, we compared DNAm features distinguishing tumor and paired histologically benign tissue from 76 AA and 75 EA PCa patients.
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