DNA methylation (DNAm) at specific sites can be used to calculate 'epigenetic clocks', which in adulthood are used as indicators of age(). However, little is known about how these clock sites 'behave' during development and what factors influence their variability in early life. This knowledge could be used to optimize healthy aging well before the onset of age-related conditions. Here, we leveraged results from two longitudinal population-based cohorts (=5,019 samples from 2,348 individuals) to characterize trajectories of adult clock sites from birth to early adulthood. We find that clock sites (i) diverge widely in their developmental trajectories, often showing non-linear change over time; (ii) are substantially more likely than non-clock sites to vary between individuals already from birth, differences that are predictive of DNAm variation at later ages; and (iii) show enrichment for genetic and prenatal environmental exposures, supporting an early-origins perspective to epigenetic aging.
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http://dx.doi.org/10.1101/2024.03.12.584597 | DOI Listing |
Alzheimers Dement
December 2024
Yale University, New Haven, CT, USA.
Background: Alcohol Use Disorder (AUD) affects over 15 million individuals in the United States, contributing to oxidative stress, neuroinflammation, and elevating the risk of neurodegeneration. Despite this, the connection between AUD and aging conditions, particularly Alzheimer's disease (AD), remains unclear. AD, with a heritability of 60-80%, is genetically linked, necessitating an exploration of the molecular implications of AUD and genetic susceptibility to AD.
View Article and Find Full Text PDFMicrob Genom
January 2025
Department of Microbiology, Oxford University Hospitals, Oxford, UK.
The NRCS-A strain has emerged as a global cause of late-onset sepsis associated with outbreaks in neonatal intensive care units (NICUs) whose transmission is incompletely understood. Demographic and clinical data for 45 neonates with and 90 with other coagulase-negative staphylococci (CoNS) isolated from sterile sites were reviewed, and clinical significance was determined. isolated from 27 neonates at 2 hospitals between 2017 and 2022 underwent long-read (ONT) (=27) and short-read (Illumina) sequencing (=18).
View Article and Find Full Text PDFGeroscience
December 2024
Department of Ecology, Evolution, and Marine Biology, Department of Molecular, Cellular, and Cell Biology, Neuroscience Research Institute, University of California, Santa Barbara, CA, 93106, USA.
Significant links between aging and DNA methylation are emerging from recent studies. On the one hand, DNA methylation undergoes changes with age, a process termed as epigenetic drift. On the other hand, DNA methylation serves as a readily accessible and accurate biomarker for aging.
View Article and Find Full Text PDFbioRxiv
December 2024
Cell Biology and Gene Expression Section, Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD 20892, USA.
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 PDFbioRxiv
December 2024
Dept. of Developmental Biology and Cancer Research, Institute for Medical Research Israel-Canada, The Hebrew University-Hadassah Medical School, Jerusalem, Israel.
Age-dependent changes in DNA methylation allow chronological and biological age inference, but the underlying mechanisms remain unclear. Using ultra-deep sequencing of >300 blood samples from healthy individuals, we show that age-dependent DNA methylation changes are regional and occur at multiple adjacent CpG sites, either stochastically or in a coordinated block-like manner. Deep learning analysis of single-molecule patterns in two genomic loci achieved accurate age prediction with a median error of 1.
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