Although epigenetic processes have been linked to aging and disease in other systems, it is not yet known whether they relate to reproductive aging. Recently, we developed a highly accurate epigenetic biomarker of age (known as the "epigenetic clock"), which is based on DNA methylation levels. Here we carry out an epigenetic clock analysis of blood, saliva, and buccal epithelium using data from four large studies: the Women's Health Initiative (n = 1,864); Invecchiare nel Chianti (n = 200); Parkinson's disease, Environment, and Genes (n = 256); and the United Kingdom Medical Research Council National Survey of Health and Development (n = 790). We find that increased epigenetic age acceleration in blood is significantly associated with earlier menopause (P = 0.00091), bilateral oophorectomy (P = 0.0018), and a longer time since menopause (P = 0.017). Conversely, epigenetic age acceleration in buccal epithelium and saliva do not relate to age at menopause; however, a higher epigenetic age in saliva is exhibited in women who undergo bilateral oophorectomy (P = 0.0079), while a lower epigenetic age in buccal epithelium was found for women who underwent menopausal hormone therapy (P = 0.00078). Using genetic data, we find evidence of coheritability between age at menopause and epigenetic age acceleration in blood. Using Mendelian randomization analysis, we find that two SNPs that are highly associated with age at menopause exhibit a significant association with epigenetic age acceleration. Overall, our Mendelian randomization approach and other lines of evidence suggest that menopause accelerates epigenetic aging of blood, but mechanistic studies will be needed to dissect cause-and-effect relationships further.
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http://dx.doi.org/10.1073/pnas.1604558113 | DOI Listing |
JACC Adv
January 2025
Department of Endocrinology Medicine, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China.
Background: Early-onset ischemic heart disease (IHD) is a growing burden associated with high disability and death.
Objectives: This study aimed to estimate the burden of incidence, prevalence, and disability-adjusted life years (DALY) of early-onset IHD from 1990 to 2019.
Methods: Data on the burden of early-onset IHD (men<55 years, women<65 years), including prevalence, incidence, DALY, and deaths, were collected from the Global Burden of Disease study for 204 countries and territories from 1990 to 2019.
Background: Childhood obesity has become a global pandemic and is one of the strongest risk factors for cardiovascular disease later in life. The correlation of epigenetic marks with obesity and related traits is being elucidated. This review summarizes the latest research and its challenges in the study of epigenetics of (childhood) obesity.
View Article and Find Full Text PDFJ Transl Med
January 2025
Department of Gastroenterology, The First Affiliated Hospital of Ningbo University, Ningbo, 315010, China.
Colorectal cancer (CRC) is the third most prevalent malignancy and the second leading cause of cancer-related mortality worldwide, with an increasing shift towards younger age of onset. In recent years, there has been increasing recognition of the significance of tRNA-derived small RNAs (tsRNAs), encompassing tRNA-derived fragments (tRFs) and tRNA halves (tiRNAs). Their involvement in regulating translation, gene expression, reverse transcription, and epigenetics has gradually come to light.
View Article and Find Full Text PDFCardiovasc Diabetol
January 2025
Department of Endocrinology and Nutrition, Virgen de la Victoria University Hospital, 29010, Málaga, Spain.
Background: The prevalence of obesity and type 2 diabetes mellitus (T2DM) is rising globally, particularly among children exposed to adverse intrauterine environments, such as those associated with gestational diabetes mellitus (GDM). Epigenetic modifications, specifically DNA methylation, have emerged as mechanisms by which early environmental exposures can predispose offspring to metabolic diseases. This study aimed to investigate DNA methylation differences in children born to mothers with GDM compared to non-GDM mothers, using saliva samples, and to assess the association of these epigenetic patterns with early growth measurements.
View Article and Find Full Text PDFNat Rev Genet
January 2025
Altos Labs, Cambridge, UK.
Over the past decade, epigenetic clocks have emerged as powerful machine learning tools, not only to estimate chronological and biological age but also to assess the efficacy of anti-ageing, cellular rejuvenation and disease-preventive interventions. However, many computational and statistical challenges remain that limit our understanding, interpretation and application of epigenetic clocks. Here, we review these computational challenges, focusing on interpretation, cell-type heterogeneity and emerging single-cell methods, aiming to provide guidelines for the rigorous construction of interpretable epigenetic clocks at cell-type and single-cell resolution.
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