Aging is associated with increased mutational burden in every tissue studied. Occasionally,
fitness-increasing mutations will arise, leading to stem cell clonal expansion. This process …

DNA methylation dynamics have emerged as a promising biomarker of mammalian aging,
with multivariate machine learning models ('epigenetic clocks') enabling measurement of …

Older age is a strong shared risk factor for many chronic diseases, and there is increasing
interest in identifying aging biomarkers. Here, a proteomic analysis of 1301 plasma proteins …

Background Epigenetic clocks can track both chronological age (cAge) and biological age
(bAge). The latter is typically defined by physiological biomarkers and risk of adverse health …

Numerous studies have shown that epigenetic age—an individual's degree of aging based
on patterns of DNA methylation—can be computed and is associated with an array of factors …

Although chronological age correlates with various age‐related diseases and conditions, it
does not adequately reflect an individual's functional capacity, well‐being, or mortality risk …

Background and objective As the proportion of aging people in our population increases
steadily, global strategies accompanied by extensive research are necessary to tackle …

Background and Objectives DNA methylation algorithms are increasingly used to estimate
biological aging; however, how these proposed measures of whole-organism biological …

The notion that the germ line does not age goes back to the 19th-century ideas of August
Weismann. However, being metabolically active, the germ line accumulates damage and …

Exposure to chronic adverse conditions, and the resultant activation of the neurobiological
response cascade, has been associated with an increased risk of early onset of age-related …