2/11/2024 0 Comments Frog mutating flat worm![]() ![]() However, there is currently no resource for systematic profiling of biological age. In recent years, many machine learning algorithms based on omics data, termed aging clocks, have been developed that can accurately predict the age of biological samples. More InformationĪbstract Aging represents the greatest risk factor for chronic diseases and mortality, but to understand it, we need the ability to measure biological age. The elevation of biological age by stress may be a quantifiable and actionable target for future interventions. Our study uncovers a new layer of aging dynamics that should be considered in future studies. Together, these data show that biological age undergoes a rapid increase in response to diverse forms of stress, which is reversed following recovery from stress. We also identify transient changes in biological age during major surgery, pregnancy, and severe COVID-19 in humans and/or mice. At epigenetic, transcriptomic, and metabolomic levels, we find that the biological age of young mice is increased by heterochronic parabiosis and restored following surgical detachment. Here, we report that biological age is fluid and exhibits rapid changes in both directions. However, recent in vitro studies have raised the possibility of age reversal. Abstract Aging is classically conceptualized as an ever-increasing trajectory of damage accumulation and loss of function, leading to increases in morbidity and mortality.
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