Cells in our body contain a genetic code that provides instructions for producing the necessary proteins essential for our survival. Over time, these cells undergo modifications known as ‘genetic switches,’ which influence the interpretation of genetic instructions without altering the genetic code itself. These epigenetic changes play a crucial role in estimating the biological age of cells and tissues within the body.
Research conducted in Lithuania has shed light on the fluctuating nature of epigenetic changes within cells throughout the day. A study involving multiple blood samples collected from a 52-year-old man at three-hour intervals over a period of 72 hours revealed surprising results. Analysis of 17 different epigenetic clocks within the white blood cells showed significant differences in their age estimation, with cells appearing ‘younger’ in the morning hours and ‘older’ around midday. These variations were equivalent to approximately 5.5 years’ worth of changes, indicating a daily cycle in cellular aging.
The findings suggested that relying on a single tissue sample for epigenetic testing may not provide an accurate representation of cellular age. The study highlighted the importance of considering the fluctuation of epigenetic clocks throughout the day and the impact of white blood cell subtype counts on age estimation. While previous studies have primarily used whole blood samples for aging research, the study emphasized the need for multiple samples at different times to obtain a comprehensive understanding of cellular aging.
The study’s results have broader implications for predicting the risk of age-related diseases in populations. By recognizing the oscillation of epigenetic clocks throughout the day, scientists can develop more precise methods for estimating cellular age. Taking multiple samples at varied times of day could provide a more accurate picture of cellular aging and facilitate better predictions about the prevalence of age-related diseases in different populations.
The study conducted in Lithuania demonstrates the dynamic nature of epigenetic clocks in cells and the importance of considering fluctuations in age estimation throughout the day. By expanding research methods to include multiple samples at different times, scientists can enhance their understanding of cellular aging and improve predictions about age-related diseases.
Leave a Reply