As a complicated process, aging is characterized by various changes at the cellular, subcellular, and nuclear levels, one of which is epigenetic aging. With increasing awareness of the critical role that epigenetic alternations play in aging, DNA methylation patterns have been employed as a measure of biological age, currently referred to as the epigenetic clock. With its expertise in epigenetics and cutting-edge technologies, CD BioSciences has developed an advanced epigenetic aging clock platform that offers unparalleled accuracy and reliability.
Fig. 1 Schematic diagram of an epigenetic clock across a human lifetime. (Xiao FH, et al., 2019)
Overview of Our Epigenetic Aging Clocks Services
Customized clock design
CD BioSciences understands that different research projects may require specific sets of CpG sites or customized clock designs. They offer tailored solutions to meet the unique requirements of their clients, ensuring that the epigenetic aging clock aligns with the specific objectives of the study.
Clock development
CD BioSciences offers expertise in the development of epigenetic aging clocks. Their team of scientists and researchers utilizes machine learning algorithms and mathematical modeling techniques to construct predictive models based on DNA methylation patterns. These models accurately estimate an individual's biological age based on the identified CpG sites.
Technology and platform development
CD BioSciences invests in the development of cutting-edge technologies and platforms for epigenetic analysis. They stay abreast of the latest advancements in the field and utilize state-of-the-art laboratory equipment and software tools to ensure accurate and efficient analysis of DNA methylation data.
Development Process of Epigenetic Aging Clocks
We offer the epigenetic aging clock platform that involves the meticulous analysis of epigenetic modifications, specifically DNA methylation patterns. By identifying and quantifying specific DNA methylation sites, known as CpG sites, we can derive a formula to accurately predict an individual's biological age.
Initially, we typically start by analyzing large-scale DNA methylation data from a diverse set of individuals across different age groups. Next, we utilize advanced bioinformatics techniques to identify the most informative DNA methylation sites that correlate with age. Then, we employ machine learning algorithms to develop a mathematical model that can predict an individual's age based on the DNA methylation patterns at these CpG sites.
Applications of Epigenetic Aging Clocks
We apply the epigenetic aging clocks in diverse applications in several domains, to assist our clients in understanding age-related processes and diseases. One prominent application is in the field of personalized medicine. By accurately predicting an individual's biological age, we can assist healthcare professionals in tailoring prevention strategies and treatment plans based on an individual's unique aging profile.
Furthermore, we use the epigenetic aging clocks in assessing lifestyle interventions and evaluating the efficacy of anti-aging therapies. By monitoring changes in an individual's epigenetic clock following interventions such as exercise, diet, or pharmaceutical interventions, we can gauge the impact of these interventions on biological aging.
Epigenetic Clocks in Anti-Aging Research
Beyond their utility in predictive medicine, we also use epigenetic clocks as a "surrogate endpoint" to assess drugs or other anti-aging interventions in trials, preventing our clients from having to wait decades for results. The epigenetic aging clock has become a powerful tool for assessing the effectiveness of various anti-aging interventions. We assess the impact of interventions on the aging process by measuring the biological age of individuals before and after treatment.
CD BioSciences remains committed to advancing the frontier of epigenetic aging clock analysis, driving innovations in anti-aging research and personalized medicine. If you are interested in our services, please feel free to contact us or make an online inquiry.
Reference
- Xiao FH, et al. Dynamic DNA Methylation During Aging: A "Prophet" of Age-Related Outcomes. Front Genet, 2019, 10: 107.
All of our services and products are intended for preclinical research use only and cannot be used to diagnose, treat or manage patients.
