DNA Methylation-Based Age Prediction From Human Blood
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DNA Methylation-Based Age Prediction From Human Blood


Many studies have shown a strong correlation between DNA methylation and aging, so DNA methylation has become an increasingly popular research direction for age prediction. Age prediction models based on DNA methylation of various tissue samples have emerged, including studies using human blood tissue samples. CD BioSciences provides age prediction services for blood samples based on DNA methylation analysis and predicts biological age by establishing quantitative statistical relationships.

Introduction of DNA Methylation-Based Age Prediction from Blood

DNA methylation is currently the best marker for predicting age, and the degree of DNA methylation in different tissues is correlated with age. Age-related DNA methylation changes in different tissues have been studied and age prediction models based on DNA methylation changes have been developed. By predicting DNA methylation age from DNA methylation measurements at a few to hundreds of CpG sites, we provide relevant information about life expectancy as well as unknown samples.

Sample Requirements

  • Blood sample collection
    We suggest that blood samples be collected in a sterile manner to ensure that biological materials are not contaminated.
  • Anticoagulant tubes
    We recommend that the blood sample ideally be collected in anticoagulant tubes, such as EDTA (ethylenediaminetetraacetic acid) tubes, to prevent clotting and preserve the integrity of the DNA.
  • Proper handling and storage
    Once collected, we give guidance that the blood samples should be properly labeled with the information and handled with care to prevent degradation of the DNA. They need to be stored at the appropriate temperature and conditions to maintain sample quality until processing.

Workflow of DNA Methylation-Based Age Prediction from Blood

Using DNA methylation analyses, we are working on blood age prediction models to help clients make biological age predictions.

Workflow of human age prediction based on DNA methylation by blood.

  • Blood sample collection and DNA extraction
    Once the blood sample is collected, we extract genomic DNA using specialized techniques to ensure the purity and integrity of the DNA, which is essential for downstream methylation analysis.
  • DNA methylation analysis
    We employ advanced technologies to profile DNA methylation patterns, such as whole-genome bisulfite sequencing as well as array-based methods. Whole-genome bisulfite sequencing provides a comprehensive view of DNA methylation across the entire genome, while array-based methods offer a targeted approach by focusing on specific regions of interest.
  • Age prediction
    We determine the correlation between DNA methylation levels and chronological age, select the appropriate CpGs as predictors of chronological age, and apply artificial models such as the Horvath clocks to predict age.

Service Features

  • Our DNA methylation analysis services capture the intricate methylation patterns in the genome, enabling comprehensive and reliable age prediction.
  • We adhere to stringent quality assurance measures throughout the entire workflow, from sample collection to data interpretation.
  • We recognize the diverse applications of DNA methylation-based age prediction and offer customizable solutions to meet specific research.

CD BioSciences is a professional aging research service provider. We offer a full range of age prediction services using our unique biological clock technology. The company offers services ranging from sample collection to sequencing, as well as personalized age prediction. Its goal is to assist research institutions and enterprises in analyzing research issues related to human aging and longevity.

If you have any questions about our human age prediction services, please feel free to contact us. Our technical support will reply to you as soon as possible. Looking forward to working with you!

All of our services and products are intended for preclinical research use only and cannot be used to diagnose, treat or manage patients.