Healthy
Conditions
Keywords
epiaging, biological age, chronological age, DNA methylation, ELOVL2-AS1, ELOVL2
Brief summary
There is a big change in our understanding of aging in recent years. Recent researches has revealed clock-like patterns of epigenetic change across in humans. The aging involves a timed epigenetic reprogramming. However, this biological clock which ticks in our DNA is affected by our experience, diet, stress, etc. and it could be changed by experience and life style potentially. The purpose of this study is to develop and test non-invasive biomarkers based on methylation changes in ELOVL2-AS1 gene in saliva samples using a next generation sequencing.
Interventions
None listed
Sponsors
HKGepitherapeutics
Study design
Observational model
OTHER
Time perspective
OTHER
Eligibility
Sex/Gender
ALL
Age
18 Years to 100 Years
Healthy volunteers
Yes
Inclusion criteria
* Healthy population
Exclusion criteria
* Chronic diseases
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| The Use of Aging Biomarkers in Saliva, Based on DNA Methylation Status in Elovl2 to Predict Biological Age. | 6 months to 1 year | We will develop the linear model and a threshold value correlated with chronological age of the individuals participated in the current study. The model will be provided to the researchers: Methylation score=(CG1\*b1+CG2\*b2+ CG3\*b3+CGn\*n) + e CG1 is the methylation value of the first CG b1 is the regression coefficient for the first CG and e equals the intercept. n-is a number of CGs in the model We will develop the regression coefficient and intercept as well as the DNA methylation values for each individual for each CG. |
Outcome results
None listed