Clinical Trials on Prediction of Biological Age Using Saliva Samples of Healthy Population, Based on DNA Methylation Status in ELOVL2 Gene
Overview
- Phase
- Not Applicable
- Intervention
- Not specified
- Conditions
- Healthy
- Sponsor
- HKGepitherapeutics
- Primary Endpoint
- The Use of Aging Biomarkers in Saliva, Based on DNA Methylation Status in Elovl2 to Predict Biological Age.
- Status
- Withdrawn
- Last Updated
- 2 years ago
Overview
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.
Investigators
Eligibility Criteria
Inclusion Criteria
- •Healthy population
Exclusion Criteria
- •Chronic diseases
Outcomes
Primary Outcomes
The Use of Aging Biomarkers in Saliva, Based on DNA Methylation Status in Elovl2 to Predict Biological Age.
Time Frame: 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.