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NCT03734419 Clinical Trial

The Use of Aging Biomarkers in Saliva, Based on DNA Methylation Status in Elovl2 to Predict Biological Age

Healthy Clinical Trial

Official title:
Clinical Trials on Prediction of Biological Age Using Saliva Samples of Healthy Population, Based on DNA Methylation Status in ELOVL2 Gene

Clinical Trial Details — Status: Withdrawn

Administrative data
NCT number NCT03734419
Other study ID # HKG-Epiaging-104
Secondary ID
Status Withdrawn
Phase
First received
Last updated
Start date December 1, 2019
Est. completion date December 1, 2021

Study information
Verified date December 2023
Source HKGepitherapeutics
Contact n/a
Is FDA regulated No
Health authority
Study type Observational

Clinical Trial 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.

Recruitment information / eligibility
Status Withdrawn
Enrollment 0
Est. completion date December 1, 2021
Est. primary completion date July 1, 2020
Accepts healthy volunteers Accepts Healthy Volunteers
Gender All
Age group 18 Years to 100 Years
Eligibility Inclusion Criteria: - Healthy population Exclusion Criteria: - Chronic diseases

Study Design

Related Conditions & MeSH terms

Locations
Country Name City State
n/a

Sponsors (1)
Lead Sponsor Collaborator
HKGepitherapeutics

Outcome
Type Measure Description Time frame Safety issue
Primary The Use of Aging Biomarkers in Saliva, Based on DNA Methylation Status in Elovl2 to Predict Biological Age. 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.		 6 months to 1 year
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