NCT03734419

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.

Trial Health

15
At Risk

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Trial has exceeded expected completion date
Timeline
Completed

Started Dec 2019

Status
withdrawn

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

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Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

November 6, 2018

Completed
2 days until next milestone

First Posted

Study publicly available on registry

November 8, 2018

Completed
1.1 years until next milestone

Study Start

First participant enrolled

December 1, 2019

Completed
7 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

July 1, 2020

Completed
1.4 years until next milestone

Study Completion

Last participant's last visit for all outcomes

December 1, 2021

Completed
Last Updated

December 21, 2023

Status Verified

December 1, 2023

Enrollment Period

7 months

First QC Date

November 6, 2018

Last Update Submit

December 18, 2023

Conditions

Healthy

Keywords

epiagingbiological agechronological ageDNA methylationELOVL2-AS1ELOVL2

Outcome Measures

Primary Outcomes (1)

  • 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

Eligibility Criteria

Age18 Years - 100 Years
Sexall
Healthy VolunteersYes
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

The study population will consist of men and women aged from 18 to 100 years old of different ethnicities living in Kazakhstan.

You may qualify if:

  • Healthy population

You may not qualify if:

  • Chronic diseases

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Biospecimen

Retention: SAMPLES WITH DNA

Saliva

0

Study Design

Study Type
observational
Observational Model
OTHER
Time Perspective
OTHER
Sponsor Type
INDUSTRY
Responsible Party
SPONSOR

Study Record Dates

First Submitted

November 6, 2018

First Posted

November 8, 2018

Study Start

December 1, 2019

Primary Completion

July 1, 2020

Study Completion

December 1, 2021

Last Updated

December 21, 2023

Record last verified: 2023-12