Clinical Trials on Prediction of Biological Age Using Saliva Samples of Healthy Population, Based on DNA Methylation Status in ELOVL2 Gene
试验速览
- 阶段
- 不适用
- 状态
- 撤回
- 发起方
- 主要终点
- The Use of Aging Biomarkers in Saliva, Based on DNA Methylation Status in Elovl2 to Predict Biological Age.
研究概览
简要总结
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.
研究设计
- 研究类型
- Observational
- 观察模型
- Other
- 时间视角
- Other
入排标准
- 年龄范围
- 18 Years 至 100 Years（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- •Healthy population
排除标准
- •Chronic diseases
结局指标
主要结局
The Use of Aging Biomarkers in Saliva, Based on DNA Methylation Status in Elovl2 to Predict Biological Age.
时间窗: 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.
次要结局
未报告次要终点