Clinical Trial Details
— Status: Not yet recruiting
Administrative data
NCT number |
NCT04911556 |
Other study ID # |
Z202002 |
Secondary ID |
|
Status |
Not yet recruiting |
Phase |
N/A
|
First received |
|
Last updated |
|
Start date |
June 1, 2021 |
Est. completion date |
December 31, 2022 |
Study information
Verified date |
May 2021 |
Source |
Wuxi People's Hospital |
Contact |
Kan Hong, doctor |
Phone |
13358119885 |
Email |
2898456291[@]qq.com |
Is FDA regulated |
No |
Health authority |
|
Study type |
Interventional
|
Clinical Trial Summary
This study intends to recruit aging population (over 65 years old). The investigators use 16
SrDNA sequencing technology, genome sequencing technology, metabonomics, random forest
forecast model, analysing and selecting specific age-related intestinal flora. The
investigators select probiotics slowing down senility. Then the investigators use the
probiotics to intervene in the aging population. Finally the investigators observe whether
the probiotics can delay aging.
Description:
This project plans to recruit the aging population (aged over 65 years old) and
comprehensively analyze the public database and self-sequencing clinical big data by using 16
srDNA sequencing technology, metagenomic sequencing technology, metabonomics methods and
Random Forest (R) prediction model to judge the key bacterial communities and related
functional pathways related to aging.Based on the analysis results, the probiotics with the
potential to alleviate aging were selected for intervention evaluation of aging population.
This topic aims to explore the change process of intestinal flora structure and composition
related to aging process.Identify the key intestinal bacteria genera/species/strains
associated with aging, and target the pathway and metabolic characteristic spectrum of the
key bacterial communities associated with aging;And select and breed specific intestinal
bacterial strains related to aging.The aim is to reduce the age-related metabolic
abnormalities and chronic inflammation, reduce medical treatment, rationally allocate medical
resources, reduce medical costs and improve the quality of life.