Aging, Healthy Aging
Conditions
Keywords
Microbiota, multi-omics
Brief summary
This study is an observational study designed to adopt a cross-sectional study design. In the context of China's longevity town (East Asian population), Yongfu, Guangxi, the background of non-medical care and antibiotic use was explored, and the intestinal microecological balance increased with age and natural health. Longevity relationship. This study was completed using a household survey. Through routine clinical examinations and analysis of biochemical laboratory indicators, at the same time, a questionnaire for ADL(activities of daily living), cognitive function, and related elderly information was carried out on the elderly to comprehensively provide health information for each elderly. Based on the remaining stool samples and serum samples, the second-generation sequencing technology and other omics-based technologies were explored. No additional collection of human specimens and information is involved. In addition, this study also hopes to explore the transmission rules of age-related bacteria in long-lived families, and the relationship with health phenotypes such as blood sugar, blood lipids, and cognitive function. Potential impact. In summary, this study will provide data support for exploring the relationship between healthy longevity and intestinal microecological balance based on the characteristic population of the longevity hometown.
Interventions
None listed
Sponsors
Study design
Eligibility
Inclusion criteria
* Obtained informed consent signed by volunteer or guardian * Local lived for more than 50 years
Exclusion criteria
* Subjects being treated with antibiotic in 3 months * People who cannot cooperate with completing the survey * Severe gastrointestinal disorders
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Aging-related fecal microbiota annotation | 0 week | Taxonomy of bacteria(family,genus,species),Gene of bacteria |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| interface of microbiota and other biomarkers in aging and related conditions | 0 week | to study the correlation between microbiota and circulating biomarkers, including metabolite, and the shifts in various aging and related conditions |