Approved Research

Multi-angle exploration of chronic diseases in the elderly

Lay summary

Objectives:

The aim of this project is to explore the factors of occurrence, development and prognosis of chronic diseases in the elderly through genes and gene derivatives.

Justification:

Previous studies have confirmed that genes, environment, behavior habits and metabolites in the body and other factors will affect the development of chronic diseases in the elderly. But none of the studies were isolated and did not explain chronic disease in older adults from multiple perspectives.

Mendelian randomization studies can eliminate confounding factors in experiments, thereby improving the reliability and validity of experimental results, and therefore play an important role in determining the occurrence of chronic diseases. Metabolomics can explain the difference between different chronic diseases in the same population and the same chronic disease in different populations by analyzing metabolites. Based on the information obtained, AI is used to integrate patient data, establish high-performance prediction models to assess the risk of chronic diseases in the elderly, and formulate individual-specific treatment plans.

Project Duration:

The project will be completed in three years.

Public Health Impact:

Our research may bring new treatments for diseases, provide new therapeutic targets for drug development, and develop individualized treatment regimens for different populations, which is of great significance to public health and population health.