Last updated:
ID:
200882
Start date:
13 February 2025
Project status:
Current
Principal investigator:
Dr Hongshan Guo
Lead institution:
Zhejiang University, China

Lay Summary of the Research Project:
Aims: Our research aims to improve how we understand and predict the aging process in human organs. We plan to do this by using detailed genetic data (Whole Genome Sequencing, WGS) and protein studies (proteomics) from a large health database known as the UK Biobank. The goal is to refine current models that predict how and why organs age, making these predictions more accurate and applicable to people from different parts of the world, including China.
Scientific Rationale: As we get older, our organs age, and this process varies from person to person. Scientists have developed models to predict these changes, but there’s still a lot we don’t know. Advances in genetics and protein studies give us new tools to understand aging better. The UK Biobank has a wealth of genetic and protein data from many individuals, which is a goldmine for researchers like us. By analyzing this data, we can uncover new insights into how aging happens at the molecular level. This understanding can then be used to update our current aging models, making them more reliable.
Project Duration: The project is planned for a total duration of 3 years. This time frame includes collecting and analyzing the data, improving the aging models, and then testing these models to make sure they work well, especially in different population groups such as in China.
Public Health Impact: This research has the potential to greatly benefit public health. By improving our understanding of how organs age, we can better predict and possibly prevent age-related health issues. This is especially important as our global population is living longer. With more accurate aging models, doctors can offer more personalized healthcare, tailored to how an individual’s organs are aging. This could lead to better management of age-related diseases and overall better health in our later years.
In summary, our project aims to harness the power of genetic and protein data to revolutionize our understanding of aging. This could have far-reaching impacts, not just in the field of aging research, but in how we approach healthcare for the elderly worldwide.