Aging and the immune system: New research untangles massive datasets to build tools, uncover clues on how we age
Understanding aging is key to reducing disease, healthcare costs, and suffering, with the immune system offering critical insights hidden within large datasets like the Health and Retirement Study. This research aims to develop advanced methods to decode and analyze immune data, identify key immune signatures in older adults, and clarify their link to age related decline and diseases, while also providing open source tools for researchers ultimately advancing knowledge on how immunity influences aging.
The five-year grant, valued at approximately $1.3 million, supports research led by Gen Li, associate professor of biostatistics at the School of Public Health, to explore the immune system’s role in aging. The project aims to leverage large-scale datasets like the Health and Retirement Study to develop transparent, interpretable machine learning tools that can distinguish true biological signals from noise, uncover immune patterns, and explain why some individuals age more healthily than others.
Grace Noppert, research assistant professor at the Survey Research Center and faculty associate at the Population Studies Center, highlights that aging is not driven by time alone, as individuals of the same age can have vastly different immune profiles and disease risks. This research takes a novel systems level approach combining multiple immune measures rather than relying on a few biomarkers to better understand immune aging and why some people stay healthier than others despite the complexity and variability of immune data.
Muneesh Tewari, Ray and Ruth Anderson Laurence M. Sprague Memorial Research Professor and professor of internal medicine and biomedical engineering, emphasizes that this project will develop advanced data analysis tools to help researchers understand the impact of aging on the immune system in a more integrated and reliable way.
