Age is the biggest risk factor for a number of chronic diseases. While genetic changes across lifespan are limited, a recent study by Benoit Lehallier and Nir Barzilai demonstrated that the proteome undergoes measurable waves of change that reflect distinct biological pathways associated with age-linked disease. The study identified age-related patterns in ~3,000 proteins across >4,000 healthy individuals between the ages of 20 and 95 using the SomaScan® Proteomics Platform.
In this webinar, Lehallier and Barzilai discuss the findings of their Nature Medicine paper “Undulating changes in human plasma proteome profiles across the lifespan” and present new data exploring how probing the proteome can help us to separate chronological age from biological age.
Topics covered include:
- How circulating proteins can be used to predict age and relative health
- How the speed and timing of biological aging has changed over time
- Proteomic signatures of frailty
- Sex-related differences in proteome stability
- The proteome in descendants of centenarians
- Targeting aging based on protein signatures
and many more listed below: