Back

Fisher Information and the Dynamics of Multicellular Aging

Hale, Z. F.; Michaels, T. C.; Canez, G. A.

2025-01-27 biophysics
10.1101/2025.01.24.634675 bioRxiv
Show abstract

Information theory has long been integrated into the study of biological aging, for example in examining the roles of genetic and epigenetic fidelity in cellular and organismal longevity. Here, we introduce a theoretical model that interprets aging in multicellular systems through the lens of Fisher information. Previous theories have suggested that the aging of multicellular organisms is an inevitable consequence of the inherent tension between individual cell reproduction and the homeostasis of the multicellular system. Utilizing concepts from information theory and statistical mechanics, we show that Fisher information parametrizes the dynamics of this tension through non-monotonic behaviour which depends on an optimal balance of competition and cooperation between cells. Moreover, Fisher information suggests that the ability to infer true biological age from a sample evolves through complex dynamics over an organisms lifespan.

Matching journals

The top 8 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.