Dynamical Network Stability Analysis of Multiple Biological Ages Provides a Framework for Understanding the Aging Process.

ABSTRACT: Widespread interest in nondestructive biomarkers of aging has led to a multitude of biological ages that each proffers a "true" health-adjusted individual age. Although each measure provides salient information on the aging process, they are each univariate, in contrast to the "hallmark" and "pillar" theories of aging, which are explicitly multidimensional, multicausal, and multiscale. Fortunately, multiple biological ages can be systematically combined into a multidimensional network representation. The interaction network between these biological ages permits analysis of the multidimensional effects of aging, as well as quantification of causal influences during both natural aging and, potentially, after anti-aging intervention. The behavior of the system as a whole can then be explored

SUBMITTER: Pridham G 

PROVIDER: S-EPMC11639168 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature