Unraveling the metabolic heterogeneity and commonality in senescent cells using systems modeling

Abstract

Cellular senescence is a key contributor to aging and aging-related diseases, but its metabolic profiles are not well understood. Here, we performed a systematic analysis of the metabolic features of four types of cellular senescence (replication, irradiation, reactive oxygen species [ROS], and oncogene) in 12 cell lines using genome-wide metabolic modeling and meta-analysis. We discovered that replicative and ROS-induced senescence share a common metabolic signature, marked by decreased lipid metabolism and downregulated mevalonate pathway, while irradiation and oncogene-induced senescence exhibit more heterogeneity and divergence. Our genome-wide knockout simulations showed that enhancing the mevalonate pathway, by administrating mevalonate for instance, could reverse the metabolic alterations associated with senescence and human tissue aging, suggesting a potential anti-aging or lifespan-extending effect. Indeed, the experiment in Caenorhabditis elegans showed that administrating mevalonate significantly increased the lifespan. Our study provides a new insight into the metabolic landscape of cell senescence and identifies potential targets for anti-aging interventions.

Keywords

cellular senescence / metabolic profile / metabolic modeling / meta-analysis

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