Distinct and shared pathways of health and lifespan can be untangled following a concerted approach led by experimental design and a rigorous analytical strategy where the confounding effects of diet and feeding regimens can be dissected. In this chapter, we use integrated analysis of multiomics (transcriptomics-metabolomics) data in liver from mice to gain insight into pathways associated with improved health and survival. We identify a unique metabolic hub involving glycine-serine-threonine metabolism at the core of lifespan, and a pattern of shared pathways related to improved health.
Keywords: Computational systems biology; Diet; Gene and functional ontologies; Healthy aging; Integrated pathway analysis; Time-restricted feeding; Topology-based pathway network analysis.
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