Fig. 6: Network medicine identifies human fasting module associated with aging genes and diseases of aging.
From: Non-canonical lysosomal lipolysis drives mobilization of adipose tissue energy stores with fasting
a Differentially expressed (DE) transcripts from a longitudinal human fasting study were mapped to the consolidated human interactome, which includes >230,000 physical protein-protein interactions (PPIs). DE fasting transcripts formed a statistically distinct subnetwork (module) in the interactome. b Interconnectivity of the fasting genes and aging genes from the Aging Atlas that mapped to the interactome. c Betweenness centrality (BC), a measure of importance in information transfer across a network based on shortest paths was used to identify candidate regulators of the interaction between the fasting and aging phenotypes. This unbiased in silico analysis identified MITF as a critical node. d Network proximity between the fasting module and aging disease modules or cardiometabolic disease modules. The node size is proportional to the number genes/proteins in the module. The width of the edge is proportional to proximity significance.
