The IBM Watson (13) drug discovery platform was used to extract activating relationships between regulated metabolites (as compounds) and genes. The “Explore a Network” function uses NLP and searches for genes, drugs, conditions, or chemicals to discover a network of relationships supported by evidence found in medical documents and other data sources. Publication bias is corrected through a nonpublished mechanism using this approach. The dysregulated metabolites were entered as chemicals, and the results were protein-encoding genes associated with the metabolites. The identifications were filtered using a confidence score of at least 86/100 (default setting) and at least three papers showing the relationship. The resulting network was exported and reopened in Cytoscape version 3.6.1 (44). Nodes and edges were colored and rearranged as described in the figure legend. The raw data for the network are presented in data file S5.

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