As described by Kirtipal et al., by integrating intestinal metagenome, metabolome, and host data, machine learning algorithms can predict individual glycemic responses and reveal that microbiota metabolites (such as SCFAs) affect diabetes progression by regulating insulin sensitivity, providing a new strategy for precision nutrition (133). The gene discussed is INS; the disease is diabetes mellitus.