INS and type 2 diabetes mellitus: In this study, we developed a machine learning model that could differentiate an individual with T2D from a NGT individual on the basis of expression of a key metagenome of IR in insulin-responsive tissues, particularly adipose tissue, with almost 70 to 75 percent accuracy in a cross-sectional study.