Abstract: A method for predicting treatment response of a type II diabetes patient to rosiglitazone is provided. The method involves at least one sample from a patient having type II diabetes and analyzing biomarkers predictive of a patient who will respond to treatment with rosiglitazone. The biomarkers include, at least, interleukin-8, histidine, citrate. These biomarkers are identified in at least one classification analyses selected from the group consisting of a majority-vote based classifier and support-vector machine (SVM) classifier. Also provided is a method for predicting treatment response of a type II diabetes patient to glyburide at 8 weeks post-initiation of therapy. The method involves obtaining a sample from a type II diabetes patient who has been treated with glyburide for about 4 weeks and analyzing biomarkers predictive of a patient who will respond to treatment with glyburide at 8 weeks. The biomarkers useful in this method include, at least, sphingomyelin 23:1 and L-phenylalanine.