Omics studies represent advanced and promising measurement approaches for diseases and therapeutics biomarkers discovery. Currently, integrating multiple omics datasets is a promising analytical approach to provide holistic insights to disease pathophysiology and more effective theraputics develpoment. Metabolites are the most functional biomolecules to reflect the phenotype while proteomics provide a useful window into a range of biological processes and allow the identification of differentially expressed proteins between samples. Together with several international collaborators we apply state of-the-art analytical approaches including targeted and untargeted metabolomics, pharmacometabolomics, lipidomics, and proteomics to provide novel insights into pathophysiological mechanisms underlying diseases, identify unique diagnostic and prognostic biomarkers, investigate drug/treatment mechanism of action and side effects, and identify metabolomics surrogate pattern for drug exposome to promote health outcomes at a personalized level....