INTEGRATING THE METPA AND IPA TO VERIFY THE BIOLOGICAL FUNCTION OF THE POTENTIAL BIOMARKERS FROM PLASMA METABONOMICS IN DIABETIC RATS

Introduction: A massive endogenous metabolite in the Type 2 diabetes are generated by the research on metabonomics, however, we don't clearly know the causality relationship in potential biomarkers and the disease. Aim of this study is to provide an efficient strategy to verify the biological function of the potential biomarkers from untargeted metabolomics. Materials and methods:The combination of Metabolomic Pathway Analysis (MetPA) and Ingenuity Pathway Analysis (IPA) software to characterize diabetic rats' 7 potential biomarkers' biological function. MetPA was performed to generate a scatter plot to trace the pathway impact size. IPA was executed to produce the canonical pathways and upstream regulators. Results: 4 metabolites pathways, 12 canonical pathways, 7 upstream regulators (RAS, NFkB, S1PR1-5,et al) were activity predictor for the identification of the 7 potential biomarkers. Conclusion: Our study highlights the use of metabolomic methods and algorithms as an available strategy that may provide new directions for treating candidate metabolomic biomarkers, which enhance to dissect the biological function of the biomarkers from untargeted metabolomics.