My project aims to integrate Omics data on lipid peroxidation products (LPPs) and their protein adducts into systems medicine view on obesity and related complications. I will use clinical and Omics data for statistical evaluation, networks analysis and mathematical modeling to understand a role of oxidative stress and LPPs in disease onset and progression. We are constantly collecting data from our experiments as well as publically available datasets on various LPPs to be integrated in LPPdb, a first knowledge database on oxidized lipids. LPPdb will provide a platform to scientists from academia, clinics and industry to support the identification of different LPP species form high-throughput lipidomics for biomarker discovery and validation and thus help to determine "biomarker signatures" to assess pathological processes. Furthermore, we are working on development and optimization of software tools for high-throughput identification of oxidized lipids from LC-MS/MS data.