To aid the integration of profiles from proteins, lipids and metabolites, we generated a network that combines a protein–protein interaction network and enzymatic and genetic interactions of proteins with metabolites and lipids. The hyperbolic embedding of the network was used to produce a map that reflects cellular functions and discriminates hubs. Proximity in the map can be used to find relations across proteins, lipids and metabolites through a user-friendly Shiny R software package (Omint) [1]. We demonstrate the use of the multiomic network to identify lipids and metabolites associated with CVD-related proteins and to study the temporal effects of the antidiabetic drug empagliflozin on lipid metabolism using data from the EmDia study [2]. The EmDia study demonstrated that some of the positive effects of the drug are related to lipid modulation.
References
[1] Anyaegbunam, A.U., A. Vagiona, V. ten Cate, K. Bauer, T. Schmidlin, U. Distler, S. Tenzer, E. Araldi, L. Bindila, P. Wild and M.A. Andrade-Navarro. 2025. A map of the lipid-metabolite-protein network to aid multi-omics integration. Biomolecules. 15, 484.
[2] Bauer, K., D. Baker, R. Lerner, T. Koeck, G. Buch, Z. Fischer, E.E. Esenkova, M. Nuber, M.A. Andrade-Navarro, S. Tenzer, P.S. Wild, L. Bindila, E. Araldi. 2025. Effect of Empagliflozin on the plasma lipidome in patients with type 2 diabetes mellitus – results from the EmDia clinical trial. Cardiovascular Diabetology. In press