Molecular models of the cardiorenal syndrome. Issue 11 (5th June 2013)

• Record Type: Journal Article
• Authors: Heinzel, Andreas; Fechete, Raul; Mühlberger, Irmgard; Perco, Paul; Mayer, Bernd; Lukas, Arno
• Is Part Of: Electrophoresis. Volume 34:Issue 11(2013:Jun.)
• Page Start: NA
• Page End: NA
• Publication Date: 2013-06-05
• Subjects: Biomarker -- Cross‐omics -- Integration -- Process -- Systems biology; Electrophoresis -- Periodicals; Electrophoresis -- Periodicals; 541.372
• DOI: 10.1002/elps.201370101
• Languages: English
• ISSNs: 0173-0835

Abstract

Abstract : Electrophoresis 2013, 34, 1649‐1656. DOI: 10.1002/elps.201200642 Proteomics (together with other Omics procedures) provides us with extendedmolecular feature sets characterizing clinical phenotypes; challenge is to traverse such molecular feature sets into molecular processes and pathways allowing an interpretation of the pathophysiological background of phenotypes, from there enabling effective biomarker and drug/target selection. Delineating suchmolecular diseasemodels, resting on Omics profile integration utilizing molecular interaction networks, has become feasible, as exemplarily shown for chronic kidney disease (left) and cardiovascular disease (right). The models encompass individual molecular processes (nodes of the models with their respectivemolecular feature subgraphs) and the functional dependence between such process nodes. Such molecular models allow improved analysis of specific clinical phenotypes, but also enable analysis of their mutual interaction, in the given case being the cardio‐renal syndrome at the interface of kidney and cardiovascular disease.