Molecular models of the cardiorenal syndrome

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 a...

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Bibliographic Details
Published in:Electrophoresis 2013-06, Vol.34 (11), p.NA
Main Authors: Heinzel, Andreas, Fechete, Raul, Mühlberger, Irmgard, Perco, Paul, Mayer, Bernd, Lukas, Arno
Format: Article
Language:English
Subjects:
Biomarker
Biomarkers
Cross-omics
Electrophoresis
Integration
Kidney diseases
Kidneys
Molecular interactions
Networks
Pathways
Process
Proteomics
Systems biology
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Summary: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.
ISSN:0173-0835
1522-2683
DOI:10.1002/elps.201370101