期刊
NEPHROLOGY DIALYSIS TRANSPLANTATION
卷 31, 期 12, 页码 2003-2011出版社
OXFORD UNIV PRESS
DOI: 10.1093/ndt/gfv364
关键词
chronic kidney disease; data integration; omics; systems biology; therapeutic target
资金
- FP7 programme 'Clinical and system-omics for the identification of the Molecular Determinants of established Chronic Kidney Disease' (iMODE-CKD) [PEOPLE-ITN-GA-2013-608332]
- FP7 programme 'Systems Biology to Identify Molecular Targets for Vascular Disease Treatment' (SysVasc) [HEALTH-2013 603288]
The quest for the ideal therapeutic target in chronic kidney disease (CKD) has been riddled with many obstacles stemming from the molecular complexity of the disease and its co-morbidities. Recent advances in omics technologies and the resulting amount of available data encompassing genomics, proteomics, peptidomics, transcriptomics and metabolomics has created an opportunity for integrating omics datasets to build a comprehensive and dynamic model of the molecular changes in CKD for the purpose of biomarker and drug discovery. This article reviews relevant concepts in omics data integration using systems biology, a mathematical modelling method that globally describes a biological system on the basis of its modules and the functional connections that govern their behaviour. The review describes key databases and bioinformatics tools, as well as the challenges and limitations of the current state of the art, along with practical application to CKD therapeutic target discovery. Moreover, it describes how systems biology and visualization tools can be used to generate clinically relevant molecular models with the capability to identify specific disease pathways, recognize key events in disease development and track disease progression.
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