Document Detail


Application of systems biology to the study of chronic kidney disease.
MedLine Citation:
PMID:  22882947     Owner:  NLM     Status:  In-Data-Review    
Abstract/OtherAbstract:
Chronic kidney disease (CKD) is a major public health problem that affects about 10% of the general population. Current approaches to characterize the category and progression of CKD are normally based on renal histopathological results and clinical parameters. However, this information is not sufficient to predict CKD progression risk reliably or to guide preventive interventions. Nowadays, the appearance of systems biology has brought forward the concepts of "-omics" technologies, including genomics, transcriptomics, proteomics, and metabolomics. Systems biology, together with molecular analysis approaches such as microarray analysis, genome-wide association studies (GWAS), and serial analysis of gene expression (SAGE), has provided the framework for a comprehensive analysis of renal disease and serves as a starting point for generating novel molecular diagnostic tools for use in nephrology. In particular, analysis of urinary mRNA and protein levels is rapidly evolving as a non-invasive approach for CKD monitoring. All these systems biological molecular approaches are required for application of the concept of "personalized medicine" to progressive CKD, which will result in tailoring therapy for each patient, in contrast to the "one-size-fits-all" therapies currently in use.
Authors:
Yu-Han Cao; Lin-Li Lü; Jian-Dong Zhang; Bi-Cheng Liu
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Chinese medical journal     Volume:  125     ISSN:  0366-6999     ISO Abbreviation:  Chin. Med. J.     Publication Date:  2012 Jul 
Date Detail:
Created Date:  2012-08-13     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  7513795     Medline TA:  Chin Med J (Engl)     Country:  China    
Other Details:
Languages:  eng     Pagination:  2603-9     Citation Subset:  IM    
Affiliation:
Institute of Nephrology, Zhong Da Hospital, Southeast University, Nanjing, Jiangsu 210009, China.
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