Application of systems biology to the study of chronic kidney disease / 中华医学杂志(英文版)
Chinese Medical Journal
;
(24): 2603-2609, 2012.
Artigo
em Inglês
| WPRIM
| ID: wpr-283715
ABSTRACT
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.
Texto completo:
DisponíveL
Índice:
WPRIM (Pacífico Ocidental)
Assunto principal:
Biologia Computacional
/
Perfilação da Expressão Gênica
/
Biologia de Sistemas
/
Insuficiência Renal Crônica
/
Estudo de Associação Genômica Ampla
/
Genética
/
Metabolismo
/
Métodos
Tipo de estudo:
Estudo prognóstico
Limite:
Humanos
Idioma:
Inglês
Revista:
Chinese Medical Journal
Ano de publicação:
2012
Tipo de documento:
Artigo
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