title: Network biomarkers, interaction networks and dynamical network biomarkers in respiratory diseases.
abstract: Identification and validation of interaction networks and network biomarkers have become more critical and important in the development of disease-specific biomarkers, which are functionally changed during disease development, progression or treatment. The present review headlined the definition, significance, research and potential application for network biomarkers, interaction networks and dynamical network biomarkers (DNB). Disease-specific interaction networks, network biomarkers, or DNB have great significance in the understanding of molecular pathogenesis, risk assessment, disease classification and monitoring, or evaluations of therapeutic responses and toxicities. Protein-based DNB will provide more information to define the differences between the normal and pre-disease stages, which might point to early diagnosis for patients. Clinical bioinformatics should be a key approach to the identification and validation of disease-specific biomarkers.
authors.affiliation: Department of Respiratory Medicine, Zhongshan Hospital, Fudan University, Shanghai, China ; Shanghai Respiratory Research Institute, Shanghai, China.
authors.forename: Xiaodan
authors.initials: X
authors.lastname: Wu
authors.affiliation: Key Laboratory of Systems Biology, SIBS-Novo Nordisk PreDiabetes Center, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China.
authors.forename: Luonan
authors.initials: L
authors.lastname: Chen
authors.affiliation: Department of Respiratory Medicine, Zhongshan Hospital, Fudan University, Shanghai, China ; Shanghai Respiratory Research Institute, Shanghai, China ; Biomedical Research Center, Zhongshan Hospital, Fudan University, Shanghai 200032, China.
authors.forename: Xiangdong
authors.initials: X
authors.lastname: Wang
keywords: Diagnosis; Dynamic network biomarkers; Lung cancer; Network biomarkers; Prognosis