Metabolomics in systems medicine: an overview of methods and applications. Issue 15 (June 2019)

• Record Type: Journal Article
• Authors: Karakitsou, Effrosyni; Foguet, Carles; de Atauri, Pedro; Kultima, Kim; Khoonsari, Payam Emami; Martins dos Santos, Vitor A.P.; Saccenti, Edoardo; Rosato, Antonio; Cascante, Marta
• Is Part Of: Current opinion in systems biology. Issue 15(2019)
• Page Start: 91
• Page End: 99
• Publication Date: 2019-06
• Subjects: Systems medicine -- Metabolomics -- Multiomics -- Kinetic modellig -- Constraint-based modelling -- Personalized medicine; Systems biology -- Periodicals; 570
• DOI: 10.1016/j.coisb.2019.03.009
• Languages: English
• ISSNs: 2452-3100

Abstract

Abstract: Patient-derived metabolomics offers valuable insights into the metabolic phenotype underlying diseases with a strong metabolic component. Thus, these data sets will be pivotal to the implementation of personalized medicine strategies in health and disease. However, to take full advantage of such data sets, they must be integrated with other omics within a coherent pathophysiological framework to enable improved diagnostics, to identify therapeutic interventions, and to accurately stratify patients. Herein, we provide an overview of the state-of-the-art data analysis and modeling approaches applicable to metabolomics data and of their potential for systems medicine. Highlights: Metabolomics integrated with multi-omics data sets can strongly foster systems medicine. Modeling and analysis of metabolic fluxes permit to decipher complex biological relationships. Metabolomics-based systems medicine can improve diagnostics, therapeutics, and patient stratification.