|Title||Metabolomics in systems medicine: an overview of methods and applications|
|Author(s)||Karakitsou, Effrosyni; Foguet, Carles; Atauri, Pedro de; Kultima, Kim; Khoonsari, Payam Emami; Martins dos Santos, Vitor A.P.; Saccenti, Edoardo; Rosato, Antonio; Cascante, Marta|
|Source||Current Opinion in Systems Biology 15 (2019). - ISSN 2452-3100 - p. 91 - 99.|
Systems and Synthetic Biology
|Publication type||Refereed Article in a scientific journal|
|Keyword(s)||Constraint-based modelling - Kinetic modellig - Metabolomics - Multiomics - Personalized medicine - Systems medicine|
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.